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

87

PUBLICATIONS

3

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)

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

27
GOOGLE SCHOLAR H-INDEX 48
GOOGLE SCHOLAR I10-INDEX 19
SCOPUS H-INDEX
Total Publications: 87
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

  • CS2001 : Digital System Design {Theory}
  • CS2002 : Computer Organization and Architecture {Theory}
  • CS241 : Analog Electronics {Theory}
  • CS315 : Optimization Techniques {Theory}
  • CS321 : Data Communication {Theory}
  • CS3305 : Digital Signal Processing {Theory}
  • CS336 : Digital Signal Processing {Theory}
  • CS341 : Microprocessors and Microcontrollers {Theory}
  • CS343 : Digital Logic Design {Theory}
  • CS421 : Computer Networks {Theory}
  • CS434 : Image Processing {Theory}
  • CS437 : Soft Computing {Theory}
  • CS6214 : Image Processing {Theory}
  • CS6218 : Machine Learning {Theory}
  • CS6224 : Machine Learning : Theory and Practice {Theory}
  • CS636 : Image Processing {Theory}
  • CS638 : Pattern Recognition {Theory}
  • CS708 : Machine Learning {Theory}
  • CS171 : Computing Laboratory - I {Practical}
  • CS172 : Computing Laboratory - II {Practical}
  • CS2073 : Digital System Design Laboratory {Practical}
  • CS2074 : Computer Organization Laboratory {Practical}
  • CS2672 : AI and ML Laboratory {Practical}
  • CS273 : Digital Electronics Laboratory {Practical}
  • CS3072 : Data Comm and Computer Networks Laboratory {Practical}
  • CS371 : Data Communication Laboratory {Practical}
  • CS373 : Microprocessor Laboratory {Practical}
  • CS376 : Digital Signal Processing Laboratory {Practical}
  • CS471 : Computer Network Laboratory {Practical}
  • CS474 : Image Processing Laboratory {Practical}
  • CS6272 : Machine Learning Laboratory {Practical}
  • CS6475 : Soft Computing Laboratory {Practical}
  • CS673 : Image Processing Laboratory {Practical}
  • CS683 : Special Laboratory in Computer Science & Engineering {Practical}
  • CS697 : Software Laboratory using MATLAB {Practical}
  • CS698 : Software Laboratory using VHDL/VERILOG {Practical}
  • CS776 : Machine Learning Laboratory {Practical}

Ph.D. Students [17]
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
Development of Intelligent Diagnostic Systems for Breast Cancer Classification Using Machine Learning Techniques.
Dipti Deb
Enrolled: Feb 2022
Thesis Submitted
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,