I am a researcher in the Mobile Computing Research Center at Microsoft Research.
I build systems for recognizing human state, especially human behavior, based on sensor data. My focus is on statistical algorithms for recognition, but I am interested in model elicitation, rich representations of "common sense", sensor design, infrastructure design and high-performance/low-power implementations as well. I am currently looking at the question of how and why to build perception systems on mobile phones.
For more information about me (including publications prior to Microsoft), please visit my University of Washington page.
- Sharad Agarwal, Matthai Philipose, and Victor Bahl, Vision: The Case for Cellular Small Cells for Cloudlets, in International Workshop on Mobile Cloud Computing & Services, ACM, 16 June 2014
- Seungyeop Han and Matthai Philipose, The Case for Onloading Continuous High-Datarate Perception to the Phone, in Proceedings of HotOS'09: 14th Workshop on Hot Topics in Operating Systems, USENIX, 2013
- Seungyeop Han, Matthai Philipose, and Yun-Cheng Ju, NLify: Lightweight Spoken Natural Language Interfaces via Exhaustive Paraphrasing, in Proceedings of UbiComp 2013, ACM, 2013
- Robert LiKamWa, Bodhi Priyantha, Matthai Philipose, Lin Zhong, and Paramvir Bahl, Energy Characterization and Optimization of Image Sensing Toward Continuous Mobile Vision , ACM International Conference in Mobile Systems, Applications, and Services (MobiSys), 2013
- Paramvir Bahl, Matthai Phillipos, and Lin Zhong, Cloud-Powered Sight for All: Showing the Cloud What You See, in International Workshop on Mobile Cloud Computing and Services (MCS), Association for Computing Machinery, Inc., 25 June 2012