Andreas Gerstlauer and Lizy John, professors in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, have received a research award from Meta for their work on "Creating a Dataset for ML-Guided Chip Design."
Dr. Andreas Gerstlauer is a Professor, holder of the Engineering Foundation Endowed Faculty Fellowship in Engineering, and the Associate Chair for Academic Affairs in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin. Dr. Gerstlauer is co-author on 3 books and more than 100 conference and journal publications, and he has presented in numerous conference and industrial tutorials. His work was recognized by a 2016-2017 Humboldt Research Fellowship, the Best Research Paper Award at the 2016 Design Automation Conference (DAC), the Best Paper Award at the 2015 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS), several best paper nominations from, among others, DAC, DATE and HOST, and as one of the most influential contributions in 10 years at DATE in 2008.
Dr. Lizy Kurian John holds the Truchard Foundation Chair in Engineering in the Chandra Family Department of Electrical & Computer Engineering at The University of Texas at Austin. Professor John holds 15 U. S. patents and has published 16 book chapters, approximately 300 journal and conference and workshop papers. She has coauthored books on Digital Systems Design using VHDL (Cengage Publishers 2007, 2017), Digital Systems Design using Verilog (Cengage Publishers, 2014) and has edited a book on Computer Performance Evaluation and Benchmarking (CRC Press). She has also edited three books on workload characterization.