SRMIST Vadapalani
Ms. S. Poornima

Ms. S. Poornima

Assistant Professor (Jr. G)

Department of Computer Science & Engineering (Emerging Technologies)

Degree Specialization University/Institute Name, Year
Ph.D Hyperspectral Remote Sensing and AI SRM University, VDP, Pursuing
M.E Embedded Systems Technology SRM University, Ramapuram, 2015
B.E Electronics and Communication Engineering Anna University, 2002
Diploma Electronics and Communication Engineering Panimalar Polytechnic, DOTE,, 1999
  • Remote Sensing
  • Artificial Intelligence
  • Image Processing
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Machine Learning (Theory & Lab)
  • Artificial Neural Networks (Theory)
  • Programming Languages
  • Database Management Systems
  • Data Structures and Algorithms
  • Assistant Professor (Jr.G.), Department of Computer Science and Engineering (Emerging Technologies), SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, JUNE 2026 – Till date
  • Academic Advisor & Head Mistress, Radha Vidhyalaya Nursery and Primary School, from 2017 to 2023 (6 years).
  • IT Administrator, GKM Engineering College, from 2015 to 2017 (2 years).
  • Lecturer, PMR Engineering College, from 2010 to 2011 (1 year).
  • Lecturer, VelTech MultiTech Engineering College, from 2008 to 2010 (2 years).
  • Quality Analyst & Web Researcher cum Trainer, Zen Data Services Pvt. Ltd., from 2006 to 2008 (2 years).
  • Software Faculty, Computer Software College, Chennai, from 2005 to 2006 (1 year).
  • Received Top Performer recognition in the ISRO–IIRS Examination conducted during the calendar year 2023.
  • Received the "Dr. Mu. Varatharasanar Teaching Excellence Award" from the International Association of Lions Clubs in 2021.
  • Received the "Dr. Radhakrishnan Teaching Excellence Award" from the Lions Club of Madras LUZ in 2019.
  • Recognized as a Cuemath Certified Teacher in 2019.
  • In 2020, I was honored to serve as the Chief Guest for the Pongal Celebration at Velammal Vidyalaya School, Alapakkam.
  • Patent entitled “HIGH-PERFORMANCE DM-DG-JL-TFET FOR ENABLING EFFICIENT ENERGY HARVESTING APPLICATIONS” with registered number 202441034507 which has been published on 10/05/2024.
Journal Publications
  • Poornima S., and A. Shirly Edward. MLVI-CNN: A Hyperspectral Stress Detection Framework Using Machine Learning-Optimized Indices and Deep Learning for Precision Agriculture. Frontiers in Plant Science, Vol. 16, 2025. DOI: 10.3389/fpls.2025.1631928. (SCI, Q1 Journal)
  • Poornima Seralathan, and A. Shirly Edward. Reinforcement Learning Based Dynamic Vegetation Index Formulation for Rice Crop Stress Detection Using Satellite and Mobile Imagery. Scientific Reports (Nature Portfolio), Vol. 16, Article 3447, 2026. DOI: 10.1038/s41598-025-33386-9. (SCI, Q1 Journal)
  • Poornima S, Shirly Edward A, “Progression-aware crop stress forecasting and context-driven management advisory using reinforcement learning–based vegetation index”, Nature Communication, (Under Review). (SCI)
International Conference Publications
  • Poornima S., and Shirly Edward. A Comparative Analysis of Classification Algorithms for Hyperspectral Data in Plant Stress Detection. Proceedings of the 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2024), IEEE, 2024. DOI: 10.1109/ICECA63461.2024.10801148.
  • Poornima Seralathan, and Shirly Edward. Revolutionizing Agriculture: Deep Learning-Based Crop Monitoring Using UAV Imagery – A Review. Proceedings of the International Conference on Expert Clouds and Applications (ICOECA 2024), IEEE, 2024. DOI: 10.1109/ICOECA62351.2024.00139.
  • Poornima Seralathan, and Shirly Edward. Rice Sentinel: Advanced Precision Agriculture Tool for Real-Time Disease Monitoring with Raspberry Pi. In: Proceedings of the International Conference on Advanced Research in Electronics and Communication Systems (ICARECS 2025), Atlantis Highlights in Engineering, Vol. 38, Springer Nature, 2025. DOI: 10.2991/978-94-6463-754-0_74.