Summary
Ali Mahmoudi is a doctoral candidate and machine learning researcher at TU Eindhoven with nine years of engineering and research experience applying state-of-the-art models to real-world sensor data. His PhD work focuses on robust human activity recognition using ambient sensing, tackling practical challenges such as heterogeneous sensor configurations, non-iid validation, open-set recognition, and transfer learning for intelligent lighting in collaboration with Signify. Trained originally in dynamical systems and nonlinear/chaotic theory, he shifted toward continual and online learning during his master's, bringing a strong theoretical lens to applied ML problems. Based in Eindhoven and also known as Vidat, he blends hands-on implementation with rigorous validation practices, making models that generalize across messy, real-world deployments.
9 years of coding experience
1 year of employment as a software developer
Amirkabir University of Technology
Doctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at Eindhoven University of Technology
Master of Science (M.Sc.), Mechatronics, Robotics, and Automation Engineering, Master of Science (M.Sc.), Mechatronics, Robotics, and Automation Engineering at University of Tehran
Diploma, Physics and Mathematics, Diploma, Physics and Mathematics at National Organization for Development of Exceptional Talents (NODET) Alborz Province Branch
English, Persian