Computer Science

The CLIP laboratory at Maryland is engaged in designing algorithms and building systems which allow computers to effectively and efficiently perform human language-related tasks and is part of the broader language science initiative at Maryland. The lab is a part of the University of Maryland Institute for Advanced Computer Studies (UMIACS), and is composed of faculty, researchers, and students spanning multiple departments.

We're located in AVW 3126. The group’s research covers most of the major areas of language research, including but not limited to speech recognition, handwriting and optical character recognition, multilingual text processing such as machine translation, and language data exploitation applications including document summarization, sense-making across structured data such as ontologies and thesauri, information retrieval, ranking and personalization, and computational social science.

The Information Sciences Institute (ISI) is a world leader in research and development of advanced information processing, computer and communications technologies.

A unit of the University of Southern California’s highly ranked Viterbi School of Engineering, ISI is one of the nation’s largest, most successful university-affiliated computer research institutes. The Institute attracts nearly $60 million annually for basic and applied research from federal agencies and the private sector.

Our work ranges from theoretical basic research, such as core engineering and computer science discovery, to applied research and development, such as design and modeling of innovative prototypes and devices.

The Center for Brains, Minds and Machines (CBMM) is a National Science Foundation funded Science and Technology Center focused on the interdisciplinary study of intelligence. This effort is a multi-institutional collaboration headquartered at the McGovern Institute for Brain Research at MIT, with managing partners at Harvard University.

We aim to create a new field — the Science and Engineering of Intelligence — by bringing together computer scientists, cognitive scientists, and neuroscientists to work in close collaboration. This new field is dedicated to developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding.

One great thing about Berkeley is the endless supply of energy and ideas that flows through the place — always bringing changes, building on what came before. In that spirit, we’re fired up to announce the Berkeley RISELab, where we will focus intensely for five years on systems that provide Real-time Intelligence with Secure Execution.

Our mission in the RISELab is to develop technologies that enable applications to interact intelligently and securely with their environment in real time.

CLiPS (Computational Linguistics & Psycholinguistics) is a research center associated with the Linguistics department of the faculty of Arts of the University of Antwerp, and is the result of the fusion of the CNTS and CPL research centers.

Most of the CLiPS research is based on competitively acquired research funding. Funding agencies include the Research Foundation - Flanders, the Institute for the Promotion of Innovation by Science and Technology in Flanders, the Dutch Language Union, the European Commission and occasionally companies.

The goal of CLiPS is to produce internationally recognized top research and resources in (developmental) psycholinguistics, (corpus) linguistics, and computational linguistics, and to investigate the interdisciplinary combinations of these disciplines.

The Text Information Management and Analysis (TIMAN) group is part of the Database and Information Systems (DAIS) Lab of the Computer Science Department at University of Illinois at Urbana-Champaign. We work on a wide spectrum of problems in the general area of text information management and analysis , including retrieval, organization, filtering , summarization, and mining of textual information, aiming at developing advanced text information management and analysis techniques and systems that help people make better use of text information.

The Information Retrieval and Data Science Group’s (I.R.D.S.) mission is to research and develop new methodology and open source software to analyze, ingest, process, and manage Big Data and to turn it into information. We contribute to the world’s largest and most often downloaded open source software projects, we apply tried and true techniques including content detection and analysis, crawling, deduplication, similarity, named entity recognition, construction of inverted indices, query analysis, search, relevancy and ranking, interactive query analysis, and management of large data sets. We have expertise in data collection, working with NASA, DARPA, DHS, NIH across a number of domains, Earth Science, Planetary Science, Astronomy, defense, and private industry.

The Mizar project started around 1973 as an attempt to reconstruct mathematical vernacular in a computer-oriented environment.

Since 1989, the most important activity in the Mizar project, apart from continual improvement of the Mizar System, has been the development of a database for mathematics. International cooperation (the main partners: Shinshu University in Nagano and University of Alberta in Edmonton) resulted in creating a database which includes more than 9400 definitions of mathematical concepts and more than 49000 theorems (see Megrez MML Browsing for more statistics).

In the HIPS group, we are interested in building intelligent algorithms. What makes a system intelligent? Our philosophy is that "intelligence" means making decisions under uncertainty, adapting to experience, and discovering structure in high-dimensional noisy data. The unifying theme for research in these areas is developing new approaches to statistical inference: uncovering the coherent structure that we cannot directly observe and using it for exploration and to make decisions or predictions. We develop new models for data, new tools for performing inference, and new computational structures for representing knowledge and uncertainty.

The Lab is the major innovation department at the UK Met Office, combining scientists, technologists and designers to make environmental science and data useful across multiple sectors. The team works with the likes of NASA, Amazon, Microsoft and UK Government Departments to build prototypes and create new approaches and tools to solve problems and deliver transformation.

We rapidly develop prototypes which explore how we can use new technology, science and design to make our data useful. We innovate by making things which explore and demonstrate new ideas. Our group comprises people with backgrounds in data science, technology and design. However, we leave our job titles at the door, and all pitch in working closely together to make things happen. In additon, we explore new ways of working to find out how we can be productive and innovative.

The Visualization and Graphics Lab is an informal group of faculty and students that meet regularly to discuss and work on research in the data visualization and graphics fields. If you are interested in joining our group, please contact us or stop by one of our regular meetings.

The Quantum Architectures and Computation group is a team of leading quantum computer scientists and engineers dedicated to developing real-world quantum algorithms, understanding their implications, and designing a comprehensive software architecture for programming such algorithms on a scalable, fault-tolerant, quantum computer. Our mission is to advance our understanding of quantum computing and its applications and implementation.

The QuArC group collaborates closely with Microsoft Research Station Q in Santa Barbara and several universities worldwide, including TU Delft (Leo Kouwenhoven), Niels Bohr Institute (Charlie Marcus), and the University of Sydney (David Reilly).

As a Department of Defense Research and Development Laboratory, MIT Lincoln Laboratory conducts research and development aimed at solutions to problems critical to national security. In 2016, the Laboratory celebrated its 65th anniversary of service to the nation.

The areas that constitute the core of the work performed at Lincoln Laboratory are sensors, information extraction (signal processing and embedded computing), communications, and integrated sensing and decision support, all supported by a broad research base in advanced electronics.

Research at the Laboratory includes projects in air and missile defense, space surveillance technology, tactical systems, biological and chemical defense, homeland protection, communications, cybersecurity, and information sciences. The Laboratory takes projects from the initial concept stage, through simulation and analysis, to design and prototyping, and finally to field demonstration.

The OSG facilitates access to distributed high throughput computing for research in the US. The resources accessible through the OSG are contributed by the community, organized by the OSG, and governed by the OSG consortium.

The Open Science grid consists of computing and storage elements at over 100 individual sites spanning the United States. These sites are primarily at universities and national labs and range in size from a few hundred to tens of thousands of CPU cores. The distributed nature of these resource providers allows users from a single VO to submit their jobs at a single entry point and have them execute at whatever resource is most available.

The Center for Applied Cybersecurity Research (CACR) at Indiana University has been working since 2003 to provide the nation with leadership in applied cybersecurity technology, education, and policy. CACR's applied research, funded by the National Science Foundation, the Department of Homeland Security, the Department of Energy, and others, identifies and addresses difficult cybersecurity problems facing public and private communities, while inviting continued collaboration to foster greater innovation and creativity.

Fundamental research helps us stay ahead of threats. Sandia’s research efforts in cybersecurity are focused in three broad areas: Trusted hardware, software, and systems; Networks and systems architectures and analysis; and Effective cyber defense systems. Research is conducted in state-of-the-art facilities with extensive computing and information science capabilities, which range from architectures and algorithms to advanced modeling and simulation.

The NASA Research and Education Network (NREN) project focuses on the development and early deployment of high-performance networking technologies to provide exciting new capabilities for NASA science and engineering. As NASA Enterprises integrate these emerging networking technologies into their activities, NASA will be able to revolutionize mission applications involving space exploration, the design of air and space vehicles, Earth system modeling, and access to information contained in vast databases. Organizationally NREN is the research networking component of the Computing, Networking and Information Systems (CNIS) Project within the Computing, Information and Communications Technologies (CICT) Program.

The High Performance Computing (HPC) Division supports the Los Alamos National Laboratory mission by managing world-class Supercomputing Centers. This includes specifying, operating, and assisting in the use of both open and secure high performance computing, storage, and emerging data-intensive information science production systems for multiple programs. This unprecedented-scale computing capability provides solutions to complex problems of strategic national interest. Our activities span repeated lifetimes of supercomputing systems and infrastructure.

The AI Impacts project aims to improve our understanding of the likely impacts of human-level artificial intelligence.

The goal of the project is to clearly present and organize the considerations which inform contemporary views on these and related issues, to identify and explore disagreements, and to assemble whatever empirical evidence is relevant.

The Simons Institute for the Theory of Computing is an exciting new venue for collaborative research in theoretical computer science. Established on July 1, 2012 with a grant of $60 million from the Simons Foundation, the Institute is housed in Calvin Lab, a dedicated building on the UC Berkeley campus. Its goal is to bring together the world's leading researchers in theoretical computer science and related fields, as well as the next generation of outstanding young scholars, to explore deep unsolved problems about the nature and limits of computation.