keynote Speakers CCE 2025
Charvaka Duvvury, PhD
ESD Consulting LLC, Texas, USA
IEEE Region 6 (Western USA)
Talk title: "Advanced Electrostatic Discharge Technology Issues"
Date: October 22, 2025
Hour: 10:20-11:20 (Mexico City central time zone, UTC-6)
https://ieeexplore.ieee.org/author/37284697000
Participation of IEEE Student Branch Cinvestav-EDS
Short Biography:
Charvaka Duvvury received his PhD in engineering science from the University of Toledo and afterwards worked as a post-doctoral fellow in Physics at the University of Alberta in Edmonton, Canada, before joining Texas Instruments during 1977. His experience at Texas Instruments spanned for 35 years in semiconductor device physics with pioneering development work in ESD design. He was elected as TI Fellow in 1997 and as IEEE Fellow during 2008. He is currently working across the industry as a technical consultant on semiconductor reliability with particular emphasis on electro-static discharge (ESD) protection methods for integrated circuit (IC) devices. He is a recipient of the IEEE Electron Devices Society’s Education Award (2013), Outstanding Contributions Award from the EOS/ESD Symposium (1990), and Outstanding Industry Mentor Award twice from the Semiconductor Research Council (1994 and 2012). From 2004-2006 he served on the IEDM CMOS Reliability Sub-committee, and during 2001-2011 served as editor of the IEEE-TDMR. He is currently an active member of the EDS DL program. Charvaka has been serving on Board of Directors of the ESD Association (ESDA) since 1997 promoting ESD education and research at academic institutes. He served twice as General Chairman of the ESD Symposium. He is co-founder and co-chair of the Industry Council on ESD since 2006. During 2015 he became a co-founder of the iT2 Technologies that utilizes software engine for rapid ESD data analysis.
Abstract:
Electrostatic Discharge (ESD) has been a constant reliability concern for IC technologies for several decades, and it is heading to be a roadblock to newer applications for electronic devices. The seminar will begin with fundamentals of the ESD threat, and how this led to the development of protection designs at the IC level, and at the system level. These IC-level protection circuits face different challenges for Digital, Analog, and RF circuits. While on-chip protection design is essential for the IC package devices, external ESD events must be addressed at the system interfaces, such as USB and HDMI ports. The seminar will present a review of these different design strategies and address the problems posed by advanced technologies while meeting the ultra-IO high-speed performance requirements. The talk will conclude with a survey of the upcoming challenges from emerging technologies such as GaN and CNT, as well as IoT applications. Some of the critical issues of electrical overstress (EOS) during automotive applications will also be reviewed. The talk will end with the future of AI applications for ESD design and data analysis. Some opportunities for university research into the next decade will also be highlighted.
Dr. Baiying Lei, PhD
Professor of Medical School, Shenzhen University (SZU), China
Talk title: "Empowering Medical Image Analysis with Artificial Intelligence"
Date: October 23, 2025
Hour: 9:00-10:00 (Mexico City central time zone, UTC-6)
Participation of IEEE Student Branch Cinvestav - EMBS
Short Biography
Dr. Baiying Lei is a Distinguished Professor in the School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University (SZU). Dr. Lei received her M.Eng. degree in Electronic Science and Technology from Zhejiang University, China, and Ph.D. degree from Nanyang Technological University, Singapore, respectively. Her research interests include medical image analysis via artificial intelligence. She has been very active in providing professional services to the IEEE and to the academic community at large. She is an IEEE senior member and has served as Technical Committee members of IEEE Bio Imaging Signal Processing (BISP), IEEE Biomedical Imaging and Image Processing (BIIP) and Biomedical Signal Processing. She is an associate editor for several prestigious journals, including IEEE Transactions on Medical Imaging, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions Cybernetics, and IEEE Journal of Biomedical and Health Informatics. She is a receipt of Distinguished Changjiang Young Scholar of Chinese Ministry of Education, Qingyun Shi Female Scientist from the China Image and Drawing Society (CSIG), “Top 2% Top Scientists in the World released by Stanford University (2020-2024), Top 0.05% ScholarGPS Highly Ranked Scholars, Chinese Young Scientist from China Association for Science and Technology.
Abstract:
This talk explores the application of artificial intelligence in medical image analysis, covering data, feature and model learning. For congenital heart disease and breast cancer screening, methods integrating clinical knowledge, multi-task learning, and attention mechanisms enable efficient screening and rapid, accurate disease identification, supporting early intervention. In detecting retinal lesions, skin cancer, and gastric cancer, combining Transformers, CNNs, GANs, and multi-scale fusion strategies allows models to deeply extract and interpret complex lesion features, significantly improving detection accuracy and interpretability. For brain disease diagnosis, multi-network fusion models and graph learning methods achieve high-precision diagnosis, enhancing understanding of complex brain structures and functions, thus improving diagnostic accuracy and model interpretability. The talk highlights the latest advancements and applications of these technologies, supporting early detection, precise diagnosis, and personalized treatment.
Yi Huang, PhD
Professor in Wireless Engineering and the Head of High-Frequency Engineering Group
Department of Electrical Engineering & Electronics, the University of Liverpool, UK
Talk title: "Wireless Charging for Medical, EV, and IoT Applications"
Date: October 24, 2025
Hour: 10:30-11:30 - (Mexico City central time zone, UTC-6)
https://www.liverpool.ac.uk/people/yi-huang
Short Biography
Prof Yi Huang has been conducting research in the areas of antennas, wireless communications, applied electromagnetics, radar, measurements, and EMC since 1987. More recently, he is working on antenna developments using liquid and new materials, wireless energy harvesting and power transfer. His experience includes 3 years spent with NRIET (China) as a Radar Engineer and various periods with the Universities of Birmingham, Oxford, and Essex in the UK as a member of research staff. He worked as a Research Fellow at British Telecom Labs in 1994 and then joined the Department of Electrical Engineering & Electronics, the University of Liverpool, UK as a Faculty in 1995, where he is now a full Professor in Wireless Engineering and the Head of High-Frequency Engineering Group.
Prof Huang has published over 500 refereed papers in leading international journals and conference proceedings and authored four books, including Antennas: from Theory to Practice (John Wiley, 2008, 2021). He has received many patents, and research grants from research councils, government agencies, charities, EU, and industry, and is a recipient of over 10 awards (e.g. BAE Systems Chairman’s Award 2017, IET, and Best Paper Awards). He has served on a number of national and international technical committees and has been an Editor, Associate Editor, or Guest Editor of five international journals. In addition, he has been a keynote/invited speaker and organiser of many conferences and workshops (e.g. IEEE iWAT2010, LAPC2012, and EuCAP2018). He is at present an Associate Editor of IEEE Antennas and Wireless Propagation Letters, UK and Ireland Rep to the European Association of Antenna and Propagation (EurAAP), a Fellow of IET, and a Fellow of IEEE.