Ramtin Zand
استادیار · Hardware Design for Machine Learning Systems
University of South Carolinaمعرفی
Ramtin Zand is an Assistant Professor in the Department of Computer Science and Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. His research focuses on hardware design for machine learning systems, neuromorphic computing, emerging nanoscale electronics (e.g., spintronic devices), and energy-efficient VLSI circuits. He leads the ICAS Lab, which explores reconfigurable architectures and low-power computing solutions.
Education:
- Ph.D., Computer Engineering, University of Central Florida (2019)
- M.S., Electrical Engineering, Sharif University of Technology (2012)
Research Interests: Dr. Zand’s work spans hardware-software co-design for AI, neuromorphic systems, and novel devices like MRAM and memristors. He emphasizes practical applications such as manufacturing anomaly detection, edge computing, and energy-efficient neural network deployment.
Recent Trends in Articles: His publications emphasize hybrid PIM architectures, LLM-driven hardware design, and neuromorphic edge systems. Themes include optimizing communication efficiency, leveraging memristive crossbars, and bridging vision transformers with embedded platforms.
Grants/Funding:
- Funded by AFRL for smart manufacturing projects
- ONR grants for perception systems research
- NSF support for in-memory computing
Labs/Teams: The ICAS Lab collaborates on projects such as neuromorphic accelerators and low-power sensor systems. Recent milestones include DAC 2025 awards and CVPR 2025 demonstrations.
