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Books

[B1]Rudzicz F (2016)
Clear speech: technologies that enable the expression and reception of language,
Synthesis Lectures on Assistive, Rehabilitative, and Health-Preserving Technologies, Vol. 5, No. 1, Pages 1-103, Morgan & Claypool.

Book chapters

[BC3]Rudzicz F (2021)
Machine Learning for Medicine,
In Hashimoto D.A. (Ed.) Artificial Intelligence in Surgery: A Primer for Surgical Practice. New York: McGraw Hill. ISBN: 978-1260452730
[BC2]Rudzicz F, Saqur R (2021)
Ethics of Artificial Intelligence in Surgery,
In Hashimoto D.A. (Ed.) Artificial Intelligence in Surgery: A Primer for Surgical Practice. New York: McGraw Hill. ISBN: 978-1260452730
[BC1]Rudzicz F, Joshi S (2020)
Explainable AI for the Operating Theater,
In Attalah S (Ed.) Digital Surgery. Springer. ISBN: 978-3-030-49100-0

Invited papers

[I3]Rudzicz F (2016)
Toward Dementia Diagnosis via Artificial Intelligence,
Today's Geriatric Medicine, 9(2):8, March.
[I2]Livescu K, Rudzicz F, Fosler-Lussier E, Hasegawa-Johnson M, Bilmes J (2016)
Speech Production in Speech Technologies: Introduction to the CSL Special Issue,
Computer Speech & Language, 36:165-172, March.
[I1]Christensen H, Rudzicz F, Portet F, Alexandersson J (2015)
Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 1 of the Special Issue,
ACM Transactions on Accessible Computing (TACCESS), 6(3), June.

Journals

[J59]Lam K, Abramoff MD, Balibrea JM, Bishop SM, Brady RR, Callcut RA, Chand M, Collins JW, Diener MK, Eisenmann M, Fermont K, Neto MG, Hager GD, Hinchliffe RJ, Horgan A, Jannin P, Langerman A, Logishetty K, Mahadik A, Maier-Hein L, Antona EM, Mascagni P, Mathew RK, Muller-Stich BP, Neumuth T, Nickel F, Park A, Pellino G, Rudzicz F, Shah S, Slack M, Smith MJ, Soomro N, Speidel S, Stoyanov D, Tilney HS, Wagner M, Darzi A, Kinross JM, Purkayastha S (2022)
A Delphi consensus statement for digital surgery,
Nature Digital Medicine.
[J58]Abdalla M, Lu H, Pinzaru B, Rudzicz F, Jaakkimainen L (2022)
Predicting the target specialty of referral notes to estimate per-specialty wait times with machine learning,
PLoS ONE.
[J57]Hung PS-P, Zhang JY, Noorani A, Walker MR, Huang M, Zhang JW, Laperriere N, Rudzicz F, Hodaie M (2022)
Differential expression of a brain aging biomarker across discrete chronic pain disorders,
Pain.
[J56]Nasreen S, Wang J, Kwong JC, Crowcroft NS, Sadarangani M, Wilson SE, McGeer A, Kellner JD, Quach C, Morris SK, Sander B, Kus JV, Naus M, Hoang L, Rudzicz F, Fadel S, Marra F (Accepted)
Population-based incidence of invasive pneumococcal disease in children and adults in Ontario and British Columbia, 2002–2018: a Canadian Immunization Research Network (CIRN) study,
Vaccine.
[J55]Kostas D, Aroca-Ouellette S, Rudzicz F (2021)
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data,
Frontiers in Human Neuroscience.
[J54]Hung PS-P, Noorani A, Zhang JY, Tohyama S, Laperriere N, Davis KD, Mikulis DJ, Rudzicz F, Hodaie M (2021)
Regional brain morphology predicts pain relief in trigeminal neuralgia,
NeuroImage: Clinical, 31:102706.
[J53]Balagopalan A, Eyre B, Robin J, Rudzicz F, Novikova J (2021)
Comparing Pre-trained and Feature-based Models for Prediction of Alzheimer’s Disease Based on Speech,
Frontiers in Aging Neuroscience.
[J52]Yeung AYS, Roewer-Despres F, Rosella L, Rudzicz F (2021)
Comparison of Multiple Machine Learning-based Predictions of Growth in COVID-19 Confirmed Infection Cases in Countries using Non-Pharmaceutical Interventions and Cultural Dimensions Data: Development and Validation,
JMIR, 23(4)
CODE
[J51]Sinclair J, Jang E, Rudzicz F (2021)
Using Machine Learning to Predict Children’s Reading Comprehension from Linguistic Features Extracted from Speech and Writing,
Journal of Educational Psychology.
[J50]Bensoussan Y, Pinto J, Crowson M, Walden PR, Rudzicz F, Johns M (2020)
Deep Learning for Voice Gender Identification: Proof-of-concept for Gender-Affirming Voice Care,
Laryngoscope.
[J49]Hussein T, Chauhan P, Dalmer N, Rudzicz F, Boger J (2020)
Exploring Interface Design to Support Caregivers' Needs and Feelings of Trust in Online Content,
RATE Journal.
[J48]Kostas D, Rudzicz F (2020)
Thinker Invariance: Enabling Deep Neural Networks for BCI Across More People,
Journal of Neural Engineering, 17(5).
[J47]Robin J, Harrison JE, Kaufman LD, Rudzicz F, Simpson W, Yancheva M (2020)
Evaluation of speech-based digital biomarkers: review and recommendations,
Digital Biomarkers, 4(3):99-108.
[J46]Abdalla Moh, Abdalla Mou, Hirst G, Rudzicz F (2020)
Exploring the privacy-preserving properties of word embeddings: Algorithmic validation,
JMIR, 22(7):e18055.
[J45]Abdalla Moh, Abdalla Mou, Rudzicz F, Hirst G (2020)
Using Word Embeddings to Improve the Privacy of Clinical Notes,
JAMIA, 27(6):901-907.
[J44]Clarkson PM, Ponn J, Richardson GD, Rudzicz F, Tsang A, Wang J (2020)
A Textual Analysis of U.S. Corporate Social Responsibility Reports,
Abacus, 56(1):3-34.
[J43]Khalid S, Goldenberg M, Grantcharov T, Taati B, Rudzicz F (2020)
Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance,
JAMA Network Open, 3(3).
[J42]Ghassabeh YA, Rudzicz F (2020)
Modified Subspace Constrained Mean Shift Algorithm,
Journal of Classification.
PDF
[J41]Pou-Prom C, Raimondo S, Rudzicz F (2020)
A conversational robot for older adults with Alzheimer's disease,
Transactions on Human-Robot Interaction, 9(3).
[J40]Smith MJ, Axler R, Bean S, Rudzicz F, Shaw J (2020)
Four Equity Considerations for AI in Public Health,
Bulletin of the World Health Organization, 98:290-292.
[J39]Sereshkey AR, Yousefi R, Wong AT, Rudzicz F, Chau T (2019)
Development of a ternary hybrid fNIRS-EEG brain-computer interface based on imagined speech,
Brain-Computer Interfaces, 6:4:128-140.
PDF
[J38]Khattak FK, Jeblee S, Pou-Prom C, Abdalla M, Meaney C, Rudzicz F (2019)
A survey of word embeddings for clinical text,
Journal of Biomedical Informatics, 4, December.
[J37]Ghassemi M, Goldenberg A, Morris QD, Rudzicz F, Wang B, Zemel R, Dolatabadi E, Gibson GA, Paprica PA (2019)
Accessible data, health AI, and the human right to benefit from science and its applications,
Health Law in Canada, 40(1):37-43.
[J36]Jeblee S, Gomes M, Jha P, Rudzicz F, Hirst G (2019)
Automatically determining cause of death from verbal autopsy narratives,
BMC Medical Informatics, 9:127.
[J35]Gordon L, Grantcharov T, Rudzicz F (2019)
Explainable artificial intelligence for safe intraoperative decision support,
JAMA Surgery, 154(11):1064-1065.
PDF
[J34]Shaw J, Rudzicz F, Jamieson T, Goldfarb, A (2019)
Artificial intelligence and the implementation challenge,
Journal of Medical Internet Research, 21(7):e13659.
PDF
[J33]Komeili M, Pou-Prom C, Liaqat D, Fraser K, Yancheva M, Rudzicz F (2019)
Talk2Me: Automated linguistic data collection for personal assessment,
PLoS ONE, 14(3):e0212342.
DATA
CODE
[J32]Kostas D, Pang E, Rudzicz F (2019)
Machine learning for MEG during speech tasks,
Nature, 9:1609.
CODE
[J31]Rohringer T, Budhkar A, Rudzicz F (2019)
Privacy versus artificial intelligence in medicine,
University of Toronto Medical Journal, 96(1).
[J30]Gordon L, Austin P, Rudzicz F, Grantcharov T (2019)
MySurgeryRisk and Machine Learning: A Promising Start to Real-time Clinical Decision Support,
Annals of Surgery, 269(1):14-15.
[J29]Aliyari Ghassabeh Y, Rudzicz F (2018)
Modified mean shift algorithm,
IET Image Processing, 12(12):2172-2177.
PDF
[J28]Wu R, Liaqat D, De Lara E, Son T, Rudzicz F, Alshaer H, Abed P, Gershon A (2018)
Feasibility of using a smartwatch to intensively monitor patients with COPD,
JMIR Mhealth Uhealth, 6(6).
[J27]Orozco-Arroyave JR, Vasquez-Correa JC, Vargas-Bonilla JF, Arora R, Dehak N, Nidadavolu PS, Christensen H, Rudzicz F, Yancheva M, Chinaei H, Vann A, Vogler N, Bocklet T, Cernak M, Hannink J, Noth E (2018)
NeuroSpeech: An open-source software for Parkinson's speech analysis,
Digital Signal Processing, 77:207-221.
CODE
PDF
[J26] Shokrollahi M, Rudzicz F, Vena D, Bradley DT, Yadollahi A (2017)
A novel approach for acoustic estimation of neck fluid volume between men and women,
Medical & Biological Engineering & Computing, 56(1):113-123.
[J25] Abdalla M, Rudzicz F, Hirst G (2017)
Rhetorical structure and Alzheimer's disease,
Aphasiology, 32(1):41-60.
[J24] Cernak M, Orozco-Arroyave JR, Rudzicz F, Christensen H, Nöth E, Vasquez-Correa, JC (2017)
Characterisation of voice quality of Parkinson's disease using differential phonological posterior features,
Computer Speech & Language, 46:196-208.
[J23]Ethayarajh K, Rudzicz F (2017)
The effect of photoperiod on the mood of Reddit users,
Cyberpsychology, Behavior, and Social Networking, 20(4):238-245, April.
[J22]Chinaei H, Danks A, Mehta T, Chan-Currie L, Lin H, Rudzicz F (2017)
Identifying and avoiding confusion in dialogue with people with Alzheimer's disease,
Computational Linguistics, 43(2):377-406.
[J21]Rudzicz F, Frydenlund A, Robertson S, Thaine P (2016)
Acoustic-articulatory relationships and inversion in sum-product and deep-belief networks,
Speech Communication, 79:61-73, May.
[J20]Ghassabeh YA, Rudzicz F (2016)
The mean shift algorithm and its relation to kernel regression,
Information Sciences, 348:198-208.
[J19]Multani N, Rudzicz F, Wong WYS, Namasivayam AK, Van Lieshout P (2016)
Random item generation is affected by age,
Journal of Speech, Language, and Hearing Research, 59:1172-1178.
[J18] Ghassabeh YA, Rudzicz F, Moghaddam HA (2016)
Fast adaptive algorithms for optimal feature extraction from Gaussian data,
Pattern Recognition Letters, 70:73-79.
PDF
[J17] Ben-David B, Multani N, Shakuf V, Rudzicz F, Van Lieshout P (2016)
Prosody and semantics are separate but not separable channels in the perception of emotional speech: Test of Rating of Emotions in Speech (T-RES),
Journal of Speech, Language, and Hearing Research, 59:72-89.
[J16] Sattar F, Rudzicz F (2016)
Principal differential analysis for detection of bilabial closure gestures from articulatory data,
Computer Speech & Language, 36:294-306.
[J15] Fraser K, Meltzer JA, Rudzicz F (2015)
Linguistic features differentiate Alzheimer's from controls in narrative speech,
Journal of Alzheimer's Disease, 49(3):407-422.
PDF
Baycrest Research in Print award
[J14] Ghassabeh YA, Rudzicz F (2015)
An incremental algorithm for finding principal curves,
IET Signal Processing, 9(7):521-528, September.
[J13] Dai P, Rudzicz F, Soon IY, Mihailidis A, Ding H (2015)
2D Psychoacoustic modeling of equivalent masking for automatic speech recognition,
Signal Processing, 115:9-19, October.
[J12] Rudzicz F, Wang R, Begum M, Mihailidis A (2015)
Speech interaction with personal assistive robots supporting aging-at-home for individuals with Alzheimer's disease,
ACM Transactions on Accessible Computing, 7(2). (invited talk)
[J11]Ho S-S, Dai P, Rudzicz F (2015)
Manifold learning for embedding multivariate variable-length sequences with an application to similarity search,
IEEE Transactions on Neural Networks and Learning Systems, 27(6):1333-1344.
PDF
[J10]Dai P, Ho S-S, Rudzicz F (2015)
Sequential behavior prediction based on hybrid similarity and cross-user activity transfer,
Knowledge-Based Systems, 77:29-39.
[J9]Ghassabeh YA, Rudzicz F, Moghaddam HA (2015)
Fast incremental LDA feature extraction,
Pattern Recognition, 48(6):1999-2012, June.
PDF
[J8]Namasivayam AK, Pukonen M, Goshulak D, Hard J, Rudzicz F, Rietveld T, Maassen B, Kroll R, Van Lieshout PHHM (2015),
Treatment intensity and childhood apraxia of speech,
International Journal of Language Communication Disorders, 50(4):529-546, July.
[J7]Ghassabeh YA, Rudzicz F (2014)
Noisy source vector quantization using kernel regression,
IEEE Transactions on Communications, 62(11):3825-3834.
[J6]Yadollahi A, Rudzicz F, Mahallati S, Coimbra M, Bradley TD (2014)
Acoustic estimation of neck fluid volume,
Annals of Biomedical Engineering, 42(10):2132-2142.
[J5]Rudzicz F (2013)
Adjusting dysarthric speech signals to be more intelligible,
Computer Speech & Language, 27(6):1163-1177, September.
[J4]Rudzicz F, Hirst G, Van Lieshout P (2012)
Vocal tract representation in the recognition of cerebral palsied speech,
Journal of Speech, Language, and Hearing Research, 55(4):1190-1207, August.
DATA
[J3]Rudzicz F, Namasivayam AK, Wolff T (2012)
The TORGO database of acoustic and articulatory speech from speakers with dysarthria,
Language Resources and Evaluation, 46(4):523-541.
DATA
[J2]Rudzicz F (2012)
Using articulatory likelihoods in the recognition of dysarthric speech,
Speech Communication, 54(3):430-444, March.
DATA
[J1]Rudzicz F (2011)
Articulatory knowledge in the recognition of dysarthric speech,
IEEE Transactions on Audio, Speech, and Language Processing, 19(4):947-960, May.
DATA

Refereed conferences and workshops

[C112] Zhu Z, Shahtalebi S, Rudzicz F (2022)
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization,
SCIS at ICML 2022.
[C111] Balagopalan A, Zhang H, Hamidieh K, Hartvigsen T, Rudzicz F, Ghassemi M (2022)
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations,
FAccT22.
[C110] Wang X, Mercer RE, Rudzicz F (2022)
MeSHup: Corpus for Full Text Biomedical Document Indexing,
LREC.
[C109] Zhu Z, Shahtalebi S, Rudzicz F (2022)
Predicting Fine-Tuning Performance with Probing,
BigScience at ACL.
[C108] Park Y, Rudzicz F (2022)
Detoxifying Language Models with a Toxic Corpus,
LT-EDI at ACL.
[C107]Berlot-Attwell I, Rudzicz F (2022)
Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric,
ConvAI at ACL.
[C106]Ngai H, Rudzicz F (2022)
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation,
BioNLP.
[C105]Zhu Z, Wang J, Li B, Rudzicz F (2022)
On the data requirements of probing,
Findings of the ACL.
[C104]Li B, Zhu Z, Thomas G, Rudzicz F, Xu Y (2022)
Neural reality of argument structure constructions,
ACL.
[C103]Wang X, Mercer B, Rudzicz F (2022)
KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling,
ACL.
[C102]Gagnon-Audet J-C, Shahtalebi S, Rudzicz F, Rish I (2022)
Meth: A remedy for distributional shifts through domain translation,
ICASSP.
[C101]Frydenlund A, Singh G, Rudzicz F (2022)
Language Modelling via Learning to Rank,
AAAI.
[C100]Wang J, Wang K-C, Rudzicz F, Brudno M (2021)
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation,
NeurIPS.
[C99]Ramezani A, Zhu Z, Rudzicz F, Xu Y (2021)
An unsupervised framework for tracing textual sources of moral change,
EMNLP.
[C98]Wei H, Rudzicz F, Fleet D, Grantcharov T, Taati B (2021)
Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss,
Machine Learning for Healthcare (MLHC2021).
[C97]Vishnubhotla KP, Hirst G, Rudzicz F (2021)
An Evaluation of Disentangled Representation Learning for Texts,
Findings of the ACL.
[C96]Li B, Zhu Z, Thomas G, Xu Y, Rudzicz F (2021)
How is BERT surprised? Layerwise detection of linguistic anomalies,
ACL-IJCNLP 2021.
[C95]Li B, Rudzicz F (2021)
TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction,
CMCL at NAACL21.
Best student paper award
[C94]Liaqat D, Liaqat S, Chen JL, Sedaghat T, Gabel M, Rudzicz F, de Lara E (2021)
Coughwatch: Real-world cough detection using smartwatches,
ICASSP 2021.
[C93]Balagopalan A, Naumann T, Rudzicz F, Ghassemi M (2020)
Opening a Can of Words: Train-Test Overlaps in Clinical Natural Language Processing Datasets,
ML4H 2020.
[C92]Chen J, Berlot-Attwell I, Wang X, Hossain S, Rudzicz F (2020)
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP,
ClinicalNLP workshop at EMNLP 2020.
Best paper award
[C91]Zhu Z, Pan C, Abdalla M, Rudzicz F (2020)
Examining the rhetorical capacities of neural language models,
BlackboxNLP workshop at EMNLP 2020.
[C90]Aroca-Ouellette S, Rudzicz F (2020)
On Losses for Modern Language Models,
EMNLP.
[C89]Feng J, Shaib C, Rudzicz F (2020)
Explainable Clinical Decision Support from Text,
EMNLP.
[C87]Li B, Thomas G, Xu Y, Rudzicz F (2020)
Word class flexibility: A deep contextualized approach,
EMNLP.
[C86]Zhu Z, Rudzicz F (2020)
An information theoretic view on selecting linguistic probes,
EMNLP.
[C85]Wang J, Xiao X, Wu J, Ramamurthy R, Rudzicz F, Brudno M (2020)
Speaker attribution with voice profiles by graph-based semi-supervised learning,
INTERSPEECH.
[C84]Balagopalan A, Eyre B, Rudzicz F, Novikova J (2020)
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection,
INTERSPEECH.
[C83]Yeung AYS, Joshi S, Williams JJ, Rudzicz F (2020)
Sequential Explanations with Mental Model-Based Policies,
ICML 2020 Workshop on Human Interpretability in Machine Learning (WHI).
[C82]Li B, Xie JY, Rudzicz F (2020)
Representation Learning for Discovering Phonemic Tone Contours,
SIGMORPHON at ACL 2020.
[C81]Riad R, Bachoud-Lévi, Rudzicz F, Dupoux E (2020)
Identification of primary and collateral tracks in stuttered speech,
LREC.
[C80]Wang J, Xiao X, Wu J, Ramamurthy R, Rudzicz F, Brudno M (2020)
Speaker diarization with session-level speaker embedding refinement using graph neural networks,
ICASSP2020.
[C79]Rudzicz F, Ng R, Wu R, Carenini G, Ho K, Abdalla M (2020)
Natural Language Processing with Wearables in Healthcare: Opportunities, challenges, and considerations,
eTELEMED 2020, March.
Best paper award
[C78]Jeblee S, Khattak FK, Crampton N, Mamdani M, Rudzicz F (2019)
Extracting relevant information from physician-patient dialogues for automated clinical note taking,
LOUHI 2019: The Tenth International Workshop on Health Text Mining and Information Analysis, November.
[C77]Liaqat D, Abdalla M, Abed-Esfahani P, Gabel M, Son T, Wu R, Gershon A, Rudzicz F, De Lara E (2019)
WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches,
ACM conference on Interactive, Mobile, Wearable and Ubiquitous Technologies 3(2), June.
[C76]Budhkar A, Vishnubhotla K, Hossain S, Rudzicz F (2019)
Generative Adversarial Networks for text using word2vec intermediaries,
The 4th Workshop on Representation Learning for NLP (RepL4NLP) at ACL 2019.
[C75]Fraser KC, Zeller F, Harris-Smith D, Mohammad S, Rudzicz F (2019)
How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT's destruction,
The 10th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2019).
[C74]Khattak FK, Pou-Prom C, Wu R, Rudzicz F (2019)
Predicting ICU transfers using text messages between nurses and doctors,
ClinicalNLP 2019.
[C73]Khattak FK, Jeblee S, Crampton N, Mamdani M, Rudzicz F (2019)
AutoScribe: Extracting clinically pertinent information from patient-clinician dialogues,
MedInfo.
[C72]Zhu Z, Novikova J, Rudzicz F (2019)
Detecting cognitive impairments by agreeing on interpretations of linguistic features,
NAACL.
[C71]Fraser KC, Linz N, Li B, Fors KL, Rudzicz F, Konig A, Alexandersson J, Robert P, Kokkinakis D (2019)
Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling,
NAACL.
[C70]Li B, Hsu Y-T, Rudzicz F (2019)
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus,
NAACL.
[C69]Budhkar A, Rudzicz F (2019)
Augmenting word2vec with latent Dirichlet allocation within a clinical application,
NAACL.
[C68]Wang J, Wang KC, Law MT, Rudzicz F, Brudno M (2019)
Centroid-based deep metric learning for speaker recognition,
ICASSP.
[C67]Rudzicz F, Paprica PA, Janczarski M (2019)
Towards international standards for evaluating machine learning,
SafeAI at AAAI19.
[C66] Jeblee S, Budhkar A, Milic S, Pinto J, Pou-Prom C, Vishnubhotla K, Hirst G, Rudzicz F (2018)
Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks,
CLEF 2018 eHealth Task 1.
[C65]Zhu Z, Novikova J, Rudzicz F (2018)
Semi-supervised classification by reaching consensus among modalities,
IRASL at NeurIPS.
[C64]Balagopalan A, Novikova J, Rudzicz F, Ghassemi M (2018)
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech,
ML4H at NeurIPS.
[C63] Hsu Y-T, Zhu Z, Wang C-T, Fang S-H, Rudzicz F, Tsao Y (2018)
Robustness against the channel effect in pathological voice detection,
ML4H at NeurIPS.
[C62] Pou-Prom C, Rudzicz F (2018)
Learning multiview embeddings for assessing dementia,
EMNLP 2018.
[C61] Clarkson P, Ponn J, Richardson G, Rudzicz F, Tsang A, Wang J (2018)
A Textual Analysis of U.S. Corporate Social Responsibility Reports,
2018 Canadian Academic Accounting Association (CAAA) Annual Conference.
[C60] Wambua M, Raimondo S, Boger J, Polgar J, Chinaei H, Rudzicz F (2018)
Interactive Search through Iterative Refinement,
2nd International Workshop on Conversational Approaches to Information Retrieval (CAIR'18) at SIGIR 2018, 12 July, Ann Arbor Michigan, USA
[C59] Liaqat D, Wu R, Gershon A, Alshaer H, Rudzicz F, de Lara E (2018)
Challenges with Real-World Smartwatch based Audio Monitoring,
WearSys’18: 4th ACM Workshop on wearable systems and applications, June 10, 2018, Munich, Germany.
[C58] Liaqat D, Wu R, Gershon A, Alshaer H, Rudzicz F, de Lara E (2018)
Speech in Smartwatch based Audio,
MobiSys ’18: The 16th Annual International Conference on Mobile Systems, Applications, and Services, June 10–15, 2018, Munich, Germany.
[C57] Ladly MJ, Bakker T, Chadha K, Farrelly G, Micak K, Penn G, Rudzicz F (2018)
Reality Recalled: Elders, Memory and VR,
Proceedings of the 2018 IEEE International Conference on Virtual Systems and Multimedia (VSMM).
[C56]Axtell RB, Munteanu C, Epp CD, Rudzicz F, Aly Y (2018)
Touch-Supported Voice Recording to Facilitate Forced Alignment of Text and Speech in an E-Reading Interface,
Proceedings of the 2018 ACM International Conference on Intelligent User Interfaces.
[C55]Noorian Z, Pou-Prom C, Rudzicz F (2017)
On the importance of normative data in speech-based assessment,
ML4H, Machine Learning for Health Workshop at NIPS 2017.
[C54]Shen JH, Rudzicz F (2017)
Detecting Anxiety through Reddit,
Proceedings of CLPsych at ACL2017.
[C53]Cernak M, Noeth E, Rudzicz F, Christensen H, Orozco-Arroyave JR, Arora R, Bocklet T, Chinaei H, Hannink J, Nidadavolu PS, Vasquez JC, Yancheva M, Vann A, Vogler N (2017)
On the impact of non-modal phonation on phonological features,
Proceedings of ICASSP 2017.
[C52]Vasquez-Correa JC, Orozco-Arroyave JR, Arora R, Noeth E, Dehak N, Christensen H, Rudzicz F, Bocklet T, Cernak M, Chinaei H, Hannick J, Nidadavolu PS, Yancheva M, Vann A, Vogler N (2017)
Multi-view representation learning via GCCA for multimodal analysis of Parkinson's disease,
Proceedings of ICASSP 2017.
[C51]Kim SW, Rudzicz F (2016)
Combining word prediction and r-ary Huffman coding for text entry,
Proceedings of the Seventh Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2016) at Interspeech 2016.
[C50] Green P, Marxer R, Cunningham S, Christensen H, Rudzicz F, Yancheva M, Coy A, Malavasi M, Desideri L, Tamburini F (2016)
CloudCAST - Remote speech technology for speech professionals,
Proceedings of Interspeech 2016.
[C49]Zhou L, Fraser K, Rudzicz F (2016)
Speech recognition in Alzheimer's disease and in its assessment,
Proceedings of Interspeech 2016.
[C48]Yancheva M, Rudzicz F (2016)
Vector-space topic models for detecting Alzheimer's disease,
Proceedings of the annual meeting of the Association for Computational Linguistics (ACL16).
[C47]Shokrollahi M, Saha S, Mohammadabadi PH, Rudzicz F, Yadollahi A (2016)
Snoring Sound Detection from Respiratory Signal,
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[C46]Fraser K, Rudzicz F, Hirst G (2016)
Detecting late-life depression in Alzheimer's disease through analysis of speech and language,
Proceedings of the Third Computational Linguistics and Clinical Psychology Workshop (CLPsych) at NAACL.
[C45]Green P, Marxer R, Cunningham S, Christensen H, Rudzicz F, Yancheva M, Coy A, Malavasi M, Desideri L (2015)
Remote speech technology for speech professionals - the CloudCAST initiative,
Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies at Interspeech 2015.
[C44]Oue S, Marxer R, Rudzicz F (2015)
Automatic dysfluency detection in dysarthric speech using deep belief networks,
Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies at Interspeech 2015.
[C43]Yancheva M, Fraser K, Rudzicz F (2015)
Using linguistic features longitudinally to predict clinical scores for Alzheimer's disease and related dementias,
Proceedings of the 6th Workshop on Speech and Language Processing for Assistive Technologies at Interspeech 2015.
[C42]Francois-Nienaber A, Meltzer JA, Rudzicz F (2015)
Lateralization in emotional speech perception following transcranial direct current stimulation,
Proceedings of Interspeech 2015.
[C41]Parisotto E, Ghassabeh YA, MacDonald MJ, Cozma A, Pang EW, Rudzicz F (2015)
Automatic identification of received language in MEG,
Proceedings of Interspeech 2015.
[C40]Zeller F, Harris Smith D, Duong JA, Alanna M, Bagheri E, Rudzicz F (2015)
Social media in human-robot-interaction,
Proceedings of the 2015 International Conference on Social Media & Society.
[C39]Frydenlund A, Rudzicz F (2015)
Emotional affect estimation using video and EEG data in deep neural networks,
Proceedings of Canadian AI 2015.
[C38]Parisotto E, Ghassabeh YA, Freydoonnejad S, Rudzicz F (2015)
EEG dimensionality reduction in automatic identification of synonymy,
In Proceedings of ICASSP 2015.
[C37]Zhao S, Rudzicz F (2015)
Classifying phonological categories in imagined and articulated speech,
Proceedings of ICASSP 2015. DATA
[C36]Zhao S, Rudzicz F (2014)
Combining different modalities in classifying phonological categories,
Proceedings of MLINI2014, NIPS workshop on machine learning and interpretation in neuroimaging, Montreal Canada.
[C35]Rudzicz F, Chan-Currie L, Danks A, Mehta T, Zhao S (2014)
Automatically identifying trouble-indicating speech behaviors in Alzheimer's disease,
Proceedings of ACM ASSETS, Rochester NY.
[C34]Rudzicz F, Wang R, Begum M, Mihailidis A (2014)
Speech recognition in Alzheimer's disease with personal assistive robots,
Proceedings of the Fifth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2014) at the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), 26 June, Baltimore USA.
[C33]Zhao S, Rudzicz F, Carvalho LG, Márquez-Chin C, Livingstone S (2014)
Automatic detection of expressed emotion in Parkinson's disease,
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP14), 4-9 May, Firenze Italy.
[C32]Alshaer H, Pandya A, Bradley TD, Rudzicz F (2014)
Subject independent identification of breath sounds components using multiple classifiers,
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP14), 4--9 May, Firenze Italy.
[C31]Fraser K, Rudzicz F, Rochon E (2013)
Using text and acoustic features to diagnose progressive aphasia and its subtypes,
Proceedings of Interspeech 2013, pp. 2177-2181, 25-29 August, Lyon France.
ISCA Best Student Paper award
[C30]Fraser K, Rudzicz F, Graham N, Rochon E (2013)
Automatic speech recognition in the diagnosis of primary progressive aphasia,
Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2013), 21-22 August, Grenoble France.
[C29]Yancheva M, Rudzicz F (2013)
Automatic detection of deception in child-produced speech using syntactic complexity features,
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), 4-9 August, Sofia Bulgaria.
[C28]Yadollahi A, Rudzicz F, Montazeri A, Bradley TD (2013)
Variations in respiratory sounds in relation to fluid accumulation in the upper airways,
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3-7 July, Osaka Japan.
[C27]Alshaer H, Rudzicz F, Falk TH, Tseng W-H, Bradley TD (2013)
Classification of vibratory patterns of the upper airway during sleep,
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3-7 July, Osaka Japan.
[C26]Neufeld C, Craioveanu R, Rudzicz F, Wong W, Van Lieshout P (2012)
Perceptually induced speech motor representations,
Proceedings of the International Symposium on Imitation and Convergence in Speech, 3-5 September, Aix-en-Provence France.
[C25]Wang J, Samal A, Green JR, Rudzicz F (2012)
Whole-word recognition from articulatory movements for silent speech interfaces,
Proceedings of Interspeech 2012, September 9-13, Portland Oregon.
[C24]Rudzicz F, Wilson R, Mihailidis A, Rochon E, Leonard C (2012)
Communication strategies for a computerized caregiver for individuals with Alzheimer's disease,
Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2012) at the 13th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2012), 8 June, Montreal Canada.
[C23]Wang J, Samal A, Green JR, Rudzicz F (2012)
Sentence recognition from articulatory movements for silent speech interfaces,
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP12), March 25-30, Kyoto, Japan.
[C22]Mengistu K, Rudzicz F, Falk T (2011)
Using acoustic measures to predict automatic speech recognition performance for dysarthric speakers,
Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications at INTERSPEECH 2011, August, Firenze Italy.
[C21] Rudzicz F (2011)
Acoustic transformations to improve the intelligibility of dysarthric speech,
Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies (SLPAT2011) at the ACL Conference on Empirical Methods in Natural Language Processing (EMNLP2011), 30 July, Edinburgh Scotland.
[C20] Namasivayam AK, Van Lieshout P, Kroll R, Le J, Rudzicz F (2011)
Voice onset self-monitoring and evaluation skills in persons who stutter,
Proceedings of the 2011 International Speech Production Seminar (ISSP11), June 20-23, Montreal Canada.
[C19] Mengistu KT, Rudzicz F (2011)
Comparing humans and automatic speech recognition systems in recognizing dysarthric speech,
Proceedings of the Canadian Conference on Artificial Intelligence, May 25-27, St. John's Canada.
[C18] Mengistu KT, Rudzicz F (2011)
Adapting acoustic and lexical models to dysarthric speech,
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP11), May 22--27, Prague, Czech Republic.
[C17] Rudzicz F (2010)
Learning mixed acoustic/articulatory models for disabled speech,
Proceedings of the Workshop on Machine Learning for Assistive Technologies at the twenty-fourth annual conference on Neural Information Processing Systems (NIPS 2010), pages 70-78, December, Whistler, British Columbia.
[C16] Reimer M, Rudzicz F (2010)
Identifying articulatory goals from kinematic data using principal differential analysis,
Proceedings of Interspeech 2010, pages 1608-1611, September 26-30, Makuhari Japan.
[C15] Rudzicz F (2010)
Correcting errors in speech recognition with articulatory dynamics,
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), pages 60--68, July 11-16, Uppsala Sweden.
[C14] Rudzicz F (2010)
Towards a noisy-channel model of dysarthria in speech recognition,
Proceedings of the First Workshop on Speech and Language Processing for Assistive Technologies (SLPAT) at the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2010), June 2-6, Los Angeles California, pages 80-88.
[C13] Rudzicz F (2010)
Adaptive kernel canonical correlation analysis for estimation of task dynamics from acoustics,
Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'10), March 14-19, Dallas, Texas.
[C12]Zhu X, Penn G, Rudzicz F (2009)
Summarizing multiple spoken documents: finding evidence from untranscribed audio,
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, August 2009, pp. 549-557, Suntec, Singapore.
[C11]Rudzicz F (2009)
Applying discretized articulatory knowledge to dysarthric speech,
Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'09), April 19-24, Taipei, Taiwan.
[C10]Rudzicz F (2009)
Phonological features in discriminative classification of dysarthric speech,
Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'09), April 19-24, Taipei, Taiwan.
[C9]Rudzicz F, Van Lieshout P, Hirst G, Penn G, Shein F, Wolff T (2008)
Towards a Comparative Database of Dysarthric Articulation,
Proceedings of the International Speech Production Seminar (ISSP08), December 8-12, Strasbourg France.
[C8] Kazemian S, Rudzicz F, Penn G, Munteanu C (2008)
A critical assessment of spoken utterance retrieval through approximate lattice representations,
Proceedings of the ACM International Conference on Multimedia Information Retrieval (MIR2008), October 30-31, Vancouver Canada.
[C7]Rudzicz F (2007)
Comparing speaker-dependent and speaker-adaptive acoustic models for recognizing dysarthric speech,
Proceedings of Ninth International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '07), October 15-17 2007, Tempe USA.
[C6]Rudzicz F (2006)
Clavius: Bi-directional parsing for generic multimodal interaction,
Proceedings of COLING-ACL 2006, July 17-21 2006, Sydney Australia.
[C5] Rudzicz F (2006)
Put a grammar here: Bi-directional parsing in multimodal interaction,
Proceedings of the CHI 2006 Extended Abstracts, Montréal, Québec.
[C4] Boussemart Y, Rioux F, Rudzicz F, Wozniewski M, Cooperstock J (2004)
A framework for 3D visualisation and manipulation in an immersive space using an untethered bimanual gestural interface,
Proceedings of the ACM Symposium on Virtual Reality Software and Technology, Hong Kong.
[C3] Rioux F, Rudzicz F, Wozniewski M (2004)
Palettes transparentes hybrides appliquées aux environnements immersifs,
Proceedings of the 16th Conférence Francophone sur l'Interaction Homme-Machine, Namur, Belgium.
[C2] Rioux F, Rudzicz F, Wozniewski M (2004)
The Modellers' Apprentice - The toolglass metaphor in an immersive environment,
Proceedings of the 18th British HCI Group Annual Conference, Leeds, UK.
[C1]Bergler S, Witte R, Khalife M, Li Z, Rudzicz F (2003)
Using knowledge-poor coreference resolution for text summarization,
Proceedings of HLT-NAACL 2003 Text Summarization Workshop (DUC 03), Edmonton AB, Canada.

Theses, Technical Reports, Preprints, and Abstracts (selected)

  1. Zhu Z, Balagopalan A, Ghassemi M, Rudzicz F (2021)
    Quantifying the Task-Specific Information in Text-Based Classifications,
    arXiv:2110.06961
  2. Frydenlund A, Singh G, Rudzicz F (2021)
    Language Modelling via Learning to Rank,
    arXiv:2110.06961
  3. Zhu Z, Li B, Xu Y, Rudzicz F (2021)
    What do writing features tell us about AI papers?,
    arXiv:2107.06310
  4. Berlot-Attwell I, Rudzicz F (2021)
    On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems,
    arXiv:2104.06335
  5. Riachi E, Mamdani M, Fralick M, Rudzicz F (2021)
    Challenges for Reinforcement Learning in Healthcare,
    arXiv:2103:05612
  6. Fakhraei R, Kaneswaran L, Rudzicz F, Gershon A, Wu R (2021)
    A Machine Learning Approach to Chronic Obstructive Pulmonary Disease Exacerbation Identification and Readmission Risk Quantification,
    Society of General Internal Medicine Annual Meeting.
  7. Yeung AYS, Roewer-Despres F, Rosella L, Rudzicz F (2021)
    Machine Learning Forecast of Growth in COVID-19 Confirmed Infection Cases with Non-Pharmaceutical Interventions and Cultural Dimensions: Algorithm Development and Validation,
    medRxiv preprint.
  8. Zhu Z, Xu Y, Rudzicz F (2020)
    Semantic coordinates analysis reveals language changes in the AI field,
    arxiv.org preprint.
  9. Royal College of Physicians and Surgeons of Canada (2020)
    Task Force Report on Artificial Intelligence and Emerging Digital Technologies,
    Health Systems and Policy report.
  10. Liaqat D, Wu R, Liaqat S, de Lara E, Gershon A, Rudzicz F (2020)
    The Ground Truth Trade-Off in Wearable Sensing Studies,
    arXiv:2001.09738.
  11. Parsapoor M, Lee M, Gabilondo C, Rudzicz F (2020)
    Using ML to Evaluate Disorganized Speech in Schizophrenia,
    2020 Congress of the Schizophrenia International Research Society.
  12. Budhkar A, Vishnubhotla K, Hossain S, Rudzicz F (2019)
    Generative Adversarial Networks for text using word2vec intermediaries,
    arxiv.org preprint.
  13. Li Y, Hossain S, Jamali K, Rudzicz F (2018)
    DeepConsensus: using the consensus of features from multiple layers to attain robust image classification,
    arxiv.org preprint.
  14. Hossain S, Jamali K, Li Y, Rudzicz F (2018)
    ChainGAN: A sequential approach to GANs,
    arxiv.org preprint.
  15. Zhu Z, Novikova J, Rudzicz F (2018)
    Detecting cognitive impairments by agreeing on interpretations of linguistic features,
    arxiv.org preprint.
  16. Budhkar A, Rudzicz F (2018)
    Augmenting word2vec with latent Dirichlet allocation within a clinical application,
    arxiv.org preprint. Published as [C69]
  17. Li B, Zhang R, Rudzicz F (2018)
    Dropout during inference as a model for neurological degeneration in an image captioning network,
    arxiv.org preprint.
  18. Zhu Z, Novikova J, Rudzicz F (2018)
    Isolating effects of age with fair representation learning when assessing dementia,
    arxiv.org preprint.
  19. Demers L, Fast J, Mortenson WB, Routhier F, Auger C, Ahmed S, Boger J, Rudzicz F, Plante M, Eales J, Pysklywec A (2018)
    Developing innovative interdisciplinary technological solutions for caregivers of older adults within Canada's technology and aging network,
    12th ISPRM World Congress, Paris France
  20. Chauhan P, Boger J, Hussein T, Moon S, Rudzicz F Polgar J (2018)
    Creating the CARE-RATE interface through multi-modal participatory design with caregivers of people with dementia,
    11th World Conference of the International Society for Gerontechnology (ISG2018), May 7-11, St. Petersburg, FL.
  21. Hussein T, Boger J, Rudzicz F (2018)
    The Impact of Design on Feelings of Trust of Online Information for Family Caregivers of People with Dementia,
    British Computer Society 32nd Human Computer Interaction Conference (BHCI-2018). 2-6 July, Belfast, UK.
  22. Gordon L, Rudzicz F, Grantcharov T (2018)
    Finding Patterns of Events in Laparoscopic Roux-en-Y Gastric Bypass with Machine Learning Techniques,
    Scientific Forum program at the American College of Surgeons.
  23. Wu R, Liaqat D, de Lara E, Son T, Rudzicz F, Alshaer H, Abed P, Gershon A (2018)
    Feasibility Of Using Android Smartwatches For Nearly Continuous Monitoring Of Patients With COPD,
    Proceedings of the American Thoracic Society.
  24. Liaqat D, Wu R, Son T, Gershon A, Alshaer H, de Lara E, Rudzicz F (2018)
    Towards Ambulatory Cough Monitoring using Smartwatches,
    Proceedings of the American Thoracic Society.
  25. Konig A, Rudzicz F, Fraser KC, Kaufman L, Alexandersson J, Linz N, Troger J, Wolters M, Bremond F, Robert P (2017)
    Early Detection of Cognitive Disorders Such As Dementia on the Basis of Speech Analysis - a Cross-Linguistic Comparison of Speech Features,
    Proceedings of AAIC2017.
  26. Korcovelos EA, Fraser KC, Meltzer J, Hirst, G, Rudzicz F (2017)
    Studying neurodegeneration with automated linguistic analysis of speech data,
    Proceedings of AAIC2017.
  27. Rudzicz F, Raimondo S, Pou-Prom C (2017)
    Ludwig: A conversational robot for people with Alzheimer's,
    Proceedings of AAIC2017.
  28. Boger J, Rudzicz F, Chinaei H, Jónasdóttir K, Wambua, M, Polgar J (2017)
    CARE-RATE: Initial development of an artificially intelligent online tool for connecting caregivers to relevant support,
    Proceedings of RESNA2017.
  29. Rudzicz F, Polgar J (2016)
    An online resource for caregivers of persons with dementia,
    Gerontechnology (ISG2016).
  30. Raimondo S, Rudzicz F (2016)
    Sex, drugs, and violence,
    arxiv.org preprint.
  31. Rudzicz F (2016)
    Speech interaction with personal assistive robots in the home for people with Alzheimer's disease,
    Proceedings of the 45th Annual Scientific and Educational Meeting of the CAG.
  32. Multani M, Rudzicz F, Tartaglia MC (2016)
    Is the progression of neuropsychiatric symptoms similar in early-onset and late-onset Alzheimer's disease?,
    Proceedings of AAIC2016.
  33. Wong S, Chinaei H, Rudzicz F (2016)
    Predicting health inspection results from online restaurant reviews,
    arXiv.org preprint.
  34. Shokrollahi M, Rudzicz F, Yadollahi A (2016)
    Sex specific variations in tracheal sound features due to fluid retention in the neck,
    Proceedings of the American Thoracic Society, May 2016, San Francisco.
  35. Chinaei H, Rais-Ghasem M, Rudzicz F (2015)
    Learning measures of semi-additive behaviour,
    arXiv.org preprint.
  36. Ladly M, Rudzicz F, Wright L, Ludlow, BA, Jofre A, Chen C, Chadha K (2015)
    Postcard Memories: Analysis of preliminary usability studies of a mobile postcard application geared towards older adults with early stage dementia of the Alzheimer's type,
    Proceedings of Qualitatives 2015.
  37. Pukonen M, Namasivayam AK, Goshulak D, Rudzicz F, Maassen B, Van Lieshout PHHM (2013)
    An Evidence Based Care Pathway for Preschool Children with Motor Speech Disorders,
    Seminar at the American Speech-Language-Hearing Association Convention, Chicago, USA (November 14-16).
  38. Namasivayam AK, Kroll R, Pukonen M, Goshulak D, Van Lieshout P, Maassen B, Rietveld T, Rudzicz F (2013)
    Motor Speech Research Study,
    Excellence in Applied Research award from the National Speech-Language & Audiology Canada - National.
  39. Ben-David BM, Multani N, Durham NA-M, Rudzicz F, Van Lieshout, P (2011)
    T-RES: test of rating of emotions in speech: interaction of affective cues expressed in lexical content and prosody of spoken sentences,
    Proceedings of the 27th Annual Meeting of the International Society for Psychophysics (Fechner Day 2011), pp. 391-396.
  40. Rudzicz F (2011)
    Production knowledge in the recognition of dysarthric speech,
    Doctor of Philosophy, University of Toronto.
  41. Rudzicz F (2006)
    CLAVIUS: Understanding language understanding in multimodal interaction,
    Master's of Engineering Thesis, McGill University.
  42. Rudzicz F (2004)
    Discriminative Training of Language Models in the CMU Sphinx Framework: Experiments and Analysis,
    Technical report for ECSE-523, Department of Electrical and Computer Engineering, McGill University.
  43. Rudzicz F (2003)
    ALICE: A Line-based Coordinate Estimator: Towards a More Robust Soccer Robot,
    Technical report for ECSE-494, Department of Electrical and Computer Engineering, McGill University.
  44. Rudzicz F (2003)
    Experiments and analysis in cross-document NP-coreference,
    Honours Thesis, Concordia University.
  45. Rudzicz F (2003)
    Cross-document NP coreference: Shallow syntactic heuristics vs. probabilistic networks,
    Technical Report, CLaC Labs.
  46. Rudzicz F (2003)
    Fuzzy pronominal coreference: Two approaches,
    Technical Report, CLaC Labs.
  47. Rudzicz F (2002)
    Towards reliable intra-text NP-Coreference in ERS: A practical implementation of a rule-based approach,
    Technical report for NSERC USRA.

Databases

  • Talk2Me: Automated linguistic data collection for personal assessment. 137 participants, 9.6 GB.
  • Kara One: Multimodal database of imagined and articulated speech recorded with electroencephalography (EEG), video face tracking, and speech acoustics during phonologically-relevant language tasks. 14 participants, 24 GB.
  • TORGO: Acoustic-articulatory database of people with and without dysarthria caused by cerebral palsy. Articulatory data from AG500 electromagnetic articulography. (LDC). 8 participants with dysarthria, 7 without, 18 GB.

Patents

  • System and method for acoustic transformation - US 2014/0195227 (78053/00002), WO 2013/013319 (PCT CA2012/050502) - initial submission 25 July 2011.
  • Acoustic neck fluid volume assessment system and method - PCT CA2014/050627 - initial submission 2 July 2014.
  • Acoustic system and method for performing pharyngeal and/or airway assessments - US62/020,010 - initial submission 2 July 2014.

// Education

Ph.D - Computer Science, University of Toronto - 2011
Advisor: Graeme Hirst
  • Thesis : Production knowledge in the recognition of dysarthric speech
M.Eng - Electrical & Computer Engineering, McGill University - 2006
Advisor: Jeremy Cooperstock
  • Honours Thesis : CLAVIUS: Understanding Language Understanding in Multimodal Interaction
  • Commendations : 4.0/4.0 GPA
  • Member : Centre for Intelligent Machines
B.Sc - Computer Science, Concordia University - 2003
Advisor: Sabine Bergler
  • Minor : Mathematics and Statistics
  • Honours Thesis : Experiments and Analysis in Cross-Document NP-Coreference
  • Commendations : Graduated with Honours, Great Distinction
  • Member : Institute for Cooperative Education

// Past professional history

Director of AI - Surgical Safety Technologies Inc
Toronto ON, Canada - Oct 2018 - Sept 2022
Scientist - University Health Network (TRI)
Toronto ON, Canada - Sept 2012-Oct 2018
Assistant professor (status) - Department of Computer Science, University of Toronto
Toronto ON, Canada - Sept 2012-Mar 2018
Visiting Scholar - Johns Hopkins University, Whiting School of Engineering
Baltimore MD, USA - Summer 2016
Founder and CEO - Thotra Incorporated
Toronto, ON - Sep 2011 - current
Research intern - Quillsoft Ltd., Bloorview Kids Rehab
Toronto, ON - Jan 2009 - Sep 2009
Research assistant - Centre for Intelligent Machines, McGill University
Montréal, QC - Jan 2004 - May 2006
Research assistant / Sys admin - CLaC Labs, Concordia University
Montréal, QC - Jan 2001 - Dec 2003
Speech science - Scansoft Inc.
Boston, USA - Summer 2003
Speech science - SpeechWorks Inc.
Montréal, QC - Jan 2001 - Aug 2001

Affiliations

  • Member, Association for Computational Linguistics (ACL).
  • Member, Association for the Advancement of Artificial Intelligence (AAAI).
  • Member, Institute of Electrical and Electronics Engineers (IEEE).
  • Member, International Speech Communication Association (ISCA).

// Teaching

  • CSC 401/2511 (Toronto) - Natural Language Computing - Instructor - Spring 2021
  • CSC 401/2511 (Toronto) - Natural Language Computing - Instructor - Spring 2020
  • CSC 401/2511 (Toronto) - Natural Language Computing - Instructor - Spring 2019
  • CSC 401/2511 (Toronto) - Natural Language Computing - Instructor - Spring 2018
  • C4M, Computing for Medicine (Toronto) - Natural language processing in clinical medicine - Seminar - Fall 2017
  • CSC 401/2511 (Toronto) - Natural Language Computing - Instructor - Spring 2017
  • C4M, Computing for Medicine (Toronto) - Natural language processing in clinical medicine - Seminar - Fall 2016
  • CSC 490/2600 (Toronto) - Artificial intelligence in clinical medicine - Instructor - Fall 2016
  • CSC 401/2511 (Toronto) - Natural Language Computing - Instructor - Spring 2016
  • CSC 485/2501 (Toronto) - Computational Linguistics - Instructor - Fall 2015
  • CSC 401/2511 (Toronto) - Natural Language Computing - Instructor - Spring 2015
  • CSC 2518 (Toronto) - Spoken Languge Processing - Instructor - Fall 2014
  • CSC 401/2511 (Toronto) - Natural Language Computing - Instructor - Spring 2014
  • CSC 401/2511 (Toronto) - Natural Language Computing - Instructor - Spring 2013
  • CSC 401/2511 (Toronto) - Natural Language Computing - Instructor - Spring 2012
  • CSC 401/2511 (Toronto) - Natural Language Computing - Instructor - Spring 2011
  • CSC 108 (Toronto) - Introduction to Computer Programming - TA - Summer 2010
  • CSC 401 (Toronto) - Natural Language Computing - TA - Spring 2010
  • CSC 401/2511 (Toronto) - Natural Language Computing - TA - Spring 2009
  • CSC 108 (Toronto) - Introduction to Computer Programming - TA - Fall 2008
  • CSC 190 (Toronto) - Computer Algorithms, Data Structures and Languages - TA - Winter 2007
  • ECSE 526 (McGill) - Artificial Intelligence - TA - Winter 2006
  • ECSE 424 (McGill) - Human Computer Interaction - TA - Winter 2006
  • COMP 472 (Concordia) - Artificial Intelligence - TA - Winter 2003
  • COMP 472 (Concordia) - Artificial Intelligence - TA - Fall 2002
  • COMP 472 (Concordia) - Artificial Intelligence - TA - Summer 2002
  • COMP 472 (Concordia) - Artificial Intelligence - TA - Winter 2002

// Supervision

Current

Graduate

  • Aparna Balagopalan - 2020-present - PhD (with Marzyeh Ghassemi)
  • Ian Berlot-Attwell - 2019-present - PhD
  • Jinyue Feng - 2021-present - PhD
  • Arvid Frydenlund - 2013-present - PhD (with Rich Zemel)
  • Shuja Khalid - 2019-present - PhD (with Babak Taati)
  • Amanjit Kainth - 2018-present - MSc->PhD
  • Hillary Lia - 2021-present - MD/PhD
  • Francois Roewer-Despres - 2018-present - MSc
  • Raeid Saqur - 2019-present - PhD
  • Marina Tawfik - 2018-present - PhD
  • Xindi Wang - 2020-present - PhD (with Bob Mercer, Western University)
  • Zining Zhu - 2019-present - PhD
  • John Giorgi - 2020-present - PhD student (committee member, Gary Bader and Bo Wang: co-advisors
  • Lauren Gordon - 2018-present - PhD student (committee member, Teodor Grantcharov: advisor)
  • Mustafa Haiderbhai - 2021-present - PhD student (committee member, Sven Dickinson: advisor)
  • Frank Niu - 2021-present - PhD student (committee member, Gerald Penn: advisor
  • Sean Robertson - 2017-present - PhD student (committee member, Gerald Penn: advisor)
  • Jade Yu - 2022-present - PhD student (committee member, Yang Xu: advisor)

Undergraduate

  • Rohan Deepak Ajwani - 2022 - research intern
  • Philipp Eibl - 2022 - course project
  • Sophie Nam - 2022 - course project

Alumni

Postdoctoral

  • Muhammad Raisul Alam - 2019-2021 - postdoctoral fellow (co-advised with Alex Mihailidis
  • Jana Besser - 2013-2014 - postdoctoral fellow / research associate; moved on to Phonak.
  • Jennifer Boger - 2016 - postdoctoral fellow; moved on to faculty position at the University of Waterloo
  • Hamidreza Chinaei - 2014-2017 - postdoctoral fellow
  • Peng Dai - 2014 - postdoctoral fellow (primary advisor, Alex Mihailidis: co-advisor); moved on to the University of Western Ontario.
  • Youness Aliyari Ghassabeh - 2014-2015 - postdoctoral fellow; moved on to Bank of Montreal
  • Serena Jeblee - 2020-2021 - postdoctoral fellow
  • Shalmali Joshi - 2018-2020 - postdoctoral fellow (co-advised with Vector)
  • Faiza K Khattak - 2018-2019 - postdoctoral fellow; moved on to Manulife
  • Majid Komeili - 2017-2018 - postdoctoral fellow; moved on to faculty position at Carleton University
  • Daniyal Liaqat - 2020-2022 - postdoctoral fellow
  • Steven Livingstone - 2014-2015 - postdoctoral fellow; moved on to McMaster University, then faculty position at University of Wisconsin.
  • Ricard Marxer - 2015 - postdoctoral fellow (co-advisor with Phil Green, University of Sheffield)
  • Zeinab Noorian - 2017 - postdoctoral fellow
  • Mahboobeh Parsapoor - 2019-2020 - Michael J Fox/Weston postdoctoral fellow
  • Farook Sattar - 2014 - affiliate scientist
  • Soroosh Shahtalebi - 2021-2022 - postdoctoral fellow
  • Mehrnaz Shokrollahi - 2015-2016 - Mitacs postdoctoral fellow (primary advisor; Azadeh Yadollahi co-advisor)
  • Margot Yann - 2018-2019 - postdoctoral fellow (Thérèse Stukel: co-advisor)

Graduate

  • Mohamed Abdalla - 2016-2022 - MSc->PhD
  • Matt Arnold - 2017 - MScAC (with CaseWare)
  • Stephane Aroca-Ouellette - 2018-2020 - MSc
  • Manasa Bharadwaj - 2018 - MScAC (with ROSS)
  • Sourav Bhattacharjee - 2021 - MScAC (Layer6)
  • Cole Boudreau - 2017 - MScAC (with CaseWare)
  • Akshay Budhkar - 2017-2019 - MSc
  • Willie Chang - 2017 - MScAC (with Synervoz)
  • Colt Chapin - 2017 - MScAC (with ROSS)
  • John Chen - 2019-2021 - MSc
  • Tianyi Chen - 2018 - MScAC (with RSVP Technologies)
  • Eda Doko - 2016 - MASc (with Kira Systems)
  • Malikeh Ehghaghi - 2021 - MScAC (Winterlight Labs)
  • Abraham Escalante - 2016 - MASc (with Caseware)
  • Syed Rizwan Gilani - 2016 - MASc (with Amazon)
  • Scarlett Jia Guo - 2018 - MScAC (with Deloitte)
  • Craig Hagerman - 2014 - MScAC (with Wattpad)
  • Alexander Halliwushka - 2016 - MASc (with Ubisoft)
  • Lee Hao-Wei - 2017 - MScAC (with ROSS)
  • Safwan Hossain - 2018-2019 - MSc (with Nisarg Shah)
  • Mete Kemertas - 2017 - MScAC (with Tealbook)
  • Demetres Kostas - 2016-2022 - MSc->PhD
  • Rafael Lacerda - 2017 - MScAC (with ROSS)
  • Thomas LaMantia - 2016 - MScAC (with Caseware)
  • Nicole Langballe - 2018 - MScAC (with ROSS)
  • Bai Li - 2017-2022 - MSc->PhD
  • Yuchen Li - 2019-2021 - MSc
  • Daniyal Liaqat - 2016-2020 - PhD (with Eyal de Lara)
  • Guanxiong Liu - 2021 - MScAC (Samsung)
  • Antonia Mouawad - 2018 - MScAC (with ROSS)
  • Sayyed Nezhadi - 2018-2022 - PhD (with Sanja Fidler)
  • Hillary Ngai - 2020-2022 - MSc
  • Yomna Omar - 2018 - MScAC (with Caseware)
  • Kyle Alexander Oppenheimer - 2021 - MScAC (Microsoft)
  • Yoona Park - 2020-2022 - MSc
  • Chloe Pou-Prom - 2016-2018 - MSc
  • Stefania Raimondo - 2015-2018 - MSc student
  • Elsa Riachi - 2018-2020 - MSc
  • Simon Rojas - 2018 - MScAC (with ROSS)
  • Raeid Saqur - 2018 - MScAC (with Creative Destruction Labs)
  • Simrandeep Singh - 2017 - MScAC (with ScotiaBank)
  • Siddhartha Thota - 2018 - MScAC (with ROSS)
  • Rachel Twiss - 2015 - MASc student
  • Muuo Wambua - 2016-2018 - MSc (with Graeme Hirst)
  • Maria Yancheva - 2014-2016 - MSc student
  • Jixuan Wang - 2017-2021 - PhD (with Michael Brudno)
  • Liu Yang - 2016 - MASc (with Meta)
  • Arnold Yeung - 2018-2020 - MSc
  • Shunan Zhao - 2013-2015 - MSc student
  • Kathleen Fraser - 2013-2016 - PhD student (committee member, Graeme Hirst and Jed Meltzer: co-advisors)
  • Navdeep Jaitly - 2013-2014 - PhD student (committee member, Geoff Hinton: Advisor); moved on to Google.
  • Yunpeng Li - 2016 - MI student (2nd reader; advisor: Kelly Lyons)
  • Shilo McBurney - 2018-2022 - PhD student (committee member, Natasha Crowcroft: advisor
  • Christopher Meaney - 2018-2020 - PhD student (committee member, Michael Escobar: advisor
  • Alborz Rezazadeh - 2015-2018 - PhD student (committee member, Tom Chau: advisor); moved on to Samsung AI
  • Jeanne Sinclair - 2018-2019 - PhD student (committee member, Eunice Jang: advisor)
  • Ryan Visee - 2018-2019 - MASc student (committee member, Jose Zariffa: advisor)
  • Kevin Yang - 2015-2016 - MHSc student (committee member, Teodor Grantcharov: advisor)

Undergraduate

  • Mohamed Abdalla - 2015 - undergraduate course project
  • Pedram Adibi - 2014 - summer course project
  • Daniyar Akhmedjanov - 2019-2020 - Engineering Science thesis
  • Ian Berlott-Attwell - 2018 - course project
  • Cristian Caloian - 2013 - undergraduate course project
  • Francisco Canas - 2015 - undergraduate course project
  • Leonardo Gonzaga Carvalho - 2013 - undergraduate intern
  • Viviane Catini - 2016 - Science Without Borders student
  • Alex Chen - 2013 - undergraduate summer student (co-supervised with Alex Mihailidis
  • John Chen - 2018 - summer undergrad
  • Oscar Chen - 2015 - NSERC USRA (co-advised with Sheila McIlraith)
  • Heung Ryeol Cho - 2019-2020 - Engineering Science thesis
  • Christopher Chu - 2018-2019 - undergraduate thesis
  • Marina Coimbra - 2013 - undergraduate intern
  • Leila Chan Currie - 2014 - undergraduate course project
  • Andrew Danks - 2013-2014 - undergraduate course project
  • Serdarcan Dilbaz - 2019 - Fulbright scholar undergrad
  • Kawin Ethayarajh - 2016-2017 - undergraduate course project, then undergraduate thesis
  • Benjamin Eyre - 2018, 2021 - summer undergrad, undergraduate course project
  • Syed Farooq - 2015-2016 - engineering science undergraduate thesis
  • Yuvrender Gill - 2020 - course project
  • Hengwei Guo - 2015 - UTRECS
  • Armand Gurgu - 2018 - course project
  • Austin Han - 2019 - course project
  • Wilson Huang - 2017-2018 - engineering science undergraduate thesis
  • Kevin Hugh - 2017 - undergraduate course project
  • Marco Istasy - 2020 - CSC494 project
  • Kiarash Jamali - 2018 - summer undergrad
  • Rui Janson - 2016-2017 - engineering science undergraduate thesis
  • Lydia Jeong - 2021 - undergraduate course project
  • Amanjit Kainth - 2017 - undergraduate course project
  • Seung-Wook Kim - 2015 - undergraduate course project
  • Ellen Korcovelos - 2016-2017 - Fulbright scholar (with Graeme Hirst)
  • Tanuj Kumar - 2019 - course project
  • Siamak Freydoonnejad - 2014 - undergraduate course project
  • Eigo Kawatani - 2012 - undergraduate course project (co-supervised with Gerald Penn)
  • Shayan Kousha - 2018-2019 - course projects
  • Gary Leung - 2019-2020 - Engineering Science thesis
  • Yuchen Li - 2018 - summer undergrad, RA
  • Hubert Lin - 2015 - NSERC USRA (co-advised with Sheila McIlraith)
  • Philip Lu - 2019-2020 - Engineering Science thesis
  • Yinqing Luo - 2019-2020 - Engineering Science thesis
  • Soumendu Majee - 2013 - Mitacs Globalink summer student
  • Tejas Mehta - 2013-2014 - undergraduate research, engineerign science undergraduate thesis
  • Marck Mercado - 2018 - summer med student
  • Shweta Mogalapalli - 2018 - course project
  • Stacy Nguyen - 2018 - summer med student
  • Tony Nguyen - 2020 - undergraduate course project
  • Chu Pan - 2019-2020 - Engineering Science thesis
  • Emilio Parisotto - 2014 - undergraduate course project
  • YueLan Qin - 2018 - summer undergrad
  • Stefania Raimondo - 2014-2015 - engineering science undergraduate thesis
  • Taryn Rohringer - 2018 - summer med student
  • Jan S. Rudy - 2013 - undergraduate summer student
  • Rafael Ruggi - 2014 - exchange student
  • Diego Santos - 2014 - exchange student
  • Judy Han Shen - 2016-2017 - engineering science undergraduate thesis (moved on to MIT)
  • Ealona Shmoel - 2015 - undergraduate course project
  • Minkang Suk - 2018-2019 - undergraduate thesis
  • Yixin Wang - 2014 - summer exchange student
  • Giorgia Willits - 2014 - summer exchange student (UC Berkeley)
  • Jing Yi Xie - 2019 - course project
  • Nuofan Xu - 2019-2020 - Engineering Science thesis
  • Maria Yancheva - 2012-2013 - engineering science undergraduate thesis
  • Seung Yang - 2019-2020 - Engineering Science thesis
  • Chen Ying - 2016 - Mitacs Globalink summer student
  • Zhi Huan Yu - 2019 - course project
  • Kejie Zhao - 2019-2020 - Engineering Science thesis
  • Jin Zhou - 2018 - course project
  • Luke Zhou - 2015 - NSERC USRA + two undergraduate course projects
  • Zining Zhu - 2018-2019 - undergraduate thesis

Research assistant

  • Jorge Andres Gomez Garcia - 2015-2016 - visiting scholar (PhD student at Technical University of Madrid)
  • Peyman Hadi - 2014-2015 - research assistant (co-advisor, with Azadeh Yadollahi)
  • Fiona Hobler - 2013-2014 - research assistant
  • Liam Kaufman - 2015-2016 - research associate
  • Theresa Ma - 2017 - summer RA
  • Aman Montazeri - 2012-2013 - research assistant
  • Selvana Morcos - 2014 - research assistant
  • Jordan Ponn - 2017 - RA
  • Rachid Riad - 2018 - visiting scholar
  • Angela Ning Ye - 2017 - summer RA
  • Hoda Zare - 2015 - research assistant

External examiner

  • Nabiha Asghar (Computer Science, University of Waterloo PhD, 2019)
  • Libby Barak (Computer Science PhD, 2016)
  • Amanda Chou (Mechanical and Industrial Engineering MASc, 2015)
  • Vanessa Wei Feng (Computer Science PhD, 2014)
  • Helia Mohammadi (Electrical and Computer Engineering PhD, 2014)
  • Abdel-Rahman Mohammed (Computer Science PhD, 2014)
  • Jingcheng Niu (Computer Science MSc, 2020)
  • Gandharv Anil Patil (Engineering, McGill University MEng, 2019
  • Mansoor Pevaiz - 2016-present - PhD (committee, Rupal Patel: advisor (Northeastern University))
  • Anis Sharafoddini (Applied Health Sciences, University of Waterloo PhD, 2019)
  • Gagandeep Singh (Computer Science MSc, 2018)
  • Tong Wang (Computer Science PhD, 2016)

// Invited talks and panels (selected)

  • Invited speaker, Say 'ah': Speech and language in medicine, UofT AI Conference - Toronto Ontario, 19 February 2022
  • Panelist, Unconventional pathways in Science and Medicine, University of Ottawa Healthcare Symposium - Ottawa Ontario (ostensibly), 29 January 2022
  • Keynote, Say 'ah': Speech and language in medicine, NeuroSphere Healthy Brains Healthy Lives - Montréal Québec (ostensibly), 26 January 2022
  • Keynote, The Allegory of the OR: Interpreting automated analysis, Surgical Safety Network 7th annual meeting - Palm Beach Florida (ostensibly), 8 January 2022
  • Panelist, 11th Annual Ori Rotstein Lecture in Translational Research, 2 November 2021
  • Invited talk, Say 'ah': Speech and language in medicine, Rotman Research Institute Rounds at Baycrest, 1 November 2021
  • Debater, Why did you do that? Will AI systems ultimately explain their decisions to us?, Robotics and AI symposium, hosted by Ingenuity Labs, Queen's University, 12 October 2021
  • Invited talk, The Allegory of the OR: Ethics and anaesthetics, Machine Learning in Healthcare, hosted by Toronto Machine Learning Society, Toronto Ontario, 21 July 2021
  • Panelist, Exploring the Roles of AI in Health Sciences Education, ostensibly Montréal Québec, 22 June 2021
  • Panelist, Fifth Workshop on Teaching NLP, NAACL-21, ostensibly Mexico City, Mexico, 11 June 2021
  • Plenary, The allegory of the OR: ethics, anaesthetics, and cybernetics, Canadian Healthcare Optimization Workshop (CHOW) at Canadian Operational Research Society (CORS), 7 June 2021
  • Keynote, Ask your doctor if NLP is right for you, 2nd Workshop on NLP for Medical Conversations (NLPMC) at NAACL2021, ostensibly Mexico City, Mexico, 6 June 2021
  • Panelist, Beyond Patents: Canada's Intellectual Property Puzzle, Innovation Economy Council, 3 June 2021
  • Invited talk and panel, Natural Language Processing, Deloitte AI Institute Canada, 6 May 2021
  • Invited talk, Natural Language Processing, Microsoft/UTMIST Discover AI Upskilling Journey, 3 May 2021
  • Invited talk, Machine Learning in the Operating Room, Future Gazing at Northwell Health, ostensibly New York USA, 18 March 2021
  • Invited talk, The allegory of the OR: ethics, anaesthetics, and cybernetics, Schwartz Reisman Seminar Series, 3 March 2021
  • Invited talk, AI and the ethical challenges, Innovation Centre Denmark, ostensibly Copenhagen Denmark and Silicon Valley USA, 11 February 2021
  • Panelist, Canadian Undergraduate Conference on Healthcare (CUCOH), ostensibly Kingston ON, 23 January 2021
  • Panelist, Decision Making in an Age of Uncertainty, Canadian Agency for Drugs and Technologies in Health (CADTH) Symposium, 10 November 2020
  • Invited talk, Machine Learning in the Operating Room, Canadian Conference for the Advancement of Surgical Education (C-CASE), ostensibly Montréal Québec, 29 October 2020
  • Invited talk and panels, Artificial Intelligence: Changing How We Practice Surgery: Natural Language Processing, Society of American Gastrointestinal and Endoscopic Surgeons (SAGES 2020), ostensibly Cleveland Ohio, 11 August 2020
  • Invited talk, Towards explainable AI in the OR, Medical Professional Liability Association CEO/COO meeting, Scottsdale Arizona, 12 March 2020
  • Keynote, Machine Learning In and Out of the OR, Harold and JoAnn Hoffman Lecture - 43rd Annual Meeting of the American Society of Pediatric Neurosurgeons, Nassau Bahamas, 27 January 2020
  • Invited talk, AI in healthcare and surgery, University Rounds - Ben Alman Research & Science Lecture, Toronto Canada, 10 January 2020
  • Keynote, Neural models of language, Manulife AI & Advanced Analytics Conference, Toronto Canada, 3 December 2019
  • Invited talk and panel, OR BlackBox AI: Safe Surgery with Safe AI, Ontario Medical Association, Physicians in the 21st Century, Toronto Canada, 22 November 2019
  • Invited talk, Language and machine learning as a lens into cognition, Machine Learning in Medicine Symposium, Toronto Canada, 21 November 2019
  • Invited talk, What we did last summer: Research at SPOClab, Huawei Annual NLP & Speech symposium, Montreal Canada, 15 November 2019
  • Invited talk and panel, Opening the black box with explainable AI, Techna 2019: Machine/Human Interfaces, Toronto Canada, 25 October 2019
  • Invited talk, Opening the black box with explainable AI, Samsung Medical Centre, Seoul Korea, 4 October 2019
  • Invited talk, Neural models of language, University of Toronto Scarborough Psychology Seminar Series, Scarborough Canada, 26 September 2019
  • Invited talk, Don't drink the Kool-Aid (just sip it), Taking Responsibility for Responsible AI, Munk School of Global Affairs and Public Policy, Toronto Canada, 26 August 2019
  • Invited talk, Interpretability, Humans in Loops, Policies and Politics, Forschungszentrum Jülich GmbH Institute for Neuroscience and Medicine - Jülich Germany, 25 July 2019
  • Invited talk, Explainable AI in healthcare, Element AI, Toronto Canada (telecast), 3 July 2019
  • Keynote, AI in Healthcare and Surgery, 74th annual meeting of the Canadian Urological Association - Québec City, Canada, 29 June 2019
  • Panel, AI from Innovation to Healthcare Markets:
 Barriers and Facilitators, Machine MD - Ottawa Canada, 1 Jun 2019
  • Invited lecture, Interpretability, humans in loops, policies and politics, Artificial Intelligence in Medicine Student Society - Toronto Canada, 27 Mar 2019
  • Invited speaker and panelist, Regulation and standards for AI in healthcare, CIHR-Health Canada Best Brains Exchange - Artificial Intelligence and Machine Learning in Medical Devices - Ottawa Canada, 22 Feb 2019
  • Invited lecture, Natural language processing in clinical systems, Smith School of Business at Queen's University - Toronto Canada, 19 Feb 2019
  • Invited talk, Machine learning in healthcare, Cancer Care Ontario Analytic Rounds - Toronto Canada, 5 Feb 2019
  • Keynote, AI in the OR, Surgical Safety Network 4th annual meeting - Palm Beach Florida, 5 Jan 2019
  • Invited speaker/panelist, The Future of AI in healthcare, Future of Work forum at Munk School of Global Affairs and Public Policy - Toronto ON, 6 Nov 2018
  • Invited debator, Will AI revolutionize suicide prevention?, Canadian Academy of Psychiatric Epidemiology - Toronto ON, 26 Sep 2018
  • Invited speaker, Inaugural University of Toronto and Tsinghua University Innovations & Entrepreneurship Forum AI Squared - The future of automated healthcare - Toronto ON, 4 May 2018
  • Invited presenter, Parliamentary Health Research Caucus on Artificial Intelligence and Machine Learning, and AGE-WELL Day on the Hill - Ottawa ON, 1-2 May 2018
  • Keynote, University of British Columbia, Text Analytics Workshop - Natural language processing in clinical systems - Vancouver BC, 28 April 2018
  • Invited talk, Thomson Reuters - Hurdles for machine learning in (clinical) dialogue systems - Toronto ON, 21 February 2018
  • Invited talk and panel, McGill University (Journal of Law and Health) - Changing the Face of Healthcare through Artificial Intelligence: Emerging Ethical and Legal Debates - Montreal QC, 3 February 2018
  • Invited talk, University of Toronto Centre for Ethics - The future of automated healthcare - Toronto ON, 30 January 2018
  • Invited talk, University of Gothenburg - How much care could a robot give if a robot could give care? - Gothenburg Sweden, 4 December 2017
  • Invited lecture, Ryerson University, Emerging Topics in Biomedical Engineering (Machine learning for health analytics) - Machine learning in clinical medicine - Toronto ON, 28 November 2017
  • Moderator and panelist, Toronto Public Library Cutting Edge event - The Robot Will See You Now: Artificial Intelligence in Medicine - Toronto ON, 21 November 2017 (and again 24 October 2018)
  • Invited talk, AGE-WELL webinar - Using technology and speech to track Alzheimer's - (telecast) Toronto ON, 14 November 2017
  • Invited talk + case challenge, 13h annual Canadian Undergraduate Conference on Healthcare (CUCOH) at Queen's University - Language as a lens into cognition in assessment software - Kingston ON, 11 November 2017
  • Research rounds, Rotman Research Rounds at Baycrest - Language as a lens into cognition in assessment software - Toronto ON, 30 October 2017
  • Invited talk, AGE-WELL AGM - How much care could a robot give if a robot could give care? - Winnipeg MB, 19 October 2017
  • Moderator, Singularity U Summit - Artificial Intelligence in Medicine - Toronto ON, 11 October 2017
  • Invited talk, Roundtable on AI and Health (w/ Helmholtz) - AI and Health: Opportunities in Research - Toronto ON, 25 September 2017
  • Seminar, The Vector Institute - Speech and Language in Healthcare Informatics - Toronto ON, 12 September 2017
  • Invited panelist - IAGG 2017 - Advances in Analytics: Voice recognition, predictive analytics, machine learning - San Francisco CA, 26 July 2017
  • 12th annual Andreae Alzheimer Lecture (the Alzheimer Society) - Invited speaker - Language as a lens into cognition in assessment software - Toronto ON, 19 June 2017
  • Invited talk, Carnegie Mellon University - Invited speaker - Speech and language in healthcare informatics - Pittsburgh PA, 17 February 2017
  • Big-Data and Health - Invited speaker - Language as a lens into cognition in diagnostic software - Tel Aviv, Israel, 24 January 2017
  • International Genetic Epidemiology Society (Big Data Phenotyping: Opportunities, Analytic Challenges, and Solutions) - Invited speaker - Machine learning in clinical medicine - Toronto Ontario, 24 October 2016
  • Applied Machine Learning seminar, Yelp - Invited speaker - Silicon friends for the golden years - San Francisco California, 12 September 2016
  • AGE-WELL/Computer Science joint panel - Moderator/panelist - The robot will see you now - the revolution of artificial intelligence in medicine - Toronto Ontario, 5 April 2016
  • Frontiers in Alzheimer's - Invited speaker - Using artificial intelligence and language to assess cognition - Toronto Ontario, 14 March 2016
  • Inaugural seminar, Data in Medicine series - Invited speaker - Machine learning in pathological speech - Toronto Ontario, 23 November 2015
  • Seminar, Johns Hopkins University - Invited speaker - Deep assessment of pathological speech - Baltimore Maryland, 13 November 2015
  • Seminar (postponed), CNRS Laboratoire de Sciences Cognitives et Psycholinguistique - Invited speaker - Silicon friends for the golden years - Paris France, 30 October 2015
  • ASSETS2015 conference, ACM SIGACCESS - Invited speaker - Speech interaction with personal assistive robots supporting aging-at-home for individuals with Alzheimer's disease - Lisbon Portugal, 28 October 2015
  • Seminar, Université de Laval - Invited speaker - Tongues, brains, Cinderella, and robots: Different ways to handle atypical speech - Québec QC, 13 August 2015
  • Seminar, Centre for Intelligent Machines, McGill University - Invited speaker - Tongues, brains, Cinderella, and robots: Different ways to handle atypical speech - Montreal QC, 11 August 2015
  • Annual NICE Knowledge Exchange 2015 - Panelist, Invited speaker - Silicon friends for the golden years - Toronto ON, 28 May 2015
  • Engineering Excellence program, Nuance - Invited speaker - The speaking brain and the listening brain: Classifying received and produced speech in electroencephalography - (telecast) Burlington MA, 19 May 2015
  • Seminar, Spoken Language Systems Group, Massachusetts Institute of Technology - Invited speaker - Tongues, brains, Cinderella, and robots: Different ways to handle atypical speech - Cambridge MA, 18 November 2014
  • Seminar, Interactive Media Lab, University of Toronto - Invited speaker - Tongues, brains, robots, and Cinderella: Different ways to assess atypical speech - Toronto ON, 2014
  • Fifth Workshop on Speech and Language Processing for Assistive Technologies - Completing the noisy circuit: Systems of feedback in models of dysarthria- Invited speaker - Baltimore USA, 2014
  • Panel on Transcendence and the upcoming AI singularity, University of Toronto - Moderator - Toronto ON, 2014
  • Rehab rounds, Graduate Department of Rehabilitation Sciences, University of Toronto - Invited Speaker - Toronto ON, 2013
  • Seminar series, Toyota Technological Institute at the University of Chicago - Invited speaker - Chicago IL, 2013
  • GRAND-NCE Health & Digital Media Workshop - Panelist - Toronto ON, 2013
  • World Social Science Forum - Recognizing and transforming atypical speech signals - Invited speaker/panelist - Montreal Canada, 2013
  • Workshop on Speech Production in Automatic Speech Recognition -
    Completing the noisy circuit: Systems of feedback in models of dysarthria - Invited speaker - Lyon France, 2013
  • Seminar series, University of Sheffield - Invited speaker - Sheffield UK, 2013
  • Exploring Computer Science Day - Invited speaker - Toronto ON, 2012, 2013(x2)
  • Artificial Intelligence seminar series, University of Waterloo - Invited speaker - First, we shape our tools: How to build a better speech recognizer - Waterloo ON, 2012
  • Computer Science seminar series, University of Concordia - Invited speaker - First, we shape our tools: How to build a better speech recognizer - Montreal QC, 2011
  • Bloorview Research Institute symposium - Invited speaker - Towards articulatory-based adaptation in recognition of dysarthric speech- Toronto ON, 2009

// Media coverage


//Awards

  • Best Student Paper award - CMCL at NAACL21 - 2021
  • Best Paper award - ClinicalNLP at EMNLP2020 - 2020
  • Best Paper award - eTELEMED 2020 - 2020
  • Connaught Innovation Award - Institutional - 2018 - $45,305
  • Ontario Ministry of Research, Innovation and Science Early Researcher Award - Provincial - 2016 - $150,000
  • Winner, Aging2.0 regional chapter pitch competition (with WinterLight) - International - 2016
  • Excellence in Applied Research award from the National Speech-Language & Audiology Canada - National - 2016
  • Baycrest Research in Print award - Institutional - 2015
  • ISCA Best Student Paper Award (Katie Fraser first author, Interspeech 2013) - International - 2013
  • UofT Computer Science Union Instructor Award (nomination) - Institutional - 2013
  • GRAND Young Network Investigator award - National - 2012 - $5000
  • Ontario Brain Institute Entrepreneur - Provincial - 2012 - $50,000 (declined, to take professorship)
  • Nominee for NSERC Innovation Challenge - National - 2011
  • MITACS Elevate Industrial Fellowship - National - 2011-2012 - $65,000
  • Ontario Graduate Scholarship - Provincial - 2009-2010 - $15,000 (declined)
  • MITACS Accelerate Canada award - National - 2009 - $15,000
  • NSERC Canada Graduate Scholarship (Doctoral) - National - 2006-2009 - $105,000
  • McGill Majors Fellowship - Institutional - 2006 - ~$30,000 (declined)
  • FQRNT Bourse de Maitrise - Provincial - 2004-2005 - $25,000
  • NSERC undergraduate research award (AI) - National - 2002 - ~$6,000
  • CS graduation awards - Institutional - 2004 - ~$1,200
  • Dean's List - Institutional - 2001-2003

//Grants (selected)

  • Heart and Stroke Foundation and Brain Canada - Heart-Brain IMPACT award - National - 2022-2026 - $2,900,000 (co-PI, Douglas S Lee: NPI)
  • CANSSI Ontario - ICES UofT Data Access, The Ontario Uveitis Cohort (OUC) Database - Development and validation of an administrative data algorithm - Provincial - 2021 - $10,000
  • CIFAR-Temerty Innovation Catalyst Grant, An Artificial Intelligence-based MR Imagine Reconstruction Framework - Institutional - 2021-2023 - $130,000 (with Mojgan Hodaie)
  • Research program, Machine Learning Methods in Health - Institutional - 2021 - $50,000
  • CIHR Operating Grant, Evaluating the impact of COVID-19 pandemic on primary care using real world data: focus mental health - National - 2020-2021 - $200,000 (PI: Karen Tu)
  • Sponsored research (Electronics and Telecommunications Research Institute, Korea), Machine learning in surgical safety - International - 2020-2021 - $115,000
  • SSHRC Insights, Values Ecosystems in the Design of Artificial Intelligence for Health Care: An Exploratory Focused Ethnography - National - 2020 - $61,000 (PI: James Shaw)
  • CIHR COVID-19 Rapid Research, CovidFree@Home: Development and validation of a multivariable prediction model of deterioration in patients diagnosed with COVID-19 who are managing at home - National - 2020 - $620,133 (PI: Andrea S Gershon)
  • NSERC Discovery, Machine learning in surgical safety - National - 2020-2025 - $120,000
  • International Student Experience Fund, University of Toronto, iSSD@OISE: A Tool for Strengthening the Global Competencies of the OISE International and Domestic Graduate Student Community - Institutional - 2020-2023 - $299,750 (PI: Eunice Jang)
  • Mitacs, Machine learning in the operating room: focus, performance, and the medical record - National - 2020 - $90,000
  • CIRN, The benefits of pneumococcal immunization programs for ... - National - 2019-2021 - $304,682 (Co-investigator; PIs: Natasha Crowcroft and Fawziah Lalji)
  • NSERC Discovery, Natural language processing in healthcare data - National - 2019-2020 - $27,600
  • CIHR/CLA Boehringer Ingelheim Canada COPD Catalyst Grant, Identification of patients admitted with COPD exacerbations and stratification of those at high risk of readmission using natural language processing and machine learning, (Co-PI; PI: Robert Wu) - National - 2019 - $30,000
  • Michael J Fox & Weston Foundation Computer Science Fellowship - International - 2019-2020 - $150,000USD
  • CIHR Planning grant, Mapping the Equity Dimensions of AI in Public Health, (Co-applicant; PI: Maxwell Smith) - National - 2019 - $39,568
  • Sponsored research (Electronics and Telecommunications Research Institute, Korea), Explainable AI - International - 2018-2019 - $196,000
  • CIHR Project grant, Comprehensive Ontario Microbiology laBoratory Administrative daTa for AntiMicrobial Resistance (COMBAT-AMR), (Co-applicant; PI: Kevin Brown) - National - 2018-2021 - $608,176
  • JP Bickell Foundation Research grant - National - 2018 - $46,640
  • NSERC Engage (with Syngli Incorporated) - National - 2018 - $25,000
  • Google Cloud Platform Education grant - International - 2017-2017 - $5000USD
  • AGE-WELL Catalyst - National - 2017 - $43,765
  • NSERC Research Tools & Instruments - National - 2017 - $16,107
  • Canadian Institutes of Health Research (CIHR) and the Natural Sciences and Engineering Research Council of Canada (NSERC) Collaborative Health Research Projects (CHRP) (Principal Investigator) - National - 2017-2020 - $648,664
  • NSERC Discovery Frontiers, Digging into Data Challenge - National - 2017-2020 - $100,000
  • Ontario Centres of Excellence Health Technologies Fund (with WinterLight and Revera) - Provincial - 2017 - $94,836
  • Ontario Centres of Excellence SmartStart Seed (with WinterLight) - Provincial - 2016 - $37,416
  • Johns Hopkins Jelinek Summer Workshop - Remote Monitoring of Neurodegeneration through Speech - International - 2016 - TBD
  • AGE-WELL Strategic Investment Program - National - 2016 - $24,675
  • Banting & Best Centre for Innovation & Entrepreneurship Collaboration Fellowship (with WinterLight) - Institutional - 2015 - $10,000
  • Health Innovations Hub (H2I) (PI) - Institutional - 2015-current - TBD
  • AGE-WELL WP2.3 CARE-RATE (Co-PI, with Jan Polgar, University of Western Ontario) - National - 2015-2016 - $281,005
  • OCE VIP I (with iDAPT Somno Inc.) - Developing a wearable device to record physiological signals during sleep - Provincial - 2015 - $20,000
  • NSERC Engage (with IBM) - National - 2015 - $25,000
  • NSERC Collaborative Research and Development Grant (Co-I, PI: Frank Russo, Ryerson University) - National - 2015-2017 - $440,000
  • NSERC Engage (with Seth's Hospitality Services Inc.) - National - 2014-2015 - $25,000
  • Mitacs cluster, Optimizing hearing aids for speech intelligibility, sound quality and emotional speech (co-I, PI: Frank Russo) - National - 2014-2015 - $138,500
  • Ontario Brain Institute Ontario Neurodegenerative Disease Research Initiative (ONDRI) Basic Science Program, Individually optimized brain stimulation in dementia using MEG (Co-PI, PI: Jed Meltzer) - Provincial - 2014-2018 - $726,655
  • Alzheimer Society of Canada Young Investigator grant, Software to engage individuals with Alzheimers disease in conversation in support of speech therapy - National - 2014-2017 - $180,000
  • Leverhulme Trust grant, A cloud-based computational resource for clinical and educational applications of speech technology (co-I, PI: Phil Green, University of Sheffield) - International - 2014-2017 - £124,994
  • NSERC Engage (with Phonak Ltd.) - National - 2013-2014 - $25,000
  • Nuance Foundation research grant - International - 2013-2014 - $45,330 USD
  • GRAND Collaborative Network Investigator - National - 2013-2014 - $17,000
  • NSERC Discovery grant - National - 2013-2019 - $120,000
  • RIC VentureStart award - National - 2012 - $30,000
  • Ontario Centres of Excellence Market Readiness award - Provincial - 2012 - $40,000
  • University of Toronto Early Stage grant - Institutional - 2012 - $30,000
  • SSHRC Insight Grant, SpokenWeb: Developing a Comprehensive Web-Based Digital Spoken Word Archive for Literary Research (collaborator, PI: Jason Camlot, Concordia University) - National - 2012-2014 - $301,124
  • NSERC Collaborative Research and Development Grant (with my PhD committee; PI: Graeme Hirst) - National - 2008,2009 - $152,895
  • Bell University Labs Research Grant (with my PhD committee; PI: Graeme Hirst) - Institutional - 2007 - $75,000

// Service

  • Member, External Reference Group, Health Canada (2021-present)
  • Ad hoc member, Scientific Advisory Committee on Digital Health Technologies, Health Canada (2019-present)
  • Co-chair, 32nd Canadian Conference on Artificial Intelligence (2018-2019)
  • Chair, Toronto Machine Learning Summit (2018)
  • Expert member, Task Force on AI & Emerging Digital Technologies, Royal College of Physicians and Surgeons of Canada (2018-)
  • Member, CIHR College of Reviewers (2017-)
  • Inaugural Chair, SCC mirror committee MC/ISO/IEC JTC 1/SC 42, Artificial Intelligence (2017-2019)
    • Vice-chair, SCC mirror committee MC/ISO/IEC JTC 1/SC 42, Artificial Intelligence (2019-)
  • Participant member,
    • IEEE Wellbeing Metrics Standard for Ethical Artificial Intelligence and Autonomous Systems P7010 (2017-)
    • ICTC Healthtech Advisory Committee (2021-)
  • President, Joint Special Interest Group of the Association for Computational Linguistics (ACL) and the International Speech Communication Association (ISCA) on Speech and Language Processing for Assistive Technologies, 2015-2020
  • Editorial board,
    • Computational Intelligence, 2021-
    • Computer Speech & Language, 2020-
    • JMIR Rehabilitation and Assistive Technologies, 2016-2018
    • PLoS ONE, 2020-
    • PLoS ONE, Digital Health, 2022-
  • Associate editor, Journal of Alzheimer's Disease, 2016
  • Guest editor, PLoS ONE Science of Stories, 2018-
  • Guest editor, Special Issue of Computer Speech and Language, (2014,2019)
  • Guest editor, Special Issue of ACM Transactions on Accessible Computing (TACCESS), 2013-2014
  • Organizing committee, TECHNA 2018 Symposium, Enabling AI in Healthcare, 2018
  • Co-organizer, Workshop on Designing Speech, Acoustic and Multimodal Interactions at CHI 2017, 2016-2017
  • Co-organizer, Workshop on Designing Speech and Multimodal Interactions for Mobile, Wearable, and Pervasive Applications at CHI 2016, 2015-2016.
  • Organizer, ACL/ISCA Workshop on Speech and Language Processing for Assistive Technologies, (2013, 2014, 2015, 2016, 2019)
  • Organizer, Special session on Speech Technologies for Ambient Assisted Living at Interspeech 2014, 2014
  • Secretary-Treasurer, Joint Special Interest Group of the Association for Computational Linguistics (ACL) and the International Speech Communication Association (ISCA) on Speech and Language Processing for Assistive Technologies, 2012-2014
  • Editor, MITACS Associate Research Review Committee, 2011-2012.
  • Mentor, Department of Computer Science mentorship program, 2012-2013.
  • Member,
    • Data Science program committee, Department of Computer Science, University of Toronto, 2015;
    • Applied Masters (MScAC) program committee, Department of Computer Science, University of Toronto, 2015-
  • Chair,
    • Speech Production Measurements and Analyses, Interspeech 2015;
    • Speech and Hearing Disorders & Perception, Interspeech 2016;
    • Machine Learning II, Canadian Conference on Artificial Intelligence 2011.
  • Co-chair, Student Research Workshop, NAACL-HLT 2010.
  • Review committee (award),
    • Alzheimer's Society of Canada (incl. panel 2015)
    • AGE-WELL Trainee Awards (2015, 2017)
    • Bloorview Research Institute Post-Doctoral Fellowship (2014)
    • Canadian AI Best Paper Award (2020)
    • Mark Rochon Leadership Award (2013)
    • UofT Data Sciences Institute Doctoral Student Fellowship (2022)
  • Reviewer (grant),
    • Alzheimer's Association (2013)
    • Alzheimer's Society of Canada (incl. panel, 2015)
    • Alzheimer's Society of Canada Training Award Peer Review Panel (2017, 2018)
    • Canadian Institutes of Health Research (CIHR) Collaborative Health Research Projects - NSERC Partnered (2017, 2018)
    • CIFAR International Expert Review Panel (2021)
    • UofT Data Sciences Institute Catalyst Grant (2021)
    • McGill Healthy Brains for Healthy Lives (2019, 2022)
    • Mitacs Accelerate (2013)
    • NRC-CIHR Aging in Place (2022)
    • NSERC Discovery (2013, 2014, 2015, 2017, 2018, 2020, 2021, 2022)
    • NSERC Industrial Research Chair (2017)
    • Ontario Research Fund -- Advanced Health Technologies (incl. panel, 2018)
    • Oregon Alzheimer's Disease Center (2015,2016)
    • Rosetrees Trust Interdisciplinary Prize (2019)
    • Simons Foundation (2022)
    • Swiss National Science Foundation (2022)
    • Temerty Innovation Grants (2021)
  • Reviewer (journal),
    • ACM HEALTH (2020)
    • Annals of Translational Medicine (2020)
    • Aphasiology (2014, 2015)
    • Artificial Intelligence in Medicine (2015, 2017)
    • Assistive Technology (2011, 2013)
    • Biomedical Signal Processing and Control (2014)
    • BMJ Open (2018)
    • Computer Methods and Programs in Biomedicine (2012, 2015, 2018)
    • Computer Speech and Language (2012, 2015, 2021)
    • IBM Journal of Research and Development (2016)
    • IEEE Journal of Biomedical and Health Informatics (2019, 2021)
    • IEEE Journal of Selected Topics in Signal Processing (2019)
    • IEEE Open Journal of Engineering in Medicine and Biology (2021)
    • Information Retrieval (2015)
    • International Journal of Computer Assisted Radiology and Surgery (2022)
    • JAMIA (2021)
    • Journal of the Acoustical Society of America (2013, 2014, 2016, 2017)
    • Journal of Alzheimer's Disease (2020)
    • Journal of the American Medical Informatics Association (JAMIA) (2020)
    • Journal of Geriatric Psychiatry and Neurology (2018)
    • Journal of Current Alzheimer Research (2016)
    • Journal of Neuroscience Methods (2021)
    • JMIR (2021, 2022x2 )
    • JMIR Medical Education (2021)
    • JMIR Medical Informatics (2021)
    • Nature (2019, 2021, 2022)
    • Nature Communications Medicine (2021)
    • Neural Systems & Rehabilitation Engineering (2013, 2021)
    • PLOS Computational Biology (2017)
    • PLOS ONE (2013, 2018, 2018x2)
    • Sensors (2014)
    • Speech Communication (2011, 2013, 2015)
    • University of Toronto Medical Journal (UTMJ) (2016, 2018)
    • IEEE Transactions on Audio, Speech, and Language Processing (2013, 2014, 2016, 2019 x2)
    • IEEE Transactions on Biomedical Engineering (2014)
    • IEEE Transactions on Neural Networks (2011)
    • Transactions of the ACL (standing reviewer, 2021-2023)
    • Transactions on Neural Systems & Rehabilitation Engineering (2016)
  • Program committee / reviewer (conference),
    • AAAI (2021, 2022)
    • AAAI - Workshop on Human-Centric Self-Supervised Learning (2022)
    • Annual meeting of the Association for Computational Linguistics (ACL) (2014, 2015, 2019, 2020)
    • ACL Rolling Review (2021-)
    • ACL-IJCNLP (2021)
    • AACL-IJCNLP (2020)
    • ACM Conference on Health, Inference, and Learning (CHIL) (2020, 2021, 2022)
    • ACM SIG-ACCESS Conference on Computers and Accessibility (ASSETS) (2016)
    • Canadian Conference on Artificial Intelligence (CanAI) (2012, 2014, 2015)
    • ClinicalNLP (2020)
    • EACL (2020)
    • EMNLP (2016, 2018, 2020, 2021)
    • European Signal Processing Conference (EUSIPCO) (2014)
    • ICASSP (2019, 2022)
    • ICLR (2021)
    • ICML (2022)
    • International Conference on Pervasive Computing Technologies for Healthcare (2012)
    • International Joint Conference on Artificial Intelligence (IJCAI) (2020)
    • Interspeech (2017, 2018, 2019, 2021, 2022)
    • Workshop on Machine Learning for Health (ML4H) at NeurIPS (2019, 2021)
    • NAACL-HLT (2009, 2019)
    • NeurIPS (2020, 2021, 2022)
    • RaPID (2016, 2018, 2020)
    • Symposium on Machine Learning in Speech and Language Processing (2012)
    • Women in Natural Language Processing (2017)
    • ACM Workshop on Multimodal Deception (WMDD 2015) (2015)
    • Workshop on Computational Linguistics and Clinical Psychology (CLPsych) (2018, 2019, 2022)
    • Workshop on Ethics in Natural Language Processing (2016-17, 2018)
    • Workshop on Language Technology for Equality, Diversity, and Inclusion (2022)
    • Workshop on Representation Learning for NLP (RepL4NLP) (2021, 2022)
    • Workshop on Speech and Language Processing for Assistive Technologies (2012)
    • Workshop on Speech Production in Automatic Speech Recognition (2013)
  • Judge, Toronto Rehab Research Day (2011), Rehabilitation Sciences Sector Research Showcase (2013, 2016), Collaborative Program in Neuroscience Research Day (2015), University of Toronto 2021 ProjectX (2022)
  • Student representative, Toronto Rehabilitation Institute Research Advisory Committee, 2011-2012.
  • Undergraduate representative (elected, 1 year) on CS faculty - 2002-2003.