Three MIT pc science college members have been elected as fellows of the Affiliation for Computing Equipment (ACM).
The brand new fellows are amongst 95 ACM members acknowledged as the highest 1 p.c for his or her excellent accomplishments in computing and knowledge expertise and/or excellent service to ACM and the bigger computing neighborhood. Fellows are nominated by their friends, with nominations reviewed by a distinguished choice committee.
Anantha Chandrakasan is dean of the College of Engineering and the Vannevar Bush Professor of Electrical Engineering and Pc Science. He leads the MIT Power-Environment friendly Circuits and Methods Group, which works on a wide range of tasks comparable to ultra-low-power internet-of-things gadgets, energy-efficient processors, machine studying processors, {hardware} safety for computing gadgets, and wi-fi programs. He was acknowledged as a 2020 ACM fellow for energy-efficient design methodologies and circuits that allow ultra-low-power wi-fi sensors and computing gadgets.
Alan Edelman is an utilized arithmetic professor for the Division of Arithmetic, the Utilized Computing Group chief for the Pc Science and Synthetic Intelligence Laboratory, and co-founder of the Julia programming language. His analysis contains high-performance computing, numerical computation, linear algebra, random matrix idea, and scientific machine studying. He was acknowledged as a 2020 ACM fellow for contributions to algorithms and languages for numerical and scientific computing.
Samuel Madden is the MIT Schwarzman Faculty of Computing Distinguished Professor of Computing. Madden’s analysis is within the space of database programs, specializing in database analytics and question processing, starting from clouds to sensors to fashionable high-performance server architectures. He co-directs the Knowledge Methods for AI Lab initiative and the Knowledge Methods Group, investigating points associated to programs and algorithms for information specializing in making use of new methodologies for processing information, together with making use of machine studying strategies to information programs and engineering information programs for making use of machine studying at scale. He was acknowledged as a 2020 ACM fellow for contributions to information administration and sensor computing programs.
