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 background 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. 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 interests
Deep learning · Computer vision · 1_D, 2-D, and 3-D Generative models · Reinforcement learnin · Multimodal machine learningg · Robotics · 3D data analysis