Research & Exploration
The High-Performance Low-Power (HPLP) Laboratory, led by Professor Mircea Stan, is dedicated to research in the areas of Artificial Intelligence (AI) hardware and edge IoT. Ongoing research spans a wide range of topics, from Processing-in-Memory (PiM), low-power hardware accelerator design, and Smart Dust, to explorations in spintronics and nanoelectronics.
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UVERS ’25: Edge Computing on Everyday Devices Is Just One of This Year’s Winning Papers
Read NowThe prospect of running powerful machine learning models on everyday devices was just one of the exciting developments presented at UVA Engineering’s annual research paper and poster symposium.
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The Power of Low-Energy Coding Techniques
Read NowMircea Stan’s first-authored paper on using code to reduce power consumption in electronics won the IEEE A. Richard Newton Technical Impact Award.
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Professor Mircea Stan Appointed Director of UVA’s Computer Engineering Program
Read NowStan envisions a computer engineering program that balances fundamentals with cutting-edge hardware systems and software applications.
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University of Virginia and Penn State Researchers Launch Program to Develop New Hardware System
Read Now$1.5 million grant from the National Science Foundation’s ASCENT program supports their research.
Our Faculty
Mircea R. Stan
Mircea R. Stan is teaching and doing research in the areas of AI hardware, Processing in Memory, Cyber-Physical Systems, Computational RFID, Low Power, Spintronics, and Nanoelectronics.
Available Positions
The HPLP lab is currently looking for innovative, hard working and intelligent professionals who are interested in Processing in Memory, FPGA applications, AI and Deep Nueral Networks and ultra low power circuit design. Prospective students and researchers can contact the lab at mircea@virginia.edu for more information about joining our group.