Suthagar S

@kongu.ac.in

Assistant Professor and Electronics & Communication Engineering
Kongu Engineering College

Suthagar S


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https://researchid.co/suthagar_s
* Kongu Engineering College, Professor (Assistant), July 2017 - Present, Location-Perundurai, India, Department of Electronics and Communication Engineering.
* Kings Engineering College,Professor (Assistant), June 2013 - May 2017, Location-Chennai, India, Department of Electronics and Communication Engineering.
* RRS College of Engineering and Technology, Professor (Assistant), October 2009 - December 2012, Location-Hyderabad, India, Department of Electronics and Communication Engineering.
*PMR Institute of Technology, Chennai, Professor (Assistant), June 2008 - September 2009, Location-Chennai, India, Department of Electronics and Communication Engineering.

EDUCATION

Master of Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Hardware and Architecture
17

Scopus Publications

110

Scholar Citations

6

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Automatic Retractable Car Shelter for Open Space Parking Users
    Suthagar S, Kavya M, Monika N, Karthikeyan J
    Proceedings of 2nd International Conference on Visual Analytics and Data Visualization Icvadv 2026, 2026
  • Determination and classification of human blood contamination diseases and Rh factor using ensemble algorithm
    Suthagar Subramaniyan, Mageshkumar Gunasekar, Tamilselvan Kumaravel Subramaniam, Murugesan Govindasamy, Lalithraj Subramaniyan
    High Performance Automation Methods for Computational Intelligent Systems Design and Enabling Technologies, 2025
    Blood is a major requirement for human survival. The analysis of the blood component plays a crucial role in the detection of diseases; it also contains various parameters for the detection of specific blood-related diseases. The correct segmentation of the blood cells improves the accuracy and level of illness detection. We determine and classify the human blood contamination disease and Rh factors using ensemble learning algorithms. Segmentation of blood cells is a tedious process, and the extraction of features is done to analyze particular diseases such as sickle cell disease, enzyme disorder, nutrition, and intestinal sickness. For the correct prediction of diseases, patterns of threshold value are identified precisely and recognized. Image classification is done by an image processing method that includes texture feature extraction using thresholding segmentation, morphology, and clustering algorithms. With 679 records, this study provides a distinct benchmark dataset. When compared to a neural network, the ensemble classifier had an accuracy of 95.16% in the diagnosis and categorization of different illnesses. The volume of data available has made machine learning an essential tool for modeling human processes in many fields, including medicine. In order to obtain high accuracy, classifiers are trained using this dataset. The study’s objective of helping physicians forecast blood diseases based on normal blood tests was accomplished when several classifiers were evaluated and an accuracy of up to 95.16% was attained.
  • Performance Analysis of Velostat, Conductive Fabric and Force Sensing Resistor for Incorporating Safety in Women's Jacket
    Suthagar S, Shriganth RA, Subash S, Vasanth M
    2024 International Conference on Emerging Smart Computing and Informatics Esci 2024, 2024
    Every day, harassment issues and crimes against women are increasing in India. When women are in danger, if there is no chance to access the mobile phones, then women cannot easily contact others for help. Women are affected physically and mentally, and many lives were lost. When affected, women suffer from psychological effects like depression and lowered self-esteem in addition to physical effects. A safety system in woman's jacket is used to detect harassment and to rescue women from harassment before being severely affected. It is also used to detect abnormal conditions in health by using heartbeat and body temperature sensors. Three piezoresistive materials such as Velostat, Force Sensing Resistor and conductive fabric are analyzed in which resistance is decreased when pressure is applied. These materials are analyzed and the results show that velostat is better than Force sensing resistor and conductive fabric. Velostat is implemented in the safety system and the system detects the pressure applied to a woman's body. If the pressure is greater than the threshold level, then the system sends the message along with the location with the help of GSM and GPS modules. In addition to the automatic detection of pressure, a push button is present in the circuit to send the message manually. Temperature sensors and pulse rate sensors are used to measure the body temperature and heartbeat of the woman. The system was implemented and tested with 15 people and it has an overall accuracy of 93.1%.
  • A Wearable Healthcare and Safety System for Industrial Workers with Emergency Communication Facility
    S. Suthagar, G. Mageshkumar, Sagguthi Prabhakara Rao, Raja R. Kumaran, M. Sandhiya, S. Sandiya
    Lecture Notes in Electrical Engineering, 2024
  • Flexi-Pay System for Public Transport Based on Passenger Comfort Using Global Positioning System
    G. Mageshkumar, S. Suthagar, D. Maher Shalal, S. Muruganantham, T. Manoji
    Lecture Notes in Networks and Systems, 2023
  • Identification of Respiratory Diseases and Diabetes by Non-invasive Method Using IoT
    S. Suthagar, G. Mageshkumar, K. Hemalatha, Saggurthi Prabhakara Rao, R. Mahesh, S. M. Kural Eniyavan
    Lecture Notes in Networks and Systems, 2023
  • Faecal Image-Based Chicken Disease Classification Using Deep Learning Techniques
    S. Suthagar, G. Mageshkumar, M. Ayyadurai, C. Snegha, M. Sureka, S. Velmurugan
    Lecture Notes in Networks and Systems, 2023
  • Design and Implementation of a Solar Powered Floating Device for Water Quality Monitoring in Inland Aquaculture Farms Using LoRa Wireless Communication
    G. Mageshkumar, Saggurthi Prabhakara Rao, S. Suthagar, K. Hemalatha, K. Gowtham, T. Hariharan
    Lecture Notes in Networks and Systems, 2023
  • Baby Incubator Monitoring System using Global System for Mobile Technology
    , Suthagar S., Mageshkumar G., , K. S. Tamilsevan, and
    Jurnal Kejuruteraan, 2022
    Giving birth to a child is one of the precious moments in life. Every second a life is brought into the world and not many children are lucky enough to be healthy. Monitoring the health conditions of a baby in the incubator is a critical medical issue. Many researchers are working in this area to improve the safety of newborn babies. As far as the study that we proceeded with, there exists a fundamental issue in ensuring whether the doctor has attended the emergency or not. In this paper, a system is proposed to monitor the baby inside the incubator using a global system for mobile technology (GSM). The proposed system detects the baby’s temperature, heartbeat, weight, and baby’s sound inside the incubator. If there are any changes in the above-said parameters beyond the threshold level, an intimation will be sent to the concerned doctor through the GSM. The system will keep sending the alert message to the doctor every minute until the doctor acknowledges the baby’s condition. This system will enhance the safety of newborn babies by addressing the above-said issue, thereby reducing the risk involved in monitoring the babies inside the incubator. A prototype is developed and it was tested for functional verification.
  • Analysis of Breast Cancer Classification using Various Algorithms
    Suthagar S, Snegha C, Sureka M, Velmurugan S
    Proceedings 6th International Conference on Computing Methodologies and Communication Iccmc 2022, 2022
    Invasive ductal carcinoma has become the most common types of tumors in recent years. The chances of the patient arriving in the case improve if the issue is detected early. The most prevalent classification for breast cancer is binary (benign cancer/malignant cancer), which allows pathologists to come up with a systematic and objective prognosis.The WBCD (Wisconsin Breast Cancer Diagnosis) dataset is used to build the classifier. Before performing the classification, the dataset is preprocessed and explored using various techniques. Four Machine Learning techniques like k-fold cross-validation, pipelining, principle component analysis(PCA), and hyperparameter optimization are compared and analyzed in the project. These techniques are applied to the development of eight classifiers that must distinguish between benign and malignant breast tumors. These techniques were applied on the Adaboost classifier, KNeighbor classifier, DT classifier, RF classifier, SVM classifier, Logistic regression classifier, Gaussian NB classifier, and Gradient boosting classifier. After applying all those algorithms, the SVM classifier has obtained the highest accuracy of 99.1% after applying all those algorithms on the dataset.
  • Performance Comparison of Parity Preserving Flip-Flops Using Parity Preserving Gates by Quantum Cellular Automata and Verilog
    S Suthagar, G Mageshkumar, M Ayyadurai, Saggurthi Prabhakara Rao, K Hemalatha, R Preethi
    7th International Conference on Communication and Electronics Systems Icces 2022 Proceedings, 2022
  • Design and Analysis of a Soft Gripper for Human Interactive Robot
    Mageshkumar G, Suthagar S, Mukilarasu N, Nandesh K S, Lakshmikanthan T, Tamilselvan K S
    Proceedings 6th International Conference on Computing Methodologies and Communication Iccmc 2022, 2022
  • Determination of Apple, Lemon, and Banana Ripening Stages Using Electronic Nose and Image Processing
    S. Suthagar, K. S. Tamilselvan, M. Priyadharshini, B. Nihila
    Lecture Notes in Electrical Engineering, 2021
  • A Case Study on Implementation of an Efficient and Cost-Effective Solar Power Generation System for Irrigation Purpose
    K. S. Tamilselvan, G. Mageshkumar, S. Suthagar, G. Murugesan
    Green Energy and Technology, 2020
  • Design of industrial data monitoring device using IoT through modbus protocol
    International Journal of Scientific and Technology Research, 2020
  • Automated milk quantity and quality checking and vending machine
    Suthagar S*, , K.S Tamilselvan, G.Magesh kumar, S. Muthupandiyan, Vibin Mammen Vinod, , , , and
    International Journal of Recent Technology and Engineering, 2019
  • Performance comparison of adaptive filters for speckle noise reduction in SAR images
    G. Mageshkumar, S. Suthagar, K. S. Tamilselvan
    Proceedings of IEEE International Conference on Intelligent Computing and Communication for Smart World I2c2sw 2018, 2018

RECENT SCHOLAR PUBLICATIONS

  • Automatic Retractable Car Shelter for Open Space Parking Users
    S Suthagar, M Kavya, N Monika, J Karthikeyan
    2026 International Conference on Visual Analytics and Data Visualization … , 2026
    2026
  • Determination and classification of human blood contamination diseases and Rh factor using ensemble algorithm
    S S, M Gunasekar, TK Subramaniam, M Govindasamy, L Subramaniyan
    High-Performance Automation Methods for Computational Intelligent Systems, 42-62 , 2025
    2025
  • Performance Analysis of Velostat, Conductive Fabric and Force Sensing Resistor for Incorporating Safety in Women's Jacket
    S Suthagar, RA Shriganth, S Subash, M Vasanth
    2024 International Conference on Emerging Smart Computing and Informatics … , 2024
    2024
    Citations: 2
  • A Wearable Healthcare and Safety System for Industrial Workers with Emergency Communication Facility
    S Suthagar, G Mageshkumar, SP Rao, RR Kumaran, M Sandhiya, ...
    International Conference on Robotics, Control, Automation and Artificial … , 2023
    2023
  • Identification of respiratory diseases and diabetes by non-invasive method using iot
    S Suthagar, G Mageshkumar, K Hemalatha, S Prabhakara Rao, ...
    Inventive Computation and Information Technologies: Proceedings of ICICIT … , 2023
    2023
    Citations: 2
  • Design and Implementation of a Solar Powered Floating Device for Water Quality Monitoring in Inland Aquaculture Farms Using LoRa Wireless Communication
    G Mageshkumar, SP Rao, S Suthagar, K Hemalatha, K Gowtham, ...
    Inventive Computation and Information Technologies: Proceedings of ICICIT … , 2023
    2023
    Citations: 2
  • Faecal image-based chicken disease classification using deep learning techniques
    S Suthagar, G Mageshkumar, M Ayyadurai, C Snegha, M Sureka, ...
    Inventive Computation and Information Technologies: Proceedings of ICICIT … , 2023
    2023
    Citations: 23
  • Flexi-Pay System for Public Transport Based on Passenger Comfort Using Global Positioning System
    G Mageshkumar, S Suthagar, D Maher Shalal, S Muruganantham, ...
    Inventive Computation and Information Technologies: Proceedings of ICICIT … , 2023
    2023
    Citations: 1
  • High Performance and Area Efficient Multi-Operand Binary Tree Adder
    S SUTHAGAR
    2023
  • Baby Incubator Monitoring System using Global System for Mobile Technology
    S S, MGKS Tamilsevan
    Jurnal Kejuruteraan (Journal of Engineering) 34 (5), 899-904 , 2022
    2022
  • Performance comparison of parity preserving flip-flops using parity preserving gates by quantum cellular automata and verilog
    S Suthagar, G Mageshkumar, M Ayyadurai, SP Rao, K Hemalatha, ...
    2022 7th International Conference on Communication and Electronics Systems … , 2022
    2022
    Citations: 3
  • Analysis of breast cancer classification using various algorithms
    S S, C Snegha, M Sureka, S Velmurugan
    2022 6th International Conference on Computing Methodologies and … , 2022
    2022
    Citations: 5
  • Design and Analysis of a Soft Gripper for Human Interactive Robot
    G Mageshkumar, S Suthagar, N Mukilarasu, KS Nandesh, ...
    2022 6th International Conference on Computing Methodologies and … , 2022
    2022
  • Design and Analysis of a Soft Gripper for Human Interactive Robot
    S Suthagar
    IEEE , 2022
    2022
  • Baby Incubator Monitoring System using Global System for Mobile Technology
    S Sa, M Ga, KS Tamilsevana
    Jurnal Kejuruteraan 34 (5), 899-904 , 2022
    2022
    Citations: 1
  • Determination of apple, lemon, and banana ripening stages using electronic nose and image processing
    S S, KS Tamilselvan, M Priyadharshini, B Nihila
    Innovations in Cyber Physical Systems: Select Proceedings of ICICPS 2020 … , 2021
    2021
    Citations: 12
  • A Case Study on Implementation of an Efficient and Cost-Effective Solar Power Generation System for Irrigation Purpose
    KS Tamilselvan, G Mageshkumar, S Suthagar, G Murugesan
    Advances in Greener Energy Technologies, 807-815 , 2020
    2020
    Citations: 1
  • Translation of Sign Language for Deaf and Dumb People
    Suthagar S, K.S.Tamilselvan, P.Balakumar, B.Rajalakshmi, C.Roshini
    International Journal of Recent Technology and Engineering (IJRTE) 8 (5 … , 2020
    2020
    Citations: 12
  • Design Of Industrial Data Monitoring Device Using IoT Through MODBUS Protocol
    SS G.Mageshkumar, Kasthuri N, Tamilselvan K S
    International Journal Of Scientific & Technology Research 9 (1), 1392-1396 , 2020
    2020
    Citations: 19
  • Fuzzy Based Image Segmentation Method for Defect detection in Ceramic Tiles
    GM G.Murugesan , V.C.Diniesh , S.Suthagar
    IN Patent G01N2021/8,887 , 2019
    2019

MOST CITED SCHOLAR PUBLICATIONS

  • Faecal image-based chicken disease classification using deep learning techniques
    S Suthagar, G Mageshkumar, M Ayyadurai, C Snegha, M Sureka, ...
    Inventive Computation and Information Technologies: Proceedings of ICICIT … , 2023
    2023
    Citations: 23
  • Design Of Industrial Data Monitoring Device Using IoT Through MODBUS Protocol
    SS G.Mageshkumar, Kasthuri N, Tamilselvan K S
    International Journal Of Scientific & Technology Research 9 (1), 1392-1396 , 2020
    2020
    Citations: 19
  • Determination of apple, lemon, and banana ripening stages using electronic nose and image processing
    S S, KS Tamilselvan, M Priyadharshini, B Nihila
    Innovations in Cyber Physical Systems: Select Proceedings of ICICPS 2020 … , 2021
    2021
    Citations: 12
  • Translation of Sign Language for Deaf and Dumb People
    Suthagar S, K.S.Tamilselvan, P.Balakumar, B.Rajalakshmi, C.Roshini
    International Journal of Recent Technology and Engineering (IJRTE) 8 (5 … , 2020
    2020
    Citations: 12
  • “Smart Surveillance Camera Using Raspberry Pi 2 and Opencv”
    S Suthagar, AS Ponmalar, B Benita
    International Journal of Advanced Research Trends in Engineering and … , 2016
    2016
    Citations: 8
  • Automated Milk Quantity and Quality Checking and Vending Machine
    MS Suthagar S, Tamilselvan K S, Mageshkumar G
    International Journal of Recent Technology and Engineering (IJRTE) 8 (3 … , 2019
    2019
    Citations: 7
  • Analysis of breast cancer classification using various algorithms
    S S, C Snegha, M Sureka, S Velmurugan
    2022 6th International Conference on Computing Methodologies and … , 2022
    2022
    Citations: 5
  • Advanced Online Examination using Raspberry Pi
    SHR Suthagar S, M.Joshua John
    International Journal of Advanced Research Trends in Engineering and … , 2017
    2017
    Citations: 4
  • Performance comparison of parity preserving flip-flops using parity preserving gates by quantum cellular automata and verilog
    S Suthagar, G Mageshkumar, M Ayyadurai, SP Rao, K Hemalatha, ...
    2022 7th International Conference on Communication and Electronics Systems … , 2022
    2022
    Citations: 3
  • Android Based Vehicle Speed Control System In Critical Zones Using GPS Technology
    GM K.S.Tamilselvan, Suthagar S
    International Journal of Advanced Research in Electronics and Communication … , 2018
    2018
    Citations: 3
  • Performance Analysis of Velostat, Conductive Fabric and Force Sensing Resistor for Incorporating Safety in Women's Jacket
    S Suthagar, RA Shriganth, S Subash, M Vasanth
    2024 International Conference on Emerging Smart Computing and Informatics … , 2024
    2024
    Citations: 2
  • Identification of respiratory diseases and diabetes by non-invasive method using iot
    S Suthagar, G Mageshkumar, K Hemalatha, S Prabhakara Rao, ...
    Inventive Computation and Information Technologies: Proceedings of ICICIT … , 2023
    2023
    Citations: 2
  • Design and Implementation of a Solar Powered Floating Device for Water Quality Monitoring in Inland Aquaculture Farms Using LoRa Wireless Communication
    G Mageshkumar, SP Rao, S Suthagar, K Hemalatha, K Gowtham, ...
    Inventive Computation and Information Technologies: Proceedings of ICICIT … , 2023
    2023
    Citations: 2
  • Performance comparison of adaptive filters for speckle noise reduction in SAR images
    G Mageshkumar, S Suthagar, KS Tamilselvan
    2018 International Conference on Intelligent Computing and Communication for … , 2018
    2018
    Citations: 2
  • Adhar Based Electronic Voting System and Providing Authentication on Internet Of Things
    JA Suthagar S, T.Jesammal
    The Third International Conference on Electrical, Electronics and Computer … , 2017
    2017
    Citations: 2
  • Flexi-Pay System for Public Transport Based on Passenger Comfort Using Global Positioning System
    G Mageshkumar, S Suthagar, D Maher Shalal, S Muruganantham, ...
    Inventive Computation and Information Technologies: Proceedings of ICICIT … , 2023
    2023
    Citations: 1
  • Baby Incubator Monitoring System using Global System for Mobile Technology
    S Sa, M Ga, KS Tamilsevana
    Jurnal Kejuruteraan 34 (5), 899-904 , 2022
    2022
    Citations: 1
  • A Case Study on Implementation of an Efficient and Cost-Effective Solar Power Generation System for Irrigation Purpose
    KS Tamilselvan, G Mageshkumar, S Suthagar, G Murugesan
    Advances in Greener Energy Technologies, 807-815 , 2020
    2020
    Citations: 1
  • IOT BASED ONLINE TRANSFORMER MAINTENANCE SYSTEM
    SS Tamilselvan KS
    Indian Journal of Applied Research 9 (1) , 2019
    2019
    Citations: 1
  • Automatic Retractable Car Shelter for Open Space Parking Users
    S Suthagar, M Kavya, N Monika, J Karthikeyan
    2026 International Conference on Visual Analytics and Data Visualization … , 2026
    2026