GRADUATE STUDIES


Mr.Kamran Karimi

Mr. Kamran Karimi celebrates receiving the University of Regina's most distinguished award, a Doctor of Philosophy degree. Mr. Karimi also holds a Bachelor of Science in Electrical Engineering, and a Master of Science in Computer Science, both from Iranian Universities. Mr.Karimmi's previous work involved mainly operating systems and programming languages.

Mr.Karimi's doctoral work focuses on the interesting subjects of causality and time. His work investigates the connections between these two concepts, and defines ways to link temporal progression and causality together. The results of Mr.Karimi's work include tools and methods that can be used to discover and better understand temporal relationships between variables in data mining and machine learning domains. According to Dr. Oliver Schulte of Simon Fraser University, "The applications are creative and interesting."

A series of papers in refereed conferences were based on his research work. He developed software called TimeSleuth and made a series of versions of it available to the world, resulting in hundreds of downloads and feedback from many users. Mr.Karimi's supervisor indicates that he played a key role in the department as a part-time laboratory instructor, teaching assistant and sessional lecturer.


Mr. Tao Lin

Mr. Tao Lin graduated in October 2004 with the University of Regina's most prestigious degree, a Doctor of Philosophy.

After obtaining a Bachelor of Engineering degree from the Huazhong University of Science and Technology in 1994, Mr. Lin enrolled in the Master's program in Computation Mathematics at Yunnan University in his hometown, Kunming, People's Republic of China. He graduated from Yunnan University in 1997 and went to Fudan University in Shanghai as a research assistant.

In 1998, he enrolled in his Ph.D program in computer science and began research on uncertainty in artificial intelligence. His thesis addresses the problem of constructing a Bayesian directed acyclic graph from a set of conditional independencies. He proposed an alternative graphical characterization that leads to an alternative representation of Bayesian Networks. Methods have been developed to construct suitable hierarchical covers for an input set of conditional independencies. These covers can be represented by an alternative graphical structure defined by a hierarchical set of acyclic hypergraphs. Probabilistic inference can be directly performed using these hypergraphs without the need to first convert them into a secondary structure as in conventional Bayesian networks. Moreover, a method is suggested to compute the marginals of the proposed representation such that all the input independency information is preserved for probabilistic reasoning. His research work can be applied to database query optimizations, multi-agent systems, knowledge consolidation and fusion, and distributed reasoning systems. The External Examiner noted the significance of the research problem and the novel approach taken by the candidate.

Mr. Lin has also gained a wealth of industrial experience on information technology, dating back to 1999, when he started to practice his analytical skills at iQmetrix Software Development Company. Now, he is rnning his own consulting business.


The Department congratulates Kamran and Tao on their achievements and wishes them continued success in their careers.

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