Rajakumar Ramalingam

About

Dr R Rajakumar has more than 7 years of teaching and research experience with strong knowledge in optimization problems, wireless sensor networks, and machine learning. He completed his PhD at Pondicherry Central University, Pondicherry. He has published twelve papers within the past five years related to the execution of optimization algorithms. He has expanded his research interests using machine learning techniques. He is also an expert in executing the single objective engineering design problem using optimization algorithms. He has proposed a novel optimization algorithm, and the same has been published in an Elsevier journal with an impact factor of 10.5. He has expertise in proposing new optimization algorithms to solve complex engineering design problems. He has organized more than five international and national seminars for students and faculty to expose their knowledge of optimization algorithms.

Employment

• Vellore Institute of Technology, Chennai Associate Professor
  2023 - Present
• Madanapalle Institute of Technology and Science Associate Professor
  2019 - 2023
• Vignan's Foundation for Science, Technology and Research Assistant Professor
  2018 - 2019

Education

• Pondicherry University Ph.D
  2014 - 2019

Projects & Funding

Projects & funding information is unavailable.

Publications (44)

• CUNet-CLSTM: A Novel Fusion of CUNet and CLSTM for Superior Liver Cancer Detection in CT Scans
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3559592
  +Save
• Improved Grasshopper Optimization With Distance Vector Hop Relay Model for Effective NLOS Localization in VANETs
  International Journal of Communication Systems 2025 DOI: 10.1002/dac.70063
  +Save
• Spatio-Temporal and Semantic Enhanced Context-Aware Navigation for Indoor Robots
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3545074
  +Save
• Optimizing multimodal feature selection using binary reinforced cuckoo search algorithm for improved classification performance
  PeerJ Computer Science 2024 DOI: 10.7717/peerj-cs.1816
  +Save
• Development of a Real-Time Fault Detection Model for Hydraulic Brake Systems Using Vibration Analysis and Machine Learning With Wavelet Features
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3505254
  +Save
• Improved Crow Search-based Feature Selection and Ensemble Learning for IoT Intrusion Detection
  IEEE Access 2024 DOI: 10.1109/access.2024.3372859
  +Save
• A review on Machine Learning based IDS approaches in Wireless sensor networks
  2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS) 2023 DOI: 10.1109/icaccs57279.2023.10112982
  +Save
• Secure keys data distribution based user-storage-transit server authentication process model using mathematical post-quantum cryptography methodology
  Networks and Heterogeneous Media 2023 DOI: 10.3934/nhm.2023057
  +Save
• EECHS-ARO: Energy-efficient cluster head selection mechanism for livestock industry using artificial rabbits optimization and wireless sensor networks
  Electronic Research Archive 2023 DOI: 10.3934/era.2023158
  +Save
• An Efficient Framework to Detect Intracranial Hemorrhage Using Hybrid Deep Neural Networks
  Brain Sciences 2023 DOI: 10.3390/brainsci13030400
  +Save