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Marcelo ReggioView profile

Professor

• Fluid Mechanics
• Computational Fluid Dynamics
• Lattice Boltzmann Method
• +3 more

Marcelo Reggio is a Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal, where he has established a significant research career spanning fluid dynamics and computational methods. He is an active member of the Fluid Dynamics Laboratory (LADYF), focusing on cutting-edge simulations of complex fluid phenomena. His educational background includes: Baccalaureate from Chile Master of Applied Science (M.Sc.A.) from Polytechnique Montréal Ph.D. from Polytechnique Montréal Research Focus: Professor Reggio's work centers on Computational Fluid Dynamics (CFD) with specialization in the Lattice Boltzmann Method (LBM). His research addresses fundamental and applied challenges in: Turbomachinery design optimization Wind turbine aerodynamics and icing effects Rarefied gas flows through porous media Multicomponent and multiphase flow modeling River current dynamics This work bridges theoretical fluid mechanics with industrial applications in energy and manufacturing. Publication Trends: Analysis of his 15 most recent articles (2016-2024) reveals dominant themes: advanced LBM techniques for non-equilibrium gas flows, validation of open-source CFD codes, multiphase interactions, and stochastic modeling of porous materials. His methodological innovations consistently target improved accuracy in complex physical scenarios. Academic Supervision: Professor Reggio maintains an active research group, having supervised: 12 doctoral students 20 master's students Student theses frequently explore LBM applications, turbomachinery, and numerical method development. Laboratory Leadership: At the Fluid Dynamics Laboratory (LADYF), he contributes to developing computational frameworks for fluid simulation, emphasizing GPU acceleration and industrial problem-solving.

Jean-Philippe NoyelView profile

Associate Professor

• Finite Element Analysis
• Solid Mechanics
• Applied Mechanics
• +3 more

Jean-Philippe Noyel serves as Associate Professor at ECAM School of Engineering in Lyon, France, within the Materials and Structures department. His academic position focuses on mechanical engineering research with specialization in material behavior under cyclic loading conditions and contact mechanics. His research expertise spans critical mechanical engineering domains: Finite Element Analysis and Computational Modeling Solid and Applied Mechanics Stress Analysis and Fracture Mechanics Damage Mechanics and Material Degradation Dr. Noyel's publication record (2009-2025) reveals a consistent research trajectory centered on rolling contact fatigue mechanisms, where he pioneered mesoscopic modeling approaches to predict crack initiation at grain boundaries. His work integrates crystal anisotropy and microstructural effects into cohesive zone models, advancing predictive capabilities for components like bearings and gears. Concurrently, he has made significant contributions to polymer nanocomposite research, particularly investigating viscoelastic effects in BaTiO3-filled HDPE systems through combined experimental and micromechanical approaches.

Adélaïde RaguinView profile

Researcher

• Computational Biophysics
• Stochastic Modeling
• Plant Cell Wall Biosynthesis and Degradation
• +6 more

Dr. Adélaïde Raguin leads the Computational and Theoretical Biophysics research group within the Institute for Computational Cell Biology at Heinrich Heine University Düsseldorf's Department of Computer Science. She established her independent third-party funded research team in 2021 after postdoctoral work at University of Aberdeen and Heinrich Heine University. Her group develops advanced stochastic simulation methods to investigate mesoscopic biological systems with emphasis on plant polysaccharides, protein synthesis regulation, and cytoskeletal transport. Her primary research interests focus on the dynamics of complex biological polymers , particularly plant cell wall biosynthesis/degradation, starch biogenesis, glycogen granule formation, and protein synthesis regulation. Using computational biophysics approaches, her team bridges theoretical modeling with experimental validation to understand how molecular structure interplays with enzymatic processes in systems like lignocellulose saccharification and starch granule formation. Key methodologies include stochastic simulations of collective transport processes and development of predictive tools for biological systems. The group's publication trends reveal strong focus on plant biomass conversion (40% of recent work), macromolecular dynamics (30%), and translation regulation (20%), with increasing emphasis on software tool development for experimentalists. Recent outputs include the PREDIG web application for saccharification prediction and ExpressInHost for codon optimization. Dr. Raguin actively supervises multiple PhD and Master's students while leading the Stochastic Models of Biological Systems module in the Computer Science Master's program. Her research is supported by major grants from CEPLAS, BioSC, DFG, and BMBF, including the OptiCellu project for sustainable cellulose fiber production and EtransColi for bacterial stress response studies. Her laboratory maintains strong collaborations with experimental groups through the CEPLAS Cluster of Excellence and develops open-source software tools including: ExpressInHost: Codon tuning for recombinant protein expression PREDIG: Web application for plant biomass saccharification modeling Glycogen granule biogenesis simulation tools Whole-translatome protein production models

• Superconductivity
• Nanotechnology
• Topological Physics
• +4 more

Prof. Dr. Vladimir M. Fomin serves as a Research Professor at the Institute for Integrative Nanoscience (IIN) within the Leibniz Institute for Solid State and Materials Research Dresden. His academic career spans over 15 years with extensive contributions to nanostructured superconductors and topological materials. His research focuses on geometric control of superconductivity in 3D nanoarchitectures , specializing in vortex dynamics, topological transitions, and quantum effects in curved nanostructures. Key areas include superconducting nanotubes, quantum rings, and phonon engineering in nanomembranes. His work bridges theoretical modeling with experimental nanofabrication techniques. Analysis of his 15 most recent publications (2023-2025) reveals dominant trends in topology-driven superconductivity and geometric manipulation of quantum states . The research consistently explores how curvature and topology affect vortex matter, with applications in superconducting electronics and quantum computing. Sub-fields prominently featured include vortex ratchets, Shapiro steps, magneto-polaron resonances, and microwave generation in nanoscale systems. His scientific impact is evidenced by 64 journal papers, 9 contributed book chapters, 95 invited talks across 15+ countries, and 5 monographs. Notable speaking engagements include keynote addresses at IEEE-NANO 2022, K. Alex Müller Workshop (2023), and international seminars from Moscow to Busan. Prof. Fomin actively supervises PhD projects in geometric control of superconductivity and collaborates globally with institutions including Universidad Autónoma de Madrid, Pusan National University, and Argonne National Laboratory. His research group develops advanced simulation frameworks for curved nanostructures while maintaining strong experimental partnerships for nanofabrication and characterization. He leads research on catalytic micro/nanoengines and superconducting vortex matter, with recent work focusing on reconfigurable 3D superconducting architectures and topological transitions in ac/dc-driven systems. Current projects involve quantum interference phenomena in non-ideal mesoscopic rings and phonon spectrum engineering in rolled-up nanostructures.