Senthilrani Shanmugavelu

@vcet.ac.in

Associate Professor
Velammal College of Engineering and Technology

Senthilrani Shanmugavelu


                  Download Compact PDF  
https://researchid.co/senthilrani

EDUCATION

• Ph.D in Information & Communication Engineering from Anna University Chennai in March 2017.
• M.Tech in VLSI Design with CGPA of 7.41 from SASTRA University in May 2005.
• B.E in Electrical and Electronics Engineering with an aggregate of 73.4 % from Madurai Kamaraj University in April 2003.

RESEARCH INTERESTS

Semiconductor device modelling and image processing.
31

Scopus Publications

251

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • A Multi-Agent LLM-Driven Intelligent EV Charging Framework with Rag based Personalization and CGAN-Generated Behavioral Modeling
    Santharam M, B. Ashok Kumar, S. Senthilrani, J. Rajeswari
    Proceedings of 2nd International Conference on Multi Agent Systems for Collaborative Intelligence Icmsci 2026, 2026
    The rapid growth of electric vehicles (EVs) has a demand on charging station management it's necessary of handling user diversity, dynamic grid constraints and real time pricing variations. This paper proposes a multi-agent EV charging framework comprising a User Agent, an EVCS Agent and a Negotiation Platform. The User Agent utilizes Retrieval Augmented Generation (RAG) and large language model (LLM) to recommend personalized charging station based on user history, travel routes and contextual data. The EVCS Agent employs LoRA fine- tuned LLMs and Time-LLM forecasting for dynamic pricing and load stability. A secure Negotiation Platform which coordinates bidirectional communication between agents and charging station. A case study involving 50 simulated users and 10 charging stations, enhanced with CGAN-generated behavioral patterns, demonstrates improved recommendation accuracy, load balancing and user satisfaction. Experimental results show a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{7 8. 9 \%}$</tex> reduction in peak load events, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 4. 2 \%}$</tex> user cost savings, 31.9 % reduction in queue time, 24.1 % improvement in station utilization and a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{3 1. 2 \%}$</tex> improvement in user satisfaction index. The proposed system enhances scalability, fairness and operational efficiency in next-generation EV charging ecosystems.
  • CountNet: Object Detection and Counting Method Based on Depthwise Separable Convolution with Squeeze and Excitation
    A. Sivaranjani, Thayyaba Khatoon, A. Senthil Murugan, S. Senthilrani, M. Sathya
    Lecture Notes in Networks and Systems, 2025
  • A Novel Image Acquisition Technique for Classifying Whole and Split Cashew Nuts Images Using Multi-CNN
    , A. Sivaranjani, S. Senthilrani, A. Senthil Murugan, B. Ashokkumar
    International Journal of Engineering and Manufacturing, 2024
  • Review of electric vehicle (EV) charging using renewable solar photovoltaic (PV) nano grid
    S Satheesh Kumar, B Ashok Kumar, S Senthilrani
    Energy and Environment, 2024
    This review article gives a comprehensive review of existing research on renewable solar photovoltaic (PV) nanogrid, which is described from small-scale power system with a single domain for reliability, control, and power quality (PQ) for electric vehicle (EV) charging. A primary feeder on the Microgrid is connected to a nanogrid test bed that includes PV as power source, a battery energy storage system (BESS), smart-inverter multiple and EV charging stations (EVCS). The control algorithms are graded on four metrics: (1) voltage profiles, (2) renewable penetration, (3) PV curtailed and (4) net power flows. To investigate the local power quality, a steady-state power flow model of the nano-grid is created. The control algorithms successfully employ the battery to shift the nano-grid peak load while limiting the nano-grid demand to set level. Furthermore, an increasing emphasis is being placed on commonly used strategies for addressing the characteristics of each renewable system. This review paper characterizes the dynamic operation of 4 distinct BESS control algorithms for solar EV charging nanogrid: (1) peak load shifting, (2) reduce peak period impact, (3) cap demand, and (4) photovoltaic capture. These control modes are executed and analyzed on real-world nano-grid site, and optimal BESS control modes are assessed in terms of (1) solar electric vehicle charging, (2) power quality, (3) grid net demand, (4) photovoltaic curtailment, and (5) solar penetration. Finally, the problems highlight research gaps, and discussions on future trends are critical for enhancing the general technology of the renewable solar photovoltaic nano-grid for EV charging.
  • Unit vector template controlled grid integrated and solar fed BLDC drive-based water pumping system
    Ashok Kumar B, Gokul H, Balasundar C, Senthilrani S
    E Prime Advances in Electrical Engineering Electronics and Energy, 2024
    With increased population and energy demand, the need to utilize renewable energy becomes so vital. The need to manage food demand globally also emphasizes the support to agriculture. This article proposes a unit vector template-controlled grid-integrated solar Photovoltaic (PV) powered three-phase Brushless Direct Current (BLDC) drive-based water pumping system. The proposed system includes solar photovoltaic, boost converter, voltage source inverter, single phase grid supply, single phase bidirectional voltage source converter, and BLDC-driven water pump. The solar PV is connected to the dc grid through the boost converter. An incremental conductance algorithm performs the Maximum Power Point Tracking (MPPT) of a Photovoltaic array. The power exchange between the dc-bus and the utility grid has been achieved through a unit vector template algorithm-controlled bidirectional voltage source converter. It allows a consumer to operate a water pump at maximum capacity for the whole day regardless of the weather and to supply a single-phase power grid when water pumping is unnecessary. A 3-phase BLDC motor-based water pump is driven by a 3-phase voltage source inverter, which is used for electronic commutation and to regulate the motor speed. The performance of the proposed system has been evaluated for different modes of peak, rms voltage and motor speed has been maintained around 255 V and 180 V and 2500 rpm respectively in all the modes of operation. Its practicality and trustworthiness are shown by different simulation results using MATLAB/Simulink version 2022bsoftware.
  • Battery Health Monitoring System in Electric Vehicles for Battery Swapping
    Ashok Kumar B., Senthilrani Shanmugavelu, Ramya Sri P, Sharmini Sakthi CM, Sofi D
    2024 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing Incos 2024 Proceedings, 2024
    In the new era of electric vehicles, battery swapping technology becomes a new trend except in plug in and hybrid vehicles. The awareness among the end user on battery handling becomes so vital. From the surveys carried out and studies on battery handling, many factors lead to battery blast, one among them is the external factors. In this paper external factors that affect the battery health such as temperature, humidity and vibration have been taken into account for monitoring and analysis by placing the system set up on a lithium ion battery. The influence of the aforementioned external factor has been studied in view with battery swapping that involves detecting the SoC and deducing equivalent pay from the users' wallet. A prototype model has been built and the results are analyzed and validated.
  • Grey Wolf Optimization Based MPPT Tracking of Standalone PV System for BLDC Applications
    Ashok Kumar B, Rajeswari Janarthanan, Senthilrani Shanmugavelu, Praveen Sanjai, Mothiga Shivani J
    2024 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing Incos 2024 Proceedings, 2024
    Standalone PV systems are autonomous power systems that use solar panels to generate electricity and do not rely on the grid for power. To lower the cost and boost efficiency of solar power generation in remote regions, the MPPT controllers have been employed. Design of standalone PV systems with suitable MPPT in rural areas shows better performance. Such systems performance can be further improved by using various optimization techniques. One such optimization technique is Grey Wolf Optimization (GWO). GW based optimization is used to optimize the sizing of PV panels and inverters in standalone PV systems. Apart from these, it can be used for the selection of suitable PV technology and its location for yielding enhanced performance. The proposed optimization technique is effective in finding the optimal solution in a shorter time compared to other optimization methods. GWO has been shown to achieve maximum of 2765 rpm in finding the optimal switching sequence for BLDC motor applications, leading to improved torque, power and efficiency. GWO based MPPT control of solar PV generation for BLDC motor was developed. By simulating the proposed system with MATLAB/Simulink, the appropriateness of the system for different perturbations is assessed.
  • IoT based Medical Assistive Device for Treating Deep Vein Thrombosis
    J. Rajeswari, S. Senthilrani, B. Ashok Kumar, M. Chandru, K. Adhish, J. Praveen
    Proceedings of 5th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2024, 2024
    Deep Vein Thrombosis (DVT) is a critical vascular condition characterized by the formation of blood clots in deep veins, particularly in the lower limbs, which poses significant health risks such as pulmonary embolism. Existing management methods face several challenges, including the lack of continuous real-time monitoring, patient non-compliance with preventive measures like compression stockings, and limitations of invasive treatments or anticoagulant therapies that carry risks of complications. These limitations highlight the need for innovative solutions that integrate prevention, monitoring, and intervention. It proposes a novel IoT-based medical assistive device for real-time DVT risk monitoring and therapeutic management. The system utilizes an array of sensors to track physiological parameters such as leg pressure, movement, and oxygen saturation to detect prolonged immobility—a key DVT risk factor. A PIC microcontroller processes these inputs for continuous assessment. Therapeutic interventions leverage periodic temperature variations via the Seebeck and piezoelectric effects to enhance circulation and reduce clot formation. Additionally, a mechanical vibration system mitigates inflammation and promotes blood flow. The device's IoT integration facilitates remote monitoring, enabling early detection of complications such as abnormal blood pressure, glucose levels, and oxygen saturation. With its comprehensive approach to prevention and early intervention, this assistive device addresses the gaps in existing methods and offers a proactive solution for managing DVT, particularly in high-risk populations such as sedentary individuals.
  • Energy Management in a Standalone PV System with Priority Controller
    Ashok Kumar B., Senthilrani S., Rajeswari J., T. Rajapandi
    E3s Web of Conferences, 2023
    In many developing countries, meeting the energy demand has become a major challenge. Such problem is more prominent in rural and remote areas of the country. The load requirements in these areas are less and the same can be addressed with renewable energy sources. The proposed work deals with a MPPT based standalone PV system using a priority controller. The system can be used to meet out the critical load demands in rural areas. Due to change in weather conditions, an unregulated output in PV array is observed. Hence, maximum power is tracked using a DC-DC converter, where the tracked data is with respect to temperature and irradiance levels. To acquire the maximum power point (MPP), an incremental conductance (IC) algorithm is employed and it is executed by controlling the duty cycle of DC-DC boost convertor. Thus, the attainment of energy management in loads and battery storage is supported by priority load control algorithm. The proposed system assures better energy management and supplies energy for critical loads. The entire system has been simulated and validated using MATLAB/SIMULINK.
  • Computer Vision-Based Cashew Nuts Grading System Using Machine Learning Methods
    A. Sivaranjani, S. Senthilrani
    Journal of Circuits Systems and Computers, 2023
    In this paper, a computer vision-based cashew nut grading system has been designed and implemented for classifying different grades of cashew nuts using combined features and machine learning approaches. The important task in the cashew nut grading system is to classify the whole and split down cashew nuts. Since these cashew nuts look very similar from the top view, it is a challenging task to classify the whole cashew nut and split down cashew nuts. Hence, a single-view image of cashew nut has been captured by placing a camera with a distance of 17[Formula: see text]cm (from the right side of the conveyor belt). The captured red, blue and green images are normalized and converted into hue, saturation and value color space. S channel from HSV image is used for segmentation process using Otsu threshold technique. The total numbers of features extracted are 275 and the features are texture (180), color (90), and shape (5). The constrained optimization-based feature selection method is used and 30 features are selected for further process. The Support Vector Machine (SVM) classifier is used for the classification, and the results obtained from different kernel functions are computed and compared. The 8-layer convolutional neural network (CNN) has been developed in this work for classification and to analyze the performance and accuracy. The accuracy of different machine learning classifiers like SVM 1-1, SVM 1-All and CNN model is also evaluated and compared. The overall accuracy obtained by SVM 1-All with kernel function radial basis for classification is 98.93%.
  • Bidirectional Power Flow Grid-to-Vehicle & Vehicle-to-Grid (G2V&V2G) in Electric Vehicle
    B. Ashok Kumar, G. Shanmukasri, S. Senthilrani, S. Satheesh Kumar
    2023 International Conference on Energy Materials and Communication Engineering Icemce 2023, 2023
  • A Study on Various Medical Imaging Modalities and Image Fusion Methods
    B. Ashok Kumar, A. Sivaranjani, S. Senthilrani, A. Senthil Murugan
    Lecture Notes in Computational Vision and Biomechanics, 2023
  • A mathematical model to forecast solar PV performance
    T.S Bagavat Perumaal, Parthasarathy Seshadri, B. Ashok Kumar, S. Senthilrani
    Journal of the Chinese Institute of Engineers Transactions of the Chinese Institute of Engineers Series A, 2023
  • Performance Prediction of Solar Cell Using Virtual Production Simulation
    B. Ashok Kumar, T. S. Bagavat Perumaal, S. Senthilrani, Parthasarathy Seshadri
    Lecture Notes in Electrical Engineering, 2023
  • Chatbot: A Voice Based Virtual Assistant
    Ashok Kumar B, Rajeswari J, Senthilrani S, Abilashini M, Shivani N
    2023 International Conference on Energy Materials and Communication Engineering Icemce 2023, 2023
  • Effectual GA Optimized PID Control Strategy based MPPT Controller for Extracting Maximum Power from Photo Voltaic system
    Ashok Kumar Balasubramanian, Sitharthan Ramachandran, Senthilrani Shanmugavelu
    Trends in Sciences, 2022
  • An Overview of Various Computer Vision-based Grading System for Various Agricultural Products
    A Sivaranjani, S Senthilrani, B Ashok kumar, A Senthil Murugan
    Journal of Horticultural Science and Biotechnology, 2022
  • Modeling of Battery Management for Standalone PV System
    B Ashok Kumar, Parthasarathy Seshadri, S Senthilrani, T S Bagavat Perumal
    Journal of Physics Conference Series, 2021
  • Optimum placement of multiple distributed generators in distribution systems for loss mitigation considering load growth
    Big Data Analytics and Intelligent Techniques for Smart Cities, 2021
  • Thermal Aware Device Design Using Hotspot Analysis
    B. Ashok Kumar, S. Senthilrani, H. Keerthana
    Lecture Notes in Electrical Engineering, 2021
  • Computer Vision-Based Vehicle Detection and Tracking
    A. Senthil Murugan, S. Manoj Kumar, S. Senthilrani, A. Sivaranjani
    Lecture Notes in Electrical Engineering, 2021
  • Time Series-Based Photovoltaic Power Forecasting to Optimize Grid Stability
    Parthasarathy Seshadri, Bagavat Perumaal T.S., Ashok Kumar B., Keerthana H., Kavinmathi G., Senthilrani S.
    Electric Power Components and Systems, 2021
  • CashNet-15:An optimized cashew nut grading using deep CNN and data augmentation
    A. Sivaranjani, S. Senthilrani, B. Ashokumar, A. Senthil Murugan
    2019 IEEE International Conference on System Computation Automation and Networking Icscan 2019, 2019
  • Robust H-infinity controller for two degree of freedom helicopter
    B. Ashok Kumar, S. Gayathri, S. Surendhar, S. Senthilrani, R. Jeyabharathi
    2019 IEEE International Conference on System Computation Automation and Networking Icscan 2019, 2019
  • Control of four tank system using model predictive controller
    B. Ashok Kumar, R. Jeyabharathi, S. Surendhar, S. Senthilrani, S. Gayathri
    2019 IEEE International Conference on System Computation Automation and Networking Icscan 2019, 2019
  • An Improvised Algorithm for Computer Vision Based Cashew Grading System Using Deep CNN
    A. Sivaranjani, S. Senthilrani, B. Ashokumar, A. Senthil Murugan
    2018 IEEE International Conference on System Computation Automation and Networking Icsca 2018, 2018
  • Phase Locked Loop for controlling inverter interfaced with grid connected solar PV system
    M.A.J. Priya, B. Ashok Kumar, S. Senthilrani
    2018 National Power Engineering Conference Npec 2018, 2018
  • Control ofDC Link Voltage of Single Phase Grid Connected Solar PV System
    P. GAYATHRI, B. ASHOK KUMAR, S. SENTHILRANI
    2018 National Power Engineering Conference Npec 2018, 2018
  • Investigation of self heating effects domination on power device reliability
    S. Senthilrani, M. Suganthi
    Journal of Nanoelectronics and Optoelectronics, 2015
  • Electrothermal analysis impact on deep submicron devices in a leakage dominant era
    International Journal of Applied Engineering Research, 2015
  • Power optimization techniques for deep submicron devices
    S. Senthilrani, M. Suganthi
    Journal of Nanoelectronics and Optoelectronics, 2013

RECENT SCHOLAR PUBLICATIONS

  • Deep Learning Approaches for Microplastic Identification in Microscopic Water Samples
    J Rajeswari, BA Kumar, S Senthilrani, S Amrudha, MA Pushpa, ...
    International Conference on Artificial Intelligence and Secure Data … , 2026
    2026
  • Water Quality Classification using an Out-of-Fold CatBoost-LSTM Stacking Framework
    J Rajeswari, TR Lakshmi, BA Kumar, S Senthilrani, R Lakshmathi
    2026 International Conference on Future and Advanced Computing Technologies … , 2026
    2026
  • A Multi-Agent LLM-Driven Intelligent EV Charging Framework with Rag based Personalization and CGAN-Generated Behavioral Modeling
    M Santharam, BA Kumar, S Senthilrani, J Rajeswari
    2026 Second International Conference on Multi-Agent Systems for … , 2026
    2026
  • IoT based Medical Assistive Device for Treating Deep Vein Thrombosis
    J Rajeswari, S Senthilrani, BA Kumar, M Chandru, K Adhish, J Praveen
    2024 International Conference on IoT Based Control Networks and Intelligent … , 2024
    2024
  • CountNet: Object Detection and Counting Method Based on Depthwise Separable Convolution with Squeeze and Excitation
    A Sivaranjani, T Khatoon, A Senthil Murugan, S Senthilrani, M Sathya
    Congress on Intelligent Systems, 533-545 , 2024
    2024
  • Fault Assessment and Early Performance Prediction of PV Module Using Machine
    JM Shivani, S Senthilrani, J Rajeswari, BA Kumar
    Proceedings of International Joint Conference on Advances in Computational … , 2024
    2024
  • Unit vector template controlled grid integrated and solar fed BLDC drive-based water pumping system
    A Kumar, H Gokul, C Balasundar, S Senthilrani
    e-Prime-Advances in Electrical Engineering, Electronics and Energy 7, 100489 , 2024
    2024
    Citations: 7
  • Review of electric vehicle (EV) charging using renewable solar photovoltaic (PV) nano grid
    S Satheesh Kumar, B Ashok Kumar, S Senthilrani
    Energy & Environment 35 (2), 1089-1117 , 2024
    2024
    Citations: 18
  • Bidirectional Power Flow Grid-to-Vehicle & Vehicle-to-Grid (G2V&V2G) in Electric Vehicle
    BA Kumar, G Shanmukasri, S Senthilrani, SS Kumar
    2023 International Conference on Energy, Materials and Communication … , 2023
    2023
    Citations: 13
  • Chatbot: A Voice Based Virtual Assistant
    A Kumar, J Rajeswari, S Senthilrani, M Abilashini, N Shivani
    2023 International Conference on Energy, Materials and Communication … , 2023
    2023
    Citations: 2
  • A mathematical model to forecast solar PV performance
    TS Bagavat Perumaal, P Seshadri, B Ashok Kumar, S Senthilrani
    Journal of the Chinese Institute of Engineers 46 (5), 431-440 , 2023
    2023
    Citations: 38
  • Performance Prediction of Solar Cell Using Virtual Production Simulation
    B Ashok Kumar, TS Bagavat Perumaal, S Senthilrani, P Seshadri
    Smart Sensors Measurement and Instrumentation: Select Proceedings of CISCON … , 2023
    2023
  • Using Virtual Production Simulation
    BA Kumar, TSB Perumaal, S Senthilrani, P Seshadri
    Smart Sensors Measurement and Instrumentation: Select Proceedings of CISCON … , 2023
    2023
  • Computer vision-based cashew nuts grading system using machine learning methods
    A Sivaranjani, S Senthilrani
    Journal of Circuits, Systems and Computers 32 (03), 2350049 , 2023
    2023
    Citations: 11
  • Energy Management in a Standalone PV System with Priority Controller
    A Kumar, S Senthilrani, J Rajeswari, T Rajapandi
    E3S Web of Conferences 387, 02008 , 2023
    2023
  • Fault Assessment and Early Performance Prediction of PV Module Using Machine Learning
    J Mothiga Shivani, S Senthilrani, J Rajeswari, B Ashok Kumar
    International Joint Conference on Advances in Computational Intelligence, 61-72 , 2022
    2022
  • A study on various medical imaging modalities and image fusion methods
    B Ashok Kumar, A Sivaranjani, S Senthilrani, A Senthil Murugan
    Artificial Intelligence on Medical Data: Proceedings of International … , 2022
    2022
    Citations: 5
  • Effectual GA Optimized PID Control Strategy based MPPT Controller for Extracting Maximum Power from Photo Voltaic system
    AK Balasubramanian, S Ramachandran, S Shanmugavelu
    Trends in Sciences 19 (9), 3969-3969 , 2022
    2022
    Citations: 2
  • An overview of various computer vision-based grading system for various agricultural products
    A Sivaranjani, S Senthilrani, B Ashok Kumar, A Senthil Murugan
    The Journal of Horticultural Science and Biotechnology 97 (2), 137-159 , 2022
    2022
    Citations: 53
  • Modeling of Battery Management for Standalone PV System
    B Ashok Kumar, P Seshadri, S Senthilrani, TS Bagavat Perumal
    Journal of Physics: Conference Series 2115 (1), 012027 , 2021
    2021
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • An overview of various computer vision-based grading system for various agricultural products
    A Sivaranjani, S Senthilrani, B Ashok Kumar, A Senthil Murugan
    The Journal of Horticultural Science and Biotechnology 97 (2), 137-159 , 2022
    2022
    Citations: 53
  • A mathematical model to forecast solar PV performance
    TS Bagavat Perumaal, P Seshadri, B Ashok Kumar, S Senthilrani
    Journal of the Chinese Institute of Engineers 46 (5), 431-440 , 2023
    2023
    Citations: 38
  • Review of electric vehicle (EV) charging using renewable solar photovoltaic (PV) nano grid
    S Satheesh Kumar, B Ashok Kumar, S Senthilrani
    Energy & Environment 35 (2), 1089-1117 , 2024
    2024
    Citations: 18
  • CashNet-15: an optimized cashew nut grading using deep CNN and data augmentation
    A Sivaranjani, S Senthilrani, B Ashokumar, AS Murugan
    2019 IEEE International Conference on System, Computation, Automation and … , 2019
    2019
    Citations: 17
  • Control of four tank system using model predictive controller
    BA Kumar, R Jeyabharathi, S Surendhar, S Senthilrani, S Gayathri
    2019 IEEE International Conference on System, Computation, Automation and … , 2019
    2019
    Citations: 15
  • Bidirectional Power Flow Grid-to-Vehicle & Vehicle-to-Grid (G2V&V2G) in Electric Vehicle
    BA Kumar, G Shanmukasri, S Senthilrani, SS Kumar
    2023 International Conference on Energy, Materials and Communication … , 2023
    2023
    Citations: 13
  • Phase Locked Loop for controlling inverter interfaced with grid connected solar PV system
    MAJ Priya, BA Kumar, S Senthilrani
    2018 National Power Engineering Conference (NPEC), 1-6 , 2018
    2018
    Citations: 13
  • An improvised algorithm for computer vision based cashew grading system using deep CNN
    A Sivaranjani, S Senthilrani, B Ashokumar, AS Murugan
    2018 IEEE International Conference on System, Computation, Automation and … , 2018
    2018
    Citations: 12
  • Computer vision-based cashew nuts grading system using machine learning methods
    A Sivaranjani, S Senthilrani
    Journal of Circuits, Systems and Computers 32 (03), 2350049 , 2023
    2023
    Citations: 11
  • Micro-Controller Based Intelligent Wheelchair Design
    G Kalasamy, AM Imthiyaz, A Manikandan, S Senthilrani
    IJREAT International Journal of Research in Engineering & Advanced … , 2014
    2014
    Citations: 10
  • Hybrid Water Pumping Control System for Irrigation using ARDUINO®
    C Keerthana, RS Siri, A Arthi, SS Rani
    International Journal of Engineering Research and Technology 4 (3) , 2015
    2015
    Citations: 9
  • Unit vector template controlled grid integrated and solar fed BLDC drive-based water pumping system
    A Kumar, H Gokul, C Balasundar, S Senthilrani
    e-Prime-Advances in Electrical Engineering, Electronics and Energy 7, 100489 , 2024
    2024
    Citations: 7
  • Computer vision based vehicle detection and tracking: advances in automation, signal processing, instrumentation, and control
    A Sivaranjani, A Senthil Murugan, S Manoj Kumar, S Senthilrani
    Springer Singapore , 2021
    2021
    Citations: 6
  • A study on various medical imaging modalities and image fusion methods
    B Ashok Kumar, A Sivaranjani, S Senthilrani, A Senthil Murugan
    Artificial Intelligence on Medical Data: Proceedings of International … , 2022
    2022
    Citations: 5
  • Computer vision based Vehicle Detection and Tracking
    AS A.Senthil Murugan, S.Manoj Kumar, S.Senthilrani
    First International Conference on Automation, Signal Processing … , 2020
    2020
    Citations: 5
  • Robust h-infinity controller for two degree of freedom helicopter
    BA Kumar, S Gayathri, S Surendhar, S Senthilrani, R Jeyabharathi
    2019 IEEE International Conference on System, Computation, Automation and … , 2019
    2019
    Citations: 5
  • MVCNN-CASHNET: Multi-view convolution neural network for classifying WW, SW, split cashews
    A Sivaranjani, S Senthilrani
    Solid State Technology 64 (2), 4542-4559 , 2021
    2021
    Citations: 3
  • Control ofDC Link Voltage of Single Phase Grid Connected Solar PV System
    P Gayathri, BA Kumar, S Senthilrani
    2018 National Power Engineering Conference (NPEC), 1-7 , 2018
    2018
    Citations: 3
  • Chatbot: A Voice Based Virtual Assistant
    A Kumar, J Rajeswari, S Senthilrani, M Abilashini, N Shivani
    2023 International Conference on Energy, Materials and Communication … , 2023
    2023
    Citations: 2
  • Effectual GA Optimized PID Control Strategy based MPPT Controller for Extracting Maximum Power from Photo Voltaic system
    AK Balasubramanian, S Ramachandran, S Shanmugavelu
    Trends in Sciences 19 (9), 3969-3969 , 2022
    2022
    Citations: 2

Publications

Publications Books

1. Smart Grids (GTU syllabus), Technical Publication, Pune, October 2021.
2. Smart Grid(AU syllabus),Technical Publications, Pune, April 2021
3. Lifetime aware device design using failure mechanism analysis , ISBN-13: 978-3-330-08693-7, ISBN-10: 3330086939, EAN: 9783330086937, Book language: English,LAP LAMBERT Academic Publishing (2017-05-16 ).

Book Chapters

1. Computer Vision-Based Vehicle Detection and Tracking, Springer Link - Lecture Notes in Electrical Engineering book series (LNEE),March 2021
2. Thermal Aware Device Design Using Hotspot Analysis, Springer Link - Lecture Notes in Electrical Engineering book series (LNEE),March 2021
3. Big Data Analytics and Intelligent Techniques for Smart Cities : “ Optimum Placement of Multiple Distributed Generators in Distribution Systems for Loss mitigation considering load growth”, CRC Press - Taylor & Francis Group November 2020.,Agreement signed

GRANT DETAILS

• Received Grant of for SPICES scheme , AICTE during March 2021.
• Received Grant of Tamilnadu State Council For Science And Technology Student Project Scheme 2019- during March 2020.
• Received Grant of for Six days Anna University Sponsored FDTP on Transmission and distribution during November 2019.
• Received Grant of for Energy awareness camp from TNSCST during May 2019.
• Received Grant of for National Seminar from Institution of Engineers(India) during August 2017.
• Received Grant of for “Entrepreneurship Awareness Camp” sponsored by Entrepreneurship Development Institute of India, Ahmedabad under the Department of Science & Technology, Govt. of India on Nov 2015.