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Team Members
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Vikram Aggarwal
focuses on developing rich graphical toolkit (RGIT)
supporting dynamic and diverse data-centric visualization. He is also
responsible for integrating semantic data from varied data sources
within an information framework (KARMA) using semi-automated
approaches. Vikram received his Bachelors in Computer Science from
Delhi University and has over 10 years of software industry
experience.
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David Gotz focuses on the use of intelligent and
interactive visualization tools to aid in analytical tasks.
His general research interests include visualization,
multimedia systems and networking, and computer graphics.
David received his Ph.D. in Computer Science from the
University of North Carolina at Chapel Hill.
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Keith
Houck oversees the development of the overall software and
hardware architecture
of RIA, which aims to support multiple heterogeneous client devices in
dynamic settings. Keith is also responsible for the entire process of
multimodal input acquisition, including speech and gesture
recognition and understanding. In addition, Keith is interestested
in pervasive user interfaces.
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Shimei Pan
focuses on various intelligent
multimedia/multimodal user interface technologies. Currently,
she is working on a two-way adaptation-based framework for
robust multimodal input interpretation. Previously, She
designed an instance-based natural
language response generation technology that can generate
accurate and fluent English sentences from a small annotated
corpus. Her other research interests include implicit user
preference modeling for recommendation and case-based
conversation management. Shimei received her Ph.D. in computer
science from Columbia University and her thesis is on prosody
modeling for concept-to-speech generation.
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James
Shaw focuses on natural language generation using lexical,
grammatical, and contextual information.
His research goal is to enable machines to express information as concise and coherent as humans.
To achieve his goal, he has applied both symbolic and machine learning techniques, such as statistic methods and case-based reasoning.
James received his Ph.D. in computer science from Columbia University.
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Zhen
Wen works on automatic graphics generation. His general research interests include machine learning, intelligent user interface, computer graphics and multimedia systems with a current focus on context-sensitive information retrieval, information visualization.
Zhen received his Ph.D. in Computer
Science from University of Illinois at Urbana-Champaign.
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Michelle
Zhou concentrates on automated generation of animated 3D graphics and
coherent multimedia presentations. Specifically, she is developing a hybrid
generation paradigm that takes advantage of both knowledge-based and machine-learning
approaches to design tailored presentations according to interaction contexts.
Michelle received her Ph.D. in computer science from Columbia University.
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Alumni
- Joyce Chai
- Min Chen
- Rosario Uceda-Sosa
Past Summer Interns
- Yuxiao Hu, UIUC
- Vishal Padwal, SUNY, Stony Brook
- Mihai Rotaru, Univ. of Pitt
- Andrew Miller, Columbia
- Siwei Shen, Univ. of Michigan/Google
- Xiaohua Sun, MIT
- Ying Feng, Indiana University
- Xiaodong Jiang, UC Berkeley
- Wubin Wen, Columbia
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