Ratnakar Dash

Assistant Professor Grade-I

Computer Science and Engineering

 (+91) 661 246 2365

 ratnakar[at]nitrkl.ac.in

 Biosketch

67

Publications       

1

Sponsored Projects

0

Consultancy Projects

15

Doctoral Students

3

Continuing Education

25

PG Dissertation

 Personal Information

Prof. Ratnakar Dash

Assistant Professor Grade-I

Computer Science and Engineering

Joined in Jul 2011

 Room Number: CS-102

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

 Education Qualification

  1. Ph.D (NIT Rourkela)

 Experience

No Experience Found....

 Expertise Information

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

 Projects

Early detection of breast cancer using deep learning based multimodal image analysis.

 ICMR

 Principal Investigator

 36 months

 Running

Sponsored

 Continuing Education

Data Science and Predictive Analytics for Industry 4.0

 Electronics and Communication Engineering

 Coordinator

 27 Sep 2022 - 01 Oct 2022

Short-term Course

GIAN course on Artificial Intelligence for MR Brain Image Processing

 Computer Science and Engineering

 Coordinator

 09 Oct 2017 - 18 Oct 2017

Short-term Course

10th NATIONAL WORKSHOP ON RECENT TRENDS IN SOFTWARE TESTING (RTST - 2017)

 Computer Science and Engineering

 Coordinator

 21 Jul 2017 - 23 Jul 2017

Workshop

 Publications

23

Google Scholar h-index

41

Google Scholar i10-index

19

Scopus h-index

Total Publications: 67
P. K. Ladi, Mg. Kakita, R. Dash, and S. K. Ladi, "SWTNet: hyperspectral image classification using two-stage combined shallow and deep feature extraction", Neural Computing and Applications, Springer, June 2022, https://doi.org/10.1007/s00521-022-07440-w Article
A. Sen, T. K. Mishra, and R. Dash, "A novel hand gesture detection and recognition system based on ensemble-based convolutional neural network", Multimedia Tools and Applications, Springer, May 2022, 10.1007/s11042-022-11909-0 Article
D. Muduli, R. Dash, and B. Majhi, "Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach", Biomedical Signal Processing and Control, vol.71, Elsevier, January 2022, https://doi.org/10.1016/j.bspc.2021.102825 Article
S. K. Ladi, G. K. Panda, R. Dash, P. K. Ladi, and R. Dhupar, "A Novel Grey Wolf Optimisation based CNN Classifier for Hyperspectral Image classification", Multimedia Tools and Application, Springer 2022, https://doi.org/10.1007/s11042-022-12628-2 Article
B. Sanyal, R. K. Mohapatra, and R. Dash, "Traffic sign recognition on Indian database using wavelet descriptors and convolutional neural network ensemble", concurrency and computation: practice and experience, vol.34, no.10, pp.e6827, Wiley Online Library 2022, https://doi.org/10.1002/cpe.6827 Article

Show All Publications(+)

S. and R. Dash, "Ensemble of multiple CNN classifiers for HSI classification with Superpixel Smoothing", Computers & Geosciences, vol.154, no.104806, pp.1-12, Elsevier, May 2021, 10.1016/j.cageo.2021.104806 Article
P. Sikakollu and R. Dash, "Ensemble of multiple cnn classifiers for hsi classification with superpixel smoothing", Computers & Geosciences, vol.154, pp.104806, Elsevier 2021, https://doi.org/10.1016/j.cageo.2021.104806 Article
D. Muduli, R. Dash, and B. Majhi, "fast discrete curvelet transform and modified pso based improved evolutionary extreme learning machine for breast cancer detection", biomedical signal processing and control, vol.70, pp.102919, Elsevier 2021, https://doi.org/10.1016/j.bspc.2021.102919 Article
S. Majhi, R. Dash, and P. K. Sa, "Weakly-supervised joint anomaly detection and classification", in International Conference on Automatic Face and Gesture Recognition, IEEE, fg-2021, Jodhpur, India 2021, 10.1109/FG52635.2021.9667006 Inproceedings
B. Sanyal, R. K. Mohapatra, and R. Dash, "Real-time embedded TSR using MDEffNet: An efficient compact DNN on varied multi-resolution images across multiple databases", International Journal of Wavelets, Multiresolution and Information, World Sientific, December 2020, https://doi.org/10.1142/S0219691320500824 Article
D. Das, D. R. Nayak, R. Dash, and B. Majhi, "MJCN: Multi-objective Jaya Convolutional Network for handwritten optical character recognition", Multimedia Tools and Application, vol.79, pp.33023–33042, Springer, August 2020 Article
D. Muduli, R. Dash, and B. Majhi, "Automated Breast Cancer Detection in Digital Mammograms: A Moth Flame Optimization based ELM Approach", Biomedical Signal Processing and Control, vol.59, Elsevier, May 2020, https://doi.org/10.1016/j.bspc.2020.101912 Article
D. R. Nayak, R. Dash, B. Majhi, Ram. B. Pachori, and . Yudongzhang, "A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer", Biomedical Signal Processing and Control, vol.58, Elsevier, April 2020, https://doi.org/10.1016/j.bspc.2020.101860 Article
D. Das, D. R. Nayak, R. Dash, B. Majhi, and . Yu, "H-WordNet: a holistic convolutional neural network approach for handwritten word recognition", IET Image Processing, IET Digital Library, March 2020, 10.1049/iet-ipr.2019.1398 Article
D. R. Kalpana and R. Dash, "Distracted driver detection using stacking ensemble", in 2020 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), pp.1-5, IEEE, February 2020, 10.1109/SCEECS48394.2020.184 Inproceedings
B. Sanyal, R. K. Mohapatra, and R. Dash, "Fully Annotated Indian Traffic Signs Database for Recognition", in Soft Computing: Theories and Applications, pp.695-703, Springer, January 2020, 10.1007/978-981-15-4032-5_63 Inproceedings
D. R. Nayak, R. Dash, and B. Majhi, "Automated Diagnosis of Multi-class Brain Abnormalities using MRI Images: A Deep Convolutional Neural Network based Method", Pattern Recognition Letters, Elsevier 2020, https://doi.org/10.1016/j.patrec.2020.04.018 Article
S. Majhi, R. Dash, and P. K. Sa, "Temporal Pooling in Inflated 3DCNN for Weakly-supervised Video Anomaly Detection", in International Conference on Computing, Communication and Networking Technologies, IEEE, icccnt-2020, Kharagpur, India 2020, 10.1109/icccnt49239.2020.9225378 Inproceedings
R. Dash, B. Sanyal, and R. K. Mohapatra, "Traffic sign recognition: a survey", in 2020 international conference on artificial intelligence and signal processing (aisp), pp.1-6, IEEE 2020, 10.1109/aisp48273.2020.9072976 Inproceedings
D. R. Nayak, R. Dash, B. Majhi, and U. R. Acharya, "Application of Fast Curvelet Tsallis Entropy and Kernel Random Vector Functional Link Network for Automated Detection of Multiclass Brain Abnormalities", Computerized Medical Imaging and Graphics, vol.77, Elsevier, October 2019, https://doi.org/10.1016/j.compmedimag.2019.101656 Article
P. K. Rath, N. Mahapatro, P. Nath, and R. Dash, "Autonomous chess playing robot", in 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp.1-6, IEEE, New Delhi, India, India, October 2019, 10.1109/RO-MAN46459.2019.8956389 Inproceedings
D. R. Nayak, R. Dash, B. Majhi, and Y. Zhang, "A Hybrid Regularized Extreme Learning Machine for Automated Detection of Pathological Brain", Biocybernetics and Biomedical Engineering, vol.39, no.3, pp.880-892, Elsevier, September 2019, https://doi.org/10.1016/j.bbe.2019.08.005 Article
K. S. Sahoo, S. K. Panda, S. Sahoo, B. Sahoo, and R. Dash, "Toward secure software-defined networks against distributed denial of service attack", The Journal of Supercomputing, Springer, August 2019, https://doi.org/10.1007/s11227-019-02767-z Article
P. Singh and R. Dash, "A two-step deep convolution neural network for road extraction from aerial images", in 2019 6th international Conference on Signal Processing and Integrated Networks (SPIN), pp.660-664, IEEE, Noida, India, India, March 2019, 10.1109/SPIN.2019.8711639 Inproceedings
S. Majhi, R. Dash, and P. K. Sa, "Two-stream CNN architecture for anomalous event detection in real world scenarios", in Computer Vision and Image Processing, vol.1148, pp.343-353, Springer, communications in computer and information science, March 2019, 10.1007/978-981-15-4018-9_31 Inproceedings
B. V. Deep and R. Dash, "Underwater fish species recognition using deep learning techniques", in 2019 6th international Conference on Signal Processing and Integrated Networks (SPIN), pp.665-669, IEEE, Noida, India, India, March 2019, 10.1109/SPIN.2019.8711657 Inproceedings
D. Das, D. R. Nayak, R. Dash, and B. Majhi, "An empirical evaluation of extreme learning machine: application to handwritten character recognition", Multimedia Tools and Applications, pp.1–29, Springer, February 2019, 10.1007/s11042-019-7330-0 Article
K. S. Sahoo, S. K. Panda, S. Sahoo, B. Sahoo, and R. Dash, "Toward secure software-defined networks against distributed denial of service attack", The Journal of Supercomputing, vol.75, no.8, pp.4829-4874, Springer, February 2019, 10.1007/s11227-019-02767-z Article
D. R. Nayak, D. Das, R. Dash, S. Majhi, and B. Majhi, "Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images", Multimedia Tools and Applications, pp.1-16, Springer 2019, 10.1007/s11042-019-7233-0 Article
K. S. Sahoo, D. Puthal, M. Tiwary, J. J. Rodrigues, B. Sahoo, and R. Dash, "An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics", Future Generation Computer Systems, vol.89, pp.685-697, Elsevier, December 2018, 10.1016/j.future.2018.07.017 Article
D. R. Nayak, R. Dash, X. Chang, B. Majhi, and S. Bakshi, "Automated diagnosis of pathological brain using fast curvelet entropy features", IEEE Transactions on Sustainable Computing, pp.1-12, IEEE, November 2018, 10.1109/TSUSC.2018.2883822 Article
D. R. Nayak, R. Dash, and B. Majhi, "Pathological brain detection using curvelet features and least squares SVM", Multimedia Tools and Applications, vol.77, no.3, pp.3833-3856, Springer, November 2018, 10.1007/s11042-016-4171-y Article
D. R. Nayak, R. Dash, Z. Lu, S. Lu, and B. Majhi, "SCA-RELM: A new regularized extreme learning machine based on sine cosine algorithm for automated detection of pathological brain", in 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp.764-769, IEEE, Nanjing, August 2018, 10.1109/ROMAN.2018.8525509 Inproceedings
S. Wang, D. R. Nayak, R. Dash, and B. Majhi, "Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain", Computers & Electrical Engineering, vol.68, pp.366-380, Elsevier, May 2018, 10.1016/j.compeleceng.2018.04.009 Article
K. S. Sahoo, M. Tiwari, B. Sahoo, R. Dash, and K. Naik, "DSSDN: Demand-supply based load balancing in Software-Defined Wide-Area Networks", International Journal of Network Management, vol.28, no.4, pp.1-25, John Wiley & Sons, May 2018, 10.1002/nem.2022 Article
D. R. Nayak, R. Dash, and B. Majhi, "Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection", Neurocomputing, vol.282, pp.232-247, Elsevier, March 2018, 10.1016/j.neucom.2017.12.030 Article
D. R. Nayak, R. Dash, and B. Majhi, "An improved pathological brain detection system based on two-dimensional PCA and evolutionary extreme learning machine", Journal of Medical Systems, vol.42, no.19, Springer, January 2018, 10.1007/s10916-017-0867-4 Article
D. R. Nayak, R. Dash, and B. Majhi, "Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform", Multimedia Tools and Applications, vol.77, no.17, pp.22705-22733, Springer 2018, 10.1007/s11042-017-5281-x Article
D. Das, R. Dash, and B. Majhi, "optimization based feature generation for handwritten odia-numeral recognition", in 2018 fourteenth international conference on information processing (icinpro), pp.1-5, IEEE 2018, 10.1109/ICINPRO43533.2018.9096757 Inproceedings
D. R. Nayak, R. Dash, B. Majhi, and V. Prasad, "Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach", Expert Systems with Applications, vol.88, pp.152-164, Elsevier, December 2017, 10.1016/j.eswa.2017.06.038 Article
D. R. Nayak, R. Dash, and B. Majhi, "Pathological brain detection using extreme learning machine trained with improved whale optimization algorithm", in Ninth International Conference on Advances in Pattern Recognition (ICAPR), IEEE, Bangalore, India, December 2017, 10.1109/ICAPR.2017.8593068 Inproceedings
D. R. Nayak, R. Dash, and B. Majhi, "An improved extreme learning machine for pathological brain detection", in 2017 IEEE Region 10 Conference (TENCON), pp.13-18, IEEE, Penang, Malaysia, November 2017, 10.1109/TENCON.2017.8227828 Inproceedings
K. S. Sahoo, B. Sahoo, R. Dash, and B. K. Mishra, "Improving resiliency in SDN using routing tree algorithms", International Journal of Knowledge Discovery in Bioinformatics, vol.7, no.1, pp.42-57, IGI Global, June 2017, 10.4018/IJKDB.2017010104 Article
K. S. Sahoo, B. Sahoo, R. Dash, and B. K. Mishra, "Improving resiliency in SDN using routing tree algorithms", International Journal of Knowledge Discovery in Bioinformatics (IJKDB), vol.7, no.1, pp.42-57, IGI Global 2017, 10.4018/IJKDB.2017010104 Article
D. R. Nayak, R. Dash, B. Majhi, and P. K. Sa, "Pathological Brain Detection Systems: A Review", CSI Communication, vol.40, no.6, pp.13-16, Computer Society Of India, September 2016 Article
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
D. R. Nayak, R. Dash, B. Majhi, and J. Mohammed, "Non-linear cellular automata based edge detector for optical character images", Simulation: Transactions of the Society for Modeling and Simulation International, vol.92, no.9, pp.849-859, SAGE Publication, August 2016, 10.1177/0037549716665156 Article
D. R. Nayak, R. Dash, and B. Majhi, "Classification of brain MR images using discrete wavelet transform and random forests", in 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), pp.1-4, IEEE, IIT, Patna, June 2016, 10.1109/NCVPRIPG.2015.7490068 Inproceedings
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
D. R. Nayak, R. Dash, and B. Majhi, "Least squares SVM approach for abnormal brain detection in MRI using multiresolution analysis", in IEEE International Conference on Computing, Communication and Security 2015, pp.1-6, IEEE, 2015 international conference on computing, communication and security (icccs), Mauritius, January 2016, 10.1109/CCCS.2015.7374140 Inproceedings
D. R. Nayak, R. Dash, and B. Majhi, "Stationary wavelet transform and AdaBoost with SVM based pathological brain detection in MRI scanning", CNS & Neurological Disorders - Drug Targets, vol.15, Bentham Science Publishers, December 2016, 10.2174/1871527315666161024142036 Article
D. R. Nayak, R. Dash, and B. Majhi, "Salt and pepper noise reduction schemes using cellular automata", in Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics, vol.44, pp.427-435, Springer, smart innovation, systems and technologies, September 2015, 10.1007/978-81-322-2529-4_45 Inproceedings
S. Beura, B. Majhi, R. Dash, and S. Roy, "Classification of mammogram using two-dimensional discrete orthonormal S-transform for breast cancer detection", Healthcare technology letters, vol.2, no.2, pp.46-51, IET, April 2015, 10.1049/htl.2014.0108 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
S. Beura, B. Majhi, and R. Dash, "Automatic characterization of mammograms using fractal texture analysis and fast correlation based filter method", in 2nd International Conference on Perception and Machine Intelligence: PerMIn 2015, pp.85-91, Association for Computing Machinery (ACM), Saha Institute of Nuclear Physics (SINP) Auditorium Kolkata, India, February 2015, 10.1145/2708463.2709058 Inproceedings
S. Swain, B. Majhi, R. Dash, and P. K. Sa, "Dots and incipient based fingerprint matching scheme using FMM and delaunay triangulation", in 2014 9th International Conference on Industrial and Information Systems (ICIIS), vol.1, pp.158-162, IEEE, Gwalior, India, December 2014, 10.1109/ICIINFS.2014.7036500 Inproceedings
S. Swain, B. Majhi, and R. Dash, "Extended feature extraction technique from fingerprint", in 2014 Annual IEEE India Conference (INDICON), pp.1-5, IEEE, indicon, (YASHADA) Raj Bhavan Complex Baner Road Pune, Maharashtra, December 2014, 10.1109/INDICON.2014.7030491 Inproceedings
Rig. Das, R. Dash, and B. Majhi, "Hyperspectral image classification based on quadratic fisher's discriminant analysis and multi-class support vector machine", IETE Journal of Research, vol.60, no.6, pp.406-413, Taylor and Fransis, October 2014, 10.1080/03772063.2014.962629 Article
T. K. Mishra, B. Majhi, and R. Dash, "A contour descriptors-based generalized scheme for handwritten Odia numerals recognition.", Journal of Information Processing System, Journal of Information Processing System, June 2014, 10.3745/JIPS.02.0012 Article
M. Agrawal and R. Dash, "Image super-resolution by interpolating high frequency sub-bands of image using surface fitting", in 2013 International Conference on Signal Processing and Communication (ICSC), pp.430-434, IEEE, Jaypee Institute of Information Technology,Noida,India, January 2014, 10.1109/ICSPCom.2013.6719828 Inproceedings
M. Agrawal and R. Dash, "Image resolution enhancement using lifting wavelet and stationary wavelet transform", in 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies (ICESC), pp.322-325, IEEE, Shri Ramdeobaba College of Engineering and Management,Nagpur, Maharashtra, December 2014, 10.1109/ICESC.2014.61 Inproceedings
R. Dash and B. Majhi, "Motion blur parameters estimation for image restoration", Optik - International Journal for Light and Electron Optics, vol.125, no.5, pp.1634-1640, Elsevier, December 2014, 10.1016/j.ijleo.2013.09.026 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
R. Dash, P. K. Sa, and B. Majhi, "Restoration of images corrupted with blur and impulse noise", in 2011 International Conference on Communication, Computing & Security (ICCCS), pp.377-382, ACM, Rourkela, Odisha, December 2011, 10.1145/1947940.1948019 Inproceedings
R. Dash, P. K. Sa, and B. Majhi, "Spatial variant motion deblurring of images", International Journal of Computational Vision and Robotics, vol.2, no.1, pp.80-88, Inderscience, December 2011, 10.1504/IJCVR.2011.039358 Article
S. Mohapatra, R. Dash, P. K. Sa, and B. Majhi, "Improved enhancement scheme using a RBFN detector for impulse noise", in 2008 First International Conference on Emerging Trends in Engineering and Technology, pp.86-89, IEEE, Nagpur, Maharashtra 2008, 10.1109/ICETET.2008.105 Inproceedings

 Courses Taught

  • 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}
  • 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}

 Research Scholars

Ph.D. Students [15]
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

Scalability And Security Of The Control Plane In Software Defined Networks

 Kshira Sagar Sahoo

Enrolled: Jan 2015

 Graduated : Feb 2019

 Co-Supervisor

Learning Centric Feature Extraction And Classification Models For Ocr

 Dibyasundar Das

Enrolled: Jan 2015

 Graduated : Aug 2021

 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

Theoretical Computer Science,Machine Learning

 Abir Sen

Enrolled: Jul 2018

 Continuing

 Co-Supervisor

Machine Learning

 Nikita Baidya

Enrolled: Jul 2018

 Continuing

 Co-Supervisor

Image Processing, Information Security

 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

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

 Continuing

 Co-Supervisor

Data Analytics

 Prasanta Kumar Nayak

 Continuing

 Supervisor

Iomt (Internet Of Medical Things) Next-Gen Clinical Intelligence (Ci) Using Ai

 Ram Narayan Dash

 Continuing

 Co-Supervisor

M.Tech by Research Students [1]
Weakly-Supervised Anomaly Detection And Classification In Untrimmed Surveillance Videos

 Snehashis Majhi

 Thesis Submitted

 Supervisor

 Dissertations

PG Dissertation
  • Shendre Kanchan Narayan (213CS2166), "Intrusion Detection using Honeypot and Support Vector Machine Classifier" - M.Tech.    Supervisor     2014-15 Spring
  • Soumyashree Seth (213CS1152), "An Image Processing Algorithm For Vehicle Detection And Counting" - M.Tech.    Supervisor     2014-15 Spring
  • Govind Yadav (214CS1160), "Feature Extraction and Feature Selection Techniques for Face Recognition" - M.Tech.    Supervisor     2015-16 Spring
  • Sai Chandra Sekhar Dandu (214CS1131), "Document Image Binarization using adaptive image contrast for degraded documents" - M.Tech.    Supervisor     2015-16 Spring
  • Utkal Sinha (214CS1130), "Design and implementation of a QoS supported gateway VNF for InfiniBand and Ethernet networks" - M.Tech.    Supervisor     2015-16 Spring
  • Bandaru Santosh Kumar (215CS1069), "Detection of Alzheimer’s disease using Voxel Based Morphometry" - M.Tech.    Supervisor     2016-17 Spring
  • Kallepalli Satish Kumar (215CS1071), "Improvement of Feature Extraction Scheme Based on Recursive Filter in HSI Classification" - M.Tech.    Supervisor     2016-17 Spring
  • Shyam Kishor Singh (215CS1075), "Brain Tumor Detection And Segmentaion In MR images Using Kernel SVM" - M.Tech.    Supervisor     2016-17 Spring
  • Sangle Priya Sangram (216CS4191), "Detection of Optic Disc Boundary in Fundus Image of Eye" - M.Tech.    Supervisor     2017-18 Spring
  • Subinita Panda (216CS2160), "A Robust Watermarking Scheme On Modified Particle Swarm Optimization Based Extreme Learning Machine" - M.Tech.    Supervisor     2017-18 Spring
  • Tapas Kumar Patra (216CS1144), "A DCT and SVM based Odia Handwritten Character Recognition" - M.Tech.    Supervisor     2017-18 Spring
  • Akash Deep Pal (217CS2433), "Machine Learning Approach for Digital Image Watermarking" - M.Tech.    Supervisor     2018-19 Spring
  • B Vikram Deep (217CS1086), "Underwater Fish Species Recognition using Deep Learning Techniques" - M.Tech.    Supervisor     2018-19 Spring
  • Komal Gupta (217CS1094), "Airborne Visible Hyperspectral Image Classification Using Deep Learning Techniques" - M.Tech.    Supervisor     2018-19 Spring
  • Priya (217CS1088), "Road Extraction from Aerial Images Using Hybrid CNN and Deep Learning Models" - M.Tech.    Supervisor     2018-19 Spring
  • Dhakate Ketan Ramesh Kalpana (218CS1088), "Distracted Driver Posture Classification using Ensemble Deep Learning and Differential Evolution" - M.Tech.    Supervisor     2019-20 Spring
  • Rohit Kathuria (218CS2430), "Copy-Move Forgery detection in digital images using Error Level Analysis and Gabor Wavelets" - M.Tech.    Supervisor     2019-20 Spring
  • Shilpi Agrawal (218CS2310), "Anomaly Detection in Crowded Scenes using Motion Influence Map and Convolutional Autoencoder" - M.Tech.    Supervisor     2019-20 Spring
  • Sunil Jain (218CS2312), "Anomaly Detection in Crowded Scenes using Generative Neural Networks" - M.Tech.    Supervisor     2019-20 Spring
  • Arijeet Choudhury (219CS2124), "Wavelet Based Convolutional Neural Networks for Face Anti-Spoofing" - M.Tech.    Supervisor     2020-21 Spring
  • Ayush Gupta (219CS1451), "Anomaly Detection in Videos With Future Frame Generation" - M.Tech.    Supervisor     2020-21 Spring
  • Manjit Lal (219CS1453), "Detecting Abnormal Activity in Surveillance Videos" - M.Tech.    Supervisor     2020-21 Spring
  • Chandrakant Kumar Choudhary (220CS3268), "Coronary Heart Disease Prediction Using Machine Learning" - M.Tech.    Supervisor     2021-22 Spring
  • Jaybhaye Aishwarya Suryakant (220CS1181), "Skin Lesion Classification using soft Attention and Deep learning technique" - M.Tech.    Supervisor     2021-22 Spring
  • Sheetal Agarwal (220CS1032), "Hand Gesture Recognition in Complex Background using Visual Transformers and iterative Attentional Feature Fusion" - M.Tech.    Supervisor     2021-22 Spring
UG Dissertation
  • M Bhubaneswari (111CS0063), "Optimized Histogram Equalization for Image Enhancement" - B.Tech.    Co-supervisor     2014-15 Spring
  • Pendyala Kavya (111CS0445), "Obstacle detection of a mobile robot" - B.Tech.    Supervisor     2014-15 Spring
  • Raman Mishra (111CS0606), "Mobile Robot Path Planning in Static Environment" - B.Tech.    Supervisor     2014-15 Spring
  • Sanampudi Vineela (111CS0164), "Eye Corner Detection" - B.Tech.    Supervisor     2014-15 Spring
  • Andhavaarapu Aditya (112CS0502), "Telugu HandWritten Character Recognition" - B.Tech.    Supervisor     2015-16 Spring
  • Avinash Kumar Barnwal (112CS0138), "Study of Image Denoising Techniques" - B.Tech.    Supervisor     2015-16 Spring
  • Biplab Barik (112CS0137), "Handwritten character recognition for Odia script" - B.Tech.    Supervisor     2015-16 Spring
  • Smruti Swajalika (112CS0185), "Scene Recognition using Neural Networks" - B.Tech.    Supervisor     2015-16 Spring
  • Vivek Badde (112CS0136), "ENHANCEMENT OF DEGRADED SCANNED IMAGES" - B.Tech.    Supervisor     2015-16 Spring
  • Abhinav Kumar (113CS0141), "Hyperspectral Image Classification via Basic Thresholding Algorithm and Recursive Filter" - B.Tech.    Supervisor     2016-17 Spring
  • Koka Reetika (113CS0122), "Restoration of Degraded Images" - B.Tech.    Supervisor     2016-17 Spring
  • Sambit Panigrahy (113CS0160), "English to Odia machine translation" - B.Tech.    Supervisor     2016-17 Spring
  • Swagat Mohanty (113CS0153), "Fruit Classification Using Machine Learning Techniques" - B.Tech.    Supervisor     2016-17 Spring
  • Akash Saha (114CS0119), "Machine Learning Approaches for Face Recognition" - B.Tech.    Supervisor     2017-18 Spring
  • Amit Kumar Manjhi (114CS0107), "Breast Mass Classification" - B.Tech.    Supervisor     2017-18 Spring
  • Anand Sai Mishra (113CS0149), "IOT- Remote Operation of Household Electrical Appliances" - B.Tech.    Supervisor     2017-18 Spring
  • Atulit Kumar (114CS0105), "Image Question Answering using Deep Learning" - B.Tech.    Supervisor     2017-18 Spring
  • Deepika Agrawal (114CS0088), "Machine Learning Approaches for Face Recognition" - B.Tech.    Supervisor     2017-18 Spring
  • Monik Raj Behera (114CS0095), "Machine Learning approach for Emotion Detection" - B.Tech.    Supervisor     2017-18 Spring
  • Rohit Suri (114CS0137), "Computer Vision based Object Recognition and Localization for Autonomous Underwater Vehicles" - B.Tech.    Supervisor     2017-18 Spring
  • Akankshya Patra (115CS0231), "Video Captioning using Hybridised Deep Learning Methods" - B.Tech.    Supervisor     2018-19 Spring
  • Debasis Panda (115CS0228), "Deep learning frameworks for hyperspectral data classification" - B.Tech.    Supervisor     2018-19 Spring
  • Dharavath Ashok (115CS0200), "Face Recognition In Surveillance Video" - B.Tech.    Supervisor     2018-19 Spring
  • Dibyanshu Shekhar (115CS0192), "Land Cover Classification of Remote Sensing Data using Deep Learning" - B.Tech.    Supervisor     2018-19 Spring
  • Amarendra Behera (113CS0124), "Abnormal Activity Detection using Optical Flow Information" - B.Tech.    Supervisor     2019-20 Spring
  • Anshuman Samal (116CS0228), "Speech Recognition using Ensemble model and Joint CTC-Attention based Model" - B.Tech.    Supervisor     2019-20 Spring
  • Debasish Samal (116CS0229), "End-to-end Speech to Text Translation using Deep Learning Techniques" - B.Tech.    Supervisor     2019-20 Spring
  • Prabin Kumar Rath (116CS0217), "Control Approaches For Mobile Robots With Mounted Robotic Arm" - B.Tech.    Supervisor     2019-20 Spring
  • Sikakollu N V Sivasai Krishna Prasanth (116CS0213), "Ensemble of multiple CNN classifiers for HSI classification with Superpixel Smoothing" - B.Tech.    Supervisor     2019-20 Spring
  • Nitin Lakra (116CS0196), "Forgery Image Detection" - B.Tech.    Supervisor     2020 Summer
  • Harane Vrushali Vijay (117CS0210), "Real-time Theft Detection in Surveillance Videos" - B.Tech.    Supervisor     2020-21 Spring
  • Liyanagama Kankanamge Hasanie Emalka (117CS0203), "Skin Cancer Classification using Learning-Based Approach" - B.Tech.    Supervisor     2020-21 Spring
  • Saswat Meher (117CS0228), "English to Odia Machine Translation using Transformer" - B.Tech.    Supervisor     2020-21 Spring
  • Vasundhra Manhas (117CS0225), "Skin Cancer Classification" - B.Tech.    Supervisor     2020-21 Spring
  • Arijeet De (118CS0163), "Melanoma Detection In Dermoscopic Images Using Two Stream CNN" - B.Tech.    Supervisor     2021-22 Spring
  • Sai Kumar Dwivedi (711CS1116), "Hardware Implementation of Machine Learning Algorithms" - B.Tech. M.Tech Dual Degree    Supervisor     2015-16 Spring
  • Soumya Prakash Behera (711CS2033), "Multi-modal Biometric System using face and iris recogntion system" - B.Tech. M.Tech Dual Degree    Supervisor     2015-16 Spring
  • Anmol Dalmia (712CS2043), "Scaling Effects in Detecting Opinion Spammers Using Review Graphs" - B.Tech. M.Tech Dual Degree    Supervisor     2016-17 Spring
  • Saurabh Kanhere (712CS1123), "Iris Recognition with Enhanced feature encoding and matching techniques" - B.Tech. M.Tech Dual Degree    Supervisor     2016-17 Spring
  • Ayush Pradhan (713CS2051), "Encrypted Network Traffic Classification using Machine Learning" - B.Tech. M.Tech Dual Degree    Supervisor     2017-18 Spring
  • Saumya Sambit Acharya (713CS1034), "Mammogram Classification Using Deep Learning" - B.Tech. M.Tech Dual Degree    Supervisor     2017-18 Spring
  • Sidharth Behera (713CS2044), "Intrusion Detection System using Machine Learning" - B.Tech. M.Tech Dual Degree    Supervisor     2017-18 Spring
  • Debakanta Kar (714CS1040), "Hyperspectral Image Classification using DOST and CNN" - B.Tech. M.Tech Dual Degree    Supervisor     2018-19 Spring
  • Sarthak Behera (715CS1055), "Skin Cancer Detection using Hybrid Deep Neural Network" - B.Tech. M.Tech Dual Degree    Supervisor     2019-20 Spring
  • A Aastha Varma (716CS2057), "Learning deep models for face anti spoofing" - B.Tech. M.Tech Dual Degree    Supervisor     2020-21 Spring

 Awards and Honours

Memberships / Fellowships
  • IE,