Best Student Data Mining Paper Runner Up in ECML/PKDD

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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

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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

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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

Students and Post-Docs Receive CAD Contest Prize

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ECE students Mehmet Isgenc and Joe Sweeney with post-docs Mayler Martins and Sam Pagliarini won first place at the International Conference in Computer-Aided Design (ICCAD) CAD contest. The team, under the guidance of ECE professor Larry Pileggi, took first place in Problem C: Pattern Classification for Integrated Circuit Design Space Analysis, with a $5000 prize. The 2016 CAD Contest at ICCAD is a challenging, multi-month, research and development competition, focused on advanced, real-world problems in the field of Electronic Design Automation. Multi-person teams from across the world compete in the contest. 

http://ieee-ceda.org/images/Awards/Nomination_forms/CEDANL-MAR17-2.pdf

Tom Jackson, Rongye Shi and Abhishek Sharma received John Bardeen Award at SONIC Annual Review

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All student presentations at the SONIC YR3 Annual Review Meeting (held on September 30 and October 1, 2015) were eligible for one of the following research awards – The Shannon Award for Excellence in Systems Research, The von Neumann Award for Excellence in Architectures Research, and The Bardeen Award for Excellence in Circuits and Devices Research. The award winners were selected by an Awards Selection Committee comprised of members from several industry and government sponsors. The winning project for Tom Jackson, Rongye Shi and Abhishek Sharma (Faculty Advisors – Larry Pileggi and Jeff Weldon) was entitled SONIC YR 3 Annual Review Meeting Student Research Award Winners “Oscillatory Neural Networks Based on Emerging Technologies.”