R RAJA GURU

@rmkcet.ac.in

Professor, Department of Computer Science and Engineering
R.M.K.College of Engineering and Technology

R RAJA GURU


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https://researchid.co/rajaguru

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition
14

Scopus Publications

112

Scholar Citations

5

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Fed-AI: Explainable Federated Learning for Sustainable Crop Forecasting and Agro-Logistics
    Aswin Kumaran Mahesh Kannan, Raja Guru Ramaraj, Jaya Swaruba Lakshmi Mahesh Kannan
    Lecture Notes in Networks and Systems, 2026
  • Cognitive Audio Fault Detection in Railway Switching Systems Using Spectrogram-Based Transfer Learning
    M. Ramana Murugan, A. Antony Nithin, M. Karuppasamy, S. Sri Aakarshan, R. Raja Guru Ramraj
    Lecture Notes in Networks and Systems, 2026
  • Self-restrained energy grid with data analysis and blockchain techniques
    Raja Guru R, Praveen Kumar S
    Energy Sources Part A Recovery Utilization and Environmental Effects, 2025
    Efficient energy distribution and utilization play a significant role in the energy grid, especially with renewable sources. The existing grid system has problems in resource utilization, data privacy, wireless communication, and dynamic demand handling. An energy grid is proposed based on IoT, blockchain, and machine learning techniques to solve the problems. The proposed energy grid architecture controls energy flow according to the demand, predicts expected load, analyzes consumer behavior, and enables the users in the grid trade energy in peer to peer manner. Energy flow in storage modules controlled with high voltage relays, and it automates the charging and discharging of respective battery pools in the grid. Energy consumption and battery status in the grid uploaded to the distributed file system. The data clustering model deployed in the server analyses those data and divides the consumers into three groups according to the consumer’s consumption behavior: high, moderate, and low consumption. The Time series analysis model deployed to forecast the load and predict peak hours. The codes deployed as a smart contract in an Ethereum blockchain platform. Machine learning algorithms are deployed for forecasting and clustering. In forecasting, the average error rate is 37% less than other generally used algorithms, and in the clustering algorithm, the accuracy increases as the dataset increases, which is 30% more than other cluster models. The controlled energy storage model in this grid provides up to 500–600 extra charge cycles for batteries than other traditional methods. The distributed IPFS storage provides data security, and smart contracts support grid operational security and data privacy. The data analyzation module of the grid helps effective resource utilization.
  • Optimized Channel Decision and Secure Data Transmission for Health Monitoring Using Wireless Body Area Network through Cognitive Controller
    R. Raja Guru, K. Vimala Devi, P. Marichamy
    Wireless Personal Communications, 2023
  • Certificateless linkable ring signature-based blockchains for securing cognitive radio networks
    Abitha Kumari Duraisamy, Raja Guru Ramaraj, Mathankumar Manoharan, Manjunathan Alagarsamy
    Concurrency and Computation Practice and Experience, 2022
    SummaryRapid advancement in industrial applications of Internet of Things (IoT) has dramatically increased the number of Internet connected devices resulting in big challenges of scalability, adaptability, connectivity, and accessibility. Cognitive radio is efficient in handling spectrum allocation problem by facilitating the allocation of unlicensed spectrum dynamically to the IoT applications. However, cognitive radio network (CRN) capability of spectrum sensing is highly vulnerable to diversified number of security attacks. Malicious user disturbs the spectrum sensing potential and minimizes its accuracy by launching attacks during the detection of primary signal. In this article, certificateless linkable ring signature‐based blockchains (CLRSB) is proposed for securing CRNs by achieving reliable discrimination between trustworthy users through cryptographic keys. It initially transformed the complete set of users such as PUs and SUs into the structure of blocks representing the smart contracts‐based traditional public ledger blockchain that gets integrated to form a decentralized network for attaining improvement in efficient spectrum sensing. It adopted a mayfly optimization algorithm (MFOA)‐improved CNN (MFOA‐ICNN)‐based spectrum sensing method for preventing the interference between PUs and SUs during spectrum access. It also used MFOA for optimizing the features with balanced trade‐off between exploration and exploitation to identify the remarkable features that attributes toward efficient spectrum sensing. It specifically used CLRS for protecting information about the transaction initiator for the objective of protecting blockchain privacy. Simulation experiments of this CLRSB confirmed better response time and minimized frame loss on an average by 18.13% and 17.81%, better than the baseline schemes used for investigation.
  • AI and ML Powered IoT Applications for Energy Management in Electric Vehicles
    M. Mathankumar, B. Gunapriya, R. Raja Guru, A. Singaravelan, P. Sanjeevikumar
    Wireless Personal Communications, 2022
  • Spectrum selection and decision using neural and fuzzy optimization approaches
    R. Raja Guru, K. Vimala Devi, P. Marichamy
    Wireless Networks, 2022
  • An efficient dynamic key generation architecture for distributed wireless networks
    M Mathankumar, S Karthikeyani, S Gowdham Kumar, N Mahesh, N J Savitha, R Rajaguru
    Proceedings of the 3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks Icicv 2021, 2021
    Distributed wireless networks are capable of delivering solutions for countless engineering and viable applications. The sensor nodes of these wireless networks tolerate tons of limitations namely low computation capability, secured data transmission, tiny memory, fractional energy resources, etc. Within this environment any sensor node can initiate the communication over a period, hence it is imperative to enhance the reliability of data which is communicated. In a secured communication, diverse numbers of hardware devices are employed for sharing the information wirelessly. Therefore, the dynamic keys guarantee the secureness of data between the diverse numbers of user devices. Here the manuscript deals about a method of generating dynamic keys for secure communication in a distributed environment that cannot be predicted or cloned by the previous values. The dynamic keys are generated by employing a hybrid hardware of PRNG (Pseudo-Random Number Generator) and PUF (Physical Unclonable Function). A hardware platform is preferred to produce the randomly unclonable dynamic keys.
  • Autonomous unmanned aerial vehicle for post-disaster management with cognitive radio communication
    Raja Guru R., Naresh Kumar P.
    International Journal of Ambient Computing and Intelligence, 2021
    Unmanned aerial vehicles (UAV) play a significant role in finding victims affected in the post-disaster zone, where a man cannot risk his life under a critical condition of the disaster environment. The proposed design incorporates autonomous vision-based navigation through the disaster environment based on general graph theory with dynamic changes on the length between two or multiple nodes, where a node is a pathway. Camera fixed on it continuously captures the surrounding footage, processing it frame by frame on-site using image processing technique based on a SOC. Identifies victims in the zone and the pathways available for traversal. UAV uses an ultrasonic rangefinder to avoid collision with obstacles. The system alerts the rescue team if any victim detected and transmits the frames using CRN to the off-site console. UAV learns navigation policy that achieves high accuracy in real-time environments; communication using CRN is uninterrupted and useful during such emergencies.
  • COMPUTER VISION BASED AUTONOMOUS UNMANNED AERIAL VEHICLE FOR HUMAN AND OBJECT DETECTION IN POST-DISASTER ZONES
    Journal of Environmental Protection and Ecology, 2021
  • Combinatorial optimization technique for improving performance of PV modules under partial shading conditions
    Tamilarasu Viswanathan, M. Mathankumar, R. Rajaguru, C. Sasikumar
    Materials Today Proceedings, 2021
  • A hybrid spectrum sensing approach to select suitable spectrum band for cognitive users
    R Rajaguru, K. Vimala Devi, P Marichamy
    Computer Networks, 2020
  • Detection on credit card scam using self organization approach with of support virtual machine model
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Design and analysis of a two seater electric car
    International Journal of Mechanical Engineering and Technology, 2018

RECENT SCHOLAR PUBLICATIONS

  • A Hybrid Vision Transformer-CNN Framework with Temporal Modelling and Federated Learning for Robust MIMO Signal Detection in 5G/6G Systems
    RR Guru, T Vinothini, K Menaka, B Premkumar, M Lavanya
    2026 3rd International Conference on Research Methodologies in Knowledge … , 2026
    2026
  • TB-Insight: A Pathology-Aware Temporal AI Framework for Accurate Tuberculosis Identification and Continuous Disease Monitoring
    R Prabhu, RR Guru, B Mohan, M Lavanya, B Premkumar, TA Devi, ...
    2026 Third International Conference on Networking and Communications (ICNWC … , 2026
    2026
  • BlinkSpeak: An Advanced Context-Aware Deep Learning Paradigm for Eye-Blink-Based Assistive Communication on Edge Computing Devices
    P Meenadharshini, RR Guru, B Mohan, B Premkumar, M Lavanya, ...
    2026 International Conference on Future and Advanced Computing Technologies … , 2026
    2026
  • Cognitive Audio Fault Detection in Railway Switching Systems Using Spectrogram-Based Transfer Learning
    M Ramana Murugan, A Antony Nithin, M Karuppasamy, S Sri Aakarshan, ...
    IEEE International Conference on Cognitive Mobility, 165-172 , 2025
    2025
  • Fed-AI: Explainable Federated Learning for Sustainable Crop Forecasting and Agro-Logistics
    AK Mahesh Kannan, RG Ramaraj, JSL Mahesh Kannan
    IEEE International Conference on Cognitive Mobility, 159-164 , 2025
    2025
  • A Futuristic Review on Sustainable Energy Grid
    M Mathankumar, WR Babu
    2023 2nd International Conference on Advancements in Electrical, Electronics … , 2023
    2023
    Citations: 1
  • Optimized Channel Decision and Secure Data Transmission for Health Monitoring Using Wireless Body Area Network through Cognitive Controller
    R Raja Guru, K Vimala Devi, P Marichamy
    Wireless Personal Communications 128 (2), 1325-1348 , 2023
    2023
  • Certificateless linkable ring signature‐based blockchains for securing cognitive radio networks
    AK Duraisamy, RG Ramaraj, M Manoharan, M Alagarsamy
    Concurrency and Computation: Practice and Experience 34 (24), e7235 , 2022
    2022
    Citations: 6
  • AI and ML powered IoT applications for energy management in electric vehicles
    M Mathankumar, B Gunapriya, RR Guru, A Singaravelan, ...
    Wireless Personal Communications 126 (2), 1223-1239 , 2022
    2022
    Citations: 19
  • Software Architecture for Autonomous Trouble Code Diagnostics in Smart Vehicles
    R Rajaguru, M Mathankumar, T Viswanathan, M Manimaran
    Software Engineering for Automotive Systems, 73-90 , 2022
    2022
    Citations: 1
  • Spectrum selection and decision using neural and fuzzy optimization approaches
    R Raja Guru, K Vimala Devi, P Marichamy
    Wireless Networks 28 (4), 1731-1755 , 2022
    2022
    Citations: 3
  • A Review on the Therapeutic Management of COVID-19 Associated with Thrombotic Events and Coagulopathies
    R Vigneswaran, SRS Kumar, T Venkatachalam, P Kalaiselvi, ...
    Journal of Pharmaceutical Research International 34 (27B), 98-105 , 2022
    2022
  • Computer Vision Based Autonomous Unmanned Aerial Vehicle for Human and Object Detection in Post-Disaster Zones
    N PRAKASH, RR GURU, M MATHANKUMAR
    Journal of Environmental Protection and Ecology 22 (06), 2583 -2592 , 2021
    2021
    Citations: 7
  • Optimized Channel Selection Scheme Using Cognitive Radio Controller for Health Monitoring and Post-Disaster Management Applications
    KV R. Rajaguru
    Cognitive Computing Using Green Technologies: Modeling Techniques and … , 2021
    2021
  • State-of-the-Art Energy Grid with Cognitive Behavior and Blockchain Techniques
    R Rajaguru, SP Kumar, RK Prasanth
    Cognitive Computing Using Green Technologies: Modeling Techniques and … , 2021
    2021
  • An efficient dynamic key generation architecture for distributed wireless networks
    M Mathankumar, S Karthikeyani, SG Kumar, N Mahesh, NJ Savitha, ...
    2021 third international conference on intelligent communication … , 2021
    2021
    Citations: 5
  • An intelligent framework for traffic management system using narrow band-IoT
    R Rajaguru, M Mathankumar, A Balakumar, JR Dinesh Kumar, AA Stonier
    IOP Conference Series: Materials Science and Engineering 1055 (1), 012127 , 2021
    2021
    Citations: 5
  • Autonomous Unmanned Aerial Vehicle for Post-Disaster Management With Cognitive Radio Communication
    RRGPN kumar
    International Journal of Ambient Computing and Intelligence (IJACI) 12 (1 … , 2021
    2021
    Citations: 3
  • A hybrid spectrum sensing approach to select suitable spectrum band for cognitive users
    R Raja Guru, KV Devi, P Marichamy
    Computer Networks 180, 107387 , 2020
    2020
    Citations: 36
  • Combinatorial optimization technique for improving performance of PV modules under partial shading conditions
    T Viswanathan, M Mathankumar, R Raja Guru, C Sasikumar
    Materials Today: Proceedings , 2020
    2020
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • A hybrid spectrum sensing approach to select suitable spectrum band for cognitive users
    R Raja Guru, KV Devi, P Marichamy
    Computer Networks 180, 107387 , 2020
    2020
    Citations: 36
  • AI and ML powered IoT applications for energy management in electric vehicles
    M Mathankumar, B Gunapriya, RR Guru, A Singaravelan, ...
    Wireless Personal Communications 126 (2), 1223-1239 , 2022
    2022
    Citations: 19
  • Self-restrained energy grid with data analysis and blockchain techniques
    R Raja Guru, P Kumar
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects … , 2020
    2020
    Citations: 15
  • Computer Vision Based Autonomous Unmanned Aerial Vehicle for Human and Object Detection in Post-Disaster Zones
    N PRAKASH, RR GURU, M MATHANKUMAR
    Journal of Environmental Protection and Ecology 22 (06), 2583 -2592 , 2021
    2021
    Citations: 7
  • Certificateless linkable ring signature‐based blockchains for securing cognitive radio networks
    AK Duraisamy, RG Ramaraj, M Manoharan, M Alagarsamy
    Concurrency and Computation: Practice and Experience 34 (24), e7235 , 2022
    2022
    Citations: 6
  • An efficient dynamic key generation architecture for distributed wireless networks
    M Mathankumar, S Karthikeyani, SG Kumar, N Mahesh, NJ Savitha, ...
    2021 third international conference on intelligent communication … , 2021
    2021
    Citations: 5
  • An intelligent framework for traffic management system using narrow band-IoT
    R Rajaguru, M Mathankumar, A Balakumar, JR Dinesh Kumar, AA Stonier
    IOP Conference Series: Materials Science and Engineering 1055 (1), 012127 , 2021
    2021
    Citations: 5
  • Combinatorial optimization technique for improving performance of PV modules under partial shading conditions
    T Viswanathan, M Mathankumar, R Raja Guru, C Sasikumar
    Materials Today: Proceedings , 2020
    2020
    Citations: 4
  • Performance Analysis of Radio Access Techniques in Self-Configured Next Generation Wireless Networks
    KV Raja Guru R
    Advances in Natural and Applied Sciences 10 (10), 232-241 , 2016
    2016
    Citations: 4
  • Spectrum selection and decision using neural and fuzzy optimization approaches
    R Raja Guru, K Vimala Devi, P Marichamy
    Wireless Networks 28 (4), 1731-1755 , 2022
    2022
    Citations: 3
  • Autonomous Unmanned Aerial Vehicle for Post-Disaster Management With Cognitive Radio Communication
    RRGPN kumar
    International Journal of Ambient Computing and Intelligence (IJACI) 12 (1 … , 2021
    2021
    Citations: 3
  • A Survey on Cognitive Engine
    M Prabhananthakumar, R Raja Guru, S Rathnamala
    Journal of Academia and Industrial Research (JAIR) 1 (2), 73-76 , 2012
    2012
    Citations: 2
  • A Futuristic Review on Sustainable Energy Grid
    M Mathankumar, WR Babu
    2023 2nd International Conference on Advancements in Electrical, Electronics … , 2023
    2023
    Citations: 1
  • Software Architecture for Autonomous Trouble Code Diagnostics in Smart Vehicles
    R Rajaguru, M Mathankumar, T Viswanathan, M Manimaran
    Software Engineering for Automotive Systems, 73-90 , 2022
    2022
    Citations: 1
  • MAINS: Multi-Agent Intelligent Service Architecture for Cloud Computing
    TJ Devadas, S Subbulakshmi, R Raja Guru
    ICTACT Journal on Soft Computing 4 (3) , 2014
    2014
    Citations: 1
  • A Hybrid Vision Transformer-CNN Framework with Temporal Modelling and Federated Learning for Robust MIMO Signal Detection in 5G/6G Systems
    RR Guru, T Vinothini, K Menaka, B Premkumar, M Lavanya
    2026 3rd International Conference on Research Methodologies in Knowledge … , 2026
    2026
  • TB-Insight: A Pathology-Aware Temporal AI Framework for Accurate Tuberculosis Identification and Continuous Disease Monitoring
    R Prabhu, RR Guru, B Mohan, M Lavanya, B Premkumar, TA Devi, ...
    2026 Third International Conference on Networking and Communications (ICNWC … , 2026
    2026
  • BlinkSpeak: An Advanced Context-Aware Deep Learning Paradigm for Eye-Blink-Based Assistive Communication on Edge Computing Devices
    P Meenadharshini, RR Guru, B Mohan, B Premkumar, M Lavanya, ...
    2026 International Conference on Future and Advanced Computing Technologies … , 2026
    2026
  • Cognitive Audio Fault Detection in Railway Switching Systems Using Spectrogram-Based Transfer Learning
    M Ramana Murugan, A Antony Nithin, M Karuppasamy, S Sri Aakarshan, ...
    IEEE International Conference on Cognitive Mobility, 165-172 , 2025
    2025
  • Fed-AI: Explainable Federated Learning for Sustainable Crop Forecasting and Agro-Logistics
    AK Mahesh Kannan, RG Ramaraj, JSL Mahesh Kannan
    IEEE International Conference on Cognitive Mobility, 159-164 , 2025
    2025