You are now in the main content area
Headshot of Dr. Morteza Zihayat

Dr. Morteza Zihayat

Associate Professor
DepartmentInformation Technology Management
EducationBSc, MSc, PhD
OfficeTRS 2-032
Phone416-979-5000 x 553765


Professor Morteza Zihayat joined the School of Information Technology Management of Toronto Metropolitan University (TMU) in 2017. Before joining ITM, Dr. Zihayat was a Postdoctoral Research Fellow in the Faculty of Information (iSchool) at the University of Toronto. He was also a research fellow in the IBM Spectrum Computing as a member of the BRAIN ALLIANCE - Big Data Research, Analytics, and Information Network. Dr. Zihayat obtained his PhD from York University under the supervision of Prof. Aijun An where he worked on designing scalable frameworks to discover actionable knowledge from Big Data streams and social networks. Since 2012, Dr. Zihayat has been involved in designing and implementing several industrial projects as a business analyst and data scientist in IBM Canada, Dapasoft Inc. and The Globe and Mail Inc.

Machine learning, User Modeling, Graph mining, Predictive Analytics


Refereed Journal Articles
H. Davoudi, *Z. Rashidi, M. Zihayat, A. An, Gordon Edall. (2020). Paywall Policy Learning in Digital News Media. IEEE Transaction on Knowledge and Data Engineering (TKDE) (Ranked #1 journal in Data mining and Analysis, IF: 5.88, Web of Science: Q1, SJR: Q1)
*X. Yang, R. McEwen, *L. R.Ong, M. Zihayat. (2020). A Big Data Analytics Framework for Detecting User-level Depression from Social Networks. International Journal of Information Management (IF: 8.21, Web of Science: Q1, SJR: Q1, ABDC Ranking: A*)
*A.Khan, L. Golab, M. Kargar, J. Szlichta, M. Zihayat. (2020). Compact group discovery in attributed graphs and social networks. Information Processing & Management (IF: 4.78, Web of Science: Q1, SJR: Q1, ABDC Ranking: B)
M. Kargar, L. Golab, D. Srivastava, J. Szlichta, M. Zihayat. (2020). Effective Keyword Search over Weighted Graphs. IEEE Transaction on Knowledge and Data Engineering (TKDE)(Ranked #1 journal in Data mining and Analysis, IF: 5.88, Web of Science: Q1, SJR: Q1)
*M. R. Alagheband, A. Mashatan, M. Zihayat. (2020). Time-based Gap Analysis of Cybersecurity Trends in Academic and Digital Media. ACM Transactions on Management Information Systems (TMIS) (SJR: Q1, IF: 1.5)
*S. Bryson, H. Davoudi, L. Golab, M.Kargar, Y. Lytvyn, P. Mierzejewski, J. Szlichta, M. Zihayat. (2020). Robust Keyword Search in Large Attributed Graphs. Information Retrieval Journal (IF: 2.89, Acceptance rate ~10%)
M. Zihayat, A.Ayanso, *X. Zhao, H. Davoudi and A. An. (2019). A Utility-based News Recommendation System. Decision Support Systems. (IF: 4.72, Web of Science: Q1, SJR: Q1, ABDC Ranking: A*)
M. Zihayat, H. Davoudi, A. An. (2017). Mining Significant High Utility Gene Regulation Sequential Patterns. BMC Systems Biology (IF: 2.5, SJR: Q1)
M. Zihayat, Ch-W. Wu, A. An, and V. S. Tseng, and Ch. Lin. (2017). Efficiently Mining High Utility Sequential Patterns in Static and Streaming Data. Intelligent Data Analysis
M. Zihayat, Y. Chan, and A. An. (2017). Memory-adaptive High Utility Sequential Pattern Mining over Data Streams. Machine Learning Journal. (IF: 3.15, SJR: Q1)
M. Zihayat and A. An. (2014). Mining Top-k High Utility Patterns over Data Streams. Information Sciences. (IF: 5.91, Web of Science: Q1, SJR: Q1)
Refereed Conference Proceedings
*N. Arabzadeh, *A. Bigdeli, M. Zihayat, E. Bagheri. (2021). Query Performance Prediction through Retrieval Coherency. European Conference on Information Retrieval (ECIR) (Top-tier conference in Information Retrieval)
M. Kargar, L. Golab, D. Srivastava, J. Szlichta, M. Zihayat. (2021). Effective Keyword Search in Weighted Graphs. IEEE International Conference on Data Engineering (ICDE) (top-tier conference in data management)
*A. Bigdeli, *N. Arabzadeh, M. Zihayat, E. Bagheri. (2021). Exploring Gender Biases in Information Retrieval Relevance Judgement Datasets. European Conference on Information Retrieval (ECIR)(Top-tier conference in Information Retrieval)
M. Kargar, M. Zihayat, J. Szlichta. (2019). Mining and exploration of attributed graphs: theory and applications. 29th Annual International Conference on Computer Science and Software Engineering (CASCON )
*H. Davoudi, A. An, M. Zihayat, Gordon Edall. (2018). Adaptive Paywall Mechanism for Digital News Media. ACM SIGKDD. (Ranked 1st in Data mining conference)
M. Zihayat, A. An, L. Golab, M. Kargar, J. Szlichta. (2018). Effective Team Formation in Expert Networks. Proceedings of the 12th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW)
*A. Jowhar, M. Zihayat. (2018). Finding a Collaborative Outsourced Team: A Search System Over Social Coding Websites. 28th Workshop on Information Technologies and Systems (WITS)
*H. Davoudi, M. Zihayat, A. An. (2017). Time-Aware Subscription Prediction Model for User Acquisition in Digital News Media. Proceedings of the 2017 SIAM International Conference on Data Mining, Houston (SIAM SDM)(Top-tier conference in Data Mining)
M. Zihayat, A. An, L. Golab, M. Kargar and J. Szlichta. (2017). Authority-based Team Discovery in Social Networks. 20th International Conference on Extending Database Technology (EDBT'17)(Top-tier conference in Data Management)
M. Zihayat, *H. Davoudi and A. An. (2016). Top-k Utility-based Gene Regulation Sequential Pattern Discovery. IEEE International Conference on Bioinformatics and Biomedicine (BIBM'16)
M. Zihayat, Z. Hu, A. An and Y. Hu. (2016). Distributed and Parallel High Utility Sequential Pattern Mining. IEEE International Conference on Big Data (IEEE BigData'16)


Course Code Course Title
ITM 706
Big Data Analytics
ITM 703 AI in Business  
ITM 618 Business Intelligence and Analytics
ITM 100 Foundations of Information Systems
  • PhD, Computer Science, York University, Canada
  • MSc, Information Technology, University of Tehran, Iran
  • BSc, Information Technology, University of Isfahan, Iran
Award Year
Annual TRSM Research Recognition Awards. This award is  given to faculty whose scholarly endeavours support the strategic, emerging, and unique context areas of research in TRSM. 2020
Five times recipient of TRSM Outstanding Research Recognition. This award will be given to faculties who publish in top-tier venues of the field. 2019-2020
Dean's SRC Activity Award. The Dean's Scholarly, Research and Creativity Activity Award recognizes individual faculty members on an annual basis for outstanding scholarly, research and creative activities (SRC) achievements and impact on their disciplines 2019
IBM CAS Faculty Fellow. This awards program is an intensely competitive worldwide program, which honours exceptional faculties to collaborate with IBM on problems that are important in practice and to IBM and fundamentals to innovation in many academic disciplines and areas of study 2018
Outstanding Ph.D. Dissertation Award. The Prize will be awarded to recognize the outstanding dissertation among graduate students in the department of Computer Science and Electrical Engineering at York University. 2017
Mitacs Elevate Strategic Postdoctoral Fellowship ($55,000). The fellowship supports recent Ph.D. graduates to work in a joint research project between academia and industry. 2016-2017