Rajib Kumar Chatterjee
VIDWAN ID: 49561

Dr Rajib Kumar Chatterjee

Male Doctor of Philosophy
Assistant Professor | Department of Computer Science and Engineering
National Institute of Technology, Durgapur
West Bengal
Expertise: Computer Science Software Engineering
8 Publications
0 Projects
38 Scopus Citations
30 CrossRef
25 Years 4 Months Total Experience
Publications
8 Total
Articles
2
Proceedings
6
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Scopus Scopus
38 Citations
2 h-index
CrossRef CrossRef
30 Citations
1 h-index
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Personal Details

Doctor of Philosophy
2008
SKU College
Assistant Professor
May 2001 – Present
National Institute of Technology, Durgapur | Department of Computer Science and Engineering
Engineering and Technology
Computer Science Software Engineering

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Scholarly Work

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Scholarly Publications

Graph semantic based approach for quering semi-structured database system

Conference Paper
Year: 2013. Pages: 79-84 .

Modeling of multi agent system: From analysis to design

Journal Article
Year: 2016. Volume: 10 , Issue: 12 , Pages: 149-168 .
Authors: Rajib Kumar Chatterjee; Mangilal Sharma; Anirban Sarkar

Analysis of Multi Agent Systems: A formal approach

Conference Paper
Year: 2015. Volume: 2015-January .
Authors: Rajib Kumar Chatterjee; Anirban Sarkar

Deep Quasi-Recurrent Self-Attention With Dual Encoder-Decoder in Biomedical CT Image Segmentation

Journal Article
IEEE Journal of Biomedical and Health Informatics. Year: 2024. Volume: 28 , Issue: 12 , Pages: 7195-7205 .
Authors: Rohit Agarwal; Arindam Chowdhury; Rajib Kumar Chatterjee; Haradhan Chel; Chiranjib Murmu; Narayan Murmu; Debashis Nandi

Constraint specification in Multi Agent System

Conference Paper
Year: 2017. Pages: 2404-2409 .
Authors: Mangilal Sharma; Mauajama Firdaus; Rajib Kumar Chatterjee; Anirban Sarkar

Anatomically Plausible Generative Data Augmentation for Liver Tumor Segmentation

Conference Paper
Year: 2026. Volume: 1760 LNNS , Pages: 465-477 .
Authors: Rohit Agarwal; Rajib Kumar Chatterjee; Palash Ghosal; Narayan Murmu; Debashis Nandi

Automated RECIST 1.1 Classification in HCC-TACE Patients Using Deep Learning and 26-Connectivity

Conference Paper
Year: 2026. Volume: 16420 LNCS , Pages: 452-464 .
Authors: Rohit Agarwal; Sayoni Bhattacharyya; Rajib Kumar Chatterjee; Anup Kumar Sadhu; Narayan Murmu; Debashis Nandi

UKANETR: A Kansformer-Based Interpretable UNET for Brain Tumor Segmentation

Conference Paper
Year: 2026. Volume: 16420 LNCS , Pages: 220-234 .
Authors: Rajib Kumar Chatterjee; Abhay Kumar Tiwari; Sayoni Bhattacharyya; Rohit Agarwal; Anup Kumar Sadhu; Debashis Nandi