Registration for Workshop on Optimization and Analog Circuit Design

Jiang Hu is a professor in the Department of Electrical and Computer Engineering at Texas A&M University. His research interests include optimization and machine learning techniques for chip and AI hardware design automation, approximate computing and hardware security. He has co-authored more than 260 technical papers, co-invented 10 patents and co-edited a book. He received best paper awards at DAC 2001, ICCAD 2011, IEEE International Conference on Vehicular Electronics and Safety 2018, MICRO 2021 and ASPDAC 2023. He served as the technical program chair and general chair of the ACM International Symposium on Physical Design in 2011 and 2012, respectively. He was named an IEEE fellow in 2016. He was the technical program co-chair of the ACM/IEEE Workshop on Machine Learning for CAD 2023 and will be its general co-chair in 2024. Currently, he is the Editor-in-Chief of the ACM Transactions on Design Automation of Electronic Systems.

Frank Schenkel studied electrical engineering at the University of Stuttgart and the Technical University of Munich, respectively. After finishing his PhD at the Institute of Electronic Design Automation of the Technical University of Munich, he co-founded MunEDA, the leading supplier of tools for analysis, optimization, and migration of integrated full custom designs.

Wolfgang Utschick received a doctoral degree in electrical engineering from the Technical University of Munich (TUM). Before that, he completed several years of certified industrial training programs, then studied at TUM and conducted his diploma thesis work under the supervision of Claudia Latzel (née Wieser) and Helmut Gräb. He became an enthusiastic lecturer, scientist, and IEEE Fellow because of this experience! Since 2002, he has been an Extraordinarius (Associate Professor) and then Ordinarius (Full Professor) in Methods of Signal Processing at TUM. Since 2011, he has regularly taught courses in Singapore as a TUM Asia Faculty Member and as a guest professor at the Singapore Institute of Technology. In 2021, he became a core member of the newly founded Munich Data Science Institute. From 2017 to 2022, he served two terms of office as the elected Dean of the Department of Electrical and Computer Engineering, TUM. He also served on the Board of Deans for TUM's newly founded School of Communication, Information, and Technology. Wolfgang teaches courses on signal processing, stochastic processes, optimization theory, and machine learning in wireless communications, especially in the physical layer, where he is an active researcher, inventor, author, and lecturer.

Georg Georgakos received his Diploma in electrical engineering in 1987 from the University of Applied Sciences, Munich, Germany. From 1987 to 1993 he was involved in several research activities at Siemens and IBM R&D laboratories, including interconnect reliability, DUV lithography and basic analog circuits.

From 1994 until 2001 he was engaged in the development of embedded FLASH memories for automotive and smartcard applications. He started as a design engineer and took over project and program management. Since 2001 he is technical lead in Infineon’s Design Automation group responsible for Library Innovation covering standard cells, IOs and memories. His special interests are ionizing radiation effects and new methodologies in the field of Design for Reliability and IP Qualification. In numerous cooperation projects with universities he supervised Diploma, Master and PhD theses, most of them in the frame of funding projects. Furthermore he was German Project Coordinator of HONEY (BMBF /MEDEA+ funded project) and European Project Coordinator of RELY (BMBF /CATRENE funded project) which was honoured by the German edacentrum with the EDA-Achievement Award 2014. He is an author or co-author of over 40 publications in international journals and conference proceedings and holds more than 30 patents.

Gi-Joon Nam is currently a principal research scientist and the manager of the Design Automation Group in IBM’s T. J. Watson Research Center, USA. He has more than 25 years of professional experience in the semiconductor and EDA (Electronic Design Automation) industries and published over 100 technical publications and issued patents. To outreach the community further, Gi-Joon has been serving as an executive committee member of ACM SIGDA and IEEE CEDA. Also, Gi-Joon is the recipient of several IBM outstanding research awards and IBM corporate achievement awards.