PRASANNA DHAMODARAN

@mahendra.info

ASSOCIATE PROFESSOR / DEPARTMENT OF CSE / DR.D.PRASANNA
MAHENDRA ENGINEERING COLLEGE

PRASANNA DHAMODARAN


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https://researchid.co/prasannad
“Die-hard conservatives though that if I could not get everything I asked for, I should jump off the cliff with the flag flying-go down in flames. No if I can get 70 or 80 percent of what it is I am trying to get… I will take that and then continue to try to get the rest in future”

- Ronald Reagan

Dictum

Looking for an appropriate opportunity and a challenging position in the academic area to serve to the young mass who frames the future of the Nation with innovation.

EDUCATION

M.E.(CSE), Ph.D (CSE)

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Engineering, Computer Networks and Communications, Artificial Intelligence
8

Scopus Publications

135

Scholar Citations

4

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Skin Cancer Detection Using Image Classification in Deep Learning
    D. Prasanna, R. Manishvarma
    3rd International Conference on Integrated Circuits and Communication Systems Icicacs 2025, 2025
    The understanding of deep learning in skin cancer results in a dependable and faster method to diagnose malignant skin lesions at an initial stage. To improve the accuracy of detection, this research uses a number of steps in its methodology. First, we apply the Weiner filter to smooth the input images, minimizing the noise effects and improving the overall image quality. The next step is to use Adaptive Histogram Equalization (AHE) because it enhances the contrast of the image and thus helps in feature extraction. The feature selection process is accomplished through an Autoencoder that decreases dimensionality while preserving essential data characteristics. Finally, classification is executed using a Convolutional Neural Network (CNN), which performs inadequately for pattern recognition in medical images. The model shows a high accuracy of 96.3%, reflecting its effectiveness in diagnosing skin cancer. Such high accuracy proves the effective applicability of the proposed method as a diagnostic aid to dermatologists for timely and efficient reactions. Future works will emphasize external validity and thereby set the system into real practice settings.
  • Content based Image Retrieval and Disease Prediction using Deep Learning Algorithms
    D.Prasanna, A. Kalaiyarasan
    Proceedings of 5th International Conference on Ubiquitous Computing and Intelligent Information Systems Icuis 2025, 2025
    Recent medical research indicates that most people worldwide are affected by various lung diseases. This paper proposes a novel Convolutional Neural Network (CNN) architecture, termed XLG Cancer Net, for accurate identification of lung diseases. The Lung image MRI dataset and the initial Gaussian filter preprocessing eliminate noise and improve the quality of the input dataset's pixels. The Swin-Net segmentation specifically separated the number of clusters to identify the affected region and its shape, including thickness and external area, as well as the inner and outer layers. From that, Content-Based Image Retrieval (CBIR) feature extraction specifically analyses the same features and eliminates irrelevant ones, and each feature is validated based on performance metrics. The technical output from the XLG Cancer Net classifies lung diseases, including large cell carcinoma, squamous cell carcinoma, and Adenocarcinoma. The results show an Accuracy of 96%, a precision of 95%, a recall of 95%, and an error rate analysis, while simultaneously minimizing the false ratio, and it applies to a real-time medical application.
  • Retraction Note: Real-time hook selection: a soft computing enabled future location protection mechanism in WSN using LTR measures and random seeding approach (Soft Computing, (2020), 24, 9, (6735-6740), 10.1007/s00500-019-04309-4)
    D. Prasanna, R. Santhosh
    Soft Computing, 2024
  • Cloud based Automatically Human Document Authentication Processes for Secured System
    D. Prasanna, N.Aashiq Ahamed, S. Abinesh, G. Karthikeyan, R. Inbatamilan
    2nd IEEE International Conference on Integrated Intelligence and Communication Systems Iciics 2024, 2024
    Ensuring that document authentication is safe and secure is a significant problem in contemporary cloud systems. To resolve this problem, a cloud-based automatic document authentication process in secured systems using the Risk Based Authentication (RBA) approach has been developed. The proposed system passes through three primary phases to maintain credible levels of security. First, the PKG method produces private keys for a user to achieve the goals of privacy and integrity. Second, the RBA method supports the authentication process, applying appropriate authentication management that depends on the user's risk profile and behavioral pattern. Finally, to protect data during transmission from external interference, the RSA encryption-decryption method ensures that data arrives in its original form without interference. This multiple approach to enhancing security performance is far better than the previous methods. The proposed system resource that hosts the system achieves a security performance of 95.7%
  • Twitter Media Sentiment Analysis to Convert Non-Informative to Informative Using QER
    C. P. Thamil Selvi, P. Muneeshwari, K. Selvasheela, D. Prasanna
    Intelligent Automation and Soft Computing, 2023
    The term sentiment analysis deals with sentiment classification based on the review made by the user in a social network. The sentiment classification accuracy is evaluated using various selection methods, especially those that deal with algorithm selection. In this work, every sentiment received through user expressions is ranked in order to categorise sentiments as informative and non-informative. In order to do so, the work focus on Query Expansion Ranking (QER) algorithm that takes user text as input and process for sentiment analysis and finally produces the results as informative or non-informative. The challenge is to convert non-informative into informative using the concepts of classifiers like Bayes multinomial, entropy modelling along with the traditional sentimental analysis algorithm like Support Vector Machine (SVM) and decision trees. The work also addresses simulated annealing along with QER to classify data based on sentiment analysis. As the input volume is very fast, the work also addresses the concept of big data for information retrieval and processing. The result comparison shows that the QER algorithm proved to be versatile when compared with the result of SVM. This work uses Twitter user comments for evaluating sentiment analysis.
  • Real-time hook selection: a soft computing enabled future location protection mechanism in WSN using LTR measures and random seeding approach
    D. Prasanna, R. Santhosh
    Soft Computing, 2020
  • Data mining approach: Distribution of retinal plasma liner handling image processing for automated retinal analysis
    M. Kannan, D. Prasanna
    Indian Journal of Public Health Research and Development, 2018
    Computed Aided Diagnosis (CAD) methods are highly used by the medical professionals in the field of medical image analysis. Many retinal diseases like retinopathy, occlusion etc. are identified through the changes occur in the retinal vasculature of fundus images. Detection of glaucoma at early stages is essential to avoid the sight-threatening retinal disease. In this paper, the data mining techniques based on retinal image analysis by means of blood vessel segmentation done by the image processing method is discussed in this paper. the work involves the steps like channel separation from the input images and the optic Disc (oD) segmentation by means of the Fuzzy C-Means (FCM) algorithm, followed by the extraction of features from the segmented images. Now the data mining steps like feature selection and the classification process are done by using the K-Nearest Neighbor (KNN) classifier is expressed. The performance accuracy of glaucoma detection is obtained at the maximum of 97.2%.
  • Time orient trust based hook selection algorithm for efficient location protection in Wireless Sensor Networks using frequency measures
    International Journal of Engineering and Technology Uae, 2018

RECENT SCHOLAR PUBLICATIONS

  • REAL-TIME WILD ANIMAL DETECTION AND CLASSIFICATION USING YOLOv11: AN EFFICIENT APPROACH
    Dr.D.PRASANNA
    IN Patent App. 202,541,012,774 , 2025
    2025
  • Applying Optimization Techniques for Enhancing Personalization to Recommend a Web Page
    DSM Dr.D.Prasanna
    Journal of Information Systems Engineering and Management , 2025
    2025
  • Content based Image Retrieval and Disease Prediction using Deep Learning Algorithms
    DD Prasanna
    International Conference on Ubiquitous Computing and Intelligent Information … , 2025
    2025
  • DEEPFAKE: VIDEO FACE FORGERY DETECTION
    DD Prasanna
    UtilitasMathematica 122 (2), ISSN 0315-3681 , 2025
    2025
  • Efficient Server Management Architecture Based on Cloud Edge Integration with Advanced Security Enhancements
    SP Dr.D.Prasanna
    1st International Conference on Research and Development in Information … , 2025
    2025
  • Cloud Based Automatically Human Document Authentication Processes for Secured System
    DDP N.Aashiq Ahamed
    2024 International Conference on Integrated Intelligence and Communication … , 2025
    2025
  • Skin Cancer Detection using Image Classification in Deep Learning
    RM Dr.D.Prasanna
    2025 3rd International Conference on Integrated Circuits and Communication … , 2025
    2025
  • Prompts to Solutions: Leveraging Generative AI for Industrial and Educational Applications
    DMK Dr.D.Prasanna, Dr.S.G.Balakrishnan, Dr.P.Ramya
    IN Patent 202,441,076,526 , 2024
    2024
  • SMART WIFI LED CEILING LIGHT
    DD Prasanna
    IN Patent 431663-001 , 2024
    2024
  • Artificial Intelligence Based Human Tolerant Virtual Shopping Assistant Using Computer Vision and Deep Learning Methods (Patent)
    DMK Dr.D.Prasanna, Dr.S.G.Balakrishnan, Dr.P.Ramya
    IN Patent 202441014442 A , 2024
    2024
  • Monitoring Student’s Brain Attentiveness using IoT based Ensemble Model in Online Classes
    MDS Dr.D.Prasanna
    J. Sci. Trans. Environ. Technov.2024 18 (https://doi.org/10.56343/STET.116 … , 2024
    2024
  • MULTIPLE CLOUD DATA DIVISION ON BANKING SECURITY ON DATA HACKER HIDING WITH CRYPTOGRAPHIC
    SKMK Dr. Prasanna D
    Journal of Visual and Performing Arts, 1198-1203 , 2024
    2024
  • A Novel Hybrid Algorithm Combining Neural Networks and Genetic Programming for Cloud Resource Management
    DTN Dr.D.Prasanna
    Frontiers in Health Informatics 13 (8), 4014-4031 , 2024
    2024
    Citations: 43
  • ARTIFICIAL INTELLIGENCE BASED BEHAVIOUR PERSONALISED SHOPPING ASSISTANT USING DATA MINING AND MACHINE LEARNING METHODS
    DMK Dr.D.Prasanna, Dr.S.G.Balakrishnan, Dr.P.Ramya
    IN Patent 202341073761 A , 2023
    2023
  • EFFICIENT PARTITIONING ALGORITHM FOR ENHANCED DATA PROCESSING IN WIRELESS SENSOR NETWORKS
    RA Dr.D.Prasanna
    Dogo Rangsang Research Journal 13 (5), 51-57 , 2023
    2023
  • Prediction of Parkinson Diseases at Early Stage Using Deep Learning Method
    TH D. Prasanna
    Computer Science, Engineering and Technology 1 (DOI: https://doi.org/10 … , 2023
    2023
  • Twitter Media Sentiment Analysis to Convert Non-Informative to Informative Using QER
    CPTS Dr.D.Prasanna
    Intelligent Automation & Soft Computing 35 (5), 3545-3555 , 2023
    2023
    Citations: 24
  • An Automated Machine Learning Tool for Predicting Student Performance Analysis
    DMK Dr.D.Prasanna, Dr.S.G.Balakrishnan, Dr.P.Ramya
    IN Patent 202,241,053,373 , 2022
    2022
  • COVER FOR SMART IDENTITY CARD
    DRDP C.P.THAMIL SELVI
    IN Patent 369659-001 , 2022
    2022
  • An Efficient Location Privacy in Wireless Sensor Using Multiple Path Witness Routing Algorithm
    D Prasanna
    Science, Technology and Development 11 (Issue VI), 772-782 , 2022
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • A Novel Hybrid Algorithm Combining Neural Networks and Genetic Programming for Cloud Resource Management
    DTN Dr.D.Prasanna
    Frontiers in Health Informatics 13 (8), 4014-4031 , 2024
    2024
    Citations: 43
  • Location Navigation Assistance for Educational Institutions using Augmented Reality
    A Ramsugeerthi, A Umamaheswari, D Prassana
    Journal of Xidian University , 2020
    2020
    Citations: 37
  • Time Orient Trust Based Hook Selection Algorithm for Efficient Location Protection in Wireless Sensor Networks Using Frequency Measures
    D Prasanna, R Santhosh
    International Journal of Engineering & Technology 7 (3.27), 331-335 , 2018
    2018
    Citations: 31
  • Twitter Media Sentiment Analysis to Convert Non-Informative to Informative Using QER
    CPTS Dr.D.Prasanna
    Intelligent Automation & Soft Computing 35 (5), 3545-3555 , 2023
    2023
    Citations: 24
  • REAL-TIME WILD ANIMAL DETECTION AND CLASSIFICATION USING YOLOv11: AN EFFICIENT APPROACH
    Dr.D.PRASANNA
    IN Patent App. 202,541,012,774 , 2025
    2025
  • Applying Optimization Techniques for Enhancing Personalization to Recommend a Web Page
    DSM Dr.D.Prasanna
    Journal of Information Systems Engineering and Management , 2025
    2025
  • Content based Image Retrieval and Disease Prediction using Deep Learning Algorithms
    DD Prasanna
    International Conference on Ubiquitous Computing and Intelligent Information … , 2025
    2025
  • DEEPFAKE: VIDEO FACE FORGERY DETECTION
    DD Prasanna
    UtilitasMathematica 122 (2), ISSN 0315-3681 , 2025
    2025
  • Efficient Server Management Architecture Based on Cloud Edge Integration with Advanced Security Enhancements
    SP Dr.D.Prasanna
    1st International Conference on Research and Development in Information … , 2025
    2025
  • Cloud Based Automatically Human Document Authentication Processes for Secured System
    DDP N.Aashiq Ahamed
    2024 International Conference on Integrated Intelligence and Communication … , 2025
    2025
  • Skin Cancer Detection using Image Classification in Deep Learning
    RM Dr.D.Prasanna
    2025 3rd International Conference on Integrated Circuits and Communication … , 2025
    2025
  • Prompts to Solutions: Leveraging Generative AI for Industrial and Educational Applications
    DMK Dr.D.Prasanna, Dr.S.G.Balakrishnan, Dr.P.Ramya
    IN Patent 202,441,076,526 , 2024
    2024
  • SMART WIFI LED CEILING LIGHT
    DD Prasanna
    IN Patent 431663-001 , 2024
    2024
  • Artificial Intelligence Based Human Tolerant Virtual Shopping Assistant Using Computer Vision and Deep Learning Methods (Patent)
    DMK Dr.D.Prasanna, Dr.S.G.Balakrishnan, Dr.P.Ramya
    IN Patent 202441014442 A , 2024
    2024
  • Monitoring Student’s Brain Attentiveness using IoT based Ensemble Model in Online Classes
    MDS Dr.D.Prasanna
    J. Sci. Trans. Environ. Technov.2024 18 (https://doi.org/10.56343/STET.116 … , 2024
    2024
  • MULTIPLE CLOUD DATA DIVISION ON BANKING SECURITY ON DATA HACKER HIDING WITH CRYPTOGRAPHIC
    SKMK Dr. Prasanna D
    Journal of Visual and Performing Arts, 1198-1203 , 2024
    2024
  • ARTIFICIAL INTELLIGENCE BASED BEHAVIOUR PERSONALISED SHOPPING ASSISTANT USING DATA MINING AND MACHINE LEARNING METHODS
    DMK Dr.D.Prasanna, Dr.S.G.Balakrishnan, Dr.P.Ramya
    IN Patent 202341073761 A , 2023
    2023
  • EFFICIENT PARTITIONING ALGORITHM FOR ENHANCED DATA PROCESSING IN WIRELESS SENSOR NETWORKS
    RA Dr.D.Prasanna
    Dogo Rangsang Research Journal 13 (5), 51-57 , 2023
    2023
  • Prediction of Parkinson Diseases at Early Stage Using Deep Learning Method
    TH D. Prasanna
    Computer Science, Engineering and Technology 1 (DOI: https://doi.org/10 … , 2023
    2023
  • An Automated Machine Learning Tool for Predicting Student Performance Analysis
    DMK Dr.D.Prasanna, Dr.S.G.Balakrishnan, Dr.P.Ramya
    IN Patent 202,241,053,373 , 2022
    2022