Jessica Granderson
Ph.D. Candidate, Mechanical Engineering
University of California, Berkeley
Research Interests:
Soft computing for prediction, monitoring, and decision making in nondeterministic, sensor-based systems.
Human-centered and new product design: user needs assessment; applied design methodology; deployment and evaluation techniques.
Applications:
Sustainable and efficient energy, alternative energy, public health, and development.
Bayesian artificial
intelligence for
the control and
monitoring of commercial daylighting systems.
Publications:
Performance of the fiber positioning system for the Sloan Digital Sky Survey.
Siegmund, WA, Owen, RE, Granderson, J, Hull, CL, Leger, RF, Mannery, E, Waddell, P. 1998. Fiber Optics in Astronomy III, ed. Arribas, S, Mediavilla, E, Watson, F. Astronomical Society of the Pacific Conference Series, San Francisco, CA.
Sensor
validation and fusion with distributed 'Smart
Dust' motes for monitoring and enabling efficient energy use.
Agogino, A, Granderson, J, Qiu S. 2002. American Association for Artificial Intelligence (AAAI) Annual Conference Proceedings: 51-57.
Development of an on-line design guide for Cal MESA's BEST (Boosting Engineering Through Science and Technology) Competitions.
Granderson, J. 2002. M.S. Thesis, Department of Mechancial Engineering, UC Berkeley.
Towards demand-responsive intelligent lighting with wireless sensing and actuation.
Granderson, J, Agogino, AM, Wen, YJ, Goebel, K. 2004. Illuminating Engineering Society of North America Conference Proceedings: 265-274.
Intelligent office lighting: demand responsive conditioning and increased user satisfaction.
Granderson, J, Agogino, AM. 2006. Leukos, the Journal of the Illuminating Engineering Society of North America 2 (3).
Towards embedded wireless-networked intelligent daylighting systems for commercial buildings.
Wen, YJ, Granderson, J, Agogino, AM. 2006. Proceedings of the Institute of Electrical and Electronics Engineers Conference on Sensor Networks,
Ubiquitous, and Trustworthy Computing: #0-7695-2553-9/06.
Human-centered sensor-based Bayesian control: Increased energy efficiency and user satisfaction in commercial lighting.
Granderson, J, 2007. Ph.D. Dissertation, Department of Mechancial Engineering, UC Berkeley.
Fuel Use and Design Analysis of Improved Woodburning Cookstoves in the Guatemalan Highlands.
Granderson, J, Sandhu, JS, Vasquez, D, Ramirez, E, Smith, K. 2007. Submitted to The Journal of Biomass and Bioenergy May, 2007.
Implementation and assessment of a Bayesian-Fuzzy wireless daylighting system: Results from a two-person office space.
Granderson, J, Wen, YJ, Agogino, A. 2007. For submission to Lighting Research and Technology.
Resume
Cirriculum Vitae
