EE Professor Fred Jiang Chairs ACM SenSys 2019

December 02, 2019

SenSys is the premier computer systems conference focusing on networked sensing systems, sensor-oriented data modeling and analytics, and sensor-enabled applications. The conference started in 2003, and is now in its 17th year, with past locations including UC Berkeley, Stanford, and UCLA. SenSys is technically sponsored by ACM SigArch, SigBed, SigComm, SigMetrics, SigMobile, and SigOps. BuildSys is a highly selective, single-track forum for research on systems issues covering all aspects of the buildings, cities, and transportation systems, broadly defined.

The 17th ACM Conference

This year's SenSys and BuildSys were chaired by Columbia Electrical Engineering professor Xiaofan (Fred) Jiang, IBM researcher Raghu Ganti, and CMU professor Hae Young Noh. The conferences were jointly sponsored by Columbia Fu Foundation School of Engineering and Applied Sciences (SEAS), Columbia Data Science Institute (DSI), Department of Electrical Engineering (EE), as well as industry sponsors including IBM, Johnson Controls, Bosch, and AiFi.

Professor Shih-Fu Chang, Senior Executive Vice Dean of SEAS gave an opening remark at SenSys, introducing the audience to the rich history and accomplishments of the School of Engineering. Professor Jeannette Wing, Director of the Data Science Institute and Dr. Dinesh Verma, Director of Distributed AI at IBM gave welcome remarks at the SenSys reception, held at the iconic Low Library Rotunda.

"This is the first time that SenSys has been held in New York, and the second time on the East Coast during its 17 years", says Jiang, "we are very excited to host this prestigious conference at Columbia University and bring the SenSys and BuildSys communities to New York City. We had a huge turnout with a total of over 400 registered attendees. In addition to the main conferences, we held 12 associated workshops, including the N2Women workshop, the Doctoral Colloquium, and the COSMO wireless testbed tutorial; topics range from machine learning on the edge to blockchain, energy harvesting, and challenges in AI for IoT. The demo/poster session was also a big success".

"Finally, the event would not have been possible without the hard work of volunteers from Columbia and nearby universities,'' said Jiang.