j w h u i @ c s . b e r k e l e y . e d u
Ph.D Candidate, Computer Science
University of California, Berkeley
Biography
Jonathan Hui is currently a PhD candidate in the Computer Science Division at the University of California, Berkeley, where he is advised by David Culler. In 2005, Jonathan helped start Arch Rock to commercialize the use of wireless sensor networks, and currently holds a full-time position as Lead Engineer. Jonathan is also an active participant in the IETF.
Research Interests
Extending the Internet architecture to include low-power wireless networks. Networking architectures, protocols, and algorithms. System design and implementation for resource-constrained devices.
Teaching
Selected Publications
6LoWPAN: Extending IP to Low Power Wireless
Personal Area Networks
Jonathan W. Hui and
David E. Culler. To appear in IEEE Internet
Computing, June 2008.
A Unifying Link
Abstraction for Wireless Sensor
Networks
Joseph Polastre, Jonathan
Hui, Philip Levis, Jerry Zhao, David Culler, Scott
Shenker, Ion Stoica. In Proceedings of the 3rd
international Conference on Embedded Networked Sensor
Systems (San Diego, California, USA, November 02
- 04, 2005). SenSys '05. ACM, New York, NY,
76-89.
[BibTex]
The Dynamic Behavior
of a Data Dissemination Protocol for Network
Programming at Scale
Jonathan W. Hui
and David Culler. In Proceedings of the 2nd
international Conference on Embedded Networked Sensor
Systems (Baltimore, MD, USA, November 03 - 05,
2004). SenSys '04. ACM, New York, NY, 81-94.
[Web] [Presentation]
[BibTex]
RFCs
Transmission
of IPv6 Packets over IEEE 802.15.4 Networks (RFC
4944)
Gabriel Montenegro, Nandakishore
Kushalnagar, Jonathan Hui, and David Culler.
Education
University of
California at Berkeley, 2008 (Expected)
Ph.D.
in Computer
Science
Cumulative GPA: 4.00/4.00
Coursework
University of
California at Berkeley, 2005
M.S.
in Electrical
Engineering and Computer Science
Cumulative GPA:
4.00/4.00
Coursework
Carnegie Mellon
University, 2003
B.S.
in Electrical and
Computer Engineering with a minor
in Computer
Science
Cumulative GPA: 3.93/4.00
Coursework