Assistant Professor at Rajalakshmi Engineering College, India
Dr. S. Ramesh is an accomplished academic and researcher with over 15 years of teaching and research experience in Electronics and Communication Engineering, specializing in Artificial Intelligence, Machine Learning, Computer Vision, IoT, and Embedded Systems. He currently serves as Assistant Professor (Senior Scale) in the Department of Mechatronics Engineering at Rajalakshmi Engineering College, Chennai. Dr. Ramesh holds a Ph.D. from VIT University, where he focused on disease detection in paddy crops using machine learning. He is currently pursuing post-doctoral research at Multimedia University, Malaysia, in the field of AI-driven crop disease identification. Throughout his career, he has held academic positions at esteemed institutions including Saveetha University, SRM University, and VIT. He has published over 100 peer-reviewed papers, including 20 SCI and 80 Scopus-indexed articles, and has 18 patents to his credit. Dr. Ramesh has received multiple accolades, such as the Young Scientist Award (2023), Best Researcher Award, and several international honors for his contributions to precision agriculture and cybersecurity in smart farming. An active academic collaborator and mentor, he also serves on editorial boards of reputed journals and has completed over 250 online certifications in AI and machine learning. He is a lifetime member of several professional organizations, including IEEE, IAENG, and SIPH.
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Summary of Suitability for Best Researcher Award: Dr. Ramesh S
Dr. Ramesh S is a highly accomplished and visionary academician whose extensive contributions to research, innovation, and education make him an exemplary candidate for the Best Researcher Award. With 15 years of dedicated teaching and research experience, Dr. Ramesh has demonstrated excellence across domains such as Artificial Intelligence, Machine Learning, Embedded Systems, and Precision Agriculture.
🎓 Education
🧠 Post-Doctoral Research (2024–2025)
📍 Multimedia University, Malaysia
📚 Machine Learning — Crop Disease Identification in Rural Areas
🎓 Ph.D. in Electronics & Communication Engineering (2015–2020)
📍 VIT University, Chennai
🧪 Focus: Machine Learning for Disease Detection in Paddy Crops
🎓 M.Tech in Embedded Systems Technology (2009–2011)
📍 SRM University, Chennai
🎓 B.E. in Electronics and Instrumentation Engineering (2004–2008)
📍 National Engineering College, Kovilpatti
🏫 Academic & Research Experience (15+ Years)
📍 Rajalakshmi Engineering College – Assistant Professor (SS)
🧑🏫 April 2024 – Present | Dept. of Mechatronics Engineering
📍 Saveetha University, Chennai – Associate Professor
📅 July 2022 – April 2024 | Applied Machine Learning
📍 St. Mother Theresa Engineering College, Tirunelveli – HOD & Assistant Professor (SS)
📅 Nov 2021 – Jun 2022
📍 Sri Shakthi Institute of Engineering & Technology, Coimbatore
📅 Jan 2021 – Oct 2021
📍 VIT University, Chennai – Research Associate / Jr. Asst. Prof.
📅 2015 – 2020
📍 SRM University, NCR Campus – Assistant Professor
📅 2011 – 2015
💡 Areas of Expertise
🤖 Artificial Intelligence
📊 Machine Learning
👁️ Computer Vision
🌐 Internet of Things (IoT)
🔌 Embedded Systems
🌍 International Exposure & Keynote Roles
🧑⚖️ Session Chair & Reviewer – WCASET 2024, Thailand
🎤 Keynote Speaker – WCASET 2024, Bangkok
🌏 Academic Visit – Asia Pacific University, Malaysia
📄 Presented Research on Paddy Disease & IoT
📚 Research
🧬 Patents (Published/Granted): 18
📄 SCI Indexed Papers: 20
📝 Scopus Indexed Papers: 80
📘 Books Authored: 6
📗 Book Chapters (Scopus): 10
📒 Book Editor Roles: 2
🎤 Conference Presentations: 23
🎓 FDPs Attended: 25
🧠 Online Certifications (AI/ML): 250+
🏆 Awards & Honors
🥈 Silver Award – iNVENTX 2024, Malaysia
AI-Driven Crop Disease Detection
🥉 Bronze Award – iNVENTX 2024, Malaysia
Cybersecurity Standards in Precision Agriculture
🏅 Research Excellence Award (2024–25) – IFERP, Thailand
🥇 Best Researcher Award 2021 – Novel Research Academy
🏆 National Excellence Achievers Award 2024 – WELRED Foundation
🎓 Young Scientist Award 2023 – Royal Science Forum
🏆 Best Academic Excellence Award 2022 – SIPH
🧑🔬 Outstanding Young Researcher Award 2023 – I2OR, India
🧪 Dr. APJ Abdul Kalam Award 2023 – Tamil Thai Foundation
🏅 Best Paper Awards (2018, 2023) – CIIR Springer & VELS University
🎤 Session Chair – IEEE ACCAI 2022
🤝 Academic Collaborations & Initiatives
🤝 MOU with Digisailor and Codenplay Robotics
🧑🔧 Course Co-designer with Central Electronics Ltd. (CEL) – Renewable Energy
🧑🏫 Mentored interns through IKS Division – 4 students selected
💼 Administrative Roles Held
📊 NBA & NAAC Coordinator
🧑🏫 HOD / Assistant HOD / Project Coordinator
📑 ERP Coordinator, ECE Dept.
📣 Symposium Convener – SRM & Saveetha University
🧠 Technical Skills
💻 Matlab, WEKA, R
🐍 Python, Keil
🖥️ Data Science Tools
✒️ Editorial Board & Reviewer Roles
📕 IETE Journal of Research (Taylor & Francis)
📗 Artificial Intelligence Review (Springer)
📘 American Journal of Artificial Intelligence
🧠 AI Insights & more
🎖️ Professional Memberships
🔹 IEEE Member – ID: 97908979
🔹 IAENG
🔹 Global Institute for Education & Research
🔹 Scientific International Publishing House
🔹 IRED, I2OR, Greenthinkz
Publication Top Notes
Recognition and classification of paddy leaf diseases using Optimized Deep Neural network with Jaya algorithm
Cited: 385
Rice blast disease detection and classification using machine learning algorithm
Cited: 112
Sustainable Development in Modern Aquaponics Cultivation Systems Using IoT Technologies
Cited: 100
Application of machine learning in detection of blast disease in South Indian rice crops
Cited: 86
An artificial intelligence enabled smart industrial automation system based on internet of things assistance
Cited: 78