UNC Computer Science has 38 tenured and tenure-track faculty, research-track faculty and lecturers. Our faculty includes two National Academy of Engineering members, one American Academy of Arts and Sciences Fellow, six ACM Fellows, six IEEE Fellows, one member of the Women in Technology International Hall of Fame and one emeritus faculty Turing Award winner. Our award-winning faculty are recognized internationally for their groundbreaking research and area expertise.
Please enter a research area or research project in the search box below to find an expert in that field. You may also enter a first or last name if you are looking for a particular faculty member.
To get in touch with a faculty member listed below, please contact Brett Piper (email@example.com, 919-590-6090).
Director, Renaissance Computing Institute (RENCI)
(82) Ph.D. 1986, Clemson. Signal, image, and video processing; high-performance scientific and industrial computing; pattern recognition applied to national security problems; high-productivity, domain specific languages.
Chief Operating Officer, Renaissance Computing Institute (RENCI)
(126) Ph.D. 2010, UNC-Chapel Hill. Experimental methods and models in networking research and education; measurement and modeling of Internet traffic, protocol benchmarking; Internet traffic generation, wireless networks, congestion control and active queue management.
Director of Graduate Admissions
(99) Ph.D. 2006, UC Berkeley. Medical robotics; motion planning; physically-based simulation; assistive robotics; medical image analysis.
(62) Ph.D. 1990, Texas. Real-time systems; distributed and concurrent algorithms; multicore computing; operating systems.
(139) Ph.D. UC Berkeley, 2013. Statistical natural language processing and machine learning, with a focus on multimodal, grounded, and embodied semantics (i.e., language with vision and speech, for robotics), human-like language generation and Q&A/dialogue, and interpretable and structured deep learning.
(134) Ph.D. UC Berkeley, 2005. Computer vision, machine learning, recognition, detection, large-scale learning for computer vision, machine-learning analysis of fmri.
(148) Ph.D. 2003, ETH Zurich. Distributed embedded systems, hardware/software co-design, embedded control systems, low-power systems, energy storage systems, electromobility, and sensor network-based information processing.
(158) Ph.D. 2016, Maryland. Natural language understanding, narrative understanding, social NLP, applications of ML and NLP.
(63) Ph.D. 1986, Wisconsin. User interfaces; distributed collaboration; software engineering environments; mobile computing; access control.
(144) Ph.D. Illinois, 2015. Cyber-Physical Systems, Formal Methods, Control Theory, Hybrid Systems, Autonomy, Embedded and Real-Time Systems, Probabilistic Systems.
Associate Chair for Business Affairs
(135) Ph.D. 2005, Strategic Management, Kenan-Flagler Business School, UNC – Chapel Hill. Leadership, strategy, customer value creation, innovation & entrepreneurship, business development
(97) Ph.D. 2005, Christian-Albrechts-University Kiel, Germany. Structure from motion; camera self-calibration; camera sensor systems; multi-camera systems; multi-view stereo; robust estimation; fast tracking of salient features in images and video; computer vision; active vision for model improvement; markerless augmented reality.
(11) Ph.D. 1975, Utah. Virtual environments; telepresence; future office environments; 3D medical imaging; computer vision and robotics.
(140) M.S. 2008, Brown. Computer science education, educational technology, internet systems, entrepreneurship.
(86) Ph.D. 2008, UNC-Chapel Hill. New media arts and poetics, digital communities, and digital-age ethics.
Director of Graduate Studies
(88) Ph.D. 2002, Texas-Austin. Design and analysis of networks and distributed systems; high-speed congestion-control, resource management, Internet measurements, and transport protocols.
Deputy Director, Renaissance Computing Institute (RENCI)
(137) Ph.D.1983, Florida. Data analytics with applications in healthcare and social science, high-end computing for modeling and simulation, advanced computational tools to improve industrial productivity through virtual product and process development, digital processing to extract information from images, audio and other signals.
(147) Ph.D. 2017, N.C. State. Computational and Design Techniques for a Semi-Autonomous Computerized Dog-Training System with Timing and Accuracy Performance Comparable to a Professional Dog Trainer.
Director of Undergraduate Studies
(80) Ph.D. 1999, UC Berkeley. Multimedia systems; networking; multicast applications.
(87) Ph.D. 1997, UNC-Chapel Hill. Computational biology; genetics; genomics; bioinformatics; information visualization; data-driven modeling; image processing; imaging technologies; computer graphics.
(91) Ph.D., 1999, New York University. Computer and communications security and privacy; computer forensics; network security; operating system security; user authentication; data provenance; secure virtual enclaves.
Associate Chair for Academic Affairs
(136) Ph.D. 2014, Virginia. Mobile Computing (OS, Services and Applications); Embedded Sensor Systems (Hardware-Software Co-Design, Wearables); Wireless Networks (Mobile, WSN, and other RF); Data Analytics for Mobile Systems (Mobile Health, IoT, and Cloud).
(142) Ph.D. 2018, Carnegie Mellon. Machine learning, artificial intelligence, nonparametric statistics, deep learning, statistical data mining, signal processing, graphical models, generative models, kernel methods, scalability, complex datasets, optimization, density estimation.
(6) Ph.D. 1967, Harvard. Image display and analysis; medical imaging; human and computer vision; graphics.
(28) Ph.D. 1976, Stanford. Mechanical theorem proving; term rewriting systems; logic programming; algorithms.
(138) Ph.D. 2010, Texas. Operating systems; virtualization; file systems; security; concurrent programming.
(93) Ph.D. 1979, UNC-Chapel Hill. Software engineering and environments; computer education; serious games design and development; social, legal, and ethical issues concerning information technology.
(33) Ph.D. 1987, Cornell. High performance computing: parallel algorithms, programming languages, compilers, and architectures; scientific computing with focus on computational biology and bioinformatics.
Ph.D. 2016, Columbia. Machine learning techniques, especially semi-supervised, unsupervised, and transfer learning methods for learning from limited labeled data.
Associate Chair for Diversity and Inclusion
(95) Ph.D. 1993, Cornell. Computer and network security; distributed systems; applied cryptography.
(84) Ph.D. 2002, Columbia. High-performance and low-power digital systems; asynchronous and mixed-timing circuits and systems; VLSI CAD tools; energy-efficient graphics hardware; applications to computer security; and emerging computing technologies
(42) Ph.D. 1978, UNC-Chapel Hill. Computer networks; operating systems; distributed systems; multimedia.
(157) Ph.D. 2018, Carnegie Mellon. Topics in Natural Language Processing, AI, Machine Learning and their applications; focus on Language Grounding and pragmatics, Neuro-symbolic methods, Text analysis, Latent Variable Models
(59) Ph.D. 1985, Virginia. Computer-supported cooperative work, especially collaborative user interfaces; software engineering, design patterns, and formal methods; hypermedia and web technology.
(132) Ph.D. 2013, UC Berkeley. Computer and hardware security; applied formal methods for software security.
Associate Professor, Department of Psychiatry
(94) Ph.D. 2001, UNC-Chapel Hill. Medical image processing and analysis including anatomical structure and tissue segmentation, morphometry using shape analysis, modeling and atlas building, as well as intra and inter-modality registration.
(145) Ph.D. 2009, UNC-Chapel Hill. Software development, web application development, mobile application development, programming, functional programming.
(81) M.S. 1984, N.C. State. Developing and evaluating technology for virtual and augmented reality systems; virtual locomotion; tools for serious games.