You can download my Curriculum Vitae for a formal outline of my past and current exploits.
I am currently working for Dr. Gang Qian as a part of the Arts, Media and Engineering (AME) program at Arizona State University. The code I have developed has been assembled into a library, which includes 2D and 3D motion analysis, tracking, and display functionality. Originally, the library was released as open-source under the GNU General Public License, but AME has since decided to rethink its open-source policy and that is no longer so.
For more information about the library, please visit the Motion Analysis and Visualization Engine (MAVE) pages.
While working at AME, I have co-authored a few published papers.
S. Rajko, G. Qian, HMM Parameter Reduction for Practical Gesture Recognition, IEEE International Conference on Face and Gesture Recognition, 2008.
S. Rajko, G. Qian, Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Field, Lecture Notes in Computer Science, 2007.
S. Rajko, G. Qian, T. Ingalls and J. James, Real-time Gesture Recognition with Minimal Training Requirements and On-line Learning, to appear in IEEE Conference on Computer Vision and Pattern Recognition, 2007.
S. Rajko and G. Qian, Autonomous real-time model building for optical motion capture, IEEE International Conference on Image Processing, 2005.
S. Rajko and G. Qian, A Hybrid HMM/DPA Adaptive Gesture Recognition Method, ISVC 2005,p 227-234.
While I was a graduate student at Iowa State University, I used to be working for Dr. Srinivas Aluru in the Computational Biology and Scientific Computing Group. My focus was mainly on parallel sequence alignment algorithms and spatial data structures.
My thesis work was on a space and time optimal parallel sequence alignment algorithm. The conference and journal versions can be downloaded here:
S. Rajko and S. Aluru, Space and time optimal parallel sequence alignment, International Conference on Parallel Processing, 2003.
S. Rajko and S. Aluru, Space and time optimal parallel sequence alignments, IEEE Transactions on Parallel and Distributed Systems, 2004.
As an undergraduate student, I also worked for Dr. Steven LaValle doing research with motion planning, robotics, and computational geometry.
I wrote a very gentle introduction to path planning for a class once, you might find it useful.
With Dr. LaValle, I published a paper on a pursuit-evasion algorithm (pursuit-evasion relates to describing how a "pursuer" should move to find all "evaders" in an environment). The paper was later expanded to a journal version by Shai Sachs. You can download the papers here:
S. Rajko and S. M. LaValle. A pursuit-evasion bug algorithm. In Proc. IEEE Int'l Conf. on Robotics and Automation, pages 1954--1960, 2001.
S. Sachs, S. Rajko, and S. M. LaValle. Visibility-based pursuit-evasion in an unknown planar environment. International Journal of Robotics Research, 2003.