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Amy Bruckman

My research applies the "constructionist" philosophy of education to the design of online communities. Constructionism advocates learning through design and construction activities – learning through working on personally meaningful projects. The Internet has a unique potential to make constructionist learning scalable and sustainable in real-world settings, because it makes it easy to provide social support for learning and teaching. In electronic learning communities, participants can help motivate and support one-another's activities.

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Ruth Dalton

Floorplate Potential: A Spatial Analysis: To evaluate different office building floorplates focusing upon their usability/flexibility in accommodating GSA client organizations; Immersion, Agency and Transformation, Topological Slamm by Sampling the Space and Topology of Isovists.

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Mary Jean Harrold

The overall goal of my research is to develop efficient techniques and tools that will automate, or partially automate, development, testing, and maintenance tasks. My research to date has involved program analysis based software engineering, with an emphasis on regression testing, analysis and testing of imperative and object-oriented software, development of software tools, and investigation of the scalability issues of these techniques, through algorithm development and empirical evaluation.

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Janet L. Kolodner

Prof. Kolodner's research work investigates issues in learning, memory, and problem solving. As part of these investigations, she pioneered the reasoning method called case-based reasoning. In case-based reasoning, the results of previous cases are applied to new situations, cutting down the complexity of the reasoning necessary in later situations and allowing a problem solver to anticipate and avoid previously-made mistakes. Automated case-based reasoners from her lab include MEDIATOR and PERSUADER, common sense and expert mediation programs; JULIA, a case-based design problem solver; CELIA, a case-based car mechanic; MEDIC, a case-based physician; and EXPEDITOR, a case-based logistics manager. Emphasis in Kolodner's lab has been on case-based reasoning for situations of real-world complexity.

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Ling Liu

Hi! I'm an associate professor at the College of Computing at Georgia Tech. Before joining GT, I was on the faculty at the Department of Computer Science and Engineering, Oregon Graduate Institute of Science and Technology from 1997-1999, and on the faculty at the Department of Computer Science, University of Alberta from 1994 - 1998. I am currently a member of ACM and IEEE Computer Society. Some of my research projects are sponsored by NSF, DoE, and DARPA. I am also a participant of the Yamacraw program, State of Georgia.|

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Milena Mihail

Theory: Spectral Analysis, Markov Chains, Applied Probability, Randomized and Approximation algorithms. Networking: Internet Models and Algorithms, Large Scale Data, Design of High Speed networks.

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Elizabeth (Beth) Mynatt

Elizabeth Mynatt, an Assistant Professor in the College of Computing, received a Ph.D degree in Computer Science from Georgia Institute of Technology in 1995, where she was also a research scientist in the GVU Center. Her research centers around human computer interaction, ubiquitous computing, augmented reality, auditory interfaces, assistive technology and everyday.

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Nancy J. Nersessian

Nancy J. Nersessian is Professor of Cognitive Science at the Georgia Institute of Technology. She is appointed jointly in the School of Public Policy and the College of Computing. She has an A.B. in Physics and Philosophy from Boston University and M.A. and Ph.D. degrees from Case Western Reserve University in Philosophy. Her research focuses on the nature and processes of conceptual innovation and change in science; specifically, investigating the role of analogical and visual modeling and thought experimenting (simulative modeling), both in science and in science education. Her current research includes examining reasoning and representational practices in biomedical engineering.

Dana Randall

Associate Professor of theoretical computer science in the College of Computing and Adjunct in the School of Mathematics at Georgia Tech. My research interests are Randomized algorithms, Markov chain Monte Carlo, Computational problems from statistical physics, Combinatorics.

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Ellen Zegura

The theme of Ellen's research work is the development of wide-area (Internet) networking services. Wide-area services are utilized by applications that are distributed across multiple administrative domains (e.g., web, file sharing, multi-media distribution). Her focus is on services implemented both at the network layer, as part of network infrastructure, and at the application layer. The work in this area falls into three categories: (1) measurement and modeling, (2) development of new services, and (3) investigation of paradigms and platforms to support new services. More detail on particular projects may be found below.

Last modified 30 September 2003 at 6:03 pm by K.K. Lamberty