Fazel Keshtkar

Assistant Professor
Computer Science, Mathematics and Science
PhD, Computer Science, University of OttawaMS, Computer Science, University of Ottawa
Dr. Fazel Keshtkar is an Assistant Professor at the Division of Department of Computer Science, Mathematics and Science, St John's University, since 2016. Prior to join St John’s U, Dr. Keshtkar was an Assistant Professor at Dept of Computer Science at Southeast Missoiru State University from 2013 to 2016. Fazel received his Ph.D and Master degrees in Computer Science from University of Ottawa, Canada, in 2011 and 2007, respectively. Prior, Fazel spent more than two years (March 2011-Aug 2013) as a Research Scientist Fellow in the Institute for Intelligent Systems (IIS) at the University of Memphis working with Prof. Art Graesser in Intelligent Tutoring Systems. Dr. Keshtkar led in developing AutoMentor’s Natural Language Processing/Generation module and Question Generation for Epistemic Educational Game system. Dr. Keshtkar’s research interests span the fields of Artificial Intelligent (AI), Natural Language Processing and Generation (NLP/NLG), Computational Linguistics (CL), Machine Learning, and Intelligent Tutoring Systems (ITS). Dr. Keshtkar is organizer and co-chair of Applied Natural Language Processing Special Track at Florida International Conference in Artificial Intelligent since 2014. Fazel served as a Committee Member for several international Conferences, such as the ACL/NNACL/EACL/Canadian-AI/FLIARS/QG/ITS/AIED/EDM on Natural Language Processing and ITS. He also is the author/co-author and reviewer of articles and papers in highly reputed journals and conferences.

Teaching Interests

CUS 640: Natural Language Processing CUS 615: Data Mining and Predictive Modeling II CUS 620: Programming for Data Analytics (Python) CUS 625: Data Visualization CUS 1151: Advanced Data Structures & Algorithms CUS 1115/1116: Fund. Prog I/II(Java)

Research Interests

Artificial Intelligence (AI), Natural Language Processing (NLP), Natural Language Generation (NLG), Understanding Machine Learning, Data Mining, Educational Data Mining (EDM), Information Retrieval (IR) and Extraction (IE)

Courses Taught

CUS
615
DATA MINING & PREDICT MODEL II
CUS
620
INTRO PROG FOR ANALYTICS
CUS
625
COMPUTER VISUAL APPLICATION
CUS
640
NATURAL LANGUAGE & TEXT PROCES
CUS
1102
SOFTWARE APPLICATION
CUS
1115
COMPUTER PROG FUND I
CUS
1116
COMPUTER PROG FUND II
CUS
1126
INTRO TO DATA STRUCTURES
CUS
1151
ADVANCED DATA STRUCTURES
CUS
1166
SOFTWARE ENGINEERING
CUS
1194
SPEC TOPICS IN COMPUTER SCI