Director
Prof. Scott Sanner, PhD.
Associate Professor in Industrial Engineering
Cross-appointed in Computer Science
Email: ssanner@mie.utoronto.ca
Phone: 416-978-4871
Office location: BA8104
D3M Group Members (December 2019)
Post-doctoral Fellows
Ayal Taitler
(Planning and Reinforcement Learning)
Michael Gimelfarb
(Planning and Learning in RDDL Domain Models)
PhD Students
Jihwan Jeong
(Risk-averse and Robust Model-based Decision-making)
Xiaoyu Wang
(Deep Reinforcement Learning for Traffic Signal Control)
Xiaocan Li
(Deep Reinforcement Learning for Traffic Perimeter Control)
Armin Toroghi
(Bayesian Neurosymbolic Reasoning with Knowledge Graphs)
Anton Korikov
(Language, Preference, and Interaction)
Jack Liu
(Reinforcement Learning with Known Models)
Tomas Tokar
(Data Science in Latent Spaces)
Masters Students
Mohammad Mahdi Abdollah Pour
(Controllability in Natural Language Generation)
Griffin Floto
(Bayesian Neurosymbolic Reasoning)
Jolomi Tosanwumi
(Optimization Models for Temporal Clustering)
George Saad
(Leveraging Attention for Retrieval-Augmented Ranking and Explanation)
Esmat Sahak
(Subjective Summarization with Large Language Models)
Wenhao Li
(Symbolic Learning for Few-shot Abstract Reasoning)
MEng Students
Meghana Padmanabhan (2021)
(System Suggested Critiquing for Conversational Recommender Systems)
Yifei Ai (2021)
(Deep Reinforcement Learning for Freeway Management)
Zhicheng Yan (2021)
(Deep Reinforcement Learning for Traffic Signal Control)
Natalie Mustard (2020)
(Traffic Congestion Pattern Mining and Prediction)
Shengnan (Zoey) Lyu (2020)
(Conversational Recommender Systems)
Dongsub Shim (2020)
(Continual Learning for Computer Vision)
Tuocheng Liu (2018)
(Object Detection and Tracking for Traffic and Maintenance Monitoring)
Richard Stanton (2017)
(Machine Learning for Hospital Readmission Prediction)
Honours Thesis Students
Haochen Zhang (2022-2023)
(Multiaspect Preference Reasoning with Language Models)
Tianqi Huang (2021-2022)
(A Comprehensive Analysis of Neural IR for Preference Matching in Conversational Recommendation)
Jiaru (Kelly) Li (2021-2022)
(Towards Understanding and Mitigating Unintended Biases in Language Model-driven Conversational Recommendation)
Saad Jameel (2020-2021)
(Conversational Recommender Systems)
Litos (Hanze) Li (2019-2020)
(Conversational Recommender Systems)
Shen (Alex) Lin (2019-2020)
(Deep Learning for Financial Market Prediction)
Zhouran (Rena) Lu (2019-2020)
(Interpretable Social Media Embeddings of Neighborhoods)
Kexin (Isabelle) Zhang (2018-2019)
(An Exploration of Clusterwise Linear Regression Model on Urban Census Data)
Ronen Yakubov (2018-2019)
(A Bayesian Approach to Clustering Census Tracts into Neighborhoods)
Yu Qing (Ivan) Zhou (2017-2018)
(An Exploration of Machine Learning Algorithms for Photo Recommendation)
Zhi Jiang (Tony) Ye (2017-2018)
(Piecewise Constrained Optimization with Decision Diagrams)
Kevin Zhu (2016-2017)
(Geospatial Prediction for Goods Solicitation with Bayesian Data Fusion)
Qi Pan (2016-2017)
(Predicting Future Student Performance on Intelligent Tutoring Systems)
Visiting Students
Thiago Bueno (2018-2019),
PhD Student, University of Sao Paulo
(Planning with Stochastic Computation Graph Models)
Yakun Wang (2017-2018),
PhD Student, Beijing University of Posts and Telecommunications (BUPT)
(Temporally Stable Learning for Social Media)
Capstone Groups
Danielle Page, Maria Papadimitriou, Margaret Tkatchenko, John Volpatti (2021-2022)
Switching Gears: A Comparison Tool Reshaping How Cities Plan Bike Routes
First Place, Capstone Design Award
Yiyang Sun, Yiyan Tang, Yubo Wang and Xinrui Zheng (2021-2022)
ChattyTrip – A Conversational Trip Planning Tool
Third Place, Capstone Design Award
Kelly Sun, Helen Wang, Joyce Yan, Gigi Liang (2020-2021)
Pedestrian Navigation Planning during COVID using Transit and Camera-derived Pedestrian Data
Second Place, Capstone Design Award (Video Overview)
Matteo Ciserani, Christopher Palumbo, Marc Atasoy, Bassam Bibi (2020-2021)
Interactive Road Trip Recommendation and Planning (Video Overview)
Tianshu (Tina) Shen, Yang (Viola) Song, Yian (Anne) Zha, Xiaonian (Sean) He (2019-2020)
Conversational Systems for Restaurant Recommendation
First Place, Capstone Design Award (Video Overview)
Mathieu Tuli, Joseph Sismondo, Quanzhou Li, Zian (Trevor) Zhuang (2019-2020)
Predicting the Impact of Infrastructure on the Urban Heat Island Effect
Rouzbeh Hadjibaba, Jered Petrou, Alfred Kannampuzha, Shaizam Zaheer (2019-2020)
Analytics Tools for Predicting Future Sales
Emily Xu, Carol Yeung, Nicole Wongsoo, Amrit Prasad (2018-2019)
Customer Feedback Dashboard
First Place, Capstone Design Award
Jade Khiev, Ayan Gedleh, Padmanie Maulkhan, Jessie Diep (2018-2019)
Mining and Browsing Market Moving News
Spencer Canner, Oghosa Igbinakenzua, Aadil Sookia (2017-2018)
Interactive Visual Interfaces for Book Recommendation
First Place, Capstone Design Award (Newvella Book Recommender Demo)
Anton Blochtchinksi, Jason Rizk, Vibhor Sachdeva (2016-2017)
Social Media Analytics
First Place, Capstone Design Award (Project Repository)
Undergraduate Summer Interns
2022: Ray Coden Mercurius, Hassan Khurram, Fernando Assad, Yixin Lok, Zhaoqi Wang, Haochen Zhang, Xi Yu (Kristin) Huang, Nathan Jones
2021: Cathlyn (Yihan) Chen, Noah Patton, Jiani Li, Hshmat Sahak, Litao (John) Zhou
2020: Yudong (William) Xu, Chenhao Liu
2019: Kaitlyn Low, Siyuan (Ethan) Wang, Matteo Bruzzese, Nolan Mandel
2018: Bayaan Shalaby, Nojhat Hrishti, Shuyi Ziang, Jin Zhou, Jiachen (Jason) Zhou, Yun Fan (John) Zhou
2017: Chuhan (Sally) Chen, Hanze Li, Weixin (Steven) Liu, Zhuoran (Rena) Lu, Cong Shi, Zhaocong (Justin) Yuan, Yu Qing (Ivan) Zhou
Associates
Xiaoliang (Daniel) Shi,
MEng, University of Toronto, now at Bell Canada
(Scalable Social Media Analytics with Apache Spark)
Iain Guilliard
PhD Student, Australian National University
(Mixed Integer Linear Programming Models for Traffic Signal Control)
Former Group Members
William Xu
MASc 2023, continuing to PhD
(Object-centric Approaches for the Abstraction and Reasoning Corpus)
Parsa Farinneya
MASc 2023
(Enhancing Fusion Techniques and Language Model Fine-tuning for Natural Language-based Reviewed-Item Retrieval)
Aravinth Kuppuswamy Chembu
MASc 2022, now at Walmart, Data Science and Analytics Division
(Generalized Clustering and Integer Optimization for Data Science)
Tianshu (Tina) Shen
MASc 2022, now at Loblaw Digital
(Novel Problems and Challenges in Language-based Conversational Recommender Systems)
Ruiwen Li
MASc 2022, now at EAIGLE Inc
(On the Explanation and Localization Ability of the Class Activation Map)
Zhibo Zhang
MASc 2022, now at Amazon
(Explanation-driven Frameworks for Data Augmentation and Supervised Contrastive Learning in Image Classification)
Riley Moher
MASc 2022, now at BMO
(Meaningful Datatypes: Ontologically-sound Dependent Type Systems for Data Science)
Mathieu Tuli
MSc 2022
(Learning to Follow Instructions in Text-Based Games)
Arpit Rana
Former Post-doc, now Assistant Professor at DA-IICT, Gandhinagar, India
Nicolas Carrara
Former Post-doc, co-founder of Myrill.io
Brent Huchuk
PhD 2021, now at NRC Canada
(A data-driven study of connected residential thermostats to investigate user behavior, thermal modelling, and optimal control of HVAC systems)
Yi (Amy) Sui
MASc 2021, now at Layer6 AI
(An exploration of modelling for sparse data and explanation in deep learning)
Parth Jaggi
MASc 2021
(Microscopic Model-Based Reinforcement Learning Approaches for Traffic Signal Control and Coordination)
Ta Jiun Ting
MASc 2021, first at Clarivate, now at Editorialist
(Machine Learning Models for Traffic Flow Prediction)
Hojin Yang
MASc 2021, now at Talka.ai
(Bayesian Preference Elicitation and Critiquing for Conversational Recommendation)
Zheda Mai
MASc 2021, now a PhD Student in Computer Science
(Online Continual Learning in Image Classification)
Alex Olson
MASc 2020, now an AI Consultant with CARTE
(Latent Modelling of Urban Data: Enriching Computational Analysis in Urban Studies by Applying Novel Methods)
Ga Wu
PhD 2020, first at Borealis AI, now at Twitter
(One-class Collaborative Filtering with Latent Embeddings: Improvements and Interactive Extensions)
Buser Say
PhD 2020, now a Lecturer at Monash University (Australia)
(Optimal Planning with Learned Neural Network Transition Models)
Chandripal Budnarain
MASc 2020, now at Amazon
(Unsupervised Deep Learning for Anomaly Detection and Explanation in Sequential Data)
Kai Luo
MASc 2019, now at Loblaw Digital
(Latent Critiquing for Conversational Recommender Systems)
Reda Bouadjenek
Former post-doc, now a Lecturer at Deakin University (Australia)
(Machine Learning, Information Retrieval, and Social Media)
Shamin Kinathil
PhD 2019, Australian National University, now at QBE Insurance
(Optimal Solutions to Sequential Market Models)
Yihao Du
MASc 2019, now at CIBC
(Relevance-driven Clustering Methods for Visual Interactive Search)
Shagun Gupta
MASc 2019
(Classification for Healthcare Using Linked and Unlinked Data Sources)
Chee Loong Soon
MASc 2019, first at Amazon, now at Twitter
(Deep Graph Embeddings in Recommender Systems)
Kasra Safari
MASc 2019, now at a startup
(Machine Learning for Topic Classification and Prediction on Twitter)
Dusan Sovilj
Former post-doc, now at Rank Software, Inc.
(Machine Learning for Adaptive User Interfaces)
Harold Soh
Former post-doc, now a Professor of Computer Science at the National University of Singapore (NUS).
Zahra Iman
MASc 2016, Oregon State University
(Learning Topical Social Media Sensors)
Suvash Sedhain
PhD 2016, Australian National University, now at Twitter
(Linear Recommender Systems)
Ehsan Abbasenejad
PhD 2016, Australian National University, now at Australian Institute for Machine Learning, University of Adelaide
(Models for Bayesian Learning and Decision-making)
Hadi Afshar
PhD 2016, Australian National University
(Symbolic Inference in Probabilistic Programs)
D3M Group Members (December 2017)
