Mohan Kumar P

@psnacet.edu.in

Assistant Professor and Biomedical Engineering
PSNA College of Engineering and Technology

Mohan Kumar P


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https://researchid.co/mohankumarp

EDUCATION

M.E Medical electronics
B.E EIE

RESEARCH INTERESTS

Image Processing
8

Scopus Publications

24

Scholar Citations

2

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • An Ensemble Approach for Tuberculosis Detection Using Bronchoscopy Diagnosis in Convolutional Neural Network and Residual Networks Through Feature Fusion
    R. Santhosini, P. Mohan Kumar, B. Subha
    Lecture Notes in Networks and Systems, 2026
  • A Novel Deep Learning Model Based Cancerous Lung Nodules Severity Grading Framework Using CT Images
    P. Mohan Kumar, V. E. Jayanthi
    International Journal of Imaging Systems and Technology, 2025
    Lung cancer remains one of the leading causes of cancer‐related mortality, with early diagnosis being critical for improving patient survival rates. Existing deep learning models for lung nodule severity classification face significant challenges, including overfitting, computational inefficiency, and inaccurate segmentation of nodules from CT images. To overcome these limitations, this study proposes a novel deep learning framework integrating a Quadrangle Attention‐based U‐shaped Convolutional Transformer (QA‐UCT) for segmentation and a Spatial Attention‐based Multi‐Scale Convolution Network (SMCN) for classification. CT images are enhanced using the Rotationally Invariant Block Matching‐based Non‐Local Means (RIB‐NLM) filter to remove noise while preserving structural details. The QA‐UCT model leverages transformer‐based global attention mechanisms combined with convolutional layers to segment lung nodules with high precision. The SMCN classifier employs spatial attention mechanisms to categorize nodules as solid, part‐solid, or non‐solid based on severity. The proposed model was evaluated on the Lung Image Database Consortium and Image Database Resource Initiative (LIDC‐IDRI) dataset. This proposed model achieves a 98.73% dice score for segmentation and 99.56% classification accuracy, outperforming existing methods such as U‐Net, VGG, and autoencoders. Improved precision and recall demonstrate superior performance in lung nodule grading. This study introduces a transformer‐enhanced segmentation and spatial attention based classification framework that significantly improves lung nodule detection accuracy. The integration of QA‐UCT and SMCN enhances both segmentation precision and classification reliability. Future research will explore adapting this framework for liver and kidney segmentation, as well as optimizing computational efficiency for real‐time clinical deployment.
  • Smart Nanomaterials for Medical Applications: Exploring the Future of Biocompatibility, Nanorobotics, and Real-Time Monitoring in Healthcare
    R. Venkatesh, S. Sriram, S. Selvakumar, P. Mohan Kumar, L. Vadivel Kannan
    Advanced Materials for Biomedical Devices Insights from AI and Nanotechnology, 2025
  • Advanced Machine Learning Techniques for Autism Spectrum Disorder Diagnosis: A Multimodal Data Fusion Approach
    Delshi Howsalya Devi. R, Avinash. P, S. Renukadevi, Priyadharshini. S, P. Mohankumar, et al.
    Proceedings of the 9th International Conference on Inventive Systems and Control Icisc 2025, 2025
  • Multi-Model Acquisition of Physiological Response for Emotion determination
    P Mohan Kumar, K Praghathiswari, S Saranya, Ve Jayanthi
    2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2024, 2024
    Emotion is a mental state connected by the nervous system that alters feeling, behavioral responses, thoughts, and the level of pleasure or displeasure. Emotion is a core in how we behave and influence the decision that we make in our life. This system is lodged to determine the emotion by the physiological responses that change with autonomous nervous system activity. This system is incorporated with non-invasive and low-cost sensors that measure physiological signals and with LCD as a display. Sensors are clubbed together for accurate results. The parameters measured are heart rate, blood pressure, temperature, and galvanic skin response (GSR). The variations in these parameters are discovered by using the Arduino interface. This device uses the Aurdino interface and experiment on real-life scenarios has an accurate outcome. The emotional characteristics such as happiness, sadness, fear, anger, surprise, and disgust were determined. The system was tested with 60 subjects and the results were tabulated.
  • Determination of Breast Cancer Using Neural Networks
    B. Mahalakshmi, D. Vidhya, N. Niroja, P. Mohankumar
    IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing Incos 2019, 2019
    Breast cancer is the second leading causes of disease in women. In practice effective ways to prevent breast cancer is still researched for a better solution, since the cause is not yet organised completely. Early detection is an effective way to diagnose and manage breast cancer can give better chance of full recovery. This work focuses on detection of breast cancer in digital mammograms. In this paper various preprocessing methods, segmentation process and classifier were discussed. In our work, Support Vector Machine is used to show accuracy on the breast cancer image. The accuracy test we had undergone using three SVM techniques.
  • Analysis of biomaterials for designing prosthetic limbs
    International Journal of Mechanical Engineering and Technology, 2018
  • Physiological problems and quality of life of patients with breast cancer: A review
    P KUMAR, J.V JEBASINGH
    Biomedical and Pharmacology Journal, 2015
    Breast cancer is not only the second most prevalent type of cancer, but also most frequent cause of cancer deaths in women. Breast cancer is a steroid hormone dependent tumor. In worldwide breast cancer considered to be the important and prevalent cancer among women. The disease itself may have an impact on the patient’s psychological well-being and quality of life. Breast cancer patients with depression during treatment are found to have poorer health related quality of life. Still a lot of differences were observed between depression and treatment type. In this paper breast cancer related physiological problems, treatment processes and quality of life based on these processes are reviewed. Result: After thorough review of various works and observation of studies it is concluded that the screening practices of breast cancer is still low and Patient health related quality of life should be improved.

RECENT SCHOLAR PUBLICATIONS

  • 250 Smart Nanomaterials for Medical Applications: Exploring the Future of Biocompatibility, Nanorobotics, and Real-Time Monitoring in Healthcare
    R Venkatesh, S Sriram, S Selvakumar, PM Kumar, LV Kannan
    Advanced Materials for Biomedical Devices: Insights from AI and … , 2026
    2026.0
  • Advanced Machine Learning Techniques for Autism Spectrum Disorder Diagnosis: A Multimodal Data Fusion Approach
    S Renukadevi, P Mohankumar, P Sangeeth
    2025 9th International Conference on Inventive Systems and Control (ICISC … , 2025
    2025.0
  • A Novel Deep Learning Model Based Cancerous Lung Nodules Severity Grading Framework Using CT Images
    P Mohan Kumar, VE Jayanthi
    International Journal of Imaging Systems and Technology 35 (4), e70134 , 2025
    2025.0
    Citations: 1
  • An Ensemble Approach for Tuberculosis Detection Using Bronchoscopy Diagnosis in Convolutional Neural Network and Residual Networks Through Feature Fusion
    R Santhosini, P Mohan Kumar, B Subha
    International Conference on Information and Communication Technology for … , 2025
    2025.0
  • Multi-Model Acquisition of Physiological Response for Emotion determination
    PM Kumar, K Praghathiswari, S Saranya, V Jayanthi
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024.0
  • Machine learning based approaches for healthcare fraud detection: A comparative analysis
    S Lavanya, SM Kumar, PM Kumar
    Annals of the Romanian Society for Cell Biology 25 (3), 8644-8654 , 2021
    2021.0
    Citations: 18
  • Determination of Breast Cancer Using Neural Networks
    B Mahalakshmi, D Vidhya, N Niroja, P Mohan kumar
    2019 IEEE International Conference on Intelligent Techniques in Control … , 2020
    2020.0
    Citations: 1
  • Power Spectral Density for Detecting White Space in Wavelet Based Spectrum
    VE Jayanthi, P Mohan Kumar, S Sriram, M Jagannath, ...
    International Journal of Advanced Science and Technology 29 (9), 7148-7153 , 2020
    2020.0
    Citations: 2
  • ANALYSIS OF BIOMATERIALS FOR DESIGNING PROSTHETIC LIMBS
    S Sriram, P MohanKumar, B Subha, A Vanitha
    International Journal of Mechanical Engineering and Technology 9 (11), 2361-2367 , 2018
    2018.0
  • CLASSIFICATION OF HEART SOUNDS USING DISCRETE WAVELET TRANSFORM (DWT) AND ANN
    J MUKESH, S RAGHAV PRASADH, GJ AKILAN MARTIN, ...
    JOURNAL FOR ADVANCED RESEARCH IN APPLIED SCIENCES, 633-638 , 2018
    2018.0
  • FOOT PLANTAR PRESSURE MONITORING USING WEARABLE DEVICE FOR PATIENTS
    P Pragatheesh, M Shyam kumar, B Vivek, P Mohan kumar
    JOURNAL FOR ADVANCED RESEARCH IN APPLIED SCIENCES, 627-632 , 2018
    2018.0
  • A novel idea on semi-automated operation theatre assistance for doctors based on Robotic Technology
    P Mohan Kumar, S Sriram
    The International Journal of Engineering and Science (THE IJES) 5 (12), 90-92 , 2016
    2016.0
  • Physiological Problems and Quality of life of Patients with Breast cancer: A Review
    PM Kumar, JVJ Jebasingh
    Biomedical and Pharmacology Journal 8 (2), 683-686 , 2015
    2015.0
  • Low Cost Transmission Of Voice And DTMF Signals Using LASER Torch
    P Mohan Kumar
    International Journal of Technology Enhancements and Emerging Engineering … , 2015
    2015.0
  • A research work on identification of cardiac disorders using labview
    M Kumar, K Umesh, G Pandiaraja, S Thomas, M Venkatesh
    2014.0
    Citations: 2
  • An novel idea to improve the Drop foot using a stimulator cum tilt sensor
    P.Mohan Kumar, N.Gurusamy
    International Journal of Engineering Science and Innovative Technology 2 (6 … , 2013
    2013.0
  • Driver Drowsiness Detection System – Nurturing Human Welfare
    M KathirarasiHasmi, P MohanKumar
    Journal of Hindustan Group of Institutions 4, 105-109 , 2011
    2011.0
  • An Ensemble Approach for Tuberculosis Detection Using Bronchoscopy Diagnosis
    R Santhosini, PM Kumar, B Subha
    ICT for Intelligent Systems: Proceedings of ICTIS 2025, Volume 3, 293 , 0
  • Smart Nanomaterials for Medical Applications: Exploring the Future of Biocompatibility, Nanorobotics, and Real-Time Monitoring in Healthcare
    R Venkatesh, S Sriram, S Selvakumar, PM Kumar, LV Kannan
    Advanced Materials for Biomedical Devices, 250-269 , 0
  • Detecting Disease from Respiratory Audio
    M Subhash, A Mittal, A Raj, A Verma, PM Kumar

MOST CITED SCHOLAR PUBLICATIONS

  • Machine learning based approaches for healthcare fraud detection: A comparative analysis
    S Lavanya, SM Kumar, PM Kumar
    Annals of the Romanian Society for Cell Biology 25 (3), 8644-8654 , 2021
    2021.0
    Citations: 18
  • Power Spectral Density for Detecting White Space in Wavelet Based Spectrum
    VE Jayanthi, P Mohan Kumar, S Sriram, M Jagannath, ...
    International Journal of Advanced Science and Technology 29 (9), 7148-7153 , 2020
    2020.0
    Citations: 2
  • A research work on identification of cardiac disorders using labview
    M Kumar, K Umesh, G Pandiaraja, S Thomas, M Venkatesh
    2014.0
    Citations: 2
  • A Novel Deep Learning Model Based Cancerous Lung Nodules Severity Grading Framework Using CT Images
    P Mohan Kumar, VE Jayanthi
    International Journal of Imaging Systems and Technology 35 (4), e70134 , 2025
    2025.0
    Citations: 1
  • Determination of Breast Cancer Using Neural Networks
    B Mahalakshmi, D Vidhya, N Niroja, P Mohan kumar
    2019 IEEE International Conference on Intelligent Techniques in Control … , 2020
    2020.0
    Citations: 1
  • 250 Smart Nanomaterials for Medical Applications: Exploring the Future of Biocompatibility, Nanorobotics, and Real-Time Monitoring in Healthcare
    R Venkatesh, S Sriram, S Selvakumar, PM Kumar, LV Kannan
    Advanced Materials for Biomedical Devices: Insights from AI and … , 2026
    2026.0
  • Advanced Machine Learning Techniques for Autism Spectrum Disorder Diagnosis: A Multimodal Data Fusion Approach
    S Renukadevi, P Mohankumar, P Sangeeth
    2025 9th International Conference on Inventive Systems and Control (ICISC … , 2025
    2025.0
  • An Ensemble Approach for Tuberculosis Detection Using Bronchoscopy Diagnosis in Convolutional Neural Network and Residual Networks Through Feature Fusion
    R Santhosini, P Mohan Kumar, B Subha
    International Conference on Information and Communication Technology for … , 2025
    2025.0
  • Multi-Model Acquisition of Physiological Response for Emotion determination
    PM Kumar, K Praghathiswari, S Saranya, V Jayanthi
    2024 4th International Conference on Advance Computing and Innovative … , 2024
    2024.0
  • ANALYSIS OF BIOMATERIALS FOR DESIGNING PROSTHETIC LIMBS
    S Sriram, P MohanKumar, B Subha, A Vanitha
    International Journal of Mechanical Engineering and Technology 9 (11), 2361-2367 , 2018
    2018.0
  • CLASSIFICATION OF HEART SOUNDS USING DISCRETE WAVELET TRANSFORM (DWT) AND ANN
    J MUKESH, S RAGHAV PRASADH, GJ AKILAN MARTIN, ...
    JOURNAL FOR ADVANCED RESEARCH IN APPLIED SCIENCES, 633-638 , 2018
    2018.0
  • FOOT PLANTAR PRESSURE MONITORING USING WEARABLE DEVICE FOR PATIENTS
    P Pragatheesh, M Shyam kumar, B Vivek, P Mohan kumar
    JOURNAL FOR ADVANCED RESEARCH IN APPLIED SCIENCES, 627-632 , 2018
    2018.0
  • A novel idea on semi-automated operation theatre assistance for doctors based on Robotic Technology
    P Mohan Kumar, S Sriram
    The International Journal of Engineering and Science (THE IJES) 5 (12), 90-92 , 2016
    2016.0
  • Physiological Problems and Quality of life of Patients with Breast cancer: A Review
    PM Kumar, JVJ Jebasingh
    Biomedical and Pharmacology Journal 8 (2), 683-686 , 2015
    2015.0
  • Low Cost Transmission Of Voice And DTMF Signals Using LASER Torch
    P Mohan Kumar
    International Journal of Technology Enhancements and Emerging Engineering … , 2015
    2015.0
  • An novel idea to improve the Drop foot using a stimulator cum tilt sensor
    P.Mohan Kumar, N.Gurusamy
    International Journal of Engineering Science and Innovative Technology 2 (6 … , 2013
    2013.0
  • Driver Drowsiness Detection System – Nurturing Human Welfare
    M KathirarasiHasmi, P MohanKumar
    Journal of Hindustan Group of Institutions 4, 105-109 , 2011
    2011.0
  • An Ensemble Approach for Tuberculosis Detection Using Bronchoscopy Diagnosis
    R Santhosini, PM Kumar, B Subha
    ICT for Intelligent Systems: Proceedings of ICTIS 2025, Volume 3, 293 , 0
  • Smart Nanomaterials for Medical Applications: Exploring the Future of Biocompatibility, Nanorobotics, and Real-Time Monitoring in Healthcare
    R Venkatesh, S Sriram, S Selvakumar, PM Kumar, LV Kannan
    Advanced Materials for Biomedical Devices, 250-269 , 0
  • Detecting Disease from Respiratory Audio
    M Subhash, A Mittal, A Raj, A Verma, PM Kumar