Amin Mavaddat
I am an AI researcher and machine learning engineer based in Helsinki, Finland. My work focuses on developing machine learning methods for real-world problems, with interests in deep learning, computer vision, multimodal learning, generative models, and reinforcement learning.
I received my Master's degree in Micro- and Nano Systems Technology from the University of South-Eastern Norway in 2023. I have worked on AI-driven projects involving robotic cutting-pattern generation, 3D ship-structure analysis, multimodal sensor data, and multi-agent systems.
News
- 2026 — Our paper, “Patch-Wise Regressor-Guided Preprocessing for Multiple Instance Learning in RGB Image Classification,” was accepted at IEEE CAI 2026.
- 2025 — Published “A Hybrid Deep Learning-Based Approach in Agricultural Sustainability” at AICCONF 2025.
Research
My research explores machine learning and deep learning for visual data, sensing, robotics, and engineering applications.
Research project
AI for Robotics and Engineering Analysis
Reinforcement learning, robotic cutting-pattern generation, and 3D ship-structure analysis
Research interests
Deep learning · Computer vision · Multimodal machine learning · Generative models · Reinforcement learning · Robotics · 3D data analysis