Pattern recognition is the study of methods and algorithms for putting data objects into categories. While classical pattern recognition techniques are rooted in statistics and decision theory, the machine learning paradigm is commonly used to design practical systems.

Machine learning is a method of programming computers where, instead of designing the algorithm to explicitly perform a given task, the machine is programmed to learn from an incomplete set of examples. There are several different machine learning paradigms, such as the naive Bayes rule, artificial neural networks, genetic algorithms, and decision tree learning.

Data mining is the extraction of 'nuggets' of information from structured databases. Algorithms for data mining have a close relationship to methods of pattern recognition and machine learning. Information extraction is the task of processing unstructured data, such as free-form documents, Web-pages and e-mail, so as to extract named entities such as people, places, organizations, and their relationships.

Affiliated Faculty

Varun Chandola.
Varun Chandola, PhD
PhD, University of Minnesota

213 Capen Hall

Phone: (716) 645-4747

chandola@buffalo.edu

Assistant Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences

Research Topics: Big data analytics; anomaly detection

Vipin Chaudhary.
Vipin Chaudhary, PhD
PhD, University of Texas at Austin

305 Davis Hall

Phone: (716) 645-4740

vipin@buffalo.edu

Empire Innovation Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences

Research Topics: Computer-assisted surgery; embedded and pervasive systems; high-performance computing; medical image processing

Changyou Chen, PhD
PhD, Australian National University

338L Davis Hall

Phone: (716) 645-4750

changyou@buffalo.edu

Assistant Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences
Sreyasse Das Bhattacharjee.
Sreyasee Das Bhattacharjee, PhD
PhD, Indian Institute of Technology

349 Davis Hall

Phone: (716) 645-4769

sreyasee@buffalo.edu

Assistant Professor of Teaching & Research
Department of Computer Science and Engineering
School of Engineering and Applied Sciences

Research Topics: Computer vision; machine learning; multimodal data analytics; pattern recognition; large-scale visual search and mining; big data analytics

David Doermann.
David Doermann, PhD
PhD, University of Maryland

113M Davis Hall

Phone: (716) 645-1557

doermann@buffalo.edu

Empire Innovation Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences
Director
Artificial Intelligence Institute
School of Engineering and Applied Sciences

Research Topics: Document image understanding, video analysis, pattern recognition, computer vision, media forensics, artificial intellegence

Wen Dong, PhD
PhD, Massachusetts Institute of Technology

306 Davis Hall

Phone: (716) 645-1589

wendong@buffalo.edu

Assistant Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences

Research Topics: Social computing; sensor networks; stochastic simulation and inference

Jing Gao.
Jing Gao, PhD
PhD, University of Illinois at Urbana-Champaign

350 Davis Hall

Phone: (716) 645-1586

jing@buffalo.edu

Associate Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences

Research Topics: Data mining; machine learning

Venu Govindaraju.
Venu Govindaraju, PhD
PhD, University at Buffalo

516 Capen Hall, 113 Davis Hall

Phone: (716) 645-3321, (716) 645-1558

govind@buffalo.edu

SUNY Distinguished Professor
Founding Director, Center for Unified Biometrics and Sensors (CUBS)
Associate Director, Center of Excellence for Document Analysis and Recognition (CEDAR)
Department of Computer Science and Engineering
School of Engineering and Applied Sciences
Vice President
Office of Research and Economic Development

Research Topics: Pattern recognition; digital libraries; biometrics

516 Capen Hall, 113 Davis Hall

Phone: (716) 645-3321, (716) 645-1558

govind@buffalo.edu

Dr. Joseph.
Kenneth Joseph, PhD
PhD, Carnegie Mellon University

335 Davis Hall

Phone: (716) 645-0682

kjoseph@buffalo.edu

Assistant Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences
Kevin Keane.
Kevin R. Keane, PhD
PhD, University at Buffalo

303 Davis Hall

Phone: (716) 645-4766

krkeane@buffalo.edu

Assistant Professor of Research
Department of Computer Science and Engineering
School of Engineering and Applied Sciences

Research Topics: Stochastic models; bayesian methods; maximum entropy methods

Oliver Kennedy.
Oliver Kennedy, PhD
PhD, Cornell University

211 Capen Hall

Phone: (716) 645-1597

okennedy@buffalo.edu

Associate Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences
Marianthi Markatou.

726 Kimball Tower

Phone: (716) 829-2894

Fax: (716) 829-2200

markatou@buffalo.edu

Associate Chair of Research and Healthcare Informatics
Professor
Department of Biostatistics
School of Public Health and Health Professions
Core Faculty, CDSE PhD Program
Adjunct Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences
Assistant Director
Institute for Healthcare Informatics
Jacobs School of Medicine and Biomedical Sciences

Research Topics: Statistical Sciences (Statistics and Biostatistics): robustness, theory (& applications) of statistical distances, mixture models, model assessment, classification & clustering, machine learning, kernel methods, foundation of "big data" analysis. Interdisciplinary: text mining, biomedical informatics, safety of medical products, data science methods, comparative effectiveness.

Bina Ramamurthy.
Bina Ramamurthy, PhD
PhD, University at Buffalo

345 Davis Hall

Phone: (716) 645-3182

bina@buffalo.edu

Professor of Teaching
Department of Computer Science and Engineering
School of Engineering and Applied Sciences

Research Topics: Cloud computing; computer architecture; data-intensive computing; parallel processing

A. Erdem Sariyuce, PhD
PhD, Computer Science and Engineering, The Ohio State University

323 Davis Hall

Phone: (716) 645-1592

erdem@buffalo.edu

Assistant Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences

Research Topics: Graph mining; social network analysis; network science; temporal network analysis; combinatorial scientific computing; stream processing; distributed and parallel computing

Sargur (Hari) N. Srihari.
Sargur (Hari) N. Srihari, PhD
PhD, Computer & Information Science, The Ohio State University

338C Davis Hall

Phone: (716) 645-6162

srihari@cedar.buffalo.edu

Founding Director, Center of Excellence for Document Analysis and Recognition (CEDAR)
SUNY Distinguished Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences

Research Topics: Computational forensics; data mining; handwriting processing; machine learning; pattern recognition

Jennifer Winikus.
Jennifer Winikus, PhD
PhD, Computer Engineering, Michigan Technological University

351 Davis Hall

Phone: (716) 645-4757

jwinikus@buffalo.edu

Assistant Professor of Teaching
Department of Computer Science and Engineering
School of Engineering and Applied Sciences

Research Topics: Nonuniform multimodal data representation and analysis; data fusion; computer engineering outreach and education

Junsong Yuan.
Junsong Yuan, PhD
PhD, Northwestern University

338H Davis Hall

Phone: (716) 645-0562

jsyuan@buffalo.edu

Associate Professor
Department of Computer Science and Engineering
School of Engineering and Applied Sciences

Research Topics: Computer vision; pattern recognition; video analytics; large-scale visual search and mining

Research Groups