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.”

Larry Pileggi to receive the 2015 SIA University Research Award

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Larry Pileggi has been chosen to receive the 2015 SIA University Research Award. This award was established in 1995 by the Semiconductor Industry Association (SIA) to recognize lifetime research contributions to the U.S. semiconductor industry by university faculty.  The SIA board members are CEOs and executive VPs of major semiconductor companies. The award is  will be  presented later in 2015 at an SIA  Board of Directors meeting .

https://www.src.org/award/university-researcher/

 

Tom Jackson and Vehbi Calayir receive award at SONIC

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Tom Jackson and Vehbi Calayir received the John Bardeen Award at the StarNET SONIC review for their collaborative project with researchers at Stanford: “A Cellular Neural Network using CMOS Neurons and RRAM/PCM Synapses.” The group of Thomas Jackson, Vehbi Calayir, S. Burc Eryilmaz, Joon Sohn, Zizhen Jiang, Clare Chen, Ethan Ahn, under the direction of Professors H.-S. Philip Wong and Larry Pileggi, designed and fabricated a Cellular Neural Network chip in 65nm CMOS with deposition of RRAM at Stanford for integration of artificial synapses.

Qiuling (Jolin) Zhu presents paper that receives 2013 HPEC Best Paper Award

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Qiuling (Jolin) Zhu, Tobias Graf, H. Ekin Sumbul, Larry Pileggi and Franz Franchetti received a best paper award at the Seventeenth Annual High Performance Embedded Computing (HPEC) Workshop at MIT Lincoln Laboratory for their paper titled: A Logic-in-Memory Accelerated 3D-DRAM for Sparse Matrix-Matrix Multiplication. Jolin Zhu presented the paper and accepted the award.

Pileggi Receives Benjamin Richard Teare Teaching Award

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Larry Pileggi received the B.R. Teare Teaching Award that is made to a faculty member within the Carnegie Institute of Technology in recognition of excellence in engineering education. Fred Higgs of Mechanical Engineering also received the award for this year.

More details can be found at: http://www.cit.cmu.edu/faculty_staff/faculty_awards/teare.html.

Pileggi Receives ACM/IEEE Impact Award

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Tanoto Professor of ECE Larry Pileggi has received the ACM/IEEE A. Richard Newton Technical Impact Award in Electronic Design Automation for his paper, “PRIMA: Passive Reduced-Order Interconnect Macromodeling Algorithm.” The award, presented by the ACM Special Interest Group on Design Automation and the IEEE Council on Electronic Design Automation, honors a person or persons for outstanding technical contribution within the scope of electronic design automation, as evidence by a paper published at least 10 years before the award’s presentation. The award is based on the impact of the contribution.

For Pileggi and co-authors Altan Odabasioglu and Mustafa Celik, that impact came from their PRIMA algorithm, which created simplified interconnect macromodels via dominant pole/zero methods. Since the paper was published in IEEE Transactions on Computer-Aided Design of Integrated Circuits in 1998, it has been cited more than 1,100 times, and the software tool Pileggi’s group developed based on the algorithm has been licensed by more than 10 companies. The work has also become the foundation of many new research directions that have spurred at least six “best paper” awards in the last nine years.

The ACM/IEEE A. Richard Newton Technical Impact Award in Electronic Design Automation honors A. Richard Newton, a design automation luminary in academia and industry. Pileggi and his co-authors will accept the award at the opening ceremony of the 2012 Design Automation Conference on Tuesday, June 5, in San Francisco.