Bijaya Adhikari is an Assistant Professor in Computer Science at the University of Iowa. He received his PhD from Virginia Tech, a master's degree in computer science from Virginia Tech and a bachelor's degree from Vistula University in Warsaw, Poland. He works at the intersection of many important domains like epidemiology, critical infrastructure and AI/ML. He builds new algorithms and deep learning architectures incorporating domain knowledge to solve real challenging problems (e.g. his method had the best performance in the HHS1 region in the CDC flu forecasting challenge, his algorithms are in production at Walmart/Amazon etc). He has published at both top data mining and domain-specific venues (SIGKDD, ICDM, WWW, SDM, PLoS Computational Biology - his paper was selected by the editors to be featured on the PLOS Complexity channel as well). He has also won multiple awards from CS@VT (Pratt Fellowship), travel awards etc.
Guanpeng Li is an Assistant Professor in Computer Science at the University of Iowa. He was most recently a Postdoc at UIUC. He received his PhD from the University of British Columbia (UBC), and a B.ASc. in Electrical and Computer Engineering from UBC in 2014. His research interest is in the area of system dependability. He focuses on building cost-effective fault-tolerant applications and published across multiple reputed peer-reviewed venues, including IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), and International Conference for High-Performance Computing, Networking, Storage and Analysis (SC).
J. Garrett Morris
J. Garrett Morris is an Assistant Professor in Computer Science at the University of Iowa. Prior, he was an assistant professor in the department of Electrical Engineering and Computer Science at the University of Kansas. He received his Ph.D. from Portland State University in Oregon, and post-doctoral training at the University of Edinburgh, Scotland. His research focuses on the development of type systems for higher-order functional programming languages, with the twin aims of improving expressiveness and modularity in high-level programming and supporting safe concurrent, low-level, and effectful programming. His work has regularly appeared in the top venues for programming languages research, including POPL and ICFP, and he has served on the program committees of top programming language conferences including ICFP and ESOP.
Supreeth Shastri is an Assistant Professor in Computer Science at the University of Iowa. He was most recently a Postdoctoral Fellow at the University of Texas at Austin hosted by Prof. Vijay Chidambaram. He received his PhD from the University of Massachusetts at Amherst in 2018 and MS from Columbia University in 2009. His research explores how computing systems are influenced by emerging trends in law and economics, and builds system infrastructure to manage their impact. His work has been adapted into best practices in the industry, deployed at the U.S. Federal Aviation Administration, integrated into courses at Brown and Penn State Universities, and received recognition from the NSF.