Professor | Graduate Coordinator
Winter 2025 Schedule
Time |
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Tuesday |
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Friday |
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8:10-8:30 AM |
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EE 428-02
(20-112)
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8:40-9:00 AM |
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9:10-9:30 AM |
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9:40-10:00 AM |
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10:10-10:30 AM |
EE 428-01
(05-226)
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EE 428-01
(05-226)
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EE 428-01
(05-226)
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10:40-11:00 AM |
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11:10-11:30 AM |
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11:40 AM-12:00 PM |
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12:10-12:30 PM |
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12:40-1:00 PM |
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1:10-1:30 PM |
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1:40-2:00 PM |
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2:10-2:30 PM |
EE 328-01
(20-129)
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EE 328-01
(20-129)
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EE 328-01
(20-129)
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2:40-3:00 PM |
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3:10-3:30 PM |
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3:40-4:00 PM |
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4:10-4:30 PM |
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4:40-5:00 PM |
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5:10-5:30 PM |
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5:40-6:00 PM |
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6:10-6:30 PM |
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6:40-7:00 PM |
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7:10-7:30 PM |
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7:40-8:00 PM |
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8:10-8:30 PM |
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8:40-9:00 PM |
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9:10-9:30 PM |
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9:40-10:00 PM |
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Biography
Dr. Jane Zhang was born in Shanghai, China. She received her Diploma in Electrical Engineering from the University of Erlangen-Nuremberg, Germany, in 1997, and her Ph. D degree in Electrical and Computer Engineering from the Georgia Institute of Technology, Atlanta, in 2002. In 1997 she was involved in the development of motion compensation related video compression techniques at the Telecommunications Institute at the University of Erlangen-Nuremberg. She also worked at Motorola Human-Interface Lab in Palo Alto in 2000 conducting research in biometric speaker verification. In 2003 she joined California Polytechnic State University in San Luis Obispo where she is currently a Professor and Graduate Coordinator. She was on the review panel on CISE REU Sites from National Science Foundation in 2006. In summer of 2007, she participated in international research collaboration with the Institute of Pattern Recognition and Intelligent System at Shanghai Jiao Tong University under the Wang Family Fellowship. In 2010, she is a visiting scholar at the Institute for Media Innovation from Nanyang Technological University in Singapore. In 2019, she is a visiting professor at the Munich University of Applied Sciences in Germany under the MUAS Fellowship Programm. Her research interests are in the areas of digital signal and image processing, computer vision, statistical modeling, machine learning, and multimodal interaction.
Education
- Ph.D. Electrical and Computer Engineering, Georgia Institute of Technology, 2002
- Diploma in Electrical Engineering, Uni. Erlangen-Nürnberg, Germany, 1997
Teaching and Research Interests
- Digital Signal and Image Processing
- Computer Vision
- Statistical Modeling
- Machine Learning
- Multimodal Interaction
Resources
Current Research Interests