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Headshot of Dr. Mehdi Kargar

Dr. Mehdi Kargar

Associate Professor
DepartmentInformation Technology Management
EducationBSc, MSc, PhD
OfficeTRS 2-026
Phone416-979-5000 x 557671
https://people.ryerson.ca/kargar/

Overview

Dr. Mehdi Kargar is an Associate Professor at Ted Rogers School of Information Technology Management at Toronto Metropolitan University (TMU) and an adjunct assistant professor at the Department of Management Sciences at the University of Waterloo (since 2017). He is also a member of SOSCIP Scientific Advisory Committee representing TMU (since 2019). From 2016 to 2018, he was an Assistant Professor of Computer Science at the University of Windsor. His research concerns data management, business intelligence, big data analytics, and sustainability. He is awarded multiple research grants since 2017, including NSERC DG and SOSCIP TalentEdge. He received his Ph.D. in Computer Science from York University (2009-2013). He is specifically interested in designing and developing search systems over enterprise databases for business users. His research is published in data management top-tier venues like VLDBJ, PVLDB, ACM SIGMOD, IEEE ICDE, IEEE TKDE, IP&M, ACM CIKM and SIAM SDM. He holds a M.Sc. and a B.Sc. in Software Engineering from Sharif University of Technology in Iran and was ranked 7th in Iranian National Scientific Olympiad for university students in Computer Engineering in 2006.

Research Interests

Data Management, Business Intelligence, Big Data Analytics, Sustainability

Google Scholar Profile  (external link, opens in new window) 
Research Publications
Robust Keyword Search in Large Attributed Graphs, S. Bryson, H. Davoudi, L. Golab, M. Kargar, Y. Lytvyn, P. Mierzejewski, J. Szlichta, and M. Zihayat, Information Retrieval Journal, 23: 502–524, 2020.
Effective Keyword Search over Weighted Graphs, M. Kargar, L. Golab, D. Srivastava, J. Szlichta and M. Zihayat, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
Compact Group Discovery in Attributed Graphs and Social Networks, A. Khan, L. Golab, M. Kargar, J. Szlichta and M. Zihayat, Information Processing & Management Journal (IP&M), 57(2): 102054, 2020.
User Community Detection via Embedding of Social Network Structure and Temporal Content, H. Fani, E. Jiang, E. Bagheri, F. Al-Obeidat, W. Du, and M. Kargar, Information Processing & Management Journal (IP&M), 57(2): 102056, 2020.
Effective and Complete Discovery of Bidirectional Order Dependencies via Set-based Axioms, J. Szlichta, P. Godfrey, L. Golab, M. Kargar and D. Srivastava, The VLDB Journal (VLDBJ): 27(4): 573--591, 2018.
Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization, J. Szlichta, P. Godfrey, L. Golab, M. Kargar and D. Srivastava, Proceedings of the VLDB Endowment (PVLDB), 10(7): 721-732, 2017.
Finding Top-k r-cliques for Keyword Search from Graphs in Polynomial Delay, M. Kargar and A. An., Knowledge and Information Systems (KAIS), 43(2): 249-280, 2015.
Efficient Duplication Free and Minimal Keyword Search in Graphs, M. Kargar, A. An, and X. Yu., IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(7): 1657-1669, 2014.
  • Mitacs RTA, AI-Assisted Search over Large Attributed Graphs, PI, $6,000, 2020-2021.
  • Google Cloud research credit, Ranking Answers to Search Queries over Graphs using Machine Learning ,PI, $5,000 USD, 2020-2021.
  • Mitacs Accelerate with BuyProperly, Predicting the Fair Market Value of a Real Estate Asset, Co-PI, $10,000, 2020.
  • NSERC Discovery Grant, Efficient and Effective Search over Graph-like Databases, PI, $100,000, 2017-2022.
  • NSERC Engage Grant with Warranty Life, A Scalable Search System over e-Commerce Databases, PI, $51,800, 2018-2019.
  • NSERC Engage Grant with IBM Canada, Distributed Keyword Search over Graph Databases using IBM Analytics Platform, PI, $55,000, 2017-2018.
  • SOSCIP-TalentEdge with IBM Canada, Distributed and Scalable Search in Enterprise Databases, Co-PI, $217,000, 2017-2019.
  • PhD, Computer Science, York University, Canada
  • MSc, Software Engineering, Sharif University of Technology, Iran
  • BSc, Software Engineering, Sharif University of Technology, Iran

Undergraduate

Course Code Course Title
ITM 618 Business Intelligence and Analytics
ITM 102 Business Information Systems I
ITM 760 Big Data Analytics
ITM 500 Data and Information Management
  • TRSM Research Recognition Award, Ted Rogers School of Management, Ryerson University, 2020.
  • TRSM Outstanding Research Award (four times), Ted Rogers School of Management, Ryerson University, 2018–2020.
  • Highest teaching evaluation in both graduate and undergraduate courses, School of Computer Science, University of Windsor, Winter 2017.
  • Nominated for Eshrat Arjomandi award for outstanding Ph.D. dissertation (best Ph.D. thesis award), Department of Electrical Engineering and Computer Science, York University, Fall 2013.
  • SIAM Travel Award for Graduate Students to attend International Conference on Data Mining, Austin, USA, 2013.
  • Graduate Scholarship, York University, Toronto, Canada, 2009–2013.
  • Ranked 7th in scientific Olympiad for university students in Software Eng., Iran, 2006.
  • Ranked 9th in graduate entrance exam in Software Eng., Iran, 2006.
  • Ranked 39th (top 0.01%) in nationwide university entrance exam for engineering and applied mathematics among more than 400,000 participants, Iran, 2001.