Dr. Remzi Arpaci-Dusseau
Dr. Remzi Arpaci-Dusseau is the Grace Wahba professor and Vilas Distinguished Achievement Professor in the Computer Sciences Department at UW-Madison. He co-leads a research group with Professor Andrea Arpaci-Dusseau. Together, they have graduated 28 Ph.D. students and won numerous best-paper awards; many of their innovations are used by commercial systems. For their work, Andrea and Remzi received the 2018 ACM-SIGOPS Mark Weiser award for “outstanding leadership, innovation, and impact in storage and computer systems research”. Remzi was named a Fellow of the ACM for “contributions to storage and computer systems”, and a Fellow of the AAAS for “distinguished contributions to computer systems research and development of computing systems with concomitant devotion to computing education for everyone”. He has won the SACM Professor-of-the-Year award seven times, the Rosner “Excellent Educator” award, and the Chancellor’s Distinguished Teaching Award. Andrea and Remzi’s operating systems book (“Operating Systems: Three Easy Pieces”) is free to all, downloaded millions of times yearly, and used at hundreds of institutions worldwide.
Dr. Samuel Kounev
Dr. Samuel Kounev received a MSc degree in Mathematics and Computer Science from the University of Sofia (Bulgaria) in 2000 and a PhD (Dr.-Ing. summa cum laude) in computer science from TU Darmstadt (Germany) in 2005. He was a research fellow at the University of Cambridge (2006-2008) and Visiting Professor at UPC Barcelona (summer 2006 and 2007). In 2009, Samuel received the DFG Emmy-Noether-Career-Award (1M€) for excellent young scientists, establishing his research group “Descartes” at Karlsruhe Institute of Technology (KIT). Since 2014, Samuel Kounev is a Full Professor holding the Chair of Software Engineering at the University of Würzburg, where he has served in various roles including Dean (2019-2021) and Vice Dean (2017-2019) of the Faculty of Mathematics and Computer Science, Managing Director of the Institute of Computer Science (2016-2017), and Member of the Faculty Board (2015-2021).
His research interests include developing novel methods, techniques, and tools for the engineering of software for building dependable, efficient, and secure distributed systems, including cloud-based systems, cyber-physical systems, and scientific computing applications. He has recently coauthored the first textbook on Systems Benchmarking (New York, NY, USA: Springer, 2020). In the area of benchmarking, he founded the SPEC Research Group, a consortium within the Standard Performance Evaluation Corporation, providing a platform for collaborative research efforts in the area of quantitative system evaluation and analysis. Samuel is co-founder of several conferences in the field, including the ACM/SPEC International Conference on Performance Engineering (ICPE) and the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), for which he has also been serving on the Steering Committees. His research has lead to over 300 publications and multiple scientific and industrial awards, including 7 Best Paper Awards, SPEC Presidential Award for “Excellence in Research“, Google Research Award, ABB Research Award, and VMware Academic Research Award.
Dr. Lavanya Ramakrishnan
Dr. Lavanya Ramakrishnan is a senior scientist at Lawrence Berkeley National Laboratory. She started at the Lab in 2009 as an Alvarez Fellow and has also served as group lead for the Usable Software Systems group. Ramakrishnan has over 15 years of experience working on grants funded from various federal agencies including DOE, NSF, DOD, DARPA in various roles. Her research interests are in building software tools for computational and data-intensive science with a focus on workflow, resource, and data management. More recently, she has been using user research methods to understand as well as verify/validate the context of use and social challenges that often impact tool design and development. She currently leads a number of project teams that consist of a mix of social scientists, software engineers, and computer scientists.
Dr. Xian-He Sun
Dr. Xian-He Sun is a University Distinguished Professor, the Ron Hochsprung Endowed Chair of Computer Science, and the director of the Gnosis Research Center for accelerating data-driven discovery at the Illinois Institute of Technology (Illinois Tech). Before joining Illinois Tech, he worked at DoE Ames National Laboratory, at ICASE, NASA Langley Research Center, at Louisiana State University, Baton Rouge, and was an ASEE fellow at Navy Research Laboratories. Dr. Sun is an IEEE fellow and is known for his memory-bounded speedup model, also called Sun-Ni’s Law, for scalable computing. His research interests include high-performance data processing, memory and I/O systems, and performance evaluation and optimization. He has over 300 publications and 6 patents in these areas and is currently leading multiple large software development projects in HPC I/O systems. Dr. Sun is the Editor-in-Chief of the IEEE Transactions on Parallel and Distributed Systems, and a former department chair of the Computer Science Department at Illinois Tech. He received the Golden Core award from IEEE CS society in 2017, the ACM Karsten Schwan Best Paper Award from ACM HPDC in 2019, the Ron Hocksprung Endowed Chair from Illinois Tech in 2020, and the first prize best paper award from ACM/IEEE CCGrid in 2021. More information about Dr. Sun can be found at his web site.