Best Researcher Award
Om Sahu
University Of Petroleum & Energy Studies (UPES) Dehradoon, India
Om Sahu is a researcher affiliated with the University Of Petroleum & Energy Studies (UPES) Dehradoon, India, whose documented research activity is associated with computer science and artificial intelligence. The available scholarly record identifies 10 documents, 47 citations, and an h-index of 4. These indicators provide a bibliometric snapshot of the researcher’s indexed publication activity and citation impact.
Abstract
Om Sahu’s research profile reflects activity in computer science and artificial intelligence, with published work applying deep learning to practical detection problems. His documented publications include research on multi-disease detection and smart-factory product defect detection. The available bibliometric information records 10 documents, 47 citations, and an h-index of 4. [1]
Keywords
Artificial intelligence; deep learning; computer science; machine learning; medical image analysis; disease detection; smart manufacturing; product defect detection; computer vision; intelligent systems.
Introduction
Deep learning is increasingly used for classification, recognition, and automated detection across scientific and industrial applications. Within this broader area, Sahu’s documented work addresses both healthcare-oriented detection and manufacturing-oriented quality inspection. His publications indicate an applied research orientation in which computational methods are used to address domain-specific recognition and decision-support problems. [2]
Research Profile
The researcher’s indexed profile is associated with the University Of Petroleum & Energy Studies (UPES) Dehradoon and the subject area of computer artificial intelligence. The reported Scopus identifier is 57215754785, while the ORCID identifier is 0000-0003-0515-399X. The bibliometric record supplied for this recognition page comprises 10 documents, 47 citations, and an h-index of 4. [1]
Research Contributions
Sahu’s recent publications demonstrate the application of deep learning to two distinct detection contexts. The first examines multi-disease detection, while the second focuses on identifying product defects in smart-factory environments. Together, these studies illustrate the use of computational intelligence and pattern-recognition techniques across healthcare and industrial settings. [2] [3]
Publications
- Multi-Disease Detection Using Deep Learning. O.P. Sahu, Om Prakash, A. Singh, Arya, D. Prakash, Deo. ISED 2025 – 13th International Conference on Intelligent Systems and Embedded Design, Proceedings, 2025. IEEE Xplore. [2]
- Smart Factory Product Defect Detection Using Deep Learning. Prakash, D.; Singh, A.; Bais, Y.D.S.; Majumdar, V.; Patel, E.; Sahu, O.P. Lecture Notes in Mechanical Engineering, conference paper, 2025. [3]
Research Impact
The reported 47 citations and h-index of 4 indicate measurable scholarly attention to the researcher’s indexed output. [1] The subject applications also demonstrate relevance beyond a single domain, connecting artificial intelligence methods with medical detection and smart manufacturing. The available evidence supports describing the profile as an emerging applied research contribution rather than making broader claims about field-wide influence.
Award Suitability
Based on the supplied publication and bibliometric information, Om Sahu presents a documented research profile relevant to the Best Researcher Award category at the Computer Scientists Awards. The combination of indexed publications, citations, and research activity in artificial intelligence provides objective material for consideration. Final award decisions should remain subject to the applicable evaluation criteria and review by the responsible award committee.
Conclusion
Om Sahu’s academic profile reflects research activity in computer artificial intelligence, particularly the application of deep learning to disease detection and smart-factory quality inspection. With 10 indexed documents, 47 citations, and an h-index of 4 in the supplied record, the profile provides a measurable basis for academic recognition. [1] His documented publications further indicate an applied orientation connecting artificial intelligence with practical research challenges.
External Links
References
- Elsevier. (n.d.). Scopus author details: Om Sahu, Author ID 57215754785. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57215754785
- Sahu, O.P.; Singh, A.; Prakash, D. et al. (2025). Multi-Disease Detection Using Deep Learning. ISED 2025 – 13th International Conference on Intelligent Systems and Embedded Design, Proceedings.
https://ieeexplore.ieee.org/document/11405003
- Prakash, D.; Singh, A.; Bais, Y.D.S.; Majumdar, V.; Patel, E.; Sahu, O.P. (2025). Smart Factory Product Defect Detection Using Deep Learning. Lecture Notes in Mechanical Engineering. DOI: 10.1007/978-981-95-0063-5_34.
https://doi.org/10.1007/978-981-95-0063-5_34
- ORCID. (n.d.). Om Sahu, ORCID iD 0000-0003-0515-399X.
https://orcid.org/0000-0003-0515-399X
- IEEE. (2025). IEEE Xplore Digital Library: Multi-Disease Detection Using Deep Learning.
https://ieeexplore.ieee.org/document/11405003
- Springer Nature. (2025). Lecture Notes in Mechanical Engineering: Smart Factory Product Defect Detection Using Deep Learning.
https://link.springer.com/chapter/10.1007/978-981-95-0063-5_34