ratnakar

Academic Identity

Orcid Id

0000-0001-9886-2546

Scopus Id

57202393125

Researcher Id

F-1498-2018

Google Scholar Id

d57JEd4AAAAJ

Ratnakar Dash

Associate Professor

Computer Science and Engineering

(+91) 661 246 2365

ratnakar[at]nitrkl.ac.in

Biosketch

72

Publications

1

0

Consultancy Projects

16

Doctoral Students

5

Continuing Education

29

PG Dissertation

Personal Information

Prof. Ratnakar Dash

Associate Professor

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

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

Continuing Education

Artificial Intelligence and Robotics

Computer Science and Engineering

Coordinator

01 Jun 2023 - 30 Jul 2023

Brochure

Short-term Course

Artificial Intelligence based real-time Gesture Recognition system for control of smart electronic equipments

Computer Science and Engineering

Coordinator

01 Jun 2023 - 30 Jul 2023

Brochure

Short-term Course

Data Science and Predictive Analytics for Industry 4.0

Electronics and Communication Engineering

Coordinator

27 Sep 2022 - 01 Oct 2022

Brochure

Short-term Course

GIAN course on Artificial Intelligence for MR Brain Image Processing

Computer Science and Engineering

Coordinator

09 Oct 2017 - 18 Oct 2017

Brochure

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

Brochure

Workshop

Publications

23

Google Scholar h-index

41

Google Scholar i10-index

19

Scopus h-index

Total Publications: 72

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

K. S. Sahoo, B. Sahoo, M. Vankayala, and R. Dash, "Detection of Control Layer DDoS Attack using Entropy metrics in SDN: An Empirical Investigation", in 2017 Ninth International Conference on Advanced Computing (ICoAC), pp.14-16, IEEE, Chennai, India, December 2017, 10.1109/ICoAC.2017.8441392 Inproceedings

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, S. Sahoo, A. Sarkar, B. Sahoo, and R. Dash, "On the placement of controllers for designing a wide area software defined networks", in TENCON 2017 - 2017 IEEE Region 10 Conference, pp.3123-3128, IEEE, Penang, Malaysia, November 2017, 10.1109/TENCON.2017.8228398 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

K. S. Sahoo, B. Sahoo, R. Dash, and M. Tiwary, "Solving Multi-controller Placement Problem in Software Defined Network", in 2016 International Conference on Information Technology (ICIT), pp.188-192, IEEE, Bhubaneswar, India, December 2016, 10.1109/ICIT.2016.047 Inproceedings

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

K. S. Sahoo, B. Sahoo, R. Dash, and N. Jena, "Optimal controller selection in Software Defined Network using a greedy-SA algorithm", in 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp.2342-2346, IEEE, New Delhi, India, March 2016 Inproceedings

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

P. K. Sa, R. Dash, and B. Majhi, "Restoration of motion blurred images", International Journal of Signal and Imaging Systems Engineering, vol.2, no.2, pp.51-56, Inderscience Publishers, November 2009, https://doi.org/10.1504/IJSISE.2009.029329 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

Hide Publications (-)

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 [16]

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

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

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
Anagha Sankar (221CS2294), "Video Forgery Detection using Ensemble Learning Techniques" - M.Tech. Supervisor 2022-23 Spring
Kokkiligadda Jaideep (221CS1270), "Variational Convolutional LSTM Autoencoder for Video Anomaly Detection with Improved Loss" - M.Tech. Supervisor 2022-23 Spring
Shroddha Goswami (221CS1267), "Grading of Diabetic Retinopathy using Attention-based Deep Learning Models" - M.Tech. Supervisor 2022-23 Spring
Siddhartha Shekhar Singh (221CS2296), "Face Anti-Spoofing Using Depth and RGB Feature Learning" - M.Tech. Supervisor 2022-23 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
Nakul Sharma (119CS0165), "A Multitask and Multilingual evaluation of ChatGPT" - B.Tech. Supervisor 2022-23 Spring
Vinayak Luha (119CS0131), "Field Hockey Commentary Generation Using Computer Vision Techniques" - B.Tech. Supervisor 2022-23 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

Academic Identity

Orcid Id

Scopus Id

Researcher Id

Google Scholar Id

Ratnakar Dash

72

Publications

1

Sponsored Projects

0

Consultancy Projects

16

Doctoral Students

5

Continuing Education

29

PG Dissertation

Personal Information

Prof. Ratnakar Dash

Education Qualification

Experience

Expertise Information

Research Group

Areas of Interest

Projects

Continuing Education

Publications

23

Google Scholar h-index

41

Google Scholar i10-index

19

Scopus h-index

Total Publications: 72

Courses Taught

Research Scholars

Ph.D. Students [16]

Executive Ph.D. Students [3]

M.Tech by Research Students [1]

Dissertations

PG Dissertation

UG Dissertation

Awards and Honours

Memberships / Fellowships