Sathishkumar Veerappampalayam Easwaramoorthy
Also known as: Sathishkumar V E, V.E. Sathishkumar, Sathishkumar V.E.
Sunway University, Jeonbuk National University, PSG College of Technology, Madras Institute of Technology, Hanyang University
Research areas: Computer Science · Information Systems · Artificial Intelligence in Healthcare · Advanced Neural Network Applications · Data Mining and Machine Learning Applications
About
Sathishkumar Veerappampalayam Easwaramoorthy is a Senior 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. He currently serves as an academic editor for the journal Information Research Communications and BMC Research Notes. He is a reviewer of more than 200 journals and has reviewed more than 2000 articles.
Employment
-
Sunway University Lecturer2023 - Present
-
Jeonbuk National University Postdoctoral researcher2022 - 2023
-
Hanyang University Postdoctoral Researcher2021 - 2022
-
Kongu Engineering College Assistant Professor2020 - 2021
-
VIT University Research Associate2015 - 2017
Education
-
PSG College of Technology Master of Engineering2013 - 2015
-
Madras Institute of Technology Bachelor of Technology2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (248)
- A recommender framework for sustainable coastal disaster management using big data, maritime surveillance, and AIOps Save
- COSINE SIMILARITY WITH OWA-BASED TOPSIS FOR A TRIANGULAR FUZZY SETS AND GRAPH THEORY FOR CLOUD SERVICE SELECTION Save
- Revolutionizing onsite microbial testing with a PID-controlled portable incubator for remote and resource-limited areas Save
- Visualization and analysis of usage trends of dynamic demand-driven bike-sharing systems using clustering algorithms Save
- DRAGONet: A Deep Reinforcement Learning Framework for Autonomous UAV Navigation in Dynamic and GPS-Denied Environments Save
- Enhancement of solar PV/T systems through cellulose nanocrystal -based cooling Save
- SQL injection defence strategy (SQLi-DS) in legacy and modern web applications to enhance cybersecurity in IoT and AI era Save
- Explainable artificial intelligence for risk assessment and personalized management of atopic dermatitis Save
- Advanced AI framework for accurate detection and classification of brain tumours from MRI images Save
- Block Chain Based Service Publishing for Recommendation System Save
- COSINE SIMILARITY WITH OWA-BASED TOPSIS FOR A TRIANGULAR FUZZY SETS AND GRAPH THEORY FOR CLOUD SERVICE SELECTION Save
- Deep learning for Alzheimer's disease and mild cognitive impairment detection Save
- Design of MLâCASF Save
- Enhancing Classification Accuracy Using Dimensionality Reduction Techniques for Machine Learning Save
- K-STAMM: a knowledge-enhanced spatial - temporal attention model with multimodal fusion for pneumonia prediction Save
- List of contributors Save
- Malware Analysis and Detection Save
- Mitigating Data Bias and Errors Through Machine Unlearning for Accurate Human Skin Disease Prediction Save
- Predicting daily new cases of COVID-19 using data mining techniques Save
- Preventing Catastrophic Forgetting in New Tasks: Development of Artificial Intelligence Based Models for Depression Detection in Continual Learning Settings Save