Start Year at LSUS
1988
Terminal Degree/Yr
PhD/1988
Office Location
BE 305
318-797-5025

Biography

Dr. Binshan Lin is the BellSouth Endowed Professor in College of Business at Louisiana State University Shreveport (LSUS).  He received Ph.D. from the Louisiana State University in 1988. Currently he serves as Director of Research in College of Business at LSUS.Dr. Lin is a nine-time recipient of the Outstanding Faculty Award at LSUS and the recipient of the LSUS Provost’s Award in 2022. He received the Computer Educator of the Year by the International Association for Computer Information Systems (IACIS) in 2005, Ben Bauman Award for Excellence in IACIS 2003, IACIS Directors’ Award in 2012, Distinguished Service Award at the Southwest Decision Sciences Institute (SWDSI) in 2007, Outstanding Educator Award at the SWDSI in 2004, and Emerald Literati Club Awards for Excellence in 2003.Dr. Lin has published over 290 research articles in refereed journals. His research interests include Business Intelligence, Data Analytics, Decision Sciences, Informatics, Machine Learning and Operations Management.  Currently he serves as Editor-in-Chief of Expert Systems with Applications (Impact Factor 2022 of 8.5 and CiteScore 2022 of 12.6) and Editor-in-Chief of Machine Learning with Applications.He served as President of SWDSI (2004-2005), Program Chair of IACIS Pacific 2005 Conference, Program Chair of Management International Conference (MIC) 2006, General Chair of MIC Conference (2007 and 2008). In addition, Dr. Lin serves as Program Chair of Technology Innovation and Industrial Management (TIIM) International Conference 2009, Conference Director of TIIM Conference (2010-2016, 2020), and Conference Director of MakeLearn International Conference (2012-2016, 2020). Dr. Lin also served as a vice president (2007-2009; 2010-2012) of Decision Sciences Institute (DSI). Currently he serves as President of Southeast Decision Sciences Institute (SEDSI) 2023-2024.

Degrees

Research Interests

Business Intelligence, Data Analytics, Decision Sciences, Informatics, Machine Learning and Operations Management

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