Dr. Mladen Vouk
Department Head
& Professor and AVP for Info Techn.
3308 EBII Phone: 919-513-0348
Fax: 919-515-7896
Email: vouk AT ncsu.edu
Web Site: http://renoir.csc.ncsu.edu/Faculty/Vouk/
Location: Campus Maps (powerd by ITECS)
Mladen A. Vouk received Ph.D. from the King's College, University of London, U.K. He is Department Head and Professor of Computer Science, and Associate Vice Provost for Information Technology at N.C. State University, Raleigh, N.C., U.S.A.
Dr. Vouk has been teaching courses in software engineering, software testing, software reliability and fault-tolerance, software process and risk management, and networking.
Dr. Vouk is closely associated with the Computer Science Computer-Based Education Laboratory, and the Undergraduate and Graduate Networking Laboratories. He is the co-founder and current co-director of the Computer Science Software Systems and Engineering Laboratory. He is the founder, former director, and current member of the NC State Multimedia and Networking Laboratory. He is a member of of the CENTAUR Labs. He is a member and former Technical Director of the N.C. State Center for Advanced Computing and Communication. Dr. Vouk is an associate graduate faculty member in the Department of Electrical and Computer Engineering at NC State, he is a member of the NC State E-Commerce Faculty, NC State Information Security Faculty, NC State Genomics Faculty, Bioniformatics Program Faculty, and Operations Research Program Faculty.
Dr. Vouk is a member, former chairman, and former secretary of the IFIP Working Group 2.5 on Numerical Software, and recepient of the IFIP Silver Core. He is an IEEE Fellow, and a member of IEEE Reliability, Communications, Computer, and Education Societies, and of the IEEE TC on Software Engineering, ACM, ASQ, and Sigma Xi.
Research
Interests
Dr. Vouk's research and development
interests include software engineering
(software and system process and risk management, testing, reliability, fault-tolerance),
scientific computing
(bioinformatics, biophysics, management of scientific data and knowledge,
application of engineering methods to genetics, development of numerical
and scientific
software-based systems, parallel and grid computing, support for scientific
problem-solving, agent-assisted workflow support, middlware),
computer-based education
(network-based education, distance learning, education workflows),
and high-performance networks
(end-to-end and end-user quality of service, network security, forward error correction in
high-speed networks, networking middleware,
empirical evaluation of modern networking solutions).
