Dechao Guo, Ph.D.
Vice President, Advanced Logic Technology R&D

Semiconductor Technology Research and Development

IBM Semiconductors, IBM Research

Research areas
Advanced logic technology, AI computing, high-performance systems, hybrid cloud

Biography
Dr. Dechao Guo is Vice President of Advanced Logic Technology at IBM, where he leads advanced logic technology research and enablement for high-performance systems, AI computing, and hybrid cloud. Since joining IBM Thomas J. Watson Research Center in 2007, he has contributed to multiple generations of semiconductor technologies, including high-k metal gate, FinFET, nanosheet, and vertical transport transistor technologies. His work has supported major IBM processor platforms, and he has played key technical and leadership roles in advanced logic technology development. Dechao’s organization is responsible for 2nm Nanosheet and Cu technology, backside power distribution technology, stacked transistor technology, and beyond Cu interconnect for both high-performance and low-power applications. 

Profile and photo source: IBM Research, “Dechao Guo.” Accessed June 19, 2026.

Takao Marukame, Ph.D. 

Professor
Faculty of Information Science and Technology, Hokkaido University

Research areas 

Next-generation information processing technologies, AI hardware, brain-inspired and neuromorphic computing, in-memory computing, VLSI systems, advanced devices and circuits, information security, and bio-implementation 

Biography
Dr. Takao Marukame is a Professor at the Faculty of Information Science and Technology, Hokkaido University. His research focuses on next-generation information processing technologies beyond conventional computing, including AI hardware, brain-inspired and neuromorphic computing, in-memory computing, VLSI systems, and advanced devices and circuits. Drawing on device technology, circuit design, and system architecture, he develops efficient computing architectures and integrated systems for future AI and digital transformation applications. His work also includes applications in information security and bio-implementation. 

Prasoon Ambalathankandy, Ph.D. 

Research Center for Integrated Quantum Electronics, Hokkaido University 

Research areas
FPGA-based real-time image processing, low-latency hardware architectures, multimodal edge sensing, AI-assisted image fusion, and quantum error correction hardware 

Biography
Dr. Prasoon Ambalathankandy is a Postdoctoral Researcher at the Research Center for Integrated Quantum Electronics, Hokkaido University, Japan. He received his Ph.D. from Hokkaido University in 2020. His work focuses on FPGA-based real-time image processing and low-latency hardware architectures, including HDR tone mapping, super-resolution, and quantum error-correction architectures. 

Shintaro Yamamichi, Ph.D.
Director of IBM Semiconductors Japan, IBM Research – Tokyo 

Research areas  (TBA)
AI hardware, advanced packaging, material informatics, quantum computing, circuit design, chiplet technology, data science, and global research collaborations 

Biography  (TBA)
ProDr. Shintaro Yamamichi is Director of IBM Semiconductors Japan at IBM Research – Tokyo. He has extensive experience in semiconductor research and development at NEC, Renesas Electronics, and IBM Japan. His work spans AI hardware, advanced packaging, material informatics, quantum computing, circuit design, chiplet technology, and data science. Since joining IBM Japan in 2013, he has led research projects and collaborations with global research partners in next-generation semiconductor technologies.

file and photo source: IBM Research, “Shintaro (Shin) Yamamichi.” Accessed June 19, 2026. 

Shohei Tatsumi
Second-year Doctoral Student
Graduate School of Information Science and Technology, Hokkaido University

Research areas
Physical reservoir computing, spatiotemporal sampling, continuous-time systems, non-uniform sampler arrays, and energy-efficient AI hardware

Biography
Shohei Tatsumi is a second-year doctoral student at the Graduate School of Information Science and Technology, Hokkaido University. His research focuses on physical reservoir computing using continuous-time systems for ultra-high-speed signal processing. In this workshop, he will present a spatiotemporal sampling method using a parallel array of low-speed, non-uniform samplers, aiming to improve effective sampling performance and reduce the readout bottleneck in energy-efficient AI hardware systems. 

Dr. Qiangfei Xia
Dev and Linda Gupta Professor, UMass Amherst
Head, Nanodevices and Integrated Systems Lab

Research areas (TBA)
Emerging electronic materials and devices, beyond-CMOS technologies, memristive systems, analog in-memory computing, energy-efficient AI hardware, reconfigurable RF systems, and hardware security

Biography (TBA)
Dr. Qiangfei Xia is the Dev and Linda Gupta Professor of Electrical and Computer Engineering at the University of Massachusetts Amherst and head of the Nanodevices and Integrated Systems Lab. His research focuses on emerging electronic materials and devices, beyond-CMOS technologies, memristive systems, analog in-memory computing, energy-efficient AI hardware, reconfigurable RF systems, and hardware security. He has made major contributions to memristive devices and crossbar arrays for computing applications. Dr. Xia is a Clarivate Highly Cited Researcher and an IEEE Fellow for his contributions to resistive memory arrays and devices for in-memory computing. 

Profile and photo source: University of Massachusetts Amherst, Riccio College of Engineering, “Qiangfei Xia.” Accessed June 19, 2026. 

Hiroyuki Akinaga, Ph.D.
Professor
Faculty of Information Science and Technology, Hokkaido University

Research areas
Nanoelectronics, edge AI, heterogeneous integration, net-zero computing, beyond-CMOS technologies, energy harvesting, reliability, wafer-scale system integration, and open innovation platforms

Biography
Dr. Hiroyuki Akinaga is a Professor at the Faculty of Information Science and Technology, Hokkaido University. He worked at the National Institute of Advanced Industrial Science and Technology (AIST) from 1992 to 2025, including as Director of the Nano Device Center. His research interests include nanoelectronics, edge AI, heterogeneous integration, net-zero computing, and open innovation platforms. He is involved in several international roadmap and standardization activities, including the Beyond CMOS Working Group of IRDS and IEC TC113. He is also a Fellow of the Japan Society of Applied Physics.

 Akihisa Iwasaki

Rapidus Corporation

Research areas (TBA )

Biography (TBA )

Tetsuya Asai, Ph.D.
Professor
Faculty of Information Science and Technology, Hokkaido University

Research areas (TBA)
Semiconductor integrated circuits, computer architecture, artificial intelligence hardware, neuromorphic circuits, device-circuit integration, and emerging information processing

Biography (TBA)
Dr. Tetsuya Asai is a Professor at the Faculty of Information Science and Technology, Hokkaido University. His research focuses on emerging information processing technologies beyond conventional computing, including semiconductor integrated circuits, computer architecture, AI hardware, neuromorphic circuits, and device-circuit integration. Drawing on device technologies, circuit design, and system architecture, he develops advanced computing systems for next-generation AI hardware and brain-inspired information processing. His work also contributes to highly efficient integrated technologies for future information processing applications.