Understanding the Shift to Agentic AI Tools
How AI agents are changing software development, productivity, and digital workflows.
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Welcome to my digital space
I'm Dinesh Paudel
Professor, Researcher & AI News Content Creator
I am Dinesh Paudel, from Nepal and currently based in Korea. I work as a university professor in AI & Big Data at Seoul Christian University and as a lecturer in Sports Biomechanics at Kangwon National University. My research interests include sports biomechanics, Physical AI, machine learning, wearable sensor systems, and intelligent monitoring systems. I also create content focused on verified AI trends, practical AI tools, and real-world AI developments.
Professor & Researcher
Bridging the gap between theory and physical application
About Me
University Professor in AI & Big Data
Seoul Christian University
Lecturer in Sports Biomechanics
Kangwon National University
Teaching
Research Areas
- Sports Biomechanics & Gait Analysis
- IMU Systems & Force Plates
- Lyapunov Exponent Estimation
- Physical AI & IoT Applications
- Autonomous Fire Detection Systems
- Basketball Free Throw Kinematics
- Wearable Sensor-Based Movement Analysis
Supervision & Collaboration
I actively supervise student research related to AI, sports biomechanics, basketball free throw kinematics, wearable IMU systems, and movement analysis. Open to academic collaborations.
Selected Publications
Selected publications and research outputs will be updated here.
AI-Based Movement Analysis Using Wearable IMU Systems
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Sports Biomechanics and Gait Stability Assessment
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Basketball Free Throw Kinematics Using Xsens IMUs
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Physical AI Applications for Real-World Monitoring Systems
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AI News Content Creator
I create factual, verified, and practical AI updates covering large language models, agentic AI tools, Physical AI, federated learning, AI coding tools, and applied machine learning.
LLMs
Physical AI
Agentic AI
Federated Learning
Machine Learning
AI Coding Tools
Applied AI
AI Research
Real-World AI Applications
AI Tool Review
Google Antigravity 2.0 Explained
AI Coding Tool ReviewA practical breakdown of Google's agentic coding platform and how it changes AI-assisted development.
Physical AI
Physical AI: When AI Meets the Real World
Physical AI UpdateExplaining how AI is moving from software-only systems into real-world sensing, robotics, biomechanics, and monitoring.
AI Research
Federated Learning for Privacy-Preserving AI
AI Research ExplainerA beginner-friendly explanation of how federated learning enables model training without centralizing private data.
Latest Writings
Articles on AI trends, research notes, and teaching materials.
AI Trends
Research Notes
Gait Analysis Using IMU Systems
A research-focused note on wearable sensors, movement analysis, and sports biomechanics.
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Teaching Material
Introduction to AI Mathematics
Core mathematical ideas students need for machine learning, AI models, and data science.
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Physical AI
Physical AI and Real-World Monitoring Systems
How AI can connect with sensors, IoT systems, and real-world environments for intelligent monitoring.
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+82 107 926 1938Location
KoreaAffiliation
Seoul Christian University, Department of AI & Big DataKangwon National University, Sports Biomechanics Lecturer