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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.

Publications:

Nykl, S., Mourning, C., Ghandi, N., Chelberg, D. (2011). In George Bebis Richard Boyle Bahram Parvin Darko Koracin Song Wang (Ed.), A flight tested wake turbulence aware altimeter (vol. 6939, pp. 219-228). Berlin, Heidelberg: ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II, Springer-Verlag.

Mourning, C., Nykl, S., Chelberg, D. (2011). In George Bebis Richard Boyle Bahram Parvin Darko Koracin Song Wang (Ed.), An Analysis of Impostor Based Level Of Detail Approximations for LIDAR Data (6939th ed., pp. 637-646). Berlin, Heidelberg: ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II, Springer-Verlag.

C. Mourning, S. Nykl, H. Xu, D. Chelberg, and J. Liu, “GPU Acceleration of Robust Point Matching,” volume 6455, pages 417–426, G. Bebis, R. Boyle, B. Parvin, D. Koracin, R. Chung, R. Hammound, M. Hussain, T. Kar-Han, R. Crawfis, D. Thalmann, D. Kao, L. Avila (Eds.), Advances in Visual Computing, Lecture Notes in Computer Science, Springer Berlin / Heidelberg, 2010.

Mourning, C., Nykl, S., Chelberg, D., Franklin, T. and Liu, C. (2009), “An Overview of First Generation STEAMiE Learning Objects,” in G. Siemens & C. Fulford (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2009 (pp. 3748-3757). Chesapeake, VA: AACE.

Q. Zhou, L. Ma, D. Chelberg, “Adaptive Object Detection and Recognition based a Feedback Strategy,” Image and Vision Computing, Volume 24, Issue 1, 1 January 2006, Pages 80-93.

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.