Kourosh Davoudi Assistant Professor of Computer Science Faculty of Science, Ontario Tech University Office: UA 4013 Phone: (905) 721-8668 x 2779 Email: heidar.davoudi at ontariotechu dot ca My name is Heidar (aka Kourosh) Davoudi and I am an assistant professor of Computer Science at Ontario Tech University. I received my PhD in Computer Science with focus on Machine Learning and Data Mining from York University. I was a postdoctoral research fellow in the Department of Management Sciences at University of Waterloo before joining Ontario Tech in 2019.

Currently, I am looking for highly motivated and hard-working graduate students (PhD, MSc). If you are interested in studying with me in the areas of Natural Language Processing and Machine Learning, please email me your most recent CV, and relevant skills.

  Research Interests

• Deep Learning
• Reinforcement Learning
• Graph Mining
• Natural Language Processing

  Teaching

• Fall 2023
  • CSCI 4150U: Data Mining
  • CSCI 3070U: Analysis and Design of Algorithms
• Winter 2024
  • CSCI 4610U: Artificial Intelligence

Research Papers

• W. Chan, A. An, and H. Davoudi, A Case Study on ChatGPT Question Generation, 2023 IEEE International Conference on Big Data (IEEE Big Data 2023), Sorrento, Italy, December 15-18, 2023 (Accepted).
   
  
• G. Babanejaddehaki, A. An, and H. Davoudi,A Hybrid Outbreak Detection Using Ontology-based Data Collection from Social Media, 2023 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023), Istanbul, Turkey, 5-8 December, 2023 (Accepted).
   
  
• P. Nagy, H. Davoudi, Towards Deep Learning Models for Automatic Computer Program Grading, The 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2023), Thessaloniki, Greece, Oct 9–13, 2023.
   
  
• N. Babanejad, H. Davoudi, A. Agrawal, A. An, M. Papagelis, The Role of Preprocessing for Word Representation Learning in Affective Tasks. IEEE Transactions on Affective Computing (Accepted), 2023.
   
  
• A. Naeiji, A. An, H. Davoudi, M. Delpisheh, M. Alzghool, Question Generation Using Sequence-to-Sequence Model with Semantic Role Labels, to appear in the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), Dubrovnik, Croatia, May 2-6, 2023.
   
  
• H. Hajiyan, H. Davoudi, M. Ebrahimi, A Comparative Analysis of Local Explainability of Models for Sentiment Detection, Proceedings of the Future Technologies Conference, Oct 10-21, 2022.
   
  
• S. Bakos, H. Davoudi, Mitigating Cowardice for Reinforcement Learning Agents in Combat Scenarios, 2022 IEEE Conference on Games (CoG'22), August 21-24, 2022.
   
  
• J. Nemec, H. Davoudi, L. Golab, M. Kargar, Y. Lytvyn, P. Mierzejewski, J. Szlichta, M. Zihayat, RW-Team: Robust Team Formation using Random Walk, The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), November 1-5, 2021.
   
  
• M. Zihayat, A. Ayanso, H. Davoudi, Mehdi Kargar, N. Mengesha, Leveraging Non-Respondent Data in Customer Satisfaction Modeling, Journal of Business Research, Volume 135, October 2021.
   
  
• N. Babanejad, H. Davoudi, A. An, M. Papagelis, Affective and Contextual Embedding for Sarcasm Detection, The 28th International Conference on Computational Linguistics (COLING'20), Online, December 8-13, 2020.
   
  
• A. Stoica, K. Q. Pu, H. Davoudi, NLP Relational Queries and Its Application, IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI'20), Las Vegas, NV, USA, 2020.
   
  
• S. Bryson, H. Davoudi, L. Golab, M. Kargar, Y. Lytvyn, P. Mierzejewski, J. Szlichta, M. Zihayat, Robust Keyword Search in Large Attributed Graphs, Information Retrieval Journal (IRJ), 23(5), 2020.
   
  
• H. Davoudi, A. An, M. Zihayat and G. Edall, Paywall Policy Learning in Digital News Media , IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(10), 2020.
   
  
• N. Babanejad, A. Agrawal, H. Davoudi, A. An, M. Papagelis, Leveraging Emotion Features in News Recommendations, Proceedings of the 7'th International Workshop on News Recommendation and Analytics (INRA'19) in conjunction with RecSys’19, Copenhagen, Denmark, September 16 - 20, 2019.
   
  
• H. Davoudi, P. Godfrey, L. Golab, M. Kargar and D. Srivastava, J. Szlichta, Bringing Order to Data, Proceedings of the 13'th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW'19), Asuncion, Paraguay, June 03 - 07, 2019.
   
  
• H. Davoudi, A. An, G. Edall, Content-based Dwell time Engagement Prediction Model for News Articles, The 17'th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), Minneapolis, USA, June 2-7, 2019.
   
  
• M. Zihayat, M., A. Ayanso, X. Zhao, H. Davoudi, & A. An, A utility-based news recommendation system, Decision Support Systems, 117, 14 - 27, 2019.
   
  
• H. Davoudi, A. An, M. Zihayat and G. Edall, Adaptive Paywall Mechanism for Digital News Media, Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'18), London, U.K., August 19–23, 2018.
   
  
• H. Davoudi, M. Zihayat, A. An, Mining significant high utility gene regulation sequential patterns, Journal of BMC Systems Biology, 11(6): 109, 2017.
   
  
• H. Davoudi, M. Zihayat, A. An, Time-Aware Subscription Prediction Model for User Acquisition in Digital News Media, Proceedings of SIAM International Conference on Data Mining (SDM'17), Houston, Texas, USA, April 27–29, 2017.
   
  
• Y. Chen, M. L.-Jing Yann, J. Choi, H. Davoudi, Aijun An, and Z. Mei, Contrast-based Collaborative Behavior Recommendation System for Life Improvement, Proceedings of the 21'st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'17), Jeju, South Korea, May 23–26, 2017.
   
  
• M. Zihayat, H. Davoudi and A. An, Top-k Utility-based Gene Regulation Sequential Pattern Discovery, Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM'16), Shenzhen, China, December 15–18, 2016.
   
  
• E. Delpisheh, A. An, H. Davoudi and E. G. Boroujerdi, Time-aware Topic based Recommender System, Big Data and Information Analytics, 1(2), 2016.
   
  
• A. Agrawal, R. Sahdev, H. Davoudi, F. Khonsari, A. An, S. McGrath, Detecting the Magnitude of Events from News Articles, Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'16), Omaha, Nebraska, USA, October 13–16, 2016.
   
  
• H. Davoudi, Aijun An, Ontology-based Topic Labeling and Quality Prediction, Proceedings of the 22'nd International Symposium on Methodologies for Intelligent Systems, Lyon, France, October 21–23, 2015.
   
  
• H. Davoudi, Xiaoli Li, M. N. Nguyen, S. P. Krishnaswamy, Human activity Recognition using Few Labeled Sample, Proceedings of the 18'th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'14), Taiwan, May 13–16 , 2014.