National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

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 & HOU (Center for TEL)

Computer Science and Engineering

ratnakar@nitrkl.ac.in

0661 - 246 2365

Biosketch

81

PUBLICATIONS

2

SPONSORED PROJECTS

19

DOCTORAL STUDENTS

9

CONTINUING EDUCATION

PERSONAL INFORMATION

Ratnakar Dash

Associate Professor

Computer Science and Engineering

Room Number: CS-102

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

Ph.D (NIT Rourkela)

Abnormal activity detection in surveillance video using advance machine learning technique. DST
  • Co-Investigator
  • 36
  • Running   Sponsored
Early detection of breast cancer using deep learning based multimodal image analysis. ICMR
  • Principal Investigator
  • 36
  • Running   Sponsored

27
GOOGLE SCHOLAR H-INDEX 48
GOOGLE SCHOLAR I10-INDEX 19
SCOPUS H-INDEX
Total Publications: 81
View All Publications

D. Mishra, B. Majhi, P. K. Sa, and R. Dash,"Development of robust neighbor embedding based super-resolution scheme", Neurocomputing, vol.202, pp.49-66, Elsevier, August 2016, 10.1016/j.neucom.2016.04.013       Article

T. Mishra, B. Majhi, and R. Dash,"Shape descriptors-based generalised scheme for handwritten character recognition", International Journal of Computational Vision and Robotics, vol.6, no.1-2, pp.168-179, Inderscience, June 2016, 10.1504/IJCVR.2016.073765       Article

D. Nayak, R. Dash, and B. Majhi,"Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests", Neurocomputing, vol.177, pp.188-197, Elsevier, February 2016, 10.1016/j.neucom.2015.11.034       Article

S. Beura, B. Majhi, and R. Dash,"Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer", Neurocomputing, vol.154, pp.1-14, Elsevier, April 2015, 10.1016/j.neucom.2014.12.032       Article

R. Dash, P. K. Sa, and B. Majhi,"Particle swarm optimization based support vector regression for blind image restoration", Journal of Computer Science and Technology, vol.27, no.5, pp.989-995, Springer, September 2012, 10.1007/s11390-012-1279-z       Article

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
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}
  • 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}
  • 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 [16]
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
Development of Features and Feature Reduction Techniques for Mammogram Classification
Shradhananda Beura
Enrolled: Oct 2012
Graduated :  Jun 2016
Co-Supervisor
Towards Designing Improved Pathological Brain Detection System using Machine Learning Approaches
Deepak Ranjan Nayak
Enrolled: Jul 2014
Graduated :  May 2019
Supervisor
On the Development of Improved Mammogram Detection System using Machine Learning Approaches
Debendra Muduli
Enrolled: Jul 2017
Graduated :  May 2022
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 Indian TSR Systems using Machine Learning Techniques
Banhi Sanyal
Enrolled: Jul 2017
Graduated :  Sep 2022
Co-Supervisor
MACHINE LEARNING
Nikita Baidya
Enrolled: Jul 2018
Continuing
Co-Supervisor
Development of Feature Extraction and Classification Models for Skin Lesion Analysis
Sandhya Rani Sahoo
Enrolled: Jul 2018
Continuing
Supervisor
Computer Vision
K Ashwini
Enrolled: Jul 2019
Continuing
Supervisor
Facial anti-spoofing
Ravi Pratap Singh
Enrolled: Jul 2019
Continuing
Supervisor
Digital Image Processing
Romeo Kumar Sahu
Enrolled: Jan 2021
Continuing
Co-Supervisor
Computer Vision and Machine learning
Vikas Bhatt
Enrolled: Aug 2021
Continuing
Supervisor
Cognitive Science and Machine Learning
Monalisha Mahapatra
Enrolled: Aug 2021
Continuing
Co-Supervisor
Early detection of breast cancer using deep learning based multimodal image analysis
Dipti Deb
Enrolled: Feb 2022
Continuing
Supervisor
Medical Image Processing
Santoshi Gorli
Enrolled: Feb 2022
Continuing
Supervisor
Executive Ph.D. Students [3]
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
IoMT (Internet of Medical Things) Next-Gen Clinical Intelligence (CI) Using AI
Ram Narayan Dash
Enrolled: Oct 2020
Continuing
Co-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,