Robust Low Power VLSI Group
My research group at UVA is the new Robust Low Power VLSI Group. We have selected this name to indicate our focus on the major problems in circuit design: power and variations. Our research interests include low power digital circuit design, sub-threshold digital circuits, SRAM design for end-of-the-roadmap silicon, variation tolerant circuit design methodologies, and medical applications for low energy electronics. The RLPVLSI group is engaged in projects related to each of these topics.

Please visit our group webpage for more information:
Research Group Webpage

ECE Wiki
In an effort to improve upon the way that information is created, shared, and preserved for graduate students and their advisors, I founded the ECE wiki. The wiki is currently restricted to members. If you are interested in becoming involved, please contact me for more information. If you are an interested student outside of UVA, please have your advisor contact me.

Please use this link to log in to the:
UVA ECE wiki

Current Funded Research

• REESES: Rapid Efficient Energy Scalable ElectronicS for Embedded Applications - funded by DARPA.
• Detection and Tracking of Submerged Hydrodynamic Wakes Using a Bioinspired Hybrid Fluid Motion Sensor Array - funded by ONR.
• Implementable Privacy and Security for Resource-Constrained Devices - funded by NSF.
• SRAM Circuit Design and Optimization at 45nm and Below - funded by C2S2.

Completed Research Projects

• Variation Insensitive Low-Power SRAM Design Using Circuit Adaptation and Tuning - funded by Freescale Semiconductor through the Global Research Collaboration branch of the Semiconductor Research Corporation.
• A Sub-threshold FPGA for Ultra-Low-Power Applications - funded by a DARPA Young Faculty Award.
• Prototyping a Biotelemetric Patch for Medical Applications - funded by the NSF through WiCAT.
• An Ultra-Low Energy Voltage Dithered Processor Core for Medical Sensing Applications - funded by UVA FEST and by the Southeastern Center for Electrical Engineering Education (SCEEE).
• Low-Power SRAM in Deep-Sub-Micron Processes - funded by C2S2.