ambuj
Distinguished Professor
He/Him/His
ambuj@cs.ucsb.edu
(805)893-3236
3119 Harold Frank Hall
Lab Website
Education
PhD, University of Texas at Austin, 1989
M.S., Iowa State University, 1984
B.Tech, Indian Institute of Technology, Kharagpur, 1982
Campus Affiliations
Biomolecular Science and Engineering Program
Center for Bio-Image Informatics
Information Network Academic Research Center
IGERT on Network Science
Off-Campus Affiliations
Acelot, Inc.
External Publications
UCSB Publications
Awards
Member Editorial Board: IEEE Transactions on Knowledge & Data Engineering, BMC Journal of Clinical Bioinformatics, Journal of Coupled Systems and Multiscale Dynamics
Founder, Acelot, Inc., an in silico drug discovery company based on graph and geometric analysis of Big Data
Merit Scholarship, Government of India
MCD Fellowship, University of Texas at Austin
Research Areas
Database and Information Systems
Human Centered and Social Computing
Machine Learning and Data Mining
Operating Systems and Distributed Systems
Bio

Ambuj K. Singh is a Distinguished Professor of Computer Science at the University of California, Santa Barbara, with a part-time appointment in the Biomolecular Science and Engineering Program. He received a B.Tech. degree from the Indian Institute of Technology, Kharagpur, and a PhD degree from the University of Texas at Austin. His research interests are broadly in the areas of network science, machine learning, social networks, and bioinformatics. He has published 250 technical papers over his career. He has led a number of multidisciplinary projects including UCSB’s Information Network Academic Research Center funded by the Army, Interdisciplinary Graduate Education Research and Training (IGERT) program on Network Science funded by the NSF, and the Multidisciplinary University Research Initiative (MURI) on Network Science of Teams funded by the US Army. He has worked with over 50 graduate and postdoctoral students over his career, including over 30 PhD students.

Research

Much of Professor Singh’s research is around data-centric modeling of systems and he focuses on the development of new methods that can be applied to real-world applications. He enjoys interdisciplinary research and has led numerous such projects including an IGERT on Network Science (funded by the NSF 2013-2018) and UCSB’s Information Networks Academic Research Center (funded by ARL 2009-2014). He has served on the editorial boards of a number of journals and program committees of several conferences. His research has been funded by the NSF, NIH, and the US Army. He currently leads a large research group including undergraduate student, graduate students, and postdoctoral researchers. He participates in the interdisciplinary program in Biomolecular Science and Engineering.