Manikandan Moovendran
Dayananda Sagar University, SRM Institute of Science and Technology, Kumaraguru College of Technology, Bannari Amman Institute of Technology
0000-0002-2867-2568
About
Dr.M. Manikandan is currently working as an Assistant Professor, Dept. of Artificial Intelligence , in the School of Engineering, Dayananda Sagar University. He has completed his B.E in Computer Science and Engineering at Bannari Amman Institute of Technology, M.E CSE at Kumaraguru college of Engineering and Technology and Ph.D. from Anna University in 2023. He has a 9 years’ experience in teaching and 1 year in research. His area of research includes Data Science, Cloud Computing, Machine Learning, Database Systems Modeling and Simulation. He has published 11 papers in international journals ,4 patents and 3 books. He was the JRF for project titled “Design and Development of MALE UAV with augmented high aspect ratio aero foil to enable maximum payload lift capability” worth 50 lakhs sponsored by ISRO/DRDO. He has achieved with Best Researcher Award from AICTE – in coronathon/Ideathon contest in the year 2020.He is a life member of ISTE, IEEE, IAENG.
Employment
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Dayananda Sagar University Assistant Professor2026 - Present
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SRM Institute of Science and Technology Assistant Professor2023 - Present
Education
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Kumaraguru College of Technology ME2015 - 2017
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Bannari Amman Institute of Technology BE2011 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (25)
- Toward Standardized Energy-Aware Adaptive Routing Protocols for Ultra-Dense 6G Networks With Integrated Satellite-Terrestrial Architectures Save
- Early Diagnosis of Mammogram Images Using Hybird Deep and Machine Learning Algorithm Save
- AI-Driven Edge Cloud Collaboration Framework With Autonomous Resource Allocation for Standardized 6G Healthcare Networks Save
- Fuzzy Computational Intelligence in Personalized Medicine and Diagnosis Save
- Multi-level brain tumor classification using hybrid coot flamingo search optimization Algorithm Enabled deep learning with MRI images Save
- AI-Powered Diagnostic Tool for Retinal Disease Detection Using Convolutional Neural Networks Save
- Deep Learning Algorithm Design for Discovery and Dysfunction of Landmines Save
- Enhanced Ensemble Classifiers for Heart Disease Prediction Save
- Interpretation of Electroencephalogram using RNNs to Predict Cognitive Disorders Save
- Optimizing Treatment Outcomes in Rheumatoid Arthritis Patients: A Data Science Approach to Analysing Multimorbidity Save