NEW YORK, N.Y., Jan. 14 — ACM has recognized 47 of its members for their contributions to computing that are driving innovations across multiple domains and disciplines.  The 2014 ACM Fellows, who hail from some of the world’s leading universities, corporations, and research labs, have achieved advances in computing research and development that are driving innovation and sustaining economic development around the world.

ACM President Alexander L. Wolf acknowledged the advances made by this year’s ACM Fellows. “Our world has been immeasurably improved by the impact of their innovations.  We recognize their contributions to the dynamic computing technologies that are making a difference to the study of computer science, the community of computing professionals, and the countless consumers and citizens who are benefiting from their creativity and commitment.”

The 2014 ACM Fellows have been cited for contributions to key computing fields including data base mining and design; artificial intelligence and machine learning; cryptography and verification; Internet security and privacy; computer vision and medical imaging; electronic design automation and human-computer interaction.

ACM will formally recognize the 2014 Fellows at its annual Awards Banquet in June 2015, in San Francisco. Additional information about the ACM 2014 Fellows, the awards event, as well as previous ACM Fellows and award winners is available at http://awards.acm.org/.

2014 ACM Fellows:

Samson Abramsky (University of Oxford) — For contributions to domains in logical form, game semantics, categorical quantum mechanics and contextual semantics.

Vikram Adve (University of Illinois at Urbana-Champaign) — For developing the LLVM compiler and for contributions to parallel computing and software security. 

Charles Bachman (Retired) — For contributions to database technology, notably the integrated data store.

Allan Borodin (University of Toronto) — For contributions to theoretical computer science, in complexity, online algorithms, resource tradeoffs, and models of algorithmic paradigms. 

Alan Bundy (University of Edinburgh) — For contributions to artificial intelligence, automated reasoning, and the formation and evolution of representations.

Lorrie Cranor (Carnegie Mellon University) — For contributions to research and education in usable privacy and security.

Timothy A. Davis (Texas A&M University) — For contributions to sparse matrix algorithms and software.

Srinivas Devadas (Massachusetts Institute of Technology) — For contributions to secure and energy-efficient hardware.

Inderjit Dhillon (University of Texas at Austin) — For contributions to large-scale data analysis, machine learning and computational mathematics.

Nikil D. Dutt (University of California, Irvine) — For contributions to embedded architecture exploration and service to electronic design automation and embedded systems.

Faith Ellen (University of Toronto) — For contributions to data structures, and the theory of distributed and parallel computing.

Michael D. Ernst (University of Washington) — For contributions to software analysis, testing, and verification.

Adam Finkelstein (Princeton University) — For contributions to non-photorealistic rendering, multi-resolution representations, and computer graphics.

Juliana Freire (New York University) — For contributions to provenance management research and technology, and computational reproducibility. 

Johannes Gehrke (Cornell University) — For contributions to data mining and data stream query processing.

Eric Grimson (Massachusetts Institute of Technology) — For contributions to computer vision and medical image computing.

Mark Guzdial (Georgia Institute of Technology) — For contributions to computing education, and broadening participation.

Gernot Heiser (University of New South Wales/National Information and Communications Technology Australia (NICTA) Research Centre of Excellence) — For contributions demonstrating that provably correct operating systems are feasible and suitable for real-world use.

Eric Horvitz (Microsoft Research) — For contributions to artificial intelligence and human-computer interaction.

Thorsten Joachims (Cornell University) — For contributions to the theory and practice of machine learning and information retrieval.

Michael Kearns (University of Pennsylvania) — For contributions to machine learning, artificial intelligence, and algorithmic game theory and computational social science.

Valerie King (University of Victoria) — For contributions to randomized algorithms, especially dynamic graph algorithms and fault tolerant distributed computing.

Sarit Kraus (Bar Ilan University) — For contributions to artificial intelligence, including multi-agent systems, human-agent interaction and non-monotonic reasoning.

Leslie Lamport (Microsoft Research) — For contributions to the theory and practice of distributed and concurrent systems.

Sharad Malik (Princeton University) — For contributions to efficient and capable SAT solvers, and accurate embedded software models.

Yishay Mansour (Tel-Aviv University) — For contributions to machine learning, algorithmic game theory, distributed computing, and communication networks.

Subhasish Mitra (Stanford University) — For contributions to the design and testing of robust computing systems.

Michael Mitzenmacher (Harvard University) — For contributions to coding theory, hashing algorithms and data structures, and networking algorithms.

Robert Morris (Massachusetts Institute of Technology) — For contributions to computer networking, distributed systems, and operating systems.

Vijaykrishnan Narayanan (Pennsylvania State University) — For contributions to power estimation and optimization in the design of power-aware systems.

Shamkant B. Navathe (Georgia Institute of Technology) — For contributions to data modeling, database design, and database education.

Jignesh M. Patel (University of Wisconsin, Madison) — For contributions to high-performance database query processing methods, in particular on spatial data.

Parthasarathy Ranganathan (Google Inc.) — For contributions to the areas of energy efficiency and server architectures.

Omer Reingold (Microsoft Research) — For contributions to the study of pseudorandomness, derandomization and cryptography.

Tom Rodden (University of Nottingham) — For contributions to ubiquitous computing and computer supported cooperative work.

Ronitt Rubinfeld (Massachusetts Institute of Technology) — For contributions to delegated computation, sublinear time algorithms and property testing.

Daniela Rus (Massachusetts Institute of Technology) — For contributions to robotics and sensor networks.

Alberto Sangiovanni-Vincentelli (University of California, Berkeley) — For contributions to electronic design automation.

Henning Schulzrinne (Columbia University) — For contributions to the design of protocols, applications, and algorithms for Internet multimedia.

Stuart Shieber (Harvard University) — For contributions to natural-language processing, and to open-access systems and policy.

Ramakrishnan Srikant (Google Inc.) — For contributions to knowledge discovery and data mining.

Aravind Srinivasan(University of Maryland, College Park) — For contributions to algorithms, probabilistic methods, and networks.

Sudarshan (Indian Institute of Technology Bombay) — For contributions to database education, query processing, query optimization and key word queries.

Paul Syverson (Naval Research Lab) — For contributions to and leadership in the theory and practice of privacy and security.

Gene Tsudik (University of California, Irvine) — For contributions to Internet security and privacy.

Steve Whittaker (University of California, Santa Cruz) — For contributions to human computer interaction.

About ACM

ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.

About the ACM Fellows Program 

The ACM Fellows Program, initiated in 1993, celebrates the exceptional contributions of the leading members in the computing field.  These individuals have helped to enlighten researchers, developers, practitioners and end-users of information technology throughout the world. The new ACM Fellows join a distinguished list of colleagues to whom ACM and its members look for guidance and leadership in computing and information technology.

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Source: ACM