Prof. Kenichi Okada 

Institute of Science Tokyo, Tokyo, Japan (formerly Tokyo Institute of Technology) 

Abstract

Toward AI-Driven Scalable Wireless IC Design for Millimeter-Wave and THz Communications

Future wireless communication systems, including beyond 5G and 6G, require not only higher carrier frequencies and larger antenna arrays, but also scalable design methodologies for increasingly complex RF, millimeter-wave, and mixed-signal integrated circuits. This talk presents recent advances in millimeter-wave and THz circuit design toward future high-speed and high-capacity wireless systems.
The talk will first introduce a theoretical outlook on future trends in millimeter-wave wireless communication. It will then highlight recent developments in ultra-fast Sub-THz radios for high-data-rate and long-distance wireless links. Next, mmWave massive MIMO technologies will be discussed, with a particular focus on discrete-time operation in mmWave circuit design. This approach enables scalable phased-array architectures realizing TD-MIMO, supporting energy-efficient and flexible high-capacity wireless systems. Finally, the talk will introduce AI-driven circuit design automation as a key methodology for scaling future wireless IC development. By combining advanced high-frequency circuit techniques with AI-assisted design exploration, optimization, and evaluation, future mmWave and THz wireless ICs can be developed more efficiently while addressing increasing system complexity.

Biography

Kenichi Okada received the B.E., M.E., and Ph.D. degrees in Communications and Computer Engineering from Kyoto University, Kyoto, Japan, in 1998, 2000, and 2003, respectively. From 2000 to 2003, he was a Research Fellow of the Japan Society for the Promotion of Science in Kyoto University. In 2003, he joined Tokyo Institute of Technology as an Assistant Professor, where he is currently a Professor of Electrical and Electronic Engineering in Institute of Science Tokyo. He has authored or co-authored more than 500 journal and conference papers. His current research interests include millimeter-wave and terahertz CMOS wireless transceivers for 20/28/39/60/77/79/100/300GHz for 5G, WiGig, satellite and future wireless systems, digital PLL, synthesizable PLL, atomic clock, and ultra-low-power wireless transceivers for Bluetooth Low-Energy, and sub-GHz applications.
Prof. Okada is a member of the Institute of Electrical and Electronics Engineers (IEEE), the Institute of Electronics, Information and Communication Engineers (IEICE), the Information Processing Society of Japan (IPSJ), and the Japan Society of Applied Physics (JSAP). He was a recipient or co-recipient of the Ericsson Young Scientist Award in 2004, the A-SSCC Outstanding Design Award in 2006 and 2011, the ASP-DAC Special Feature Award in 2011 and Best Design Award in 2014 and 2015, the MEXT Young Scientists’ Prize in 2011, the JSPS Prize in 2014, the Suematsu Yasuharu Award in 2015, the MEXT Prizes for Science and Technology in 2017, the RFIT Best Paper Award in 2017, the IEICE Best Paper Award in 2018, the RFIC Symposium Best Student Paper Award in 2019, the IEICE Achievement Award in 2019, the DOCOMO Mobile Science Award in 2019, the IEEE/ACM ASP-DAC Prolific Author Award in 2020, the Kenjiro Takayanagi Achievement Award in 2020, the KDDI Foundation Award in 2020, the IEEE CICC, Best Paper Award in 2020, the IEEE ISSCC Author-Recognition Award in 2023, the IEEE A-SSCC Top-11 Contributor Award, IEEE MWCL Tatsuo Itoh Best Paper Award, and more than 50 other international and domestic awards. He is a Fellow of IEEE. He is/was a member of the technical program committees of IEEE International Solid-State Circuits Conference (ISSCC), VLSI Circuits Symposium, European Solid-State Circuits Conference (ESSCIRC), Radio Frequency Integrated Circuits Symposium (RFIC), Asian Solid-State Circuits Conference (A-SSCC), and he is/was also Guest Editors and an Associate Editor of IEEE Journal of Solid-State Circuits (JSSC), an Associate Editor of IEEE Transactions on Microwave Theory and Techniques (T-MTT), a Distinguished Lecturer and AdCom member of the IEEE Solid-State Circuits Society (SSCS).

Assoc. Prof. Astria Nur Irfansyah

Institut Teknologi Sepuluh Nopember, Indonesia

Abstract

Analog in the Digital Age: Exploring Digitally-Assisted Mixed-Signal and Neuromorphic Circuits for Intelligent Systems

Modern microelectronics depend on analog and mixed-signal circuits that bridge the physical world with the digital domain of computation. However, as transistor size continues to scale down for greater computing power through processors with more cores and functionality, memory with much higher density, and systems with much more complexity, the same advantage of this CMOS scaling does not directly apply to analog and mixed-signal circuits. This is due to reduced signal quality, worse device mismatch, and increased device leakage current with smaller CMOS technology nodes. Digitally-assisted analog and mixed-signal circuits have emerged to exploit the advantages of digital circuits in modern CMOS processes for analog circuit functionality. A connected paradigm is the neuromorphic circuit technique which draws on biological neural network structure and efficiency for use in intelligent systems. Biological systems are inherently analog in nature, therefore analog electronic circuits have been widely considered for neuromorphic circuit implementations. The energy efficiency potential of neuromorphic circuits is much needed given the very high power consumption of modern AI systems. Relevant research along these directions, carried out at ITS Surabaya, Indonesia, is discussed as part of a broader collective effort to build semiconductor and IC design talent and capacity in the country.

Biography

Astria Nur Irfansyah is an associate professor at the Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember (ITS) Surabaya. At ITS, he also serves as Deputy Director for International Partnership at ITS Global Engagement since 2020. Dr. Irfansyah previously served as Vice Secretary of the IEEE Indonesia Section in 2019, and currently Vice Chair of ICDEC (Indonesia Chip Design Collaborative Center). He received his Ph.D in Electrical Engineering from the University of New South Wales, Australia, in 2016, focusing on mixed-signal circuit design. He is currently active in promoting integrated circuit design to students and supervising student thesis on microelectronics and embedded systems.

Assoc. Prof. Anis Salwa Mohd Khairuddin

Universiti Malaya  

Speech Title: From Intelligence to Impact: Shaping the Future of Emerging Technologies

Abstract

From Intelligence to Impact: Shaping the Future of Emerging Technologies

Artificial Intelligence (AI) is not just changing how we think. It is changing how we build, how we move, how we learn, and how we power our civilization. Across different critical domains, we are witnessing a fundamental shift — from Intelligence to Impact. Emerging technologies are transforming every aspect of society, from healthcare and education to manufacturing, finance, and public services. While advances in  AI, IoT, robotics, and data analytics continue to redefine what is possible, the true measure of innovation lies not in technological capability alone, but in its ability to create meaningful and sustainable impact. Ultimately, this keynote invites participants to rethink the future of innovation by focusing on responsible development, interdisciplinary collaboration, and human-centered design. By moving beyond intelligence as a technological achievement toward impact as a societal objective, we can shape an ecosystem where emerging technologies not only accelerate progress but also contribute to a more resilient, equitable, and sustainable future. Across different domains the message is the same: AI is no longer just a tool we use. It is becoming the infrastructure we live inside. This is not the future. This is happening now. The question is not whether AI will reshape our world. It already is. The question is whether we will help shape how it does.

Biography

Associate Professor Ir. Dr. Anis Salwa Mohd Khairuddin is currently affiliated at the Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya. She is a registered Professional Engineer (PE) under the Board of Engineers Malaysia (BEM) and also a Chartered Engineer (CEng) registered under the Engineering Council, U.K. and a member of IEEE Computational Intelligence Society (CIS). In addition, she serves as Malaysia Focal point for Sub-Committee Deep and Emerging Technology (SCDET), formerly known as Sub-Committee on Microelectronics and Information Technology (SCMIT) in ASEAN COSTI (from year 2020 until current). The Committee on Science, Technology & Innovation (COSTI) is responsible for operationalizing and translating the APASTI strategic thrusts into specific actions. Currently, she is the Head of Department for the Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya. In addition, she serves as the Head of Centre of Intelligent Systems for Emerging Technology (CISET), Faculty of Engineering, UM. Her research expertise includes the application of AI methods for spatial and temporal signal processing to solve various pattern recognition problems.

Dr. Ngurah Indra ER

Universitas Udayana

Abstract

“From Sensing to Safety: Integrating V2X Communication, Hybrid AI, and Autonomous IoT Networks for Resilient and Sustainable Urban Mobility”

Urban mobility networks across Southeast Asia are expanding at an unprecedented pace, where the coexistence of motorcycles, passenger vehicles, trucks, and pedestrians within shared road spaces creates a fundamentally heterogeneous and high-variance traffic paradigm — a condition commonly referred to as Mixed Traffic. Simultaneously, the maturation of Cellular Vehicle-to-Everything (C-V2X) communication standards, deep learning architectures, and autonomous Internet of Things (IoT) sensing networks is opening a transformative window for next-generation Intelligent Transportation Systems (ITS). However, the fact that most existing ITS frameworks have been designed and validated exclusively under homogeneous traffic conditions crucially limits their applicability in the mixed traffic environments that characterize the majority of roads across the developing world — a gap that demands field-grounded, context-specific research.

In this keynote, we present an integrated three-pillar framework developed to address this gap directly. The first pillar examines C-V2X Sidelink communication architecture, focusing on resource allocation performance and cooperative safety messaging under mixed traffic density. The second proposes a Hybrid Kalman Filter–Long Short-Term Memory (KF-LSTM) model for real-time collision detection at signalized intersections under tropical weather conditions, alongside a YOLOv8-based environmental perception system for autonomous electric vehicles. The third demonstrates how autonomous IoT sensing networks, combined with Vehicle-to-Infrastructure (V2I) data harvesting, enable city-scale environmental monitoring — from drive-by air quality mapping to autonomous flood detection — without prohibitive infrastructure investment.

These three pillars converge in the construction of an Indonesian Mixed Traffic Digital Twin, calibrated from live field survey data, which we argue is crucially advantageous as both a research validation environment and a policy decision-support tool for Vulnerable Road User (VRU) protection. Contrary to complex, homogeneous-traffic-optimized solutions that impose significant standardization and deployment burdens, we demonstrate that a simple and efficient integrated framework — built from the ground up for Southeast Asian road conditions — is sufficient to achieve meaningful gains in urban safety, sustainability, and resilience.

Biography

Ngurah Indra ER is an Assistant Professor at the Electrical & Computer Engineering Department, Udayana University, Bali, Indonesia, in the Telecommunications and Multimedia Networks Group. He completed his PhD at the Institute Mines-Telecom (IMT) Atlantique (formerly Telecom Bretagne), Rennes Campus, France, in the Network Systems, Cyber Security and Digital Law Department, while also affiliated to the IRISA Laboratory. He completed his M.Sc in Communications Engineering from the University of Birmingham, the UK, in 1999 and his B.Eng in Telecommunication Engineering from Sepuluh November Institute of Technology (ITS) Surabaya, Indonesia, a year earlier. His current research interests include Internet of Vehicles (IoV), Vehicular Networks, Internet of Things (IoT), and Smart City Data Collection.