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BIODATA ------Name : Dr. JAYATI GHOSHAL Present Address : Flat 4C, Achraj Towers I, Chhaoni, Sadar Nagpur 440013, Maharastra INDIA Email: [email protected] (permanent) Mobile: 91589 76632 RESEARCH INTERESTS: Fuzzy logic, neural nets, genetic algorithms; Robotic Vision, Computer Networks, Automated theorem prover, Computer Security. Artificial Intelligence & expert systems, Control Theory. EDUCATION: _________________________________________________________________________ Degree University Specialization _________________________________________________________________________ 1998, Feb PhD, Computer Indian Statistical Neuro-Fuzzy approach Science Institute, Calcutta to pattern recognition and object recognition 1990 ME, Electrical Engineering Jadavpur University, Calcutta Advanced Control Theory 1988 BE, Electrical Engineering Jadavpur University, Calcutta Control Theory and Computer architecture ------------------------------------------------------------------------------------------------------- TEACHING EXPERIENCE: 2008 - 09 Taught Operating systems, Artificial Intelligence and Object oriented programming in BITS PILANI Goa campus 2007 Taught AI and Expert Systems at Computer Science and Engg department, SRM University, Chennai, INDIA 2006 Taught Fizzy Logic at Computer Science and Engg department, SRM University, Chennai, INDIA 2001 Taught Operating Systems at International Institute of Information Technology at Hyderabad, INDIA 2000 Taught Principles of Programming Languages, Computer Networks and Problem solving Using C at University of California at Davis, USA 1999 Taught Data structures Using C++ and Computer Networks at Undergraduate and graduate levels at North Dakota State University, USA EMPLOYMENT: 2008, Oct – 2009 July Assoc Professor at BITS PILANI Goa Campus in the CS & IS division http://www.bits-goa.ac.in 2006, Oct – 2008 Sept Professor and Head, Department of Computer Science and Engg, SRM Institute of Science and Technology, Chennai http://www.srmuniv.ac.in 2005, Nov2006, Sept - Consultant, Vindhyachal Instruments, Nagpur 2003, March – November Research Professor, KAIST, Republic of Korea http://rit.kaist.ac.kr/home/Visiting_Professors 2001, July - Assistant professor at IIIT, Hyderabad http://www.iiit.net 2002, Jan 2000, Dec 2001 - June Visiting The department of Theoretical Computer science, TIFR, MUMBAI http://www.tifr.res.in 2000, July August Visiting Max Planck Institute at Saarbruecken, Germany http://www.mpi-sb.mpg.de 2000, Jan June Lecturer at the department of Computer Science, University of California at Davis, USA http://www.cs.ucdavis.edu 1999, Sept – Visiting Institute of Computer Networks and Sistributed Systems, University of Bern, Switzerland 1999, Aug 1998, November- 1999, December http://www.iam.unibe.ch/~rvs Assistant Professor, Department of Computer Science, North Dakota State University, USA http://www.cs.ndsu.nodak.edu 1997, July 1998, October Research Scientist, German National research Center, (GMD). Real-time intelligent algorithm for recognition of Dynamic scenes in a moving robot. Texas Instrument-C40 is used as the hardware platform. Off line hand written character recognition project (READ) http://www.ais.fraunhofer.de 1997 – Worked as Research scholar in Indian Statistical Institute, 1991 Kolkata, India http://www.isical.ac.in 1990 1991 Executive Engineer for Software Automation, Siemens Ltd, Calcutta. Designed power and control circuits for various Equipments in the Ore Preparation unit of the Durgapur Steel Plant in connection with a special Modernization Project. Assisted trainees for design and programming of automatic motor control units. (This unit was the first one successfully commissioned following the modernization.) OTHER PROJECT WORKS: 1999 SMILEY one NASA sponsored project (at department of Computer Science, North Dakota State University). SMILEY is a powerful on line satellite imagery analyzer and viewer. It provides a general interface from WWW using internet technology to access, display and analyze various sets of satellite data. Users can use any computer platform from any place on the planet earth to do imagery analysis. Users can do data mining based on pixel values, band functions and association rules. 1999 DIFFSERV (at University of Bern, Switzerland) Implementation of ATM on IP, checking particular Quality of Service on Diffserv Model and implementation of IP firewalling. 1989 Masters project in MS, Electrical Engineering. Study of some properties of adaptive control and its implementation in a CAI (Computer Aided Instruction) system, using BASIC. 1987 Senior project in BS, Electrical Engineering. Designed modulator/demodulator units in a servo system for controlling the speed of a motor. PHD THESIS ABSTRACT: A multi-dimensional Neuro Fuzzy method is developed for recognition of complex patterns, with a particular application to two dimensional occluded object recognition. A method is developed for obtaining a simplified fuzzy rule base which generates a human-like adaptive behavior when used in combination with a neural-network. This pattern-recognizer/classifier can be used for automated inspection of components in industrial applications. Book: https://www.amazon.com/Computing-Approach-Pattern-ClassificationRecognition/dp/1489990100/ref=sr_1_1/179-97211738312038?s=books&ie=UTF8&qid=1425468893&sr=1-1 TEACHING INTERESTS: 1) 2) 3) 4) 5) Computer Networks Computer Graphics Computer Vision Data structures Principle of Prog. languages 6) Artificial Intelligence 7) Neural Networks 8) Operating Systems 9) Fuzzy logic 10) Image Processing Selective Papers: 1) Neuro-Linguistic Approach to Pattern Recognition,Fuzzy Sets and Systems, 74(1995), pp. 277-305. 2) Approximate reasoning Approach to pattern recognition,Fuzzy Sets and Systems 77(1996), pp. 125-150. 3) A neuro fuzzy approach for pattern recognition,Neural networks, 10(1997), pp. 161-182. 4) Neuro genetic approach to pattern recognition - IIZUKA-96,Proceedings of IIZUKA-96, 1996, pp. 221-224. 5) A Neuro-Fuzzy aprroach for 2-D occluded object recognition,Fuzzy Sets and Systems, 94(1), 1998, pp. 1-28. 6) A neurogenetic approach to multidimensional fuzzy reasoning for pattern classification, Fuzzy Sets and Systems, 112 (3), 2000, pp. 449 - 483. SELECTIVE PAPERS UNDER REVIEW: 1) A multi-dimensional neurofuzzy reasoning for pattern recognition and 2-D occluded object recognition, submitted to Pattern Recognition. 2) A multidimensional neuro fuzzy reasoning for vowel classification, submitted to Neural Computing and Applications. 3) Character segmentation for off-line cursive script recognition, submitted to Pattern Recognition. PATENT Approved: Cell phone based Robot direction control (#273846) dated 4/7/2016 by Indian patent office HARDWARE/SYSTEMS EXPERIENCE: Sun-workstations, VAX/VMS, Silicon Graphics, PC, TEXAS C40. TEACHING PHILOSOPHY 1. I think the two key roles of a teacher are: (1) to impart/transfer new and useful knowledge to the students to improve/broaden their problem-solving ability, and (2) to develop their own learning-skills and self-confidence. 2. A teacher should make the lectures interesting and easy-to-follow in order to motivate learning. He should use a right combination of theory (methods) and applications to help the students develop a deeper appreciation of the need for theory and to make sure that the students learn how to apply the theory to solve practical problems. 3. A teacher should be sympathetic, understanding, and friendly. He should encourage the students to ask questions; the "enquiry" method is one of the most effective method of learning. By asking simple questions to begin with, a student can gradually learn to ask more serious and important questions, which then ultimately leads to creative work. A good teacher should be a good listener. RESEARCH PHILOSOPHY 1. I feel that my research should both complement and strengthen the current strengths in the dept. In particular, my research should provide new opportunities and directions for graduate students. 2. I feel that new breakthroughs in research come both from introducing new techniques and advancing existing techniques in an area, and also from combining techniques from different areas. I like interacting and working with people having different technical backgrounds. It gives me different perspectives, and it provides me opportunities for cross-fertilization of ideas and methods. I can work well as a member of a team. 3. I like working on problems of strategic importance with broad applications, involving new technologies. My research expertise spans several technical areas: neuro-fuzzy techniques, image processing/understanding, genetic and other AI-based machine learning techniques, clustering, and bayesian and non-parametric methods. I have extensive programming experience in these areas. My PhD work is on adaptive methods for pattern recognition, where I can combine statistical and neural net methods. One of the goal has been the understanding of the relationship (interdependence) between those two methods and exploiting their distinct strengths. I believe it is possible to build intelligent systems with human-like high-level real time cognitive abilities using parallel computation techniques. RECOGNITION: Recognized by International Whos’ Who for her achievement in the year 2006 REFERENCES: 1) Dr. V. Borkar Professor at Theoretical Computer sc group, TATA Institute of Fundamental research Mumbai Email: [email protected] 2) Prof. Sukhamay Kundu Department of Computer Science Louisiana State University, Baton Rouge, LA 70803, USA Email:[email protected] 3) Prof. C Pandurangan – Department of Computer Science and Engineering, Indian Institute of Technology, Chennai, INDIA Email:[email protected]