SAMPATH S

@aitckm.in

Professor and Information Science & Engineering Department
Adichunchanagiri Institute of Technology

SAMPATH S


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https://researchid.co/sampathckm

EDUCATION

Ph.D in Computer Science Engineering

RESEARCH INTERESTS

High Performance Computing, Parallel Computing
15

Scopus Publications

61

Scholar Citations

5

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • X-FakeNet: Explainable Multimodal Fusion with Meta-reasoning for Fake News Detection
    International Journal of Intelligent Engineering and Systems, 2025
    The rapid spread of sophisticated multimodal fake news combining text and imagery poses significant challenges to information integrity.This paper introduces X-FakeNet, an advanced artificial intelligence framework that substantially improves detection accuracy and explanatory capability.Through comprehensive evaluation across diverse benchmarks including Fakeddit, Weibo-CN, and FakeNewsXAI, our approach demonstrates superior performance, exceeding UNiversal Image-TExt Representation Learning (UNITER) by 11.5% and VisualBERT by 12.4% in F1-score.The framework incorporates three principal innovations: a context-aware fusion mechanism that dynamically weights cross-modal interactions, an integrated explanation system producing unified saliency maps with 0.89 explanation fidelity, and a meta-verification layer that enhances robustness against adversarial manipulation.Experimental results show 90.5% detection accuracy with efficient 380-millisecond processing.User validation confirms a 22% improvement in detection capability when utilizing the explanatory features, demonstrating practical utility for fact-checking applications.
  • Exploring Machine Learning Techniques for Early Detection of Glaucoma
    H V Chethan, S Sampath, G K Ravikumar
    Proceedings of 3rd IEEE International Conference on Knowledge Engineering and Communication Systems Ickecs 2025, 2025
    One of the main causes of visual loss in the world is glaucoma. It is impossible to treat glaucoma when it is advanced. Therefore, early disease identification has become crucial in the medical industry. After a number of investigations, it became evident that the retinal fundus picture might be shown by employing distinct image processing techniques. This study assessed several studies based on the approaches they used to identify glaucoma using 2D fundus images produced using CDR. A large number of automated glaucoma detection strategies were reviewed in detail. Most machine learning systems can detect 85% of cases of glaucoma accurately. The region of interest, or the optic disc and cup, was first obtained by image segmentation techniques such edge detection and the elliptical Hough transform. The machine learning and deep learning models were then trained on these extracted images to identify the presence of glaucoma in the fundus image of the eye. The most important machine learning, deep learning, and transfer learning techniques for evaluating retinal images were examined, along with the advantages and disadvantages of each.
  • Comparative Analysis of Fake News Detection on Social Media
    Pasha C. A. Anser, S. Sampath
    2nd IEEE International Conference on Advances in Information Technology Icait 2024 Proceedings, 2024
    Fake news poses a significant threat to social media and their users. Hybrid models for detection of fake news on social media, analyzing their strengths, weaknesses, and future directions are surveyed in it. We present an overview of fake news detection, discuss the limitations of individual approaches, and emphasis pros of combining them. We then describe various hybrid models categorized by the variety of techniques they integrate, including content analysis, network analysis, and knowledge reasoning. Additionally, we compare different hybrid models using key metrics namely correctness, precision, recall, and F1-score, presenting the results in tables and diagrams. Finally, we discuss open challenges and promising future directions for research in this domain. Additionally, it serves as a roadmap for future research directions, guiding the development of more robust and ethically sound fake news detection systems.
  • A Survey on Improved Feature Engineering Assisted Multi-Constraints Outlier Analysis Model for Heuristic Driven K-Means Clustering
    Durga Prasad Palaparthi, S Sampath
    2024 International Conference on Knowledge Engineering and Communication Systems Ickecs 2024, 2024
    Outliers are the data points that vary significantly from the primary distribution of data. In data mining, determining outliers is an essential task for establishing the data quality, decision-making, and models’ performance. Outliers generally cause errors during data collection, sensor malfunction, or data entry. By addressing and detecting outliers, the overall reliability and quality of the data can be increased. The clustering approach is utilized in data mining, image identification, and pattern recognition. In this study, the hard and soft efficient outlier detection clustering models that are implemented for data mining are considered. These are namely K-Means, K++, modified K-Means, K-Medoids, Fuzzy C-means (FCM), Adaptive Switching Randomly Perturbed Particle Swarm Optimization (ASRPPSO) based FCM, and Teaching and Learning-based optimization (TLBO). Accuracy, False Positive Rate (FPR), precision, f-measure, f-score, True Positive Rate (TPR), Completeness Score (CS), Purity measure, Silhouette (SC), Entropy measure, Partition entropy, Partition coefficient Rand Index (RI), Adjusted Rand Index (ARI), Weighted Kappa (WK) coefficient, and convergence time are utilized as the parameters in this study respectively.
  • Ensemble Nonlinear Machine Learning Model for Chronic Kidney Diseases Prediction
    S Sampath, Mudarakola Lakshmi Prasad, Mohammad Manzoor Hussain, R Parameswari, D Anil Kumar, Pundru Chandra Shaker Reddy
    2023 IEEE 3rd Mysore Sub Section International Conference Mysurucon 2023, 2023
    Living in a major metropolitan area has been linked to an increased risk of developing multiple forms of chronic-kidney-disease(CKD). In developed nations, predicting CKDs is a top priority. Predictive analytics for the purpose of predicting CKDs are the primary focus of this work. However, it is getting harder and harder to forecast outcomes for massive samples. While doing so, the MapReduce architecture makes it possible to write predictive algorithms by combining map and reduce operations. Problems with the scalability and effectiveness of anticipative learning approaches are alleviated by the comparatively straightforward programming interface. To efficiently handle small subsets of massive datasets, the authors propose using an iterative weighted mapreduce approach. Ensemble-nonlinear support-vector-machines(ENSVM) and random-forests(RF) are used to design a binary classification issue. As a result, the suggested approach generates nonlinear blends of kernel activations in example prototypes, as opposed to the conventional linear combination of activations. In addition, an ensemble of deep-SVM is utilized to integrate the descriptors, with the product rule being employed to merge the classifiers' likelihood estimates. Prediction accuracy and results interpretability are used to gauge performance.
  • Decentralized Digital Identity Wallet using Principles of Self-Sovereign Identity Applied to Blockchain
    Sampath S, Sanjay M, Numan Ahmed, Adi Bhagavath, Nanjesh B R
    7th IEEE International Conference on Recent Advances and Innovations in Engineering Icraie 2022 Proceedings, 2022
    Human dignity demands that personal information be hidden. Currently, due to the dominance of large internet companies/cloud service providers, the control over the identity is not with the identity holder, leading to privacy concerns. The need for decentralization of identity is because it gives back control of identity credentials to identity holders and allows them to control when, how, and with whom to share their credentials. Self-sovereign Identity is an arising concept, which provides a way for digital identification. It enables the entities to control their identity and data flow in the digital world while enhancing privacy and security. Major privacy concerns are because of the numerous attacks and data breaches that can happen when sensitive information like identity credentials is stored on a centralized system used by the existing systems. Therefore, we propose a blockchain based self-sovereign identity platform where the user’s mobile wallet application. The proof of the Identity credentials are kept in a decentralised storage system based on the blockchain. This platform provides a Zero-Knowledge Proof (ZKP) mechanism to verify the information.
  • Clustering diagnostic codes: Exploratory machine learning approach for preventive care of chronic diseases
    K. N. Mohan Kumar, S. Sampath, Mohammed Imran, N. Pradeep
    Advances in Intelligent Systems and Computing, 2021
  • Prediction of diagnostic codes of chronic condition for preventive care
    International Journal of Advanced Science and Technology, 2020
  • Robust methods using graph and PCA for detection of anomalies in medical records
    K. N. Mohan Kumar, S. Sampath, Mohammed Imran
    Lecture Notes on Data Engineering and Communications Technologies, 2020
  • Classification of diagnostic codes of chronic condition and performance evaluation of various approaches
    International Journal of Recent Technology and Engineering, 2019
  • An overview on disease prediction for preventive care of health deterioration
    International Journal of Engineering and Advanced Technology, 2019
  • Comparison of Support Vector Machine and Naïve Bayes Classifiers for Predicting Diabetes
    Rakesh S. Raj, D.S. Sanjay, M. Kusuma, S Sampath
    1st International Conference on Advanced Technologies in Intelligent Control Environment Computing and Communication Engineering Icatiece 2019, 2019
  • Development of common parallel programming platform for MPI and PVM
    Veerabasavantha Swamy, S. Sampath, B. R. Nanjesh, Bharat Bhushan Sagar
    Advances in Intelligent Systems and Computing, 2015
  • Performance optimization of PVM based parallel applications using optimal number of slaves
    Sampath S, Nanjesh B R, Bharat Bhushan Sagar, C K Subbaraya
    Icroit 2014 Proceedings of the 2014 International Conference on Reliability Optimization and Information Technology, 2014
  • Performance evaluation and comparison of MPI and PVM using a cluster based parallel computing architecture
    S. Sampath, B. B. Sagar, B. R. Nanjesh
    Proceedings of IEEE International Conference on Circuit Power and Computing Technologies Iccpct 2013, 2013

RECENT SCHOLAR PUBLICATIONS

  • Comparative Analysis of Fake News Detection on Social Media
    PCA Anser, S Sampath
    2024 Second International Conference on Advances in Information Technology … , 2024
    2024.0
    Citations: 1
  • Ensemble nonlinear machine learning model for chronic kidney diseases prediction
    S Sampath, ML Prasad, MM Hussain, R Parameswari, DA Kumar, ...
    2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon), 1-6 , 2023
    2023.0
    Citations: 21
  • Decentralized digital identity wallet using principles of self-sovereign identity applied to blockchain
    S Sampath, M Sanjay, BR Nanjesh
    2022 IEEE 7th International Conference on Recent Advances and Innovations in … , 2022
    2022.0
    Citations: 9
  • Miniaturized multi-band frequency selective surface with angular and polarization independent characteristic
    SS Sampath, R Sivasamy, M G, K G, N S
    Frequenz 76 (7-8), 453-460 , 2022
    2022.0
    Citations: 1
  • Design and fabrication of miniaturized tri-band frequency selective surface with polarization-independent and angularly stable response
    SS Sampath, R Sivasamy
    Frequenz 75 (11-12), 493-499 , 2021
    2021.0
    Citations: 5
  • Clustering diagnostic codes: Exploratory machine learning approach for preventive care of chronic diseases
    KN Mohan Kumar, S Sampath, M Imran, N Pradeep
    Intelligent Data Engineering and Analytics: Frontiers in Intelligent … , 2020
    2020.0
    Citations: 7
  • Robust Methods Using Graph and PCA for Detection of Anomalies in Medical Records
    KN Mohan Kumar, S Sampath, M Imran
    International Conference on Innovative Data Communication Technologies and … , 2019
    2019.0
  • An overview on disease prediction for preventive care of health deterioration
    KN Mohan Kumar, S Sampath, M Imran
    IJEAT 8 (5S), 255-261 , 2019
    2019.0
    Citations: 4
  • Development of Common Parallel Programming Platform for MPI and PVM
    V Swamy, S Sampath, BR Nanjesh, BB Sagar
    Artificial Intelligence and Evolutionary Algorithms in Engineering Systems … , 2014
    2014.0
  • Performance optimization of PVM based parallel applications using optimal number of slaves
    S Sampath, BR Nanjesh, S CK
    2014 International Conference on Reliability Optimization and Information … , 2014
    2014.0
    Citations: 2
  • Performance evaluation and comparison of MPI and PVM using a cluster based parallel computing architecture
    S Sampath, BB Sagar, BR Nanjesh
    2013 International Conference on Circuits, Power and Computing Technologies … , 2013
    2013.0
    Citations: 6
  • Performance evaluation of parallel applications using MPI in cluster based parallel computing architecture
    S Sampath, BB Sagar, CK Subbaraya, BR Nanjesh
    Proceeding of International Conference on “Emerging Research in Computing … , 2013
    2013.0
    Citations: 1
  • Evaluation of Parallel Application's Performance Dependency on RAM using Parallel Virtual Machine
    S Sampath, BR Nanjesh, HB Pramod
    International Journal of Computer Science & Communication Networks 2 (6), 641 , 2012
    2012.0
  • Performance analysis and evaluation of parallel applications using a CBPCF
    S Sampath, KB Sudeepa, BR Nanjesh
    International Journal of Computer Science and Information Technology … , 2012
    2012.0
    Citations: 4
  • PERFORMANCE EVALUATION OF LARGER MATRICES OVER CLUSTER OF FOUR NODES USING MPI
    S Sampath, BB Sagar
  • Determinism Modeling of PVM’s Non Deterministic Actions
    S Sampath, BB Sagar

MOST CITED SCHOLAR PUBLICATIONS

  • Ensemble nonlinear machine learning model for chronic kidney diseases prediction
    S Sampath, ML Prasad, MM Hussain, R Parameswari, DA Kumar, ...
    2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon), 1-6 , 2023
    2023.0
    Citations: 21
  • Decentralized digital identity wallet using principles of self-sovereign identity applied to blockchain
    S Sampath, M Sanjay, BR Nanjesh
    2022 IEEE 7th International Conference on Recent Advances and Innovations in … , 2022
    2022.0
    Citations: 9
  • Clustering diagnostic codes: Exploratory machine learning approach for preventive care of chronic diseases
    KN Mohan Kumar, S Sampath, M Imran, N Pradeep
    Intelligent Data Engineering and Analytics: Frontiers in Intelligent … , 2020
    2020.0
    Citations: 7
  • Performance evaluation and comparison of MPI and PVM using a cluster based parallel computing architecture
    S Sampath, BB Sagar, BR Nanjesh
    2013 International Conference on Circuits, Power and Computing Technologies … , 2013
    2013.0
    Citations: 6
  • Design and fabrication of miniaturized tri-band frequency selective surface with polarization-independent and angularly stable response
    SS Sampath, R Sivasamy
    Frequenz 75 (11-12), 493-499 , 2021
    2021.0
    Citations: 5
  • An overview on disease prediction for preventive care of health deterioration
    KN Mohan Kumar, S Sampath, M Imran
    IJEAT 8 (5S), 255-261 , 2019
    2019.0
    Citations: 4
  • Performance analysis and evaluation of parallel applications using a CBPCF
    S Sampath, KB Sudeepa, BR Nanjesh
    International Journal of Computer Science and Information Technology … , 2012
    2012.0
    Citations: 4
  • Performance optimization of PVM based parallel applications using optimal number of slaves
    S Sampath, BR Nanjesh, S CK
    2014 International Conference on Reliability Optimization and Information … , 2014
    2014.0
    Citations: 2
  • Comparative Analysis of Fake News Detection on Social Media
    PCA Anser, S Sampath
    2024 Second International Conference on Advances in Information Technology … , 2024
    2024.0
    Citations: 1
  • Miniaturized multi-band frequency selective surface with angular and polarization independent characteristic
    SS Sampath, R Sivasamy, M G, K G, N S
    Frequenz 76 (7-8), 453-460 , 2022
    2022.0
    Citations: 1
  • Performance evaluation of parallel applications using MPI in cluster based parallel computing architecture
    S Sampath, BB Sagar, CK Subbaraya, BR Nanjesh
    Proceeding of International Conference on “Emerging Research in Computing … , 2013
    2013.0
    Citations: 1
  • Robust Methods Using Graph and PCA for Detection of Anomalies in Medical Records
    KN Mohan Kumar, S Sampath, M Imran
    International Conference on Innovative Data Communication Technologies and … , 2019
    2019.0
  • Development of Common Parallel Programming Platform for MPI and PVM
    V Swamy, S Sampath, BR Nanjesh, BB Sagar
    Artificial Intelligence and Evolutionary Algorithms in Engineering Systems … , 2014
    2014.0
  • Evaluation of Parallel Application's Performance Dependency on RAM using Parallel Virtual Machine
    S Sampath, BR Nanjesh, HB Pramod
    International Journal of Computer Science & Communication Networks 2 (6), 641 , 2012
    2012.0
  • PERFORMANCE EVALUATION OF LARGER MATRICES OVER CLUSTER OF FOUR NODES USING MPI
    S Sampath, BB Sagar
  • Determinism Modeling of PVM’s Non Deterministic Actions
    S Sampath, BB Sagar

GRANT DETAILS

VGST, Department of Science & Technology, Govt of Karnataka sanctioned Lakhs, project completed in 2019.

INDUSTRY EXPERIENCE

One Year