Jinsha Lawrence | Big Data | Best Researcher Award

Mrs. Jinsha Lawrence | Big Data | Best Researcher Award

Assistant Professor at Karpagam Academy of Higher Education | India

Mrs. Jinsha Lawrence is an accomplished academician and researcher serving as an Assistant Professor and PhD Researcher at Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu. Her professional expertise spans across Artificial Intelligence, Cloud Computing in Healthcare, Network Routing Algorithms, and Data Structures. With a deep commitment to technological innovation and educational excellence, she integrates advanced computing theories with practical applications to address real-world challenges in data communication and healthcare optimization. Her scholarly contributions include impactful publications such as “Supply Chain Management – Theory and Practice,” “An Efficient IoT Based Wireless Sensor Network with Pigeon Inspired Routing,” “Social Spider Enhanced Multi-Layered ANN Routing Scheme for Wireless Sensor Networks Utilizing Internet of Things and Blockchain Technology,” “Artificial Neural Networks, Deep Learning and Computer Vision,” and “Enhanced Security Protocol for VLSI Systems: Modified AES Algorithm for Robust Data Transmission.” In addition to her research papers, she has developed inventive patents like Metal Detection System, Plant Watering System with Auto Off Motor, Flower Oil Extraction Machine Design, and Road Accident Detection and Reporting System.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

Lawrence, M. J. (2025). PLANT WATERING SYSTEM WITH AUTO OFF MOTOR (IN Patent No. 204,373).

Loganathan, K., Indumathi, R., Mukilan, P., Mary, J. P., Pandi, C., & Lawrence, J. (2025). Golden Eagle optimized hybrid RNN-GRU model for stock price prediction: A data-driven deep learning approach. In Proceedings of the 8th International Conference on Circuit, Power & Computing Technologies (ICCPCT).

Chempavathy, B., Kumari, M. R., Mukilan, P., Pandi, C., Shaffi, S. S., & Lawrence, J. (2025). Enhanced medical image analysis for diabetic eye disease detection using RAM-Net architecture. In Proceedings of the 8th International Conference on Circuit, Power & Computing Technologies (ICCPCT).

Lazha, M. J., Geetha, P., & Sachdeva, K. (2025). Digital diets: Harnessing AI for diabetes prevention through food habits. San International Scientific Publications.

Lawrence, S. M. J., Theodore, S. K. A., Budagam, D. K., & B. (et al.) (2025). Social spider enhanced multi-layered ANN routing scheme for wireless sensor networks utilizing Internet of Things and blockchain technology. SSRG International Journal of Electronics and Communication Engineering, 12.