Multiphysics modelling using FE and AI agents

Dr. Gasser Abdelal, a PhD holder in Aerospace Engineering and Lecturer at Queen's University Belfast's School of Mechanical and Aerospace Engineering, leads cutting-edge research in multiphysics modelling, seamlessly combining finite element (FE) analysis with AI agents to tackle complex engineering challenges. His expertise spans multiscale FE simulations for composite materials, manufacturing processes, and stress analysis, with a particular emphasis on high-fidelity multiphysics approaches that incorporate thermal, electrical, and structural phenomena. Key contributions include developing efficient multiphysics simulation frameworks for modeling lightning strike tests on aircraft structures, where AI agents—ranging from machine learning algorithms to deep neural networks—optimize computational workflows and predict material responses under extreme conditions. Abdelal's work also explores microstructural evolution in additive-manufactured products and the feasibility of multiphysics H2-O2 combustion models for space debris removal systems, such as the NIRCSAT-X project. By integrating AI with FE tools, his methodologies reduce simulation times while improving predictive reliability, enabling innovative applications in aerospace design, satellite structures (as detailed in his book Finite Element Analysis for Satellite Structures), and sustainable manufacturing. As a guest editor for the MDPI Special Issue on Advances in AI and Multiphysics Modelling, Abdelal champions the fusion of artificial intelligence with traditional simulation paradigms, fostering interdisciplinary advancements that bridge computational mechanics and intelligent systems. His research, published in venues such as IEEE Xplore and featured on Google Scholar, underscores a commitment to practical AI-enhanced tools that drive safer, more efficient engineering solutions in dynamic multiphysics scenarios.