Research Areas Biological Morphometrics Computational Statistics Functional Data Analysis Geometric Data Analysis Medical Image Analytics Statistical Shape Analysis

Anuj Srivastava is a member of the JHU Data Science and Artificial Intelligence Institute and will join the Whiting School of Engineering’s Department of Applied Mathematics and Statistics as professor in July 2026. Prior to joining Hopkins, he served for more than 25 years in the faculty at Florida State University, where he was Professor and Distinguished Research Professor. He has also held visiting professorships at leading European institutions, including INRIA (France), the University of Lille (France), and Durham University (UK).

Srivastava’s research interests span shape analysis, functional data analysis, geometric data science, and mathematical foundations of AI. He is widely recognized for pioneering the elastic shape analysis framework, a mathematical toolkit for analyzing the shapes of functions, curves, and surfaces. This methodology has become influential across disciplines and has supported scientific advances in areas such as bioinformatics, human anatomy, biomechanics, neuroscience, and computer vision.

A sought-after speaker, Srivastava has delivered keynote lectures at major statistics, mathematics, and imaging conferences, including the Royal Statistical Society (RSS) Annual Meeting, the IEEE International Conference on Image Processing (ICIP), and Harvard CMSA’s workshop series on morphometry. He has presented seminars at more than 90 universities worldwide. As a dedicated mentor, he has supervised over 40 doctoral students. He was twice the recipient of the Graduate Mentor Award for doctoral advising at FSU. He was the national Chair of American Statistical Association section on Imaging Science in 2020.

Srivastava is a fellow of several leading scientific societies, including the American Association for the Advancement of Science (AAAS), Institute of Mathematical Statistics (IMS), American Statistical Association (ASA), Institute of Electrical and Electronics Engineers (IEEE), and the International Association of Pattern Recognition (IAPR). He is also a recipient of a Fulbright Scholarship from the Franco-American Fulbright Commission.

He earned his bachelor’s degree in Electronics Engineering from IIT-BHU (India) and went on to complete his MS and PhD in Electrical Engineering at Washington University in St. Louis. He then conducted postdoctoral research in Applied Mathematics at Brown University before joining the faculty at Florida State University. In 2024, he received the Distinguished Alumnus Award from IIT-BHU.