Dr.A.Mummoorthy

@mrcet.ac.in

Associate Professor ,Department of IT, Malla Reddy College of Engineering and Technology
Malla Reddy College of Engineering and Technology

Dr.A.Mummoorthy


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https://researchid.co/amummoorthy
20

Scopus Publications

117

Scholar Citations

6

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Transformer-based Self-supervised Learning for Automated Detection of Rare Pathologies in High-resolution 3D Medical Imaging
    M Nisha Angeline, SK Manikandan, GR Sakthidharan, M Indumathi, K Ganesh Kumar, A Mummoorthy
    International Research Journal of Multidisciplinary Scope, 2026
    Computational diagnosis of rare pathologies in high-resolution 3D medical images is a challenging task, as it suffers from scarce labelled data in the presence of subtle disease presentation and demand for effectual volumetric representations. Towards this goal, this work introduces a transformer-based self-supervised learning framework that uses abundant unlabelled MRI and CT scans to learn universal anatomical representations without requiring manual label annotation. The model features masked volume modelling, in which randomly occluded 3D patches are modelled to deal with long-range spatial dependencies. Following pre-training, the model is fine-tuned with a few labelled samples from rare brain and lung pathologies. Experimental results on the BraTS 2021 and LIDC-IDRI datasets show that its performance surpasses supervised U-Net and ResNet-3D baselines with higher Dice and AUC-ROC scores. Attention maps offer interpretability by highlighting the clinically relevant areas that affect model predictions. The findings suggest self-supervised transformer architectures as a scalable and data-efficient approach to rare pathology detection in 3D medical imaging.
  • Real-Time Violence Detection and Alert System Using MobileNetV2 and Telegram Bot
    Mannu Thomas, P. Balamurugan, A. Mummoorthy
    Lecture Notes in Networks and Systems, 2025
  • Enhancing Disaster Response: A Dual-Drone Approach for Efficient Area Scanning and Life Detection
    A. Mummoorthy, P. Balamurugan, Anitha Patibandla
    Lecture Notes in Networks and Systems, 2025
  • Multicenter Trial: VR-AI Therapy for Neurodevelopment in Children with Mental Disorders
    Pavithra, A. Mummoorthy, M. Yuvaraj, K. Dinesh Kumar
    Lecture Notes in Networks and Systems, 2025
  • Enhanced Accident Detection in Low-Light Conditions Through Analysis of CCTV Footage in Real-Time
    S. Goutham Kumar Reddy, M. Sampreeth, K. Sai Vardhan Reddy, P. Balamurugan, A. Mummoorthy
    Lecture Notes in Networks and Systems, 2025
  • Intelligent Breast Cancer Screening using Deep Learning Models
    S. K.Manikandan, E.Pavithra, M.Nisha Angeline, A.Mummoorthy, Mohaideen.A, S.Vinayagan
    Proceedings 3rd International Conference on Self Sustainable Artificial Intelligence Systems Icssas 2025, 2025
    A significant proportion of cancer deaths are attributed to breast cancer and it point out the importance of early detection for improved chances of survival. Traditional diagnostic methods such as biopsies and imaging, often require extensive manual interpretation, leading to inconsistencies. Advances in artificial intelligence offer precise, automated, and interpretable diagnostic tools to enhance breast cancer detection. This framework integrates deep learning techniques, beginning with Zero-Shot Classification using the CLIP model, allowing initial categorization without extensive dataset-specific training. It is followed by Few-Shot Classification with a fine-tuned ResNet50 model, improving classification accuracy even with limited labeled data. Heatmaps generated through Grad-CAM highlight crucial areas in tissue samples, aiding interpretability for healthcare professionals.Performance is evaluated using precision, recall, F1-score, and accuracy, ensuring reliability. Additionally, GPT-Neo generates detailed BI-RADS-compliant reports, facilitating effective communication between radiologists and clinicians. Unlike traditional manual reporting, this automated approach enhances efficiency, consistency, and scalability while reducing human error. The framework’s ability to learn from minimal labeled data makes it highly adaptable and cost-effective for widespread clinical implementation, providing an advanced AI-driven solution for breast cancer diagnosis with improved accuracy and interpretability using Gradecam++ tool.
  • ONTOLOGY-ENABLED DIGITAL TWIN DESIGN WITH AI-BASED DATA MANAGEMENT AND PRIVACY-PRESERVING MECHANISMS FOR SECURE 6G COMMUNICATION SYSTEMS
    Mummoorthy A., Rajeswari M., Krishnapriya K.S., Krithika S., Gafur Namazov, Nalini M.
    Archives for Technical Sciences, 2025
    Sixth generation (6G) communication networks are anticipated to facilitate the achievement of ultra-low latency, massive device connections, intelligent automation, and high-security in the end-to-end connectivity to accommodate new applications, including autonomous systems, immersive communications, and massive infrastructures of cyber-physical uses. In this regard, Digital Twin (DT) technology has experienced a lot of interest to present real-time virtual copies of the physical entities in the network, where predictive analysis, pre-emptive optimization, and self-managed network management can be provided. Nonetheless, the current DT-based wireless network frameworks have shortcomings in semantic interoperability, scalability, and data management, which do not provide much privacy protection in the highly distributed space. To overcome these drawbacks, this paper suggests introducing an ontology-based digital twin framework that is combined with AI-based data management and privacy protection tools that could be implemented to support the implementation of secure 6G communication systems. The offered framework uses domain-specific semantic ontologies to formally describe 6G network components, services, and security policies on the basis of which knowledge interoperability and context-aware reasoning could be ensured among heterogeneous network layers. Algorithms based on powerful machine learning are integrated in order to achieve intelligent prediction of traffic, adaptable resource distribution, anomaly detection, and a self-regulating system of network controls in the digital twin setting. Moreover, privacy-sensitive technologies, such as federated learning, differential privacy, and secure multi-party computation, are also integrated to secure delicate network information and ensure reliable AI activities. The proposed solution shows that the traffic prediction accuracy is represented by R 2 of 0.76, and the path coefficients of the proposed AI-driven network transformation and privacy protection efficacy are 0.45 (p < 0.001) and 0.38 (p < 0.001), respectively. Network resilience has an explained variance (R 2) of 0.72, which implies that the model fits well. An elaborate workflow model and system architecture are provided, and the performance and security analysis is done. The findings reveal that the suggested solution is highly effective to advance network intelligence, enhance privacy protection, and increase the resilience to cyber threats, and thus can be discussed as a powerful and scalable solution to achieve secure, intelligent, and autonomous network ecosystems of 6G.
  • CLOUD AND EDGE COMPUTING SECURITY USING ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING TECHNIQUES
    Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity, 2024
  • Vogt AI: A Deep Learning Framework for Early Detection and Severity Grading of Diabetic Macular Edema Through Retinal Imaging and Clinical Insights
    E. Pavithra, A. Mummoorthy, S.K. Manikandan, Yuvaraj.M, N.S. Gowri Ganesh, M Gayatri
    2nd International Conference on Emerging Research in Computational Science Icercs 2024, 2024
    This study introduces Vogt AI, an advanced system for detecting diabetic macular edema (DME) through retinal fundus images and clinical data integration. The system incorporates several specialized components MaculaSegmentationNet (U-Net), designed to accurately isolate the macula region in retinal images, enhancing segmentation precision, DME Feature Extractor Net (CNN), which extracts critical features indicative of DME, such as exudates and retinal thickening, and an SVM classifier, which classifies retinal images as either "DME" or "Healthy Eye," with optional severity assessment. For explainability, DME Grad Cam (Grad-CAM) and DME Feature Shapley (SHAP) provide interpretability by visualizing the model’s decision-making process. Additionally, DME Risk Factor Predictor analyzes clinical data to refine DME risk predictions, further enhancing model accuracy. Experimental results show a classification accuracy of 91.8%, with strong sensitivity, specificity, and AUCROC metrics, confirming the model’s potential for early DME detection and personalized management. These findings position Vogt AI as a valuable tool in both clinical and research settings for detecting and managing DME.
  • AI, IoT, and Blockchain Breakthroughs in E-Governance
    Saini, Kavita 1976-, Gowri Ganesh, N. S. 1971-, Mummoorthy, A. 1983-, Chandrika, Roopa 1976-
    AI Iot and Blockchain Breakthroughs in E Governance, 2023
    "The goal of this book is to clearly define and emphasize various AI algorithms, as well as new IoT and blockchain breakthroughs in the field of e-governance. The discipline of data analytics, security is on the verge of reaching new heights, thanks to the introduction of AI capabilities. Every chapter will cover blockchain technology, ML and DL algorithms, their origins, problems and benefits and various government use cases, to clearly explain the growing power of AI and security algorithms for the development and operation of e-governance applications. A thorough in-depth understanding of AI algorithms through real use case application can help to kindle interest in research. Students, scholars, bureaucrats, industrialists in and scientists interested in AI , cybersecurity and blockchain can greatly benefit from this book."
  • Preface
    AI Iot and Blockchain Breakthroughs in E Governance, 2023
  • Handle the Sybil Attack Using Hash Technique in Vehicular Ad Hoc Networks
    A. Mummoorthy, N. S. Gowri Ganesh, R. Roopa Chandrika, P. Swetha
    Smart Innovation Systems and Technologies, 2023
  • Spark Streaming for Predictive Business Intelligence
    N.S.Gowri Ganesh, A. Mummoorthy, R.Roopa Chandrika, Anantha Raman G.R.
    2019 International Conference on Emerging Trends in Science and Engineering Icese 2019, 2019
  • Real-Time Traffic Monitoring System Using Spark
    A. Saraswathi, A. Mummoorthy, Anantha Raman G.R., K.P. Porkodi
    2019 International Conference on Emerging Trends in Science and Engineering Icese 2019, 2019
  • Vehicle Detection and Classification using Image processing
    R.Roopa Chandrika, N.S.Gowri Ganesh, A. Mummoorthy, K.M.Karthick Raghunath
    2019 International Conference on Emerging Trends in Science and Engineering Icese 2019, 2019
  • Satellite Image processing Biomass Estimation
    A. Mummoorthy, R.Roopa Chandrika, N.S.Gowri Ganesh, E. Pavithra
    2019 International Conference on Emerging Trends in Science and Engineering Icese 2019, 2019
  • Fleet management and vehicle routing in real time using parallel computing algorithms
    A. Mummoorthy, R. Mohanasundaram, Shubham Saraff, R. Arun
    Advances in Intelligent Systems and Computing, 2019
  • Consistent and effective energy utilisation of node model for securing data in wireless sensor networks
    P. Balamurugan, Marimuthu Karuppiah, A. Mummoorthy, A.M. Viswabharathi, R. Niranchana
    International Journal of Grid and Utility Computing, 2018
  • Novel approaches of biometric finger print minutiae detection and extraction process
    International Journal of Mechanical Engineering and Technology, 2017
  • Jammer localizatoin in wireless sensor network using percolation and poisson process
    Asian Journal of Information Technology, 2016

RECENT SCHOLAR PUBLICATIONS

  • Formulation, optimization, and in-vitro diffusion studies of novel niosomal gel of miconazole nitrate
    A Mummoorthy, A Karthikeyan, A Rajendran, K Suresh, A Balu
    Journal of Applied Pharmaceutical Research 14 (2), 76-88 , 2026
    2026
  • Intelligent Breast Cancer Screening using Deep Learning Models
    SK Manikandan, E Pavithra, MN Angeline, A Mummoorthy, S Vinayagan
    2025 3rd International Conference on Self Sustainable Artificial … , 2025
    2025
  • in Low-Light Conditions Through Analysis of CCTV Footage in Real-Time
    SGK Reddy, M Sampreeth, KSV Reddy, P Balamurugan, A Mummoorthy
    Soft Computing and Signal Processing: Proceedings of 7th ICSCSP 2024, Volume … , 2025
    2025
  • Vogt AI: a deep learning framework for early detection and severity grading of diabetic macular edema through retinal imaging and clinical insights
    E Pavithra, A Mummoorthy, SK Manikandan, NSG Ganesh, M Gayatri
    2024 International Conference on Emerging Research in Computational Science … , 2024
    2024
    Citations: 1
  • Cloud and edge computing security using artificial intelligence and soft computing techniques
    NSG Ganesh, RR Chandrika, A Mummoorthy
    The fusion of artificial intelligence and soft computing techniques for … , 2024
    2024
    Citations: 2
  • Multicenter trial: VR-AI therapy for neurodevelopment in children with mental disorders
    Pavithra, A Mummoorthy, M Yuvaraj, K Dinesh Kumar
    International Conference on Soft Computing and Signal Processing, 415-423 , 2024
    2024
    Citations: 1
  • Enhancing Disaster Response: A Dual-Drone Approach for Efficient Area Scanning and Life Detection
    A Mummoorthy, P Balamurugan, A Patibandla
    International Conference on Soft Computing and Signal Processing, 703-713 , 2024
    2024
  • Enhanced Accident Detection in Low-Light Conditions Through Analysis of CCTV Footage in Real-Time
    S Goutham Kumar Reddy, M Sampreeth, K Sai Vardhan Reddy, ...
    International Conference on Soft Computing and Signal Processing, 217-227 , 2024
    2024
    Citations: 1
  • Real-Time Violence Detection and Alert System Using MobileNetV2 and Telegram Bot
    M Thomas, P Balamurugan, A Mummoorthy
    International Conference on Soft Computing and Signal Processing, 17-34 , 2024
    2024
  • Handle the Sybil Attack Using Hash Technique in Vehicular Ad Hoc Networks
    A Mummoorthy, NS Gowri Ganesh, R Roopa Chandrika, P Swetha
    Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES … , 2023
    2023
    Citations: 1
  • AI, IoT, and Blockchain Breakthroughs in E-governance
    K Saini, A Mummoorthy, R Chandrika, NS Gowri Ganesh
    IGI Global , 2023
    2023
    Citations: 12
  • Soft Computing and Signal Processing
    H Zen, NM Dasari, YM Latha, SS Rao
    Proceedings of 6th ICSCSP 2 , 2023
    2023
    Citations: 1
  • Soft Computing and Signal Processing
    VS Reddy, VK Prasad, J Wang, KTV Reddy
    Advances in Intelligent Systems and Computing 1340 , 2023
    2023
    Citations: 9
  • 9 Enhancement of Interoperability in Health Care Information
    NSG Ganesh, RR Chandrika, A Mummoorthy
    Convergence of Blockchain Technology and E-Business: Concepts, Applications … , 2021
    2021
  • Enhancement of interoperability in health care information systems with the pursuit of blockchain implementations
    NSG Ganesh, RR Chandrika, A Mummoorthy
    Convergence of Blockchain Technology and E-Business, 201-226 , 2021
    2021
    Citations: 1
  • Soft Computing and signal processing
    VS Reddy, VK Prasad, J Wang, KTV Reddy
    Proceedings of 3rd ICSCSP 1, 1-18 , 2020
    2020
    Citations: 6
  • Satellite image processing biomass estimation
    A Mummoorthy, RR Chandrika, NSG Ganesh, E Pavithra
    2019 International Conference on Emerging Trends in Science and Engineering … , 2019
    2019
    Citations: 3
  • Vehicle detection and classification using image processing
    RR Chandrika, NSG Ganesh, A Mummoorthy, KMK Raghunath
    2019 international conference on emerging trends in science and engineering … , 2019
    2019
    Citations: 34
  • Real-time traffic monitoring system using spark
    A Saraswathi, A Mummoorthy, AR GR, KP Porkodi
    2019 International Conference on Emerging Trends in Science and Engineering … , 2019
    2019
    Citations: 13
  • Spark Streaming for Predictive Business Intelligence
    NSG Ganesh, A Mummoorthy, RR Chandrika, AR GR
    2019 International Conference on Emerging Trends in Science and Engineering … , 2019
    2019
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Vehicle detection and classification using image processing
    RR Chandrika, NSG Ganesh, A Mummoorthy, KMK Raghunath
    2019 international conference on emerging trends in science and engineering … , 2019
    2019
    Citations: 34
  • Real-time traffic monitoring system using spark
    A Saraswathi, A Mummoorthy, AR GR, KP Porkodi
    2019 International Conference on Emerging Trends in Science and Engineering … , 2019
    2019
    Citations: 13
  • AI, IoT, and Blockchain Breakthroughs in E-governance
    K Saini, A Mummoorthy, R Chandrika, NS Gowri Ganesh
    IGI Global , 2023
    2023
    Citations: 12
  • Consistent and effective energy utilisation of node model for securing data in wireless sensor networks
    P Balamurugan, M Karuppiah, A Mummoorthy, AM Viswabharathi, ...
    International Journal of Grid and Utility Computing 9 (3), 220-227 , 2018
    2018
    Citations: 10
  • Soft Computing and Signal Processing
    VS Reddy, VK Prasad, J Wang, KTV Reddy
    Advances in Intelligent Systems and Computing 1340 , 2023
    2023
    Citations: 9
  • Soft Computing and signal processing
    VS Reddy, VK Prasad, J Wang, KTV Reddy
    Proceedings of 3rd ICSCSP 1, 1-18 , 2020
    2020
    Citations: 6
  • A Detailed Study on the Evolution of Recent Jammers in Wireless Sensor Networks
    A Mummoorthy, SS Kumar
    International Journal of Engineering Research and Development 4 (6), 12-15 , 2012
    2012
    Citations: 6
  • Using of Bellman Fords Algorithm in WSN to identify the shortest path and improve the battery power & control the DDOS attackers and monitor the system environment
    A Mummoorthy, B Bhasker, TJ Kumar
    Bonfring International Journal of Networking Technologies and Applications 5 … , 2018
    2018
    Citations: 4
  • Satellite image processing biomass estimation
    A Mummoorthy, RR Chandrika, NSG Ganesh, E Pavithra
    2019 International Conference on Emerging Trends in Science and Engineering … , 2019
    2019
    Citations: 3
  • A Survey on Attacks, Security and Challenges in Wireless Sensor Networks
    K Suganya, A Mummoorthy
    International Journal of Communication and Computer Technologies (IJCCTS) 3 … , 2015
    2015
    Citations: 3
  • Cloud and edge computing security using artificial intelligence and soft computing techniques
    NSG Ganesh, RR Chandrika, A Mummoorthy
    The fusion of artificial intelligence and soft computing techniques for … , 2024
    2024
    Citations: 2
  • Fleet Management and Vehicle Routing in Real Time Using Parallel Computing Algorithms
    A Mummoorthy, R Mohanasundaram, S Saraff, R Arun
    Soft Computing and Signal Processing: Proceedings of ICSCSP 2018, Volume 2 … , 2019
    2019
    Citations: 2
  • Energy Aware Routing Protocol Poisson Process using Diffusion Update Algorithm in Wireless Sensor Networks
    A Mummoorthy, SS Kumar
    Asian Journal of Research in Social Sciences and Humanities 6 (6), 130-147 , 2016
    2016
    Citations: 2
  • Vogt AI: a deep learning framework for early detection and severity grading of diabetic macular edema through retinal imaging and clinical insights
    E Pavithra, A Mummoorthy, SK Manikandan, NSG Ganesh, M Gayatri
    2024 International Conference on Emerging Research in Computational Science … , 2024
    2024
    Citations: 1
  • Multicenter trial: VR-AI therapy for neurodevelopment in children with mental disorders
    Pavithra, A Mummoorthy, M Yuvaraj, K Dinesh Kumar
    International Conference on Soft Computing and Signal Processing, 415-423 , 2024
    2024
    Citations: 1
  • Enhanced Accident Detection in Low-Light Conditions Through Analysis of CCTV Footage in Real-Time
    S Goutham Kumar Reddy, M Sampreeth, K Sai Vardhan Reddy, ...
    International Conference on Soft Computing and Signal Processing, 217-227 , 2024
    2024
    Citations: 1
  • Handle the Sybil Attack Using Hash Technique in Vehicular Ad Hoc Networks
    A Mummoorthy, NS Gowri Ganesh, R Roopa Chandrika, P Swetha
    Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES … , 2023
    2023
    Citations: 1
  • Soft Computing and Signal Processing
    H Zen, NM Dasari, YM Latha, SS Rao
    Proceedings of 6th ICSCSP 2 , 2023
    2023
    Citations: 1
  • Enhancement of interoperability in health care information systems with the pursuit of blockchain implementations
    NSG Ganesh, RR Chandrika, A Mummoorthy
    Convergence of Blockchain Technology and E-Business, 201-226 , 2021
    2021
    Citations: 1
  • Spark Streaming for Predictive Business Intelligence
    NSG Ganesh, A Mummoorthy, RR Chandrika, AR GR
    2019 International Conference on Emerging Trends in Science and Engineering … , 2019
    2019
    Citations: 1