Suresh Muthusamy

@kongu.ac.in

Professor/Department of Electrical and Electronics Engineering
Kongu Engineering College, Perundurai



                 

https://researchid.co/suresh1

Suresh Muthusamy (also called as received bachelors degree in Electrical and Electronics Engineering, masters degree in Power Electronics and Drives during the year 2009 and 2011 from Anna University, Chennai and Anna University, Coimbatore respectively. He then completed Ph.D. degree in Electrical Engineering from Anna University, Chennai during the year 2023 in the area of hybrid renewable energy systems. He worked as Assistant Professor in the Department of Electrical and Electronics Engineering at Kongu Engineering College (Autonomous), Perundurai, Erode, during the period June 2011 to January 2020. From January 2020 onwards, he has been working as Assistant Professor Senior Grade in the Department of Electronics and Communication Engineering at Kongu Engineering College (Autonomous), Perundurai, Erode. He published more than 110 research articles in well reputed and refereed national/international journals from Elsevier, Springer, Taylor & Francis, Wiley, SAGE publish

EDUCATION

Ph.D. from Anna University, Chennai under the Faculty of Electrical Engineering
M.E. from Anna university, Coimbatore
B.E. from Anna University, Chennai

RESEARCH, TEACHING, or OTHER INTERESTS

Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology, Decision Sciences, Multidisciplinary

FUTURE PROJECTS

Hybrid Energy Systems


Applications Invited
Full time/Part time scholars
117

Scopus Publications

2075

Scholar Citations

25

Scholar h-index

51

Scholar i10-index

Scopus Publications

  • Adaptive cruise control system with fractional order ANFIS PD+I controller: optimization and validation
    Prabhakar Gunasekaran, Rajaram Sivasubramanian, Karuppasamy Periyasamy, Suresh Muthusamy, Om Prava Mishra, Ponarun Ramamoorthi, Kishor Kumar Sadasivuni, and Mithra Geetha

    Springer Science and Business Media LLC
    AbstractDesigning the control structures of fractional order PID controllers has proven to be effective in providing adaptability in set point tracing the performance of a nonlinear cruise control system. Wheel rolling resistance, wind drag force, and road gradient are incorporated into the design to better describe the system under consideration and to show how the nonlinear cruise control system behaves. This study presents a comparative investigation using simulation between control structures such as fractional order proportional–integral–derivative, fractional order integral minus proportional derivative, and fractional order proportional integral minus derivative. By preserving integral error indices as the goal function, a genetic algorithm is used to improve the controller gain parameters and fractional scaling values. To prevent integral windup conflicts and derivative boost issues, both traditional fractional order structures and adaptive neuro-fuzzy-based fractional order structures were used to create the adaptive cruise control system. The FO ANFIS PD plus I controller for the cruise control system exceeds the competition in servo and regulatory difficulties.

  • Investigation of viscoelastic behavior of Abaca-reinforced epoxy composites
    Mohan Kumar Anand Raj, Rajasekar Rathanasamy, Parameshwaran Rathinasamy, Suresh Muthusamy, Md Irfanul Haque Siddiqui, Natrayan L, Jayant Giri, and Mohd Asif Shah

    AIP Publishing
    Natural fiber-based composites demonstrate excellent and comparable static and dynamic mechanical properties to conventional materials, such as steel and aluminum. They also extend their applications to aeronautical, sports equipment, and marine fields. This experimental study aims to find the effect of untreated and treated Abaca-reinforced epoxy composites on the viscoelastic behavior and the optimum combinations of fiber and resin to produce better bonding efficiency. The different specimens used for this study were pure epoxy, untreated, and chemically treated composite specimens. The four weight percentages of Abaca fibers are 10%, 20%, 30%, and 40% used to prepare composite specimens. Similarly, four different sodium hydroxide (NaOH) concentrations, 4, 6, 8, and 10 wt. %/vol. %, have been used for the chemical treatment of fibers. The storage modulus of Abaca-reinforced epoxy composite specimen has been investigated with respect to temperature and fiber content. The result shows that the 30% weight fraction of fibers with chemically (8 wt. %/vol. %) treated fiber-reinforced epoxy specimen produces 41.67% higher storage modulus than the 10% weight fraction of fibers content of composite specimens. Fourier-Transform Infrared Spectroscopy (FTIR) broad transmittance has been used to distinguish the raw and chemically treated fibers. FTIR results reveal the removal of functional groups after NaOH treatment.

  • A novel Adaptive Neural Network-Based Laplacian of Gaussian (AnLoG) classification algorithm for detecting diabetic retinopathy with colour retinal fundus images
    Manjula Devi Ramasamy, Keerthika Periasamy, Suresh Periasamy, Suresh Muthusamy, Ponarun Ramamoorthi, Gunasekaran Thangavel, Sreejith Sekaran, Kishor Kumar Sadasivuni, and Mithra Geetha

    Springer Science and Business Media LLC

  • A Novel Design and Development of Multilevel Inverters for Parallel Operated PMSG-Based Standalone Wind Energy Conversion Systems
    Anbarasan Palani, Venmathi Mahendran, Krishnakumar Vengadakrishnan, Suresh Muthusamy, Om Prava Mishra, Ponarun Ramamoorthi, Muni Raj Maurya, and Kishor Kumar Sadasivuni

    Springer Science and Business Media LLC
    AbstractThe article presents the new power conversion for parallel-operated wind energy conversion systems. It has been formulated by new multilevel inverter (MLI) topologies with reduced switch counts, lowered conduction losses and a very good output voltage spectrum. The wind energy conversion systems included permanent magnet synchronous generator (PMSG), a diode bridge rectifier, a conventional boost converter and a novel multilevel inverter connected to an isolated load. The power conversion utilizing a novel multilevel DC to AC converter has been proven for its better efficiency, voltage utilization and power quality. The integration of wind energy conversion systems has been explored in MATLAB Simulink, and the hardware setup does the authentication of the MLI structure.

  • PV Based Multilevel Inverter Using Reduced Number of Switches with Modified H-Bridge
    Sarathkumar D, Raymon Antony Raj, Suresh Muthusamy, Logesh B, Praveenkumar K, Ratchagan P, and Santhosh Kumar K

    IEEE
    The proposed paper presents an innovative approach to enhance the efficiency and performance of photovoltaic (PV) systems through the design and analysis of a 15-level multilevel inverter. The proposed inverter topology employs a modified H-bridge configuration utilizing 12 switches, aimed at improving voltage control, reducing harmonic distortion, and enabling efficient power conversion. The modified H-bridge architecture allows for achieving 15 distinct voltage levels, enabling precise control of the output waveform. The design emphasizes optimizing the modulation strategy to effectively manage the switching of the 12 switches effectively, minimizing switching losses and ensuring an efficient energy conversion process. The resulting voltage levels contribute to better output waveform quality and reduced total harmonic distortion. Furthermore, the proposed topology offers scalability and adaptability, making it suitable for a wide range of applications, including grid-connected PV systems, motor drives, and uninterruptible power supplies. The advantages of the modified H-bridge configuration, in terms of reduced component count and enhanced controllability, contribute to the practicality and feasibility of the proposed inverter topology. The design's ability to achieve 15 voltage levels while employing a limited number of switches highlights its applicability and appeal for renewable energy integration and other relevant power electronics applications. Further experimental validation and real-world implementation are recommended to substantiate the theoretical findings and validate the practical advantages of the proposed inverter topology.

  • A new method for improving the solar photovoltaic unit efficiency through neem oil as coolant medium for high power applications—an experimental investigation
    Karthikeyan Ganesan, Satheeshkumar Palanisamy, Suresh Muthusamy, Prabha Maheswari Muthusamy, Ponarun Ramamoorthi, Ranjith Kumar Ravi, Mizaj Shabil Sha, and Kishor Kumar Sadasivuni

    Springer Science and Business Media LLC
    AbstractThe utilization of electric energy is rising in the technological world. Solar PV (photovoltaic) cells convert sunlight into electricity, and sunlight radiation also has heat, reducing the panel's efficiency. The heat should control the limited value or otherwise reduce the panel's performance so that heat is moved to the cooling medium, thus maintaining the heat within the functioning limit. The proposed method is explained by the probability of cooling the monocrystalline and polycrystalline structures used as neem oil through an integrated oil container fitted into the unit's backside—the neem oil acts as phase-changing material (PCM). The solar PV rear side neem oil absorbs the heat of the solar PV panel. The neem oil is not filled in the backside tank completely for the reason that the oil needed some breathing gap. The breathing gap of PCM is to enhance the heat-withstand efficiency. The backside neem oil is replaced every 30 min. As an outcome, the front side of solar PV heat is reduced. Neem oil has not polluted the environment and is thus also used to exchange noxious mineral oils. The neem oil moved from the depository tank to the backside of the unit and together into an additional depositor tank, thus being able to be reused. The proposed method is investigated, and functioning comparison occurs in different PV types, such as monocrystalline and polycrystalline modules, with various kinds of edible oil. Thus, the critical outcomes of the monocrystalline and polycrystalline PV panels are to decrease the panel temperature by 2.29% and 4.34%, respectively, and enhance the efficiency of the PV panels by 15.0% and 17.8%, respectively.

  • A Novel Method for Design and Development of Hybrid Land and Water Buoyancy Trash Collecting Robot
    Suresh Muthusamy, Sarathkumar Duraisamy, Meenakumari Ramachandran, Jamunadevi Karthikeyan, James Israel David, Harish Kumar Settu, and Ajith Rathinasamy

    IEEE
    Environmental pollution, especially in aquatic ecosystems, poses an important risk to the planet. The proliferation of plastic discarded in water bodies has prompted the development of innovative technologies to address this crisis. This abstract introduces a novel solution in the form of a Hybrid Land and Water Buoyancy Trash Collecting Robot. It is designed to operate both on land and in aquatic environments, providing a versatile and efficient solution for collecting and removing debris from water bodies A working version of the robot has two propellers that are coupled to two DC motors to allow for left, right, and forward motion. Robot control with an application-based WIFI control system remotely and with a robotic hand to facilitate the collection of rubbish. A system of conveyor belts directing the garbage to the collecting box and a protective sensor organization besides the overindulgence of information. The prototype itself uses just 12 volts of battery power to clear an area of around 1500 square centimeters and gather rubbish up to 7 kilograms in weight. The robot can operate continuously for two hours without requiring a charge. The collected waste is then securely stored and can be later transferred to disposal facilities for proper recycling or disposal.

  • Performance analysis of evacuated tubes with thermosyphon heat pipe solar collector integrated with compound parabolic concentrator under different operating conditions
    Kumaresan Govindasamy, Vijayakumar Palanivel, Radhey Shyam Meena, Suresh Muthusamy, Hitesh Panchal, Mohd. Asif Shah, and Md Irfanul Haque Siddiqui

    SAGE Publications
    The present work experimentally evaluated the performance of a solar collector comprised evacuated tube heat pipe (ETHP) coupled with a compound parabolic concentrator at different tilt angles. Therefore, experiments have been conducted in the climate conditions of Tamil Nadu (77.07° E,11.04° N), India, from April 15, 2019, to May 20, 2019. The objective of the work is to explore the effect of a tilting angle on the performance of an evacuated tube solar collector with a thermosyphon attached to the compound parabolic concentrator. The CPC is designed with an aperture width of 343 mm, concentration ratio of 2.32, and aperture angle of 25.4°, improving the solar collector efficiency with the help of MATLAB Programming, which gets Coordinate points based on these coordinate points. CPC Profile is fabricated. The Thermosyphon heat pipe is constructed with a Copper tube having a 19 mm diameter with 40% Acetone charged. The experiments were conducted by varying the tilting angles of the solar collector at 15°, 30°, 45°, and 60° horizontal. The heat resistance and instantaneous efficiency of the solar collector are studied in this study. The result reveals a minimum thermal resistance of 0.02 kW−1, and a maximum efficiency of 78% was recorded at a 45° tilting angle.

  • A Novel Method for Prediction and Analysis of COVID 19 Transmission Using Machine Learning Based Time Series Models
    Suman Mann, Deepshikha Yadav, Suresh Muthusamy, Dhruv Rathee, and Om Prava Mishra

    Springer Science and Business Media LLC

  • Investigation on 1-Propanol Electronic mode of fumigation on diesel engine performance and emission Fueled with diesel and lemongrass biodiesel blend using AHP- COPRAS
    Vijayakumar Manivasagam, Prasanna Narayanan, Naveen Kuma Gupta, Tarang Shinde, Hitesh Panchal, Rajagopal Thangavel, Akhilesh Kumar Choudhary, Vijay Kumar, Ajay Sukumaran, Suresh Muthusamy,et al.

    Elsevier BV

  • A new method for chest X-ray images categorization using transfer learning and CovidNet_2020 employing convolution neural network
    P. S. Raghavendran, S. Ragul, R. Asokan, Ashok Kumar Loganathan, Suresh Muthusamy, Om Prava Mishra, Ponarun Ramamoorthi, and Suma Christal Mary Sundararajan

    Springer Science and Business Media LLC

  • A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques
    Kavitha Subramaniam, Natesan Palanisamy, Renugadevi Ammapalayam Sinnaswamy, Suresh Muthusamy, Om Prava Mishra, Ashok Kumar Loganathan, Ponarun Ramamoorthi, Christober Asir Rajan Charles Gnanakkan, Gunasekaran Thangavel, and Suma Christal Mary Sundararajan

    Springer Science and Business Media LLC

  • A novel method for image captioning using multimodal feature fusion employing mask RNN and LSTM models
    Kumaravel Thangavel, Natesan Palanisamy, Suresh Muthusamy, Om Prava Mishra, Suma Christal Mary Sundararajan, Hitesh Panchal, Ashok Kumar Loganathan, and Ponarun Ramamoorthi

    Springer Science and Business Media LLC

  • An integrated network topology and deep learning model for prediction of Alzheimer disease candidate genes
    Naveen Sundar Gnanadesigan, Narmadha Dhanasegar, Manjula Devi Ramasamy, Suresh Muthusamy, Om Prava Mishra, Ganesh Kumar Pugalendhi, Suma Christal Mary Sundararajan, and Ashokkumar Ravindaran

    Springer Science and Business Media LLC

  • Highly carbonized Prunus dulcis shell-derived activated carbon for high-performance supercapacitor applications
    Senthil Kumar Kandasamy, Ramyea Ravindaran, Monika Michalska, Suresh Muthusamy, Tahani Mazyad Almutairi, Hitesh Panchal, M. R. Gorji, Ali Jawad Alrubai, Mohamed A. Mohamed, and Mustafa Musa Jaber

    Springer Science and Business Media LLC


  • An Extensive Review on Deep Learning and Machine Learning Intervention in Prediction and Classification of Types of Aneurysms
    Renugadevi Ammapalayam Sinnaswamy, Natesan Palanisamy, Kavitha Subramaniam, Suresh Muthusamy, Ravita Lamba, and Sreejith Sekaran

    Springer Science and Business Media LLC

  • A paper-based colourimetric sensor for sodium sulfite detection in beverages
    Surya Devarajan, Mizaj Shabil Sha, Mithra Geetha, Johaina Khalid Alahmad, Mohammed Shoaib Taufeeq Shaikh, Suresh Muthusamy, Kamal Kumar Kushwah, and Kishor Kumar Sadasivuni

    Springer Science and Business Media LLC
    AbstractSulfite is a common food additive that prevents oxidation from damaging food nutrients, and it has long been used in the food industry as a bleaching agent. It can harm the human body if taken wrongly or excessively. In this study, three dyes (cresol red, chlorophenol red, and bromocresol green) were explored to analyze the presence of sodium sulfite (SS) in an inexpensive, disposable paper sensor with a lower visible detection limit of 0.05 M. This visual paper sensor detects sodium sulfite with high selectivity and sensitivity at room temperature. An IoT-based sensor was also developed to practically apply the developed method, which is rapid and low-cost and can replace heavy-duty instruments. Both these sensors can substantially impact scenarios such as food quality monitoring and detecting sodium sulfite in medicinal items. Graphical Abstract

  • A Pair-Task Heuristic for Scheduling Tasks in Heterogeneous Multi-cloud Environment
    Kamalam Gobichettipalayam Krishnasamy, Suresh Periasamy, Keerthika Periasamy, V. Prasanna Moorthy, Gunasekaran Thangavel, Ravita Lamba, and Suresh Muthusamy

    Springer Science and Business Media LLC

  • An Automated Network Slicing at Edge with Software Defined Networking and Network Function Virtualization: A Federated Learning Approach
    Thamilselvan Rakkiannan, Gothai Ekambaram, Natesan Palanisamy, Rajalaxmi Rajammal Ramasamy, Suresh Muthusamy, Ashok Kumar Loganathan, Hitesh Panchal, Kokilavani Thangaraj, and Ashokkumar Ravindaran

    Springer Science and Business Media LLC

  • A Novel Security Algorithm RPBB31 for Securing the Social Media Analyzed Data using Machine Learning Algorithms
    Bagath Basha Chan Batcha, Rajaprakash Singaravelu, Meenakumari Ramachandran, Suresh Muthusamy, Hitesh Panchal, Kokilavani Thangaraj, and Ashokkumar Ravindaran

    Springer Science and Business Media LLC

  • A Novel Method for Analyzing the Performance of Free Space Optical Communication in WDM Using EDFA
    Karuppasamy Periyasamy, Vinoth Rathinam, Karthikeyan Ganesan, Meenakumari Ramachandran, Suresh Muthusamy, Ravita Lamba, Hitesh Panchal, Maheswaran Shanmugam, Suji Prasad Sudarsanan Nair Jalajakumari, and Rajyalakshmi Kottapalli

    Springer Science and Business Media LLC

  • Design and development of a new metamaterial sensor-based Minkowski fractal antenna for medical imaging
    Vijayalakshmi Jagadeesan, Dinesh Venkatachalam, Vibin Mammen Vinod, Ashok Kumar Loganathan, Suresh Muthusamy, Mahendran Krishnamoorthy, Kishor Kumar Sadasivuni, and Mithra Geetha

    Springer Science and Business Media LLC
    AbstractThe metamaterial sensor antenna is numerically designed to detect breast cancer using breast cancer cell lines, especially relying on the electrical characteristics of breast cancer cells, and designed antenna is measured and the results are observed. The metamaterial sensor antenna is a simple and efficient antenna which is designed using the Minkowski fractal curve with a ring-shaped Split Ring Resonator (SRR). The SRR is chosen because of its inductive and capacitive resonating properties. In addition, the Minkowski fractal curve is used as a defective ground structure to improve sensor sensitivity and selectivity. The numerical investigations are based on different iterations of the Minkowski fractal curve. In that iteration, the third iteration of the Minkowski fractal gives better results. The designed antenna is tested with breast cancer cell lines, and it resonates at a frequency of 2.35, 2.42, and 2.52 GHz for different dielectric constants and conductivity. The simulated design antenna is tested with different cancer cell lines like MDA-MB-231, MCF-7, and HS758-T to ensure its performance and selectivity. The measured result of the fabricated antenna shows that the antenna design resonates at the same frequency as the simulated antenna results.

  • A case study on analyzing the performance of microplate heat exchanger using nanofluids at different flow rates and temperatures
    Nesakumar Dharmakkan, Periasamy Manikandan Srinivasan, Suresh Muthusamy, Amit Jomde, Sonal Shamkuwar, Chandrakant Sonawane, Kamal Sharma, Ali Jawad Alrubaie, A.S. El Shafay, and Hitesh Panchal

    Elsevier BV

  • Withdrawal: Techno-economic feasibility analysis of Integrated Renewable Energy System for an urban area in Nanded, Pune – A detailed case study and analysis
    A. B. KanasePatil, A. P. Kaldate, A. J. Al‐rubaie, S. Muthusamy, H. Panchal, A. K. Loganathan, and M. M. Jaber

    Wiley
    Withdrawal: Techno‐economic feasibility analysis of Integrated Renewable Energy System for an urban area in Nanded, Pune – A detailed case study and analysis, A. B. KanasePatil, A. P. Kaldate, A. J. Al‐rubaie, S. Muthusamy, H. Panchal, A. K. Loganathan, M. M. Jaber

RECENT SCHOLAR PUBLICATIONS

  • A new method for improving the solar photovoltaic unit efficiency through neem oil as coolant medium for high power applications—an experimental investigation
    K Ganesan, S Palanisamy, S Muthusamy, PM Muthusamy, ...
    Electrical Engineering, 1-14 2024

  • Adaptive cruise control system with fractional order ANFIS PD+ I controller: optimization and validation
    P Gunasekaran, R Sivasubramanian, K Periyasamy, S Muthusamy, ...
    Journal of the Brazilian Society of Mechanical Sciences and Engineering 46 2024

  • Investigation of viscoelastic behavior of Abaca-reinforced epoxy composites
    MK Anand Raj, R Rathanasamy, P Rathinasamy, S Muthusamy, ...
    AIP Advances 14 (3) 2024

  • PV Based Multilevel Inverter Using Reduced Number of Switches with Modified H-Bridge
    D Sarathkumar, RA Raj, S Muthusamy, B Logesh, K Praveenkumar, ...
    2024 IEEE International Students' Conference on Electrical, Electronics and 2024

  • A novel multi class disease detection of chest x-ray images using deep learning with pre trained transfer learning models for medical imaging applications
    M Krishnamoorthy, S Muthusamy, B Balakrishnan, S Sridevi, ...
    2024

  • A Novel Method for Prediction and Analysis of COVID 19 Transmission Using Machine Learning Based Time Series Models
    S Mann, D Yadav, S Muthusamy, D Rathee, OP Mishra
    Wireless Personal Communications 133 (3), 1935 - 1961 2024

  • A novel Adaptive Neural Network-Based Laplacian of Gaussian (AnLoG) classification algorithm for detecting diabetic retinopathy with colour retinal fundus images
    MD Ramasamy, K Periasamy, S Periasamy, S Muthusamy, ...
    Neural Computing and Applications 36 (7), 3514-3524 2024

  • A Novel Design and Development of Multilevel Inverters for Parallel Operated PMSG-Based Standalone Wind Energy Conversion Systems
    A Palani, V Mahendran, K Vengadakrishnan, S Muthusamy, OP Mishra, ...
    Iranian Journal of Science and Technology, Transactions of Electrical 2024

  • A Novel Method for Design and Development of Hybrid Land and Water Buoyancy Trash Collecting Robot
    S Muthusamy, S Duraisamy, M Ramachandran, J Karthikeyan, JI David, ...
    2024 International Conference on Intelligent and Innovative Technologies in 2024

  • Performance analysis of evacuated tubes with thermosyphon heat pipe solar collector integrated with compound parabolic concentrator under different operating conditions
    K Govindasamy, V Palanivel, RS Meena, S Muthusamy, H Panchal, ...
    Energy Exploration & Exploitation 42 (1), 231-249 2024

  • An optimal selection of slot/pole combination and its influence on energy efficient PMSM for submersible water pumping applications
    A Mouttouvelou, V Balakrishna, S Maruthachalam, S Muthusamy, ...
    International Journal of Ambient Energy 44 (1), 654-667 2023

  • Seizure Detection Via Time Series Classification Using Modified Metaheuristic Optimized Recurrent Networks
    S Kozakijevic, M Salb, A Elsadai, J Mani, K Devi, AD Sharko, ...
    Theoretical and Applied Computational Intelligence 1 (1), 82-94 2023

  • An Experimental Analysis of Precipitated Silica in Petroleum-Contaminated Clay for the Strengthening of Soil Characteristics
    P Kulanthaivel, AR Krishnaraja, S Muthusamy, OP Mishra, MS Sha, ...
    Iranian Journal of Science and Technology, Transactions of Civil Engineering 2023

  • Highly carbonized Prunus dulcis shell-derived activated carbon for high-performance supercapacitor applications
    SK Kandasamy, R Ravindaran, M Michalska, S Muthusamy, TM Almutairi, ...
    Polymer Bulletin 80 (10), 10881-10894 2023

  • Investigation on 1-Propanol Electronic mode of fumigation on diesel engine performance and emission Fueled with diesel and lemongrass biodiesel blend using AHP-COPRAS
    V Manivasagam, P Narayanan, NK Gupta, T Shinde, H Panchal, ...
    Energy Conversion and Management: X 20, 100468 2023

  • Highly carbonized Prunus dulcis shell-derived activated carbon for high-performance supercapacitor applications
    SK Kandasamy, R Ravindaran, M Michalska, S Muthusamy, TM Almutairi, ...
    Polymer Bulletin 80 (10), 10881-10984 2023

  • Introduo converso de energia solar
    M Rajendran, M Chinnasamy, S Muthusamy, MK Nair
    Converso de energia solar-Materiais, Mtodos e Aplicaes, 1 2023

  • Feasibility study of integrating the renewable energy system for increased electricity access: A case study of Choba community in Nigeria
    C Ezekwem, S Muthusamy
    Scientific African 21, e01781 2023

  • Performance investigation of 140 kW grid connected solar PV system installed in southern region of India–A detailed case study and analysis
    G Anbazhagan, D Navamani, L Anbazhagan, S Muthusamy, S Pandiyan, ...
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45 2023

  • A simplified methodology for mitigating the harmonics and common-mode voltage using multi-level inverters for renewable energy applications
    U Sengamalai, P Ramasamy, T Thentral, K Balasubramani, ...
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45 2023

MOST CITED SCHOLAR PUBLICATIONS

  • Maximization of biodiesel production from sunflower and soybean oils and prediction of diesel engine performance and emission characteristics through response surface methodology
    M Elkelawy, HAE Bastawissi, KK Esmaeil, AM Radwan, H Panchal, ...
    Fuel 266, 117072 2020
    Citations: 196

  • Effect of fin configuration parameters on performance of solar still: a review
    D Mevada, H Panchal, K kumar Sadasivuni, M Israr, M Suresh, ...
    Groundwater for sustainable development 10, 100289 2020
    Citations: 69

  • A case study on thermo-hydraulic performance of jet plate solar air heater using response surface methodology
    MM Matheswaran, TV Arjunan, S Muthusamy, L Natrayan, H Panchal, ...
    Case Studies in Thermal Engineering 34, 101983 2022
    Citations: 68

  • Performance analysis of evacuated tubes coupled solar still with double basin solar still and solid fins
    H Panchal, K Kumar Sadasivuni, M Suresh, S Yadav, S Brahmbhatt
    International Journal of Ambient Energy 41 (9), 1031-1037 2020
    Citations: 66

  • Use of solar photovoltaic with active solar still to improve distillate output: a review
    K Pansal, B Ramani, K kumar Sadasivuni, H Panchal, M Manokar, ...
    Groundwater for sustainable development 10, 100341 2020
    Citations: 65

  • Prediction of strength and analysis in self-compacting concrete using machine learning based regression techniques
    SA Rajakarunakaran, AR Lourdu, S Muthusamy, H Panchal, AJ Alrubaie, ...
    Advances in Engineering Software 173, 103267 2022
    Citations: 60

  • An efficient LoRa-based smart agriculture management and monitoring system using wireless sensor networks
    SJ Suji Prasad, M Thangatamilan, M Suresh, H Panchal, CA Rajan, ...
    International Journal of Ambient Energy 43 (1), 5447-5450 2022
    Citations: 57

  • An extensive analysis of mechanical, thermal and physical properties of jute fiber composites with different fiber orientations
    G Rangasamy, S Mani, SKS Kolandavelu, MS Alsoufi, AMM Ibrahim, ...
    Case Studies in Thermal Engineering 28, 101612 2021
    Citations: 56

  • An improved genetic algorithm-based optimal sizing of solar photovoltaic/wind turbine generator/diesel generator/battery connected hybrid energy systems for standalone applications
    M Suresh, R Meenakumari
    International Journal of Ambient Energy 42 (10), 1136-1143 2021
    Citations: 54

  • Biodegradable magnesium metal matrix composites for biomedical implants: synthesis, mechanical performance, and corrosion behavior–a review
    R Krishnan, S Pandiaraj, S Muthusamy, H Panchal, MS Alsoufi, ...
    Journal of Materials Research and Technology 20, 650-670 2022
    Citations: 53

  • A novel intelligent transport system charging scheduling for electric vehicles using Grey Wolf Optimizer and Sail Fish Optimization algorithms
    R Rajamoorthy, G Arunachalam, P Kasinathan, R Devendiran, P Ahmadi, ...
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44 2022
    Citations: 52

  • Productivity enhancement of solar still with thermoelectric modules from groundwater to produce potable water: a review
    H Panchal, KK Sadasivuni, C Prajapati, M Khalid, FA Essa, S Shanmugan, ...
    Groundwater for Sustainable Development 11, 100429 2020
    Citations: 47

  • Investigation of mechanical properties of dual-fiber reinforcement in polymer composite
    MKA Raj, S Muthusamy, H Panchal, AMM Ibrahim, MS Alsoufi, ...
    Journal of Materials Research and Technology 18, 3908-3915 2022
    Citations: 45

  • A review of artificial intelligence-based optimization techniques for the sizing of integrated renewable energy systems in smart cities
    AB Kanase-Patil, AP Kaldate, SD Lokhande, H Panchal, M Suresh, ...
    Environmental technology reviews 9 (1), 111-136 2020
    Citations: 45

  • A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications
    ND Kathamuthu, S Subramaniam, QH Le, S Muthusamy, H Panchal, ...
    Advances in Engineering Software 175, 103317 2023
    Citations: 43

  • An extensive review of performance enhancement techniques for pyramid solar still for solar thermal applications
    G Angappan, S Pandiaraj, H Panchal, T Kathiresan, D Ather, C Dutta, ...
    Desalination 532, 115692 2022
    Citations: 42

  • An enhanced multiobjective particle swarm optimisation algorithm for optimum utilisation of hybrid renewable energy systems
    M Suresh, R Meenakumari, H Panchal, V Priya, ES El Agouz, M Israr
    International Journal of Ambient Energy 43 (1), 2540-2548 2022
    Citations: 41

  • Feature selection by hybrid brain storm optimization algorithm for covid-19 classification
    T Bezdan, M Zivkovic, N Bacanin, A Chhabra, M Suresh
    Journal of Computational Biology 29 (6), 515-529 2022
    Citations: 41

  • Modelling and performance analysis of electric vehicle
    B Sharmila, K Srinivasan, D Devasena, M Suresh, H Panchal, ...
    International Journal of Ambient Energy 43 (1), 5034-5040 2022
    Citations: 40

  • A comparative energy and exergy efficiency study of hemispherical and single-slope solar stills
    MEH Attia, AE Kabeel, A Bellila, AM Manokar, R Sathyamurthy, Z Driss, ...
    Environmental Science and Pollution Research 28, 35649-35659 2021
    Citations: 40