Mohammed J. Zaki
Scholar

Mohammed J. Zaki

Google Scholar ID: UmwJklEAAAAJ&hl=zh-TW&oi=sra
Professor & Head, Computer Science Department, RPI
Data MiningMachine LearningGraph MiningPersonal HealthBioinformatics
Citations & Impact
All-time
Citations
9,472
 
H-index
43
 
i10-index
110
 
Publications
20
 
Co-authors
104
list available
Resume (English only)
Academic Achievements
  • Has around 300 publications (and 6 patents), including the textbook 'Data Mining and Machine Learning' (2nd Edition, Cambridge University Press, 2020); His research has won several best paper awards and nominations, including the EDBT'24 Test of Time Award; Recipient of the National Science Foundation CAREER Award, Department of Energy Early Career Principal Investigator Award, HP Innovation Research Award, and Google Faculty Research Award.
Research Experience
  • Department Head of Computer Science at RPI; Co-director for the NSF IUCRC Center for Research Towards Advancing Financial Technologies (CRAFT); Founding co-chair for the BIOKDD series of workshops; Served as associate editor for several journals including Data Mining and Knowledge Discovery, Statistical Analysis and Data Mining, ACM Transactions on Knowledge Discovery from Data, and Social Networks and Mining; Program co-chair for SIGKDD, SDM, ICDM, PAKDD, BIBM, IEEE BigData, and CIKM conferences; Served on the Board of Directors for ACM SIGKDD.
Education
  • Received his Ph.D. degree in computer science from the University of Rochester in 1998.
Background
  • Professor and Department Head of Computer Science, with research interests focusing on novel data mining and machine learning techniques, particularly for learning from graph-structured and textual data, with applications in bioinformatics, personal health, and financial analytics.
Miscellany
  • His research is supported in part by NSF, DARPA, NIH, DOE, IBM, Google, HP, and Nvidia; He is a Fellow of the IEEE, ACM, AAAS, and SIAM.