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Lin Gu (photo) Ph.D.
in Computer Science, M.S.
in Computer Science, B.S.
in Computer Science,
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Academic links |
Non-academic
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Contact information:
Tel: 1-434-825-3115
email: l i n g
u @ c s . v i r g i n i a . e d u
(Please remove the spaces when
using the email address)
I am interested in research and development in various areas in computer science, including operating systems, wireless sensor networks, embedded systems, and programming support for general networked low-power computing devices. I received Ph.D. from University of Virginia in 2006. Before that, I received B.S. from Fudan University and M.S. from Peking University, and worked in Huatek and Microsoft. For detailed information, please see my Curriculum Vitae.
Awards (since college)
Best Paper Award of SenSys'06 (2006)
Outstanding Graduate Student Research Assistant of the CS department (UVa, 2006)
Best Student Paper Award of RTAS'04 (2004)
Outstanding Graduate of Peking University (2001)
Kodak Fellowship (2000-2001)
Triple-Merit Student (Outstanding Student) of Peking University(1999-2000)
Employee of the Month at Microsoft, Shanghai (May 1998)
People's Awards III (1994)
Motorola Fellowship(1993)
People's Awards II (1993)
Publications
Conference Papers
(Best Paper Award) L. Gu and J. A. Stankovic, t-kernel: Providing Reliable OS Support for Wireless Sensor Networks (Draft). In Proc. of the 4th ACM Conf. on Embedded Networked Sensor Systems (SenSys'06), Nov., 2006.
S. Lin, J. Zhang, G. Zhou, L. Gu, T. He and J. A. Stankovic, ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks. In Proc. of the 4th ACM Conference on Embedded Networked Sensor Systems (SenSys'06), Nov., 2006
L. Gu and J. A. Stankovic. (Demo Abstract) Demo: A Virtualizing OS Kernel for Wireless Sensor Networks. In Proc. of the 4th ACM Conf. on Embedded Networked Sensor Systems (SenSys’06), Nov., 2006.
T. He, P. A. Vicaire, T. Yan, L. Luo, L. Gu, G. Zhou, R. Stoleru, Q. Cao, J. A. Stankovic and T. Abdelzaher. Achieving Real-Time Target Tracking Using Wireless Sensor Networks. In Proc. of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS’06), Apr. 2006
L. Luo, T. He, G. Zhou, L. Gu, T. Abdelzaher and J. A. Stankovic. Achieving Repeatability of Asynchronous Events in Wireless Sensor Networks with EnviroLog. In Proc. of the 25th IEEE Conf. on Computer Communications (InfoCom’06), April, 2006
T. He, P. Vicaire, T. Yan, Q. Cao, G. Zhou, L. Gu, L. Luo, R. Stoleru, J A. Stankovic, and T. Abdelzaher. Achieving Long-Term Surveillance in VigilNet. In Proc. of the 25th IEEE Conf. on Computer Communications (InfoCom'06), April 2006
L. Gu, D. Jia, P. Vicaire, T. Yan, L. Luo, A. Tirumala, Q. Cao, T. He, J. Stankovic, T. Abdelzaher, B. Krogh, Lightweight Detection and Classification for Wireless Sensor Networks in Realistic Environments, In Proc. of the 3rd ACM Conf. on Embedded Networked Sensor Systems (SenSys'05). Nov., 2005 (PDF)
(Best Student Paper Award) L. Gu and J. Stankovic. Radio-Triggered Wake-Up Capability for Sensor Networks, the 11th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'04), May, 2004 (PDF available at the IEEE site, Journal version can be found on Springer site)
L. Gu and J. A. Stankovic. t-kernel: A Naturalizing OS Kernel for Low-Power Cost-Effective Computers (Extended Abstract, non-regular), the 20th ACM Symposium on Operating Systems Principles (SOSP'05), Oct., 2005 (PDF)
T. He, L. Luo, T. Yan, L. Gu, Q. Cao, G. Zhou, R. Stoleru, P. Vicaire, Q. Cao, J. A. Stankovic, S. H. Son, and T. F. Abdelzaher. An Overview of the VigilNet Architecture. In Proc. of 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, August 2005. Note:(invited paper)
T. He, Q. Cao, L. Luo, T. Yan, L. Gu, J. A. Stankovic, and T. F. Abdelzaher, Electronic tripwires for power-efficient surveillance and target classification (Demo Abstract), In Second ACM Conference on Embedded Networked Sensor Systems (SenSys'04), Nov. 2004
T. He, S. Krishnamurthy, J. A. Stankovic, T. F. Abdelzaher, L. Luo, R. Stoleru, T. Yan, L. Gu, J. Hui, and B. Krogh, An Energy-Efficient Surveillance System Using Wireless Sensor Networks, In The Second International Conference on Mobile Systems, Applications, and Services (MobiSys), June 2004
T. Abdelzaher, B. Blum, D. Evans, J. George, S. George, L. Gu, T. He, C. Huang, P. Nagaraddi, S. Son, P. Sorokin, J. Stankovic, and A. Wood, EnviroTrack: Towards an Environmental Computing Paradigm for Distributed Sensor Networks. IEEE ICDCS , March 2004
K. Sullivan, L. Gu and Y. Cai, Non-modularity in Aspect-Oriented Languages: Integration as a Crosscutting Concern for AspectJ. Proceedings of the First International Conference on Aspect-Oriented Software Development (AOSD'02), 2002
Journal
L. Gu and J.A.Stankovic, Radio-Triggered Wake-Up for Wireless Sensor Networks. Real-Time Systems, Springer, Vol. 29, No. 2-3, ISSN: 0922-6443, Mar. 2005, pp 157 - 182 (Abstract and full paper available from Springer)
T. He, S. Krishnamurthy, L. Luo, T. Yan, L. Gu, R. Stoleru, G. Zhou,, Q. Cao, P. Vicaire, J. A. Stankovic and T. F. Abdelzaher, VigilNet: An Integrated Sensor Network System for Energy-Efficient Surveillance. ACM Transactions on Sensor Networks (TOSN), 2005
L. Gu, A. Pan, J. Sun and Y. Cui. An Analysis of Internet Secure Session and the Proving of a Simplified Model. Computer Applications, Sept., 1999
Miscellaneous
T. He, L. Gu, L. Luo, T. Yan, J. A. Stankovic, and S. H. Son, An Overview of Data Aggregation Architecture for Real-Time Tracking with Sensor Networks. In Proc. of the 14th International Workshop on Parallel and Distributed Real-Time Systems, Apr., 2006
L. Gu. Virtualizing Operating System for Wireless Sensor Networks. PhD Dissertation, University of Virginia, Aug., 20
L. Gu and J. A. Stankovic. t-kernel: a Translative OS Kernel for Sensor Networks. UVA CS Tech Report CS-2005-09, 2005
L. Gu, Information Retrieval and Automatic Feature Set Construction for Text Classification. Master Thesis, Peking University, 2001, Master Thesis, Peking University, 2001.
D. T. Drewry, L. Gu, A. B. Hocking, K.D. Kang, R. C. Schutt, III, C. M. Taylor, J. L. Pfaltz. Current State of Data Mining, Technical Report CS-2002-15, Department of Computer Science, University of Virginia
A. Pan, L. Gu, et al, Thirty years of Database System, Microcomputer World, 2000.
Research experience
Wireless Sensor Networks
Working with Prof. Stankovic in the Real-Time and Embedded Computing Lab at UVa, I participated in a number of research projects including the NEST project sponsored by DARPA. I worked on OS design for energy-and-cost-efficient platforms, detection and classification in sensor networks, and passive radio-triggered hardware. The goal is to prove the "superiority" and "feasibility" of the technology of networked low-power, low-cost computers. Superiority asks "can numerous low-power, low-cost computers outperform the current technology with high-power, expensive devices?" Feasibility asks "can we realistically construct reliable systems with this technology at a reasonable development and maintenance cost?"
OS design for
general low-power systems
Traditional OS services meet
enormous difficulty in low-power embedded systems because of the
stringent resource constraints. It is a research challenge to design
OS services that are portable among a large spectrum of embedded
platforms. I am working on a new OS kernel that supports virtual
memory, preemptive scheduling, and reliable OS protection without
traditional hardware support.
Lightweight detection and classification in wireless sensor
networks
While a variety of sensors have been incorporated
into a spectrum of wireless sensor network ( WSN) platforms,
traditional signal processing algorithms, however, often prove too
complex for energy-and-cost-effective WSN nodes. It is a challenge to
to design efficient sensing and classification algorithms that
achieve reliable sensing performance on energy-and-cost-effective
hardware without special powerful nodes in a continuously changing
physical environment. We have developed a lightweight detection and
classification architecture and successfully used it in VigilNet.
Power Management for Sensor Networks
Novel hardware,
architecture and middleware solutions are needed to make wireless
sensor network sustain a long period of time. I am working on
implementing radio-triggered hardware which greatly enhance the
network nodes' wake-up capability and enable efficient power
management services.
Networking
Data-link protocols
TDMA based MAC and data-link layer
protocols.
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