Senthilnathan Chidambaranathan

Senthilnathan Chidambaranathan have completed Master of Computer Applications(MCA) in The American College, affiliated to Madurai Kamaraj University, Madurai India in the year 2000. He have completed his UG in NGM College, Pollachi Affiliated to Bharathiar University, Coimbatore, India in the year 1995 and had a Mathematics Major. He have 23+ years of rich experience in IT industry, He is working in USA since 2007. He have demonstrated leadership and work experience not limited to Architecting Solutions - Enterprise level, IT, Data Strategy, Data Governance, Tools & Technology Evaluation, Technical Roadmaps, Data Landscaping/Zoning and Security Guidance. He is seasoned professional with ability to make Artificial Intelligence, Machine Learning, Deep Learning, Gen AI and Cloud based architecture (AWS, Azure & GCP) and design decisions and trade-off’s for solution architecture adhering to enterprise standards. Heavily contributed to Enterprise Data Architecture, Data Governance, End-to-end cloud migrations, implementation of Bigdata solutions, Datawarehouse and etc., His work is mostly involved in Architecting, Installing, Configuring, Analysing, Designing, Integrating, re-engineering, and developing highly sophisticated Software Systems. He have published few Journal Papers, Peer reviewed few Journal Papers, written Book Chapters and have been key note speaker in International Conferences.

Publications

Deep Learning Safeguard: Exploring GANs for Robust Security in Open Environments
Deep Learning Safeguard: Exploring GANs for Robust Security in Open Environments
B. Venkatesan, Khaja Mannanuddin, Senthilnathan Chidambaranathan, Balajee Jeyakumar, Bhargav Ram Rayapati, K. Baskar. © 2024. 14 pages.
The proposed system not only capitalizes on DCGANs' ability to generate realistic synthetic data but also employs their hierarchical feature learning to enhance the detection...
A Comparative Analysis of Machine Learning Techniques in Creating Virtual Replicas for Healthcare Simulations
A Comparative Analysis of Machine Learning Techniques in Creating Virtual Replicas for Healthcare Simulations
Yogita Manish Patil, Arockia Raj Abraham, Nirbhay Kumar Chaubey, Baskar K., Senthilnathan Chidambaranathan. © 2024. 12 pages.
This comparative analysis into various machine learning techniques employed on the development of virtual replicas (digital twins) for healthcare simulations. The study explores...
Innovative Approaches to Simulating Human-Machine Interactions Through Virtual Counterparts
Innovative Approaches to Simulating Human-Machine Interactions Through Virtual Counterparts
Bijumon George, Nidhi Oswal, K. Baskar, Senthilnathan Chidambaranathan. © 2024. 11 pages.
Creating realistic simulations of human-machine interaction through virtual counterparts is a cutting-edge area of research that involves innovative approaches. This endeavor...
Machine Learning-Driven Data Fusion in Wireless Sensor Networks With Virtual Replicas: A Comprehensive Evaluation
Machine Learning-Driven Data Fusion in Wireless Sensor Networks With Virtual Replicas: A Comprehensive Evaluation
R. M. Dilip Charaan, Senthilnathan Chidambaranathan, Karthick Myilvahanan Jothivel, Sangeetha Subramaniam, M. Prabu. © 2024. 11 pages.
In this study, the authors delve into the world of wireless sensor networks (WSNs) and explore the potential of machine learning-driven data fusion alongside virtual replicas....
Security and Optimization in IoT Networks Using AI-Powered Digital Twins
Security and Optimization in IoT Networks Using AI-Powered Digital Twins
Padma Bellapukonda, G. Vijaya, Sangeetha Subramaniam, Senthilnathan Chidambaranathan. © 2024. 14 pages.
This study explores new ways to make IoT networks more secure and efficient by using advanced digital twin technology. The proposed system, named dynamic network resilience and...
Smart Transportation Systems Machine Learning Application in WSN-Based Digital Twins
Smart Transportation Systems Machine Learning Application in WSN-Based Digital Twins
Monelli Ayyavaraiah, Balajee Jeyakumar, Senthilnathan Chidambaranathan, Sangeetha Subramaniam, K. Anitha, A. Sangeetha. © 2024. 11 pages.
This proposed system, smart travel companion, harnesses the power of machine learning within wireless sensor networks (WSN) to create digital twins for intelligent transportation...