Margaret Martonosi, the Hugh Trumbull Adams ’35 Professor of Computer Science, has been elected to the National Academy of Engineering, which is among the highest honors awarded to engineers. In a statement announcing 106 new members, the National Academy said that Martonosi was recognized for “contributions to power-aware and power-efficient computer architecture and mobile systems.”

Martonosi’s research has focused on computer hardware-software interface issues and computer architecture. One of the architects of the Wattch power modeling infrastructure, among the first tools allowing computer scientists to incorporate power consumption into early systems designs, her work helped demonstrate that power needs can and should help shape the design of computing systems, even at early stages of their development and comprehensively from mobile systems to data centers. More recently, Martonosi’s research has also addressed architecture and compiler issues in quantum computing.

She currently is on leave serving as leader of the National Science Foundation’s Directorate for Computer and Information Science and Engineering, one of seven top-level divisions within the NSF. From 2017 until February 2020, she directed Princeton’s Keller Center for Innovation in Engineering Education, a center focused on enabling students across the University to realize their aspirations for addressing societal problems. Martonosi holds seven U.S. patents and has co-written two technical reference books on power-aware computer architecture. In 2018, she was one of 13 co-authors of a National Academies consensus study report on progress and challenges in quantum computing.

Martonosi was inducted as a fellow of the Association for Computing Machinery (ACM) in 2009, and the Institute of Electrical and Electronics Engineers (IEEE) in 2010. She is a member of the American Academy of Arts and Sciences. Among other honors and awards, she has received the IEEE Computer Society Technical Achievement Award, a Jefferson Science Fellowship, and the ACM SIGARCH Alan D. Berenbaum Distinguished Service Award. She received a bachelor’s degree in electrical engineering from Cornell University and master’s and doctoral degrees in electrical engineering from Stanford University. She joined the Princeton faculty in 1994.

In addition to Martonosi, several Princeton alumni were named members of the National Academy of Engineering. They include:

Russell Allgor ’88, BSE in Chemical Engineering 1988

Chief scientist, Worldwide Operations and Amazon Logistics, Amazon. For application of operations engineering to design and improve logistics and fulfillment systems for e-commerce.

Lance Collins ’81, BSE in Chemical Engineering, 1981

Vice President and Executive Director of Virginia Tech’s Innovation Campus and former Joseph Silbert Dean of Engineering, College of Engineering, Cornell University. For contributions to understanding turbulent processes, leadership in engineering, and contributions to the diversity of the profession.

Francis J. Doyle, III ’85, BSE in Chemical Engineering, 1985

The John A. and Elizabeth S. Armstrong Professor and dean, Paulson School of Engineering and Applied Sciences, Harvard University. For insights into natural biological control systems and innovative engineering of diabetes control devices.

Frederick L. Dryer *72, Ph.D. in Mechanical and Aerospace Engineering 1972

Educational Foundation Distinguished Research Professor, Mechanical Engineering, University of South Carolina. For contributions to understanding of combustion processes for propulsion and transportation applications and for fire safety.

Mary C. Hill *78, Ph.D. in Civil Engineering 1978

Professor, Department of Geology, University of Kansas. For contributions to development and application of methods for parameter estimation and sensitivity analysis in hydrologic models.

Jackie Y. Ying *91, Ph.D. in Chemical Engineering, 1991

Executive director, Institute of Bioengineering and Nanotechnology, Singapore. For contributions at the interface of nanostructured materials, nanomedicine, and diagnostic devices to improve human health.

Faculty

  • Margaret Martonosi

Research

  • Computing and Network Systems

  • Data Science

Related Department

  • Computer Science

    Computer Science