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David Chelberg

Associate Professor
Electrical Engineering and Computer Science, Center for Advanced Systems and Transportation Logistics Engineering
STKR 322B
chelberg@ohio.edu
Phone: 740.593.1251

http://oucsace.cs.ohiou.edu/~chelberg/

Dr. David Chelberg teaches introductory courses in computer graphics, algorithms, and computer programming as well as advanced courses in computer vision, scientific visualization and artificial intelligence. Chelberg is the director of studies for the Honors Tutorial Program in Computer Science. For several years, he led an interdisciplinary engineering team, the RoBobCats, to national and international RoboCup competitions — autonomous robots playing soccer. He founded the Geometric Modeling and Perceptual Processing Lab and co-founded of the VITAL Lab (Virtual Immersive Technologies and Arts for Learning). He has published more than 100 refereed articles in academic journals, conferences, and book chapters. Dr. Chelberg began his career at Purdue University as a faculty member in Electrical and Computer Engineering before joining the faculty at Ohio University in 1996.


Research Interests: Artificial intelligence, computer graphics and scientific visualization, computer vision, object recognition and medical image processing, distributed agents, educational gaming - the STEAM (science and technology enrichment for Appalachian middle-schoolers) Project, mobile robotics

All Degrees Earned: Ph.D., Computer Science, Stanford University, 1989. B.S., Mathematics, Stanford University, 1981.

Awards:

National Science Foundation Young Investigator Award - 1990-1993, White Teaching Award 2002

Something you may not know about me: I brew my own beer.

Journal Article, Academic Journal (6)

  • Young II, W., Nykl, S., Weckman, G., Chelberg, D. Using Voronoi diagrams to improve classification performances when modeling imbalanced datasets. Springer London: Neural Computing and Applications; 1-14. http://dx.doi.org/10.1007/s00521-014-1780-0.
  • Nykl, S., Mourning, C., Chelberg, D. Interactive Mesostructures with Volumetric Collisions. 7. IEEE Transactions on Visualization and Computer Graphics; 20: 970-982.
  • Zhou, Q., Ma, L., Celenk, M., Chelberg, D. Content-based image retrieval based on ROI detection and relevance feedback. Journal of Multimedia Tools and Applications: Special Issue on Multimedia Retrieval Algoritmics; 27: 251-281.
  • Zhou, Q., Gillen, M., Parrot, D., Chelberg, D., Welch, L. Agent-based Computer Vision in a Dynamic, Real-time Environment. 4. Pattern Recognition, Elsevier Science; 37: 691-705.
  • Andrews, D., Vemuri, R., Chelberg, D., Fleeman, D., Parrott, D., Welch, L., Brandt, S. A Framework for Using Benefit Functions in Complex Real Time Systems. 1. Journal of Parallel and Distributed Computing Practices, Nova Science Publishers, Inc.; 5: 41-50.
  • Jain, S., Welch, L., Pfarr, B., Chelberg, D., Bruggeman, C., Fleeman, D., Parrot, D., Tan, Z., Shuler, C., McCoy, M. Management of QoS-level Adaptation for Real-time Systems. 1. Journal of Parallel and Distributed Computing Practices, Nova Science Publishers, Inc.; 5: 15-26.

Book, Chapter in Scholarly Book (3)

  • Young, W., Franklin, T., Liu, C., Chelberg, D. Lessons Learned from the STEAM Project: Development and Deployment of Digital Learning Games for Effective Learning Improvement. Badajoz: Formatex Research Center; 288-299.
  • Young, W., Franklin, T., Liu, C., Chelberg, D. Lessons Learned from the STEAM Project: Development and Deployment of Digital Learning Games for Effective Learning Improvement. FORMATEX RESEARCH CENTER; "Education in a technological world: communicating current and emerging research and technological efforts,“.
  • Franklin, T., Chelberg, D., Liu, C. Changing Middle School Science Virtually through STEAM: Science and Technology Enrichment for Appalachian Middle-Schoolers. IGI Global.

Conference Proceeding (32)

  • Mourning, C., Nykl, S., Chelberg, D. Disocclusion Mitigation for Image Based Point Cloud Imposters. Springer-Verlag; 861--871.
  • Murphy, T., Chelberg, D. Development of a Robust 3D Indoor SLAM Algorithm. Ohio: MCURCSM.
  • Nykl, S., Mourning, C., Chelberg, D. Interactive Mesostructures. New York, New York: I3D '13 Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games; 37-44 . http://dl.acm.org/citation.cfm?id=2448202&dl=ACM&coll=DL&CFID=404307851&CFTOKEN=93558853.
  • Nykl, S., Mourning, C., Nykl, E., Chelberg, D., Skidmore, T. JPALS Visualization Tool. Dublin: IEEE; Distributed Simulation and Real Time Applications (DS-RT), 2012 IEEE/ACM 16th International Symposium on: 3-10.
  • Nykl, S., Mourning, C., Ghandi, N., Chelberg, D. A flight tested wake turbulence aware altimeter. Berlin, Heidelberg : ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II, Springer-Verlag; 6939: 219-228.
  • Mourning, C., Nykl, S., Chelberg, D., , . An Analysis of Impostor Based Level Of Detail Approximations for LIDAR Data. 6939. Berlin, Heidelberg: ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II, Springer-Verlag ; 637-646.
  • Nykl, S., Mourning, C., xu, H., Chelberg, D., Liu, J. Lecture Notes in Computer Science 6455, Advances in Visual Computing, Chapter Title: GPU Acceleration of Robust Point Matching. Advances in Visual Computing. Berlin Heidelberg: Springer-Verlag; 6455: 417-426. http://www.springerlink.com/content/c2g8n75p68njq875/.
  • Nykl, S., Mourning, C., xu, H., Chelberg, D., Liu, J. Lecture Notes in Computer Science 6455, Advances in Visual Computing, Chapter Title: GPU Acceleration of Robust Point Matching. Advances in Visual Computing. Berlin Heidelberg: Springer-Verlag; 6455: 417-426. http://www.springerlink.com/content/c2g8n75p68njq875/.
  • Marling, C., Chelberg, D. "RoboCup for the Mechanically, Athletically and Culturally Challenged," in What Went Wrong and Why: Lessons from AI Research and Applications: Papers from the 2008 AAAI Workshop. Menlo Park, California: AAAI Press.
  • Bilyeu, B., Liu, C., Franklin, T., Chelberg, D. Using Games Created in Second Life To Teach Middle School Science Content. Tampa, FL: Second Life Education Community Convention (SLEDUCC).
  • Bilyeu, B., Mayles, J., Franklin, T., Liu, C., Chelberg, D. Using Second Life to Create Educational Games for Middle School Science Students. Knoxville, TN: Math and Science Symposium.
  • Nykl, S., Liu, C., Franklin, T., Chelberg, D. Using Engaging and Interactive Technology to Teach Hard-to-Teach Science Concepts. Columbus, Ohio: eTech Ohio 2007.
  • Zhou, Q., Celenk, M., Ma, L., Chelberg, D. Object detection and recognition via deformable illumination and deformable shape. Atlanta, GA: Proc. IEEE Int. Conf. Image Processing (ICIP).
  • Ma, L., Chelberg, D., Celenk, M. Spatio-temporal modeling of facial expressions using Gabor wavelets and hierarchical hidden Markov models. Genoa, Italy: Proc. IEEE Int. Conf. on Image Processing (ICIP).
  • Ma, L., Zhou, Q., Celenk, M., Chelberg, D. Facial event mining using coupled hidden Markov models. Singapore: IEEE Int. Conf. Image Processing.
  • Ma, L., Zhou, Q., Chelberg, D., Celenk, M. Shape-based image retrieval with relevance feedback. Taipei, Taiwan: IEEE Int. Conf. Multimedia and Expo.
  • Marling, C., Tomko, M., Gillen, M., Alexander, D., Chelberg, D. "Case-Based Reasoning for Planning and World Modeling in the RoboCup Small Size League," in Proceedings of the IJCAI-03 Workshop on Issues in Designing Physical Agents for Dynamic Real-Time Environments: World Modeling, Planning, Learning and Communicating, International Joint Conference on Artificial Intelligence (IJCAI-03). Acapulco, Mexico: IJCAI.
  • Zhou, Q., Ma, L., Chelberg, D., Celenk, M. Color and texture priors in active contours for model-based image segmentation. Rome, Italy: Proc. 3rd Int. Symp. on Image and Signal Processing and Analysis (ISPA 2003); 690-695.
  • Zhou, Q., Ma, L., Celenk, M., Chelberg, D. Natural scene synthesis using multiple eigenspaces. Barcelona, Spain: Proc. 2003 IEEE Int. Conf. on Image Processing (ICIP-2003).
  • Chelberg, D., Drews, F., Fleeman, D., Welch, L., Marquart, J., Pfarr, B. Obtaining the Greatest Scientific Benefit from Observational Platforms by Consideration of the Relative Benefit of Observations. Pasadena, CA: International Conference on Space Mission Challenges for Information Technology (SMC-IT).
  • Welch, L., Chelberg, D., Pfarr, B. Adaptive Resource Management Technology for NASA Computing Systems. The Third Earth Science Technology Conference (ESTC-2003).
  • Tan, Z., Welch, L., Bruggeman, C., Chelberg, D., Fleeman, D., Parrott, D. Automatic Profiling Architecture for Dynamic, Distributed Real-time Systems. Las Vegas, Nevada: International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA).
  • Parrott, D., Fleeman, D., Welch, L., Chelberg, D., Bruggeman, C., Drews, F., Tan, Z. Autonomous Satellite Systems Operating in Dynamic, Real-Time Environments. Las Vegas, Nevada: International Conference of Artificial Intelligence.
  • Ecker, K., Drews, F., Juedes, D., Welch, L., Chelberg, D., Fleeman, D., Parrott, D. An Optimization Framework for Dynamic, Distributed Real-Time Systems. Nice, France: 11th International Workshop on Parallel and Distributed Real-Time Systems.
  • Jain, S., Welch, L., Chelberg, D., Tan, Z., Fleeman, D., Parrott, D., Pfarr, B., Liu, M., Shuler, C. A Collaborative Problem Solving Agent for On-Board Real-time Systems. The 10th Workshop on Parallel and Distributed Real-Time Systems.
  • Andrews, D., Welch, L., Chelberg, D., Brandt, S. A Framework for Using Benefit Functions in Complex Real-Time Systems. The 10th Workshop on Parallel and Distributed Real-Time Systems.
  • Celenk, M., Zhou, Q., Chelberg, D. Equal-intensity map texture modeling for natural scene segmentation. Santa Fe, New Mexico: Proc. IEEE Southwest Symp. on Image Analysis and Interpretation; 219-223.
  • Lakshmikumar, D., Chelberg, D., Gillen, M., Marling, C., Tomko, M., Welch, L. A Hybrid, Hierarchical Schema-Based Architecture for Distributed Autonomous Agents. The American Association for Artificial Intelligence (AAAI) Spring Symposium on Intelligent Embedded and Distributed Systems.
  • Chelberg, D., Welch, L., Marling, C. A Dynamic, Real-Time Testbed for Resource Management Technology. 10th HETEROGENEOUS COMPUTING WORKSHOP (HCW 2001).
  • Chelberg, D., Welch, L., Lakshmikumar, A., Gillen, M., Zhou, Q. Ohio University’s RoboCup Team: Combining Resource Management with Distributed Agents. The 33rd Southeastern Symposium on System Theory.
  • Zhou, Q., Chelberg, D., Zeng, Y., Starzyk, J. Robust Optical Flow Estimation Using Invariant Feature. Athens, OH: Proc. Southeastern Symp. on System Theory; 263 – 267.
  • Tjaden, B., Welch, L., Ostermann, S., Chelberg, D., Balupari, R., Bykova, M., Mitchell, A., Tong, L. Secure-RM: Security and Resource Management for Distributed Real-Time Mission Critical Systems. The Southern Conference on Computing (SCC 2000).

Patents

  • Chelberg, D., Nykl, S., Mourning, C. Wake Turbulence Analyzer For Real-Time Visualization, Detection, and Avoidance.. 2012170991.
  • Chelberg, D., , C. Kinect Postural Assessment Tool(KPAT).
  • Chelberg, D., Nykl, S., Mourning, C. Interactive Mesostructures.
  • Chelberg, D., Nykl, S., Mourning, C., , N. A flight tested wake turbulence aware altimeter.