Post-Doctoral Researcher at Sejong University, South Korea📖
Dr. Sathishkumar Moorthy is an accomplished researcher specializing in artificial intelligence (AI), machine learning (ML), and deep learning (DL) with a focus on computer vision applications. With a proven track record in innovative research, he has developed cutting-edge techniques for video object detection, human emotion recognition, and intelligent surveillance systems. His expertise includes self-attention-based models, image processing, and multimodal data analysis. Dr. Moorthy has contributed to academia and industry through impactful publications and collaborative research projects, striving to advance computer vision and AI technology.
Profile
Google Scholar Profile
Education Background🎓
Dr. Sathishkumar Moorthy earned his Doctorate of Philosophy (Ph.D.) from Kunsan National University, South Korea (2017–2024), with a commendable CGPA of 4.16. His doctoral thesis focused on developing an enhanced self-attention-based Vision Transformer model for robust video object detection systems. He completed his Master of Engineering (M.E.) in 2013 from Karpagam Academy of Higher Education, Tamil Nadu, India, achieving an impressive CGPA of 9.05. His master’s thesis explored automatic diagnosis of breast cancer lesions using Gaussian Mixture Model and Expectation-Maximization algorithms. He holds a Bachelor of Engineering (B.E.) in Computer Science and Engineering from Anna University, Tamil Nadu, India (2011), graduating with a CGPA of 7.87. His undergraduate thesis analyzed and compared parsing techniques for asynchronous messages.
Professional Experience🌱
Dr. Sathishkumar has accumulated extensive experience across academia, industry, and research roles. He is currently a Post-Doctoral Researcher at Sejong University, South Korea (2024–Present), focusing on multimodal human emotion recognition using advanced Transformer-based models. Prior to this, he served as Manager of the AI Research Team at Smart Vision Tech Inc., Seoul, where he specialized in developing advanced object detection and segmentation algorithms, leveraging frameworks such as YOLO and Faster R-CNN. His teaching experience includes roles as Assistant Professor at Karpagam College of Engineering (2017) and J.K.K. Munirajah College of Technology (2013–2016) in Tamil Nadu, India, where he delivered lectures on programming, data structures, and algorithms and conducted workshops on mobile application development and genetic algorithms.
Dr. Moorthy’s research focuses on:
- Computer Vision: Video object detection, intelligent surveillance systems, and multimodal emotion recognition.
- Artificial Intelligence: Deep learning, Transformer models, and advanced neural network architectures.
- Industry Applications: Real-time fault detection, anomaly tracking, and autonomous systems using AI/ML techniques.
- Medical Imaging: Image segmentation and diagnosis using probabilistic and ML algorithms.
Author Metrics
Dr. Sathishkumar Moorthy has made significant contributions to the field of computer vision and artificial intelligence through his research and publications. His works focus on advanced AI/ML techniques, including Vision Transformers, multimodal emotion recognition, and object detection, particularly for real-world applications such as video surveillance and medical imaging.
He has authored several high-impact research papers in reputable journals and conferences, reflecting his expertise in image processing, deep learning, and robotics. His research output has garnered notable citations, showcasing the relevance and influence of his work in the academic and research communities. Dr. Sathishkumar’s Google Scholar profile highlights his active contributions to advancing AI-driven solutions for complex problems, affirming his position as a dedicated researcher in the field.
1. Distributed Leader-Following Formation Control for Multiple Nonholonomic Mobile Robots via Bioinspired Neurodynamic Approach
- Authors: S. Moorthy, Y.H. Joo
- Journal: Neurocomputing
- Volume: 492
- Pages: 308–321
- Year: 2022
- Citations: 43
- DOI/Link: [Check Neurocomputing journal for more details]
2. Gaussian-Response Correlation Filter for Robust Visual Object Tracking
- Authors: S. Moorthy, J.Y. Choi, Y.H. Joo
- Journal: Neurocomputing
- Volume: 411
- Pages: 78–90
- Year: 2020
- Citations: 31
- DOI/Link: [Check Neurocomputing journal for more details]
3. Adaptive Spatial-Temporal Surrounding-Aware Correlation Filter Tracking via Ensemble Learning
- Authors: S. Moorthy, Y.H. Joo
- Journal: Pattern Recognition
- Volume: 139
- Article Number: 109457
- Year: 2023
- Citations: 21
- DOI/Link: [Check Pattern Recognition journal for more details]
4. Multi-Expert Visual Tracking Using Hierarchical Convolutional Feature Fusion via Contextual Information
- Authors: S. Moorthy, Y.H. Joo
- Journal: Information Sciences
- Volume: 546
- Pages: 996–1013
- Year: 2021
- Citations: 21
- DOI/Link: [Check Information Sciences journal for more details]
5. Instinctive Classification of Alzheimer’s Disease Using fMRI, PET, and SPECT Images
- Authors: E. Dinesh, M.S. Kumar, M. Vigneshwar, T. Mohanraj
- Conference: 7th International Conference on Intelligent Systems and Control (ISCO)
- Year: 2013
- Citations: 15
- Pages: Available in the ISCO conference proceedings.
Conclusion
Dr. Sathishkumar Moorthy is an exemplary researcher whose work significantly contributes to advancing AI, ML, and computer vision. His combination of academic rigor, industry experience, and impactful research publications makes him a strong candidate for the Best Researcher Award.