Past Graduate Students
| Name |
Thesis/Project Title |
Degree |
Year Completed |
| 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 |
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 |
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