2019 ACM Fellows Recognized for Far-Reaching Accomplishments that Define the Digital Age

December 11, 2019

NEW YORK, Dec. 11, 2019 – ACM, the Association for Computing Machinery, has named 58 members ACM Fellows for wide-ranging and fundamental contributions in areas including artificial intelligence, cloud computing, combating cybercrime, quantum computing and wireless networking. The accomplishments of the 2019 ACM Fellows underpin the technologies that define the digital age and greatly impact our professional and personal lives. ACM Fellows comprise an elite group that represents less than 1% of the Association’s global membership.

“Computing technology has had a tremendous impact in shaping how we live and work today,” said ACM President Cherri M. Pancake in announcing the 2019 ACM Fellows. “All of the technologies that directly or indirectly influence us are the result of countless hours of collaborative and/or individual work, as well as creative inspiration and, at times, informed risk-taking. Each year, we look forward to welcoming some of the most outstanding individuals as Fellows. The ACM Fellows program is a cornerstone of our overall recognition effort. In highlighting the accomplishments of the ACM Fellows, we hope to give credit where it is due, while also educating the public about the extraordinary array of areas in which computing professionals work.”

Underscoring ACM’s global reach, the 2019 Fellows hail from universities, companies and research centers in Australia, Canada, China, Egypt, France, Germany, Israel, Italy, Switzerland, and the United States.

The contributions of the 2019 Fellows run the gamut of the many sub-disciplines of the computing field―including artificial intelligence, cloud computing, computer graphics, computational biology, data science, security and privacy, software engineering, quantum computing, and web science, to name a few.

ACM will formally recognize its 2019 Fellows at the annual Awards Banquet, to be held in San Francisco on June 20, 2020. Additional information about the 2019 ACM Fellows, as well as previously named ACM Fellows, is available through the ACM Fellows site.

2019 ACM Fellows

Scott J. Aaronson
University of Texas
For contributions to quantum computing and computational complexity

Tarek F. Abdelzaher
University of Illinois at Urbana-Champaign
For interdisciplinary contributions that bridge cyber-physical systems, social sensing, real-time computing, and control

Saman Amarasinghe
Massachusetts Institute of Technology
For contributions to high performance computing on modern hardware platforms, domain-specific languages, and compilation techniques

Kavita Bala
Cornell University
For contributions to rendering and scene understanding

Magdalena Balazinska
University of Washington
For contributions to scalable distributed data systems

Paul Beame
University of Washington
For contributions in computational and proof complexity and their applications, and for outstanding service

Emery D. Berger
University of Massachusetts Amherst
For contributions in memory management and programming language implementation

Ronald F. Boisvert
National Institute of Standards and Technology
For contributions to mathematical software and service to the profession

Christian Cachin
University of Bern
For contributions to secure distributed computing and cryptographic protocols

Brad Calder
Google
For contributions to cloud storage, processor simulation, replay, and feedback-directed optimization of systems and applications

Diego Calvanese
Free University of Bozen-Bolzano
For contributions to description logics and their applications in data management and software engineering

Srdjan Capkun
Swiss Federal Polytechnic, Zurich
For contributions to systems and wireless network security

Claire Cardie
Cornell University
For contributions to natural language processing, including coreference resolution, information and opinion extraction

Timothy M. Chan
University of Illinois at Urbana-Champaign
For contributions to computational geometry, algorithms, and data structures

Kanianthra Mani Chandy
California Institute of Technology
For contributions to queueing networks, performance analysis, distributed and parallel programming, and distributed simulation

Xilin Chen
Institute of Computing Technology, Chinese Academy of Sciences
For contributions to face and sign language recognition and multimedia systems

Elizabeth F. Churchill
Google
For contributions to human-computer interaction and service to ACM

Philip R. Cohen
Monash University
For contributions to the theory and practice of multi-agent systems, human-computer dialogue, and multimodal interaction

Vincent Connitzer
Duke University
For contributions to game theory, social choice theory, and mechanism design

Noshir Contractor
Northwestern University
For contributions to advances in computational social science, network science and web science

Matthew B. Dwyer
University of Virginia
For contributions to the specification and analysis of software

Elena Ferrari
University of Insubria
For contributions to security and privacy of data and social network systems

Michael J. Freedman
Princeton University
For contributions to robust distributed systems for the modern cloud

Deborah Frincke
US National Security Agency
For contributions in education, the practice of research, and the leadership of cybersecurity

Lise Getoor
University of California, Santa Cruz
For contributions to machine learning, reasoning under uncertainty, and responsible data science

Maria L. Gini
University of Minnesota
For contributions to robotics and multi-agent systems and a lifelong commitment to diversity in computing

Subbarao Kambhampati
Arizona State University
For contributions to automated planning and human-aware AI systems and leadership within the field

Tamara G. Kolda
Sandia National Laboratories
For innovations in algorithms for tensor decompositions, contributions to data science, and community leadership

Xiang-Yang Li
University of Science and Technology of China
For contributions to the design, analysis and optimization of IoT and mobile systems

Songwu Lu
University of California, Los Angeles
For helping create a more resilient and performant cellular network

Wendy Elizabeth Mackay
University of Paris-Sud
For contributions to human-computer interaction, mixed reality and participatory design, and leadership in ACM SIGCHI

Diana Marculescu
University of Texas at Austin
For contributions to the design and optimization of energy-aware computing systems

Sheila McIlraith
University of Toronto
For contributions to knowledge representation and its applications to automated planning and semantic web services

Rada Mihalcea
University of Michigan
For contributions to natural language processing, with innovations in data-driven and graph-based language processing

Robin R. Murphy
Texas A&M University
For contributions in founding and advancing the field of computing for disasters and robotics

Marc Najork
Google
For contributions to web search and web science

Jason Nieh
Columbia University
For contributions to operating systems, virtualization, and computer science education

Hanspeter Pfister
Harvard University
For contributions to volume rendering, visualization, computer graphics, and computer vision applications

Timothy M. Pinkston
University of Southern California
For contributions to interconnection network routing algorithms and architectures, and leadership in expanding computing research

Mihai Pop
University of Maryland, College Park
For contributions to computational biology, algorithms, and software for DNA sequence analysis and sequence assembly

Andreas Reuter
Heidelberg University/Heidelberg Laureate Forum Foundation
For contributions to database concurrency control and for service to the community

Jeffrey S. Rosenschein
Hebrew University
For contributions to multi-agent systems, in particular, the use of game theory in multi-agent systems

Srinivasan Seshan
Carnegie Mellon University
For contributions to computer networking, mobile computing and wireless communications

Prashant J. Shenoy
University of Massachusetts Amherst
For contributions to the modeling and design of distributed systems

Peter W. Shor
Massachusetts Institute of Technology
For contributions to quantum computing, information theory, and randomized algorithms

Mona Singh
Princeton University
For contributions to computational biology, spearheading algorithmic and machine learning approaches for characterizing proteins and their interactions

Ramesh K. Sitaraman
University of Massachusetts Amherst
For contributions to content delivery networks, distributed systems, and scalable Internet services

Dawn Song
University of California, Berkeley
For contributions to security and privacy

Salvatore J. Stolfo
Columbia University
For contributions to machine-learning-based cybersecurity and parallel hardware for database inference systems

Dacheng Tao
The University of Sydney
For contributions to representation learning and its applications

Moshe Tennenholtz
Technion
For contributions to AI and algorithmic game theory

Giovanni Vigna
University of California, Santa Barbara
For contributions to improving the security of the Internet and combating cybercrime

Nisheeth K. Vishnoi
Yale University
For contributions to theoretical computer science and its connections with mathematics, sciences, and social sciences

Darrell Whitley
Colorado State University
For technical and professional leadership in the field of genetic and evolutionary computation

Yuan Xie
University of California, Santa Barbara
For contributions to the design techniques and tools for the implementation and evaluation of computer architectures

Moustafa Amin Youssef
Alexandria University
For contributions to location tracking algorithms

Carlo A. Zaniolo

University of California, Los Angeles
For contributions to the theory and practice of data and knowledge-base systems

Lidong Zhou
Microsoft Research Asia
For contributions to trustworthy distributed computing and to systems research and education in China

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.


Source: ACM 

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire