Dr.NEDUNCHELIYAN SUBBU
Research areas: Computer Science · Computer Networks and Communications · Smart Agriculture and AI · Advanced Neural Network Applications · Energy Efficient Wireless Sensor Networks
0009-0002-0904-8695
About
Professor Dr.S.Neduncheliyan working as Dean- CSE, Rajalakshmi Institute if Technology, Chennai. He holds B.E in Computer Science and Engineering in 1989 from University of Madras, M.S (Engg) in A.I Robotics from School of Electrical and Electronics Engineering and Computing from Universiti Sains Malaysia, Penang, Malaysia in 1999 and Ph.D in Information and Communication Engineering from Anna University, Chennai in 2009.He is having more than 34 years teaching experiences in abroad as well as in India. He has published more than 108 research papers in various International and National Journals and Conferences.He has written 2 science text book and also published 5 patents. He has supervised more than 54 M.E and 10 Ph.D thesis. He has organized 27 webinars and invited as a resource person for 12 webinar. He has appointed as Smart India Hackathon Coordinator and motivated the students to design and develop the innovative product and got first prize Rs.1,00,000.00 from Ministry of Education and AICTE,Government of India in New Delhi last year 2022. He is recipient of Indira Gandhi Excellent Award’2013, International Business Council, New Delhi, Outstanding Educator & Scholar Award 2014, NFED, Coimbatore, India, Best Research Supervisor Award 2015, Grabs Educational Charitable Trust, Chennai, India, Best NSS Unit Award 2017, Anna University, Che nnai, India, South Indian Achiever Award 2020, Kalam Dream Trust, Chennai, 28th January2020 / Chennai, Life Time Achievement Award2020, Bestow Edutrex International Award, 5th September 2020 / Bombay . He is having Fellowship from IETE and Membership from IET. His main research area includes Wireless Sensor Networks, Robotics, Internet of Things and Wireless Communication.
Employment
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Education
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Publications (41)
- Identifying Paddy Crop Disease Using Enhanced Deep Learning Technique Save
- BSA-SGRU-A Novel Deep Learning Framework for Alleviate the Multiple Attacks in IoT-Cloud Environment Save
- A Review on Machine Learning Methods in Smart Healthcare Systems Save
- A Survey on Paddy Crop Disease Detection Using Machine Learning and Artificial Intelligence Models Save
- An towards efficient optimal recurrent neural network-based brian tumour classification using cat and rat swarm (CARS) optimisation Save
- Conversational artificial intelligence development in healthcare Save
- Developing the Optimal Hybrid Neural Network for Predicting the Factor of Air Pollutants Save
- Enhanced V-Net approach for the emotion recognition and sentiment analysis in the healthcare data Save
- Multi-classification of kidney abnormalities in sonography using the LOA-MFO and long-term recurrent convolutional network Save
- A Blockchain-Based Framework for Efficient Health Record Management Save
- An intelligent blockchain strategy for decentralised healthcare framework Save
- An optimal deep feature–based AI chat conversation system for smart medical application Save
- Analysis of PDMS-Based Piezoelectric Substrate for UHF RFID Tags Save
- Development of Intelligent Skin Disease Classification system using Machine Learning Save
- Dual Access Control for Cloud-Based Data Storage and Sharing Save
- Implementing Conversational AI to Enhance Critical Illness Communication Save
- Low light image enhancement using convolutional neural network approach Save
- Machine Learning for Accurate and Efficient Pomegranate Fruit Disease Detection: A Novel Approach to Improve Crop Yield and Quality Save
- Skin Cancer Multiclass Classification Using Weighted Ensemble Model Save
- Wideband SIW based slot antenna for RADAR applications Save