Amelia Regan

Fostering growth in knowledge systems for the future of transportation, Amelia Regan is a Professor Emerita in the Department of Computer Science at the University of California, Irvine. With a distinguished career dedicated to advancing the field of transportation systems, her research spans a diverse array of topics, including cyber-physical transportation systems and dynamic and stochastic network optimization. Her work in these areas has contributed significantly to the development of more efficient and reliable transportation networks. Amelia's expertise extends to parallel and distributed combinatorial optimization, where she has explored innovative approaches to solving complex logistical challenges. Her research in optimal contracting and on-line advertising has provided valuable insights into the economic and operational aspects of transportation systems. Additionally, she has made substantial contributions to logistics systems analysis and freight transportation planning, helping to shape the future of goods movement and supply chain management. A pioneer in the adoption of technology within the transportation sector, Amelia has investigated the application of machine learning tools for temporal-spatial data analysis, enhancing the ability to predict and manage traffic patterns. Her work in congestion pricing has offered new perspectives on managing urban traffic flow, while her research into technologies aimed at improving the safety, comfort, and convenience of pedestrians and disabled travelers underscores her commitment to inclusive and accessible transportation solutions. Throughout her career, Amelia Regan has been a passionate advocate for integrating cutting-edge technologies into transportation systems to address contemporary challenges. Her contributions continue to influence the field, inspiring new generations of researchers and practitioners to pursue innovative solutions for a more connected and efficient world.