Kalpana A. V.

A. V. Kalpana is an accomplished academician and researcher, currently serving as an Assistant Professor in the Department of Data Science and Business Systems at the School of Computing, SRM Institute of Science & Technology, Kattankulathur, Chennai. She completed her Bachelor degree in Computer Science and Engineering in 2004 from the University of Madras, showcasing her foundational understanding of computer science. Further enhancing her expertise, she pursued a Master degree in Computer Science and Engineering from Anna University. She holds a Ph.D. degree from Anna University, Chennai, reflecting her dedication to advancing knowledge in her field. Her research contributions are evident through numerous publications in reputable journals and international conference proceedings. Driven by a passion for knowledge, her research interests span across Machine Learning, Deep Learning, Wireless Sensor Networks, and the Internet of Things (IoT).

Publications

Revolutionizing Finance and Accounting Through AI-Driven Decision Making
S. Vaishnavi, J. Shobana, R. Renugadevi, Sakkaravarthi Ramanathan, K. Arthi, Kalpana A. V.. © 2025. 24 pages.
In today's context, accounting and finance are increasingly crucial for driving economic development, impacting both national economies and individual businesses. Accounting...
An End-to-End Deep Learning Framework for Accurate Tumor Detection and Segmentation in Brain MRI Scans
A. V. Kalpana, B. Bharathi. © 2025. 20 pages.
This chapter presents an automated biomedical image classification system, HBDL-FBTA (Hybrid Bio-inspired Deep Learning with Fusion Brain Tumor Analysis), focused on brain...
Dual-CNN-Based Waste Classification System Using IoT and HDS Algorithm
A. V. Kalpana, S. Suchitra, Ram Prasath, K. Arthi, J. Shobana, T. Nadana Ravishankar. © 2024. 23 pages.
Efficient waste management is crucial in today's environmental landscape, necessitating comprehensive approaches involving recycling, landfill practices, and cutting-edge...
Real-Time Applications of Artificial Intelligence Technology in Daily Operations
R. Renugadevi, J. Shobana, K. Arthi, Kalpana A. V., D. Satishkumar, M. Sivaraja. © 2024. 15 pages.
Artificial intelligence (AI) is a system endowed with the capability to perceive its surroundings and execute actions aimed at maximizing the probability of accomplishing its...
3D Localization in the Era of IIoT by Integrating Machine Learning With 3D Adaptive Stochastic Control Algorithm
Siva Kumar A., G. Indra, Umamageswaran Jambulingam, Ramyadevi K., Praveen Kumar B., Kalpana A. V.. © 2024. 52 pages.
In recent decades, technological advancements have reshaped industries, particularly in communication, consumer electronics, and medical electronics. The rise of the industrial...
Enhancing Healthcare Integration With IoT for Seamless and Responsive Patient Care
A. V. Kalpana, T. Chandrasekar, Renugadevi Ramalingam, S. P. Tamizhselvi, T. Ramesh, M. Chitra. © 2024. 35 pages.
In addressing healthcare challenges, especially in nations like India, the authors propose integrating cutting-edge machine learning algorithms for multi-disease prediction. The...
Advanced AI-Based System for Precision Oil Spill Detection in Marine Environments
S. D. Lalitha, S. Senthilkumar, B. Praveen Kumar, Umamageswaran Jambulingam, T. P. Anish, A. V. Kalpana. © 2024. 30 pages.
Oil spills threaten marine ecosystems, demanding precise detection methods. This paper introduces an AI-based system for accurate and timely oil spill detection in marine...
An Enhanced Study of Quantum Computing in the View of Machine Learning
Arvindhan Muthusamy, M. Ramprasath, A. V. Kalpana, Nadana Ravishankar. © 2023. 35 pages.
Emerging technologies, including quantum information science and artificial education systems, have the potential to have significant implications for the future of human...