
Shobha Vasudevan is an associate professor in the department of Electrical and Computer Engineering, and an affiliate in Computer Science at the University of Illinois at Urbana-Champaign. Her research interests span reliability of systems and machine learning algorithms. She has won several best paper awards including one at DAC 2014, one at VLSI Design 2014 and several best paper nominations. Her other honors include the NSF CAREER award, ACM SIGDA Outstanding New Faculty Award, IEEE CEDA early career award, IBM faculty award, Dean’s award for research excellence in UIUC, and a YWCA/UIUC award for service to women in engineering. GoldMine, a verification software from her group has been developed into a commercial product since 2014 and has been licensed by multiple semiconductor and electronic design automation companies from UIUC. She conceptualized MyTri, a professional networking portal for women engineers in UIUC. She is a technical consultant for several companies. She enjoys mentoring young women engineers and scientists, and young women who can be future engineers and scientists.
M.S: Electrical and Computer Engineering, The University of Texas at Austin
B. E: Bachelors in Computer Engineering, University of Mumbai, India
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Research Agenda
My research interest is in algorithms for analysis at scale. I am interested in solving complex real world problems in computing whose solutions are difficult to scale. In my research group, we apply our research to solve problems in hardware and software verification, computational genomics, enterprise security, cloud reliability, automotive validation, autonomous vehicle and robot path planning, health care and neural network architecture reliability. In each case, the algorithms we have invented have been different- search, modeling, optimization, formal methods, causal inferencing, feature engineering, supervised and unsupervised learning among many others. We innovate with the purpose of solving high impact problems of tomorrow.
Research Themes
Verification and Reliability
Ongoing and future directions
These are the challenges we are currently thinking about. If you want to collaborate with us or join our research group, please send me an email with a brief description of yourself and where you see a potential opportunity.

Autonomous
vehicles

Neural
networks

Machine
learning

Heath care
analytics