Sathishkumar Veerappampalayam Easwaramoorthy

@sunwayuniversity.edu.my

Professor
Sunway University

Sathishkumar Veerappampalayam Easwaramoorthy
Sathishkumar V E is a Lecturer in the Department of Computing and Information Systems at Sunway University, Malaysia. He has held significant roles, including Postdoctoral researcher positions at the Department of Software Engineering, Jeonbuk National University, Republic of Korea and the Department of Industrial Engineering, Hanyang University, Republic of Korea. In 2021, he served as an Assistant Professor in the Department of Computer Science and Engineering at Kongu Engineering College, Erode, India. He earned his Bachelor's degree in Information Technology from Madras Institute of Technology, Anna University in 2013, and a Master's degree in Biometrics and Cyber Security from PSG College of Technology in 2015. Through the Korean Government Scholarship Program, he completed a one-year Korean Language program at Inha University and earned a doctoral degree from the Department of Computer and Communication Engineering at Sunchon National University in 2021.

EDUCATION

Sathishkumar V E is a Lecturer in the Department of Computing and Information Systems at Sunway University, Malaysia. He has held significant roles, including Postdoctoral researcher positions at the Department of Software Engineering, Jeonbuk National University, Republic of Korea and the Department of Industrial Engineering, Hanyang University, Republic of Korea. In 2021, he served as an Assistant Professor in the Department of Computer Science and Engineering at Kongu Engineering College, Erode, India. He earned his Bachelor's degree in Information Technology from Madras Institute of Technology, Anna University in 2013, and a Master's degree in Biometrics and Cyber Security from PSG College of Technology in 2015. Through the Korean Government Scholarship Program, he completed a one-year Korean Language program at Inha University and earned a doctoral degree from the Department of Computer and Communication Engineering at Sunchon National University in 2021.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Information Systems, Computer Science Applications
3889

Scholar Citations

33

Scholar h-index

73

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Preventing Catastrophic Forgetting in New Tasks: Development of Artificial Intelligence Based Models for Depression Detection in Continual Learning Settings
    M Subramanian, G Deepalakshmi, K Shanmugavadivel, U Moorthy, ...
    International Journal of Computational Intelligence Systems 19 (1), 150 , 2026
    2026
  • Design of ML‐CASF: Multilayer Context‐Aware Sensor Fusion for Autonomous Vehicles in the Internet of Vehicles
    R Sukumar, VE Sathishkumar
    Autonomous Systems in the Internet of Vehicles, 37-54 , 2026
    2026
  • Visualization and Analysis of Usage Trends of Dynamic Demand-driven Bike-Sharing Systems Using Clustering Algorithms
    M Subramanian, SV Easwaramoorthy
    Franklin Open, 100645 , 2026
    2026
  • Navigation in Dynamic and GPS
    R Sangeetha¹, VE Sathishkumar
    Robotics in Weaponry using Machine Learning and Engineering , 2026
    2026
  • AI-Driven Diagnosis and Risk Stratification of Congenital Heart Defects Using Multimodal Cardiac Imaging
    VE Sathishkumar
    Sixth Congress on Intelligent Systems: CIS 2025, Volume 5 5, 214 , 2026
    2026
  • Data Mining Techniques for Fashion Retail Sales Analysis: a Comprehensive Approach to Knowledge Discovery
    VE Sathishkumar, B Balachander, J Iqbal, SS Anjum
    2026 3rd International Conference on Research Methodologies in Knowledge … , 2026
    2026
  • Scenario-Based Comparative Analysis of Relational and NoSQL Databases for Modern Applications
    SV Easwaramoorthy, J Iqbal, RG Rajakumari, SS Anjum, U Moorthy
    2026 3rd International Conference on Research Methodologies in Knowledge … , 2026
    2026
  • SQL vs NoSQL Database Models: Performance, Scalability, and Application Suitability
    SV Easwaramoorthy, J Iqbal, RG Rajakumari, SS Anjum, U Moorthy
    2026 3rd International Conference on Research Methodologies in Knowledge … , 2026
    2026
  • Unified Multimodal Information Flows for Immersive and Context-Aware 6G Systems
    R Manoharan, RVS Balan, GG Rajulu, AK Padhy, HEA Elsraj, U Moorthy, ...
    IEEE Open Journal of the Communications Society , 2026
    2026
  • K-STAMM: a knowledge-enhanced spatial–temporal attention model with multimodal fusion for pneumonia prediction
    S Anbukkarasi, S Hemalatha, A Balakrishnan, S Varadhaganapathy, ...
    Scientific Reports , 2026
    2026
  • An Agentic Retrieval-Augmented Generation Framework for Dynamic Career Path Optimization
    C Anilkumar, K Gunasagar, A Gayatri, SG Padhy, S Kavya, S VE
    2026 IEEE 15th International Conference on Communication Systems and Network … , 2026
    2026
  • IoT-Enabled Maternal Health Risk Prediction Using AdaBoost Classifier
    SS Mantena, VS Prabhu, LN Jayanthi, N Aneela, S Anand, ...
    2026 International Conference on Machine Learning and Autonomous Systems … , 2026
    2026
  • CTG-Based Fetal Health State Prediction Using Optimized Decision Tree Algorithm
    P Prabakaran, V Hemavathy, DCJW Wise, N Aishwarya, VE Sathishkumar
    2026 5th International Conference on Sentiment Analysis and Deep Learning … , 2026
    2026
  • Deep Reinforcement Learning for Adaptive Cruise Control in Connected Autonomous Vehicles
    H Azath, K Ganesan, RJ Kannan, N Mohankumar, S Sujatha, S VE
    2026 5th International Conference on Sentiment Analysis and Deep Learning … , 2026
    2026
  • A Transformer-Based Document Intelligence Framework for Automated Legal Text Summarization and Case Reasoning
    VSK Chaitanya, N Kumar, D Chaithanya, B Maram, UD Prasan, ...
    2026 International Conference on Emerging Technologies and Future … , 2026
    2026
  • Deep Learning-Based Image Super-Resolution: A Hybrid Approach Integrating CNNs and GANs
    GNR Devi, MS Kumari, B Maram, R Rajashekhar, A Misra, S VE
    2026 1st International Conference on Advancing Sustainable Solutions through … , 2026
    2026
  • Reinforcement Learning-Based Treatment Recommendation Systems for Infrequent Metabolic Disorders
    GNR Devi, B Maram, KVC Sekhar, R Rajashekhar, A Misra, S VE
    2026 1st International Conference on Advancing Sustainable Solutions through … , 2026
    2026
  • Blockchain-IoT Model for Secure Data Management in Remote Physiotherapy Systems
    YM Blessy, LN Jayanthi, S Anand, R Manojkumar, VE Sathishkumar
    2026 6th International Conference on Image Processing and Capsule Networks … , 2026
    2026
  • A LightGBM Approach for Multi-Factor Gastrointestinal Disease Risk Stratification
    SPS Priya, JJ Babu, RP Lakshmi, N Mohankumar, S VE
    2026 International Conference on AI-Driven Smart Systems and Ubiquitous … , 2026
    2026
  • Advanced AI Framework for Accurate Detection and Classification of Brain Tumors from MRI Images
    M Rajesh, K Swaminathan, K Vengatesan, M Usha, ...
    Intelligence-Based Medicine, 100348 , 2026
    2026

MOST CITED SCHOLAR PUBLICATIONS

  • Rice Leaf Diseases Prediction using Deep Neural Networks with Transfer Learning
    N Krishnamoorthy, LVN Prasad, CSP Kumar, B Subedi, HB Abraha, ...
    Environmental Research, 111275 , 2021
    2021
    Citations: 375
  • Forest fire and smoke detection using deep learning-based learning without forgetting
    VE Sathishkumar, J Cho, M Subramanian, OS Naren
    Fire ecology 19 (1), 9 , 2023
    2023
    Citations: 288
  • Using data mining techniques for bike sharing demand prediction in metropolitan city
    VE Sathishkumar, J Park, Y Cho
    Computer Communications 153, 353-366 , 2020
    2020
    Citations: 195
  • A survey on hate speech detection and sentiment analysis using machine learning and deep learning models
    M Subramanian, VE Sathiskumar, G Deepalakshmi, J Cho, ...
    Alexandria Engineering Journal 80, 110-121 , 2023
    2023
    Citations: 143
  • A rule-based model for Seoul Bike sharing demand prediction using weather data
    S VE, Y Cho
    European Journal of Remote Sensing 53 (S1), 166–183 , 2020
    2020
    Citations: 130
  • Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart city
    VE Sathishkumar, C Shin, Y Cho
    Building Research & Information, 1-17 , 2020
    2020
    Citations: 120
  • Deep learning-driven methods for network-based intrusion detection systems: A systematic review
    R Chinnasamy, M Subramanian, SV Easwaramoorthy, J Cho
    ICT Express 11 (1), 181-215 , 2025
    2025
    Citations: 112
  • A Survey on Cyber Security awareness among college students in Tamil Nadu
    K Senthilkumar, S Easwaramoorthy
    Iop conference series: Materials science and engineering 263 (4), 042043 , 2017
    2017
    Citations: 111
  • Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data
    K Shanmugavadivel, VE Sathishkumar, S Raja, TB Lingaiah, ...
    Scientific Reports 12 (1), 21557 , 2022
    2022
    Citations: 102
  • Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization
    M Subramanian, NP LV, J B, MB A, S VE
    Big Data , 2021
    2021
    Citations: 88
  • Fuzzy Efficient Energy Smart Home Management System for Renewable Energy Resources
    R Zhang, VE Sathishkumar, R Samuel
    Sustainability 12 (8), 1-15 , 2020
    2020
    Citations: 88
  • Diagnosis of retinal diseases based on Bayesian optimization deep learning network using optical coherence tomography images
    M Subramanian, MS Kumar, VE Sathishkumar, J Prabhu, A Karthick, ...
    Computational Intelligence and Neuroscience 2022 (1), 8014979 , 2022
    2022
    Citations: 80
  • Slope stability analysis using Rf, gbm, cart, bt and xgboost
    JP Bharti, P Mishra, U moorthy, VE Sathishkumar, Y Cho, P Samui
    Geotechnical and Geological Engineering 39 (5), 3741-3752 , 2021
    2021
    Citations: 79
  • Adsorptive removal of noxious atrazine using graphene oxide nanosheets: Insights to process optimization, equilibrium, kinetics, and density functional theory calculations
    S Muthusaravanan, K Balasubramani, R Suresh, RS Ganesh, ...
    Environmental research 200, 111428 , 2021
    2021
    Citations: 73
  • Multiple types of cancer classification using CT/MRI images based on learning without forgetting powered deep learning models
    M Subramanian, J Cho, VE Sathishkumar, OS Naren
    IEEE Access 11, 10336-10354 , 2023
    2023
    Citations: 72
  • Handcrafted deep-feature-based brain tumor detection and classification using mri images
    P Mohan, S Veerappampalayam Easwaramoorthy, N Subramani, ...
    Electronics 11 (24), 4178 , 2022
    2022
    Citations: 71
  • Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early detection
    K Shanmugavadivel, VE Sathishkumar, J Cho, M Subramanian
    Ageing Research Reviews 91, 102072 , 2023
    2023
    Citations: 61
  • Season wise bike sharing demand analysis using random forest algorithm
    S VE, Y Cho
    Computational Intelligence, 1-26 , 2020
    2020
    Citations: 58
  • Cloud-Based Extreme Learning Machines for Mining Waste Detoxification Efficiency
    T Poornachandar, A Latha, K Nisha, K Revathi, VE Sathishkumar
    2025 4th International Conference on Innovative Mechanisms for Industry … , 2025
    2025
    Citations: 57
  • The role of contemporary digital tools and technologies in Covid‐19 crisis: An exploratory analysis
    M Subramanian, K Shanmuga Vadivel, WA Hatamleh, AA Alnuaim, ...
    Expert Systems , 2021
    2021
    Citations: 51