Welcome to the Advanced Computing Systems (ACS) Lab!
The rapidly advancing field of computing technology demands continuous innovation to meet society's growing needs while ensuring sustainability and energy efficiency. The ACS Lab stands as a pioneering research facility dedicated to the advancement of computing technologies. Serving as a collaborative hub for students, faculty, and industry partners, our mission is to transform high-power, general-purpose computing into low-power, domain-specific solutions. Our primary focus lies in the research and development of innovative architectures and edge solutions, aiming to enhance computational efficiency and performance while significantly reducing energy consumption.
Our research is currently dedicated to addressing these critical challenges by focusing on four main research topics:
Join Us
We welcome visionary researchers, passionate innovators, and especially graduate students who aspire to shape the future of computing and contribute meaningfully to society. If you're driven by curiosity and eager to explore new frontiers in neuromorphic engineering, AI hardware, and advanced system architectures, we invite you to explore our research position opportunities.
We also encourage applications from engineers with a strong entrepreneurial spirit; those excited to transform cutting-edge research into impactful technologies and ventures.
Recent Publications
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"Cluster-Based Blockchain and Dynamic V2V Offloading for Optimized V2G Energy Trading"
IEEE Transactions on Intelligent Transportation Systems (Accepted for publication).
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"NHURO-MT: Event-Driven Reflexive Multithreading for Resource-Constrained Humanoid Platforms"
9th International Conference on Knowledge Innovation and Invention (ICKII 2026), August 14-16, 2026. Best Conference Paper Award
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"GreenMorph: Sustainable Neuromorphic Computing through Energy-Harvesting and Energy-Driven Online STDP Learning"
2026 IEEE ISCAS, May 24-27, 2026.
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"Edge-Driven Dynamic Two-Tier Blockchain for Energy Trading in Vehicle-To-Grid Networks"
IEEE Transactions on Vehicular Technology, vol. 75, no. 4, pp. 5474-5487, April 2026.
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Keynote: "Neuromorphic AI for Embodied Systems: Event-Driven Intelligence for Prosthetics and Humanoids"
The 10th International Conference on Robotics, Control and Automation (ICRCA 2026), Osaka University, March 29, 2026. [PDF]
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Book: Neuromorphic Computing: Principles and Organization, 2nd Edition
Springer, Second Edition, 2025. Hardcover, 307 pages | ISBN-10: 3031830881 | ISBN-13: 978-3031830884
