Siji Chen
Siji Chen is a Ph.D. student in the Department of Computer Science. Her advisor is Chang-Tien Lu.
Her research focuses on decentralized swarm robots control, graphical model, uncertainty analysis, and data mining.
News for the Research Area: Urban Computing
Melike Yildiz Aktas
Melike Yildiz Aktas is a Ph.D. student in the Department of Computer Science. Her advisor is Chang-Tien Lu.
Her research interests lie in urban computing, social networks, and humanitarian logistics. She would like to contribute to the development of smart cities, playing an active role in their advancement.
Jared Clark
Jared Clark is a Ph.D. student in the Department of Statistics. He is co-advised by Leanna House and Dave Higdon.
Clark’s research focuses on building probabilistic emulators for computer models that simulate complex processes in areas, such as epidemiology. Computer models are often computationally expensive; emulators allow for computer model output to be estimated with quantifiable uncertainty.
Melissa Tilashalski
Melissa Tilashalski was a Ph.D. student in the Grado Department of Industrial and Systems Engineering. She was co-advised by Leanna House and Kimberly Ellis.
Her research focus is urban computing.
Ming Jin
Ming Jin joined Virginia Tech in 2020 as an assistant professor in Bradley Department of Electrical and Computer Engineering and is core faculty at the Sanghani Center.
Jin’s expertise is in optimization, control, and machine learning (especially reinforcement learning). His research is broadly related to trustworthy AI, cyber-physical systems, security, and human-in-the-loop decision making.
Jin’s work has also been recognized by several Best Paper Awards and media outlets (including MIT Technology Review and IEEE Spectrum). His group also won first place in the 2021 CityLearn Challenge, an international competition for reinforcement learning solutions for smart cities.
Jin received the B.Eng. Honorary degree in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology in 2012; a Ph.D. from the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley in 2017; and was a postdoctoral scholar at the Department of Industrial Engineering and Operations Research at the University of California, Berkeley from 2018 to 2020.
Mohammad Hesam Soleimani-Babakamali
Mohammad Hesam Soleimani-Babakamali is a Ph.D. student in the Charles E. Via Department of Civil and Environmental Engineering. He is advised by Ismini Lourentzou.
His research is focused on using artificial intelligence for anomaly detection with structural health monitoring (SHM) data.
Ruoxi Jia
Ruoxi Jia joined Virginia Tech in 2020 as an assistant professor in the Bradley Department of Electrical and Computer Engineering and is core faculty at the Sanghani Center.
She earned a bachelor of science degree from Peking University in 2013 and a Ph.D. in electrical engineering and computer sciences from the University of California Berkeley in 2018.
Jia’s research interest broadly spans the areas of machine learning, security, privacy, and cyber-physical systems. Her recent work focuses on building algorithmic foundations for data markets and developing trustworthy machine learning solutions.
She is the recipient of several fellowships, including the Chiang Fellowship for Graduate Scholars in Manufacturing and Engineering, the 8108 Alumni Fellowship, and the Okamatsu Fellowship. In 2017, she was selected for Rising Stars in the EECS program.
Her work has been published at professional conferences and featured in multiple media outlets.
Chih-Fang Chen
Chih-Fang Chen was a master’s student in the Department of Computer Science. His advisor was Chang-Tien Lu.
Po-Han Chen
Po-Han Chen was a master’s student in the Department of Computer Science. His advisor was Chang-Tien Lu.
Chen’s research focuses on using data from social media to help solve real-world problems.
Yi-Chun Chang
Yi-Chun Chang was a master’s degree student in the Department of Computer Science. His advisor was Chang-Tien Lu.
Chang’s research interest is in using social media analytics to detect threats.