Aayushya Agarwal, Amrit Pandey, and Larry Pileggi received the Best Paper Award in the Bulk Power Generation and Transmission category at the IEEE Power and Energy Society General Meeting that was held as a virtual conference, July 25-29, 2021. The paper was titled: Fast AC Steady-State Power Grid Simulation and Optimization Using Prior Knowledge
CMU SUGAR technology, for analysis and optimization of power systems, gets highlighted in DARPA briefing regarding new technology for black start of grid. https://www.darpa.mil/news-events/2021-02-23
https://www.greentechmedia.com/articles/read/pearl-street-technologies-a-new-tool-to-optimize-the-transmission-grid
J. Sweeney, M.J.H. Heule, L. Pileggi, “Modeling Techniques for Logic Locking,” IEEE International Conference on Computer-Aided Design, November 2020.
S. Li, A. Pandey, S. Kar, L. Pileggi, “A Circuit-Theoretic Approach to State Estimation,” IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), October 2020.
Sweeney, M. J. H. Heule, and L. Pileggi. “Sensitivity Analysis of Locked Circuits,” 23rd International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR-23), May 2020.
The Scott Institute Energy Fellows Program incentivizes, promotes, and rewards Carnegie Mellon University’s most dedicated tenure track energy faculty. There are three levels of fellows: director emeritus, senior fellows and fellows. Each fellow receives funding, resources, and membership in the Scott Institute Fellow Council.
Larry Pileggi is cited in CNN story about Tesla and AC power versus Edison and DC power.
This recognition was received at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, for the following paper: GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid Bryan Hooi (ML/Stat), Dhivya Eswaran (CSD), Hyun Ah Song (MLD), Amritanshu Pandey (ECE), Marko Jereminov (ECE), Larry Pileggi (ECE), Christos Faloutsos (CSD/MLD) http://www.ecmlpkdd2018.org/wp-content/uploads/2018/09/10.pdf […]
Fazle Sadi led a collaborative effort for the Graph Challenge at the 2018 IEEE High Performance Extreme Computing (HPEC) workshop. The recognized work appeared in the following publication: PageRank Acceleration for Large Graphs with Scalable Hardware and Two-Step SpMV – Fazle Sadi, Joe Sweeney, Scott McMillan, Tze Meng Low, James C. Hoe, Larry Pileggi, Franz Franchetti
