معرفی
Mircea R. Stan is the Virginia Microelectronics Consortium Professor of Electrical and Computer Engineering at the University of Virginia School of Engineering and Applied Science. He currently serves as Director of UVA's Computer Engineering Program, leading efforts to integrate interdisciplinary research in areas like AI/ML, IoT, and energy-efficient computing. His academic career includes 28+ years at UVA, where he has mentored 26 Ph.D. students and established the High-Performance Low-Power Lab.
Educational Background: Earned Ph.D. and M.S. from University of Massachusetts Amherst (1990s), and a diploma from Polytechnic Institute in Bucharest, Romania. His research focuses on high-performance low-power VLSI systems, spintronic devices, and cross-layer resilience strategies. He is a Fellow of the IEEE and recipient of the NSF CAREER Award.
Research Interests: Pioneers innovations in thermal-aware 3D-IC design (e.g., Cool-3D framework), magnetic racetrack memory, and energy-harvesting systems. Collaborates with the Link Lab (cyber-physical systems) and CRISP (in-memory computing). Current work emphasizes AI-driven hardware for edge computing and fault-tolerant architectures.
Awards: Recognized for contributions to cross-layer resilience (CLEAR initiative), memory system reliability, and energy-efficient computing. His work bridges foundational research with practical applications in biomedical engineering and autonomous systems.
Leadership: Served as interim director of NSF's Division of Translational Impacts (2022-2024) and led UVA's computer engineering program since 2022. Advocates for curriculum integration of AI/ML with traditional EECS disciplines. Spearheading faculty searches to expand capabilities in terahertz systems and neuromorphic engineering.
Labs/Teams: Directs the High-Performance Low-Power Lab and collaborates with the Center for Research in Intelligent Storage and Processing in Memory (CRISP). His team develops open-source tools like PiMulator for PIM emulation and Grapefruit for FPGA-based automata processing.
