S. Thangalakshmi

@imu.edu.in

Associate Professor (Electrical Engineering), School of Marine Engineering and Technology
Indian Maritime University, Mumbai Port Campus

S. Thangalakshmi


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https://researchid.co/thangalakshmiprakash

EDUCATION

B. E. Electrical and Electronics Engineering
M.E. High Voltage Engineering
Ph.D Power System Deregulation

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Control and Systems Engineering, Energy Engineering and Power Technology
21

Scopus Publications

264

Scholar Citations

9

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • Low-Emissions and Energy-Efficient Alternatives for Shipping
    S. Thangalakshmi, K. Sivasami
    Journal of the Institution of Engineers India Series C, 2026
  • PHOTOVOLTAIC-FED MOTOR DRIVE SYSTEM FOR NEXT-GENERATION ELECTRIC VEHICLES
    S Lourdu Jame, S Thangalakshmi, P Sathyanathan, R. C Ilambirai
    International Journal of Advances in Signal and Image Sciences, 2025
    The growing demand for zero-emission, environmentally friendly Electric Vehicles (EVs) is driven by both current and anticipated energy crises, supported by government policies and evolving market trends. Addressing this need, the present study proposes a novel control strategy for an induction motor drive system in EVs, primarily powered by solar PhotoVoltaic (PV) panels. The system employs Field-Oriented Control (FOC) technology to ensure precise motor control, enhanced performance, and reduced energy losses. To enable real-time monitoring and control, an Internet of Things (IoT) based system is integrated, providing valuable insights into the motor drive’s operation and energy consumption. The incorporation of solar PV energy offers a sustainable, long-term alternative to conventional grid-powered sources. The FOC technique further ensures efficient and reliable motor drive operation under varying load conditions. Overall, the synergy of solar energy, advanced motor control, and IoT monitoring presents a highly efficient and eco-friendly solution for future EV applications.
  • Telemedicine Platforms with Cloud-Based AI-Driven Diagnostics in Hospitals
    S. Thangalakshmi, N. Mohankumar, L.N. Jayanthi, Y M Blessy, R. Meenakshi, M. Rajmohan
    Proceedings of International Conference on Visual Analytics and Data Visualization Icvadv 2025, 2025
    Hospitals may benefit greatly from telemedicine technologies, including cloud-based artificial intelligence (AI)-driven diagnostics. Regardless of location, instantaneous access to medical knowledge is made possible by these systems that allow for virtual consultations between patients and healthcare practitioners. Critical patient data is always available during consultations due to these systems' use of cloud computing to safely store and handle massive volumes of data. The use of AI-powered diagnostics improves the precision and effectiveness of diagnoses. To help healthcare providers make informed decisions, machine learning algorithms examine patient data, including medical imaging, test findings, and clinical notes. Faster and more accurate diagnoses are possible with the help of this technology since it can spot patterns and abnormalities that human practitioners may miss. Hospitals can streamline their workflow using telemedicine technologies that use AI for diagnoses. They improve the efficiency of patient triage, the prioritization of critical situations, and the allocation of resources. Better healthcare delivery, shorter wait times, and improved patient outcomes are the effects of this.
  • AgroBots: Revolutionizing Irrigation with Intelligence
    S. Thangalakshmi, M. Shunmugathammal, D. Joseph Jeyakumar, Khaja Mannanuddin, Nakka Lakshmi Srikanth, B.Venkataramanaiah
    Proceedings of the 6th International Conference on Smart Electronics and Communication Icosec 2025, 2025
    Agriculture spends a remarkable amount of freshwater for watering the crops. This work proposes a novel approach for agricultural water management in irrigation by using robotics and the Internet of Things (IoT). Moisture level of the soil is periodically observed by soil moisture sensor which is attached with servo motor. Appropriate time irrigation is promised by the water pump and the relay attached with this soil moisture sensor that detects low moisture. IoT technology used in this system monitors the fitness of the crop and its present status could be monitored from remote location. Hardware of this project is having robot chassis which could move around with the help of motor drivers. This movement will help to navigate designated agricultural areas and irrigate precisely where it needs to be. Reducing water wastage, enhancing agricultural crop output, and reducing human involvement in irrigation are the major objectives of this work. Remote monitoring and control are made possible by the integration of IoT capabilities.
  • Air Quality Prediction by deep learning using Multimodal Data
    S. Thangalakshmi, Manikandan S P, P. Anitha, Khaja Mannanuddin, Hayitov Abdulla Nurmatovich, P. Shanthi, B. Venkataramanaiah
    2025 International Conference on Intelligent and Secure Engineering Solutions Cises 2025, 2025
    Air pollution is one of the most serious environmental and health problems faced globally, and the problem is expected to worsen with rapid industrialization and urbanization. Leveraging multi-modal data sources — such as historical air pollution data, satellite data, weather, and socioeconomic factors — this project aims to predict real time and future air quality levels. Machine learning methods, particularly Convolutional Neural Networks (CNNs) will be applied to key pollutants such as NO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> and CO, to construct pollution forecasting trends and pinpoint areas of higher risk. Moreover, by taking the spatial and temporal variations in pollution levels into account, statistical and deep learning methods will be integrated into the system to further enhance prediction accuracy.The phenomenon study will assess these issues alongside the effects of air pollution on human health in general, with respiratory diseases as the overarching health indicator, as well as on all-cause mortality. By pin-pointing pollution hotspots, the project plans to alert affected populations in advance and propose possible interventions. Additionally, global forecasts will allow policymakers to design evidence-based policies for reducing the detrimental effects of air pollution. As socio-economic parameters will be induced, we will be able to explore the relationship of industrialisation, population density and urban development with pollution trends.This project aims to provide actionable insights for environmental agencies and urban planners through large-scale data analysis and predictive modelling. The results will contribute to the design of effective policies for pollution control, increase public awareness, and foster sustainable urban development. Overall, this study adds a more comprehensive and transcendental perspective of pollution, its development through time, as well as its definitive health and environmental impacts.
  • Optimal Placement Of Distributed Generation Using Immune Algorithm And Suitability For Off-Shore Grid Environment
    S. Thangalakshmi, K. Sivasami
    3rd International Conference on Advances in Computing Communication and Materials Icaccm 2024, 2024
    This research work offers a novel approach for figuring out the best size and position of Distributed Generation (DG) in radially distributed networks. The Newton-Raphson method is utilised to perform the power flow/load flow assessment. Buses are segmented and suitable DG locations are recognised based on the change in power loss while moving through the network. A new immune algorithm has been employed to size and locate the DG (s). To strengthen the voltage levels at the buses and lessen real power loss, a fitness function is developed. The IEEE-34 bus system is considered for validation, and the tests are carried out in ETAP 12.6.0 and MATLAB. It is also recommended that this scheme be implemented for future marine off-shore distributed generation.
  • The use of SVM and AR Methods for allotment of Load Scheduling and Energy Management in SPS
    Sulakshana Bhausaheb Mane, S. Thangalakshmi, R. Umamageswari, C Praveenkumar, Asala Riyadh Sarhan, Omar Muhsin
    2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
    Integration of photovoltaic (PV) systems into energy grids to meet the solar energy consumption requires high-performance predictive algorithms Although genetic process (GP) based additive regression (AR) models so provide answers to nonlinear prediction problems For the information Another hybrid model is proposed that combines the SR with a support vector machine (SVM) architecture. The hybrid model seeks to improve accuracy and robustness by using real-world climate data including solar radiation and historical PV power estimates. Using the Elastic Net and Extreme Boosting methods, the hybrid AR-SVM algorithm makes fast feature selection by eliminating redundant inputs. Stability and reliability are ensured by maintaining the hyper-criteria during the training and testing phases. The model reduces the computational complexity and improves accuracy by using fewer layers and neurons. The improved prediction accuracy is demonstrated by simulation results, which show a significant reduction in the absolute error (MAE) and root mean squared error (RMSE) The improvement in the $\\mathbf{R} 2$ evaluation measure confirms the power of the model has to recognize the underlying pattern emphasis. By preventing the AR from reaching a local minimum with the contribution of the SVM branch, the hybrid model exhibits high robustness to forecast errors, and shows superiority in PV power forecasting applications.
  • Optimizing PV Installations with Fuzzy Logic MPPT Controllers
    Manivannan Balamurugan, S. Thangalakshmi, K. Sivasami, Arunprasath, Prabakaran R, S. Munirathinam
    Proceeding of 2024 International Conference on Communication Computing and Energy Efficient Technologies I3ceet 2024, 2024
    Accurate control of peak power point is required to ensure that the solar panel operates at its maximum generated electricity output whenever weather changes due which affect both, operating temperature and light irradiance as they have influence on a photovoltaic module's power produced. Researchers have largely paid emphasis at improving the disturbance but observations strategy as it is a dominant technique for MPPT controllers and generates oscillation problems in operating point. This paper deals with the design and simulation of an unknown control which enables maximum power point tracking (MPPT) for a solar trackin-g system. The Simulation of the barrel converter was carried out using Matlab/Simulink which converts a 65 W photovoltaic (PV) module for fuzzy controller. The main innovation in this case was the conferred support for handling part models, which can be used to model a PV module not with diodes but instead using its mathematical structure and requiring only the calculation of one curve matched constant. Use of a P&O controller was deigned for the fuzzy oversight findings comparison. Both fuzzy controllers designed using right-sidedets are tested by offline simulations, and the results show that one of them behaves slightly better than other devices in respect to settling time, powerloos and vibration at operting point.
  • Intelligent Vessels with Robotic Gesture Control
    K. Sivasami, S. Thangalakshmi, Bandi Rakshith Kumar
    Journal of the Institution of Engineers India Series C, 2023
  • Direct Torque Controlled Induction Motor Drive for Electric Vehicles Application
    S. Thangalakshmi, M. Padmarasan, V. Sridevi, K. S. Kavitha Kumari
    Proceedings of the 8th International Conference on Communication and Electronics Systems Icces 2023, 2023
    Manufacturers are now very interested in the motorization control of commercial Electric Vehicles (EVs). This paper describes an Induction Motor (IM) control methodology used in EV applications. Motor drive control is critical in EVs, and IM-based drives are better suited for EVs. For IM drives, there are essentially vector and scalar control techniques. Low performance is a disadvantage of the scalar control approach, but Direct Torque Control (DTC) is an excellent approach for IM speed control by effectively controlling the torque and flux. The alternating current (AC) is taken as a source and connected to a rectifier circuit. However, the functioning of the Voltage Source Inverter (VSI) with variable switching frequency might be determined by the availability of hysteresis controls for torque and flux. The DTC-controlled IM drive is developed in MATLAB/ Simulink tool and the performance of the motor is evaluated by the obtained results. The motor’s torque and speed response are examined.
  • Nodes Performance Improvement UASN by using Biological Inspired Algorithm
    K. Sivasami, S. Thangalakshmi, K Giridhar Reddy, B. Venkataramanaiah, Caleb S
    Proceedings 2023 3rd International Conference on Pervasive Computing and Social Networking Icpcsn 2023, 2023
  • Challenges Prevailing in Photovoltaic Electricity in India: A Broad Perspective
    S. Thangalakshmi, K. Sivasami
    Journal of the Institution of Engineers India Series C, 2022
  • Renewable Energy Options for Seaports
    Shilpa Bali, S. Thangalakshmi, Rajoo Balaji
    Oceans Conference Record IEEE, 2022
  • Ship Recycling-The Need of A Life Cycle Approach
    Gopikrishna Chockalingam, K. Sivasami, S. Thangalakshmi
    Oceans Conference Record IEEE, 2022
  • Prevalent glitches in generation of solar power using PV panels - An indian scenario
    Thangalakshmi S
    Journal of Advanced Research in Dynamical and Control Systems, 2020
  • Congestion management in deregulated power systems using generator rescheduling with particle swarm optimization
    S Thangalakshmi, A. Mohamed Ezas
    Journal of Computational and Theoretical Nanoscience, 2017
  • Planning and coordination of relays in distribution system
    S. Thangalakshmi
    Indian Journal of Science and Technology, 2016
  • Congestion management in restructured power systems with economic and technical considerations
    Asian Journal of Information Technology, 2016
  • Congestion management by optimal allocation of facts controllers using hybrid fish bee optimization
    Thangalakshmi
    Journal of Computer Science, 2014
  • Congestion management using hybrid fish bee optimization
    Journal of Theoretical and Applied Information Technology, 2013
  • Virtual learning system: A conceptual framework of network optimization
    R. Soundhara Raja Pandian, S. Thangalakshmi, S. Saravanan
    Advances in Intelligent and Soft Computing, 2012

RECENT SCHOLAR PUBLICATIONS

  • Low-Emissions and Energy-Efficient Alternatives for Shipping
    S Thangalakshmi, K Sivasami
    Journal of The Institution of Engineers (India): Series C, 1-9 , 2026
    2026
  • HYBRID ELECTRIC VEHICLES: A COMPREHENSIVE STUDY OF MECHANICAL AND ELECTRICAL INTEGRATION
    SK Sameer Singh, Prashant Vijay Thokal, Thangalakshmi S, R Kalidasan, Vikas ...
    International Journal of Applied Mathematics 38 (11 S), 2597-2607 , 2025
    2025
  • Optimization and characterization of multigrain pasta enriched with malted finger millet and lentil flour
    S Chaudhary, R Singh, S Mishra, BP Kaur, S Thangalakshmi
    Food and Humanity 5, 100652 , 2025
    2025
    Citations: 5
  • AgroBots: Revolutionizing Irrigation with Intelligence
    S Thangalakshmi, M Shunmugathammal, DJ Jeyakumar, K Mannanuddin, ...
    2025 6th International Conference on Smart Electronics and Communication … , 2025
    2025
  • Air Quality Prediction by deep learning using Multimodal Data
    S Thangalakshmi, SP Manikandan, P Anitha, K Mannanuddin, ...
    2025 International Conference on Intelligent and Secure Engineering … , 2025
    2025
  • Photovoltaic-fed motor drive system for next-generation electric vehicles
    SL Jame, S Thangalakshmi, P Sathyanathan, RC Ilambirai
    International Journal of Advances in Signal and Image Sciences 11 (1), 55-65 , 2025
    2025
    Citations: 5
  • Telemedicine Platforms with Cloud-Based AI-Driven Diagnostics in Hospitals
    S Thangalakshmi, N Mohankumar, LN Jayanthi, YM Blessy, R Meenakshi, ...
    2025 International Conference on Visual Analytics and Data Visualization … , 2025
    2025
    Citations: 2
  • Impact of Panel Materials on Solar Cell Performance
    S Kolandasamy, T Sivalingam
    Innovations in Perovskite, Solar Cells Materials and Devices – Cutting-edge … , 2024
    2024
    Citations: 1
  • Optimal Placement Of Distributed Generation Using Immune Algorithm And Suitability For Off-Shore Grid Environment
    S Thangalakshmi, K Sivasami
    2024 International Conference on Advances in Computing, Communication and … , 2024
    2024
  • Optimizing PV Installations with Fuzzy Logic MPPT Controllers
    M Balamurugan, S Thangalakshmi, K Sivasami, S Munirathinam
    2024 International Conference on Communication, Computing and Energy … , 2024
    2024
  • An In-Depth Analysis of Microplastics’ Effects on the Marine Ecosystem
    S Thangalakshmi, K Sivasami, R Balaji
    Marine Engineers Review (INDIA) , 2024
    2024
    Citations: 1
  • The use of SVM and AR Methods for allotment of Load Scheduling and Energy Management in SPS
    SB Mane, S Thangalakshmi, R Umamageswari, C Praveenkumar, ...
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024
  • Data Analysis and Artificial Intelligence in The Marine Sector. REST J
    K Sivasami, S Thangalakshmi, A Bhoite, H Soni, K Seth
    Data Anal. Artif. Intell 3, 85-91 , 2024
    2024
    Citations: 4
  • Potential Challenges of Hydrogen as a Fuel for International Maritime Transport
    S Thangalakshmi, R Balaji
    Marine Engineers Review (India), 29-34 , 2023
    2023
    Citations: 1
  • Intelligent Vessels with Robotic Gesture Control
    K Sivasami, S Thangalakshmi, BR Kumar
    Journal of The Institution of Engineers (India): Series C 104 (6), 1291-1297 , 2023
    2023
  • The Role And Influence of Social-Media And Digital Media In Shaping The Training And Career of Aspiring Marine Engineers
    K Sivasami, S Thangalakshmi, RJ Singh, B Ayush
    2023
  • Design and implementation of solar charging station for electric vehicles
    S Thangalakshmi, K Sivasami, S Khan
    IIRE Journal of Maritime Research and Development 7 (2) , 2023
    2023
    Citations: 4
  • Nodes Performance Improvement UASN by using Biological Inspired Algorithm
    K Sivasami, S Thangalakshmi, KG Reddy, B Venkataramanaiah
    2023 3rd International Conference on Pervasive Computing and Social … , 2023
    2023
    Citations: 21
  • Direct torque controlled induction motor drive for electric vehicles application
    S Thangalakshmi, M Padmarasan, V Sridevi, KSK Kumari
    2023 8th International Conference on Communication and Electronics Systems … , 2023
    2023
    Citations: 6
  • Building an Electric Vehicle for Maritime Campus
    S Thangalakshmi, B Ayush, S Khan, R Singh, A Kumar
    IIRE Journal of Maritime Research and Development 7 (1) , 2023
    2023
    Citations: 9

MOST CITED SCHOLAR PUBLICATIONS

  • Power theft prevention in distribution system using smart devices
    S Thangalakshmi, GS Bharath, S Muthu
    Int J Appl Eng Res 10, 30841-30845 , 2015
    2015.0
    Citations: 23
  • Nodes Performance Improvement UASN by using Biological Inspired Algorithm
    K Sivasami, S Thangalakshmi, KG Reddy, B Venkataramanaiah
    2023 3rd International Conference on Pervasive Computing and Social … , 2023
    2023.0
    Citations: 21
  • Energy Storage Systems - Possible Impacts on Maritime Sector
    S Thangalakshmi, V Ganeshram.
    International Journal of Innovative Research in Electrical, Electronics … , 2022
    2022.0
    Citations: 20
  • Electronic trapping and monitoring of insect pests troubling agricultural fields
    S Thangalakshmi, R Ramanujan
    International Journal 206 , 2015
    2015.0
    Citations: 20
  • Renewable energy options for seaports
    S Bali, S Thangalakshmi, R Balaji
    OCEANS 2022-Chennai, 1-6 , 2022
    2022.0
    Citations: 17
  • Planning and coordination of relays in distribution system
    S Thangalakshmi
    Indian Journal of Science and Technology 9 (31), 1-7 , 2016
    2016.0
    Citations: 14
  • Exotic god fruit, persimmon
    R Choudhary, A Singh, A Upadhyay, R Singh, S Thangalakshmi, AH Dar, ...
    Diospyros kaki , 2023
    2023.0
    Citations: 12
  • Ship recycling-the need of a life cycle approach
    G Chockalingam, K Sivasami, S Thangalakshmi
    OCEANS 2022-Chennai, 1-4 , 2022
    2022.0
    Citations: 11
  • Building an Electric Vehicle for Maritime Campus
    S Thangalakshmi, B Ayush, S Khan, R Singh, A Kumar
    IIRE Journal of Maritime Research and Development 7 (1) , 2023
    2023.0
    Citations: 9
  • Real Time Implementation of Home Energy Management
    S Thangalakshmi, K Sivasami
    Journal of Survey in Fisheries Sciences 10 (3S), 1272-1280 , 2023
    2023.0
    Citations: 9
  • WASTE-TO-ENERGY: A PROMISING MARITIME TRANSPORT TECHNOLOGY
    DS Thangalakshmi, DK Sivasami
    International Journal of Engineering Science Technologies 6 (3), 12-19 , 2022
    2022.0
    Citations: 9
  • CLIMATE CHANGE OVER SOUTH INDIAN COAST DUE TO AEROSOL AND AIR POLLUTION
    S Thangalakshmi, K Sivasami
    International Advanced Research Journal in Science, Engineering and … , 2022
    2022.0
    Citations: 7
  • Challenges Prevailing in Photovoltaic Electricity in India: A Broad Perspective
    S Thangalakshmi, K Sivasami
    Journal of The Institution of Engineers (India): Series C 103 (2), 249-258 , 2022
    2022.0
    Citations: 7
  • Designing and Controlling the Speed of Single Phase Induction Motor using Raspberry pi System
    S Thangalakshmi, M Dinesh
    Journal of Embedded Systems and Processing 2 (1), 1-8 , 2017
    2017.0
    Citations: 7
  • Ship Recycling-The Need of A Life Cycle Approach. InOCEANS 2022-Chennai 2022 Feb 21 (pp. 1-4)
    G Chockalingam, K Sivasami, S Thangalakshmi
    IEEE , 0
    Citations: 7
  • Direct torque controlled induction motor drive for electric vehicles application
    S Thangalakshmi, M Padmarasan, V Sridevi, KSK Kumari
    2023 8th International Conference on Communication and Electronics Systems … , 2023
    2023.0
    Citations: 6
  • Congestion Management in Restructured Power Systems with Economic and Technical Considerations
    S Thangalakshmi, P Valsalal
    Asian Journal of Information Technology 15 (12), 2079-2086 , 2016
    2016.0
    Citations: 6
  • CONGESTION MANAGEMENT USING HYBRID FISH BEE OPTIMIZATION.
    S Thangalakshmi, P Valsalal
    Journal of Theoretical & Applied Information Technology 58 (2) , 2013
    2013.0
    Citations: 6
  • Optimization and characterization of multigrain pasta enriched with malted finger millet and lentil flour
    S Chaudhary, R Singh, S Mishra, BP Kaur, S Thangalakshmi
    Food and Humanity 5, 100652 , 2025
    2025.0
    Citations: 5
  • Photovoltaic-fed motor drive system for next-generation electric vehicles
    SL Jame, S Thangalakshmi, P Sathyanathan, RC Ilambirai
    International Journal of Advances in Signal and Image Sciences 11 (1), 55-65 , 2025
    2025.0
    Citations: 5