Srinivas S. Pulugurtha, Ph.D., P.E., F.ASCE
Chair, Civil Engineering
Professor, Civil Engineering
sp@olemiss.edu
662-915-5473
106 Carrier Hall, University, MS 38677
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Experience
University of Mississippi
Chair and Professor, Civil Engineering, 2024-present
The University of North Carolina at Charlotte
Co-Director, Charlotte Aviation Innovation & Research (AIR) Institute, 2023-2024
Affiliate Faculty, School of Data Science, 2022-2024
Research Director, Civil & Environmental Engineering, 2018-2024
Professor, Civil & Environmental Engineering, 2014-2024
Director, Infrastructure, Design, Environmental and Sustainability Center, 2013-2023
Graduate Program Director, Civil & Environmental Engineering, 2012-2018
Associate Professor, Civil & Environmental Engineering, 2009-2014
Assistant Director & Senior Research Associate, Center for Transportation Policy Studies, 2005-2017
Assistant Professor, Civil & Environmental Engineering, 2005-2009
University of Nevada, Las Vegas
Assistant Director, Transportation Research Center, 2002-2005
Adjunct Faculty, Environmental and Construction Engineering, 2002-2005
Assistant Research Professor, Transportation Research Center, 1998-2005
Education
University of Nevada, Las Vegas – Ph.D., Civil Engineering with emphasis in Transportation Engineering, 1998
Indian Institute of Technology Kanpur – M.Tech., Civil Engineering with emphasis in Transportation Engineering, 1995
Acharya Nagarjuna University – B.Tech., Civil Engineering, 1992
Research interests
Dr. Pulugurtha has worked in diverse fields of transportation. They include traffic operations and safety, alternative modes of transportation, Intelligent Transportation Systems (ITS) and connected and automated vehicles (CAVs), transportation system planning, Geographic Information Systems (GIS) applications, data analytics and visualization, Internet applications, artificial intelligence (AI) techniques, and operations research applications. His experience and knowledge in computer modeling and adaptation of emerging technologies are germane to the development of tools and techniques for quantitative analysis of transportation systems to support decision-making.