INCREDB ID : 274
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Jyotirmoy Chatterjee, Ph.D.
Associate Professor 
 
Indian Institute of Technology, Kharagpur
Medical Science & Technology
IIT Campus
Kharagpur - 721 302   
West Bengal   
 
E-mail: jchatterjee@smst.iitkgp.ernet.in
Phone: +91 - 3222 - 282302, +91 - 3222 - 282303
 
URL: http://www.iitkgp.ac.in/fac-profiles/showprofile.php?empcode=bYmVX
 
Positions Held:
Position Affiliation Time Period
Assistant Professor Indian Institute of Technology, Kharagpur 2007
Assistant Professor Indian Institute of Technology, Kharagpur Present
 
Area of Specialization:
Molecular Oncology
Research Summary:
Multimodal Imaging -Analysis for Wound & Cancer Theranostics and Regenerative Medicine Research
 
Publications:
1. Chaudhary, A., Bag, S., Mandal, M., Krishna, K., Barui, A., Rajput, M., Banerjee, P., Sheet, D. and Chatterjee, J.  Modulating prime molecular expressions and in vitro wound healing rate in keratinocyte (HaCaT) population under characteristic honey dilutions. Journal of Ethnopharmacology. 2015.  166, 211-219. [PubMed]
2. Banerjee, S. and Chatterjee, J.  Efficient extraction strategies of tea (Camellia sinensis) biomolecules. Journal of Food Science and Technology. 2015.  52, 3158-3168. [PubMed]
3. Bag, S., Banerjee, D. R., Basak, A., Das, A. K., Pal, M., Banerjee, R., Paul, R. R. and Chatterjee, J.  NMR ((1)H and (13)C) based signatures of abnormal choline metabolism in oral squamous cell carcinoma with no prominent Warburg effect. Biochemical and Biophysical Research Communications. 2015.  459, 574-578. [PubMed]
4. Anura, A., Das, R. K., Pal, M., Paul, R. R., Ray, A. K. and Chatterjee, J.  Correlated analysis of semi-quantitative immunohistochemical features of E-cadherin, VEGF and CD105 in assessing malignant potentiality of oral submucous fibrosis. Pathology, Research and Practice. 2014.  210, 1054-1063. [PubMed]
5. Monika Rajput,Nandini Bhandaru, Ananya Barui, Amrita Chaudhary,Ranjan Rashmi Paul, Rabibrata Mukherjee and Jyotirmoy Chatterjee.  Nano-patterned honey incorporated silk Fibroin membranes for improving cellular compatibility. RSC Adv. 2014, 4, 44674–44688. 
6. Anura, A., Conjeti, S., Das, R. K., Pal, M., Paul, R. R., Bag, S., Ray, A. K. and Chatterjee, J.  Computer-aided molecular pathology interpretation in exploring prospective markers for oral submucous fibrosis progression. Head & Neck. 2014.  [PubMed]
7. Ananya Barui, Provas Banerjee, AmritaChaudhary, Sailesh Conjeti, Bikash Mondal, Susmita Dey, Jyotirmoy Chatterjee. Evaluation of Angiogenesis in diabetic lower limb wound healing using a natural medicine: A quantitative approach Wound Medicine. 2014, 6(26-33)
8. Sheet, D., Karamalis, A., Eslami, A., Noel, P., Chatterjee, J., Ray, A. K., Laine, A. F., Carlier, S. G., Navab, N. and Katouzian, A.  Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound. Medical Image Analysis. 2014.  18, 103-117. [PubMed]
9. Sheet, D., Karamalis, A., Eslami, A., Noel, P., Virmani, R., Nakano, M., Chatterjee, J., Ray, A. K., Laine, A. F., Carlier, S. G., Navab, N. and Katouzian, A.  Hunting for necrosis in the shadows of intravascular ultrasound. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 2014.  38, 104-112. [PubMed]
10. Bag, S., Conjeti, S., Das, R. K., Pal, M., Anura, A., Paul, R. R., Ray, A. K., Sengupta, S. and Chatterjee, J.  Computational analysis of p63(+) nuclei distribution pattern by graph theoretic approach in an oral pre-cancer (sub-mucous fibrosis). Journal of Pathology Informatics. 2013.  4, 35. [PubMed]
11. Das, R. K., Anura, A., Pal, M., Bag, S., Majumdar, S., Barui, A., Chakraborty, C., Ray, A. K., Sengupta, S., Paul, R. R. and Chatterjee, J.  Epithelio-mesenchymal transitional attributes in oral sub-mucous fibrosis. Experimental and Molecular Pathology. 2013.  95, 259-269. [PubMed]
12. D Sheet, A Chaudhary, SPK Karri, D Das, A Katouzian, P Banerjee, N Navab, J Chatterjee, A K. Ray. In situ histology of mice skin through transfer learning of tissue energy interaction in optical coherence tomography. Journal of Biomedical Optics. 2013 18(9):090503(1-3)
13. Barui, A., Mandal, N., Majumder, S., Das, R. K., Sengupta, S., Banerjee, P., Ray, A. K., RoyChaudhuri, C. and Chatterjee, J.  Assessment of molecular events during in vitro re-epithelialization under honey-alginate matrix ambience. Materials Science & Engineering. C, Materials For Biological Applications. 2013.  33, 3418-3425. [PubMed]
14. Garud, H. T., Sheet, D., Mahadevappa, M., Chatterjee, J., Ray, A. K. and Ghosh, A.  Breast fine needle aspiration cytology practices and commonly perceived diagnostic significance of cytological features: A pan- India survey. Journal of Cytology / Indian Academy of Cytologists. 2012.  29, 183-189. [PubMed]
15. Mandal, S., Basak, K., Mandana, K. M., Ray, A. K., Chatterjee, J. and Mahadevappa, M.  Development of cardiac prescreening device for rural population using ultralow-power embedded system. IEEE Transactions On Bio-medical Engineering. 2011.  58, 745-749. [PubMed]
16. Muthu, R., Pal, M., Paul, R. R., Chakraborty, C., Chatterjee, J. and Ray, A. K.  Computer Vision Approach to Morphometric Feature Analysis of Basal Cell Nuclei for Evaluating Malignant Potentiality of Oral Submucous Fibrosis. Journal of Medical Systems. 2010.  [PubMed]
17. Das, R. K., Pal, M., Barui, A., Paul, R. R., Chakraborty, C., Ray, A. K., Sengupta, S. and Chatterjee, J.  Assessment of malignant potential of oral submucous fibrosis through evaluation of p63, E-cadherin and CD105 expression. Journal of Clinical Pathology. 2010.  63, 894-899. [PubMed]
18. Muthu, R., Shah, P., Pal, M., Chakraborty, C., Paul, R. R., Chatterjee, J. and Ray, A. K.  Structural markers for normal oral mucosa and oral sub-mucous fibrosis. Micron. 2010.  41, 312-320. [PubMed]
19. Muthu, R., Pal, M., Bomminayuni, S. K., Chakraborty, C., Paul, R. R., Chatterjee, J. and Ray, A. K.  Automated classification of cells in sub-epithelial connective tissue of oral sub-mucous fibrosis-an SVM based approach. Computers in Biology and Medicine. 2009.  39, 1096-1104. [PubMed]
20. Ray, T., Reddy, D. S., Mukherjee, A., Chatterjee, J., Paul, R. R. and Dutta, P. K.  Detection of constituent layers of histological oral sub-mucous fibrosis: images using the hybrid segmentation algorithm. Oral Oncology. 2008.  44, 1167-1171. [PubMed]

 

 
Grant Support:
Project Title Role Funding Agency Sanction Number Sanction Date
Structural & Molecular Characterization of Cutaneous Cells Behavior under Varied Physico-chemical Ambience towards Improving Skin Tissue Engg. (CCB) Principal Investigator Department of Science & Technology, Government of India
DST FIST for SMST (FST) Co-PI Department of Science & Technology, Government of India
Multi-modal and multi-scale imaging for early diagnosis and interventional management of oral pre-cancers and (IAN) Principal Investigator Ministry of Human Resources and Development, Government of India
Integrated Application of Multimodal Optical Coherence Tomography and Multispectral Imaging for -- Skin Towards in vivo histology (SGIRG) (CIT) Principal Investigator
Integrated Application Multimodal OCT & Multi-spectral imaging for Spatio----Skin Towards in vivo histology (CTT) Principal Investigator Department of Biotechnology, Government of India
Structural & Molecular Characterization of Cutaneous Cells Behavior under Varied Physico-chemical Ambience towards Improving Skin Tissue Engg. (CCB) Principal Investigator
Non-invasve characterization of healing and non-healing wounds & dev. of honey-biomet. & stem-cell based wound therapy (NIC) Principal Investigator Ministry of Human Resources and Development, Government of India

 
 
 
Education 
::
Ph.D.
Honors and Awards
::
Reviewer : PloS One
::
Reviewer : Material Science and Engineering C
Member
::
Chairman : Institutional Ethics Committee (IEC)
::
Vice-President (Selected) : IIndian Association of Cancer Research-WB Chapter
::
Project Reviewer : DST,Govt of India
::
Member : IEEE
  Last modified on : Dec 10, 2015
India Cancer Research Database has been developed by the Institute of Bioinformatics with funding from the Department of Biotechnology, Government of India.