Sangeetha Subramaniam

Sangeetha Subramaniam is working as an Assistant Professor in the Department of Information Technology, Kongunadu College of Engineering and Technology, Trichy, Tami Nadu, India. She received B.E. Computer Science and Engineering from PGP College of Engineering and Technology, Namakkal under Anna University-Chennai in 2006. She was awarded with M.E. in Computer Science and Engineering from M.Kumarasamy College of Engineering, Karur under Anna University-Coimbatore in 2009. She has 12 years of teaching experience and pursuing Ph.D., as a part-time research scholar in Anna University, Chennai. Her area of interest lies in Image Processing, Machine Learning and Deep Learning. She has published 10 papers in International journals and presented 15 papers in national and international conferences.

Publications

A Survey of AI Integration in Unmanned Aerial Vehicles (UAVs) Using Digital Twin Technology: Advancements and Applications
A Survey of AI Integration in Unmanned Aerial Vehicles (UAVs) Using Digital Twin Technology: Advancements and Applications
A. Peter Soosai Anandaraj, R. Dhivya, Karamath Ateeq, Sangeetha Subramaniam. © 2024. 13 pages.
This chapter explores the burgeoning field of integrating artificial intelligence (AI) into unmanned aerial vehicles (UAVs) through the lens of digital twin technology. UAVs...
Enhancing Digital Twins With Wireless Sensor Networks: An In-Depth Exploration
Enhancing Digital Twins With Wireless Sensor Networks: An In-Depth Exploration
T. Akila, Purti Bilgaiyan, Sangeetha Subramaniam, R. Venkateswaran. © 2024. 15 pages.
This chapter explores the integration of digital twin technology (DTT) and artificial intelligence (AI) in advancing underwater wireless sensor networks (UWSN). The problem...
Unlocking the Potential of AI-Powered Digital Twins in Advancing Space Technology: A Comprehensive Survey
Unlocking the Potential of AI-Powered Digital Twins in Advancing Space Technology: A Comprehensive Survey
Ruby Dahiya, S. Rajanarayanan, K. Baskar, Hidayath Ali Baig. © 2024. 12 pages.
The chapter provides an overview of the survey study that focuses on the synergistic potential of artificial intelligence (AI) and digital twins in the context of space...
Challenges and Opportunities in Implementing AI-Driven Surveillance for Women's Wellbeing
Challenges and Opportunities in Implementing AI-Driven Surveillance for Women's Wellbeing
Swaminathan Kalyanaraman, Sivaram Ponnusamy, Sangeetha Subramanian. © 2024. 11 pages.
This research explores the difficulties and positive aspects of using AI-driven surveillance to improve women's wellbeing. The authors delve into the challenges, such as...
Adversarial Learning for Intrusion Detection in Wireless Sensor Networks: A GAN Approach
Adversarial Learning for Intrusion Detection in Wireless Sensor Networks: A GAN Approach
Swaminathan Kalyanaraman, Sivaram Ponnusamy, S. Saju, S. Sangeetha, R. Karthikeyan. © 2024. 14 pages.
In the vital domain of wireless sensor networks (WSNs), which play an essential role in monitoring and data collection across diverse environments, safeguarding against cyber...
Enhancing Network Analysis Through Computational Intelligence in GANs
Enhancing Network Analysis Through Computational Intelligence in GANs
Padma Bellapukonda, Sathiya Ayyadurai, Mohsina Mirza, Sangeetha Subramaniam. © 2024. 13 pages.
In the discipline of allowsrative artificial intelligence, generative adversarial networks have become an effective tool that allow for the creation, modification, and synthesis...