| Carole Hafner Associate Professor • Researches applied natural language processing, ontology design, and architectures for intelligent information retrieval • With Donald Berman of the Northeastern University School of Law, developed a teleological reasoning model for retrieval of legal precedents • With PhD student Natalya Fridman Noy, designed and implemented an ontological framework for representing data from molecular biology. |
| Patrick Wang Professor • Has published 120 papers and 20 books on pattern recognition, artificial intelligence, and imaging technologies • Now creating a virtual laboratory where testing and experiments can be conducted on two- and threedimensional images and objects, including articulated objects • Founding editor in charge of the International Journal of Pattern Recognition and Artificial Intelligence • Fellow of International Association for Pattern Recognition and general cochair for 2006 conference. |
| Ronald Williams Associate Professor • Focuses on machine learning, a subspecialty of artificial intelligence • Recently devised a novel machine-learning algorithm for application to automatic protein function prediction • Has a long-standing interest in creating more efficient algorithms for autonomous agents facing delayed-reinforcement learning tasks • Codeveloper of the widely used back-propagation algorithm to train multilayer artificial neural networks; the paper introducing the algorithm, originally published in Nature, is one of the most recognized in the field. |
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Team Achievements Researched ways to enable 3-D object recognition with learning. Codeveloped a widely used back-propagation algorithm to train artificial neural networks. Proposed new algorithms for retrieving relevant legal cases from a database based on contextual aspects as well as factual similarity. |
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