| Department |
Electrical and Computer Engineering |
|---|---|
| Office | 2113 Hamerschlag Hall |
| Telephone | (412)-268-6774 |
| Fax | (412)-268-1374 |
| pileggi@ece.cmu.edu | |
| Website | http://www.ece.cmu.edu/~pileggi/ |
| Assistant | Holly Skovira |
As the electric power grid becomes "smarter" and more complex, ensuring its reliability and security becomes increasingly more challenging. While a grid that is comprised of transmission lines, load impedances and generators would seem to naturally fit an equivalent circuit representation, the evaluation of power flow has been traditionally performed in terms of real and reactive power abstractions. Dr. Pileggi's group has established a new paradigm for power systems based on an equivalent circuit representation that enables new methods for control, resilience, redundancy allocation and more that are correlated with the physics-based behavior of the electric grid and that benefit from the application of advanced Machine Learning (ML) techniques.
As we approach the end of integrated circuit (IC) scaling, there is great interest in enabling design and cost trade-offs with end-of-roadmap CMOS, while also exploring integration with emerging post-CMOS technologies. Toward this goal it is important for research exploration to concurrently consider the circuit and device possibilities that will impact specific architectures and application opportunities. Dr. Pileggi's group is investigating new CMOS design methodologies and application of post-CMOS technologies for a myriad of applications that span from futuristic circuit architectures to nanoscale probes for brain interaction and mapping.
Carnegie Mellon, 1996
Circuits/CAD/VLSI
Design, implementation and modeling of electronic integrated systems
PhD, 1989
Electrical and Computer Engineering
Carnegie Mellon University
MS, 1984
Electrical Engineering
University of Pittsburgh
BS, 1983
Electrical Engineering
University of Pittsburgh
