Dr.R.Saravanan

@veltechmultitech.org

Professor Department of Computer Science and Engineering
VelTechMultiTech Dr.Rangarajan Dr.Sagunthala Engineering College

Dr.R.Saravanan


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https://researchid.co/shreesaravanan
29

Scopus Publications

1245

Scholar Citations

17

Scholar h-index

37

Scholar i10-index

Scopus Publications

  • Hybrid Artificial Intelligence-based Computational Fluid Dynamics model for optimizing Offshore Wind Farm aerodynamics under variable marine climate conditions
    Hayder M. Ali, Rachel Nallathamby, Saravanan Ramaiah, Radhika Rani Chintala, Aseel Smerat, Temur Eshchanov, Bekzod Madaminov, Sudhakar Sengan
    Clean Energy Science and Technology, 2026
    Aerodynamic optimization of Offshore Wind Farms (OWF) is challenged by nonlinear wake interactions, turbulence transport, and stochastic Marine Climate Conditions (MCC). High-fidelity Computational Fluid Dynamics (CFD) models capture these dynamics accurately but impose prohibitive computational costs for large-scale optimization. Analytical wake models offer computational efficiency but oversimplify complex turbulence interactions. This study presents a hybrid Artificial Intelligence (AI)-CFD that integrates Deep Neural Network (DNN) surrogates with selective CFD validation to enable efficient, robust optimization under MCC. The model employs unsteady Reynolds-averaged Navier-Stokes simulations with actuator-line turbine representation to generate training data, which are used to train an ensemble surrogate model incorporating dimensionally reduced climate states. Uncertainty-driven adaptive sampling triggers CFD validation for high-uncertainty configurations, maintaining physical fidelity while accelerating optimization. A multi-objective evolutionary algorithm (NSGA-II) optimizes turbine layout, yaw angles, and pitch controls to balance power generation, wake losses, and structural loading. Validation on an 80-turbine, 320 MW wind farm in Dhanushkodi, Tamil Nadu, sea proves 7.8% power improvement, 23.5% wake-loss reduction, and 11.2% network load decrease compared to the baseline, with 7.2× computational speedup vs. CFD-only optimization. Sensitivity analyses confirm robustness across wind speeds (6–12 m·s−1), turbulence intensities (5–15%), and inflow directions (0–30°). The model establishes a scalable methodology for optimizing OWF under realistic MCC.
  • Weight Optimized Genetic Algorithm Driven Machine Learning Models for Robust Digital Video Watermarking Methods
    Ali Mahmoud Ali, Rajkumar N, Saravanan R, Anusha Papasani, Saravanan G, Shanthi Latha K
    Journal of Machine and Computing, 2025
    Video piracy is increasing due to the standard implementation of online streaming services and storage solutions, posing significant concerns about the security of multimedia content and Intellectual Property Rights (IPR). Digital Watermarking (DW) is a revolutionary technology that enables multimedia IPR by hiding and securing intellectual property from cyberattacks. DW is now recognized as the primary point of study for data verification and IPR security measures. Watermarks are hidden tags used to detect IPR crimes and authenticate data reliability. The Least Significant Bit (LSB) to DVW is proposed to enhance data source verification, thereby increasing the possibility of reducing Mean Square Error (MSE). A Genetic Algorithm (GA) is employed to mitigate the adverse effects of LSB while enhancing the Peak Signal-to-Noise Ratio (PSNR), a crucial metric of watermarking quality. This research work employs statistical methods and experiments to analyze the difficulty of computation, accuracy, resource utilization, speed, and endurance as metrics for performance. With PSNRs exceeding 45.19 dB, the method demonstrates robustness against background noise, filtering, and video encoding. With empirical findings from experiments demonstrating a 75% Normalized Cross-Correlation (NCC), 97.89% training accuracy, and 96.78% validation accuracy, the proposed method outperforms hiding and security methods in terms of accuracy.
  • Empowering the Tribal people with the use of big data processing expert system in animal Husbandry and Poultry Farming application
    R. Saravanan, V. Nehru, S. Muthuselvi
    2023 IEEE International Conference on Research Methodologies in Knowledge Management Artificial Intelligence and Telecommunication Engineering Rmkmate 2023, 2023
    The population of the tribal people has been decreased day by day in India due to the lack of awareness in health related issues and there is a series challenges in their sustainable livelihood. The Particularly Vulnerable People from tribal groups (PVTGs) engaged in animal husbandry and poultry farming as their primary source of income, which improves their standard of living. Maintain and safeguard poultry and animals from diseases is a cumbersome process. Providing enough medical facility is still a challenging task due to the geographical location and unavailability of the infrastructure and human resources. The proposed framework uses Apache Kafka-Apache Storm-NoSQL Mongo DB architecture to process enormous volume of sensor data in real time and it receives the sensor data and uses it to create the various disease identification models. The processed data are stored in Mongo DB as a historical data. The system provides a Web-based monitoring system for continuos monitoring the health conditions of cattles and poultry through the Smart Health Care Centre. Smartness in operation is performed through System on Chip (SoC) IoT system, the proposed big data expert system model transcends from the traditional functionalities of disease identification by the real time field visit analysis by the medical professionals. The proposed system is more suitable for the remote hill area. Smart Health Care system improves the disease identification accuracy and provides a powerful Big Data architecture for data analytics and data storage. The big data expert system frame work is underwent successful functional testing of "SoC-IoT smart devices" connected with the network and the performance of the network in terms of CPU, memory usage and the network delay is analyzed. Further the frame work uses the big data processing with the machine learning approach "Hybrid diseases identification Model" with the combination of DBSCAN for outlier detection together with Random Forest classification, which improves the disease identification accuracy of the various disease attacked the cattles and poultry.
  • Smart Pregnancy Monitoring and Data Analyzing System for Rural Woman
    R. Saravanan, S. Palanikumar, M. Lenin Kumar
    2023 IEEE International Conference on Research Methodologies in Knowledge Management Artificial Intelligence and Telecommunication Engineering Rmkmate 2023, 2023
    Monitoring pregnancy woman health is continuos and vital process. Approximately 830 women die a day from pregnancy-related causes in India. In developing countries, still more number of maternal death is happening and the medical information is not centralized for sharing. In rural areas, there is a lack of adequate facilities to the pregnant women for their routine checkup and this ends up with a higher infant and maternal death rate. The resulting health issue is a challenge to rural community people. With the recent developments in the IoT based technology, pregnant women are continuously monitored through suitable sensors. The sensor data are streamed to the centralized server through wireless technology for monitoring and performing data analytics. The proposed work utilizes an acceleration wireless sensor to observe the live movement of the fetus, along with scanned ultrasound images. Other vital parameters including movement sign, pulse, pressure, SPO2, sleep, count the amount of kicks of the unborn baby, and measuring the ECG pattern of the pregnant women. The goal of the proposed work is to effectively monitor the health condition of pregnant woman through sensors and if any abnormality is being observed, it will send an early warning message to the medical professional. In the proposed architecture, a massive amount of unstructured sensor data is collected through microcontrollers and the data are streamed to Apache Kafka and stored in MongoDB. Results shows that, a complete pregnant woman monitoring system is developed and data analytics can be performed, which enable the medical professional and other recipient to monitor pregnant women's activities from anywhere at any time. In the case of emergency, an email / SMS notifications send to the doctor and other recipients.
  • IoT Based Smart Framework Monitoring System for Power Station
    Arodh Lal Karn, Panneer Selvam Manickam, R. Saravanan, Roobaea Alroobaea, Jasem Almotiri, Sudhakar Sengan
    Computers Materials and Continua, 2023
    Power Station (PS) monitoring systems are becoming critical, ensuring electrical safety through early warning, and in the event of a PS fault, the power supply is quickly disconnected. Traditional technologies are based on relays and don’t have a way to capture and store user data when there is a problem. The proposed framework is designed with the goal of providing smart environments for protecting electrical types of equipment. This paper proposes an Internet of Things (IoT)-based Smart Framework (SF) for monitoring the Power Devices (PD) which are being used in power substations. A Real-Time Monitoring (RTM) system is proposed, and it uses a state-of-the-art smart IoT-based System on Chip (SoC) sensors, a Hybrid Prediction Model (HPM), and it is being used in Big Data Processing (BDP). The Cloud Server (CS) processes the data and does the data analytics by comparing it with the historical data already stored in the CS. No-Structural Query Language Mongo Data Base (MDB) is used to store Sensor Data (SD) from the PSs. The proposed HPM combines the Density-Based Spatial Clustering of Applications with Noise (DBSCAN)-algorithm for Outlier Detection (OD) and the Random Forest (RF) classification algorithm for removing the outlier SD and providing Fault Detection (FD) when the PD isn’t working. The suggested work is assessed and tested under various fault circumstances that happened in PSs. The simulation outcome proves that the proposed model is effective in monitoring the smooth functioning of the PS. Also, the suggested HPM has a higher Fault Prediction (FP) accuracy. This means that faults can be found earlier, early warning signals can be sent, and the power supply can be turned off quickly to ensure electrical safety. A powerful RTM and event warning system can also be built into the system before faults happen.
  • Security Concerns and Remedial Measures in MANETs Using Intrusion Detection
    Suresh Kumar V, Rajesh Khanna M, Saravanan R
    Ecs Transactions, 2022
    In this research paper, we discussed the guaranteed reliable communication between nodes by constructing the black hole attack free route in MANET. To achieve this, a Hybrid Intrusion Detection System (HIDS) technique has been proposed to detect and remove the black hole attack nodes in the routing path. In MANETs, a novel cluster leader election process has been proposed. This election process is based on the node with maximum energy level. One of the important functionality is security in MANET. Due to many different attacks in the routing path, MANET becomes unsecure. Understanding the form of attacks is always the main step towards the secured communication between mobile nodes. Routing protocols are significant to guarantee proper functioning of the path from source to destination nodes. This preserves the security of MANET from attacks.
  • Lifetime Improvement of Wireless Sensor Networks Using Tree-Based Routing Protocol
    Sushaptha Rajagopal, R. Vani, J. C. Kavitha, R. Saravanan
    Eai Springer Innovations in Communication and Computing, 2020
  • Enhanced intrusion detection and prevention system on cloud environment using hybrid classification and OTS generation
    V. Balamurugan, R. Saravanan
    Cluster Computing, 2019
  • An Efficient Fuzzy-Based Hybrid System to Cloud Intrusion Detection
    Sivakami Raja, Saravanan Ramaiah
    International Journal of Fuzzy Systems, 2017
  • An efficient fuzzy self-classifying clustering based framework for cloud security
    Sivakami Raja, Jaiganesh M., Saravanan Ramaiah
    International Journal of Computational Intelligence Systems, 2017
    Though cloud computing has become an attractive technology due to its openness and services, it brings several security hazards towards cloud storage. Since the distributed nature of clouds is achieved through internetworking technologies, clouds suffer from all the vulnerabilities by which networking also suffers. In essence, data stored in clouds are vulnerable to attacks from intruders. But, no single technique can provide efficient intrusion detection. In this paper, we propose fuzzy self-classifying clustering based cloud intrusion detection system which is intelligent to gain knowledge of fuzzy sets and fuzzy rules from data to detect intrusions in a cloud environment. Its efficiency is explained by comparing with other three cloud intrusion detection systems. Using a standard benchmark data from a CIDD (Cloud Intrusion Detection Dataset), experiments are conducted and tested. The results are presented in terms of success rate accuracy.
  • Performance of low power BIST architecture for UART
    V. Thirunavukkarasu, R. Saravanan, V. Saminadan
    International Conference on Communication and Signal Processing Iccsp 2016, 2016
  • 2S-FAT-Based DLS Model for Cloud Environment
    Sivakami Raja, Saravanan Ramaiah
    Arabian Journal for Science and Engineering, 2016
  • Low interaction honeypot: A defense against cyber attacks
    M. S Durairajan, R Saravanan, S. Sibi Chakkaravarthy
    Journal of Computational and Theoretical Nanoscience, 2016
  • Interfacial microstructure and optimization of friction welding by Taguchi and ANOVA method on SA 213 tube to SA 387 tube plate without backing block using an external tool
    S. Pandiarajan, S. Senthil Kumaran, L.A. Kumaraswamidhas, R. Saravanan
    Journal of Alloys and Compounds, 2016
  • CCDEA: Consumer and cloud - DEA based trust assessment model for the adoption of cloud services
    Sivakami Raja, Saravanan Ramaiah
    Cybernetics and Information Technologies, 2016
  • Performance comparison of neuro-fuzzy cloud intrusion detection systems
    International Arab Journal of Information Technology, 2016
  • Markov-trivial similarity tree-based ontology model for geospatial information retrieval systems for grid computing
    Asian Journal of Information Technology, 2016
  • Markov-ttrivial similarity tree-based ontology model for geospatial information retrieval systems
    Asian Journal of Information Technology, 2016
  • Tbann: Tree bagger algorithm with neural network-based hyperspectral images classification
    Asian Journal of Information Technology, 2016
  • Implementation of a low power LDPC decoder using bit serial architecture
    M. Revathy, R. Saravanan
    2014 International Conference on Information Communication and Embedded Systems Icices 2014, 2015
  • Multispectral technologies in geospatial grid environment
    International Journal of Applied Engineering Research, 2015
  • Hybrid LDPC decoder for high error detection and correction applications
    International Journal of Applied Engineering Research, 2015
  • Domino in adiabatic logic circiuits for brain tumor in MRI signal processing
    Journal of Pure and Applied Microbiology, 2015
  • LDPC decoder based on superimposing of bit streams for low power applications
    International Journal of Applied Engineering Research, 2015
  • Analytical modeling of dual material surrounding gate TFET to reduce short-channel effects for low power applications
    International Journal of Applied Engineering Research, 2015
  • Performance analysis of high efficiency low density parity-check code decoder for low power applications
    Revathy
    American Journal of Applied Sciences, 2014
  • Biometrics based key generation using diffie hellman key exchange for enhanced security mechanism
    International Journal of Chemtech Research, 2014
  • Power optimization in domino circuits using current mirror based leakage compensating keeper
    P. Karthikeyan, R. Saravanan, N. Saravanan
    Applied Mechanics and Materials, 2014
  • Design of register element for low power clocking system
    Information Japan, 2014

RECENT SCHOLAR PUBLICATIONS

  • Nanoencapsulation of Mushroom-Derived Bioactives for Targeted Delivery
    R Saravanan, GC Jeevitha, NA Nanje Gowda
    Mushroom Bioactives: Bridging Food, Biotechnology, and Nanotechnology for … , 2025
    2025
  • Health risks due to geogenic and anthropogenic influences on groundwater quality in Southern India's hard rock terrain
    B Preethi, T Subramani, R Saravanan, P Gopinathan, Z Huang, B Kumar
    Journal of Geochemical Exploration 274, 107762 , 2025
    2025
    Citations: 18
  • Performance Evaluation of Classification Models for Respiratory Disease Detection Using Wiener-Ville Distribution Features
    M Kalaiyarasi, H Rajaguru, R Saravanan, R Karthikamani
    2025 Fourth International Conference on Smart Technologies, Communication … , 2025
    2025
  • Performance Assessment of Machine Learning Classifiers for Detecting Heart Rate Variations from PPG Signals
    M Kalaiyarasi, H Rajaguru, R Saravanan
    2025 Fourth International Conference on Smart Technologies, Communication … , 2025
    2025
  • Modified Gannet Optimization Algorithm Based Enhanced Entropy Energy Detection Technique for Spectrum Sensing in Cognitive Radio Networks
    R Saravanan, M Rajappa, R Amirtharajan
    Wireless Personal Communications 140 (3), 833-852 , 2025
    2025
    Citations: 3
  • Energy, Exergy, Entropy, Emission Factors (4E’s) and Sustainability Index analyses of thermal splintering waste paraffin Oil, di-ethyl ether− diesel blends
    R Saravanan, PN Krishnan, M Rengasamy, V Manieniyan
    Ain Shams Engineering Journal 16 (1), 103190 , 2025
    2025
    Citations: 4
  • Ovarian cancer detection using microarray gene data and deep learning techniques
    MS Kumar, M Kalaiyarasi, R HariKumar, R Saravanan
    2024 8th International Conference on Electronics, Communication and … , 2024
    2024
    Citations: 1
  • Modified Black Widow Optimization-Based Enhanced Threshold Energy Detection Technique for Spectrum Sensing in Cognitive Radio Networks.
    R Saravanan, R Muthaiah, A Rajesh
    Computer Modeling in Engineering & Sciences (CMES) 138 (3) , 2024
    2024
    Citations: 4
  • AN ANALYTICAL STUDY ON VARIOUS FIELD DEFECTS IN PATIENTS WITH PRIMARY OPEN-ANGLE GLAUCOMA
    RIS Rani, V Saranya, R Saravanan, D Murugan
    Int J Acad Med Pharm 6 (1), 1822-1825 , 2024
    2024
  • Sustainable approach for utilization of mango peel wastes for pectin extraction by natural deep eutectic solvents
    R Saravanan, GC Jeevitha
    Journal of Food Processing and Preservation 2024 (1), 4540390 , 2024
    2024
    Citations: 5
  • Non-thermal processing as a preservation tool for health-promoting beverages
    GC Jeevitha, R Saravanan, A Mittal, SV Kumar
    Discover Food 3 (1), 26 , 2023
    2023
    Citations: 15
  • Recent advances in extraction methodologies for the valorization of mango peel wastes
    GC Jeevitha, S Ramamoorthy, F Ahmad, R Saravanan, S Haque, ...
    International Journal of Food Properties 26 (2), 3492-3511 , 2023
    2023
    Citations: 40
  • Smart Pregnancy Monitoring and Data Analyzing System for Rural Woman
    R Saravanan, S Palanikumar, ML Kumar
    2023 International Conference on Research Methodologies in Knowledge … , 2023
    2023
    Citations: 1
  • A Rare Case of Optic Nerve Sheath Meningioma
    S Yellaturi, S Perumal, S Velayutham, M Jeyaraj, V Kannan
    Bengal Physician Journal 10 (2), 55-58 , 2023
    2023
  • Exploring the cutting-edge properties of 3-nitrophthalic acid single crystal: growth, structure, optical and quantum chemical studies
    KS Ramesh, M Saravanakumar, R Saravanan, M Kumar, JH Chang, ...
    Journal of Materials Science: Materials in Electronics 34 (24), 1726 , 2023
    2023
    Citations: 10
  • Impact on Emissions Combustion and Performance of Diesel Engine Using Blends of Di Ethyl Ether with Cracked Transformer Oil
    R Saravanan, P NavaneethaKrishnan, M Rengasamy, V Manieniyan
    2023
  • Atrial myxoma causing stroke
    NS PS, S Kondapally, S Velayudham, M Krishnan
    Bengal Physician Journal 10 (1), 9-12 , 2023
    2023
    Citations: 2
  • Subhyaloid Hemorrhage: A Rare Manifestation of CVT
    M Vijay, SS Velayutham, PR Sowmini, KM Jeyaraj, RV Saravanan, ...
    Neurology India 71 (3), 607-608 , 2023
    2023
  • Intramedullary cervical cord sarcoidosis–a rare case
    S Kondapally, S Sakthivelayutham, M Kamalakannan, PR Sowmini, ...
    Neurology India 71 (2), 392-394 , 2023
    2023
    Citations: 1
  • Diabetic Pyomyositis: An Unusual Cause of Painful Thigh
    M Krishnan, M Kamalakannan, U Budumuru, KM Jeyaraj, PR Sowmini, ...
    Bengal Physician Journal 9 (3), 77-79 , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • Enhanced intrusion detection and prevention system on cloud environment using hybrid classification and OTS generation
    V Balamurugan, R Saravanan
    Cluster Computing 22 (Suppl 6), 13027-13039 , 2019
    2019
    Citations: 112
  • Matched filter based spectrum sensing on cognitive radio for OFDM WLANs
    S Shobana, R Saravanan, R Muthaiah
    International Journal of Engineering and Technology 5 (1), 142-146 , 2013
    2013
    Citations: 85
  • Spectrum sensing review in cognitive radio
    K Seshukumar, R Saravanan, MS Suraj
    2013 International Conference on Emerging Trends in VLSI, Embedded System … , 2013
    2013
    Citations: 61
  • Interfacial microstructure and optimization of friction welding by Taguchi and ANOVA method on SA 213 tube to SA 387 tube plate without backing block using an external tool
    Pandiarajan, S., Senthil Kumaran, S., Kumaraswamidhas, L.A., Saravanan., . R.
    JOURNAL OF ALLOYS AND COMPOUNDS 654 (1), 534-545 , 2016
    2016
    Citations: 58
  • An efficient fuzzy-based hybrid system to cloud intrusion detection
    S Raja, S Ramaiah
    International Journal of Fuzzy Systems 19 (1), 62-77 , 2017
    2017
    Citations: 47
  • Recent advances in extraction methodologies for the valorization of mango peel wastes
    GC Jeevitha, S Ramamoorthy, F Ahmad, R Saravanan, S Haque, ...
    International Journal of Food Properties 26 (2), 3492-3511 , 2023
    2023
    Citations: 40
  • P systems for array generation and application to kolam patterns
    KG Subramanian
    Forma 22 (1), 47-54 , 2007
    2007
    Citations: 38
  • Cognitive radio spectrum sensing algorithms based on eigenvalue and covariance methods
    KS Kumar, R Saravanan, R Muthaiah
    Int. J. Eng. Technol 5 (2), 385-395 , 2013
    2013
    Citations: 37
  • Recombinant flagellin and its cross-talk with lipopolysaccharide–Effect on pooled chicken peripheral blood mononuclear cells
    SK Gupta, R Deb, S Gaikwad, R Saravanan, CM Mohan, S Dey
    Research in veterinary science 95 (3), 930-935 , 2013
    2013
    Citations: 36
  • Synthesis and microbial evaluation of copper (II) complexes of Schiff base ligand derived from 3-methoxysalicylaldehyde with semicarbazide and thiosemicarbazide
    K Jayanthi, RP Meena, K Chithra, S Kannan, W Shanthi, R Saravanan, ...
    Journal of Pharmaceutical, Chemical and Biological Sciences 5 (3), 205-215 , 2017
    2017
    Citations: 34
  • Anti-inflammatory effect of ethanolic extract of spine, skin and rind of Jack fruit peel–A comparative study
    M Meera, A Ruckmani, R Saravanan, R Lakshmipathy Prabhu
    Natural product research 32 (22), 2740-2744 , 2018
    2018
    Citations: 32
  • Biodegradation and decolourization of biomethanated distillery spent wash
    R Ravikumar, R Saravanan, NS Vasanthi, J Swetha, N Akshaya, ...
    Indian Journal of Science and Technology 1 (2), 1-6 , 2007
    2007
    Citations: 27
  • Bilateral scalp necrosis as a rare but devastating complication of giant cell arteritis
    Q Akram, S Knight, R Saravanan
    Clinical rheumatology 34 (1), 185-187 , 2015
    2015
    Citations: 23
  • Automated EB billing system using GSM and ad-hoc wireless routing
    A Vijayaraj, R Saravanan
    International Journal of Engineering and Technology 2 (5), 343-347 , 2010
    2010
    Citations: 22
  • Adaptive Batch Mode Active Learning Technique Usingwith an Improved Time Adaptive Support Vector Machine for Classification of Remote Sensing Applications
    D Bright Anand, R Saravanan, R Adaline Suji
    Journal of Computational and Theoretical Nanoscience 14 (2), 1108-1113 , 2017
    2017
    Citations: 19
  • P systems with array objects and array rewriting rules
    KG Subramanian, R Saravanan, M Geethalakshmr, P Helen Chandra, ...
    Progress in Natural science 17 (4), 479-485 , 2007
    2007
    Citations: 19
  • Health risks due to geogenic and anthropogenic influences on groundwater quality in Southern India's hard rock terrain
    B Preethi, T Subramani, R Saravanan, P Gopinathan, Z Huang, B Kumar
    Journal of Geochemical Exploration 274, 107762 , 2025
    2025
    Citations: 18
  • Sequential removal of a large odontoma in the angle of the mandible
    R Saravanan, V Sathyasree, R Manikandhan, S Deepshika, K Muthu
    Annals of Maxillofacial Surgery 9 (2), 429-433 , 2019
    2019
    Citations: 17
  • Biometrics based key generation using diffie hellman key exchange for enhanced security mechanism
    Durairajan, M.S., Saravanan, R.
    International Journal of ChemTech Research 6 (9), 4359-4365 , 2014
    2014
    Citations: 16
  • Determination of financial capital structure on the insurance sector firms in India
    MAS Kumar, M Dhanasekaran, S Sandhya, R Saravanan
    European Journal of Social Sciences 29 (2), 288-294 , 2012
    2012
    Citations: 16