This page highlights PhD students supervised by Fadi Al Machot, covering topics like applied machine learning, deep learning, robotics, and smart systems. Completed and in-progress projects are listed with thesis titles, and student names.
Finished PhDs
Vianney Kambale, Contributions to Robust Time Series Forecasting Analysis and/or Forecasting Involving Advanced Deep Learning Concepts, Unversity of Klagenfurt, Austria.
Ali Deeb, Artificial Intelligence-based Analog/Mixed Signals Designs Structure Recognition, Unversity of Klagenfurt & INFINEON, Austria
Main Supervisor
Rusith Chamara, Advancing Controlled Environment Agriculture using Artificial Intelligence, Norwegian University of Life Sciences, Norway.
William Heyden, Zero/Few- Shot Learning(ZSL/FSL) using Multimodal Sensors (ZSL++), Norwegian University of Life Sciences, Norway.
Aditya Dey, Real-Time Series Forecasting using Cellular Neural Networks, Norwegian University of Life Sciences, Norway.
Co-supervisor
Haris Hameed Mian, Intelligent CFD methods for the simulation of aerodynamic flow in offshore wind turbines, Norwegian University of Life Sciences, Norway.
Chandler Timm C. Doloriel, Enhancing Aquaculture Technologies Through Artificial Intelligence, Norwegian University of Life Sciences, Norway.
Hussein Ahmad, Trustworthy Multi-Horizon Time Series Forecasting for Critical Infrastructures From Static Architectures to Dynamic, Reliability-Aware Adaptatio, University of Klagenfurt, Austria.
Mohamed Mohsen Ahmed Salem, AI-Enabled Automation for the Future of Semiconductor Design and Development Workflows, University of Klagenfurt, Austria.
Abdalrahman Mahmoud A. M. Ibrahim, The Cognitive Stack: Bridging Topological Perception and Semantic Reasoning for Grounded Embodied Intelligence, University of Klagenfurt, Austria.
Eliska Sieglova, The Cognitive Stack: Bridging Topological Perception and Semantic Reasoning for Grounded Embodied Intelligence, Norwegian University of Life Sciences, Norway.