Best Scholar Award
Nithin Nayak — Xavier Institute of Engineering, India
Nithin Nayak is affiliated with the Department of Information Technology at Xavier Institute of Engineering, Mumbai, India. His research activity includes work on edge computing, secure attendance, facial recognition, RFID, and automated access validation. His published study addresses practical integration of these technologies with payroll-oriented information systems and workplace security. [1]
Abstract
Nithin Nayak is an emerging researcher in information technology whose work focuses on applications of edge computing, RFID, facial recognition, computer vision, and secure access validation. Affiliated with Xavier Institute of Engineering, Mumbai, he contributed to a published study presenting a hybrid edge-cloud attendance and payroll integration system. The research combines multiple authentication layers with local processing to improve security, operational continuity, and attendance integrity. His publication provides evidence of applied interdisciplinary research connecting intelligent systems, Internet of Things technologies, and workplace automation. The scholarly record supports recognition of his contribution to contemporary information technology research and engineering practice. [1]
Keywords
Edge Computing; Internet of Things; RFID; Facial Recognition; Computer Vision; Attendance Systems; Access Validation; Payroll Integration; Information Technology; Intelligent Systems. [1]
Introduction
Nithin Nayak is affiliated with the Department of Information Technology at Xavier Institute of Engineering, Mumbai, India. His research activity includes work on edge computing, secure attendance, facial recognition, RFID, and automated access validation. His published study addresses practical integration of these technologies with payroll-oriented information systems and workplace security. [1]
Research Profile
Nithin Nayak’s available scholarly profile records one indexed document and identifies Xavier Institute of Engineering as his institutional affiliation. His 2026 publication places his work within information technology, edge computing, Internet of Things, computer vision, and access security. Scopus provides an author record for his indexed scholarly activity. [1] [2]
Research Contributions
Nithin Nayak contributed to the development and documentation of an edge-enabled attendance and access validation system. The research combines RFID verification, facial recognition, and physical line-cross detection, with local processing on Raspberry Pi and periodic cloud synchronization. The approach addresses proxy attendance, authentication, connectivity, and payroll integration requirements in environments. [1]
Publications
Nithin Nayak is a co-author of the 2026 article “Edge computing enabled attendance and access validation system using RFID, facial recognition and line cross detection for payroll integration,” published in Discover Internet of Things. The article reports a edge-cloud architecture and triple-layer authentication model, providing a foundation for his record. [1]
Research Impact
The published study demonstrates practical research impact through an integrated attendance and access validation prototype designed for operation with limited internet connectivity. Reported experiments included facial recognition accuracy, acceptance performance, and processing latency. These results indicate potential relevance to secure workplace monitoring, automated payroll workflows, and edge-based intelligent systems. [1]
Award Suitability
Nithin Nayak’s documented publication provides evidence of research activity aligned with information technology and applied intelligent systems. The work addresses a contemporary engineering problem through edge computing, RFID, facial recognition, and computer vision. Based on the available publication and indexed profile information, the Best Scholar Award recognizes his scholarly contribution. [1] [2]
Conclusion
Nithin Nayak’s current scholarly record reflects an emerging research profile centered on practical information technology applications. His documented contribution to edge-based attendance and access validation demonstrates interdisciplinary use of security, computer vision, RFID, and IoT techniques. Continued publication, independent research, and broader scholarly dissemination could further strengthen his academic trajectory. [1] [2]
External Links
References
- More, J., Nayak, N., Tiwari, H., & Rajpurohit, C. S. (2026). Edge computing enabled attendance and access validation system using RFID, facial recognition and line cross detection for payroll integration. Discover Internet of Things, 6, 99.
https://doi.org/10.1007/s43926-026-00438-z
- Elsevier. (n.d.). Scopus author details: Nithin Nayak, Author ID 60751199800. Scopus.
https://www.scopus.com/pages/authors/60751199800
