Mohammed Zaki

Professor and Department Head

About

Mohammed J. Zaki is a Professor and Department Head of Computer Science at RPI. He received his Ph.D. degree in computer science from the University of Rochester in 1998. His research interests focus on developing novel data mining and machine learning techniques, especially for applications in text mining, social networks, bioinformatics and personal health. He has around 300 publications (and 6 patents), including the Data Mining and Machine Learning textbook (2nd Edition, Cambridge University Press, 2020). He is the founding co-chair for the BIOKDD series of workshops. He is currently an associate editor for Data Mining and Knowledge Discovery, and he has also served as Area Editor for Statistical Analysis and Data Mining, and as Associate Editor for ACM Transactions on Knowledge Discovery from Data, and Social Networks and Mining. He was the program co-chair for SDM'08, SIGKDD'09, PAKDD'10, BIBM'11, CIKM'12, ICDM'12, IEEE BigData'15, and CIKM'18, and he is co-chairing CIKM'22. He is currently serving on the Board of Directors for ACM SIGKDD. He was a recipient of the National Science Foundation CAREER Award and the Department of Energy Early Career Principal Investigator Award, as well as HP Innovation Research Award, and Google Faculty Research Award. His research is supported in part by NSF, DARPA, NIH, DOE, IBM, Google, HP, and Nvidia. He is a Fellow of the IEEE and a Fellow of the ACM.

Education & Training

Ph.D., Computer Science, July 1998, University of Rochester, Rochester, New York

M.S., Computer Science, May 1995, University of Rochester, Rochester, New York

B.S., Computer Science and Mathematics (dual), May 1993, Angelo State University, San Angelo, Texas

Research

Primary Research Focus
Data Mining, Machine Learning, Graph Learning, Bioinformatics, Personal Health
Other Focus Areas
  • Machine Learning
  • Data Mining
  • Bioinformatics
  • Text Mining
  • Graph Mining and Learning

Publications

The following is a selection of recent publications in Scopus. Mohammed Zaki has 186 indexed publications in the subjects of Computer Science, Engineering, and Mathematics.

Bowen Wang, Zehai Wang, Atharva A. Poundarik, Mohammed J. Zaki, Richard S. Bockman, Benjamin S. Glicksberg, Girish N. Nadkarni, Deepak Vashishth
Journal of Clinical Endocrinology and Metabolism
, 107
, 2022
, pp.E1390-E1401
.
Da Yan, Catia Pesquita, Carsten Görg, Jake Chen, Mohammed J. Zaki
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, 2022
, pp.4910-4911
.
Md Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, 2022
, pp.655-665
.
Da Yan, Steve Qin, Debswapna Bhattacharya, Jake Chen, Mohammed J. Zaki
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, 2021
, pp.4175-4176
.
Yu Chen, Ananya Subburathinam, Ching Hua Chen, Mohammed J. Zaki
WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining
, 2021
, pp.544-552
.
Jonathan J. Harris, Ching Hua Chen, Mohammed J. Zaki
ACM Transactions on Computing for Healthcare
, 2
, 2021
.
Diya Li, Mohammed J. Zaki, Ching Hua Chen
Proceedings - 2021 IEEE 37th International Conference on Data Engineering Workshops, ICDEW 2021
, 2021
, pp.20-23
.
Eman Maghawry, Tarek F. Gharib, Rasha Ismail, Mohammed J. Zaki
IEEE Access
, 9
, 2021
, pp.153266-153275
.
Vipula Rawte, Aparna Gupta, Mohammed J. Zaki
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, 12591 LNAI
, 2021
, pp.77-91
.
Diya Li, Mohammed J. Zaki
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, 2020
, pp.1719-1727
.

View All Scopus Publications

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