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Hello! :)
My name is Azin Asgarian and I am currently a Senior Applied Research Scientist at Georgian Partners. I completed my master degree in computer science at University of Toronto under the supervision of David Fleet and Babak Taati. Previously, I received my bachelor in Computer Science from University of Tehran.
My research interests lie broadly in the fields of Machine Learning, Computer Vision, and Transfer Learning. I am especially interested in the application of these fields to Healthcare problems.
Talks
- 10X faster Machine Learning From R&D to Production - Toronto Machine Learning Summit (TMLS) 2021
- Machine Learning: Necessity vs Obligation - Big Data and AI 2021
- Overcoming the Cold Start Problem - Open Data Science Conference East (ODSC) 2021
- Enhancing ML App with Wisdom of the Crowd - Toronto Machine Learning Summit (TMLS) 2021
- Transfer Learning - Women in Data Science Conference 2020 (WiDS20)
- Introduction to Transfer Learning - Toronto Machine Learning Summit (TMLS) 2019
- Machine Learning: Necessity vs Obligation - Big Data and AI 2021
Recent Blog Posts
February 17, 2019 | Transfer Learning | 0
Transfer Learning — Introduction (Part 1)
A brief overview of Transfer Learning and its application in industry.
Publications
- On the Trustworthiness of Tree Ensemble Explainability Methods
Angeline Yasodhara, Azin Asgarian, Diego Huang, Parinaz Sobhani
International Cross-Domain Conference for Machine Learning and Knowledge Extraction 2021 - Limitations and Biases in Facial Landmark Detection
Azin Asgarian, Shun Zhao, Ahmed B. Ashraf, Babak Taati
Workshop for Women in Machine Learning (WIML) at NeurIPS 2019 - Limitations and Biases in Facial Landmark Detection – An Empirical Study on Older Adults with Dementia
Azin Asgarian, Shun Zhao, Ahmed B. Ashraf, M. Erin Browne, Kenneth M. Prkachin, Alex Mihailidis, Thomas Hadjistavropoulos, Babak Taati
Face and Gesture Analysis for Health Informatics (FGAHI) Workshop at CVPR 2019 (Spotlight Presentation) - Algorithmic Bias in Clinical Populations - Evaluating and Improving Facial Analysis Technology in Older Adults with Dementia
Babak Taati, Shun Zhao, Ahmed B. Ashraf, Azin Asgarian, M. Erin Browne, Kenneth M. Prkachin, Alex Mihailidis, Thomas Hadjistavropoulos
IEEE Access Journal 2019 - Prediction of Workplace Injuries
Mehdi Sadeqi, Azin Asgarian, Ariel Sibilia
AI for Social Good (AISG) Workshop at ICML 2019 - A Hybrid Instance-based Transfer Learning Method
Azin Asgarian, Parinaz Sobhani, Ji Chao Zhang, Madalin Mihailescu, Ariel Sibilia, Ahmed B. Ashraf, Babak Taati
Machine Learning for Health Workshop (ML4H) at NeurIPS 2018 - Transfer Learning for Linear Subspace Models
Azin Asgarian, Ahmed B. Ashraf, David Fleet, Babak Taati
Workshop for Women in Machine Learning (WIML) at NeurIPS 2018 - Subspace Selection to Suppress Confounding Source Domain Information in AAM TransferLearning
Azin Asgarian, Ahmed B. Ashraf, David Fleet, Babal Taati
International Joint Conference on Biometrics (IJCB) 2017 - Barriers to Adoption of Information Technology in Healthcare
Christina Christodoulakis*, Azin Asgarian*, Steve Easterbrook
27th Annual International Conference on Computer Science and Software Engineering (CASCON) 2017