The Institute of Mathematical Statistics (IMS) has selected professor Venugopal V. Veeravalli to the IMS Fellowship for outstanding contributions to sequential hypothesis testing and quickest change detection. Veeravalli is a Henry Magnuski Professor in Electrical and Computer Engineering and is affiliated with the Coordinated Science Laboratory (CSL) and the Department of Statistics. Veeravalli's research interests revolve around the theoretical domains of statistical inference, machine learning, and information theory, with applications spanning data science, wireless communications, and cyberphysical systems. 

Professor Veeravalli has been honored as a Fellow of the IEEE and has received numerous accolades for his research and teaching, including the IEEE Browder J. Thompson Best Paper Award, the U.S. Presidential Early Career Award for Scientists and Engineers (PECASE), the Abraham Wald Prize in Sequential Analysis (twice), and the Fulbright-Nokia Distinguished Chair in Information and Communication Technologies.

The IMS was founded in 1935 and now has an estimated 4,700 members worldwide, with approximately 10 percent of the current IMS membership has been named fellowship recipients. The IMS Fellowship nomination process aims to recognize individuals significantly contributing to statistics or probability. Candidates must demonstrate excellence through independent research or leadership in the field, with consideration for those who have made substantial impacts beyond original research or in the application of statistical principles. Nominees must be active members of IMS for at least two years.