For this blog post, I talked to Shizhuo Zhu, who is the most senior student at the Intelligent Agent Lab. He has been at IST since 2004 and is now preparing for the dissertation defense.
His dissertation topic is 'Hypothesis-Driven Story Building: A Framework for Supporting Decision-Making as Partial Information Arrives Over Time'. Basically it is about studying the characteristics and challenges of decision-making when information is incomplete and changing over time, and build a system to support human decision-making in such environments. It will be tested and evaluated with in medical diagnostic decision-making settings.
Based on his interests, he published most of his papers at two types of venues. First, the computer science-oriented AI and agent research community, such as International Journal of Intelligent Systems and the Intelligent Agent Technology conference. Second, medical informatics venues, such as the Conference on Artificial Intelligence in Medicine and the American Medical Informatics Association conference.
Several examples of his publication include:
Shizhuo Zhu, Joanna Abraham, Sharoda A. Paul, Madhu Reddy, John Yen, Mark Pfaff, and Christopher DeFlitch, "RCAST‐MED: Applying Intelligent Agents to Support Emergency Medical Decision Making Teams". The 11th Conference on Artificial Intelligence in Medicine (AIME'07), Amsterdam, The Netherlands, July 09‐11, 2007.
P.-C. Chen, X. Fan, S. Zhu, and J. Yen. Boosting-based learning agents for experience classification. In Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, p. 385-388, 2006.
Shizhuo Zhu. Story Building and Its Qualitative Identification and Quantitative Measuring of Hypotheses. NESCAI'06, April 28-29, 2006.
Although he is an IST student, he sees himself mainly as a technical person. He would like to build technical systems either theoretically or practically that may change people's life style.
His research is similar to mine in that both of us are using intelligent agent technology. However, his research is more like traditional AI (decision-making with Bayesian networks). If we use the IST jargon, his is on the I-T side. Mine might be more interdisciplinary and lies on the P-T side, although incorporating I is also possible in the future.
His dissertation topic is 'Hypothesis-Driven Story Building: A Framework for Supporting Decision-Making as Partial Information Arrives Over Time'. Basically it is about studying the characteristics and challenges of decision-making when information is incomplete and changing over time, and build a system to support human decision-making in such environments. It will be tested and evaluated with in medical diagnostic decision-making settings.
Based on his interests, he published most of his papers at two types of venues. First, the computer science-oriented AI and agent research community, such as International Journal of Intelligent Systems and the Intelligent Agent Technology conference. Second, medical informatics venues, such as the Conference on Artificial Intelligence in Medicine and the American Medical Informatics Association conference.
Several examples of his publication include:
Shizhuo Zhu, Joanna Abraham, Sharoda A. Paul, Madhu Reddy, John Yen, Mark Pfaff, and Christopher DeFlitch, "RCAST‐MED: Applying Intelligent Agents to Support Emergency Medical Decision Making Teams". The 11th Conference on Artificial Intelligence in Medicine (AIME'07), Amsterdam, The Netherlands, July 09‐11, 2007.
P.-C. Chen, X. Fan, S. Zhu, and J. Yen. Boosting-based learning agents for experience classification. In Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, p. 385-388, 2006.
Shizhuo Zhu. Story Building and Its Qualitative Identification and Quantitative Measuring of Hypotheses. NESCAI'06, April 28-29, 2006.
Although he is an IST student, he sees himself mainly as a technical person. He would like to build technical systems either theoretically or practically that may change people's life style.
His research is similar to mine in that both of us are using intelligent agent technology. However, his research is more like traditional AI (decision-making with Bayesian networks). If we use the IST jargon, his is on the I-T side. Mine might be more interdisciplinary and lies on the P-T side, although incorporating I is also possible in the future.
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