New Ph.D. Students Join iUTS

iUTS welcomes two new Ph.D. students: Peeratach (Chris) Ritthikarn and Zepu Wang. Chris Ritthikarn is a Ph.D. student in the Department of Industrial and Systems Engineering (ISE) and joined the iUTS lab in Winter 2024. His research interests lie at the intersection of optimization tools and their applications in transportation networks, such as the EV station allocation problem. Before enrolling at UW, he earned a B.S. degree in Mechanical Engineering from the University of Rochester and an M.S. degree in Management Science and Engineering from Columbia University. Chris then worked as a research intern at MPI, where he focused on combinatorial optimization and matching problems. In his free time, he enjoys soccer, Formula One, as well as history and cooking. Zepu Wang is a first-year Ph.D. student in the iTUS lab. His research interests include time series analysis and spatiotemporal data mining, with a particular focus on machine learning and deep learning. He holds a Bachelor’s degree in Data Science from Duke Kunshan University in China and a Master’s degree in Data Science from the University of Pennsylvania. In his free time, he enjoys playing board games, working out, swimming, and hiking. Welcome both Chris and Zepu!

Congratulations to Dr. Dan McCabe

iUTS Ph.D. student Dan McCabe successfully defended his dissertation research on “ Computational Tools for Battery-Electric Bus Systems: from Infrastructure Planning to Daily Operations ” on August 02, 2024. Congratulations to Dr. McCabe!

iUTS’ Multiscale Traffic Control Algorithms Tested on Mcity 2.0 Mixed Reality Testbed

iUTS faculty and students collaborated with Mcity staff and students to test iUTS’ multiscale traffic control models and algorithms, in particular the signal-vehicle coupled control (SVCC) algorithm, on July 10th, in the Mcity 2.0 mixed reality testbed. Mcity 2.0 provides remote access APIs to integrate iUTS’ algorithms with Mcity hardware systems (CAVs, signal controllers) and digital infrastructure (digital maps, simulation models, data center) and a visualization tool to monitor the testing performance.

SVCC Field Testing in Mcity 2.0 Mixed Reality Testbed on July 10th, 2024

More details about the field testing can be found here.

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