ICON Panel: A Meeting with New ICON Faculty (2021)

Event Intro: In this panel, Mahsa Ghasemi (ECE), Abolfazl Hashemi (ECE), Junjie Qin (ECE), Ahmed H. Qureshi (CS), and Yu She (IE) (five new faculty members at Purdue) will introduce their research and share their perspectives. 

Schedule of the Event:  3:30pm-5:00pm 

Panelists:

Mahsa Ghasemi is an Assistant Professor of Electrical and Computer Engineering at Purdue University. She received her Ph.D. degree in Electrical and Computer Engineering from The University of Texas at Austin. Her research focuses on theoretical and foundational advancements enabling the design of competent, autonomous systems that co-exist with humans in our complex world, empower them, and are socially, ethically, and economically beneficial. The research problems she is interested in include active learning and control, human-robot interaction, and trustworthy artificial intelligence.

Junjie Qin is an Assistant Professor in the School of Electrical and Computer Engineering at Purdue University. Before joining Purdue, he was a postdoctoral researcher at UC Berkeley, working with Prof. Kameshwar Poolla and Prof. Pravin Varaiya. Junjie obtained a Ph.D. degree in Computational and Mathematical Engineering (2018) from Stanford University, where he also received an M.S. degree in Civil and Environmental Engineering (2011) and an M.S. degree in Statistics (2017). His research interests include electric energy systems and transportation networks. He has been awarded the 2020 O. Hugo Schuck Best Paper Award by the American Automatic Control Council, the Best Student Paper Award at the 23rd IEEE International Conference on Intelligent Transportation Systems, the Best Student Paper Finalist at the 55th IEEE Conference on Decision and Control, and the Satre family fellowship on energy and sustainability.

Ahmed H. Qureshi is an Assistant Professor in the Department of Computer Science at Purdue University, where he directs the Cognitive Robot Autonomy and Learning (CoRAL) Lab. His group performs fundamental and applied research in machine learning, computer vision, and artificial intelligence to design and develop intelligent robotic systems. His work touches on various problems, including dextrous manipulation and control, mobile navigation, human-robot collaboration, autonomous driving, and healthcare. Previously, he received a B.S. in Electrical Engineering from NUST, Pakistan, an M.S. in Engineering from Osaka University, Japan, and a Ph.D. in Intelligent Systems, Robotics, and Control from the University of California San Diego.

Yu She is an Assistant Professor at Purdue University School of Industrial Engineering. Prior to that, he was a postdoctoral researcher in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. He earned his Ph.D. degree in the Department of Mechanical and Aerospace Engineering at the Ohio State University in 2018. His research, at the intersection of mechanical design, sensory perception, and dynamic control, explores human-safe collaborative robots, soft robotics, and robotic manipulation. He was a recipient of the Best Paper Award Honorable Mention for the 2020 Journal of Mechanisms and Robotics, the Best Paper Finalist at the 2020 Robotics: Science and Systems (RSS), the Best Paper Award at the 2018 ASME Dynamic Systems & Control Conference (DSCC), and the Best Paper Finalist at the 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Abolfazl Hashemi is an Assistant Professor of Electrical and Computer Engineering at Purdue University. His research goal is to enhance the performance and capabilities of the networked and collaborative learning systems characterized by limited resources and data scarcity. Before joining Purdue, Abolfazl finished his postdoctoral and Ph.D. studies at UT Austin. Abolfazl was a recipient of the Iranian national elite foundation fellowship and a best student paper award finalist at the 2018 American Control Conference. 

Panel Video: