Department of Electrical and Computer Engineering
Office: EERC 513
Voice: (906) 487-3116
Email: zhuofeng at mtu dot edu
Group Website: VLSI Design Automation Group
Zhuo Feng received the Ph.D. degree in Electrical and Computer Engineering from Texas A&M University, College Station, TX in 2009, the M.Eng. degree in Electrical and Computer Engineering from National University of Singapore, Singapore, in 2005 and the B.Eng. degree in Information Engineering from Xi'an Jiaotong University, China, in 2003. As of July 2009, he has been a faculty member at the Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI, where he is affiliated with the Computer Engineering Group. He received a Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF) in 2014, a Best Paper Award from ACM/IEEE Design Automation Conference (DAC) in 2013, and two Best Paper Award Nominations from IEEE/ACM International Conference on Computer-Aided Design (ICCAD) in 2006 and 2008. He has served on the technical program committees of major international conferences related to electronic design automation (EDA), including DAC, ICCAD, ASP-DAC, ISQED, and VLSI-DAT, and has been a technical referee for many leading IEEE/ACM journals in VLSI and parallel computing. He also serves as a panelist/reviewer for the National Science Foundation (NSF) and Department of Energy (DoE). He is a Senior Member of IEEE. In 2016, he became a co-founder of LeapLinear Solutions to provide highly scalable software solutions for solving sparse matrices and analyzing graphs (networks) with billions of elements, based on the latest breakthroughs in spectral graph theory.
(06/2019) We presented our work "Effective-resistance Preserving Spectral Reduction of Graphs" at Design Automation Conference. (Slides)
(05/2019) We received a three-year CCF grant SHF: Small: Spectral Reduction of Large Graph and Circuits Networks from National Science Foundation.
(12/2018) Our latest papers, "Towards Scalable Spectral Sparsification of Directed Graphs", and "Nearly-Linear Time Spectral Graph Reduction for Scalable Graph Partitioning and Data Visualization", are now available on arXiv!
(10/2018) Invited seminar: Professor Feng gave an HC Torng Lecture at the Department of Electrical and Computer Engineering, Cornell University.
(06/2018) Ying Zhang, Ali Aghdaei and Yunxiang Peng joined the group as new PhD students. Welcome!
(12/2017) We received a research award from Keysight Technologies that will support our work on spectral methods for radio-frequency integrated circuit partitioning and analysis.
(11/2017) Invited seminar: Professor Feng gave a seminar talk at the Department of Computer Science and Engineering, University of California San Diego.
(11/2017) Our latest paper, "Similarity-Aware Spectral Sparsification by Edge Filtering", is now available on arXiv!
(10/2017) Our latest paper, "Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification", is now available on arXiv!
(10/2017) Invited seminar: Professor Feng gave a seminar talk at the Department of Electrical and Computer Engineering, Duke University.
(09/2017) Our spectral graph sparsification engine is available for download now! It can robustly preserve the important spectral (structural) graph properties while dramatically reducing the complexity of general large-scale networks, such as social networks, big data graphs, VLSI circuit networks, etc. Check it out!
(09/2017) Prof. Feng is organizing the International Workshop on Design Automation for Analog and Mixed-Signal Circuits. This workshop is co-located with the 2017 International Conference on Computer-Aided Design (ICCAD). The deadline for poster abstract submissions is September 25, 2017.
(07/2017) Prof. Feng gave a research talk entitled: "Towards Practically-Efficient Spectral Sparsification of Graphs" at the SIAM Annual Meeting (AN17) and Carnegie Mellon University, Pittsburgh, PA.
GRASS: GRAph Spectral Sparsifier (download link)
2019 S: EE5496 GPU and Multicore Programming
2018 F: EE4271 VLSI Design
2018 S: EE5900 Computational Methods for Big Data Networks
Technical Program Committee Member for:
ACM/IEEE Design Automation Conference (DAC), 2014, 2015, 2016, 2018
IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2015, 2016, 2017
Technical Referee for:
Other Professional Services:
Panelist/Reviewer for NSF and DoE, 2012-
Best Paper Selection Committee, ACM/IEEE Design Automation Conference (DAC)
Several Research/Teaching Assistant (RA/TA) positions are immediately available.
Last updated in June 2019. Copyright by Zhuo Feng.