Ph.D., University of Texas at Austin, 1979; M.S., Case Western Reserve University, 1977; B.E., University of Calcutta, 1971
Theories of the brain, artificial neural networks, automated machine learning, data mining, pattern recognition, prediction and forecasting, intelligent systems, interactive search, models of cognition and nonlinear multiple objective optimization
Arizona State University: 1983-present. Previous Appointments: Stanford University; University of Nebraska, Omaha; Oak Ridge National Laboratory, Oak Ridge, Tennessee
Career and Professional Awards; Teaching Awards
Listed in Who's Who in America, 2000-present; Listed in Who's Who in American Education, 2003-2007; Listed in Who's Who in the World, 1987-2008;
Nominated for the W. P. Carey Outstanding Graduate Teaching award, 2014.
Governing Board Member, International Neural Network Society (INNS), 2012 -;
Founder & Chair, INNS Section on Autonomous Machine Learning, 2009 - present;
Founder & Chair, INNS Section on Big Data Analytics, 2014 -;
International Advisory Board, International Neural Network Society (INNS)-India;
Editorial Board Member, Neural Networks and Neural Information Processing - Letters and Reviews;
Guest Editor-in-Chief, Special Issue of Neural Networks on Autonomous Learning, 2013;
Guest Editor-in-Chief, Special Issue of Neural Networks on Big Data, 2014-15;
Letters Editor, IEEE Transactions on Neural Networks, 2000-2004; Associate Editor, IEEE Transactions on Neural Networks, 1996-1999; Editorial Board Member, Applied Intelligence, Kluwer Academic Publishers, 1996 - 2006;
Eduardo R. CAIANIELLO Lecture, Annual Meeting of the Italian Neural Network Society, Italy, 2011;
Plenary Speaker, Artificial Neural Networks in Engineering (ANNIE) 2008;
General Co-Chair, INNS Conference on Big Data, San Francisco, 2015 (www.innsbigdata.org);
Technical Program Co-Chair, International Joint Conference on Neural Networks (IJCNN), Ireland, 2015 (www.ijcnn.org);
General Chairman, ORSA/TIMS Joint National Meeting, Phoenix, 1993; Program Chair, ORSA/TIMS Joint National Meeting, Las Vegas, 1990;
Asim’s three theories of the brain
1. "A theory of the brain: localist representation is used widely in the brain": http://www.frontiersin.org/cognitive_science/10.3389/fpsyg.2012.00551/full
2. "An extension of the localist representation theory: grandmother cells are also widely used in the brain": http://www.frontiersin.org/cognitive_science/10.3389/fpsyg.2013.00300/ful
3. "Connectionism, controllers and a brain theory": http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=4648938&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D4648938
Phys.org reports on Asim’s three brain theories
Phys.org did the following reports on Asim’s brain theories:
1. On grandmother cells: "If you can't beat them, join them: Grandmother cells revisited" : http://medicalxpress.com/news/2013-05-grandmother-cells-revisited.html
2. On localist representation: "Do brain cells need to be connected to have meaning?" http://phys.org/news273783154.html
3. On controller theory of the brain: "Professor Finally Publishes Controversial Brain Theory": http://www.physorg.com/news146319784.html
Corporate and Public Sector Leadership
Manager, Optimization Center, Execucom Systems Corporation, 1981-1982; Planning Consultant, Execucom Systems Corporation, 1979-1981
RoyRRRRoy, A. 2012RRRRR RrrrR Roy, A. 2012. “A theory of the brain: localist representation is used widely in the brain.” Front. Psychology, 3:551. doi: 10.3389/fpsyg.2012.00551Roy, A. 2013. "An extension of the localist representation theory: grandmother cells are also widely used in the brain." Frontiers in Psychology, 4. http://www.frontiersin.org/cognitive_science/10.3389/fpsyg.2013.00300/ful
Roy, A. 2012. “A theory of the brain: localist representation is used widely in the brain.” Front. Psychology, 3:551. http://www.frontiersin.org/cognitive_science/10.3389/fpsyg.2012.00551/full
Roy, A., Mackin, P., Mukhopadhyay, S. (2013). "Methods for Pattern Selection, Class-specific Feature Selection and Classification for Automated Learning." Neural Networks. http://dx.doi.org/10.1016/j.neunet.2012.12.007
Pat Mackin, Asim Roy, Jyrki Wallenius. 2011. "An Interactive Weight Space Reduction Procedure for Nonlinear Multiple Objective Mathematical Programming." Mathematical Programming, Vol. 127, No. 2, pp. 425-444, April 2011.
Seiichi Ozawa, Asim Roy, Dmitri Roussinov. 2009. “A Multi-Tasking Learning Model for Online Pattern Recognition.” IEEE Transactions on Neural Networks, Vol. 20, No. 3, pp. 430-445, March 2009.
Roy, A. 2008, Patrick Mackin, Jyrki Wallenius, James Corner, Mark Keith, Gregory Schmick and Hina Arora. "An Interactive Search Method Based on User Preferences." Decision Analysis (an INFORMS journal), Vol. 5, No. 4, pp. 203-229, Dec. 2008.
Roy, A. 2008. "Connectionism, controllers and a brain theory." IEEE Transactions on Systems, Man and Cybernetics, Part A. Vol. 38, No. 6, pp. 1434-1441. November 2008.
Roy, A. 2000. "On Connectionism, Rule Extraction and Brain-like Learning." IEEE Transactions on Fuzzy Systems, Vol. 8, No. 2, pp. 222-227.
ASU is a tier 1 research university and W. P. Carey is proud of its strong tradition of teaching and classroom excellence. Our students directly benefit from the research and theories our faculty brings into the classroom. Below is a list of courses being taught during the current semester by this faculty member. Click a course to view it in the ASU course catalog.
CIS 508 - Data Mining I
Charting a roadmap for data-driven decision making and getting a practical understanding of how IT tools and techniques can allow managers to extract predictive analytics and patterns from primarily numeric data.