David Hilley

About

My name is David Hilley, and I am a Ph.D. candidate at the Georgia Institute of Technology's  College of Computing.

Academia | Research | Projects | Publications | Misc | Contact Info | Blog (/dev/rant)

Academia

Kishore Ramachandran (my advisor), runs the Embedded Pervasive Lab (EPL), where I work.
I work primarily with CERCS, and collaboratively with the CPL.

Here's my CV: pdf format

Research

My research interests include many Systems-related disciplines such as Operating Systems, Distributed Systems, and Compilers & Programming Languages, as well as Artificial Intelligence and Computer Vision. Currently, I focus on distributed real-time media processing at both the infrastructure and application levels. My infrastructure-level work involves developing middle-ware for distributed programming and distributed streaming data transport and analysis (Stampede, TV Watcher, Media Broker and MB++). The application-level work involves video, audio and text analysis using Computer Vision and some Machine Learning techniques for feature extraction and higher-level inferencing. Recently, my focus has been on programming support for distributed applications performing extensive online analysis of streaming data. In particular, my goal is developing productive programming abstractions to facilitate a class of applications I call "live streaming applications" -- distributed applications which continuously process live data. Examples include surveillance, robotics, weather analysis, traffic and finance. I've also worked on Grid scheduling algorithms, specifically to assist in scheduling streaming media applications on Grid.

Projects

Publications

Miscellaneous

Contact Info

To find me in person, I'm usually in the Embedded/Pervasive Lab (KACB 2201). Or email me at davidhi@cc.gatech.edu.



Disclaimer

This page is not a publication of the Georgia Institute of Technology and the Georgia Institute of Technology has not edited or examined the content. The author(s) of these pages are solely responsible for the content.