Computer Science Class/Robotics

Faculty 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
  • Mobile Computing
  • 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 Stockwell 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:

Chunyu Ai, Yueming Duan, Mingyuan Yan, and Jing He, "Area Query Processing Based on Gray Code in Wireless Sensor Networks", Tsinghua Science and Technology, Vol.17, Issue 5, 2012.

Yingshu Li, Chunyu Ai, Zhipeng Cai, and Raheem Beyan, "Sensor scheduling for p-percent coverage in wireless sensor networks", Cluster Computing, pp. 27-40, March, 2011.

Yingshu Li, Chinh Vu, Chunyu Ai, Guantao Chen, and Yi Zhao, "Transforming Complete Coverage Algorithms to Partial Coverage Algorithms for Wireless Sensor Networks,"IEEE Transactions on Parallel and Distributed Systems, pp. 695-703, April, 2011.

Longjiang Guo, Meirui Ren, Jinbao Li, Yong Liu, and Chunyu Ai, "H-cluster: A Novel Efficient Algorithm for Data Clustering in Sensor Networks," Journal of Communications, Vol 6, No 2 (2011), 168-178, Apr 2011.

Wei Zhong, Rick Chow, and Jieyue He. “Clinical Charge Profiles Prediction for Patients Diagnosed with Chronic Diseases Using Multi-level Support Vector Machine,” Expert Systems with Applications: An International Journal, 31 Pages, Vol. 39 No. 1, 2012. (Acceptance Rate of Papers: ~15%)

Sebastian van Delden and Michael Umrysh. 2011. Visual Detection of Objects in a Robotic Work Area using Hand Gestures. In Proceedings of the IEEE International Symposium on Robotics and Sensor Environments, Montreal, Canada, Pp 237-243. September 17-18, 2011.

Sebastian van Delden and Nicole Tobias. 2010. A Novel Approach to 3D Contour Recovery using Structured Light Mounted to a Robotic Manipulator. In Proceedings of the IASTED International Conference on Robotics and Applications, Cambridge, MA, Pp 167-173, Nov 1-3, 2010.

Sebastian van Delden. 2010. Computer Science Meets Industrial Robotics: A Visual Servoing Project for a Computer Vision Course. In the Journal of Computing Sciences in Colleges. Volume 25, Number 6. Pages 85-92. Select papers from the 15th Annual Northeast Meeting of the Consortium for Computing Sciences in Colleges. Hartford University. (Acceptance Rate: 42%)

Sebastian van Delden. 2010. Industrial Robotic Game Playing: An AI Course. In the Journal of Computing Sciences in Colleges. Volume 25, Number 3. Pages 134-142. Select papers from the 25th Annual Eastern Meeting of the Consortium for Computing Sciences in Colleges. Villanova University, Pennsylvania. January 2010. (Acceptance Rate: 50%)

Jieyue He, Fang Zhou, Wei Zhong, and Yi Pan. Gene Subsets Extraction Based on Mutual Information based Minimum Spanning Trees Model. International Journal of Computational Biology and Drug Design (IJCBDD), vol. 2(2), pp.187-203, 2009

Wei Zhong, Rick Chow, Jieyue He, Richard Stolz, and Marsha Dowell. Multi-Level Support Vector Machines for Classifying Large Chronic Disease Datasets. Proceedings of the 2009 International Conference on Bioinformatics & Computational Biology (BIOCOMP'09), vol. 1, pp. 370-375 (Acceptance Rate of Regular Papers: ~27%)

Sebastian van Delden and Frank Hardy. 2009. Robotic Eye-in-hand Calibration in an Uncalibrated Environment. In the Journal on Systemics, Cybernetics and Informatics. Volume 6, Number 6. Pages 67-72.

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. 2008. Towards Voice-Guided Robotic Manipulator Jogging. In Proceedings of the 12th World Multiconference on Systemics, Cybernetics and Informatics. Volume 3. Pages 138-144. Orlando, FL. July 2008. (Acceptance Rate of Regular Papers: ~37%)

Wei Zhong, Gulsah Altun, Xinmin Tian, Robert Harrison, Phang C. Tai, and Yi Pan. Parallel Protein Secondary Structure Prediction Schemes Using Pthread and OpenMP over Hyper-Threading Technology. Journal of Supercomputing, vol. 41(1), pp. 1-16, July 2007.

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, vol. 32(2), pp. 518-526, February 2007.

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.

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.

Division Chair
Jerome Lewis
jlewis@uscupstate.edu

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