Pileggi Named to the National Academy of Inventors

The National Academy of Inventors has elected Larry Pileggi from Carnegie Mellon University to its 2021 cohort of fellows.

The NAI Fellows Program was established to highlight academic inventors who have demonstrated a prolific spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on quality of life, economic development and the welfare of society. Election to NAI Fellow status is the highest professional distinction accorded solely to academic inventors.

https://www.ece.cmu.edu/news-and-events/story/2021/12/pileggi-nai-fellow.html

Winner of Best Paper Award at PES 2021

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 Technologies to Rapidly Restore the Electrical Grid after Cyberattack

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

Carnegie Mellon spinout raises funds for integrated-circuit modeling tech adapted to model renewables-rich power grids

https://www.greentechmedia.com/articles/read/pearl-street-technologies-a-new-tool-to-optimize-the-transmission-grid

The Scott Institute Energy Fellows Program

 

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.

 

Best Student Data Mining Paper Runner Up in ECML/PKDD

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

The paper solves two related problems: (a) it gives fast algorithms to detect anomalies in power-grid networks, for a given set of voltage and current sensors placed on some nodes and edges; and (b) it shows where to put such sensors, to maximize detection probability.

Students receive innovation award for Graph Challenge at IEEE HPEC 2018

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

Pandey, Jereminov, Hug and Pileggi receive 2017 PES Prize Paper Award

Carnegie Mellon University team recognized with a Prize Paper Award at the Power and Energy Society (PES) General Meeting in Chicago IL, July 17, 2017. Their paper was titled: Improving Power Flow Robustness via Circuit Simulation Methods. 

2017 PES award