School of Interactive Computing

Associate Professor, Joint with the Sam Nunn School of International Affairs

Biography

Michael L. Best is Associate Professor with the Sam Nunn School of International Affairs with a joint appointment in the School of Interactive Computing. Best directs the Program in Information and Communication Technologies for Development at the Center for International Strategy, Technology and Policy. He is also a Faculty Associate of the Berkman Center for Internet & Society at Harvard University. Professor Best is co-founder and Editor-in-Chief of the widely read journal, Information Technologies and International Development.

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Associate Professor

Biography

Dr. Dellaert does research in the areas of robotics and computer vision, which present some of the most exciting challenges to anyone interested in artificial intelligence. He is especially keen on Bayesian inference approaches to the difficult inverse problems that keep popping up in these areas. In many cases, exact solutions to these problems are intractable, and as such he is interested in examining whether Monte Carlo (sampling-based) approximations are applicable in those cases.

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Assistant Professor

Biography

Mark Riedl is an assistant professor in the College of Computing, School of Interactive Computing.  As director of the Entertainment Intelligence Lab, Dr. Riedl's research focuses on the study of artificial intelligence and storytelling for entertainment (e.g., computer games).  Narrative is a cognitive tool used by humans for communication, sense-making, entertainment, education, and training. Consequently, there is value in discovering new computational techniques that make computers better communicators, entertainers, and educators. The principle research question Dr.

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Professor

Associate Chair, School of Interactive Computing

Biography

Dr. Stasko received the B.S. degree in Mathematics at Bucknell University in Lewisburg, Pennsylvania (1983) and Sc.M. and Ph.D. degrees in Computer Science at Brown University in Providence, Rhode Island (1985 and 1989). He joined the faculty here at Georgia Tech in 1989, and his primary research area is human-computer interaction.

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Associate Dean for Academic Affairs; Professor

Biography

Dr. Isbell's research passion is artificial intelligence. In particular, he focuses on applying statistical machine learning to building autonomous agents that must live and interact with large numbers of other intelligent agents, some of whom may be human.

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Assistant Director, External Relations

Biography

Vivian is primarily responsible for managing projects for the external relations office and establishing and maintaining relationships with sponsors that have formed or intend to form strategic partnerships with the Interactive and Intelligent Computing school and the GVU Center. She works with the director to ensure an effective and collaborative atmosphere among all team members. Her duties include:

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Professor

Biography

Professor Apostolico's research interests are in the areas of algorithmic analysis, design and application. Most of his work deals with algorithms and data structures for combinatorial pattern matching and discovery problems as arising in text editing, data compression, picture processing, biomolecular sequence analysis, etc.

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Research Scientist I

Office:

CCB Office 320

Email:

daniel [dot] walker [at] cc [dot] gatech [dot] edu (Send Email)

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Professor

Executive Director, Institute for People and Technology

Biography

Beth Mynatt is the Executive Director of the Institute for People and Technology (IPaT), a College of Computing Professor, and the Director of the Everyday Computing Lab. Themes in her research include supporting informal collaboration and awareness in office environments, enabling creative work and visual communication, and augmenting social processes for managing personal information.

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Regents' Professor

Biography

Janet Kolodner's research has addressed issues in learning, memory, and problem solving, both in computers and in people. She pioneered the computer reasoning method called case-based reasoning, a way of solving problems based on analogies to past experiences, and her lab emphasized case-based reasoning for situations of real-world complexity. Her book, Case-Based Reasoning, synthesizes work across the field of case-based reasoning from its inception to 1993.

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