Dr. Manos Papagelis (Data Mining Lab) is an Associate Professor of Electrical Engineering and Computer Science (EECS) at York University. His research area is at the intersection of data science and machine learning, with particular interest in data mining, graph mining, big data analytics, mobility analytics, databases and knowledge discovery. Dr. Papagelis holds a PhD in Computer Science from the University of Toronto and a M.Sc. and a B.Sc. in Computer Science from the University of Crete, Greece. Before joining York University, he was a postdoctoral research scholar at the University of California, Berkeley. In the past, he has worked at Yahoo! Labs, Barcelona as a research intern and at the Institute of Computer Science, FORTH, Greece as a research fellow. His research has appeared in ACM trans. on knowledge discovery from data (ACM TKDD) and IEEE Trans. on knowledge and data engineering (IEEE TKDE), he has filed three U.S. patent applications and is the software architect of two large-scale online systems - a conference management system and a system for socio-technical analysis of green buildings. He has lectured at the University of California, Berkeley and at the University of Toronto.
- Data Mining
- Graph Mining
- Machine Learning
- Big Data Analytics
- Mobility Analytics
- Knowledge Discovery
A full list of publications can be found on my Google Scholar profile.
Selected Recognitions (Honors & Awards)
Lassonde Educator of the Year Award (2021)
IEEE MDM 2020 Best Paper Award (2020)
IEEE MDM 2018 Best Paper Award (2018)
ACM CIKM 2017 Outstanding Reviewer Award (2017)
Elsevier Engineering Applications of AI Top Cited Article 2005 – 2010 Award (2011)