Faouzi Laadhari is an Associate Professor at Université Claude Bernard Lyon 1, affiliated with the Fluid Mechanics and Acoustics Laboratory (LMFA - UMR 5509). He is part of the Turbulence & Instabilities research team, focusing on fluid dynamics, turbulence, and flow instabilities. His work involves numerical and experimental studies in multiphase flows, aeroacoustics, and computational methods. The LMFA is a joint research unit between CNRS, INSA Lyon, and École Centrale Lyon, specializing in fluid mechanics and acoustics. Research interests include turbulence modeling, flow instability analysis, and applications in geophysical and industrial contexts. Collaborative projects with academic and industrial partners (e.g., Framatome) are ongoing. He contributes to the EM 3 team (Multi-physical, Multi-phase & Multi-scale Flows), which addresses complex fluid dynamics challenges. Labs/Teams: Member of LMFA and the Turbulence & Instabilities team. Involved in experimental facilities such as PIV, LDV, and anechoic wind tunnels. No specific awards or grants are explicitly listed in the provided text.
Professor Hugh Osborn holds the position of Professor of Mathematics at the Department of Applied Mathematics and Theoretical Physics (DAMTP) , part of the Faculty of Mathematics at the University of Cambridge. His research focuses on Quantum Field Theory , with a particular emphasis on Conformal Field Theory , Renormalization Group flows , and High Energy Physics . He is associated with the High Energy Physics Research Group at DAMTP and maintains a personal homepage at http://www.damtp.cam.ac.uk/user/ho/ . Research Interests Osborn's work explores foundational aspects of quantum field theory, including conformal symmetry, critical phenomena, and the mathematical structures underlying particle physics. His contributions span topics such as conformal bootstrap techniques , superconformal indices , and exact renormalization group equations . Recent studies include analyses of multi-critical fixed points and the diagonal limit of conformal blocks in diverse dimensions. Publications His most recent publications (2018–2005) emphasize advancements in conformal field theory, renormalization group methods, and superconformal symmetry. Key themes include the exploration of fixed points in scalar theories, structures in six-dimensional conformal manifolds, and applications of the superconformal index in dual theories. Awards & Grants No specific awards or grants are explicitly listed in the provided texts. However, his extensive publication record and academic position reflect sustained contributions to theoretical physics. Labs & Collaborations Osborn collaborates within the High Energy Physics group at DAMTP, contributing to interdisciplinary research at the interface of mathematics and physics. His work often involves theoretical frameworks applicable to both particle physics and condensed matter systems.
Dr. Patrik Knopf is a Lecturer at the University of Regensburg, Faculty for Mathematics. He holds a Dr. rer. nat. habil. (Habilitation) from the University of Regensburg (2024) and a PhD (Dr. rer. nat.) from the University of Bayreuth (2017). His research focuses on partial differential equations, optimal control theory, and mathematical physics, with applications to materials science and fluid dynamics. Notable achievements include the 2024 Richard von Mises Prize from the GAMM. He has conducted research visits at the Illinois Institute of Technology (2019) and Fudan University (2025). Knopf leads a research team and oversees a DFG-funded doctoral position. His work spans topics such as Cahn-Hilliard equations with dynamic boundary conditions, phase-field methods, and plasma control via Particle-In-Cell methods. Education: Habilitation (2024): University of Regensburg PhD (2017): University of Bayreuth M.Sc. (2013), B.Sc. (2011): University of Bayreuth Awards: Richard von Mises Prize (2024) Grants: DFG grant for a doctoral student DAAD-funded visit for Dr. Sema Yayla (2024) Research Interests: Phase separation dynamics, optimal control of PDEs, fluid-structure interactions, and numerical methods for kinetic equations.
Tyler Maunu is an Assistant Professor of Mathematics at Brandeis University, affiliated with the Department of Mathematics and the Benjamin and Mae Volen National Center for Complex Systems. His research focuses on statistical methodologies, optimization algorithms, machine learning, and their applications to computer vision and data science. He holds a Ph.D. in Mathematics from the University of Minnesota-Twin Cities, alongside multiple advanced degrees from the same institution. Maunu's research advances robust subspace recovery and optimal transport, emphasizing scalable and privacy-aware techniques. His work bridges theoretical foundations (e.g., non-convex optimization landscapes) with practical applications in data recovery and generative modeling. Notable areas include Bures-Wasserstein geometry, stochastic gradient methods, and adversarial robustness in high-dimensional data analysis. His articles span topics like preconditioned Langevin Monte Carlo, optimal transport barycenters, and scalable graph matching algorithms. While no explicit awards are cited, his contributions reflect ongoing innovation in computational statistics and optimization. His affiliation with the Volen Center underscores interdisciplinary engagements in complex systems research.
Dr. Ruixue Cheng is a Senior Lecturer in Mathematics at the School of Engineering, Computing and Digital Technologies (SCEDT), Teesside University. She holds academic qualifications from Northeast University China (BEng), University of Science and Technology Beijing (MSc), and Teesside University (PhD in gas-solids flow measurement). Her career spans academia and industry, including roles at ABB Automation Ltd and the University of Science and Technology Beijing. Her research focuses on flow measurement, multi-phase flow sensing, signal processing, and mathematical modeling of combustion systems. Education: BEng in Instrumentation and Control Engineering, Northeast University, China MSc in Automation, University of Science and Technology Beijing, China PhD in Gas-Solids Flow Measurement, Teesside University, UK Research Interests: Development of advanced instrumentation systems for coal-fired power plants Optimization of pulverised fuel metering and signal processing Combustion diagnostics using laser and deep learning techniques Her work has led to 4 patents and over 40 academic publications in journals like Combustion and Flame and Experimental Thermal and Fluid Science . Scientific Awards: National Metrology Prize (2023) for contributions to clean fuel combustion technology Grants & Patents: EU, DTI, and industry-funded research projects on solids-gas flow metering systems 4 patents on pulverised fuel metering systems and signal processing Labs/Teams: Active in the Centre for Sustainable Engineering, collaborating on combustion diagnostics and sensor technology development.
Alberto Alberello is a Research Fellow at the University of East Anglia 's School of Engineering, Mathematics and Physics, specializing in Fluids & Structures . His work focuses on wave-ice interactions, polar oceanography, and nonlinear wave dynamics. Doctor of Science, Swinburne University of Technology (2017) Master of Engineering, Politecnico di Milano (2012) Bachelor of Engineering, Politecnico di Milano (2010) Alberello's research explores the complex interactions between ocean waves and sea ice, particularly in Antarctic and Arctic environments. He investigates wave propagation in ice-covered waters, wave-induced ice breakup, and the development of numerical models like WIce-FOAM for simulating heterogeneous sea ice systems. His work contributes to understanding climate dynamics and improving maritime safety in polar regions. His recent publications demonstrate expertise in wave mechanics, with a focus on parameter-free Schrödinger systems, ICESat-2 altimetry validation, and nonlinear wave evolution under heterogeneous damping. Alberello's work spans both theoretical modeling and experimental validation through wave tank studies and field measurements. Alberello actively collaborates internationally, with recent projects involving institutions such as the Isaac Newton Institute for Mathematical Sciences , London Mathematical Society , and the Daiwa Anglo-Japanese Foundation . He has presented at conferences in New Zealand and Australia and conducted fieldwork in the Southern Ocean and Okhotsk Sea.
Kenny Gruchalla is an Adjunct Assistant Professor at the University of Colorado, affiliated with the National Renewable Energy Laboratory (NREL). His research focuses on scientific visualization techniques for large-scale energy systems, including immersive visualization, high-performance computing, and GPU-based solutions. He specializes in analyzing power grid dynamics, renewable energy integration, and human-computer interaction in energy scenarios. Affiliations: University of Colorado (Computer Science), NREL (Energy Systems Group) Research Themes: Energy Visualization, Grid Resilience, Renewable Technologies His work emphasizes visual analytics for decision-making in energy systems, such as anomaly detection in grids, AR-based training for solar technicians, and AI-driven grid management (eGridGPT). He collaborates with industry partners like Duke Energy and utilities to address challenges in distributed energy resources and decarbonization. Key contributions include the SAGA platform for grid anomaly detection, blade-resolved wind turbine simulations, and frameworks for contextual compression of large-scale datasets. His team also developed tools like the Surface Phase Explorer for catalyst modeling and the OpenStudio City Database for city-scale energy analysis. Gruchalla has been recognized with the APS Gallery of Fluid Motion Award (2021) for his work on jet impingement visualization. His research bridges computational science, visualization, and energy engineering, with a focus on translating complex data into actionable insights for stakeholders.
Dr. Nadia Kouraytem is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Utah State University, where she directs the METAL 3D Structures Lab. Her research focuses on characterizing process-structure-property relationships in laser-based metal additive manufacturing using advanced experimental techniques and in-situ measurements. She collaborates with national laboratories and industry partners to advance applications in aerospace, defense, and renewable energy sectors. Education PhD in Mechanical Engineering from King Abdullah University of Science and Technology (KAUST, 2016), MS in Mechanical Engineering (KAUST, 2013), and BS in Mechanical Engineering from American University of Beirut (2011). Research Interests Her work encompasses metal additive manufacturing (3D printing), multi-scale material characterization, process optimization for structural applications, and the development of physics-driven and data-driven models to predict material behavior under extreme conditions. She employs techniques ranging from in-situ X-ray imaging to mechanical testing across temperature and strain-rate regimes. Publication Focus Her 15 most recent articles (2016–2025) predominantly explore additive manufacturing defects, process parameter optimization, material behavior under dynamic loading, and innovative characterization methods. Trends include laser powder bed fusion, multi-material systems, and computational modeling approaches bridging microstructural features to macroscopic properties. Awards and Honors Undergraduate Research Mentor of the Year, MAE Department, USU Recognition as a woman leader in Utah's advanced manufacturing industry (UAMMI) Grants and Advising She secured a $800,000 NEUP grant to study mechanical variability in additively manufactured metals and collaborates on a DOE-SETO project analyzing creep-fatigue interactions for renewable energy applications. Currently advises five graduate students on topics including functionally graded materials and recuperator design for concentrated solar power. Laboratory Leadership The METAL 3D Structures Lab utilizes in-situ process monitoring, microstructural characterization, and multi-scale mechanical testing to evaluate additive manufacturing outcomes. Current projects involve collaborations with Argonne National Laboratory and industry partners to qualify materials for high-temperature applications.
Peter Glarborg is a Professor in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU). He is actively involved with the CHEC Research Centre and maintains a strong research presence in combustion chemistry and related fields. His work spans multiple research projects and collaborations, with recent activities including supervision of PhD students working on topics such as multi-component fuel oxidation, waste-to-energy NOx control, and phosphorus chemistry in thermal conversion of waste. Gl Professor Glarborg's research focuses on high temperature chemistry, chemical kinetic modeling, combustion processes, and harmful emission control. His work contributes significantly to addressing UN Sustainable Development Goals related to clean energy and environmental protection. His fingerprint analysis shows strong expertise in flow reactor engineering, kinetic modeling, methane chemistry, low-temperature processes, pyrolysis, and ignition phenomena. His recent publications demonstrate a continued focus on advancing fundamental understanding of combustion chemistry while addressing practical environmental challenges. His scientific contributions span numerous publications including 304 journal articles, 42 conference proceedings, 31 reports, and various other research outputs totaling 446 publications. His research has been cited extensively, with some publications accumulating over 100 citations. Glarborg is particularly active in the areas of nitrogen chemistry, biomass conversion, and emission control technologies. Research expertise spans high temperature chemistry, chemical kinetic modeling, and combustion processes Active contributor to UN Sustainable Development Goals related to clean energy and environmental protection Specializes in flow reactor engineering, kinetic modeling, and methane chemistry Focuses on practical applications for emission control and sustainable energy solutions Professor Glarborg actively supervises PhD students and collaborates on multiple research projects. His current supervision includes projects on multi-component fuel oxidation, waste-to-energy NOx control, oxyfuel combustion in cement plants, and phosphorus chemistry in thermal conversion of waste. His collaborative network extends internationally, with research activities spanning multiple countries and institutions. Glarborg is also involved in the CHEC Research Centre, a long-term project that has been active since 1986, focusing on harmful emissions research with applications in emission control and international cooperation.
Mathieu Creyssels is an ECL Lecturer and researcher at the Laboratory of Fluid Mechanics and Acoustics (LMFA - UMR 5509), affiliated with École Centrale de Lyon in Lyon, France. His research focuses on fluid mechanics, turbulence, heat transfer, and geophysical fluid dynamics. He collaborates with Benoit Pier on transition to turbulence studies and investigates turbulent thermal convection at the Physics Laboratory of École Normale Supérieure de Lyon. Education includes teaching roles in mechanics and physics courses at École Centrale (ECL) and a Master's in Research in Mechanics from UCBL/ECL/INSA. His work spans experimental and numerical approaches to fluid dynamics challenges in energy systems, industrial processes, and biomedical applications. Recent research highlights include studies on surface micromorphology effects on heat exchange, turbulence modeling in rotating flows, and electrical transport in granular media. He advises students in fluid mechanics and co-leads projects on multi-phase flows and environmental fluid dynamics. Active in LMFA's Turbulence & Instabilities team, he contributes to instrumentation development and experimental facilities like anechoic wind tunnels and environmental hydrodynamics channels. His work addresses societal challenges in energy efficiency and fluid dynamics optimization.
Iker Rivas-González is a postdoctoral researcher at the Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology in Leipzig. Previously, he earned a Bachelor’s in Biochemistry and Molecular Biology from the University of the Basque Country, followed by a Master’s in Bioinformatics at Aarhus University (Denmark). He completed his PhD at Aarhus University, focusing on primate phylogenomics. His research interests span genomics, population genetics, method development, theoretical population biology, and data visualization. Currently, he contributes to the Amboseli Baboon Research Project, integrating 50 years of observational data with baboon genomic data to address evolutionary questions. His work bridges computational methods and evolutionary theory, emphasizing topics like phylogenetic reconstruction, incomplete lineage sorting, and genomic analysis tools. Notable contributions include the development of the TRAILS algorithm and PhaseTypeR software. While no scientific awards are listed, his research underscores interdisciplinary approaches to understanding primate evolution and genomic diversity. Iker collaborates within the Genes and Behavior group, focusing on primate behavior and evolutionary anthropology. His projects often involve large-scale genomic datasets and computational modeling to explore evolutionary mechanisms. For further details, visit his website: https://rivasiker.github.io .
Prof. Sibylle Grad holds the position of Privatdozent at the Department of Health Sciences and Technology, ETH Zurich, and is affiliated with the AO Forschungsinstitut Davos. Her research interests span tissue engineering, biomedical engineering, and regenerative medicine, with a focus on translating scientific advancements into clinical applications. She is based in Davos, Switzerland, and can be reached at sibylle.grad@hest.ethz.ch. While her current academic role emphasizes health sciences, her earlier work included a 1993 publication on multi-phase flow modeling in wellbores, indicating interdisciplinary expertise across energy systems and mechanical engineering. Her professional activities are centered at the intersection of medical technology and engineering innovation.
Seyed Hossein Hosseini is a researcher affiliated with the University of Tabriz, Iran. His work focuses on power electronics, particularly in the design and optimization of DC-DC converters, multilevel inverters, and renewable energy systems. Key contributions include high step-up converter topologies, modular converter structures, and coupled inductor applications. He has collaborated extensively with researchers like Mehran Sabahi, Ebrahim Babaei, and Gevork Babamalek-Gharehpetian. His research appears in reputable journals such as IEEE Transactions on Industrial Electronics and International Journal of Circuit Theory and Applications.
Marc van den Berg is an Assistant Professor of Integrated Project Delivery at the University of Twente, The Netherlands. His research advances circular construction and sustainable built-environment transitions through digital technologies, ethnographic methods, and multi-actor innovation processes. He leads projects on Building Information Modelling (BIM) for circularity, deconstruction and reuse logistics, and strategic niche management in construction. Education Dr.ir. (PhD equivalent) – University of Twente Research Interests Dr. van den Berg’s work sits at the intersection of digital construction technologies and circular-economy transitions . He investigates: BIM-enabled circularity assessment across design, construction and demolition phases Ethnographic studies of on-site deconstruction practices and reuse realisation Agent-based modelling of material-supply matchmaking and circularity hubs Multi-actor decision-making tools for sustainable project delivery His methodological repertoire combines design-science research, interpretative phenomenology, semi-structured interviews, and serious gaming to co-create actionable knowledge with industry and governmental partners. Scientific Awards Emerald & EFMD Outstanding Doctoral Research Award (2020) CIOB Award for collaborative research on sustainability (2024) Emerald Best Paper on Sustainability (2022) RICS Best Paper on Sustainability (2019) Wiley-Blackwell Award for environmental-impact research (2024) Doctoral Supervision & Grants He has supervised at least one PhD candidate (L. Jiang) whose dissertation focused on circularity assessment with BIM. He participates in multiple Dutch and EU-funded consortia exploring circular construction ecosystems, digital twins for deconstruction, and field-lab experimentation. Labs & Teams Dr. van den Berg is a core member of the Integrated Project Delivery research group at the University of Twente. He also co-leads the Fieldlabs@Scale initiative, producing open datasets and toolkits for circular construction innovation.
Moongyu Park is a Visiting Assistant Professor of Mathematics at Purdue University's Department of Mathematics, part of the College of Science. His research focuses on stochastic processes, fractional differential equations, mathematical biology, and numerical computation. Specific interests include anomalous diffusion, renormalization groups, and applications in porous media modeling. His work spans theoretical developments in fractional calculus and numerical methods, such as finite element approaches for two-sided fractional equations and neural network methods for integral fractional Laplace equations. He also explores interdisciplinary topics like network worm attack propagation models and material science applications in carbon-nanotube electrodes. Key areas of contribution include upscaling techniques for heterogeneous media, stability analysis of numerical methods, and stochastic modeling of complex systems. His research bridges pure mathematics with practical applications in fluid dynamics, cybersecurity, and materials engineering.
