# This file contains your faculty bio. # # Each entry in this file is formatted as follows: # # %NAME Full name # %PHD University, 19xx # %AREA Research area, research interest, research interest # %PICT URL for picture file (optional) # %HOME URL for home page # %BIO Brief biography (150-200 words) # # Each field should be on one line, except %BIO which can run over # several lines. No HTML, please. In the %HOME field, you may use # http://www.cc.gatech.edu/{ai,cogsci}/faculty/NAME/ for your URL, # or the URL of your Web directory. %NAME Ron Arkin %PHD University of Massachusetts, Amherst, 1987 %AREA Mobile robotics, action-oriented perception, multi-agent cooperation %PICT http://www.cc.gatech.edu/aimosaic/faculty/arkin/arkin.gif %HOME http://www.cc.gatech.edu/ai/faculty/arkin/ %BIO Ronald C. Arkin is an Associate Professor in the College of Computing and the Director of the Mobile Robot Laboratory. Dr. Arkin's research interests include reactive control and action-oriented perception for the navigation of mobile robots and unmanned aerial vehicles, robot survivability, multi-agent robotic systems, and learning in autonomous systems. He has over 80 technical publications in these areas. Funding sources have included the National Science Foundation, ARPA, U.S. Army, Savannah River Technology Center, and the Office of Naval Research. Dr. Arkin is an Associate Editor for IEEE Expert and the Journal of Environmentally Conscious Manufacturing, and a member of the Editorial Board of Autonomous Robots. He is a Senior Member of the IEEE, and a member of AAAI and ACM. %NAME Kurt Eiselt %PHD University of California, Irvine, 19xx %AREA Natural language understanding, resolving ambiguities, error recovery, inference processing %PICT http://www.cc.gatech.edu/cogsci/faculty/ram/eiselt.gif %HOME http://www.cc.gatech.edu/cogsci/faculty/eiselt %BIO After far too many years in grad school, I finally received my Ph.D. in Information and Computer Science in 1989 from the University of California, Irvine. My dissertation described a computational model of the mechanisms employed by readers to resolve lexical ambiguities, and how they recover when a decision about how to resolve an ambiguity later proves to be incorrect. Today, my primary area of research involves looking at related problems in natural language understanding, with an emphasis on building computational models of human sentence processing mechanisms. I'm especially interested in finding out what we can learn about the cognitive architecture of language understanding from the behavior of aphasics. If I had to go out on a limb and give this type of work a name, I'd call it something like computational psycholinguistics. %NAME Ashok Goel %PHD Ohio State University, 1989 %AREA Problem solving and learning, design, mental models, analogical reasoning %PICT http://www.cc.gatech.edu/aimosaic/faculty/goel/goel.gif %HOME http://www.cc.gatech.edu/aimosaic/faculty/goel/ %BIO Ashok Goel is an Associate Professor of Computer and Cognitive Science in the College of Computing at Georgia Institute of Technology. He is a faculty member in the cognitive science program, the artificial intelligence group, the intelligent systems and robotics group, and the mobile robotics laboratory. %NAME Mark Guzdial %PHD University of Michigan, 19xx %AREA Educational computing %PICT http://www.cc.gatech.edu/gvu/people/Faculty/Mark.Guzdial/guzdial.gif %HOME http://www.cc.gatech.edu/cogsci/faculty/guzdial/ %BIO Mark Guzdial is an Assistant Professor in the College of Computing at Georgia Institute of Technology. He received his Ph.D. in education and computer science (a joint degree) at the University of Michigan in 1993, where he developed Emile, an environment for high school science learners programming multimedia demonstrations and physics simulations. He is also the designer of MediaText, a multimedia composition environment used in elementary and high school classrooms. Mark is a member of the GVU Center and the Cognitive Science program. %NAME Janet Kolodner %PHD Yale University, 1980 %AREA Case-based reasoning, learning, creativity, aiding decision making, design, educational technology %PICT http://www.cc.gatech.edu/cogsci/faculty/kolodner/kolodner.gif %HOME http://www.cc.gatech.edu/cogsci/faculty/kolodner/ %BIO Janet L. Kolodner is Professor in the College of Computing at the Georgia Institute of Technology, Director of the EduTech Institute , and Editor in Chief of of The Journal of the Learning Sciences. She received her Ph.D. in computer science from Yale University in December, 1980. Professor 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. Professor Kolodner has written two books and edited four, and has authored some dozens of technical papers. Her newest book, Case-Based Reasoning, published by Morgan Kaufmann in 1994, presents work done by the entire case-based reasoning community, pulling together and comparing, for the first time, the different approaches researchers have made to addressing case-based reasoning's important issues. Professor Kolodner is Editor in Chief of The Journal of the Learning Sciences, a cognitive science journal focussing on learning and education. %NAME Nancy Nersessian %PHD Case Western Reserve University, 1977 %AREA Philosophy of science, conceptual change, creativity %PICT http://www.lcc.gatech.edu/faculty/nersessian/nersessian.gif %HOME http://www.cc.gatech.edu/cogsci/faculty/nersessian/ %BIO Nancy Nersessian is trained as a philosopher of science. She studies the processes of conceptual innovation and change science. On her view, scientific problem solving processes are held to be on a continuum with those employed in the more ordinary problem solving in everyday learning. Thus, a major objective of her research is to create a working synthesis between philosophical/historical case studies of scientific practices and investigations of representational and reasoning practices carried out in the sciences of cognition. At present, she is investigating the role of imagery, analogy, and thought experimenting in conceptual change, both in science and in science education. Further, she is examining the nature of concept and theory representation. Her historical research centers on 19th and 20th century electrodynamics and relativity theory. Professor Nersessian is Series Editor for the Science and Philosophy book series (Kluwer Academic Publishers). She is on the governing board of the Philosophy of Science Association. %NAME Ashwin Ram %PHD Yale University, 1989 %AREA Artificial intelligence, cognitive science, machine learning, case-based reasoning, natural language story understanding, creativity, education %PICT http://www.cc.gatech.edu/faculty/ashwin/ram.gif %HOME http://www.cc.gatech.edu/faculty/ashwin/ %BIO Ashwin Ram is an Associate Professor in the Artificial Intelligence Group of the College of Computing of the Georgia Institute of Technology, an Associate Professor of Cognitive Science, an Adjunct Professor in the School of Psychology, and a faculty member in the Graphics, Visualization, and Usability Center, the Intelligent Systems and Robotics group, and the Mobile Robot Lab. He received his B.Tech. in Electrical Engineering from the Indian Institute of Technology, New Delhi, in 1982, and his M.S. in Computer Science from the University of Illinois at Urbana-Champaign in 1984. He received his Ph.D. degree from Yale University for his dissertation on "Question-Driven Understanding: An Integrated Theory of Story Understanding, Memory, and Learning" in 1989. Dr. Ram's research interests lie in the areas of artificial intelligence, cognitive science, machine learning, case-based reasoning, natural language story understanding, creativity, and education, and he has several research publications in these areas. He is a co-editor of a book on Goal-Driven Learning, published by MIT Press/Bradford Books. %NAME shared-info %HOME http://www.cc.gatech.edu/aimosaic/ai/ %BIO No bio available. %NAME atkeson %HOME http://www.cc.gatech.edu/fac/Chris.Atkeson/ %BIO No bio available.