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4 Indian Americans among Association for Computing Machinery distinguished members
All honorees were selected for technical achievements and volunteer service within the computing community.
Top (L-R), kaushik chowdhury (Image - University of Texas at Austin), Sreenivas Gollapudi (Image- University of Buffalo); Bottom (L-R), Pavankumar Aduri (Image - Iowa State University), Prateek Mittal (Image - Princeton University). /
The Association for Computing Machinery (ACM) has announced its new class of 56 distinguished members for 2024, including four Indian-Americans— Sreenivas Gollapudi, Pavankumar Aduri, Prateek Mittal, and Kaushik Chowdhury.
The ACM Distinguished Member designation is awarded to computing professionals with at least 15 years of experience who have demonstrated substantial technical achievements and service to the computing community.
Gollapudi, a principal research scientist at Google, was recognized for his “contributions to algorithmic engineering and its applications in information retrieval, game theory, social choice, and transportation.” He joined Google as a research scientist in 2015, before which he worked at Microsoft Research and Oracle. He obtained his B.Tech. from the Indian Institute of Technology, Bombay, and his PhD from the University at Buffalo.
Aduri, interim department chair in the Department of Computer Science at Iowa State University, was recognized for “contributions to computational complexity theory, data stream algorithms, and algorithmic foundations of replicability.”
He joined Iowa State University in 2001 and served as the department’s director of graduate education before his chair appointment. His work seeks to understand computational resources, such as time, memory and randomness, to solve computational problems. Aduri earned his Ph.D. from the University of Buffalo.
Mittal, a professor of electrical and computer engineering at Princeton University, was honored for “For contributions to privacy-preserving and secure systems.” His research has influenced global cybersecurity practices, particularly in encryption protocols and AI safety. He previously received the ACM Grace Murray Hopper Award in 2024 and has earned multiple industry and government honors, including the National Science Foundation CAREER Award.
Chowdhury, a professor at the University of Texas at Austin, specializes in applied machine learning for wireless systems, multimodal sensor fusion, and networked robotics. He was honored for “contributions that advanced the science of spectrum access, sharing, utilization, and protocol design for intelligent radios.” He has led major wireless infrastructure projects and received numerous accolades, including the U.S. Presidential Early Career Award for Scientists and Engineers in 2017.
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