Jiang Lu, Ph.D.

Biography

Dr. Lu is currently an associate professor of computer engineering. He is also the program chair of the Computer Engineering department. He received his Ph.Ds from the University of Alabama, Tuscaloosa, AL, in electrical and computer engineering. Before that, he received a Master of Science from University of Florida, Gainesville, FL, and a Bachelor of Science from Shanghai Maritime University, Shanghai, China, both in electrical and computer engineering.

His research interests are in the areas of intelligent sensor systems, biomedical devices, tele-healthcare, wireless communication, distributed information processing, machine learning and embedded system designs.

He is currently a member of IEEE and serves as TPC member for several IEEE international conferences. He is also a reviewer for several internationally respected journals.

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Areas of Expertise

Sensors are like human skin. Without them, a machine cannot feel the world. Intelligent sensor systems are machines that can sense and interact with the world. They are sensing systems that have brainpower. My research interest draws in all aspects of intelligent sensor systems. My area of expert includes wireless communication, intelligent algorithms and the establishment of biomedical applications with intelligent sensor systems.

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Publications

• Jiang Lu, T. Zhang, Q. Sun, Q. Hao, and F. Hu, “Binary compressive tracking," IEEE Transactions on Aerospace and Electronic Systems., 2017, accepted, in press.
• Jiang Lu, T. Zhang, Q. Hao, and F. Hu, “Preprocessing design in pyroelectric infrared sensor based human tracking system: On sensor selection and calibration," IEEE Transactions on Systems, Man, and Cybernetics: Systems., vol. 47, pp. 263-275, 2016.
• Jiang Lu, X. Fu, and T. Zhang, “A smart system for face detection with spatial correlation improvement in IoT environment," in Proc. IEEE Int. Conf. on Ubiquitous Intelligence and Computing(UIC), San Francisco, CA, Accepted.
• Jiang Lu, L. Wu, T. Zhang, and J. Gong, “Robot-assisted intelligent emergency system for individual elderly independent living," in Proc. IEEE Int. Conf. on Global Humanitarian Technology Conference (GHTC), Seattle, WA, Oct. 2016, pp. 628-633.
• Jiang Lu, T. Zhang, Q. Sun, S. Kadiwal, I. Unwala, and F. Hu, “Monitoring of paces and gaits using binary PIR sensors with rehabilitation treadmill," in Proc. IEEE 38th Int. Conf. on Engineering in Medicine and Biology Society (EMBC), Orlando, FL, Aug. 2016, pp. 5315-5318.
• Q. Sun, Jiang Lu, Y. Wu, H. Qiao, X. Huang, and F. Hu, “Non-informative hierarchical bayesian inference for non-negative matrix factorization," Journal of Signal Processing, vol. 108, pp. 309--321, 2015.
• Jiang Lu, T. Zhang, F. Hu, Y. Wu, and K. Bao, “Measuring activities and counting steps with the SmartSocks - an unobtrusive and accurate method," in Proc. IEEE Conf. on Global Humanitarian Technology (GHTC), San Jose, CA, Oct. 2014, pp. 694-698.
• Jiang Lu, J. Gong, Q. Hao, and F. Hu, “Multi-agent based wireless pyroelectric infrared sensor networks for multi-human tracking and self-calibration," in Proc. IEEE Int. Conf. on Sensors, Baltimore, MD, Nov. 2013, pp. 1-4, Best Student Paper.
• Jiang Lu, J. Gong, Q. Hao, and F. Hu, "Space encoding based compressive multiple human tracking with distributed binary pyroelectric infrared sensor networks," in Proc. IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems, Hamburg, Germany, Sep. 2012, pp. 180--185, Best Paper Finalist.
• Q. Hao, F. Hu, and Jiang Lu, “Distributed multiple human tracking with wireless binary pyroelectric infrared (PIR) sensor networks," in Proc. IEEE Int. Conf. on Sensors, Kona, HI, Nov. 2010, pp. 946--950.

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Courses (Current Academic Year)

Graduate Courses

• CENG 5433: Principle of Digital Communication Systems
• CENG 5931: Topics - Wireless Sensor Networks
• CENG 6838: Research Project and Seminar

Undergraduate Courses

• CENG 3264: Engineering Design and Project Management
• CENG 3331/3131: Intro to Telecom and Networks/Lab

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Research Projects

Ubiquitous sensors, devices, networks and information are paving the way towards a smart world. Computational intelligence is distributed throughout the physical environment to provide reliable and relevant services to people. My current research in intelligent sensor system and tele-healthcare, brings together multidisciplinary technologies for healthcare. By utilizing digital heath information, from body sensor networks and intelligent techniques, the systems provide preventive and remote treatments. From data to knowledge to decisions, these intelligent systems connect patients and caregivers seamlessly in the healthcare ecosystem. These systems can definitely benefit human-beings' life qualities.

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Awards and Accomplishments

• Best Student Paper Award, Int. Conf. on IEEE Sensors, 2013
• Best Paper Award Finalist, Int. Conf. on IEEE MFI, 2012
• Shanghai Outstanding Undergraduate Award, 2007

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