Dr. Mina Sartipi was the recipient of the 2023 “Thomas B. Ballard Advanced Energy Leadership Award” presented by the Tennessee Advanced Energy Business Council.
Federal grant to fund added insight for Chattanooga’s Smart Corridor
The Federal Highway Administration (FHWA) has awarded $1.1 million for research to enhance detection of “vulnerable road users” within the Smart City Corridor overseen by the Center for Urban Informatics and Progress (CUIP) at UTC. In addition to the funding awarded through the FHWA “Exploratory Advance Research” program, UTC and research partners will invest $300,000 to enable additional technology along the M.L. King Boulevard site to detect “vulnerable road users”—essentially, anyone not traveling inside an enclosed vehicle.
Dr. Chandra Ward named CUIP director of community engagement
University of Tennessee at Chattanooga Assistant Professor of Sociology Chandra Ward has taken on the added role of director of community engagement for the University’s Center for Urban Informatics and Progress (CUIP).
Smart City changemaker
From University of Tennessee at Chattanooga Magazine: When Dr. Mina Sartipi was in the second grade, she began tutoring other children in her neighborhood and discovered a lifelong passion: The classroom. “Teaching has always been my passion,” she said. “As a university faculty member, I train our students and the next-generation workforce. Our students are the workforce behind every project, result—everything.”
UTC’s Mina Sartipi discusses Smart City research with U.S. Senate Committee on Commerce, Science and Transportation
Dr. Mina Sartipi, executive director of the UTC Research Institute and a Guerry Professor of Computer Science and Engineering, was one of just five distinguished university researchers recently invited to discuss their work with the U.S. Senate Committee on Commerce, Science and Transportation and other members of the U.S. Congress.
UTC among coalition awarded NSF grant funding to outline a statewide mobility strategy
The University of Tennessee at Chattanooga is one of 90 organizations within a statewide coalition awarded National Science Foundation funding through its Regional Innovation Engines program. The coalition, Advancing Technology-Enabled Mobility Solutions (ATEMS-TN), is an alliance of academics, industry and technical societies that will put the $1 million “Type-1” NSF award toward outlining a statewide transportation mobility strategy to position Tennessee to compete for up to $160 million in federal funding awarded in 2025 to implement that strategy.
University announces launch of the UTC Research Institute
The University of Tennessee at Chattanooga is establishing the UTC Research Institute as a strategic initiative launched to pursue increased research funding, interdisciplinary collaboration across campus, and support for community and local industry priorities. The Research Institute will be led by Dr. Mina Sartipi, founding director of the UTC Center for Urban Informatics and Progress (CUIP) and Guerry Professor of Computer Science and Engineering.
CUIP and CO.LAB to partner in sustainable mobility research
A memorandum of understanding between UTC and CO.LAB provides students and scientists with the University’s Center for Urban Informatics and Progress (CUIP) with unprecedented opportunities to apply today’s knowledge in Smart City research to find solutions to society-scale challenges.
High speed progress: UTC hails EPB’s 25 gig internet upgrade
In August, EPB announced it is taking its fiber-optic network from the 10-gig capacity it established in 2015 up to 25 gigs. The goal is expansion across the EPB coverage area with good results all over the city, and what’s good for Chattanooga is expected to be very good for UTC and its urban-environment campus.
Largest federal DOT grant in UTC history to make downtown Chattanooga an electric vehicle testbed
The winning Chattanooga proposal is for a networked system that will enable electric vehicle drivers to more readily locate charging stations. Charging opportunities will be customized for drivers as a result of the system recognizing the charge level of individual electric vehicles, volume and pace of traffic and electric grid power demand to recommend charging stations and types by locations.