Abhijit S. Pandya

Professional Preparation:

• Ph.D. Computer Science, Syracuse University, Syracuse, New York, 1988
• M.S. Computer Science, Syracuse University, Syracuse, New York , 1985
• M.Sc. (5 yr integrated) Physics, Specialization in Electronics, Indian Institute of Technology, Bombay, India, 1982

Appointments:

• 2005 – March 2006, Interim Director, Office of International Programs, Florida Atlantic University, Florida 33431.
• 1999 – present, Professor, Department of Computer Science & Engineering, Florida Atlantic University, Florida 33431.
• 1994 – 1999, Associate Professor, Department of Computer Science & Engineering, Florida Atlantic University, Florida 33431.
• 1989 – 1994, Assistant Professor, Department of Computer Science & Engineering, Florida Atlantic University, Boca Raton, Florida 33431.
• 1988 – 1990, Member of Research Staff, Center for Complex Systems, Florida Atlantic University, Boca Raton, Florida 33431.
• Aug. 03 – July 04, Visiting Professor, Silla Univ, Busan, South Korea (Grant from Ministry of Information and Communications, Korean Government)
• Aug. 96 – May 97, Visiting Professor, Physical Research Laboratory, Ahmedabad, India
• Jan. 93 – May 93, Visiting Faculty, Department of Electrical & Electronic Engineering, University of Tokushima, Japan.
• 1982 – 1988 Graduate Assistant, Syracuse University, Syracuse, New York.

Publications:

Relevant publications:

1. “A Plastic Neural Network Model for Sound Therapy of Tinnitus”, Nagashino H., Kinouchi Y., Danesh A. A., and Pandya A. S Fujimoto K., IEEJ Trans. On Electronic and Electrical Engineering, Vol.2, No.4, pp. 488-490, 2007.
2. “Developing Combinational Multi-Component Therapies (CMCT) of Drugs that are More Specific and Have Fewer Side Effects than Traditional One Drug Therapies”, Liebovitch L. S., Tsinoremas N. and Pandya A. S., Nonlinear Biomedical Physics, vol.1, p. 11, 2007.
3. “GMDH-type Neural Network Algorithm with a Feedback Loop for Structural Identification of RBF Neural Network”, Tadashi Kondo, Abhijit S. Pandya and Hirofumi Nagashino, International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 11, no.7, pp. 157-168, 2007.
4. “Multi-layered GMDH-type Neural Networks with Radial Basis Functions and their Application to the 3-dimensional Medical Image Recognition of the Liver”, Tadashi Kondo, Junji Ueno and A.S.Pandya, Journal of Advanced Computational Intelligence, vol. 11, no. 1, pp. 96-104, 2007.
5. “GMDH-type Neural Network Algorithm with Sigmoid Functions”, T.Kondo, A.S. Pandya, T. Gilbar International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 7, no. 4, pp. 198-205, (2003).
Other publications
6. “A Novel Low Power Design of an ALU Using AdHoc Techniques”, Ankur Agarwal, A. S. Pandya, Young Uhg Lho, International Journal of Fuzzy Logic and Intelligent Systems, Vol.5, No.2 , pp.102-017, 2005.
7. “Design and Implementation of Artificial Intelligent Motorized Wheelchair System Using Speech Recognition & Joystick”, J. H. Kim, S. I. Kang, H. S. Ryu, W. I. Jang, S. B. Lee, A.S. Pandya, Control and Intelligent Systems, vol. 33 , no 2 , pp. 102 . 110, 2005.
8. “Modeling and Predicting Sunspot Activity — State Space reconstruction + Artificial Neural Network Methods”, D. R. Kulkarni, A. S. Pandya and J. C. Parikh , Geophysical Research Lettters, vol. 25, pp. 457-465, (1998).
9. “A Comparative Study of Pattern Recognition Techniques for the Quality Evaluation of Telecommunications Software”, T. M. Khoshgoftaar, D. L. Lanning, and A. S. Pandya, IEEE Journal on Selected Areas in Communications vol. 12, no. 2, pp. 279-291 (1994).
10. “The inversion of Sensory Processing by Feedback Pathways: A Model of Visual Cognitive Functions”, E. Harth, K.P. Unnikrishnan and A. S. Pandya, Science 237: 184-187 (1987).

Collaborators & Other Affiliations

Erich Harth, Syracuse University, advisor

Summary

Teaching

• In the past 5 years, in addition to Thesis and Dissertation courses, taught various graduate-level Directed Independent Study courses, COT 6930 Pattern Recognition, CAP 5615 Introduction to Neural Networks, CDA 6214 Structured VLSI Design, CDA 6422 Computer Design Automation, and CEN 5615 Computer Networks.
• Developed 4 of these graduate courses for the department's curriculum.

Thesis/Dissertation Supervision

• Supervised to completion 5 PhD Dissertation and 19 Master Theses, of which 1 PhD Dissertation and 13 Master Theses were supervised to completion over the past 5 years.
• Currently supervising 2 PhD students and 12 Master students, and serving on several committees.

Sponsored Research

• Received funding for 18 grants totaling approximately $3,500,000 (15 as Principal Investigator (PI) and 3 as Co-PI).
• Over the past 5 years received funding for $3,000,000 for 8 grants (6 as PI, 2 as Co-PI ).
• Helped co-found the Biometrics Research Group, which is funded by a sub-grant on a Federal Earmark funded by the Department of Defense.

Publications

• Over 23 year academic career, published over 100 refereed publications: 3 books (authored), 9 book chapters, 32 refereed journal papers, 62 refereed conference proceeding papers.
• Over the past 5 years, served on the editorial board of a new international engineering journal, published 16 journal and 19 refereed international conference papers.

Research Interests

• Drug Discovery: Apply computational intelligence algorithms and pattern recognition techniques, including neural networks to identify the optimum drug compositions based on individual's genetic data. Study effects of combinational multi-component drug therapies.
• Neural Circuitry: Study neural circuitry and build models of oscillatory neural networks with a disease specific treatment. e.g., tinnitus (ringing tone in the ear), aphasia etc. This project involves a multidisciplinary team including audiologists, physcians etc.