AI Research Software Engineer at Humax Mobility Co. Ltd, South Korea
Dr. Dinesh Elayaperumal is an AI researcher and computer vision software engineer, currently serving as Manager in the AI Research (Computer Vision) division at Humax Mobility, South Korea. He earned his Ph.D. in Electronic and Information Engineering from Kunsan National University, specializing in deep learning-based object detection, segmentation, and multi-robot tracking systems. With expertise in 3D data annotation, Docker-based deployment, and ML frameworks such as TensorFlow, PyTorch, and OpenCV, Dr. Elayaperumal brings a robust mix of research and practical implementation skills. His prior academic work also includes medical image analysis for Alzheimer’s detection using machine learning techniques. He is a recipient of the prestigious NRF Korea Doctoral Scholarship.
Professional Profile
GOOGLE SCHOLAR
Summary of Suitability for Best Researcher Award
Dr. Dinesh Elayaperumal is a cutting-edge AI researcher whose profile demonstrates a robust blend of academic depth, technical innovation, and practical deployment of intelligent systems in the fields of computer vision, machine learning, and robotics. With a Ph.D. from Kunsan National University (South Korea), Dr. Dinesh’s research has focused on unified segmentation-based deep tracking systems, contributing substantially to intelligent video surveillance and swarm robotics coordination.
🎓 Education
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📘 Ph.D. in Electronic and Information Engineering
Kunsan National University, South Korea (Sep 2017 – Feb 2024)
🧠 Thesis: Unified Segmentation-Based Deep Tracking for Intelligent Video Surveillance
📊 CGPA: 4.2/4.5
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💡 M.E. in Computer Science and Engineering
Karpagam University, Tamil Nadu, India (Jun 2011 – May 2013)
🧪 Thesis: Classification of Alzheimer’s Disease Using FMRI, PET & SPECT
📊 CGPA: 8.67/10.0
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🖥️ B.E. in Computer Science and Engineering
Anna University, Tamil Nadu, India (Aug 2007 – May 2011)
🕒 Thesis: Synchronizing Clocks in Ad-Hoc Networks
📊 CGPA: 7.64/10.0
💼 Work Experience
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🧠 AI Research (Computer Vision) Software Engineer – Manager
Humax Mobility – PARCS Division, Gyeonggi-do, South Korea
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👨🏫 Assistant Professor – Computer Science and Engineering
Narasus’s Sarathy Institute of Technology, Tamil Nadu, India
🏆 Achievements & Honors
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🎓 Doctoral Fellowship
Awarded by National Research Foundation (NRF) of Korea
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🏅 Best Leadership Award
NSS Leadership Training Programme
Organized by the Directorate of School Education, Tamil Nadu, India
📜 Certifications & Trainings
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🤖 Learning Autonomous Driving Behaviors with LLMs & RL – Analytics Vidhya
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🐳 Containerization Using Docker – Coursera
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🔰 Docker for Beginners – Coursera
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💡 Supervised ML & Regression – DeepLearning.AI & Stanford University
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🧠 Neural Networks and Deep Learning – DeepLearning.AI
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🧬 Machine Learning with Python – IBM
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🔍 Deep Learning & ML Introduction – Kaggle
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🐍 Complete Python Course – Udemy
📚 Academic Projects
📹 Project I – Intelligent Video Surveillance for Anomaly Detection (Ph.D.)
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🔍 Specializes in segmentation-based deep tracking using CNNs and correlation filters
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🤖 Designed and simulated swarm robotic behavior using control laws like SMC, adaptive control, and backstepping
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💡 Implemented feature fusion using VGG16/19, ResNet50, MDNet
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✅ Benchmarked performance on industry datasets
🧠 Project II – Alzheimer’s Disease Classification Using ML (M.E.)
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📈 Used FMRI, PET, and SPECT datasets for medical image classification
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🧮 Applied NMF and SVM to accurately distinguish AD patients from healthy individuals
🛠️ Skills
Languages: Tamil (Native) 🗣️ | English (Professional) 🇬🇧 | Korean (TOPIK Level-1) 🇰🇷
Programming: Python 🐍 | C/C++ 💻 | Java ☕ | C#
ML Frameworks: TensorFlow ⚙️ | PyTorch 🔥 | Keras 🤖 | Scikit-learn 📊 | OpenCV 👁️
Tools: Docker 🐳 | Git/GitHub 🔧 | PyCharm 💡 | MATLAB 📐 | ROS (Basic) 🤖
Data Annotation: 2D/3D Labeling | 3D Bounding Box (BB) | Oriented Bounding Box (OBB)
Soft Skills: Teamwork 🤝 | Problem Solving 🧠 | Fast Learner 🚀
📚 Top Noted Publications
Cited : 55
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