National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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Faculty Profile

ORCID ID
Scopus ID
Researcher ID
Google Scholar ID

EXPERTISE INFORMATION

Research Group
  • Intelligent Computing and Computer Vision
Areas of Interest
  • Computer Vision
  • Machine Learning
  • Deep Learning

Ratnakar Dash Associate Professor, Computer Science and Engineering

ratnakar@nitrkl.ac.in

0661 - 246 2365

Biosketch

89

PUBLICATIONS

4

SPONSORED PROJECTS

21

DOCTORAL STUDENTS

14

CONTINUING EDUCATION

PERSONAL INFORMATION

Ratnakar Dash

Associate Professor

Computer Science and Engineering

Room Number: CS-236

Department of Computer Science and Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008

Ph.D (NIT Rourkela)

Generative AI driven model for Prediction and Early Diagnosis of Cancers using multimodal data integration emphasizing the Epigenomic data garnered from Breast tissues (healthy, apparently healthy and tumor) Anusandhan National Research Foundation (ANRF), Science & Engineering Research Board (SERB)
  • Co-Investigator
  • 36
  • Running   Sponsored
Smart Exoskeletons in Healthcare: Principle and Practices for Developing Scalable Exosuits for Rural Applications Scheme for Promotion of Academic and Research Collaboration (SPARC)
  • Co-Investigator
  • 24
  • Running   Sponsored
Abnormal activity detection in surveillance video using advance machine learning technique. DST
  • Co-Investigator
  • 36
  • Completed   Sponsored
Early detection of breast cancer using deep learning based multimodal image analysis. ICMR
  • Principal Investigator
  • 36
  • Completed   Sponsored

33
GOOGLE SCHOLAR H-INDEX 64
GOOGLE SCHOLAR I10-INDEX 26
SCOPUS H-INDEX
Total Publications: 89
View All Publications

R. P. Singh, R. Dash, and R. K. Mohapatra,"Unveiling explainability in face anti-spoofing: hybrid feature extraction with xai-guided feature aggregation", Pattern Recognition, vol.169, pp.111905, Elsevier 2026, 10.1016/j.patcog.2025.111905       Article

S. Gorli and R. Dash,"EGCF-net edge-aware graph-based attention network with enhanced contextual features for medical image segmentation", International Journal of Imaging Systems and Technology, vol.36, no.1, Wiley, January 2026, https://doi.org/10.1002/ima.70276       Article

R. P. Singh, R. Dash, and R. K. Mohapatra,"DSMIKervNet: dual stream multi-kernel integration kervolutional neural network for face spoof detection", International Journal of Parallel, Emergent and Distributed Systems, pp.1-26, Taylor and Fancis, January 2026, https://doi.org/10.1080/17445760.2026.2613260       Article

D. Deb, R. Dash, and D. P. Mohapatra,"MMHBC-Net: a multi-modal hybrid approach for breast cancer classification", Neural Computing and Applications, vol.37, pp.15469–15499, Springer 2025, 10.1007/s00521-025-11291-6       Article

D. Deb, R. Dash, and D. P. Mohapatra,"Customized convolutional neural network with explainable AI for multimodal breast cancer detection", Sadhana, vol.50, no.130, Springer, June 2025, 10.1007/s12046-025-02795-x       Article

Problem-Driven AI: Real-World Applications and Solution Frameworks Computer Science and Engineering (Workshop)
Fourth International Conference on Computing, Communication and Learning (COCOLE) Computer Science and Engineering (Conference)
Deep Learning: Fundamentals and Implementation Computer Science and Engineering (Short-term Course)
Advancing Medical Applications with Generative AI: Challenges and Prospects (AMAGA-2025) Computer Science and Engineering (Workshop)
National Workshop on ARTIFICIAL INTELLIGENCE & MACHINE LEARNING: Theory & Hands-on Practice (AIML- 2024) Computer Science and Engineering (Workshop)
  • Co-Coordinator
  • 24 Jun 2024 - 28 Jun 2024
  • Brochure
Three Days Workshop on Artificial Intelligence in Robotics Applications Computer Science and Engineering (Workshop)
Short Term Course on MACHINE LEARNING & ITS APPLICATIONS (ML- APP 2024) Computer Science and Engineering (Short-term Course)
Skill Development Programme on ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AIML- 2023) Computer Science and Engineering (Short-term Course)
  • Co-Coordinator
  • 09 Oct 2023 - 14 Oct 2023
  • Brochure
Artificial Intelligence and Robotics Computer Science and Engineering (Short-term Course)
  • Co-Coordinator
  • 01 Jun 2023 - 30 Jul 2023
  • Brochure
Artificial Intelligence based real-time Gesture Recognition system for control of smart electronic equipments Computer Science and Engineering (Short-term Course)
G20 Jan Bhagidari Workshop on AI and Robotics Computer Science and Engineering (Workshop)
Data Science and Predictive Analytics for Industry 4.0 Electronics and Communication Engineering (Short-term Course)
  • Co-Coordinator
  • 27 Sep 2022 - 01 Oct 2022
  • Brochure
GIAN course on Artificial Intelligence for MR Brain Image Processing Computer Science and Engineering (Short-term Course)
  • Co-Coordinator
  • 09 Oct 2017 - 18 Oct 2017
  • Brochure
10th NATIONAL WORKSHOP ON RECENT TRENDS IN SOFTWARE TESTING (RTST - 2017) Computer Science and Engineering (Workshop)
  • Co-Coordinator
  • 21 Jul 2017 - 23 Jul 2017
  • Brochure

  • Analog Electronics {Theory}
  • Computer Networks {Theory}
  • Computer Organization and Architecture {Theory}
  • Computer Vision {Theory}
  • Data Communication {Theory}
  • Digital Logic Design {Theory}
  • Digital Signal Processing {Theory}
  • Digital System Design {Theory}
  • Image Processing {Theory}
  • Machine Learning {Theory}
  • Machine Learning : Theory and Practice {Theory}
  • Microprocessors and Microcontrollers {Theory}
  • Optimization Techniques {Theory}
  • Pattern Recognition {Theory}
  • Soft Computing {Theory}
  • AI and ML Laboratory {Practical}
  • Computer Network Laboratory {Practical}
  • Computer Organization Laboratory {Practical}
  • Computer Vision Laboratory {Practical}
  • Computing Laboratory - I {Practical}
  • Computing Laboratory - II {Practical}
  • Data Comm and Computer Networks Laboratory {Practical}
  • Data Communication Laboratory {Practical}
  • Digital Electronics Laboratory {Practical}
  • Digital Signal Processing Laboratory {Practical}
  • Digital System Design Laboratory {Practical}
  • Image Processing Laboratory {Practical}
  • Machine Learning Laboratory {Practical}
  • Microprocessor Laboratory {Practical}
  • Soft Computing Laboratory {Practical}
  • Software Laboratory using MATLAB {Practical}
  • Software Laboratory using VHDL/VERILOG {Practical}
  • Special Laboratory in Computer Science & Engineering {Practical}

Ph.D. Students [17]
Development of Intelligent Diagnostic Systems for Breast Cancer Classification Using Machine Learning Techniques
Dipti Deb
Enrolled: Feb 2022
Graduated :  May 2026
Supervisor
Dual Stream Deep Learning Architectures for Enhanced Face Anti-Spoofing in Biometric Systems
Ravi Pratap Singh
Enrolled: Jul 2019
Graduated :  Dec 2025
Supervisor
On the Development of Hybrid Deep Learning Techniques for Diabetic Retinopathy Grading
K Ashwini
Enrolled: Jul 2019
Graduated :  Aug 2025
Supervisor
Development of Feature Extraction and Classification Models for Skin Lesion Analysis
Sandhya Rani Sahoo
Enrolled: Jul 2018
Graduated :  Aug 2025
Supervisor
Robust Hand Gesture Recognition System for Real-time Multimedia Applications
Abir Sen
Enrolled: Jul 2018
Graduated :  May 2024
Co-Supervisor
On the Development of Improved Mammogram Detection System using Machine Learning Approaches
Debendra Muduli
Enrolled: Jul 2017
Graduated :  May 2022
Supervisor
On The Development of Indian TSR Systems using Machine Learning Techniques
Banhi Sanyal
Enrolled: Jul 2017
Graduated :  Sep 2022
Co-Supervisor
Learning Centric Feature Extraction and Classification Models for OCR
Dibyasundar Das
Enrolled: Jan 2015
Graduated :  Aug 2021
Supervisor
Scalability and Security of the Control Plane in Software Defined Networks
Kshira Sagar Sahoo
Enrolled: Jan 2015
Graduated :  Feb 2019
Co-Supervisor
Towards Designing Improved Pathological Brain Detection System using Machine Learning Approaches
Deepak Ranjan Nayak
Enrolled: Jul 2014
Graduated :  May 2019
Supervisor
Development of Features and Feature Reduction Techniques for Mammogram Classification
Shradhananda Beura
Enrolled: Oct 2012
Graduated :  Jun 2016
Co-Supervisor
Computer Vision
Dibyendu Biswas
Enrolled: Jul 2025
Continuing
Supervisor
Medical Image Processing
Santoshi Gorli
Enrolled: Feb 2022
Continuing
Supervisor
Cognitive Science and Machine Learning
Monalisha Mahapatra
Enrolled: Aug 2021
Continuing
Co-Supervisor
Computer Vision and Machine learning
Vikas Bhatt
Enrolled: Aug 2021
Continuing
Supervisor
Digital Image Processing
Romeo Kumar Sahu
Enrolled: Jan 2021
Continuing
Co-Supervisor
MACHINE LEARNING
Nikita Baidya
Enrolled: Jul 2018
Continuing
Co-Supervisor
Executive Ph.D. Students [4]
AI and ML (including Deep Learning, NLP, AI for Digital Healthcare)
Asutosh Sarangi
Enrolled: Jul 2025
Continuing
Supervisor
IoMT (Internet of Medical Things) Next-Gen Clinical Intelligence (CI) Using AI
Ram Narayan Dash
Enrolled: Oct 2020
Continuing
Co-Supervisor
Data Analytics with Machine Learning Techniques for IT Enabled Services
Shekharesh Barik
Enrolled: Sep 2020
Continuing
Co-Supervisor
Data Analytics
Prasanta Kumar Nayak
Enrolled: Sep 2020
Continuing
Supervisor
M.Tech by Research Students [1]
Weakly-supervised Anomaly Detection and Classification in Untrimmed Surveillance Videos
Snehashis Majhi
Thesis Submitted
Supervisor

Memberships / Fellowships
  • IE,