Zhuo Feng (ECE/ICC) is Principal Investigator on a project that has received a $500,000 research and development grant from the National Science Foundation. This potential three-year project is titled, “SHF: Small: Spectral Reduction of Large Graphs and Circuit Networks.”
This research project will investigate a truly-scalable yet unified spectral graph reduction approach that allows reducing large-scale, real-world directed and undirected graphs with guaranteed preservation of the original graph spectra. Unlike prior methods that are only suitable for handling specific types of graphs (e.g. undirected or strongly-connected graphs), this project uses a more universal approach and thus will allow for spectral reduction of a much wider range of real-world graphs that may involve billions of elements:
- spectrally-reduced social (data) networks allow for more efficiently modeling, mining and analysis of large social (data) networks;
- spectrally-reduced neural networks allow for more scalable model training and processing in emerging machine learning tasks;
- spectrally-reduced web-graphs allow for much faster computations of personalized PageRank vectors;
- spectrally-reduced integrated circuit networks will lead to more efficient partitioning, modeling, simulation, optimization and verification of large chip designs, etc.
From Tech Today, June 21, 2019
The article “Topology-Specific Synthesis of Self-Stabilizing Parameterized Systems With Constant-Space Processes,” authored by Ali Ebnenasir (SAS/CS) and Alex Klinkhamer, has been accepted for publication in the journal IEEE Transactions on Software Engineering. Read the full article here:
Soner Onder (SAS, CS) will present a keynote address titled “Form Follows Function: The Case for Continuing ILP and General Purpose Computing Research” at the International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XIX), Samos Island, Greece, on July 7, 2019.
The article “Topology-Specific Synthesis of Self-Stabilizing Parameterized Systems With Constant-Space Processes,” authored by Ali Ebnenasir (SAS/CS) and Alex Klinkhamer, has been accepted for publication in the journal IEEE Transactions on Software Engineering. Read the full article here: 
ICC Director Tim Havens (DataS) presented an invited talk, “Explainable Deep Fusion,” at the Technological University of Eindhoven, The Netherlands, on May 7, 2019.
By Karen S. Johnson, ICC Communications Director