Jorge Ortiz is a Research Staff Member at IBM T.J. Watson Research Center in NY. He works on systems and algorithms for physical analytics in buildings and IoT, deploying machine learning on resource constrained devices, and distributed systems and algorithms for large-scale machine learning applications. Broadly he is interested in sensing and building informatics, machine learning and systems.
He has been at IBM Research since 2013, after obtaining a Ph.D. in Computer Science from the University of California at Berkeley (2013). He also has an M.S. in Computer Science from UC Berkeley (2010) and a B.S. in Electrical Engineering and Computer Science from M.I.T. (2003).
- MP-trie: Fast Spatial Queries on Moving Objects to be presented at Middleware 2016
- Two posters will be presented at Buildsys 2016:
- Project Tidy: Ranking Time Series for Smart Energy Systems
- Acoustic Signal Processing for Anomaly Detection in Machine Room Environments
"Non-negative matrix factorization of signals with overlapping events for event detection applications" has been accepted for publication and presentation at the 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing 2017.
- Our paper "Fast Image Clustering on Network of Mobile Phones" has been accepted for publication at the ICML 2016 Workshop for On-Device Intelligence!
- "Image Analysis for Identifying Mosquito Breeding Grounds" has been accepted for publication at IoTPDA 2016!
- Both our submissions to Buildsys 2015 were accepted for publication:
- Automated Metadata Construction to support Portable Building Applications 
- The Building Adapter: Towards Quickly Applying Building Analytics at Scale 
-  and  received Best Paper Honorable mention after receving the highest and 2nd highest review scores!
- "Spartan: A Distributed Array Framework with Smart Tiling" has been accepted to USENIX ATC 2015