Power System, Kalasalingam University, Tamil Nadu. ,June 2015
M.E: PSE, Thiagarajar College of Engineering, Madurai,Tamil Nadu. ,June 2007
B.E:EEE, Arulmigu Kalasalingam College of Engineering, Krishnankoil,Virudhunagar District, Tamil Nadu., June 1999
RESEARCH INTERESTS
Load Forecasting
Generation Expansion Planning
Soft Computing Applications in Power systems
109
Scopus Publications
5186
Scholar Citations
36
Scholar h-index
56
Scholar i10-index
Scopus Publications
The Effect of Loading Ratio on the Interface Morphology in Explosive Welding: A Review S. Debbarma, P. Kumar, S. Kumar Ghosh, S. Saravanan, K. Jayachandran, R. K. Bhogendro Meitei Combustion Explosion and Shock Waves, 2026 Abstract This review analyzes the influence of loading ratio, a principle process parameter in explosive welding, on the interface morphology, and mechanical properties of similar/dissimilar joints. The loading ratio (weight of the explosive mass/weight of the flyer plate), dictates the collision velocity, dynamic bend angle, and jet formation. It influences the nature of interface—straight, wavy, or intermetallic layer formation—thereby impacting the weldability of dissimilar metals. The judicial selection of loading ratios ensures good welding with minimal defects, while excessive or insufficient loading ratios lead to incomplete bonding or interface degradation. This article summarizes the key experimental findings and offers insights for process optimization and future research directions.
Sobel Edge Detection Framework Based Hardware-Software Co-Design FPGA Implementation for Brain MRI Image Analysis Nagabushanam Perattur, Nara Kavya, Radha Subramanyam, Mondi Vinod Kumar, Saravanan S, J. Sunitha Kumari 2026 IEEE 15th International Conference on Communication Systems and Network Technologies Csnt 2026, 2026 Image enhancements play major role in digital processing algorithms where classifying targets, features are the steps. Software implementation helps in attaining it, however by FPGA implementation reduces the execution time in the process dealing with images and quality. Edge detection is one such process which uses convolution operation and when deals with FPGA it further operates 50 % faster using parallel, pipelined architectures internally. In this work, we used sobel edge detection algorithm on brain images to detect the edges properly for dealing with brain tumor classification. Visibility increases, abnormality detected more easily with higher speed in the process. Power analysis, speed and parallelism are analyzed with CPU architecture and FPGA implementation.
Design and Validation of Super-Capacitor Assisted Photovoltaic Array for Roof-Top Solar Powered Electric Vehicle Applications Karunanithi K., S. Saravanan, Ramesh. S, S.P. Raja, S. Kannan, S.C. Vijayakumar Iraqi Journal for Electrical and Electronic Engineering, 2025 Upkeeping the Battery State-Of-Charge (SoC) and its life are of great significance in Battery Electric Vehicle (BEV) & Hybrid Electric Vehicles (HEV). This is possible by integrating Solar Photovoltaic Panels (PPs) on the Roof-top of the BEVs & HEVs. However, unlike Solar Powered Vehicle Charging stations and other PV applications where the solar panels are installed in such a way to extract the maximum Photon energy incident on the panel, vehicle Roof-top mount Solar PPs face many challenges in extracting maximum Power due to partial shading issues especially under dynamic conditions when passing under trees, high rise buildings and cloud passages. This paper proposes a new strategy called ``Super-capacitor Assisted Photovoltaic Array". In which Photovoltaic Modules are integrated with Super-capacitors to improve the transient performance of the Photovoltaic Array system. The design of proposed Super-capacitor Assisted PV array is validated & its performance is compared with conventional PV array in Matlab/ Simulink environment.
Nanotech for Sustainable Afforestation: Enhancing Soil, Water, and Plant Systems M. Kalaiyarasi, S. Karthi, Suganthi Muthusamy, Rathinam Muniraj, S. Saravanan, K. Karunanithi E3s Web of Conferences, 2025 This paper investigates the use of nanomaterials in soil enhancement, water management, and plant growth optimization for sustainable afforestation. Here, the development of nano-fertilizers with controlled nutrient release, the application of nanomaterials for soil remediation, and the implementation of smart irrigation systems equipped with nano sensors are discussed. Additionally, this paper examines how nanotechnology contributes to improving photosynthetic efficiency and enhancing stress tolerance in plants, showcasing its potential for maximizing the success of afforestation initiatives. The synthesis of current research provides valuable insights for researchers, policymakers, and environmental stakeholders involved in advancing afforestation practices through nanotechnology.
Electrochemical Spectroscopic Impedance Analysis of Solid Polymer Electrolyte-Application to Sodium Ion Batteries Kothuri Ramakrishna, P. Duraipandy, Manojkumar P, K. Mahesh, S. Saravanan, J. Shanmuga Priyan E3s Web of Conferences, 2025 Lithium ion Batteries (LIBs) is widely used and has higher electrochemical potential. Li is more expensive and has become scare due to more usage. Sodium-ion batteries (SIBs) are now being developed as a feasible alternative to lithium-ion batteries (LIBs). Sodium(Na)is three times heavier than Li and has a lower standard electrochemical potential, the built- in SIBs have a hard time outperforming than LIBs in terms of energy density, specific capacity, or rate capability. In this paper, Na-ion polymer electrolyte and electrodes are prepared by using solution casting method. Electrochemical spectroscopic impedance analysis is made on prepared Na- ion polymer Electrolyte.
A flexible privacy-preservation approach for IoTdriven smart Hospital employing diverse distribution methods G. Irin Loretta, Ashwini Settu, M. Prameela, D.S. Naga Malleswara Rao, M. Kalaiyarasi, S. Saravanan E3s Web of Conferences, 2025 Internet-based connectivity is commonplace in the modern world. Among the many uses of the Internet of Things (IoT) aimed at improving the efficacy and efficiency of municipal management, smart Hospital figure prominently. Strong privacy protection measures are necessary since IoT devices in these smart Hospital frequently gather sensitive data. Enough privacy protection isn’t offered by the smart Hospital systems now in use. Differential Privacy-Preserving Smart Hospital (DP Smart Hospital) is a novel approach that we introduce to address this. DP Smart Hospital uses Laplace or exponential distributions in differential privacy strategies to protect sensitive data generated by IoT devices. After that, the altered data is delivered to a controller, which then sends it on to an Omada Software controller, the cloud, and finally another controller for more examination. Direct uploads of non-sensitive material to the cloud. Device privacy is difficult for adversaries to undermine in this dynamic privacy-preserving environment. Because the solution only adds 10–18% overhead to IoT devices, it is appropriate for devices that can handle this extra load.
Smart Home and Security Systems: An IoTBased Approach Utilizing ESP 32 and Multisensor Integration S. Suriya Prakash, Rapaka Usha, N. Karuppiah, S. Saravanan, M. Kalaiyarasi, K. Karunanithi E3s Web of Conferences, 2025 This paper introduces an innovative IoT-based smart home and security system employing the ESP 32 microcontroller for comprehensive automation and safety. The system integrates various sensors, including a rain sensor for precipitation detection, a fire sensor for early fire warnings, a gas sensor for identifying flammable gases like LPG, and a moisture sensor to manage garden irrigation based on humidity levels. Additionally, a unique QR code calling bell system with video capability allows visitors to initiate a video call notification on the homeowner’s mobile device, facilitating remote door access. Family members can bypass the video call for seamless entry, while vehicles equipped with a QR code scanner can trigger automatic door opening via servomotors. The notification board, featuring LEDs and buzzers, ensures immediate alert delivery. This paper explores the architecture, implementation, and benefits of the proposed system, emphasizing its contribution to enhanced home security and automation.
Design and Analysis of Floating Solar Panel with SUN Position Tracking K. Guhan, K. Karunanithi, S. Saravanan, S. Ramesh, S. Adesh, Abhishek Kumar E3s Web of Conferences, 2025 With the diminishing availability of fossil fuels and the subsequent rise in their costs, alongside their significant contribution to environmental pollution and global warming, the focus has shifted towards renewable energy sources for sustainable power generation. Among these, solar photovoltaic (SPV) systems are emerging as a promising solution for future energy needs. The process of extracting or generating electricity by the use of solar energy in the solar PV system is very simple and the cost of maintenance is very low. The major drawback is the sufficient need of land to accommodate the solar panels and the associated costs are the main issues. I order to solve this problem, a floating solar PV system, a new age in solar electricity is proposed in this research. The solar PV panels can be installed on any form of water, such as a pond, river, lake, etc. The study also explores the use of adjustable solar panels that track the sun’s position to enhance system efficiency. Moreover, this floating system benefits aquatic ecosystems by reducing water evaporation and curbing algae growth, thereby improving water quality. The novelty of this research lies in the dual advantage of increased energy efficiency through sun-tracking panels and environmental sustainability by preserving aquatic ecosystems.
Brain Tumor Segmentation using Adaptive Kernel K-Means Clustering and U-Net Architecture L. T. Hemalatha, M. Kalaiyarasi, S. Saravanan 2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025, 2025 Precise segmentation of brain tumors from MRI images is essential for diagnosis and treatment planning, although it remains difficult due to tumor heterogeneity and intricate anatomical features. This research presents an efficient hybrid framework that integrates Adaptive Kernel K-Means clustering with an U-Net model to provide accurate and computationally efficient tumor segmentation. The proposed method initiates with sophisticated noise reduction and intensity normalization to improve image quality, succeeded by adaptive clustering to identify tumor areas while maintaining morphological integrity. A U-Net design subsequently enhances these initial segments, utilizing skip connections and depthwise convolutions to optimize accuracy and efficiency. Comprehensive assessments on benchmark datasets illustrate the model’s resilience, attaining state-of-the-art performance with 98.5% accuracy, 98.7% precision, and 98.3% F1-scoresubstantially surpassing traditional clustering ($65.3 \%$ accuracy) and independent CNNs (79.5% accuracy). This study integrates adaptive feature extraction with deep learning to offer a scalable solution for real-time tumor analysis, overcoming significant challenges related to computing expense and segmentation accuracy seen in current methodologies.
CNN based Optimized Autoencoder for Satellite Image Compression P. Sowmya Sri, S. Karthi, M. Kalaiyarasi, S. Saravanan 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2025, 2025
Design and Analysis of Solar PV-Fuel Cell Hybrid DC Micro grid System K.Karunanithi, M. Prameela, S.Ramesh, S.P.Raja, S. Saravanan, et al. 2nd International Conference on Research Methodologies in Knowledge Management Artificial Intelligence and Telecommunication Engineering Rmkmate 2025, 2025
DC-DC Dual Input Multiport Converter for DC Microgrid Kodipyaka Neha, R. Laxith Reddy, A. Vijay Kumar, S. Saravanan Proceedings of the 3rd IEEE International Conference on Power Electronics Intelligent Control and Energy Systems Icpeices 2024, 2024
Estimation of Deforestation Rate and Forest Land Use Land Cover Change Detection M. Kalaiyarasi, S. Saravanan, Balaji. R, S. Karthi, D S Naga Malleswara Rao, D. Nagineni Venkata Sireesha Proceedings of the International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering Iceconf 2023, 2023
Distribution Transformer Tap Setting Control using Particle Swarm Optimization Vijju Bindhu Naga Swathika Devi, Chodagam Srinivas, M V S Prem Sagar, N D V Prasad Pandalaneni, S Saravanan, Y V Balarama Krishna Rao 3rd International Conference on Electronics and Sustainable Communication Systems Icesc 2022 Proceedings, 2022
Extraction of features from ecg signal Ibrahim Patel, A. Sandhya, V. Sripathi Raja, S. Saravanan International Journal of Current Research and Review, 2021
Evolutionary algorithm tuned PID controller based nosllc-sc converter for PV application International Journal of Control and Automation, 2020
Hierarchical control of DC microgrid International Journal of Scientific and Technology Research, 2020
Analysis of effect of demand and supply side management on environmental pollution for an indian power sector International Journal of Scientific and Technology Research, 2019
Indirect two-stage solar concentrating cooking system Babu Suryawanshi, Ravi Chitgopkar, Asst. Prof. Dept. of Mechanical Engg, Hirasugar Inst. of Technology, Nidasoshi, Karnataka, India., Ibrahim Patel, Associate Professor. Dept. of ECE, B. V. Raju Inst. of Technology NarsapurMedak (Dist) Telangana, India, et al. International Journal of Recent Technology and Engineering, 2019
A survey on: De-speckling methods of SAR image M. Kalaiyarasi, S. Saravanan, B. Perumal 2016 International Conference on Control Instrumentation Communication and Computational Technologies Iccicct 2016, 2017
Hybrid renewable energy sources (HRES)-A review M. S. Pranav, K. Karunanithi, M. Akhil, S. Sara Vanan, V. M. Afsal, Akhila Krishnan 2017 International Conference on Intelligent Computing Instrumentation and Control Technologies Icicict 2017, 2017
Forecasting India's electricity demand using artificial neural network IEEE International Conference on Advances in Engineering Science and Management Icaesm 2012, 2012
RECENT SCHOLAR PUBLICATIONS
Predictive modeling and optimization of PPCCI engine emissions using signal‐to‐noise ratio and response surface methodologies S Subramani, S Manoharan, R Govindasamy, PD Kumar Environmental Progress & Sustainable Energy, e70288 , 2026 2026
One-dimensional modeling predictions on the characteristics of a CI engine with diesel and biodiesel blend S Subramani, S Manoharan, R Govindasamy, DP Kumar Chemical Industry and Chemical Engineering Quarterly, 2-2 , 2026 2026
Optimization of biodiesel powered CI engine process parameters using AHP and Taguchi grey method–A hybrid approach K Natarajan, S Subramani, R Govindasamy, PD Kumar Journal of Thermal Engineering 11 (3), 753-764 , 2025 2025 Citations: 1
Investigation on NOx control of a CI engine through the collective effect of hydrogen and biodiesel blend at modified compression ratio A Kumar, SV Ramana, B Hadya, S Subramani International Journal of Hydrogen Energy 82, 624-635 , 2024 2024 Citations: 9
Optimization of design and fuel parameters of a DI CI engine through desirability function and RSM for lower emissions and clean environment R Govindasamy, S Subramani, PD Kumar Journal of the Energy Institute 114, 101607 , 2024 2024 Citations: 8
Investigation on passenger car CRDI engine for optimization of its fuel and operating parameters for lower emissions fuelled with diesel, biodiesel and higher alcohol blends S Subramani, PD Kumar, V Jayenthiran, MS Iyamperumal Proceedings of the Institution of Mechanical Engineers, Part C: Journal of … , 2024 2024 Citations: 1
Taguchi‐based optimization of design and fuel parameters of partially premixed charge CI engine fuelled with biodiesel and butanol blends S Subramani, K Ramasamy Environmental Progress & Sustainable Energy 40 (4), e13635 , 2021 2021 Citations: 1
Optimization of injection timing and anti-oxidants for multiple responses of CI engine fuelled with algae biodiesel blend S Subramani, K Natarajan, GLN Rao Fuel 287, 119438 , 2021 2021 Citations: 22
Application of MRSN ratio and Taguchi parametric design in optimization of parameters of DI CI engine fuelled with diesel-biodiesel-higher alcohol blends S Subramani, R Govindasamy Fuel 285, 119116 , 2021 2021 Citations: 11
Numerical optimization of design and fuel factors and development of a statistical model for the emission control of DI CI engine R Govindasamy, S Subramani Fuel 281, 118656 , 2020 2020 Citations: 2
Investigation on reduction in consequences of adding antioxidants into the algae biodiesel blend as a CI engine fuel S Saravanan, N Krishnamoorthy Fuel 276, 117993 , 2020 2020 Citations: 27
Prediction and optimization of engine characteristics of a DI diesel engine fueled with cyclohexanol/diesel blends K Gopal, AP Sathiyagnanam, B Rajesh Kumar, D Damodharan, ... Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 42 … , 2020 2020 Citations: 77
Comparative account of the effects of two high carbon alcohols (C5 & C6) on combustion, performance and emission characteristics of a DI diesel engine MV De Poures, K Gopal, AP Sathiyagnanam, B Rajesh Kumar, D Rana, ... Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 42 … , 2020 2020 Citations: 67
Predictive correlations for NOx and smoke emission of DI CI engine fuelled with diesel-biodiesel-higher alcohol blends-response surface methodology approach S Subramani, R Govindasamy, GLN Rao Fuel 269, 117304 , 2020 2020 Citations: 58
Effect of design parameters on performance and emissions of a CI engine operated with diesel-biodiesel-higher alcohol blends S Saravanan, R Kaliyanasunder, BR Kumar, GLN Rao Renewable Energy 148, 425-436 , 2020 2020 Citations: 40
Combined effect of oxygenates and injection timing for low emissions and high performance in a diesel engine using multi-response optimisation BR Kumar, S Saravanan, K Rajaram Alexandria Engineering Journal 58 (2), 625-636 , 2019 2019 Citations: 15
Using renewable n-octanol in a non-road diesel engine with some modifications MV De Poures, S AP, D Rana, RK Babu, S Subramani, ... Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 41 … , 2019 2019 Citations: 79
Comparison of combustion characteristics of an automotive CRDI engine with conventional HCV engine S Saravanan, KP Durai, IM Sundaram International Journal of Oil, Gas and Coal Technology 21 (3), 390-405 , 2019 2019 Citations: 4
Utilization of waste cooking oil in a light-duty DI diesel engine for cleaner emissions using bio-derived propanol R Dhanasekaran, S Ganesan, BR Kumar, S Saravanan Fuel 235, 832-837 , 2019 2019 Citations: 103
Effective utilization of waste plastic oil in a direct injection diesel engine using high carbon alcohols as oxygenated additives for cleaner emissions D Damodharan, AP Sathiyagnanam, D Rana, S Saravanan, BR Kumar, ... Energy Conversion and Management 166, 81-97 , 2018 2018 Citations: 171
MOST CITED SCHOLAR PUBLICATIONS
Use of higher alcohol biofuels in diesel engines: a review BR Kumar, S Saravanan Renewable and Sustainable Energy Reviews 60, 84-115 , 2016 2016 Citations: 756
Effect of exhaust gas recirculation (EGR) on performance and emissions of a constant speed DI diesel engine fueled with pentanol/diesel blends S Saravanan Fuel 160, 217-226 , 2015 2015 Citations: 311
Effects of iso-butanol/diesel and n-pentanol/diesel blends on performance and emissions of a DI diesel engine under premixed LTC (low temperature combustion) mode BR Kumar, S Saravanan Fuel 170, 49-59 , 2016 2016 Citations: 241
Extraction and characterization of waste plastic oil (WPO) with the effect of n-butanol addition on the performance and emissions of a DI diesel engine fueled with WPO/diesel … D Damodharan, AP Sathiyagnanam, D Rana, BR Kumar, S Saravanan Energy conversion and management 131, 117-126 , 2017 2017 Citations: 204
1-Hexanol as a sustainable biofuel in DI diesel engines and its effect on combustion and emissions under the influence of injection timing and exhaust gas recirculation (EGR) MV De Poures, AP Sathiyagnanam, D Rana, BR Kumar, S Saravanan Applied Thermal Engineering 113, 1505-1513 , 2017 2017 Citations: 200
Combined influence of injection timing and EGR on combustion, performance and emissions of DI diesel engine fueled with neat waste plastic oil D Damodharan, AP Sathiyagnanam, D Rana, BR Kumar, S Saravanan Energy conversion and management 161, 294-305 , 2018 2018 Citations: 197
A comparative analysis on combustion and emissions of some next generation higher-alcohol/diesel blends in a direct-injection diesel engine BR Kumar, S Saravanan, D Rana, A Nagendran Energy conversion and management 119, 246-256 , 2016 2016 Citations: 197
Effect of a sustainable biofuel–n-octanol–on the combustion, performance and emissions of a DI diesel engine under naturally aspirated and exhaust gas recirculation (EGR) modes BR Kumar, S Saravanan, D Rana, V Anish, A Nagendran Energy Conversion and Management 118, 275-286 , 2016 2016 Citations: 185
Effective utilization of waste plastic oil in a direct injection diesel engine using high carbon alcohols as oxygenated additives for cleaner emissions D Damodharan, AP Sathiyagnanam, D Rana, S Saravanan, BR Kumar, ... Energy Conversion and Management 166, 81-97 , 2018 2018 Citations: 171
Prediction of emissions and performance of a diesel engine fueled with n-octanol/diesel blends using response surface methodology K Gopal, AP Sathiyagnanam, BR Kumar, S Saravanan, D Rana, ... Journal of Cleaner Production 184, 423-439 , 2018 2018 Citations: 142
Combined effect of injection timing and exhaust gas recirculation (EGR) on performance and emissions of a DI diesel engine fuelled with next-generation advanced biofuel–diesel … BR Kumar, S Saravanan, D Rana, A Nagendran Energy conversion and management 123, 470-486 , 2016 2016 Citations: 141
Combustion characteristics of a stationary diesel engine fuelled with a blend of crude rice bran oil methyl ester and diesel S Saravanan, G Nagarajan, GLN Rao, S Sampath Energy 35 (1), 94-100 , 2010 2010 Citations: 133
A comparative assessment of ternary blends of three bio-alcohols with waste cooking oil and diesel for optimum emissions and performance in a CI engine using response surface … V Krishnamoorthy, R Dhanasekaran, D Rana, S Saravanan, BR Kumar Energy Conversion and Management 156, 337-357 , 2018 2018 Citations: 131
Partially premixed low temperature combustion using dimethyl carbonate (DMC) in a DI diesel engine for favorable smoke/NOx emissions BR Kumar, S Saravanan Fuel 180, 396-406 , 2016 2016 Citations: 128
Combined effect of injection timing, EGR and injection pressure in NOx control of a stationary diesel engine fuelled with crude rice bran oil methyl ester S Saravanan, G Nagarajan, S Sampath Fuel 104, 409-416 , 2013 2013 Citations: 122
Correlation for thermal NOx formation in compression ignition (CI) engine fuelled with diesel and biodiesel S Saravanan, G Nagarajan, S Anand, S Sampath Energy 42 (1), 401-410 , 2012 2012 Citations: 109
A sustainable and eco-friendly fueling approach for direct-injection diesel engines using restaurant yellow grease and n-pentanol in blends with diesel fuel R Dhanasekaran, V Krishnamoorthy, D Rana, S Saravanan, A Nagendran, ... Fuel 193, 419-431 , 2017 2017 Citations: 104
Utilization of waste cooking oil in a light-duty DI diesel engine for cleaner emissions using bio-derived propanol R Dhanasekaran, S Ganesan, BR Kumar, S Saravanan Fuel 235, 832-837 , 2019 2019 Citations: 103
Feasibility study of crude rice bran oil as a diesel substitute in a DI-CI engine without modifications S Saravanan, G Nagarajan, GLN Rao, S Sampath Energy for Sustainable Development 11 (3), 83-92 , 2007 2007 Citations: 91
Optimization of DI diesel engine parameters fueled with iso-butanol/diesel blends–response surface methodology approach S Saravanan, BR Kumar, A Varadharajan, D Rana, B Sethuramasamyraja Fuel 203, 658-670 , 2017 2017 Citations: 90