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Amir Gandomi Sereshki

Assistant Professor of Information Systems and Business Analytics


Degrees

PHD, 2012, Ryerson University; MS, 2005, Iran University Of Sci & Tech; BS, 2003, Iran University Of Sci & Tech


Bio

Dr. Amir Gandomi is an Assistant Professor in the Department of Information Systems and Business Analytics at Frank G. Zarb School of Business. Prior to joining Hofstra, he was an Assistant Professor in Ted Roger's School of Information Technology Management, Ryerson University.

Dr. Gandomi's research lies at the intersection of marketing, operations research, and IT. He is specifically focused on the applications of  Big Data analytics in the field of marketing. His research has appeared in leading journals such as OmegaThe International Journal of Information Management, and Computers & Industrial Engineering. He secured a total of $62,000 in research grants for projects in the area of marketing analytics during 2015-2017 in Canada. For the complete list of his publication, please refer to Dr. Gandomi's Google Scholar Profile.

One of his recent publications titled Beyond the hype: Big data concepts, methods, and analytics was recognized as a “Hot Paper” by Web of Science in 2016 as it received enough citations to place it in the top 0.1% of papers in the field of Social Sciences. This article has been the most downloaded and most cited article of the journal since 2016.

Dr. Gandomi has extensive experience in design and development of Business Analytics degree programs and curriculum. His teaching experience includes courses on Business Intelligence and AnalyticsText Mining and Sentiment AnalysisDecision AnalysisBusiness StatisticsSimulation, and Operations Management at undergraduate and graduate levels.


Teaching Interests

Business Intelligence and Analytics, Text Mining and Sentiment Analysis, Decision Analysis, Business Statistics, Simulation, Operations Management

Research Interests

Big data analytics, OR/Marketing Interface

Recent Courses Taught

Course Title Level
BAN 101 FUNDAMENTALS OF BUS ANALYTICS Undergraduate
BAN 122 INTERMEDIATE BUSINESS STATS Undergraduate
IT 014 INTRO COMPTR/CONCPT SOFTWARE Undergraduate
IT 204 SIMULATION IN BUISINESS Graduate
IT 309 RESEARCH SEMINAR IN INFO TECH Graduate