Sessions

19th IEEE MCSoC/MCSoC‑NeuroCore 2026 Session/Track Chairs

Name	Affiliation / Organization	Track
Man Wu	Keio University	Track 2: Architectural Innovations in Embedded Multicore/Manycore SoCs
Cristinel Ababei	Marquette University	Track 3: Design Methodologies for Embedded Multicore/Manycore SoCs
Yi-Chung Chen	Mediatek	Track 5: Real-Time Systems for Embedded Multicore/Manycore SoCs
Weidong Cao	The George Washington University	Track 6: Testing, Security, and Trust in Embedded Multicore/Manycore Systems
Stefan Holst	Kyushu Institute of Technology	Track 7: Design Automation and Low-Power Techniques for Embedded Manycore SoCs
An Zou	Shanghai Jiao Tong University	Track 9: Application Domains for Embedded Multicore/Manycore SoCs
Po-Tsang Huang	National Chiao Tung University	Track 10: Hardware Acceleration of AI on Embedded Edge SoCs
Jason Eshraghian	University of California Santa Cruz	Track 11: Chiplet-Based Architectures and Design for Multicore SoCs
Md Farhadur Reza	Eastern Illinois University	Track 12: Machine Learning for Energy-Efficient and Reliable Manycore Systems
Xiaoming He	Nanjing University of Posts and Telecommunications	Track 13: Multicore SoCs for Cyber-Physical and Autonomous Systems
Kaijie Wei	Keio University	Track 14: Sustainable Design and Lifecycle Management for Multicore SoCs
Wei Yan	Institute of Computing Technology	Track 15: Privacy-Preserving AI Acceleration on Embedded Multicore SoCs

Name	Affiliation / Organization	NeuroCore Track
Amirreza Yousefzadeh	University of Twente	NeuroCore T1: Brain‑Inspired and Neuromorphic System Architectures
Kaijie Wei	Keio University	NeuroCore T5: Neuromorphic Intelligence: Circuits, Systems, and Architectures
Farooq Khanday	University of Kashmir	NeuroCore T8: Energy-Efficient Neuromorphic Accelerators for Edge and Cloud
Alberto Marchisio	New York University Abu Dhabi	NeuroCore T9: Brain-Inspired Algorithm–Hardware Co-Optimization
Sichen Tao	Tohoku University	NeuroCore T13: Cognitive Computing Models and Brain‑Derived Algorithms
Khanh Dang	The University of Aizu	NeuroCore T14: Brain‑Inspired Hardware for Cognitive and Adaptive Systems
Xumeng Zhang	Fudan University	NeuroCore T15: Novel Devices for Neuromorphic Computing: Memristors, PCM, RRAM
Xabier Iturbe	IK4-Ikerlan Research Alliance	NeuroCore T16: 3D Integrated and Heterogeneous Neuromorphic

Name	Affiliation / Organization	Special Session
Masatoshi Kawai	Cyberscience Center, Tohoku University	S‑Session 1: Special Session on Performance Optimization and Auto-Tuning (POAT2026)
Jungpil Shin	University of Aizu	S‑Session 2: Emerging Machine Learning and Deep Learning Models: Theory and Applications
Tianrui Ma	Institute of Computing Technology	S-Session 6: Embedded Applications and Ubiquitous Computing
Bahar Farahani	Shahid Beheshti University	S-Session 8: Embedded, Cyber-Physical, and IoT Systems
Muhammad E. H. Chowdhury	Qatar University	S‑Session 9: Embedded Biomedical Engineering
Chun‑Ming Huang	TSRI, NARL	S‑Session 11: Advanced Intelligent Mechatronics and Embedded Neuroprosthesis, Technologies, and Devices
Haoli Zhao	Hebei University of Technology	S‑Session 12: Distributed Computing and Communication Techniques for Emerging AI Applications
Deepika Saxena	University of Aizu	S‑Session 13: Quantum Technology and Machine Learning
Mohamed Hamada	University of Aizu	S‑Session 14: Advances in Intelligent Systems and Learning Technologies
Guo‑Wei Lu	Kyushu University	S‑Session 15: Optical Communications, Devices and Networking
John Blake	Aston University	S‑Session 18: Harnessing AI Tools for Transforming Education
Manjunatha S. Krishnappa	Oracle	S‑Session 24: Human-Centric AI and Intelligent Systems for Sustainable Industry