Past Graduate Students
Name Thesis/Project Title Degree Year Completed
Nicholas Dehnen Visual Element Property Graphs for Bridging the Symbol Description-Recognition Gap M.Sc. 2025
Amin Omidvar Assessing and Enhancing the Quality of News Headlines Using Machine Learning Ph.D. 2025
Yiming Shao Dual-Agent Deep Reinforcement Learning Approach to GPU Job Scheduling M.Sc. 2024
Saeed Abbasi Neural Document Segmentation Using Weighted Sliding Windows with Transformer Encoders M.Sc. 2024
Zhongxin Hu Data Migration Using Online Classification and Reordering M.Sc. 2024
Junjie Deng GPU Job Scheduling Using Deep Reinforcement Learning M.Sc. 2024
Seyed Nima Tayarani Bathaie Advancing Blind Face Restoration: Robustness and Identity Preservation with Integrated GAN and Codebook Prior Architectures M.Sc. 2024
Winston Chan A Case Study on ChatGPT Question Generation M.Sc. 2023
Wei Yuan Few-shot User Intent Detection and Response Selection for Conversational Dialogue System Using Deep Learning M.Sc. 2023
Shima Khoshraftar Learning Effective Embeddings for Dynamic Graphs and Quantifying Graph Embedding Interpretability Ph.D. 2023
Alireza Naeiji Question Generation Using Sequence-to-Sequence Model with Semantic Role Labels M.Sc. 2022
Hoorieh Marefat Fast Similarity Graph Construction via Data Sketching Techniques (co-supervised with Manos Papagelis) M.Sc. 2021
Farnaz Beidokhtinezhad Malicious User Aware Client Selection for Federated Learning (co-supervised with Ping Wang) M.Sc. 2021
Nastaran Babanejad Enriching Word Representation Learning for Affect Detection and Affect-Aware Recommendations Ph.D. 2020
Marjan Delpisheh Neural Question Generation with Transfer Learning and Utilization of External Knowledge M.Sc. 2020
Xing (Shane) Zhao Elastic Synchronization for Efficient and Effective Distributed Deep Learning M.Sc. 2020
Zana Rashidi Adaptive Momentum for Neural Network Optimization M.Sc. 2019
Heidar Davoudi User Acquisition and Engagement in Digital News Media Ph.D. 2018
Nima Shahbazi Discovery and Effective Use of Frequent Item-sets and Association Rules in Datasets (co-supervised with Jarek Gryz) Ph.D. 2018
Emad Gohari Interactive Question Answering Using Frame-Based Knowledge Representation M.Sc. 2018
Forouq Khonsari Mining Large-Scale News Articles for Predicting Forced Migration via Machine Learning Techniques M.Sc. 2018
Ameeta Agrawal Enriching Affect Analysis through Emotion and Sarcasm Detection Ph.D. 2018
Morteza Zihayat Mining High Utility Patterns over Data Streams Ph.D. 2016
Yan (Jason) Chen Approximate Parallel High Utility Itemset Mining M.Sc. 2015
Elnaz Delpisheh Extending Topic Models with Syntax and Semantics Relationships Ph.D. 2015
Mehdi Kargar Keyword Search in Graphs, Relational Databases and Social Networks Ph.D. 2013
Martin Dimkovski A Novel Computational Model of Neocortical Columns with Glia as Learning Agent M.Sc. 2012
Ameeta Agrawal Unsupervised Emotion Detection from Text Using Semantic and Syntactic Relations M.Sc. 2011
Bahareh Sarrafzadeh Cross-lingual Word Sense Disambiguation for Languages with Scarce Resoucess M.Sc. 2011
Hashmatullah Rohian Discovering Temporal Associations among Significant Changes (co-supervised with Jimmy Huang) M.Sc. 2011
Damon Sotoudeh-Hosseini Detecting Partial Drifts Using a Rule Induction Framework M.Sc. 2010
Qian Wan Contrast and Compact Data Mining: Discovering Novel and Useful Patterns from Large Databases Ph.D. 2009
Miro Kuc Cluser Validation Indices: Sensitivity to Distance between Clusters and Affinity to Concurrency M.Sc. 2009
Yang Liu Review Mining from Online Media (co-supervised with Jimmy Huang) Ph.D. 2009
Vlad Gerchikov AV-Space with Paging and Performance Comparison M.Sc. 2008
Qingsong Yao Discovering and Using Database User Access Patterns Ph.D. 2006
Bill Andreopoulos Clustering Algorithms for Categorical Data (co-supervised with Steven Wang) Ph.D. 2006
Linyan Wang AV-Space for Efficiently Learning Classification Rules from Large Data Sets M.Sc. 2006
Yu Li Integrating XML Data for Virtual OLAP using XML Schemas and UML M.Sc. 2005
Yang Liu Markov Model-based Methods for Web User Clustering and Surfing Recommendation (co-supervised with Jimmy Huang) M.Sc. 2004
Ying Zou A Comparison and Selection of Methods for Handling Missing Data in Data Mining M.Sc. 2004
Zhirong Tao Scalable-CLUES: A Scalable Non-parametric Clustering Method Based on Local Shrinking M.Sc. 2004
Qian Wan Efficient Mining of Indirect Associations Using HI-mine M.Sc. 2003

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Past Postdoctoral Fellows and Research Associates
Name Projects Position Time
Zongyang Ma (Co-supervised with Jimmy Huang) Response Selection for Dialogue Systems Postdoc November 2021 - November 2022
Mufleh Al-Shatnaw (Co-supervised with Amir Asif) Distributed Pedestrian Video Tracking Postdoc February 2017 - January 2021
Nastaran Babanejad Natural Language Processing Postdoc January 2021 - May 2021
Ameeta Agrawal Affect Analysis from Text Postdoc April 2018 - August 2020
Sedigheh Mahdavi Graph embeddings, Question generation from text Postdoc October 2017 - May 2020
Muath Alzghool Question generation from text Postdoc January 2019 - December 2019
Haijiang Dai (Co-supervised with Jianhong Wu) Healthcare Data Analytics Postdoc August 2017 - March 2019
Elnaz Delpisheh (Part-time) Automatic generation of questions and answers from text document Postdoc June 2015 - June 2018
Zahra Farzanyar Parallel and Distributed Frequent Pattern Mining Postdoc January 2016 - July 2017
Morteza Zahayat (Part-time) News Recommendation with High Utility Pattern Mining, etc. Postdoc Septermber 2016 - June 2017
Margot Lisa Yann Health behavior recommendation using contrast pattern mining Postdoc April 2016 - March 2017
Tokunbo Makanju Deep Parallelization of Parallel FP-Growth Using Parent-Child MapReduce Postdoc December 2014 - October 2016
Xiangdong An Mining patterns from health survey data Postdoc September 2014 - August 2017
Ricky Fok (Co-supervised with Steven Wang) Global optimization, Parallelizing residual neural networks, Question generation from text Postdoc May 2013 - September 2018