ISyE Seminar Series: Maged M. Dessouky
"Models for Facilitating Ridesharing"
Maged M. Dessouky
Dean's Professor and Chair in the Daniel J. Epstein Department of Industrial and Systems Engineering
University of Southern California
About the Seminar:
Although ridesharing can provide a wealth of benefits, such as reduced travel costs, congestion, and consequently less pollution, there are a number of challenges that have restricted its widespread adoption. In fact, even at a time when improving communication systems provide real-time detailed information that could be used to facilitate ridesharing, the share of work trips that use ridesharing has decreased by almost 10% in the past 30 years. In this seminar, Dr. Dessouky presents a classification and taxonomy to understand the key aspects of ridesharing systems and models to facilitate their wide-spread use. The objective is to present a framework that can help identify key challenges in the widespread use of ridesharing and thus foster the development of effective formal ridesharing mechanisms that would overcome these challenges and promote its widespread use.
About the Speaker:
Maged M. Dessouky is a Dean's Professor and Chair in the Daniel J. Epstein Department of Industrial and Systems Engineering. His research area is transportation system optimization where he has authored over 115 refereed journal publications. His paper “Optimal Slack Time for Schedule Based Transit Operations” was awarded the INFORMS Transportation Science and Logistics Best Paper Prize. He is a Fellow of IISE and INFORMS and serves as Associate Director of METRANS, a center focused on solving important urban transportation problems. He is currently area/associate editor of Transportation Research Part B: Methodological, and Computers and Industrial Engineering, and previously served on the editorial board of Transportation Research Part E: Logistics and Transportation Review, as area editor of the ACM Transactions of Modeling and Computer Simulation, department editor of IISE Transactions, and as associate editor of IEEE Transactions on Intelligent Transportation Systems. He received his Ph.D. in Industrial Engineering from the University of California, Berkeley, and M.S. and B.S. degrees from Purdue University.
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