Rajakumar P.S.
Dr. M.G.R. Educational and Research Institute, Jawaharlal Nehru Technological University
Research areas: Computer Science · Information Systems · Artificial Intelligence in Healthcare · Cloud Computing and Resource Management · Internet of Things and AI
0000-0001-8735-8387
About
P. S. Rajakumar received M. Tech degree in Computer Science and Engineering (CSE) from Dr M.G.R. Educational and Research Institute, India and a PhD degree in CSE from Jawaharlal Nehru Technological University, Hyderabad, India. His distinguished career spanning 32 years of academic experience. He has published more than 75 articles which include Scopus & Web of Science (WoS). He has also published 5 books with ISBN. He holds multifarious memberships from the prominent professional bodies specifically from LMCSI, LMISTE, SMIEEE, FIEI , MACM and LMTSI. His research interest and areas are Data mining, SVM classifier, IoT, cloud computing, DL and ML. Presently he is Supervising 05 Research Scholars under Ph.D Programe , 04 Scholars Completed Their Public Viva Voce. He has won many awards and accolades during his career and presently serving as a Dean – Activities and Professor in the Department of CSE at Dr M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India.
Employment
- 2006 - Present
Education
- 2007 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (70)
- Heterogeneous Low-rank Prototype Learning for Federated Learning-based Brain Tumor Classification Save
- Cooperative Feature Classification Technique through Ensemble Factor Matching using Deep Learning Save
- Community and Stakeholder Engagement in Human-AI Learning Ecosystems Save
- DEEP LEARNING FRAMEWORK FOR AUTOMATED PATIENT–VENTILATOR ASYNCHRONY DETECTION AND CLASSIFICATION Save
- AHOP-FIP: An Adaptive Hybrid Optimized Preprocessing Framework for Uterine Fibroid Detection in Ultrasound Images Save
- Deep Learning Algorithm Based Pregnant Women Heart Disease Prediction using Heart Beats Save
- Radiographic Variability-Adaptive Structural Harmonization (RV-ASH): An Adaptive Deep Learning Framework for Robust Knee Osteoarthritis Detection and Clinical Validation Save
- SMARTVISION-AI: A UNIFIED DEEP LEARNING ARCHITECTURE FOR FACE RECOGNITION AND WEAPON DETECTION IN CCTV VIDEO STREAMS Save
- Robotic Process Automation Save
- Automated Diagnostic Imaging: Enhancing Medical Interpretations through Deep Learning Save
- Energy Efficiency Task Re-scheduling in Virtualized Cloud Computing Save
- Enhanced Early Diagnosis of Liver Diseases Using Feature Selection and Machine Learning Techniques on the Indian Liver Patient Dataset Save
- Hybrid Machine Learning Framework with Data Analytics Model for Privacy-Preserved Intelligent Predictive Maintenance in Healthcare IoT Save
- ImRA_SRNet: Improved Residual Attention-based Simple Recurrent Neural Network-based Autism Detection Using Eye Tracking Save
- Integrating Autoencoders with Recursive Elastic Tree for Enhanced Fetal Health Monitoring: A Feature Engineering and Classification Approach Save
- Robotic Process Automation Streamlining Business Processes for Operational Excellence Save
- Synthesis and Characterization of PEG-Stabilized Gold Nanoparticles for Sensitive Detection of Water Pollutants and Volatile Organic Compounds in Biomedical Applications Save
- Thermodynamic-Aware Multi-Agent Reinforcement Learning with Predictive Load Shifting for Real-Time Power Optimization and Climate Control in Phase-Change Cold Storage Systems Save
- An Improved Eyegaze Tracking Application for Early Prediction of Mental Health Using Convolution Neural Networks with Hybrid Optimization Approach Save
- Enhanced Throttled Load Balancing for Virtual Machine Allocation in Multiple Data Centers Save