Research Areas

Word Cloud 76 92 152 152 168 220 260 188 200 224 252 244 264 196 156 164 188 116 160 180 280 324 340 280

The Department of  Computer Science and Engineering conducts theoretical  and applied research in AI, Theory and Algorithms, Software and Hardware Systems, and interdisciplinary areas related to CS+X such as Bioinformatics.

Research Ranking

  • UB logo
    Excelsior!
    11/14/18

    UB's institutional reputation in the field of computer science has improved dramatically over the last decade.  By the most valid measure, our national ranking has risen from 50th to 29th.

  • UB logo
    Computing Research Association (CRA)
    11/6/18

    The Computing Research Association (CRA) is a leading computer science advocacy organization whose mission is to unite industry, academia, and government.  The CRA recommends CSRankings as the best computer science institutional ranking agency, preferring it over the traditional standard, the US News and World Report Best Graduate Schools report.

  • UB logo
    Why?
    11/5/18

    The CRA supports the CSRankings report because its evaluative criteria meet the 'GOTO' standard:

    Good data.  Data have been cleaned and curated.

    Open.  Data available, regarding attributes measured, at least for verification.  

    Transparent.  Process and methodologies are entirely transparent.

    Objective.  Based on measurable attributes.

    For more details, see Department Rankings, by H.V. Jagadish.

     

  • UB logo
    50th in the Nation
    11/6/18

    According to CSRankings, UB's 10-year (2008-2018) computer science institutional ranking is #50 in the nation, tied with the University of Central Florida and the University of North Carolina.

  • UB logo
    34th in the Nation
    11/6/18

    According to CSRankings, UB's three-year (2015-2018) computer science institutional ranking is #34 in the nation, making our peer institution the University of Virginia.

  • UB logo
    29th in the Nation
    11/6/18

    According to CSRankings, UB's one-year (2017-2018) computer science institutional ranking is #29 in the nation, putting us in company with Harvard, Johns Hopkins, Ohio State, and Penn State.

Knowledge Representation, Computational Linguistics, and Cognitive Science
Artificial Intelligence and Machine Learning
9/17/18
Artificial Intelligence (AI) researchers now predict that computers will be able to perform tasks that were once considered the prerogative of human beings.
Computer Security and Information Assurance
Computer Security and Information Assurance
8/8/18
Focuses on applied cryptography, authentication, threat modeling, anomaly detection, wireless security, cloud security, human-centered security, differential privacy and empirical cyber security.
Computer Science Education
Computing Education
1/19/18
Focuses on expanding approaches to teaching computing at all levels (K-12 and University) and the outreach to promote computing majors and careers.
Augmentative Technology for the Handicapped
Cyber-Physical Systems (Internet of Things)
8/9/18
Focuses on the interplay between multiple elements of cyber technologies (such as sensing, computing, communications and control), and physical systems or processes (including infrastructures such as transportation and power) as well as human factors.
Pattern Recognition, Machine Learning, and Data Mining
Data Mining and Data Science
9/17/18
Algorithms for data mining have a close relationship to methods of pattern recognition and machine learning.
Databases
Databases and Information Retrieval
4/20/18
Focuses on developing fundamental techniques, prototype systems and applications in databases and information retrieval.
Computer Networks and Distributed Systems
Distributed Systems and Networks
10/12/18
Research in networking and distributed systems focuses on enabling communication of and orchestrating coordination of a large number of computing nodes.
VLSI and Computer Architecture
Hardware and Architecture
1/24/18
Hardware and software issues from the circuit to the system have three main foci: Very Large Scale Integration (VLSI) circuits and systems, computer architecture, and computer security.
High Performance and Grid Computing, Cyberinfrastructure, and Computational Science
High Performance Computing and Computational Science
1/9/18
Focuses on efficient experimental and theoretical solutions to problems on state-of-the-art computational systems consisting of large numbers of computational elements, including clouds, clusters, grids, networks-of-workstations, massively parallel supercomputers, and GPU-based systems.
Medical Applications and Bioinformatics
Medical Applications and Bioinformatics
1/9/18
Focuses on developing highly efficient algorithms and techniques for a wide range of problems (such as automatic analysis of biomedical images, computer assisted diagnosis, treatment planning, protein-protein interaction network analysis, protein structure prediction, computational analysis and interpretation of Genomes, evolutionary studies of Genomic ORFans, and spatial positioning patterns of the cell nucleus) arising in smart hospital, smart healthcare, precision medicine, genomics, proteomics, and microarray analysis.
Computer Vision and Information Visualization
Mobile Systems
1/31/18
Mobile systems research focuses on the design and implementation of next-generation systems for mobile devices. Research topics include mobile data management, wireless networks, sensing systems, static analysis and instrumentation for mobile apps, mobile image and video analytics, and secure and low-power hardware for mobile devices.
Programming Languages and Software Systems
Programming Languages and Software Systems
8/9/18
Programmming Language research focuses on type systems, program logics, language-based and differential privacy and security; language, compiler, and run-time design for reliable systems; static and dynamic analyses for real-time Android; run-time visualization and verification; adaptive memory management; language concepts for database programming; logic- and constraint-based systems.
Theory and Algorithms
Theory and Algorithms
1/31/18
Computer science theory assesses which problems are possible and feasible to solve through theories of computability, undecidability, complexity, reducibility, and approximability.