Designation: Assistant Professor Extn: Email: rajashree.nayak@bgu.ac.in Area: AI/ML, Computer Vision, Medical Image Analysis
Brief Profile
Dr Rajashree Nayak is working as an Assistant Professor at Birla School of Applied Sciences at Birla Global University (BGU), Bhubaneswar. Prior joining to BGU Dr. Nayak was working as an assistant professor in Centre for Data Science, JIS Institute of Advanced Studies and Research (JISIASR), JIS University, Kolkata and Assistant Professor (Adhoc) at NIT Meghalaya. Dr. Nayak has completed Ph.D. from NIT Rourkela and M.Tech. from VSSUT Burla. She is having more than 6 years of experience in teaching and research at reputed institute of national importance in the field of Artificial Intelligence, Machine Learning, Image Processing, Biomedical Image Analysis and Signal processing etc. She has developed efficient AI enabled methodologies for Medical Image Analysis, Obscene Content detection in Social Media, Biomedical Image Registration, Super-resolution Image Reconstruction and Image Forgery detection etc. She has extensive expertise in MATLAB and Python for various Machine Learning and Deep Learning applications. Dr. Nayak has published 30 number of research articles in several SCI and Scopus indexed journals of international repute, book chapters and international conferences. Dr. Nayak served as session chair and TPC members of many international conferences and also awarded as the best researcher award. She is serving as a potential reviewer for many reputed journals.
Educational Qualifications
Ph. D.
Ph.D. from National Institute of Technology(NIT) Rourkela
M.Tech
M.Tech from from VSSUT, Burla
B.Tech
B.Tech from Biju Patnaik Technical University (BPUT),Rourkela
Research Interest
AI/ML in various computer vision applications
Explainable Artificial Intelligence
Cyber Image Analysis
Super Resolution Image Reconstruction
Digital Heritage preservation
Skin Lesion Image analysis
Fundus image analysis for early detection of Diabetic Retinopathy
Forgery and Obscene Image detection
Academic Experience
August, 2023 onwards – Assistant Professor, Birla School of Applied Science, Birla Global University, Bhubaneswar
November 2021- July 2023 – Assistant Professor, Centre for Data Science, JISIASR, JIS University, Kolkata
January, 2019 – May, 2020 – Assistant Professor (Adhoc), Department of Electrical Engineering, NIT Meghalaya, India.
August, 2018 – December, 2018 – Guest Lecturer, North-Eastern Hill University, Shillong, Meghalaya, India.
A system and method for processing quantum information with MSTVTD in quantum communication.
A system and method for quantum communication by object teleportation in variant space time domain.
Publications in Journals/ Conferences/ Book Chapters
Banerjee, Papia, and Rajashree Nayak. “Recommendations on Financial Models for Stock Price Prediction.” SN Computer Science 5, no. 1 (2024): 178.
Sharma, Pallabi, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, M. Tanveer, and Rajashree Nayak. “A survey on cancer detection via convolutional neural networks: Current challenges and future directions.” Neural Networks (2023).
Samal, Sonali, Rajashree Nayak, Swastik Jena, and Bunil Ku Balabantaray. “Obscene image detection using transfer learning and feature fusion.” Multimedia Tools and Applications (2023): 1-29.
Samal, Sonali, Yu Dong Zhang, Thippa Reddy Gadekallu, Rajashree Nayak, and Bunil Kumar Balabantaray. “SBMYv3: Improved MobYOLOv3 a BAM attention based approach for obscene image and video detection.” Expert Systems (2023): e13230.
Hansda, Raimoni, Rajashree Nayak, Bunil Kumar Balabantaray, and Sonali Samal. “Copy-move image forgery detection using phase adaptive Spatio-structured SIFT algorithm.” SN Computer Science 3 (2022): 1-16.
Nayak, Rajashree, Dipti Patra, and Bunil Ku Balabantaray. “Super resolution image reconstruction using molecular docking.” IET Image Processing 14, no. 12 (2020): 2922-2936.
Nayak, Rajashree, Bunil Kumar Balabantaray, and Dipti Patra. “A new single-image super-resolution using efficient feature fusion and patch similarity in non-euclidean space.” Arabian Journal for Science and Engineering 45 (2020): 10261-10285.
Nayak, Rajashree, and Dipti Patra. “Enhanced iterative back-projection based super-resolution reconstruction of digital images.” Arabian Journal for Science and Engineering 43 (2018): 7521-7547.
Nayak, Rajashree, and Dipti Patra. “New single-image super-resolution reconstruction using MRF model.” Neurocomputing 293 (2018): 108-129.
Nayak, Rajashree, and Dipti Patra. “Super resolution image reconstruction using penalized-spline and phase congruency.” Computers & Electrical Engineering 62 (2017): 232-248.
Nayak, Rajashree, and Dipti Patra. “An edge preserving IBP based super resolution image reconstruction using P-spline and MuCSO-QPSO algorithm.” Microsystem Technologies 23 (2017): 553-569.
Panda, Rutuparna, Sanjay Agrawal, Madhusmita Sahoo, and Nayak, Rajashree. “A novel evolutionary rigid body docking algorithm for medical image registration.” Swarm and Evolutionary Computation 33 (2017): 108-118.
Nayak, Rajashree, and Dipti Patra. “Super resolution image reconstruction using weighted combined pseudo-Zernike moment invariants.” AEU-International Journal of Electronics and Communications 70, no. 11 (2016): 1496-1505.
Publications in Conferences
Parida, Nirupama, Bunil Kumar Balabantaray, Rajashree Nayak, and Jitendra Kumar Rout. “A Deep Learning based Approach to Stock Market Price Prediction using Technical indicators.” In 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS), pp. 1-7. IEEE, 2023.
Das, Pallabi and Rajashree Nayak, “Preprocessing Retinal Fundus Images to localize lesions for Identification of Diabetic Eye Diseases”, Second International Conference on Innovations in Software Architecture and Computational Systems (ISACS).
Das, Pallabi and Rajashree Nayak,“ Explainable CAD System for early detection of diabetic Eye diseases: a review”, International Conference on Robotics, Control, Automation and Artificial Intelligence (RCAAI).
Samal, Sonali, Shivam Pandit, Bunil Kumar Balabantaray, Arun kumar Sahani, and Rajashree Nayak. “AVENet: Attention-Based VGG 16 with ELM for Obscene Image Classification.” In International Conference on Frontiers in Computing and Systems, pp. 3-11. Singapore: Springer Nature Singapore, 2022.
Sharma, Pallabi, Anmol Gautam, Rajashree Nayak, and Bunil Kumar Balabantaray. “Melanoma Detection using Advanced Deep Neural Network.” In 2022 4th International Conference on Energy, Power and Environment (ICEPE), pp. 1-5. IEEE, 2022.
Hansda, Raimoni, Rajashree Nayak, and Bunil Kumar Balabantaray. “Copy-move image forgery detection via combined pseudo-zernike moment invariant.” In 2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, pp. 1-6. IEEE, 2021.
Hansda, Raimoni,Rajashree Nayak, and Bunil Ku Balabantaray. “Copy-Move Image Forgery Detection Using Spatio-Structured SIFT Algorithm.” In Computer Vision and Image Processing: 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part I 5, pp. 20-31. Springer Singapore, 2021.
Nayak, Rajashree, and Bunil Ku Balabantaray. “Generative Adversarial Network for Heritage Image Super Resolution.” In Computer Vision and Image Processing: 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part II 5, pp. 161-173. Springer Singapore, 2021.
Nayak, Rajashree, and Dipti Patra. “An edge preserving IBP based super resolution image reconstruction using P-spline and MuCSO-QPSO algorithm.” Microsystem Technologies 23 (2017): 553-569.
Balabantaray, Bunil Kumar, Rommel Chakravarty, Akash Kumar Panda, and Rajashree Nayak. “Melanoma classification through transfer learning by the analysis of skin lesion images.” In Proceedings of the International Conference on Computing and Communication Systems: I3CS 2020, NEHU, Shillong, India, pp. 403-413. Springer Singapore, 2021.
Nayak, Rajashree, and Dipti Patra. “Image interpolation using adaptive P-spline.” In 2015 Annual IEEE India Conference (INDICON), pp. 1-6. IEEE, 2015.
Nayak, Rajashree, Dipti Patra, and Saka Harshavardhan. “Sparse representation based image super resolution reconstruction.” In TENCON 2015-2015 IEEE Region 10 Conference, pp. 1-6. IEEE, 2015.
Nayak, Rajashree, Saka Harshavardhan, and Dipti Patra. “Morphology based iterative back-projection for super-resolution reconstruction of image.” In 2014 2nd International Conference on Emerging Technology Trends in Electronics, Communication and Networking, pp. 1-6. IEEE, 2014.
Nayak, Rajashree, S. Monalisa, and Dipti Patra. “Spatial super resolution based image reconstruction using HIBP.” In 2013 Annual IEEE India Conference (INDICON), pp. 1-6. IEEE, 2013.
Publications in Referred Book Chapters
Hansda, Raimoni, Nayak, Rajashree, and Bunil Ku Balabantaray. “Copy-Move Image Forgery Detection Using Spatio-Structured SIFT Algorithm.” In Computer Vision and Image Processing: 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part I 5, pp. 20-31. Springer Singapore, 2021.
Nayak, Rajashree, and Bunil Ku Balabantaray. “Generative Adversarial Network for Heritage Image Super Resolution.” In Computer Vision and Image Processing: 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part II 5, pp. 161-173. Springer Singapore, 2021.
Nayak, Rajashree, Bunil Ku Balabantaray, and Dipti Patra. “MoBMGAN: Modified GAN-Based Transfer Learning for Automatic Detection of COVID-19 Cases Using Chest X-ray Images.” In Computational Modeling and Data Analysis in COVID-19 Research, pp. 29-46. CRC Press, 2021.
Nayak, Rajashree, L. V. Sai Krishna, and Dipti Patra. “Enhanced super-resolution image reconstruction using MRF model.” In Progress in Intelligent Computing Techniques: Theory, Practice, and Applications: Proceedings of ICACNI 2016, Volume 1, pp. 207-215. Springer Singapore, 2018.
FDP and Workshops
AI and ML application in Health care organized by NIT Meghalaya, 03.09.2020 to 07.09.2020
Deep Learning and Machine Learning, organized by NIT Meghalaya and E&ICT Academy, IIT Guwahati from 22.07.2019 to 26.07.2019
Advancements in Signal Processing and Optimization Techniques, organized by NIT Meghalaya and E\&ICT Academy, IIT Guwahati from 03.06.2019 to 07.06.2019
Deep Learning and Application, organized by MietY and NIT Meghalaya from 27.05.2019 to 31.05.2019
AI and Machine Learning, organized by NIT Meghalaya in collaboration with E&ICT Academy, IIT Guwahati from 17.12.2018 to 21.12.2018
DSP and Sensors organized by NIT Meghalaya in collaboration with E&ICT Academy, IIT Guwahati from 10.12.2018 to 14.12.2018
ANN and Deep Learning organized by NIT Meghalaya and E&ICT Academy, IIT Guwahati from 11.06.2018 to 15.06.2018
Big Data Analysis organized by NIT Meghalaya and E&ICT Academy, IIT Guwahati from 21.05.2018 to 25.05.2018
Short Term course on Advanced image processing solutions for emerging challenges in medical applications organized by NIT Rourkela and TEQIP-II, 25-26, September, 2016
Workshop on Recent trends in Medical Signal and Image Processing organized by NIT Rourkela, 25-26 March 2017
Workshop on Research support e-resources, tools and techniques and scholarly Publishing organized by NIT Rourkela and TEQIP-II, 27th October, 2016
Workshop on Intellectual property and innovation management in knowledge era organized by NIT Rourkela and NRDC, New Delhi on 24th November 2015
Workshop on Awarness program for creation and management of intellectual property rights organized by VSSUT, Burla, Odishha and TIFAC, New Delhi on 1st February, 2013
Expert Talks
“Spatial Domain Image Enhancement” at G H Raisoni College of Engineering Nagpur, 30th Jan 2021.
“Artificial Intelligence for Human Resource Management” at The Maharaja Sayajirao University of Baroda, 2nd September 2021.
SERB sponsored High-End Workshop Karyasala from 13.06.2022 to 26.06.2022 on “Cultural Heritage Preservation using Machine Learning” in NIT Meghalaya.
“Technical Writing” organized by CDS, JISIASR, JIS University, Kolkata.
“Advanced Trends in Deep Learning” organized by CDS, JISIASR, JIS University, Kolkata.
M.Tech Thesis Guided
Workshop Organized
Deep learning based CBCT image quality enhancement methodology for BCS patients.
Evolutionary Computing for Seismic Inversion.
Lymphoblastic Leukemia detection using Deep Learning.
Development of real-time Indian Sign Language Recognition System using Deep Learning.
Awards and Endorsements
Best research paper award at CCSN-2016, India
Best research paper award at CCSN-2014, India
MHRD Post-Graduate Scholarship (May 2011- June 2013), MHRD, Govt. of India
MHRD Doctoral Scholarship (July 2013- December 2017), MHRD, Govt. of India
