OUR FACULTY

Staff Name	Mr Selvakumar Annamalai
Designation	Assistant Professor
Date of Birth	16/12/1986
Educational Qualification	B.E., M.E., (Ph.D.)
Specialization	Machine Learning and Data Science
Years of Experience	10 Years
Area of Research	Machine Learning Artificial Intelligence Deep Learning
No of Student’s Project Guided	UG - 12 PG - 1
Publication Details	Journal International Journal Machine Learning based Classification of Diseased Mango Leaves - A Selvakumar and A Balasundaram "Machine Learning based Classification of Diseased Mango Leaves," International Journal on Recent and Innovation Trends in Computing and Communication 2022. ISSN: 2321-8169 Volume: 10 Issue: 7 DOI: https://doi.org/10.17762/ijritcc.v10i7.5563 Automated Mango Leaf Infection Classification using Weighted and Deep Features with Optimized Recurrent Neural Network Concept A. Selvakumar & A. Balasundaram (2023) Automated Mango Leaf Infection Classification using Weighted and Deep Features with Optimized Recurrent Neural Network Concept, The Imaging Science Journal, DOI: 10.1080/13682199.2023.2204036. [SCIE] Transfer Learning Based Effective Approach for Classification of Flowers Transfer Learning Based Effective Approach for Classification of Flowers - Nithin, M.S., Shaik, A., Balasundaram, A., Ram Kakarla, L.S., Selvakumar, A.2022 1st International Conference on Computational Science and Technology, ICCST2022 - Proceedings, 2022, pp. 316–320 Books chapter Published Optimizing Current Crankshaft Design through Finite Element Analysis - published in SRS publication page 1-15, 02/2025
Professional Membership	IET
Patents	HAPPARATUS FOR MEASURING HORIZONTALANGULATION IN KNEE RADIOGRAPHY - DESIGN No - 452739-001 on 24.03.2025 IOT BASED AUTONOMOOUS FIRE FIGHTING DRONE - DESIGN No - 442234-001 on 27.12.2024