Mamzi Afrasiabi is a Lecturer at the Department of Mechanical and Process Engineering, ETH Zurich. His research focuses on computational mechanics, fluid dynamics, and advanced manufacturing technologies. Computational Mechanics & Fluid Dynamics Manufacturing Process Simulation Multiphysics and Multiscale Modeling High-Performance Computing (HPC) Scientific Machine Learning (SciML) Dr. Afrasiabi holds a GRA Fellowship and Zienkiewicz Scholarship , with editorial roles in journals like the International Journal of Hydromechatronics . He received the CIRP Best Paper Award and is a Corporate Member of the International Academy for Production Engineering (CIRP).
Herbert Egger is a Professor of Numerical Analysis and Scientific Computing at Johannes Kepler University (JKU) Linz and heads the Institute of Numerical Mathematics. He is also a Group Leader at RICAM (Johann Radon Institute for Computational and Applied Mathematics) and Scientific Director at the Austrian Academy of Sciences. His research focuses on advanced numerical methods for partial differential equations, including structure-preserving discretizations, inverse problems, and computational electromagnetics. Current projects include SFB F90-N (CREATOR) for electric machine co-simulation, SPP 2256 for phase-field modeling in additive manufacturing, and TRR 146 on multiscale soft matter systems. Key research areas: mixed/hybrid finite element methods, energy-based modeling, model order reduction, radiative transfer, and inverse problem stabilization. His recent work emphasizes nonlinear magnetostatics, phase separation models, and efficient solvers for time-dependent systems. Egger collaborates internationally with institutions like TU Eindhoven and TU Darmstadt.
Andreas Almqvist is a Professor in Machine Elements at Luleå University of Technology (LTU), working within the Department of Engineering Sciences and Mathematics. He serves as the director and operations manager of the Center for Sports and Performance Technology (SPORTC) and is actively involved in research and teaching related to computational tribology. Almqvist has been affiliated with LTU since completing his Master's degree in 2001, progressing through academic ranks to his current professorship. Almqvist completed his Master of Science in Engineering at LTU in December 2001 and defended his PhD thesis in September 2006 titled 'On the Effects of Surface Roughness in Lubrication.' Following a 2-year postdoctoral position with Shell Global Solutions in England under the Marie Curie Transfer of Knowledge program (2007-2008), he returned to LTU in January 2009. He became Docent in November 2010, was appointed Associate Professor in January 2012, and was promoted to Professor in Machine Elements in May 2017. His research focuses on computational tribology, with particular emphasis on multiphysics and multiscale modeling and simulation of continuum mechanical problems in tribology and sports technology. His work spans contact mechanics, flows in thin gaps, and friction phenomena, with recent applications to skiing performance. Since fall 2021, he has been collaborating with the Swedish Olympic Committee's 'Olympisk Offensiv' research program alongside other prominent Swedish sports scientists. His research approach integrates applied mathematics with practical engineering challenges, often involving collaborations across departments including Fluid Mechanics, Mathematics, and Machine Learning. Analysis of Almqvist's recent publications reveals a strong trend toward applying tribological principles to winter sports performance, particularly skiing. His work bridges fundamental computational methods with practical applications, showing increasing interdisciplinary collaboration across engineering disciplines, sports science, and materials science. The research demonstrates both theoretical advances in modeling techniques and practical applications for performance enhancement in Olympic sports. ERC Grant Recipient Marie Curie Transfer of Knowledge Program Participant VR (Swedish Research Council) Grant Recipient for multiple projects including 'New Concepts in Thin Film Flow Modelling' (DNR 2014-4894) and 'Multiscale Topological Optimization for Lower Friction, Less Wear and Leakage' (DNR 2019-04293) Almqvist serves as Editor-in-Chief for 'The Proceedings of the IMechE Part J - Journal of Engineering Tribology' since 2019 and has been involved in numerous research projects funded by both academic and industrial partners. He has supervised student projects in collaboration with academic and industrial partners and has secured significant research funding from the Swedish Research Council. His educational leadership extends to serving as program director for the Engineering Physics and Electrical Engineering program at LTU. As director of the Center for Sports and Performance Technology (SPORTC), Almqvist leads the Ski and Snow Lab which focuses on physics at different scales related to friction in skiing. The center represents a strategic initiative at LTU to bridge engineering science with sports performance, creating a unique interdisciplinary research environment that brings together expertise from multiple departments including Machine Elements, Fluid Mechanics, and Mathematics.
Akimasa Hirata serves as Professor in the Department of Electrical and Mechanical Engineering within the Graduate School of Engineering, concurrently affiliated with the Advanced Medical Physics and IT Research Center. His work bridges engineering and medical applications through computational modeling of electromagnetic-biological interactions. Education: Doctor of Engineering, Communications Engineering, Osaka University (2000) Bachelor of Engineering, Department of Communications Engineering, Osaka University (1996) Hirata's research centers on electromagnetic human exposure safety, with dual focus on thermal and neural stimulation effects. He pioneers multiphysics simulation techniques integrating electromagnetic, thermal, and physiological models to assess health risks from wireless technologies. Current work emphasizes personalized exposure assessment using anatomical models and machine learning, particularly for 5G/mmWave systems and brain stimulation therapies. His heat stroke risk evaluation framework has been adopted in occupational safety standards. Analysis of his 2025 publications reveals strong thematic continuity in electromagnetic safety assessment (60% of works), with growing integration of AI methods (40% of recent papers). Key trends include anatomical model refinement for dosimetry, neural response prediction in brain stimulation, and thermal pain threshold modeling for emerging wireless technologies. Awards: MEXT Science and Technology Prize (Development Division, 2024) Richard R. Stoddar Award from IEEE EMC Society (2023) Japan Open Innovation Award (2022) Japan Academy Medal (2018) Hirata leads major funded projects including the 2021-2025 MEXT grant 'Computational Science Fusion for Brain Deep Stimulation' as Principal Investigator, and serves as coinvestigator on Ministry of Internal Affairs projects assessing 5G exposure thresholds. His international advisory roles include WHO expert consultations and chairing ICNIRP project groups. He directs research at the Advanced Medical Physics and IT Research Center, collaborating with neurologists and occupational health specialists. His team develops open-source anatomical models (e.g., SHARM head models) and heat stress alert systems deployed in Japanese workplaces.
