David Partyka received his B.S. with a dual major in Computer Systems Engineering and Computer Science in 2003 from Rensselaer Polytechnic Institute (RPI), with a focus in embedded programming.

He continued his studies at RPI received his M.S. also in Computer Systems Engineering in August 2005. His Masters Thesis and research involved the simulation of Mobile Free Space Optical (FSO) networks. This included research in light propagation models, interference models and designs of optical antennas. This work resulted in the development and integration of mobile FSO nodes in to NS, and open source packet based simulator widely used in the networking community.

In May 2003 David joined AutoQuant Imaging as an Intern and then was promoted to a Research and Development Engineer. At AutoQuant he was the primary developer on a major re-architecture of AutoQuant's core Deconvolution image processing libraries, to improve performance and facilitate code reuse and maintainability. He also rewrote and designed all the math libraries used by the Deconvolution libraries, involving extensive research into image processing algorithms and Fourier Transforms. In May of 2004 he was awarded an Intern of the Year Award at Tech Valley's Techconnex annual conference, for his work.

Publications

J. Akella, C. Liu, D. Partyka, M. Yuksel, S. Kalyanaraman, and P. Dutta, Building Blocks for Mobile Free Space Optical Networks, Proceedings of IFIP/IEEE International Conference on Wireless and Optical Communications Networks (WOCN 2005), Dubai, United Arab Emirates, March 2005.