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Curriculum Vita

Name:          Raj Krishna Bhatnagar

Address:            ML-0030 ECECS Department
                              University of Cincinnati
                              Cincinnati, OH 45221
                              Tel: 513-556-4932     Fax: 513-556-7326
                              email: raj.bhatnagar@uc.edu

Education:

                              Doctor of Philosophy in Computer Science. Dec. 1989,
                                        University of Maryland,  College Park, Md-20740.

Master of Science in Computer Science. Dec. 1985,
          University of Maryland,  College Park, Md. 20740.

Bachelor of Technology in Electrical Engineering. July 1979,
          Indian Institute of Technology, New Delhi, India.
 

Employment:
 
(Sept. '95 - Present ) Associate Professor, ECE&CS Department
University of Cincinnati, Cincinnati, OH-45221.

(Sept. '89 - Aug. '95 ) Assistant Professor, Computer Science Department,
University of Cincinnati, Cincinnati, OH-45221.

(Jan. '83 - Aug. '89) Graduate Assistant, Computer Science Department,
University of Maryland, College Park, Md 20740.

(Sept. 84 - Aug. 88) Part-Time Lecturer, University College, University of Maryland, College Park, Md. 20740.

(Oct. '80 - Nov. '82) Worked at The World Bank in Washington DC.
Designed and implemented an on-line crash recovery mechanism for a
large transaction processing database software. Also participated in the
design of various financial application systems.

(Sept. '79 - Sept. '80)Software Engineer. Worked at the Miami center of
Burroughs Corporation. Participated in the development and testing of
software systems.


Research Interests:

Distributed Artificial Intelligence, Methodologies for reasoning, machine learning, decision making with uncertain knowledge, pattern recognition and related problems in Artificial Intelligence.
Publications:
  1. Refereed Journals and Refereed Book Chapters:
    1. A Hybrid System for Target Classification, in Pattern Recognition Letters, 18(1997) pp 1399-1403. (Jointly with Richard Horvitz and Rob Williams)
    2. Context Hypothesization Using Probabilistic Knowledge, in Fundamenta Informaticae, vol. 23, No. 4, August, 1995, pp. 225-246.
    3. Models from Data for Various Types of Reasoning, in the book Selecting Models from Data edited by Peter Cheeseman and R W Oldford and published by Springer-Verlag in the Lecture Notes in Statistics series, #89, pp. 173-180, 1994. (jointly with L. N. Kanal).
    4. Structural and Probabilistic Knowledge for Abductive Reasoning, in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, number 3, March 1993, (jointly with L. N. Kanal).
    5. Models of Inquiry and Formalisms for Approximate Reasoning, published in the book Fuzzy Logic for the Management of Uncertainty edited by Lotfi A Zadeh and Janusz Kacprzyk. Published by John Wiley and Sons, Inc. New York, 1992, pp. 29-54. (jointly with L. N. Kanal)
    6. Using Probabilities as Control Knowledge to Search for Suitable Problem Models in Automated Reasoning. Appeared in Operations Research and Artificial Intelligence : The Integration of Problem Solving Strategies, ed. Donald E. Brown. Kluwer Academic Publishers, 1991. (jointly with L. N. Kanal)
  2. Survey Papers:
    1. Reasoning in Uncertain Domains : A Survey and Commentary, Appeared in the book Encyclopedia of Computer Science and Technology, edited by Allen Kent, James G. Williams, and Carolyn M. Hall, published in 1993 by Marcel Dekker Inc., vol. 27, pp 297-316.

      2. The editors received good feedback for this survey paper and have included the same in their later volume Encyclopedia of Microcomputers, published in 1994 by the same publishers, vol. 14, pp 309-328. (jointly with L. N. Kanal)
  3. Refereed Conference Proceedings:
    1. Pattern Discovery in Distributed Databases. Proceedings of the AAAI-97 Conference held at Providence, RI, in July 1997. (Co-author: Sriram Srinivasan)
    2. Decision Tree Induction by Cooperating Agents. Proceedings of the Workshop on Multi-Agent Learning held at Providence, RI, in July 1997.
    3. Templates with Lower Mean-Square Error for ATR. Conference on Algorithms for Synthetic Aperture Radar Imagery - IV, held as part of SPIE's 11th international symposium held in April 1997. (Co-author: Maj. Rob Williams)
    4. Exploratory Model Building. Proceedings of the 10th International Conference on Uncertainty in AI - held in July 1994 at Seattle, pp. 77-85.
    5. Learning Characteristic Rules in a Target Language, Proceedings of the Pattern Recognition in Practice - IV Conference, held in June 1994 in Netherlands, pp. 267-278, Published by North Holland, 1994.
    6. Abduction of Precise Situation Models. Presented at the Second International Symposium on Uncertainty Modeling and Analysis held in April 1993. Proceedings published by IEEE.
    7. Construction of Domain Models from Data. Presented at the Fourth Workshop on Artificial Intelligence and Statistics held in January 1993 at Ft Lauderdale, Fla. (jointly with L. N. Kanal)
    8. Reasoning by Hypothesizing Causal Models. Presented at the IEEE symposium on uncertainty modeling in December 1990. (jointly with L. N. Kanal)
    9. A Formalism for Automated Generation of Preferred Arguments, Proceedings of AAAI Symposium on Argumentation and Belief, held in Mar. 1991 at Stanford University, pp. 39-61 of Proceedings.
    10. Realization of Microprocessor based reading Aid for the Blind, Proceedings of the 1981 annual conference of Computer Society of India, pp.268-275. (jointly with S. K. Guha, Sneh Anand, Arun Agarwal, and Narendra Bansal)
  4. Invited and Other Book Chapters:
    1. Hypothesizing Causal Models for Reasoning, published in the book Analysis and Management of Uncertainty : Theory and Applications, edited by B. M. Ayyub, M. M. Gupta, and L. N. Kanal, published by Elsevier North Holland, 1992, pp. 93-106.(jointly with L. N. Kanal)
    2. Constructing Alternate Preferred Lines of Reasoning in Inconsistent Knowledge Environments, in Pattern Recognition and artificial Intelligence - towards an Integration, eds. E. Gelsema and L. N. Kanal, North Holland, 1988. pp.353-367. (jointly with L. N. Kanal)
    3. Handling Uncertain Information : A Review of Numeric and Non-Numeric Methods, in Uncertainty in Artificial Intelligence, eds. L. N. Kanal and J. F. Lemmer, North Holland, 1986. (jointly with L. N. Kanal)
  5. Publications in Other Conferences:
    1. A Study of Intra-Class Variability in ATR Systems. Proceedings of SPIE's 1998 conference on Algorithms for Synthetic Aperture Radar Imagery - V. (Co-Authors: Ron Dilsavor, Mark Minardi, and Dax Pitts)
    2. Target Model and Signature Synthesis Quality in a Real-World ATR Context. Presented at the ATR Systems and Technologies conference organized by ATR Working Group, Oct. 1997. (Co-Authors: Ron Dilsavor, Mark Minardi, and Dax Pitts)
    3. Pattern Discovery in Distributed Environments. Symposium on Technologies for Intelligent Systems held at University of Maryland, College Park, October 11-14, 1996.
    4. Probabilistic Contexts for Reasoning. AAAI Fall Symposium on ``Formalizing Contexts'' held at M.I.T. in Novemner 1995.
    5. Hypothesizing Relevant Models. AAAI Fall Symposium on ``Relevance'' held in November 1994.
    6. On Constructing Models from Data, 3rd International Conference on Advances in Pattern Recognition and Digital Techniques, held in Dec. 1993 in Calcutta, India.
    7. Discovering Qualitative Structures in Databases, in the Workshop notes of Intelligent Information Integration Systems Workshop organized by DARPA and held in Reston, VA during 17-19 March, 1993.
    8. Abductive Reasoning with Causal Influences of Interactions, Proceedings of the AAAI Workshop on Domain Independent Strategies for Abduction, held in July 1991 at Los Angeles, pp. 1-8.
    9. Hypothesizing Interesting Causal Models, Presented at the AAAI workshop on Construction of Decision Models for Intelligent Reasoning, held in July 1991 at Los Angeles.

      10.  

       
       
       
       
       

  6. Dissertation:
    1. Construction of Preferred Causal Hypotheses for Reasoning with Uncertain Knowledge, Ph.D. Dissertation, December 1989, University of Maryland, College Park.
Grants and Awards:
  1. Awarded $201,666 by NSF (I am one of the Co-PIs) for the project: ``Acquisition of a Research Network for Distributed Computing.'' (September 1998 - August 2001)
  2. Awarded $152,000 by DARPA (sub-contract through Mission Research Corporation) for the project ``Unified Design of 1-D Automatic Target Recognition Systems for Surveillance and Attack.'' (July 1998 - June 2001)
  3. Awarded $25,000 by Air Force Office of Scientific Research for a study of intra-class variability in the context of Automatic Target Recognition. (April 1998 - December 1998)
  4. Awarded Summer Faculty Research Fellowship at Wright Labs, Wright Patterson Air Force Base, Dayton, OH, by AFOSR during summer 1996 and also summer 1997.
  5. Awarded $5000 by the Center for Integrated Research, a multi-disciplinary center of the University of Cincinnati for studying the suitability of AI reasoning techniques to the problems in Industrial Marketing. (June 91 - Aug 91).
  6. Awarded $88,472 by NSF for studying knowledge based methods of hypothesizing situational and domain models. (July 1993 - June 1996).
Membership in Professional Societies:
  1. American Association for Artificial Intelligence
  2. IEEE
  3. SPIE
  4. ACM