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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
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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]