Amelia Regan

Amelia Regan’s research interests include cyber physical transportation systems, dynamic and stochastic network optimization, parallel and distributed combinatorial optimization, optimal contracting, on-line advertising, logistics systems analysis, freight transportation planning, technology adoption in transportation, machine learning tools for temporal-spatial data analysis, congestion pricing, and technologies to improve the safety, comfort and convenience of pedestrians and disabled travelers.

Since 1997, her research has been supported various sources, including the National Science Foundation, the Transportation Research Board and JB Hunt Inc., and has been published in more than 150 refereed journal articles and conference proceedings papers in Journals including (among others) IEEE Transactions on Intelligent Transportation Systems, IEEE Network, IEEE Transactions on Computers, IEEE/ACM Transactions on Networking, Transportation Research (A, B, C and E), Transportation Science, Operations Research and INFOR. I received an NSF CAREER award in 1999.

Her first appointment at UCI was in the Department of Civil and Environmental Engineering but she moved after eight years to the Department of Computer Science. She was the Associate Dean for Student Affairs in the Bren School of Information and Computer Sciences from 2006-2009.

Regan has also taught short courses at the Athens University of Business and Economics and the Technical University of Denmark.

Prior to joining the Ph.D. program at the University of Texas, she worked as a research engineer, software engineer and operations research analyst for the Association of American Railroads and United Parcel Service.

Regan served on a four year National Research Council Study to Assess Fuel Economy Technologies for Medium- and Heavy-Duty Vehicles Phase II from March 2013 to February 2017. This was an exceptionally interesting study examining how new and existing fuels and new and existing technologies for trucks, buses and vocational vehicles, as well as related governmental rule-making efforts, will impact future fuel consumption for this sector and its impact on the environment.

Education

B.A.S., Systems Engineering, University of Pennsylvania
M.S., Applied Mathematics, Johns Hopkins University
M.S.E., Ph.D., Civil (Transportation Systems) Engineering, University of Texas