Soumya Ranjan Nayak

Biomedical Imaging, Computer Vision, Machine Learning & Data Science, Deep Learning and Vision Transformer, Pattern Recognition, and Fractal Graphics

• B.Tech in Computer Science Engineering from BPUT, Rourkela Odisha,
• M.Tech in Computer Science Engineering from BPUT, Rourkela Odisha, PhD in Computer Science Engineering from BPUT, Rourkela Odisha,
• PostDoc from SIT, Singapore

Dy. Superintendent at KP-25 (I), Execution Committee Member of Research Publication and Outreach (Networing & Branding)

Database Management Systems, Theory of Computation, Operating System, Data Mining and Data Warehousing, Programming in C, Image Processing

• Received Fellowship from MHRD Govt. of India (TEQIP-II) (2013-2017)
• Received Top 2% Scintist released by standford university, USA (2024,2025)
• Received Best Teacher award from Odisha Technological conclave, 2024.

1. Device for Segregating Objects in Limited Illumination, Application No-201911041599, Grant No-354455 (Indian Patent).

2. Device for Surface Roughness Measurement of an Object, Application No-201911043717, Grant No-366328 (Indian Patent).

3. Machine Learning Based Hand Sanitizer making and Dispensing Machine, Grant No-2021100049 (International Patent).

4. Machine Learning Based Water Purifier and Dispenser, Grant No-2021100437 (International Patent).

ISTE Life Member, CSTA Life Member, IEEE Member, IAENG Member

Dr. Soumya Ranjan Nayak actively engages in student mentoring, academic outreach, technical training, and research-based community initiatives. He regularly contributes through expert lectures, workshops, seminars, and faculty development programmes in emerging areas of AI, Machine Learning, Deep Learning, Computer Vision, and Biomedical Applications. He is committed to promoting technology-driven solutions for socially relevant challenges and fostering research collaboration, innovation, and professional development among students and researchers.

Dr. Soumya Ranjan Nayak holds 25+ patents, including 8+ granted patents and 2 granted Indian utility patents, along with granted Indian and international design patents. His inventions span AI-based healthcare, biomedical imaging, computer vision, smart devices, IoT, safety systems, water purification, and electronic cooling. He has also contributed to published patents and registered copyright for CALOTRACK, an AI-powered caloric management system.

Dr. Soumya Ranjan Nayak has made significant contributions to the international scholarly community through 200+ peer-review activities for reputed international journals and conferences. He has reviewed research manuscripts in the areas of Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Biomedical Image Analysis, Pattern Recognition, and Computational Intelligence. His reviewing service includes journals and conferences associated with leading academic publishers such as Elsevier, Springer, IEEE, Taylor & Francis, Wiley, Hindawi, MDPI, and other international publishers. Through his peer-review contributions, he supports the advancement of research quality, scientific rigor, originality, and academic integrity in the scholarly publication process.

K. Swain, S. R. Nayak, S. K. Swain, U. Sinha, ”HyMAF-Net: A region-aware multi-agent fusion attention transformer for multiclass brain tumor classification,” Biomedical Signal Processing & Control, vol. 127, p. 111010, 2026. (Elsevier, SCI), K. Swain, S. R. Nayak, S. K. Swain, J. Nayak, ”XAI-Powered Smart Calorie Tracking via Image Captioning and LLMs: A Personalized AI-Based Nutrition System,” IEEE Access, vol. 14 , p. 45517-45540, 2026. (IEEE, SCIE), K. Swain, T. K. Tak, K. Upreti, P. R. Kshirsagar, S. B. Krishnan, R. C. Poonia, and S. K. Mohapatra, S. R. Nayak ”An improved Atom Search Optimization Algorithm based on Ranking Strategy and Sine Cosine Algorithm for Epileptic Seizure Detection,” Signal, Image and Video Processing (SIViP), vol. 19, p. 1315, 2025. (Springer, SCIE), S.K. Panda, R.C. Barik, S.R. Nayak, and G. Panda, ”Internet of Medical Things-enabled Brain Tumor Classification Using GWO-based Optimized RBF Network,” Journal of Electronic Imaging, vol. 33 (6), pp. 063046-063046, 2024. (SPIE, SCI), S.R. Nayak, D.R. Nayak, U. Sinha, V. Arora, R. Pachuri, “An Efficient Deep Learning Method for detection of COVID-19 Infection Using Chest X-Ray Images,” Diagnostics, vol. 13, 2023. (MDPI, SCI), S.R. Nayak, D.R. Nayak, V. Arora, U. Sinha, R.B. Pachuri, “Application of Deep Learning techniques for Detection of COVID-19 Cases using Chest X-ray Images: A Comprehensive Study,” Biomedical Signal Processing and Control, vol. 64 , pp. 102365, 2021. (Elsevier, SCI). (IF-5.1)., S.R. Nayak, J. Mishra, “Fractal Dimension based Generalised Box-Counting Technique with Application to Gray Scale Images,” Fractals, vol. 29 (3), pp. 2150055, 2021. (World Scientific, SCI). (IF-4.7).

• Books: (Authered/Edited)
• 1. S.R. Nayak, J. Nayak, K. Muhammad, Y. Karaca, Intelligent Fractal Based Image Analysis: Applications in Pattern Recognition and Machine Vision, Elsevier, 2024. ISBN: 9780443184697.
• 2. R.C. Poonia, V. Singh, and S.R. Nayak, Deep Learning for Sustainable Agriculture, Else vier, 2022. ISBN: 9780323852142.
• 3. S.R. Nayak, B.R. Sahoo, M. Muthukumaran, J. Mishra, Smart Sensor Networks Using AI for Industry 4.0: Applications and New Opportunities, CRC Press (Taylor & Francis), 2021. ISBN: 9781003145028.
• 4. M. Muthukumaran, S.R. Nayak, S.N. Panda, P.K. Pattnaik, Machine Vision Inspection Systems: Machine Learning-Based Approaches, Wiley-Scrivener Publishing, 2021. ISBN: 9781119786092.
• 5. M. Muthukumaran, S.R. Nayak, S.N. Panda, P.K. Pattnaik, N. Muangnak, Machine Vi sion Inspection Systems: An Image Processing Approach, Wiley-Scrivener Publishing, 2020. ISBN: 9781119681809.
• 6. S.R. Nayak, J. Mishra, Examining Fractal Image Processing and Analysis, IGI Global, Advances in Computational Intelligence and Robotics (ACIR), 2019. ISBN: 9781799800668. 13
• 7. S.R. Nayak, K. Swain, R.C. Poonia, P.K. Pattnaik, Pioneering Autonomous Technology: A Deep Dive Into Hyper Automation, Elsevier, 2024. (Published).
• 8. S.R. Nayak, S.P. Singh, J. Singh, P. Singh, M. Diwakar, D. Garg, Genome Mapping and Advancements in Deep Learning Approaches: Computation and Analysis in Medical Applications, CRC Press (Taylor & Francis), 2024. (Pulished).

Dr. Soumya Ranjan Nayak actively supervises and mentors undergraduate, postgraduate, and doctoral scholars in Computer Science and Engineering, with expertise in AI, ML, Deep Learning, Computer Vision, Biomedical Image Analysis, and Computational Intelligence. He guides scholars in research formulation, methodology, experimentation, scientific writing, publications, and innovation, with a focus on interdisciplinary and socially relevant research.

Dr. Soumya Ranjan Nayak has participated in professional training, FDPs, workshops, seminars, and certification programmes in AI, ML, Deep Learning, Data Science, Computer Vision, Biomedical Image Processing, and Computational Intelligence, enhancing his technical, teaching, research, and academic leadership skills.

Dr. Soumya Ranjan Nayak has extensive teaching experience in Computer Science and Engineering, covering Data Structures and Algorithms, Database Management Systems, Automata Theory, Data Mining and Data Warehousing, Artificial Intelligence, Machine Learning, Deep Learning, Image Processing, and Computer Vision. He follows a student-centric and application-oriented teaching approach, integrating practical learning and emerging technologies to develop students’ problem-solving, programming, analytical, and research skills.

Dr. Soumya Ranjan Nayak has delivered several invited lectures, expert sessions, and keynote addresses at reputed academic institutions and professional forums. His invited sessions have covered Biomedical Image Processing, Medical Image Analysis, Deep Learning, Machine Learning, and AI-based Healthcare. He delivered lectures at GMR Institute of Technology, Rajam, during national Faculty Development Programmes in 2020 and 2021, and delivered expert talks on Deep Learning and Machine Learning Advances in Medical Imaging at the UGC-HRDC, JNTUH, Hyderabad, and NIT Warangal. He also served as a Keynote Speaker at the International Conference on Sustainable Computing (SUSCOM-2024), Sri Balaji College of Engineering & Technology, Jaipur, in March 2024, where he delivered a keynote on “AI-Based Healthcare Assistance for Sustainable Development.” Through these engagements, he has contributed to knowledge dissemination and professional development in AI, Medical Imaging, and sustainable healthcare technologies.

Editor in 5 reputed International Journals