2024 ACM Fellows Honored for Transformative Contributions to Computing
Members Cited for Work in Diverse Areas Including Cybersecurity, Artificial Intelligence, Human-Computer Interaction, Machine Learning, and Programming Languages
"Computing technology has had a tremendous impact in shaping how we live and work today," said ACM President Yannis Ioannidis. "The ACM Fellows program honors the creativity and hard work of ACM members whose specific accomplishments drive innovation and make broader advances possible. In announcing a new class of Fellows each year, we celebrate the impact some of our community's pioneers make and highlight the many technical areas of computing in which they work."
In keeping with ACM's global reach, the 2024 Fellows represent universities, corporations, and research centers in
ACM will formally recognize the 2024 Fellows at its annual Awards Banquet on
2024 ACM Fellows
For contributions to computer graphics and geometry processing.
For contributions to the foundations of data management.
For contributions to cybersecurity and internet measurement.
For contributions to advances in statistical machine learning and its applications in science.
For contributions to the theory, implementation, and application of SMT solving.
Susanne Bødker, Aarhus University
For contributions to participatory design, computer-supported collaborative work, and human-computer interaction.
For contributions to the foundations and practice of software development tools.
For contributions to formal reasoning for quality software development at scale.
For contributions to spatial data management, spatial crowdsourcing, and deep learning frameworks.
For contributions to network influence maximization and combinatorial online learning.
Carla Fabiana Chiasserini, Politecnico di
For contributions to the design of high-performance mobile networks and services.
For contributions to machine learning and digital health.
For contributions to quantum computer architecture, compilation and optimization.
For pioneering leadership in the design of the Arpanet Host-Host Protocols and applications.
For contributions to 3D shape and appearance capture and reconstruction and to computational photography.
For contributions to formal methods, concurrent games, and reputation systems.
For contributions to information retrieval and leadership in public-private research collaborations in computer science.
For contributions to multimedia security, image and video compression, and image-based dietary assessment.
For contributions to foundations of self-organization in wireless communication protocols in IoT and vehicular applications.
For contributions to the logical and semantic foundations of programming languages.
Niklas Elmqvist, Aarhus University
For contributions to ubiquitous, immersive, and human-centered AI technologies for data visualization.
For contributions to algorithmic game theory and the interface between computer science and economics.
For contributions to applications of programming languages to networking.
For contributions to algorithms for social networks, market design, and civic platforms, bridging theory and real-world impact.
For contributions to streaming and approximation algorithms and their applications.
For contributions to information visualization, human-centered data science, and interactive machine learning.
For contributions to Internet security standards, and leadership in the IETF.
For contributions in user interface software, interactive devices, and computational fabrication applied to HCI.
Mohan Kankanhalli, National University of Singapore
For contributions to multimedia content processing and multimedia security.
For contributions to the theory and applications of machine learning in social computing.
For contributions on social network systems, and outstanding leadership in the ACM SIGCHI community.
For contributions to the theory of algorithms, approximation algorithms, algorithmic mechanism design, and community service.
For contributions to human-in-the-loop data integration and learning-based database systems.
For technical leadership in advancing augmented intelligence and machine learning for aerospace and automotive systems.
For contributions to the foundation and application of AI to software engineering.
For contributions to programming languages and software analysis with applications in distributed systems, cybersecurity, and artificial intelligence and for contributions to learning-based code completion.
For contributions to intelligent service-centric sensing and sustainable data processing in large-scale IoT networks.
For contributions to requirements engineering, improving software development practices and user experiences.
For contributions to the science and engineering of reasoning about programs.
For contributions to the field of scalable data management systems.
For contributions to the theory and practice of randomized algorithms.
For contributions to high-performance and scalable communication in parallel and high-end computing systems.
For contributions to algorithms and systems for modeling and forecasting significant societal events.
For contributions to the theory of Markov chains and programmable active matter.
For contributions to software testing and analysis, including automated program repair and fuzz testing.
For contributions to scientific and information visualization and to geometric computing.
For contributions to and leadership in the wearable computing research community.
For contributions to multimedia information retrieval, computer vision, and AI for scientific computing.
For contributions to the theory of multipath congestion control, its practical realization, and its deployment.
Haixun Wang, EvenUp Law
For contributions to on graph-based systems and their application to text understanding.
For contributions to embedded AI and mobile computing systems.
For contributions to the theories and practices of networked embedded sensing and Internet of Things.
For contributions to cloud computing and query processing.
For contributions to data structures and algorithms for efficient search and storage.
For contributions to programming language systems include run-time performance, security, and usability in programming.
About ACM
ACM, the Association for Computing Machinery www.acm.org, 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 Association For Computing Machinery, Inc.
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