Fatemeh Nargesian

Fatemeh Nargesian

I am a PhD candidate with the Department of Computer Science at the University of Toronto. I am a member of the Data Curation Research Group, advised by Professor Renée J. Miller. I also collaborate with Prof. Ken Pu.

My research interests are broadly in data management with focus on dataset search and summarization, feature engineering, and missing value imputation.




Publications

Dataset Evolver: An Interactive Feature Engineering Notebook
F. Nargesian, U. Khurana, H. Samulowitz, D. S. Turaga, T. Pedapati
To appear in the 32nd AAAI Conference on Artificial Intelligence (AAAI '18)
Learning Feature Engineering for Classification
F. Nargesian, H. Samulowitz, U. Khurana, E. B. Khalil, D. S. Turaga
In the 26th International Joint Conference on Artificial Intelligence (IJCAI '17)
Interactive Navigation of Open Data Linkages (Best Demo Award)
E. Zhu, K. Q. Pu, F. Nargesian, R. J. Miller
In the 43rd Interntaional Confernce on Very Large Databases (VLDB '17)
LSH Ensemble: Internet-Scale Domain Search
E. Zhu, F. Nargesian, K. Q. Pu, R. J. Miller
In the 42nd Interntaional Confernce on Very Large Databases (VLDB '16)
SOFIA: An Analytics Recommendation System (Demo)
F. Nargesian, A. Biem, P. Jain, S. Parthasarathy, D. S. Turaga
In the 14th International Semantic Web Conference (ISWC '15)
LinkedCT Live: Platform for Online Curation of Clinical Trials Data (Demo)
O. Hassanzadeh, R. J. Miller, F. Nargesian, and E. Zhu
In the 14th International Semantic Web Conference (ISWC '15)
Data-driven Recommendations for Exploratory Query Formulation
F. Nargesian
In the ACM SIGMOD conference (SIGMOD PhD Symposium '14)
Managing and Mapping Data Lineage for Business Intelligence and Analytics Applications in Health Care
M. Azarm, F. Nargesian, L. Peyton
In the International Conference on Information Society (i-Society '11)
Tool Support and Data Management for Business Analytics Applications in Healthcare
M. Azarm, F. Nargesian, L. Peyton
In th International Journal for Infonomics (IJI '11)


Research Experiences

Research internship - Automated Machine Learning group, IBM T. J. Watson research center
(Jun-Nov '16)
Research internship - Exploratory Stream Analytics group, IBM T. J. Watson research center
(Aug-Nov '14)
Research and development - Clinical Informatics research group, McGill University
(Jan-Aug '11)


Teaching

Course Instrutor - CSC343: Introduction to Databases (Fall '15)
Teaching Assistant - CSC343: Introduction to Databases (2012-2017)
Teaching Assistant - CSCC69: Principles of Operating Systems (2013-2017)
Teaching Assistant - CSC443: Database System Technology (Fall '13)


Awards

WiML travel grant (WiML '17)
IJCAI travel grant (IJCAI '17)
BELL graduate scholarship (2015-2017)
Best poster award (CASCON '10)
International Francophone scholarship (2008-2011)