Computer Science Research
The Computer Science Faculty at the University of South Carolina Upstate actively pursue several areas of research, including:
- 3D Visualization of Complex Systems
- Artificial Intelligence
- Bioinformatics
- Computer Architecture
- Computer Vision
- Cryptography
- Data Mining
- Evolutionary Computation
- Intelligent Information Retrieval
- Middleware and Database Systems
- Machine Learning
- Natural Language Processing
- Networking and Wireless Networking
- Robotics
- Simulation
- Software Engineering
- Security
Research grants are constantly sought after by the CS faculty for providing employment opportunites for undergraduate students and establishing hi-tech research facilities. For example, unique to the Upstate, is a state-of-the-art Robotics Lab located in the Administration Building room 117 which houses six heavy duty, industrial robotic arms funded by the Staubli Corporation. We also have an Undergraduate Research Lab located in the Hodge room 247 which houses several top-of-the-line machines which are used by Mathematics and Computer Science majors engaging in research, independent studies or internships.
Some recent publications that highlight current research efforts by the USC Upstate Computer Science faculty include:
Sebastian van Delden and Wei Zhong. Effective Integration of Autonomous Robots into an Introductory Computer Science Course: A Case Study. Journal of Computing Sciences in Colleges. 6 pages, 2008.
Sebastian van Delden and Benjamin Overcash. Towards Voice-Guided Robotic Manipulator Jogging. To Appear in Proceedings of the 12th World Multiconference on Systemics, Cybernetics and Informatics. 6 pages. Orlando, USA. June 29th to July 2nd, 2008.
Sebastian van Delden and Frank Hardy. Robotic Eye-in-hand Calibration in an Uncalibrated Environment. To Appear in Proceedings of the 12th World Multiconference on Systemics, Cybernetics and Informatics. 6 pages. Orlando, USA. June 29th to July 2nd, 2008.
Wei Zhong, Jieyue He, Robert. Harrison, Phang C. Tai, and Yi Pan. Clustering Support Vector Machines for Local Protein Structure Prediction. Expert Systems with Applications: An International Journal accepted for publication.
Sebastian van Delden. Constructing a Simple Visually-Guided Robotic Part-Grasping System with Off-the-Shelf Components. The 18th IEEE International Conference on Tools with Artificial Intelligence (TAI 2006). Washington, DC. November 13-15th, 2006.
Rick Chow. TGIF: an ancient game inspired framework for chromosome representations IEEE World Congress on Computational Intelligence (WCCI 2006), Vancouver, B.C., Canada, July 2006.
Y. Xiao; F. H. Li; Wu, K.; Leung, K.K.; Ni, Q.On optimizing backoff counter reservation and classifying stations for the IEEE 802.11 distributed wireless LANs, IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 17, Issue 7, July 2006 Page(s): 713 - 722.
Jerome Lewis. Using Predictor-Corrector Methods in Numerical Solutions to Mathematical Problems of Motion. Mathematics and Computer Education Journal, Vol. 39, No. 1, Winter 2005.
Wei Zhong, Gulsah Altun, Robert Harrison, Phang C. Tai, and Yi Pan Improved K-means Clustering Algorithm for Exploring Local Protein Sequence Motifs Representing Common Structural Property. IEEE Transactions on NanoBioscience, Vol. 4, No. 3, pp. 255-265, September 2005
Y. Xiao, H. Li, Voice and Video Transmissions with Global Data Parameter Control for the IEEE 802.11e Enhanced Distributed Channel Access IEEE Transactions on Parallel and Distributed Systems , Vol. 15, No. 11, pages: 1041-1053, November 2004. Top 3 of The Top 50 most Downloaded Articles for IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS) in 2004 from IEEE Xplore.