Leila Hajibabai

Assistant Professor

 
Leila Hajibabai received her B.S. in civil engineering in 2004 from K.N. Toosi University of Technology in Tehran, Iran. She earned her first M.Sc. in civil engineering in 2006 from Tehran University in Tehran, Iran and her second M.Sc. degree in industrial engineering in 2013 from the University of Illinois at Urbana-Champaign. She has been an assistant professor in the Department of Civil Engineering at the State University of New York at Stony Brook since January 2017. Prior to this position, she was a clinical assistant professor at Washington State University starting in January 2015.

She is a member of the Institute for Operations Research and the Management Sciences (INFORMS). She has actively participated in various professional activities of the Transportation Network Modeling Standing Committee of Transportation Research Board (TRB) of the National Academies of Science, Engineering, and Medicine and Transportation Science and Logistics of INFORMS. Hajibabai is a member of the TRB’s Emerging Technologies in Network Modeling subcommittee, the Standing Committee on Maintenance Equipment and the Section on Maintenance and Preservation. She is a co-chair of the Operations and Preservation Group of the TRB Young Members Council.

Education

Ph.D. 2014

Doctor of Philosophy in Civil Engineering

University of Illinois at Urbana-Champaign

MSIE 2013

Master of Science in Industrial Engineering

University of Illinois at Urbana-Champaign

MSCE 2006

Master of Science in Civil Engineering

University of Tehran

BSCE 2004

Bachelor of Science in Civil Engineering

K.N.Toosi University of Technology

Research Description

Leila Hajibabai’s research interests lie in the areas of logistics systems optimization and transportation planning. Her main emphasis is on resilient and economic city logistics, transportation asset management, and sustainable infrastructure development. She utilizes emerging technologies and analyzes the integrated technical and social aspects of their application to transportation services in smart connected communities. Hajibabai’s research group develops robust models to realistically represent complex problems in transportation systems both in tactical and operational levels that aim to improve planning, design, and operation of such systems under deterministic as well as stochastic conditions. Her research provides innovative and practical solutions to complex logistics problems at various spatial and temporal scales.