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| George Cybenko | Richard Granger | ||
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| Dorothy and Walter Gramm Professor of Engineering and Adjunct Professor of Computer Science Thayer School of Engineering Dartmouth College |
W. H. Neukom Distinguished Professor of Computational Sciences Professor of Psychological and Brain Sciences Dartmouth College |
George Cybenko : Dorothy and Walter Gramm
Professor of Engineering
Information systems and theory
Agent-based systems engineering aims to successfully cross-fertilize the fields of systems engineering and artificial intelligence. Systems engineering (control, signal processing and communications) focuses primarily on physical domains that can be characterized by rich mathematical dynamics while artificial intelligence deals with human perception, decision making and action. Goals of such cross-fertilization are to explore the modeling, performance and scientific foundations of software agent systems using ideas from classical systems engineering and computer engineering.
http://agent.cs.dartmouth.edu/
The ActComm Project on Transportable Agents and Wireless Networks is funded by the Air Force Office Of Scientific Research through a Department of Defense Multidisciplinary University Research Initiative (MURI) grant. Kickoff on the 5 year effort was in July, 1997. See the Overview page for a good introduction to the project. http://actcomm.dartmouth.edu/
The Institute for Security, Technology, and Society (ISTS) at Dartmouth
College is dedicated to pursuing research and education to advance information
security and privacy throughout society. ISTS engages in interdisciplinary
research, education and outreach programs that focus on information technology
(IT) and its role in society, particularly the impact of IT in security
and privacy broadly conceived. ISTS nurtures leaders and scholars, educates
students and the community, and collaborates with its partners to develop
and deploy IT, and to better understand how IT relates to socio-economic
forces, cultural values and political influences.
http://www.ists.dartmouth.edu/
Richard Granger : Brain circuit analysis, algorithm development, neuroimaging analysis, robotics, medical diagnostics, pharmaceutical development.
http://www.dartmouth.edu/~psych/people/faculty/granger.html
Welcome to The Brain Engineering Laboratory: Our brains are the most complex objects known to man. We cannot yet explain how our brains enable us to recognize objects and actions, how we learn, how we plan, how we use language. Yet these tasks are so natural for us they seem effortless. Through extensive interdisciplinary collaborations, the Brain Engineering Laboratory combines research from neuroscience, computer science, and cognitive science to advance our understanding of how brains operate, as well as how they fail to operate in certain conditions (such as neurological diseases).
The Laboratory has two primary goals: understanding and analysis of brain circuits, and construction of equivalent circuits. In both cases, real-world applications are developed as our understanding deepens.
New methods have been developed for diagnosing, and evaluating treatments for, brain dysfunctions including Alzheimer's Disease, Mild Cognitive Impairment (a primary precursor of Alzheimer's), and Parkinson's Disease. These include a novel method for analyzing electroencephalographic (EEG) measures to aid clinicians in early diagnosis of these conditions, currently being clinically tested in the US and Europe, and the development of novel centrally-active pharmaceuticals.
Powerful new brain-derived computational systems are being developed (see 'Research') to apply recent findings to applications ranging from face and voice recognition to robotics, in medical, commercial, and military domains (see 'Applications').