Bio.: Giovanni De Micheli is a research scientist in electronics and computer science. He is credited for the invention of the Network on Chip design automation paradigm and for the creation of algorithms and design tools for Electronic Design Automation (EDA). He is Professor and Director of the Integrated Systems Laboratory and Scientific Director of the EcoCloud center at EPFL Lausanne, Switzerland. Previously, he was Professor of Electrical Engineering at Stanford University. He was Director of the Electrical Engineering Institute at EPFL from 2008 to 2019 and program leader of the Swiss Federal Nano-Tera.ch program. He holds a Nuclear Engineer degree (Politecnico di Milano, 1979), a M.S. and a Ph.D. degree in Electrical Engineering and Computer Science (University of California at Berkeley, 1980 and 1983).
Prof. De Micheli is a Fellow of ACM, AAAS and IEEE, a member of the Academia Europaea and an International Honorary member of the American Academy of Arts and Sciences. His current research interests include several aspects of design technologies for integrated circuits and systems, such as synthesis for emerging technologies. He is also interested in heterogeneous platform design including electrical components and biosensors, as well as in data processing of biomedical information. He is author of: Synthesis and Optimization of Digital Circuits, McGraw-Hill, 1994, co-author and/or co-editor of ten other books and of over 900 technical publications. His citation h-index is above 100 according to Google Scholar. He is member of the Scientific Advisory Board of IMEC (Leuven, B) and STMicroelectronics.
Prof. De Micheli is the recipient of the 2022 ESDA-IEEE/CEDA Phil Kaufman Award, the 2019 ACM/SIGDA Pioneering Achievement Award, and several other awards.

Bio.: Jaijeet Roychowdhury is a Professor of EECS at the University of California at Berkeley. His research interests include machine learning, novel computational paradigms, and the analysis, simulation, verification and design of cyber-physical, electronic, biological, nanoscale and mixed-domain systems. Contributions his group has made include the concept of self-sustaining oscillators for Ising-based and von Neumann computation, novel machine-learning techniques for dynamical systems, theory and techniques for oscillator phase macromodels, injection locking and phase noise, multi-time partial differential equations, techniques for model reduction of time-varying and nonlinear systems, and open-source infrastructures for reproducible research.
Roychowdhury received a Bachelor's degree in electrical engineering from the Indian Institute of Technology, Kanpur, India, in 1987, and a Ph.D. degree in electrical engineering and computer science from UC Berkeley in 1993. From 1993 to 1995, he was with the Computer-Aided Design (CAD) Laboratory, AT&T Bell Laboratories, Allentown, PA. From 1995 to 2000, he was with the Communication Sciences Research Division, Bell Laboratories, Murray Hill, NJ. From 2000 to 2001, he was with CeLight Inc. (an optical networking startup), Silver Spring, MD. From 2001-2008, he was with the Electrical and Computer Engineering Department and the Digital Technology Center at the University of Minnesota in Minneapolis.
Roychowdhury was cited for Extraordinary Achievement by Bell Laboratories in 1996 for work on MOS homotopy. His student Tianshi Wang and he won the Bell Labs Prize in 2019 for their work on Oscillator Ising Machines. Over the years, he has authored or co-authored seven best papers and a distinguished paper. He has served on technical and administrative committees within several conferences and professional organizations, including ICCAD, DAC, DATE, ASP-DAC and CEDA. Roychowdhury was a co-founder of Berkeley Design Automation, a startup later acquired by Mentor Graphics. He is a Fellow of the IEEE.

Bio.: Prof. Sung Kyu Lim earned his Ph.D. in Computer Science from UCLA in 2000. Since 2001, he has been a faculty member at the School of Electrical and Computer Engineering at the Georgia Institute of Technology. His research explores the architecture, design, and electronic design automation (EDA) of 2.5D and 3D integrated circuits, contributing to over 400 published papers. He received the Best Paper Awards from the IEEE Transactions on CAD in 2022 and the ACM Design Automation Conference in 2023. He is an IEEE Fellow and served as a program manager at DARPA's Microsystems Technology Office from 2022 to 2024.

Bio.: Professor Schlichtmann (b. 1964) explores design automation methodologies for complex (digital and analog) electronic circuits and systems. These often consist of billions of components and need to be designed using sophisticated optimization and analysis algorithms. In recent years, his research has increasingly addressed emerging technologies (photonics, microfluidic biochips, neuromorphic architectures).
Professor Schlichtmann studied electrical engineering at TUM and obtained his doctorate for a thesis on computer-aided design, and also pursued a postgraduate business degree during this time. He then worked for Siemens AG and Infineon Technologies AG in a number of technical, managerial and executive positions for about 10 years. In 2003, Professor Schlichtmann was appointed to a professorship at TUM. In addition to his research and teaching activities, he coordinates international study programs in both Munich and Singapore (TUM Asia). He furthermore serves as program director of the TUMCREATE research project in Singapore and is is a member of various advisory boards and of the acatech National Academy of Science and Engineering.

Bio.: Georges G.E. Gielen received the MSc and PhD degrees in Electrical Engineering from the Katholieke Universiteit Leuven (KU Leuven), Belgium, in 1986 and 1990, respectively. Currently, he is Full Professor in the MICAS research division at the Department of Electrical Engineering (ESAT) at KU Leuven. From 2013 until 2017 he served as Vice-Rector for the Group of Sciences, Engineering and Technology. In 2018 he was visiting professor at UC Berkeley and Stanford University. From 2020 to 2024 he served as Chair of the Department of Electrical Engineering (ESAT) at KU Leuven.
His research interests are in the design of analog and mixed-signal integrated circuits, and especially in analog and mixed-signal CAD tools and design automation, including modeling, simulation, optimization and synthesis as well as testing. He has graduated over 55 PhDs so far. He is a frequently invited speaker and serves/served as Distinguished Lecturer of the IEEE Solid-State Circuits Society and the IEEE Circuits and Systems Society. He is coordinator/partner of several academic and industrial research projects in the above fields, including having awarded the ERC Advanced Grant AnalogCreate. He has (co-)authored 14 monograph books and more than 800 publications in edited books, international journals and conference proceedings. He is a 1997 Laureate of the Belgian Royal Academy of Sciences, Literature and Arts in the discipline of Engineering. He is Fellow of the IEEE since 2002, and received the IEEE CAS Mac Van Valkenburg award in 2015, the IEEE CAS Charles Desoer award in 2020, as well as the EDAA Achievement Award in 2021. He is an elected member of the Royal Flemish Academy of Belgium in the class of Technical Sciences, and of the Academia Europaea.

Bio.: Dr. Jinjun Xiong is an Empire Innovation Professor with the Department of Computer Science & Engineering, University at Buffalo (UB) . He received his Ph.D. degree in 2006 from University of California, Los Angeles (UCLA) with an Outstanding Ph.D. Award, his M.S. degree from University of Wisconsin, Madison in 2002, and his M.S. and B.S. degrees from Tsinghua University in 2000 and 1998, respectively.
Before joining UB in 2021, Dr. Xiong was Program Director and Senior Research Scientist at IBM T.J. Watson Research Center, Yorktown Heights, NY. He co-founded and co-directed the IBM-Illinois Center for Cognitive Computing Systems Research with Prof. Wen-mei Hwu. Under their leadership, the C3SR center has expanded from the early days' eight faculty members in 2016 to close to 40 faculty members in 2021. The success of the C3SR center also led to the creation of the new IBM-Illinois Discovery Accelerator Institute, a joint $200-million research investment between IBM and UIUC. Dr. Xiong also co-founded the IBM Smarter Energy Research Institute and led a number of enterprise-scale collaborations with world-wide electric utility companies to address sustainability issues with renewable integration.

Bio.: Professor Tim Cheng is Vice-President for Research and Development (VPRD) and Chair Professor jointly in the Department of Electronic & Computer Engineering (ECE) and Department of Computer Science & Engineering (CSE) at The Hong Kong University of Science and Technology (HKUST). His current research interests span the fields of AI chip design, electronic design automation (EDA), computer vision, and medical image analysis. He is now directing the InnoHK AI Chip Center for Emerging Smart Systems (ACCESS), a multidisciplinary R&D platform aiming to advance IC design and EDA development in realizing ubiquitous AI applications in society.
Prof. Cheng holds a doctorate from the Univ. of California, Berkeley. Prior to joining HKUST, he was on the faculty at the Univ. of California, Santa Barbara (UCSB) after spending five years at the AT&T Bell Laboratories. At UCSB, he took up various academic leadership roles, including the Founding Director of the Computer Engineering Program, Chair of the ECE Department, and Associate Vice Chancellor for Research. He was Dean of Engineering at HKUST from 2016 to April 2022 before becoming VPRD.
A Fellow of IEEE and the Hong Kong Academy of Engineering Sciences, Prof. Cheng has gained due recognition for his research, including a dozen of best paper awards from IEEE and ACM conferences and journals. On top of receiving the UCSB College of Engineering Outstanding Teaching Faculty Award, the 2020 Pan Wen Yuan Outstanding Research Award, and the 2024 CCF Overseas Outstanding Contribution Award, he was named a Fellow of the School of Engineering at the University of Tokyo.

Bio.: Sachin S. Sapatnekar is the Henle Chair in ECE and Distinguished McKnight University Professor at the University of Minnesota. His research interests include design automation methods for analog and digital circuits, circuit reliability, and algorithms and architectures for machine learning and quantum-inspired computing. He is a Fellow of the IEEE and the ACM.

Bio.: Vijay Janapa Reddi is an Associate Professor in the John A. Paulson School of Engineering and Applied Sciences at Harvard University. Prior to joining Harvard University, he was an Associate Professor at The University of Texas at Austin. His research interests include computer architecture and runtime systems, specifically in the context of edge and mobile computing systems (smartphones, autonomous vehicles, aerial robots, etc.) to improve their performance, power efficiency, and reliability. Dr. Janapa Reddi is a recipient of multiple honors and technical achievement awards, including the MICRO and HPCA Hall of Fame (2018 and 2019, respectively), the National Academy of Engineering (NAE) Gilbreth Lecturship Honor (2016), IEEE TCCA Young Computer Architect Award (2016), Intel Early Career Award (2013), Google Faculty Research Awards (2012, 2013, 2015, 2017), Best Paper at the 2005 International Symposium on Microarchitecture (MICRO), Best Paper at the 2009 International Symposium on High Performance Computer Architecture (HPCA), and IEEE’s Top Picks in Computer Architecture awards (2006, 2010, 2011, 2016, 2017). Beyond his technical research contributions, Dr. Janapa Reddi is passionate about STEM education at early age. He is responsible for the Austin Independent School District’s “hands-on” computer science (HaCS) program, which teaches 6th- and 7th-grade students programming and the high-level principles governing a computing system using open-source prototyping platforms like Arudinos. He received a BS in computer engineering from Santa Clara University, an MS in electrical and computer engineering from the University of Colorado at Boulder, and a Ph.D. in computer science from Harvard University.