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KIIT KIIT Deemed to be University School of Computer Engineering Kalinga Institute of Industrial Technology · Established 1997 Prof. Achyuta Samanta Prof. Achyuta Samanta Founder – KIIT & KISS achyutasamanta.com
Soumya Ranjan Nayak
School of Computer Engineering
Faculty Profile

Soumya Ranjan Nayak

Assistant Professor

Regular
Email[email protected]
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About the faculty member

Biography and academic profile

Dr. Soumya Ranjan Nayak is currently working as Senior Assistant Professor in the School of Computer Engineering, Kalinga Institute of Industrial technology (KIIT) Deemed to be University, Odisha. He received his Ph.D and M.Tech degree in Computer Science and Engineering under MHRD Govt. of India fellowship from CET, BPUT Rourkela, India; with a preceded degree of B. Tech and Diploma in Computer Science and Engineering. He has published more than 100 articles in peer-reviewed journals and conferences of international repute like Elsevier, Springer, World Scientific, IOS Press, Taylor & Francis, Hindawi, Inderscience, IGI Global, etc.. Apart from that, 16 Book Chapter, 6 Books and 7 Indian patents (4 patents granted) and two International patents (two patents granted) under his credit. His current research interests include medical image analysis and classification, machine learning, deep learning, pattern recognition, fractal graphics and computer vision. Dr. Nayak serves as an associate editor of Journal of Electronic Imaging (SPIE), Mathematical Problems in Engineering (Hindawi), Journal of Biomedical if Imaging (Hindawi), Applied Computational Intelligence and Soft Computing (Hindawi), and PLOS One. He is also serving as Guest editor for special issues of the journal like Springer Nature, Elsevier, and Taylor & Franchise. He has associated as reviewer of many peer-reviewed reputed journals such as Applied Mathematics and Computation, Journal of Applied Remote Sensing, Mathematical Problems in Engineering, International Journal of Light and Electron optics, Journal of Intelligent and Fuzzy Systems, Future Generation Computer Systems, Pattern Recognition Letters, etc. He has also served as Technical Program Committee Member of several conferences of international repute.

Academic and professional profiles
Academic profileScopus
Academic profile

Expertise, contributions
and professional engagement.

Only the sections completed and approved for this faculty profile are shown below.

01

Educational Qualifications

B.Tech, M.Tech, Ph.D

02

Awards and Achievements

1. Received MHRD Govt. of India Fellowship (TEQIP-II), 2013-2017

2. Received the Best Teacher award from Odisha Technological Concleve-2024

3. Keynote Speaker in the International Conference on Sustainable Computing-2024 in SBCET, Jaipur, Rajasthan, India.

4. Associate Editor at PLOS One (Scopus, and Web of Science-SCIE). IF-2.9

5. Associate Editor at Journal of Electronic Imaging – SPIE, (Scopus, and Web of Science-SCIE). IF-0.98

6. Academic Editors) at Mathematical Problems in Engineering (MPE) – Hindawi, (Scopus, Web of Science-SCI). IF-1.305

7. Academic Editors at Applied Computational Intelligence and Soft Computing (ACIS) – Hindawi, (Scopus, and Web of Science-ESCI). IF-2.4

8. Academic Editors at International Journal of Biomedical Imaging (JBI) – Hindawi, 2022, (Scopus, and Web of Science-ESCI). IF-3.3

9. Associate Editor at Journal of Cyber Security Technology-Taylor & Francis (Scopus)

03

Projects and Collaborations

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).

04

Books and Book Chapters

  • 1. Soumya Ranjan Nayak, Janmenjoy Nayak, Khan Muhammad, Yeliz Karaca, Intelligent Fractal Based Image Analysis: Applications in Pattern Recognition and Machine Vision, Elsevier, 2024, ISBN: 9780443184697.
  • 2. R. C. Poonia, V. Singh, and Soumya Ranjan Nayak, Deep Learning for Sustainable Agriculture, Elsevier, 2022, ISBN: 9780323852142.
  • 3. Soumya Ranjan Nayak, B. R. Sahoo, M. Muthukumaran, and J. Mishra, Smart Sensor Networks Using AI for Industry 4.0: Applications and New Opportunities, CRC Press (Taylor & Franchise), 2021, ISBN: 9781003145028.
  • 4. M. Muthukumaran, Soumya Ranjan Nayak, S. N. Panda, and P. K. Pattnaik, Machine Vision Inspection Systems: Machine Learning-Based Approaches, Wiley-Scrivener Publishing, 2021, ISBN: 9781119786092.
  • 5. M. Muthukumaran, Soumya Ranjan Nayak, S. N. Panda, P. K. Pattnaik, and N. Muangnak, Machine Vision Inspection Systems: An Image Processing Approach, Wiley-Scrivener Publishing, 2020, ISBN: 9781119681809.
  • 6. Soumya Ranjan Nayak, and J. Mishra, Examining Fractal Image Processing and Analysis, IGI Global, Advances in Computational Intelligence and Robotics (ACIR), 2019, ISBN: 9781799800668.
  • Book Chapter Published
  • 1. Gupta, S., Mohanty, S., Behera, D. K., & Nayak, S. R. (2025). AI enhanced healthcare: Opportunities, challenges, ethical considerations, and future risk. Responsible and Explainable Artificial Intelligence in Healthcare, 127-153.
  • 2. Nayak, S. R., & Sinha, U. (2024). Fractal feature based image classification. In Intelligent Fractal-Based Image Analysis (pp. 73-88). Academic Press.
  • 3. Jena, K. K., Bhoi, S. K., & Nayak, S. R. (2024). Analysis of Mandelbrot set fractal images using a machine learning based approach. In Intelligent Fractal-Based Image Analysis (pp. 33-45). Academic Press.
  • 4. Nayak, S. R., & Mishra, J. (2023). Analysis of medical images using fractal geometry. In Research anthology on improving medical imaging techniques for analysis and intervention (pp. 1547-1562). IGI Global.
  • 5. Acharya, S., Ghosh, D., Swapnarekha, H., Mishra, M., & Nayak, S. (2023). Integrative data analysis and automated deep learning technique for ovary cancer detection. In Computational Intelligence in Cancer Diagnosis (pp. 43-65). Academic Press.
  • 6. Sharma, S., Ashu, Gupta, A., & Nayak, S. R. (2022). Quantitative Assessment of Fetal Wellbeing Through CTG Recordings. In Connected e-Health: Integrated IoT and Cloud Computing (pp. 291-310). Cham: Springer International Publishing.
  • 7. Meedeniya, D. A., Mahakalanda, I., Lenadora, D. S., Perera, I., Hewawalpita, S. G. S., Abeysinghe, C., & Nayak, S. R. (2022). Prediction of paddy cultivation using deep learning on land cover variation for sustainable agriculture. In Deep learning for sustainable agriculture (pp. 325-355). Academic Press.
  • 8. Jena, K. K., Bhoi, S. K., Nayak, S. R., & Mallick, C. (2021). Machine learning‐based virus type classification using transmission electron microscopy virus images. Machine Vision Inspection Systems, Volume 2: Machine Learning‐Based Approaches, 1-22.
  • 9. Patel, A. K., Mandhala, V. N., Anguraj, D. K., & Nayak, S. R. (2021). Surface defect detection using SVM‐based machine vision system with optimized feature. Machine Vision Inspection Systems, Volume 2: Machine Learning‐Based Approaches, 109-127.
  • 10. Rajesh Kumar, E., Rama Rao, A. K. V. S. N., & Nayak, S. R. (2020). Emotional level classification and prediction of Tweets in Twitter. Emotion and Information Processing: A Practical approach, 161-169.
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