Diwakaran M

@skcet.ac.in

ASSISTANT PROFESSOR, DEPARTMENT OF INFORMATION TECHNOLOGY
SRI KRISHNA COLLEGE OF ENGINEERING AND TECHNOLOGY

Diwakaran M


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https://researchid.co/diwakaran06
7

Scopus Publications

36

Scholar Citations

2

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Designing Intelligent and Integrated Analytics Frameworks for Personalized Healthcare
    Sudharson D, Preethi K N, Rakshitha S, Sri Dharaneesh P, Diwakaran M, Saravanan A
    4th International Conference on Applied Artificial Intelligence and Computing Icaaic 2025, 2025
    Amid the rapid development of technology-driven industries, healthcare tops the table in data collection. Due to the massive volume of data, managing them has become a significant challenge, and they often remain unclassified and unsorted. This increases the difficulty in interpreting and analyzing their overall meaning, thereby affecting informed decision-making. This work proposes an intelligent analytics framework that blends multiple standpoints of healthcare data-including electronic health records, laboratory results, retinal imaging, and wearable device measurements-into an integrated dashboard. The framework provides clinicians with real-time access to patients' current health metrics by employing ensemble machine learning algorithms for risk prediction and advanced visualization tools for data representation. Evaluation on a multi-modal patient dataset demonstrates accurate diabetes risk assessment with an AUC-ROC of 0.921, highlighting both computational efficiency and clinical applicability. Overall, the framework offers a centralized platform for analyzing vital information to support enhanced, data-driven healthcare decisions.
  • Parallelism in Cloud Architecture using Implicit Partition Clustering Framework
    Sudharson D, Diwakaran M, Senthil Kumar V, Sukirtha S, Afsheen Zaahrah A, Karthick A
    Proceedings 2024 4th International Conference on Soft Computing for Security Applications Icscsa 2024, 2024
    To overcome the reliability issues concerning data's exponential growth, many optimization techniques are deployed in artificial intelligence. Parallelism in a distributed environment provides an effective solution to handle this expansion efficiently. Catering to real-time and batch-time requirements in distributed environments, Spark and Flink are two prominent, powerful, versatile, fault-tolerant, open-source frameworks providing a unified platform for large data processing. Primarily analyzing the efficiency optimization through implicit partitioning clustering algorithms and adaptable K-means. Combining a few methods for adaptable K value enhances the robustness of the clustering solution, which effectively yields optimized performance.
  • Breast Cancer Prognosis Based on Transfer Learning Techniques in Deep Neural Networks
    M. Diwakaran, D. Surendran
    Information Technology and Control, 2023
    Breast cancer is a major cause of death among women in both developed and underdeveloped countries. Early detection and diagnosis of breast cancer are crucial for patients to receive proper treatment and increase their chances of survival. To improve the automatic detection and diagnosis of breast cancer, a new deep learning model called “Breast Cancer Prognosis Based Transfer Learning (BCP-TL)” has been developed. This model uses transfer learning, which applies the knowledge gained from solving one problem to another relevant problem. The model is based on a pre-trained convolutional neural network (CNN) that extracts features from the mammographic image analysis society (MIAS) dataset. Four different CNN architectures were used in thismodel: AlexNet, Xception, ResNeXt, and Channel Boosted CNN. The performance of the model was evaluated using six metrics, including accuracy, sensitivity, specificity, precision, F1-score, and the area under the ROC curve (AUC). The combination of Xception and Channel Boosted CNN showed excellent performance. By combining essential features from multiple iterations, the Channel Boosted CNN can achieve higher accuracy in breast cancer diagnosis, with an overall accuracy of 98.96%. This highlights the potential of the BCP-TL model in effectively detecting and diagnosing breast cancer.
  • Identification of COVID-19 in CT Images using Deep Learning Model
    Sankar Ganesh Karuppasamy, Sheela Gowr, M Diwakaran, K. Maharajan, Sajeev Ram Arumugam, V. Rajeshram
    2022 1st International Conference on Computer Power and Communications Iccpc 2022 Proceedings, 2022
    Worldwide, COVID-19 has had a substantial impact on patients and hospital systems. Early identification and diagnosis are essential for regulating the growth of COVID-19. The input CT screening images are initially segmented into various regions using the Fuzzy C-means (FCM) clustering technique. Next, region-based image quality enhancement employs a histogram equalization method. Furthermore, certain necessary data is represented in a new image using the Local Directional Number technique. Lastly, the input images are portioned with the help of a traditional convolutional neural network model. The proposed convolutional neural network based system was able to give an accuracy of 98.60%, and the results revealed that methods for detecting COVID-19 impact from CT scan images must be developed significantly before considering it as a medical choice. Moreover, many diverse datasets are essential to assess the processes in a real-world setting.
  • Research Challenges in Future Internet of Things (IoT) Applications and Technologies
    V. Anandkumar, M. Diwakaran, K.N. Sivabalan, R. Balakrishna
    Proceedings of the 5th International Conference on Trends in Electronics and Informatics Icoei 2021, 2021
    The internet has become an integral part of our daily lives, and it is the medium that connects everyone on the planet, allowing individuals to exchange their opinions, knowledge, and experience. Because this entire network of individuals is connected via the internet, they might be referred to as the “internet of people”. What if the diurnal devices use by humans can also share their experiences with other things, communicate with us and work according to our commands using the internet as the medium. This whole idea is being realized under Internet of Things (IOT) technology. So, all the IOT devices or networks are developed to attain the above functionality and they are also equipped with three different layers of technologies namely Sensor, Communication and computational or processing technologies. This integrated network of various technologies is being developed to sort out the key human adversities such as water wastage, pollution, depletion of energy resources, health issues etc., and this paves way to establish a balance between the growing population and resources.
  • A Smart Machine for Fitness Care Scrutinizing Technique—A Review
    N. Pooranam, M. Diwakaran, A. Archana, S. Agalya, A. Anindhitha, E. GokulaPriya
    Lecture Notes in Electrical Engineering, 2020
  • An effective load balancing mechanism in cloud computing environment
    International Journal of Engineering and Advanced Technology, 2019

RECENT SCHOLAR PUBLICATIONS

  • Designing Intelligent and Integrated Analytics Frameworks for Personalized Healthcare
    D Sudharson, KN Preethi, S Rakshitha, P Sri Dharaneesh, M Diwakaran, ...
    2025 4th International Conference on Applied Artificial Intelligence and … , 2025
    2025
  • Multi-Band Hybrid ISAR Simulation: Addressing Photonic and EM Fidelity from X-band to W-band
    DM John Daris
    Optica Open , 2025
    2025
  • Cybersecurity Measures in Financial Institutions Protecting Sensitive Data from Emerging Threats and Vulnerabilities
    SKS Kiran Kumar Boorugupalli, Adokshaja Krishnarao Kulkarni, Amala Suzana ...
    Recent Advances in Sciences, Engineering, Information Technology … , 2025
    2025
  • Cybersecurity Measures in Financial Institutions Protecting Sensitive Data from Emerging Threats and Vulnerabilities
    KK Boorugupalli, AK Kulkarni, A Suzana, D M, S Ponnusamy, S Kumar S
    ITM Web of Conferences 76, 02002 , 2025
    2025
    Citations: 8
  • Deep Learning Models for Image Classification Advances in Convolutional Neural Network Architectures
    P Kumar Pathak, S M, D M, P R, A Sheeba, A R
    ITM Web of Conferences 76, 01004 , 2025
    2025
  • Developing a unified theoretical model for AI adoption in cyber security across different industry sectors
    M Saravanan, HR Gantla, M Diwakaran, A Jabeen, A Sengupta, ...
    Recent Advances in Sciences, Engineering, Information Technology … , 2025
    2025
  • Exploring prostate cancer survival prediction by a comparative study of various machine learning techniques
    AR S Balaji, V Sumathi, M Diwakaran, Priyank Purohit, S Thanga Ramya
    Challenges in Information, Communication and Computing Technology, 45-50 , 2024
    2024
  • Parallelism in Cloud Architecture using Implicit Partition Clustering Framework
    D Sudharson, M Diwakaran, V Senthil Kumar, S Sukirtha, ...
    2024 4th International Conference on Soft Computing for Security … , 2024
    2024
  • A novel Pareto Distribution based CatBoost Framework for Software Reliability Estimation
    AB Sudharson D, Anush P, K Vignesh, Diwakaran M
    IN Patent 29/2,023 , 2023
    2023
  • Breast cancer prognosis based on transfer learning techniques in deep neural networks
    M Diwakaran, D Surendran
    Information Technology and Control 52 (2), 381-396 , 2023
    2023
    Citations: 28
  • Identification of COVID-19 in CT Images using Deep Learning Model
    VR Sankar Ganesh Karuppasamy,Sheela Gowr,M Diwakaran,K. Maharajan,Sajeev Ram ...
    2022 International Conference on Computer, Power and Communications (ICCPC … , 2023
    2023
  • Digitalizing the Health Records Using Machine Learning Algorithms
    N Pooranam, M Diwakaran, T Vignesh
    Exploratory Data Analytics for Healthcare, 85-100 , 2021
    2021
  • ANALYSIS OF HEALTH CARE AND MOBILITY CHARACTERISTICS OF A HORIZONTAL DISTANCE EVENT JAVELIN USING WIRELESS SENSOR NETWORKS
    DVAK Mrs.MKN,Mr.NC,Mr.RVSR,Dr.DS,Dr.V Anand Kumar,M.Diwakaran
    IN Patent 44/2,021 , 2021
    2021
  • Research Challenges in Future Internet of Things (IoT) Applications and Technologies
    V Anandkumar, M Diwakaran, KN Sivabalan, R Balakrishna
    5th International Conference on Intelligent Computing and Control Systems … , 2021
    2021
  • PORTABLE IOT NIR SENSOR SYSTEM FOR NON INVASIVE BLOOD GLUCOSE MEASUREMENT IN BLOOD
    VA Dr NS, MR, M Diwakaran, GRE, AMR, GMG, AK, VAK
    IN Patent 19/2,021 , 2021
    2021
  • AN IOT INTELLEGENT SMART SYSTEM FOR LPG GAS LEAKAGE DETECTION AND PREVENTION
    VA Dr NS, KNSB, ASR, M Diwakaran, KN,MR, GS, VAK
    IN Patent 19/2,021 , 2021
    2021
  • My Privacy My Decision Control Of Photo Sharing In Online Media
    M Diwakaran, D Surendran, V Anandkumar
    European Journal of Molecular & Clinical Medicine 7 (8), 2562-2569 , 2020
    2020
  • A Smart Machine for Fitness Care Scrutinizing Technique—A Review.
    NPM Diwakaran
    Innovations in Electrical and Electronics Engineering 626, 807-815 , 2020
    2020
  • Real Time Indoor Path Navigation Wearable for Visually Impaired
    Diwakaran M, Dr. Surendran D
    International Journal of Pure and Applied Mathematics 119 (12), 1339-1346 , 2018
    2018
  • Parallelization of Intrusion Detection System
    D M
    International Journal of Innovative Research in Computer and Communication … , 2017
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Breast cancer prognosis based on transfer learning techniques in deep neural networks
    M Diwakaran, D Surendran
    Information Technology and Control 52 (2), 381-396 , 2023
    2023
    Citations: 28
  • Cybersecurity Measures in Financial Institutions Protecting Sensitive Data from Emerging Threats and Vulnerabilities
    KK Boorugupalli, AK Kulkarni, A Suzana, D M, S Ponnusamy, S Kumar S
    ITM Web of Conferences 76, 02002 , 2025
    2025
    Citations: 8
  • Designing Intelligent and Integrated Analytics Frameworks for Personalized Healthcare
    D Sudharson, KN Preethi, S Rakshitha, P Sri Dharaneesh, M Diwakaran, ...
    2025 4th International Conference on Applied Artificial Intelligence and … , 2025
    2025
  • Multi-Band Hybrid ISAR Simulation: Addressing Photonic and EM Fidelity from X-band to W-band
    DM John Daris
    Optica Open , 2025
    2025
  • Cybersecurity Measures in Financial Institutions Protecting Sensitive Data from Emerging Threats and Vulnerabilities
    SKS Kiran Kumar Boorugupalli, Adokshaja Krishnarao Kulkarni, Amala Suzana ...
    Recent Advances in Sciences, Engineering, Information Technology … , 2025
    2025
  • Deep Learning Models for Image Classification Advances in Convolutional Neural Network Architectures
    P Kumar Pathak, S M, D M, P R, A Sheeba, A R
    ITM Web of Conferences 76, 01004 , 2025
    2025
  • Developing a unified theoretical model for AI adoption in cyber security across different industry sectors
    M Saravanan, HR Gantla, M Diwakaran, A Jabeen, A Sengupta, ...
    Recent Advances in Sciences, Engineering, Information Technology … , 2025
    2025
  • Exploring prostate cancer survival prediction by a comparative study of various machine learning techniques
    AR S Balaji, V Sumathi, M Diwakaran, Priyank Purohit, S Thanga Ramya
    Challenges in Information, Communication and Computing Technology, 45-50 , 2024
    2024
  • Parallelism in Cloud Architecture using Implicit Partition Clustering Framework
    D Sudharson, M Diwakaran, V Senthil Kumar, S Sukirtha, ...
    2024 4th International Conference on Soft Computing for Security … , 2024
    2024
  • A novel Pareto Distribution based CatBoost Framework for Software Reliability Estimation
    AB Sudharson D, Anush P, K Vignesh, Diwakaran M
    IN Patent 29/2,023 , 2023
    2023
  • Identification of COVID-19 in CT Images using Deep Learning Model
    VR Sankar Ganesh Karuppasamy,Sheela Gowr,M Diwakaran,K. Maharajan,Sajeev Ram ...
    2022 International Conference on Computer, Power and Communications (ICCPC … , 2023
    2023
  • Digitalizing the Health Records Using Machine Learning Algorithms
    N Pooranam, M Diwakaran, T Vignesh
    Exploratory Data Analytics for Healthcare, 85-100 , 2021
    2021
  • ANALYSIS OF HEALTH CARE AND MOBILITY CHARACTERISTICS OF A HORIZONTAL DISTANCE EVENT JAVELIN USING WIRELESS SENSOR NETWORKS
    DVAK Mrs.MKN,Mr.NC,Mr.RVSR,Dr.DS,Dr.V Anand Kumar,M.Diwakaran
    IN Patent 44/2,021 , 2021
    2021
  • Research Challenges in Future Internet of Things (IoT) Applications and Technologies
    V Anandkumar, M Diwakaran, KN Sivabalan, R Balakrishna
    5th International Conference on Intelligent Computing and Control Systems … , 2021
    2021
  • PORTABLE IOT NIR SENSOR SYSTEM FOR NON INVASIVE BLOOD GLUCOSE MEASUREMENT IN BLOOD
    VA Dr NS, MR, M Diwakaran, GRE, AMR, GMG, AK, VAK
    IN Patent 19/2,021 , 2021
    2021
  • AN IOT INTELLEGENT SMART SYSTEM FOR LPG GAS LEAKAGE DETECTION AND PREVENTION
    VA Dr NS, KNSB, ASR, M Diwakaran, KN,MR, GS, VAK
    IN Patent 19/2,021 , 2021
    2021
  • My Privacy My Decision Control Of Photo Sharing In Online Media
    M Diwakaran, D Surendran, V Anandkumar
    European Journal of Molecular & Clinical Medicine 7 (8), 2562-2569 , 2020
    2020
  • A Smart Machine for Fitness Care Scrutinizing Technique—A Review.
    NPM Diwakaran
    Innovations in Electrical and Electronics Engineering 626, 807-815 , 2020
    2020
  • Real Time Indoor Path Navigation Wearable for Visually Impaired
    Diwakaran M, Dr. Surendran D
    International Journal of Pure and Applied Mathematics 119 (12), 1339-1346 , 2018
    2018
  • Parallelization of Intrusion Detection System
    D M
    International Journal of Innovative Research in Computer and Communication … , 2017
    2017