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IMPORTANT DATES and MORE
INFORMATION FOR THE
SESSION:
http://worldses.org/conferences/2006/romania/dncoco/
Brief Biography of
the Organizer:
Education:
Ph.D. in Physics from University of Virginia, USA
M.Sc. in Physics with Biophysics in First Class from Calcutta
University, India
B.Sc. with First Class honors in Physics from Presidency College,
Calcutta University..
Recent/Current Research:
Image Processing and Pattern Recognition with applications primarily
in Medical Image Processing obtained from CT and MRI modalities as
well as X-ray images. Also worked on PET images. Work done on
Medical Image Registration, Data Fusion, Segmentation and Pattern
Analysis using Neural Networks .
Currently working on Osteoarthritis detection in X-ray images as
well as simulation and modeling of Olfactory bulb of brain, modeling
of mental disorders and brain stroke.
Also doing some work on domain ontology and web mining (AI related),
cloud image processing and pattern analysis for weather prediction
and data mining related to protein structure and function.
.
Current Occupation:
Senior faculty at IIIT-C ( now IT department of West Bengal
University of Technology). Also functioned as Acting Director of
IIIT-C from 25.04.02 to 30.04.03.
Publications:
Several Publications in refereed International Journals resulting
from Medical Image processing of CT and morphological MR brain
images, X-ray images, as well as in Physics.
Some representative publications in Image Processing:
• Osteoarthritis detection in X-ray images using CNN algorithms,
conference abstract 2363, IEEE, Medical Imaging Conference 2004,
Rome, Italy.
• Cellular Neural Network Algorithms in hand osteoarthritis
detection, submitted (2005-06).
• Multisensor Data Fusion incorporating Fuzzy Membership, Partial
Aggregation and reinforcement, (accepted in WSEAS, Computers,
534-376.pdf) 2006.
1. Shape analysis and volumetry studies using 3DVIEWNIX with
applications to
Medical imaging, Intl. J. Image Processing and Communications, 5(1),
3-10 (2000)
2. Shape matching in multimodal medical images using point landmarks
with
Hopfield net, Neurocomputing, 30, 103-116 (2000).
3.A fuzzy c-means approach to tissue classification in multimodal
medical imag
-ing, Information Sciences, 115(1-4), 261-279 (1999).
4..Point landmarks in the registration of MR and CT images, Pattern
Recognition Letters, 16, 1033- 1042 (1995).
5.Mathematical techniques in biomedical imaging, Ind. J. Pure Appl.
Math., 215, 143-180 (1994).
Courses taught include but are not limited to: Medical Imaging and
Image Processing, Artificial Intelligence, Parallel Processing,
Multimedia Technology, Neuro-Informatics.