معرفی
Andreas Gerstlauer is a Professor and holder of the Cullen Trust for Higher Education Endowed Professorship in Engineering #6 at The University of Texas at Austin. He serves as the Associate Chair for Academic Affairs in the Chandra Family Department of Electrical and Computer Engineering. His academic appointments include membership in the Architecture, Computer Systems, and Embedded Systems (ACSES) research area and the Integrated Circuits & Systems (ICS) research area.
Dr. Gerstlauer received his Dipl.-Ing. (M.S.) degree in Electrical Engineering from the University of Stuttgart, Germany in 1997 and M.S. and Ph.D. degrees in Information and Computer Science from the University of California, Irvine in 1998 and 2004, respectively. Prior to joining UT Austin in 2008, he was an Assistant Researcher in the Center for Embedded Computer Systems (CECS) at UC Irvine.
His research focuses on embedded systems, cyber-physical systems, and the Internet of Things, with particular emphasis on electronic system-level design methods, system modeling, design languages, and embedded hardware/software synthesis. His work spans from novel hardware/software fabrics and System-on-Chip architectures to system-level design automation methods and tools, with special emphasis on underlying system modeling foundations. His research group, the System-Level Architecture and Modeling (SLAM) Lab, investigates resource-constrained and application-specific embedded, high-performance, and edge computing systems.
Dr. Gerstlauer's publication record shows a consistent trajectory in advancing system-level design methodologies, with recent work focusing on IoT applications, deep learning inference at the edge, power modeling using machine learning techniques, and advanced simulation frameworks for heterogeneous architectures. His research bridges the gap between theoretical design methodologies and practical implementation, with commercial applications used by organizations including JAXA and NEC Toshiba Space Systems.
- Humboldt Research Fellowship (2016-2017)
- Best Research Paper Award at DAC (2016)
- Best Paper Award at SAMOS (2015)
- Outstanding Paper Award at ECRTS (2023)
- IEEE HSTTC Top Pick in Hardware Security (2021)
- Best Paper Award at MLCAD (2021)
Dr. Gerstlauer has successfully mentored numerous Ph.D. and Master's students who have gone on to prominent positions at companies including Google, NVIDIA, Apple, AMD, Facebook, Intel, and Samsung. His research has been supported by major funding agencies including NSF, DOE, SRC, Sandia National Labs, and industry partners such as AMD, ARM, Intel, Qualcomm, and Samsung. He has served in leadership roles for major conferences including General Co-Chair for ESWEEK 2020-2021 and Program Committee Chair for CODES+ISSS 2015-2016.
The SLAM Lab, under his direction, currently pursues active research in neuromorphic computing system co-design, accelerator-rich heterogeneous system architectures, and predictive modeling for next-generation heterogeneous computer system design. The lab maintains strong industry partnerships and has produced multiple open-source software tools including QLA-RTS, DeepThings, LIPPo, and NoSSim that have been adopted by both academic and industrial researchers.
