World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
3814
World Ranking
13245
National Ranking
152

Overview

Nibaran Das is affiliated with Jadavpur University in India and has contributed extensively to the field of computer science, with a focus on computer vision and pattern recognition. Their research spans several subfields, including artificial intelligence, radiology, nuclear medicine and imaging, media technology, and signal processing.

The scientist's recent publications cover diverse topics related to image analysis, machine learning, and pattern recognition. Selected papers from recent years include:

  • "Cervical Cytology Classification Using PCA and GWO Enhanced Deep Features Selection" (2021), published in SN Computer Science
  • "Cytology Image Analysis Techniques Toward Automation" (2021), published in ACM Computing Surveys
  • "Weber local descriptor for image analysis and recognition: a survey" (2020), published in The Visual Computer
  • "Deep Learning for Word-Level Handwritten Indic Script Identification" (2021), published in Communications in computer and information science
  • "LWSINet: A deep learning-based approach towards video script identification" (2021), published in Multimedia Tools and Applications

Frequent co-authors collaborating with Nibaran Das include:

  • Mita Nasipuri
  • Swarnendu Ghosh
  • Shyamali Mitra
  • Soumyajyoti Dey
  • Sukanta Chakraborty

The scientist has a strong publication record in several venues, notably:

  • arXiv (Cornell University)
  • Multimedia Tools and Applications
  • Communications in computer and information science
  • SN Computer Science
  • International Journal of Speech Technology

Key research topics pursued by Nibaran Das focus on applied artificial intelligence in medical and imaging domains. Major topics covered include:

  • AI in cancer detection
  • Handwritten text recognition techniques
  • Digital imaging for blood diseases
  • Digital media forensic detection
  • Advanced neural network applications
  • Radiomics and machine learning in medical imaging
  • COVID-19 diagnosis using AI

This body of work reflects a broad engagement with both theoretical and practical aspects of computer vision and AI, often targeting applications in healthcare diagnostics and multimedia technology.

Best Publications

  • Understanding Deep Learning Techniques for Image Segmentation

    Swarnendu Ghosh;Nibaran Das;Ishita Das;Ujjwal Maulik

  • A genetic algorithm based region sampling for selection of local features in handwritten digit recognition application

    Nibaran Das;Ram Sarkar;Subhadip Basu;Mahantapas Kundu

  • CMATERdb1: a database of unconstrained handwritten Bangla and Bangla–English mixed script document image

    Ram Sarkar;Nibaran Das;Subhadip Basu;Mahantapas Kundu

  • A statistical-topological feature combination for recognition of handwritten numerals

    Nibaran Das;Jagan Mohan Reddy;Ram Sarkar;Subhadip Basu

  • A hierarchical approach to recognition of handwritten Bangla characters

    Subhadip Basu;Nibaran Das;Ram Sarkar;Mahantapas Kundu

  • Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach

    Saikat Roy;Nibaran Das;Mahantapas Kundu;Mita Nasipuri

  • A multi-objective approach towards cost effective isolated handwritten Bangla character and digit recognition

    Ritesh Sarkhel;Nibaran Das;Amit K. Saha;Mita Nasipuri

  • Handwritten Bangla Basic and Compound character recognition using MLP and SVM classifier

    Nibaran Das;Bindaban Das;Ram Sarkar;Subhadip Basu

  • Cervical Cytology Classification Using PCA and GWO Enhanced Deep Features Selection

    Hritam Basak;Rohit Kundu;Sukanta Chakraborty;Nibaran Das

  • PHDIndic_11: page-level handwritten document image dataset of 11 official Indic scripts for script identification

    Sk Md Obaidullah;Chayan Halder;K. C. Santosh;Nibaran Das

  • A benchmark image database of isolated Bangla handwritten compound characters

    Nibaran Das;Kallol Acharya;Ram Sarkar;Subhadip Basu

  • A novel framework for automatic sorting of postal documents with multi-script address blocks

    Subhadip Basu;Nibaran Das;Ram Sarkar;Mahantapas Kundu

  • A multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts

    Ritesh Sarkhel;Nibaran Das;Aritra Das;Mahantapas Kundu

  • The journey of graph kernels through two decades

    Swarnendu Ghosh;Nibaran Das;Teresa Gonçalves;Paulo Quaresma

  • Handwritten Bangla character recognition using a soft computing paradigm embedded in two pass approach

    Nibaran Das;Ram Sarkar;Subhadip Basu;Punam Kumar Saha

  • Handwritten Bangla Alphabet Recognition using an MLP Based Classifier

    Subhadip Basu;Nibaran Das;Ram Sarkar;Mahantapas Kundu

  • Handwritten bangla digit recognition using classifier combination through DS technique

    Subhadip Basu;Ram Sarkar;Nibaran Das;Mahantapas Kundu

  • DevNet: An Efficient CNN Architecture for Handwritten Devanagari Character Recognition

    Riya Guha;Nibaran Das;Mahantapas Kundu;Mita Nasipuri

  • Reshaping inputs for convolutional neural network: Some common and uncommon methods

    Swarnendu Ghosh;Nibaran Das;Mita Nasipuri

  • An Improved Feature Descriptor for Recognition of Handwritten Bangla Alphabet

    Nibaran Das;Subhadip Basu;Ram Sarkar;Mahantapas Kundu

  • Understanding Deep Learning Techniques for Image Segmentation

    Swarnendu Ghosh;Nibaran Das;Ishita Das;Ujjwal Maulik

Frequent Co-Authors

Mita Nasipuri
Mita Nasipuri Jadavpur University
Ram Sarkar
Ram Sarkar Jadavpur University
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Punam K. Saha
Punam K. Saha University of Iowa
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Ujjwal Maulik
Ujjwal Maulik Jadavpur University
Bijaya Ketan Panigrahi
Bijaya Ketan Panigrahi Indian Institute of Technology Delhi

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