December 6, 2022

From November 10-11, the Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE) held its Fifth Annual CAMMSE Virtual Research Symposium. We are proud to congratulate three CEE students on winning the CAMMSE Graduate Student Presentation Competition:

Sruthi Mantri, 3rd Place

Sruthi Mantri is a fourth-year Ph.D. student working with Dr. Nicholas Lownes.  Sruthi has a master’s degree from Oklahoma State University and worked as a staff engineer for 3 years before joining the Ph.D.

Her research concentration is transportation network analysis with the concept of emerging autonomous vehicle technology. Her research focuses on the impacts of autonomous vehicles on private household vehicle ownership. Her dissertation is proposing a methodology to minimize the influence of unoccupied autonomous vehicles on the delay experienced by occupied vehicles. Sruthi won a 3rd-place award in the fifth annual virtual symposium of CAMMSE, Center for Advanced Multimodal Mobility Solutions and Education, on the topic of ‘An analysis of the impacts of Autonomous Vehicles on private household vehicle ownership in the state of Connecticut.’

Quinn Packer, 2nd Place

Quinn Packer has been a Husky for all his college career. He earned his bachelor’s in civil engineering in 2020 and his master’s in civil engineering this past May. He is now a first year PhD student working with his advisor, Dr. John Ivan researching transportation safety. During the CAMMSE symposium, Quinn took home 2nd place for his presentation of his research “Pedestrian Signal Compliance Under Concurrent and Exclusive Phasing at Traffic Signals Considering Geo-Spatial Factors."

Zheng Ren, 3rd Place

Zheng Ren is a current fourth-year PhD student working with Dr Jin Zhu. His current research is focusing on improving community resilience by investigating human mobility behaviors under disasters.

Zheng won 3rd place for his presentation titled “An Enhanced Understanding of Disaster Resilience Assessment Using Points-of-interest (POI) Visit Dataset Under a Natural Disaster.”

Read more about the competition on the CAMMSE website.