Sathishkumar Veerappampalayam Easwaramoorthy is a Senior Lecturer in the Department of Data Science and Artificial Intelligence 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. He currently serves as an academic editor for the journals Information Research Communications and BMC Research Notes. He is a reviewer of more than 200 journals and has reviewed more than 2000 articles. His Current research interests include Data Mining, Machine Learning, Big data analytics, Quantum Computing and High Performance Computing.

• Data Mining
• Machine Learning
• Big Data Analytics
• Quantum Computing
• High Performance Computing

• Malliga Subramanian, Sathishkumar V E, Nandhini Subbarayan, Usha Moorthy, "Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models", Journal of Big data, vol. 12, pp. 1-36, 2025.
• Rajkumar Rajavel, Lalitha Krishnasamy, Partheeban Nagappan, Usha Moorthy, Sathishkumar V E, "Cloud-enabled e-commerce negotiation framework using bayesian-based adaptive probabilistic trust management model", Scientific Reports, vol. 5, no. 1, 9457, 2025.
• Anitha Rajesh, Ramamurthy DineshKumar, Saranya Shanmugam, Jaehyuk Cho, Sathishkumar V E, "Enhancing security in social computing systems through knowledge learning techniques", Egyptian Informatics Journal, vol. 30, 100675, 2025.
• M. Rajesh, R. Ganesh Babu, Usha Moorthy, Sathishkumar V E, Nandhini Subbarayan, Usha Moorthy, "Machine learning-driven framework for realtime air quality assessment and predictive environmental health risk mapping", Scientific Reports, vol. 15, 28801, 2025.
• Malliga Subramanian, Kogilavani Shanmugavadivel, Sudha Thangaraj, Sathishkumar V E, Jaehyuk Cho, "Attention-aware Deep Learning Models for Dermoscopic Image Classification in Skin Disease Diagnosis", Current Medical Imaging, 2025.
• Ramya Chinnasamy, Malliga Subramanian, Sathishkumar V E, Jaehyuk Cho, "Deep learning-driven methods for network-based intrusion detection systems: A systematic review", ICT Express, vol. 11, pp. 181-215, 2025.
• Soundararajan Vidhurathan, Seethi Reddy Reddisekhar Reddy, H Thameem Basha, Shaik Jakeer, Usha Moorthy, Sathishkumar V E, Numerical simulation and machine learning approach of Eyring-Powell dusty hybrid nanofluid flow of solar thermal applications", International Journal of Computer Mathematics, 2025.
• Shaik Jakeer, H Thameem Basha, Sreedhara Rao Gunakala, Seethi Reddy Reddisekhar Reddy, Usha Moorthy, Sathishkumar V E, "Entropy generation and heat transfer in a partly heated I-shaped porous enclosure with hybrid nanofluids under magnetic and radiative effects", Journal of Radiation Research and Applied Sciences, vol. 18, no. 2, 101433, 2025.
• Giri Babu Kande, Madhusudana Rao Nalluri, R. Manikandan, Jaehyuk Cho, Sathishkumar V E, "Multi scale multi attention network for blood vessel segmentation in fundus images", Scientific Reports, vol. 15, 3438, 2025.
• Shaik Jakeer, Seethi Reddy Reddisekhar Reddy, Hayath Thameem Basha, Jaehyuk Cho, Sathishkumar V E, "Activation energy and Coriolis force impact on three-dimensional dusty nanofluid flow containing gyrotactic microorganisms: Machine learning and numerical approach", Nanotechnology Reviews, vol. 14, no. 1, 2025.
• B. Kalaiselvi, P. Anandan, Sathishkumar V E, Jaehyuk Cho, "IoT-driven cancer prediction: Leveraging AI for early detection of protein structure variations", Alexandria Engineering Journal, vol. 118, pp. 21-35, 2025.
• SKB Sangeetha, Rajeswari Rajesh Immanuel, Sandeep Kumar Mathivanan, Jaehyuk Cho, Sathishkumar V E, "An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare", IEEE Access, vol. 12, pp. 114416-114434, 2024.
• R Karthik, Armaano Ajay, Akshaj Singh Bisht, Jaehyuk Cho, Sathishkumar V E, "An Explainable Deep Learning Network for Environmental Microorganism Classification using Attention-Enhanced Semi-Local features", IEEE Access, vol. 12, pp. 151770-151784, 2024.
• Rajkumar Kulandaivel, Manikandan Ramachandran, Sathishkumar V E, Jaehyuk Cho, "Gauss Markov and Flow Balanced Vector Radial Learning network traffic classification on IoT with SDN", PLOS One, vol. 19, no. 10, 2024.
• Sathishkumar V E, "Editorial: Utilizing big data and deep learning to improve healthcare intelligence and biomedical service delivery", Frontiers in Big Data, vol. 7, 2024.
• R Karthik, R Menaka, Shivansh Atre, Jaehyuk Cho, Sathishkumar V E, "A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network", IEEE Access, vol. 12, pp. 158040-158051, 2024.
• R Karthik, Rohan Inamdar, S Kavin Sundarr, Jaehyuk Cho, Sathishkumar V E, "Point Cloud-based 3D Object Classification with Non local attention and Lightweight Convolution Neural Networks", IEEE Access, vol. 12, pp. 158530-158545, 2024.
• SK B Sangeetha, C Selvarathi, Sandeep Kumar Mathivanan, Jaehyuk Cho, Sathishkumar V E, "Secure Healthcare Access Control System (SHACS) for Anomaly Detection and Enhanced Security in Cloud-Based Healthcare Applications", IEEE Access, vol. 12, pp. 164543-164559, 2024.
• Jagadeesh Selvaraj, Noor Alleema Nakeeb, Jaehyuk Cho, Sathishkumar V E, "Enhancing Next-Generation Wireless Networks Using Preemptive Energy Conservation Technique", IEEE Access, vol. 12, pp. 169328-169343, 2024.
• Anusuya P, Vanitha C.N., Jaehyuk Cho, Sathishkumar V E, "A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks", PeerJ Computer Science, e2407, 2024.
• Vanaja Thulasimani, Kogilavani Shanmugavadivel,Jaehyuk Cho, Sathishkumar V E, "A Review of Datasets, Optimization Strategies, and Learning Algorithms for Analyzing Alzheimer’s Dementia Detection", Neuropsychiatric Disease and Treatment, vol. 20, pp. 2203-2225, 2024.
• Ch. Lakshmi Sireesha, Ravi Ragoju, Sathishkumar V E, Jaehyuk Cho, "Linear instability of the vertical throughflow in a porous layer saturated by a power-law fluid with Q6 variable gravity effect", Open Physics, 2024.
• S. Geeitha, K. Ravishankar, Jaehyuk Cho, Sathishkumar V E, "Integrating cat boost algorithm with triangulating feature importance to predict survival outcome in recurrent cervical cancer", Scientific Reports, Vol. 14, 19828, 2024.
• G Ramanan, Neela Rajan RR, S Suresh, Jaehyuk Cho, Sathishkumar V E, "Effect of Al7075 and activated carbon reinforced composite on optimizing WEDM responses", Materials Research Express, vol. 11, pp. 056517, 2024.
• Seethi Reddy Reddisekhar Reddy, Shaik Jakeer, Sathishkumar V E, H. Thameem Basha, Jaehyuk Cho, "Hybrid approach of deep feature extraction using BERT– OPCNN and FIAC with customized Bi-LSTM for rumor text classification", Alexandria Engineering Journal, vol. 90, pp. 65-75, 2024.
• Seethi Reddy Reddisekhar Reddy, Shaik Jakeer, Sathishkumar V E, H. Thameem Basha, Jaehyuk Cho, "Numerical study of TC4-NiCr/EG+Water hybrid nanofluid over a porous cylinder with Thompson and Troian slip boundary condition: Artificial neural network model", Case Studies in Thermal Engineering, vol. 53, 103794,2024.
• Kogilavani Shanmugavadivel, Sathishkumar V E, Jaehyuk Cho, Malliga Subramanian, "Advancements in computer-assisted diagnosis of Alzheimer’s disease: A comprehensive survey of neuroimaging methods and AI techniques for early detection", Ageing Research Reviews, vol. 91, 102072,2023.
• S. Neelakandan, Sathishkumar V E, A. Chinnasamy, Jaehyuk Cho, "AFuzzy adaptive learning control network (FALCN) for image clustering and content-based image retrieval on noisy dataset", AIMS Mathematics, vol. 8, no.8, pp. 18314–18338,2023.
• Shaik Jakeer, Shaik Jakeer, Sathishkumar V E, Hayath Thameem Basha, Jaehyuk Cho, "Exploring the Influence of Induced Magnetic Fields and Double-Diffusive Convection on Carreau Nanofluid Flow through Diverse Geometries: A Comparative Study Using Numerical and ANN Approaches", Mathematics, vol. 11, no.17, 3687,2023.
• Shaik Jakeer, Sathishkumar V E, Seethi Reddy Reddisekhar Reddy, Hayath Thameem Basha, "Numerical and Machine Learning Approach for Fe3O4-Au/Blood Hybrid Nanofluid Flow in a Melting/Non-Melting Heat Transfer Surface with Entropy Generation", Symmetry, vol. 15, no.8, 1503,2023.
• C.N. Vanitha, Sathishkumar V E, S.A. Krishna, Jaehyuk Cho, "Efficient qualitative risk assessment of pipelines using relative risk score based on machine learning", Scientific Reports, vol. 13, 14918,2023.
• Shanmugam Karuppusamy, Sathishkumar V E, Kanagaraj Dinesh Babu, Pandurengan Sakthivel, "Growth and Characterization of Organic 2-Chloro 5-Nitroaniline Crystal Using the Vertical Bridgman Technique", Crystals, vol. 13, no.9, 1349,2023.
• Sathishkumar V E, R. Vadivel, Jaehyuk Cho, Nallappan Gunasekaran, "Exploring the finite-time dissipativity of Markovian jump delayed neural networks", Alexandria Engineering Journal, vol. 79, pp. 427-437,2023.
• Malliga Subramanian, Jaehyuk Cho, Sathishkumar V E, Akash Murugesan, Ramya Chinnasamy, "Enhancing Sustainable Transportation: AI-Driven Bike Demand Forecasting in Smart Cities", Sustainability, vol. 15, no.18, 13840,2023.
• Malliga Subramanian, Sathishkumar V E, G. Deepalakshmi, Jaehyuk Cho, G. Manikandan, "A survey on hate speech detection and sentiment analysis using machine learning and deep learning models", Alexandria Engineering Journal, vol. 80, pp. 110-121,2023.
• Sathishkumar V E, A.G. Ramu, Jaehyuk Cho, "Machine learning algorithms to predict the catalytic reduction performance of eco-toxic nitrophenols and azo dyes contaminants (Invited Article)", Alexandria Engineering Journal, vol. 72, pp. 673-693,2023.
• Sathishkumar V E, Yongyun Cho, "MRMR-EHO-Based Feature Selection Algorithm for Regression Modelling", Tehnički vjesnik, vol. 30, pp. 574-583, 2023.
• Sathishkumar V E, Jaehyuk Cho, Malliga Subramanian, Obuli Sai Naren, "Forest fire and smoke detection using deep learning based Learning without Forgetting", Fire Ecology, vol. 10, pp. 1-17, 2023.
• Malliga Subramanian, Sathishkumar V E, Jaehyuk Cho, Kogilavani Shanmugavadivel, "Learning without forgetting by leveraging transfer learning for detecting COVID-19 infection from CT images", Scientific Reports, vol. 13, no. 1, 2023.
• Anbukkarasi S, Sathishkumar V E, C R Dhivya, Jaehyuk Cho, "Enhanced Feature Model based Hybrid Neural Network for Text Detection on Signboard, Billboard and News tickers", IEEE Access, vol. 11, 2023.
• Malliga Subramanian, Sathishkumar V E, Jaehyuk Cho, Obuli Sai Naren, "Multiple types of Cancer classification using CT/MRI images based on Learning without Forgetting powered Deep Learning Models", IEEE Access, vol. 11, pp. 10336-10354, 2023.
• Natesan P, Sathishkumar V E, Sandeep Kumar M, Maheswari Venkatesan, Prabhu Jayagopal, Shaikh Muhammad Allayear, "A Distributed Framework for Predictive Analytics using Big Data and Map-Reduce Parallel Programming", Mathematical Problems in Engineering, pp. 1-10, 2023.
• Malliga Subramanian, Vani Rajasekar, Sathishkumar V E, Kogilavani Shanmugavadivel, PS Nandhini, "Effectiveness of Decentralized Federated Learning Algorithms in Healthcare: A Case Study on Cancer Classification", Electronics, vol. 11, no. 24, pp. 4117, 2022.
• Kogilavani Shanmugavadivel, Sathishkumar V E, Sandhiya Raja, T Bheema Lingaiah, S Neelakandan, Malliga Subramanian, "Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data", Scientific Reports, vol. 12, no. 1, pp. 1-12, 2022.
• Prakash Mohan, Sathishkumar V E, Neelakandan Subramani, Malliga Subramanian, Sangeetha Meckanzir, "Handcrafted Deep-Feature-Based Brain Tumor Detection and Classification Using MRI Images", Electronics, vol. 11, no. 24, pp. 4178, 2022.
• Kogilavani Shanmugavadivel, Sathishkumar V E, M. Sandeep Kumar,V. Maheshwari,J. Prabhu,Shaikh Muhammad Allayear, "Investigation of Applying Machine Learning and Hyperparameter Tuned Deep Learning Approaches for Arrhythmia Detection in ECG Images", Computational and Mathematical Methods in Medicine, 2022.
• J. Chinna Babu, M. Sandeep Kumar, Prabhu Jayagopal,Sathishkumar V E , Sukumar Rajendran, Sanjeev Kumar, Alagar Karthick, Akter Meem Mahseena, "IoT-Based Intelligent System for Internal Crack Detection in Building Blocks", Journal of Nanomaterials, 2022.
• N. Shanthi, Sathishkumar V E, K. Upendra Babu, P. Karthikeyan, Sukumar Rajendran, Shaikh Muhammad Allayear, "Analysis on the Bus Arrival Time Prediction Model for Human-Centric Services Using Data Mining Techniques", Computational Intelligence and Neuroscience, 2022.
• E. Pavithra, Janakiramaiah, L.V.NarasimhaPrasad, D.Deepa, N.Jayapandian, Sathishkumar V E, "Visiting Indian Hospitals Before, During and After Covid", International Journal of Uncertainity, Fuzziness, and Knowledge- Based Systems, 2022.
• Rajalaxmi R R, Narasimha Prasad, B. Janakiramaiah, C S Pavankumar, N Neelima, Sathishkumar V E, "Optimizing Hyperparameters and Performance Analysis of LSTM Model in Detecting Fake News on Social media",ACM Transactions on Asian and Low-Resource Language Information Processing, 2022,
• Malliga Subramanian, M Sandeep Kumar, Sathishkumar V E, Jayagopal Prabhu, Alagar Karthick, S Sankar Ganesh, Mahseena Akter Meem, "Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images", Computational Intelligence and Neuroscience, 2022.
• Yufei, Liu, Sathishkumar V E, Adhiyaman Manickam, "Augmented reality technology based on school physical education training", Computers & Electrical Engineering, Vol. 99, 2022.
• Malliga Subramanian, L.V. Narasimha Prasad, B. Janakiramaiah, A. Mohan Babu, Sathishkumar V E, "Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization", Big Data, 2021.
• Sita Kumari Kotha, Meesala Shobha Rani, Bharat Subedi, Anilkumar Chunduru, Aravind Karrothu, Bipana Neupane , Sathishkumar V E, "A comprehensive review on secure data sharing in cloud environment", Wireless Personal Communications, 2021.
• Krishnamoorthy, L.V.Narasimha Prasad, C.S.Pavan Kumar, BharatSubedi, Haftom Baraki Abrahae, Sathishkumar V E, "Rice Leaf Diseases Prediction using deep neural networks with transfer learning", Environmental Research, Vol. 198, 111275, 2021.
• B.S.Reddy, A.K.Maurya, Sathishkumar V E, P.L.Narayana, M.H.Reddy, Alaa Baazeem, Kwon-KooCho, N.S.Reddy "Prediction of batch sorption of barium and strontium from saline water", Environmental Research, Vol. 197, 111107, April 2021.
• Zhang, Mengqia, Wang, Xi, Sathishkumar V E, Sivakumar V, "Machine learning techniques based on security management in smart cities using robots", WORK: A Journal of Prevention, Assessment & Rehabilitation, vol. 68, no. 3, pp. 891-902, 2021.
• Bharti, Jayanti Prabha, Pratishtha Mishra, Sathishkumar V E, Yongyun Cho, and Pijush Samui, "Slope Stability Analysis Using Rf, Gbm, Cart, Bt and Xgboost", Geotechnical and Geological Engineering, vol. 39, pp. 3741–3752, 2021.
• Jie Chen, Wei Shi, Xi Wang, Sanjeevi Pandian, Sathishkumar V E, "Workforce Optimization for Improving Customer Experience in Urban Transportation using Heuristic Mathematical Model", International Journal of Shipping and Transport Logistics, vol. 20, no. 5, pp. 538-553, 2021.
• Sathishkumar V E, Changsun Shin, Yongyun Cho, "Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart city", Building Research & Information, vol. 49. no. 1, pp. 127-143, 2021.
• Ronggang Zhang, Sathishkumar V E, R. Dinesh Jackson Samuel, "Fuzzy Efficient Energy Smart Home Management System for Renewable Energy Resources", Sustainability, vol. 12, no. 8, pp. 1-15, 2020.
• Sathishkumar V E, Jangwoo Park, Yongyun Cho "Seoul Bike Trip duration prediction using data mining techniques", IET Intelligent Transport Systems, vol. 14, no. 11, pp. 1465-1474, 2020.
• Sathishkumar V E, Jangwoo Park, Yongyun Cho, "Using data mining techniques for bike sharing demand prediction in Metropolitan city", Computer Communications, vol. 153, pp. 353-366, 2020.
• Sathishkumar V E, Yongyun Cho, "Season wise bike sharing demand analysis using random forest algorithm", Computational Intelligence, pp. 1-26, 2020.
• Sathishkumar V E, Yongyun Cho, "A rule-based model for Seoul Bike sharing demand prediction using Weather data", European Journal of Remote Sensing, Vol. 52, no. 1, pp. 166-183, 2020.
• G Ramanan, N Rahul, Sathishkumar V E, Indraraj Upadhyaya, "Enhancing Performance and Stability of Wing-Alone UAV: A Comprehensive Mathematical Model and Simulation Approach Using MATLAB and Simulink", Modelling and Simulation in Engineering, vol. 2025, 3515887, 2025.
• Jyoti Prakash Sharma, Rakesh Kumar, Sathishkumar V E, Usha Moorthy "Hybrid nanofluid flow along a conical gap geometry considering nanoparticle shapes and Riga disk", Results in Engineering, vol. 6, 104555, 2025.
• M Rajesh, Usha Moorthy, Sathishkumar V E, "Integrating holographic counterparts for intelligent IoT consumer devices", Discover Internet of Things, vol. 5, no. 76, pp. 1-14, 2025.
• M Rajesh, R. Sitharthan, R. Ganesh Babu, Usha Moorthy, Sathishkumar V E, "Spatiotemporal neural radiance fields for AI driven motion quality analysis", Discover Internet of Things, vol. 5, no. 91, pp. 1-18, 2025.
• M Rajesh, K Dhanasekaran, B Kalivara Prasad, Usha Moorthy, Sathishkumar V E, "Energy harvesting techniques for self-sustaining wearables in remote environments", Discover Internet of Things, vol. 5, no. 1, pp. 1-22, 2025.
• BalaAnand Muthu, Kogilavani Shanmugavadivel, Sathishkumar V E, Muthukumaran Maruthappa, Malliga Subramanian, Rajermani Thinakaran, "Attention Mechanism-Based CNN-LSTM for Abusive Comments Detection and Classification in Social Media Text", International Journal of Advanced Computer Science and Applications, vol. 15, no. 10, pp. 76-85, 2024.
• Chunduru Anilkumar, Swathi Lenka, N. Neelima, Sathishkumar V E, "A Secure Method of Communication Through BB84 Protocol in Quantum Key Distribution", Scalable Computing: Practice and Experience, vol. 25, no. 1, 2024.
• Neelakandan S, Sathishkumar V E, Prakash Mohan, Malliga Subramanian, Velmurugan Sambath "A Gradient Boosted Decision Tree-Based Influencer Prediction in Social Network Analysis", Big data and Cognitive Computing, vol. 7, no. 1, 2023.
• Li Yang, Sathishkumar V E, Adhiyaman Manickam "Information Retrieval and Optimization in Distribution and Logistics Management Using Deep Reinforcement Learning", International Journal of Information Systems and Supply Chain Management (IJISSCM), vol. 16, no. 1, 2023.
• S. Anbukkarasi, D. Elangovan, Jayalakshmi Periyasamy, Sathishkumar V E, S. Sree Dharinya, M. Sandeep Kumar and J. Prabhu "Phonetic based Forward Online Transliteration Tool from English to Tamil Language", International Journal of Reliability, Quality and Safety Engineering, 2023.
• E. Gothai, V. Muthukumaran, K. Valarmathi, Sathishkumar V E, Thillaiarasu.N, Karthikeyan P "Map-Reduce Based DistanceWeignted KNN Machine Learning Algorithm for Big Data Applications", Journal of Uncertain Systems, 2022.
• Sathishkumar V E, Anilkumar Chunduru, Usha Moorthy, Sravankumar B, "An Improved MangoNet Architecture Using Harris Hawks Optimization for Fruit Classification with Uncertainty Estimation", Journal of Uncertain Systems, 2022.
• Sathishkumar Easwaramoorthy, Anilkumar Chunduru, Usha Moorthy, Sravankumar B, "Review on dynamic group data sharing in cloud environment", International Journal of Science and Engineering, Vol. 7, No 2, 2018.

• M. Dhurgadevi, N. Naveena, Sathishkumar V E, A.Sugitha, A. Banupriya, Impact of XAI and Integrated Distributed Deep Learning in Industry 4.0, Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0, Volume 55 pp 95-114, Springer.
• Aravind Karrothu, Chunduru Anilkumar, Sathishkumar V E ,An Escrow-Free and Authenticated Group Key Management in Internet of Things, Smart Intelligent Computing and Applications, Volume 2 pp 505–512, Springer

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