UCSB Computer Science Professor Subhash Suri

by Rich Kildare

Computer Science Professor Subhash Suri has been awarded an NSF grant for his project “AF: Small: Geometric Methods for Network Science.” The project advocates the use of geometric methods as a promising framework for analyzing scalability and approximation in networks. As Professor Suri explained, “Networks rule our lives, but modeling and analyzing them is messy and complex. Computational geometry, through the familiar notions of space and embedding, offers a helpful perspective and mathematical techniques for us to better understand their structure, control their behavior, and anticipate their flaws.”

The proposed research will significantly broaden the scope of geometric algorithms’ applicability and their relevance to network science. The recently launched NSF IGERT program on Network Science at UCSB will also serve as a focal point for broad impact: the IGERT program will train 25 doctoral students over the next 5 years, across disciplines ranging from computer science to electrical engineering, control theory, geography, molecular biology, social sciences, and communication. The proposed research will add an extremely relevant research component to that IGERT program.

The award includes funding in the amount of $499,897.

At UCSB, Professor Suri directs the Applied Algorithms Lab and the Center for Geometric Computing, with the mission to develop fundamental geometric and network algorithms of broad applicability. Suri is also a Fellow of the Association of Computing Machinery (ACM), the American Association for the Advancement of Science (AAAS), and the Institute of Electrical and Electronics Engineering (IEEE).

To learn more about Professor Suri and his work, visit his website here.