SHAKIL AHMED – LECTURER obtained his Ph.D. in Electrical Engineering from Iowa State University. His research endeavors encompass a range of captivating domains, including the exploration of 5G/6G technologies, the intricacies of edge networks, the world of vehicle-to-everything communication, the intricacies of edge caching and computing, the synergy between machine learning and wireless networks, as well as the integration of wireless networks for distributed and on-device machine learning.
LIYI LI – ASSISTANT PROFESSOR received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2020. He was a Victor Basili Postdoc at the Computer Science Department at the University of Maryland, College Park from 2021-2023. His Postdoc advisors were Dr. Michael Hicks and Dr. Xiaodi Wu. His research focuses on using formal method and programming language tools to improve the security, reliability, and availability of software. During his career, he has published many refereed conference and journal papers. He also likes to interact with talented students and mentors PhD students towards successful PhD careers.
YANG LI – ASSISTANT PROFESSOR received his Ph.D. and Master's degrees from Carnegie Mellon University in 2020 (advisor: Professor José M. F. Moura), a Master's degree from The University of Texas at Austin in 2013, and his Bachelor's degree from Tsinghua University in 2011. Before joining Iowa State University, he was a research scientist at Meta and a researcher at Microsoft.
CLAY STEVENS – ASSISTANT PROFESSOR received his Ph.D. in Computer Science at the University of Nebraska-Lincoln, with an emphasis in software engineering. Prior to starting his Ph.D., Clay spent more than 13 years in industry as a professional software engineer and architect. His research aims are to scientifically study how software engineers and architects work in practice and to improve the scalability of rigorous formal analysis tools to enable their use on large-scale, real-world problems.
BOWEN WENG – ASSISTANT PROFESSOR received his Ph.D. from The Ohio State University. Prior to joining the department, he worked as a research scientist at Transportation Research Center (TRC) Inc. on assignment to the National Highway Traffic Safety Administration (NHTSA), where he led the research and technical development of projects related to safety testing and performance evaluation of Automated Driving Systems (ADS). His research interests center around safety testing and safe autonomy, with applications to intelligent vehicles, legged robots, and multi-agent systems.
LIN YAN - ASSISTANT PROFESSOR received her Ph.D. in computer science from the University of Utah. She was a postdoctoral fellow at the Environmental Science & Mathematics and Computer Science Division at Argonne National Laboratory prior to joining the department. Her research interests include topological data analysis and visualization. Her recent work focuses on problems involving large and complex forms of data by combining topological, statistical data analysis, machine learning, and visualization techniques.