Biography
Dr. Kimmer has a Ph.D. in Physics from Cornell University and an MS degree in Computer Engineering and Computer Science from the University of Louisville. His undergraduate degree is from Wake Forest University where he received a BS in Mathematics and Physics. Dr. Kimmer has done post-doctoral research in high-performance computing and simulation at Sandia National Laboratories in Livermore, California. Before teaching Informatics courses at IU Southeast, he taught physics courses and then computer science courses at the University of Louisville.
Academic Background
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Doctorate
- Cornell University, Ithaca, NY, USA
- Doctorate, Major in Theoretical Physics
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Masters
- University of Louisville, Louisville, KY, USA
- Master of Science, Major in Computer Engineering and Computer Science
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Bachelors
- Wake Forest University, Winston-Salem, NC, USA
- BS, Major in Physics & Mathematics
Professional Interests
Teaching
Dr. Kimmer teaches programming, database, information retrieval, and interaction design courses. Students in his courses gain design and development skills while working together to solve problems. Dr. Kimmer also develops interactive web applications and other materials for use in online classes.
Research
Dr. Kimmer's research interests involve using computers in interesting or new ways for scientific problems. Recent work involves modeling and shape prediction of textile systems with applications to soft robotics. Dr. Kimmer is also interested in using machine learning and Virtual Reality technology to aid in the design, modeling, and visualization of similar elastic systems.
Teaching Resource Websites
Publications
Journal Articles
- C. J. Kimmer, M. S. Han, and C. K. Harnett. (2023). Strained Elastic Surfaces with Adjustable-Modulus Edges (SESAMEs) for Soft Robotic Actuation. 2023 IEEE International Conference on Robotics and Automation (ICRA)), 7352-7358.
- D.-J. Chang, C.J. Kimmer, and M. Ouyang. (2010). “Accelerating the Nussinov RNA Folding Algorithm with CUDA/GPU,” submitted to IEEE Symposium on Signal Processing and Information Technology. ISSPIT.
- R.E. Jones and C.J. Kimmer. (2010). An efficient non-reflecting boundary condition constructed via optimization of damped layers. Phys. Rev., 81 (094301.