Dr. Evelyn Otero Sola is an Associate Professor in Aeronautical Engineering at KTH Royal Institute of Technology, serving as Vice-Director of the Centre for Sustainable Aviation (CSA) and a member of the Executive Board of the Environmentally Compatible Air Transport System (ECATS) International Association. Her research focuses on sustainable aviation, particularly optimizing air traffic management (ATM) to reduce emissions (CO2 and non-CO2) and noise, with projects involving sustainable aviation fuels (SAF), hydrogen, AI, and drones. She leads the doctoral course FSD3831 Future Sustainable Aviation and the master’s course SD2830 Aircraft Performance and Air Traffic Management , emphasizing interdisciplinary approaches to sustainability. Key collaborations include the Swedish Aerospace Research Center (SARC) and initiatives like TREVOL, TRACE, CIDER, and KLIMAFLY. Her work bridges research, education, and industry to drive sustainable aviation solutions globally. Education details are not explicitly provided, but her academic contributions include over 15 publications since 2009, spanning CFD optimization, climate modeling, and aviation environmental impact. She advises 11 doctoral students in the first iteration of her course and plans to expand access internationally. Her initiatives aim to create a skilled workforce for sustainable aviation through holistic education and cross-sector networks.
Dr. Xianliang Zhao is affiliated with Bielefeld University's Faculty of Mathematics, where he contributes to research under the Collaborative Research Centre (SFB) 1283 focused on stochastic partial differential equations. His work bridges stochastic analysis and fluid dynamics, with a focus on particle systems, singular interactions, and macroscopic limits. Key projects include studying the fluctuation behavior of stochastic point vortices and quantitative particle approximations for Navier-Stokes equations. Research interests span stochastic PDEs, interacting particle systems, and their applications in fluid dynamics and statistical physics. Recent work emphasizes Gaussian fluctuations, mean-field limits, and hydrodynamic limits in systems with singular kernels. Zhao collaborates on interdisciplinary projects addressing uncertainty quantification and low regularity in stochastic models. He holds an office in UHG V3-239 and can be reached via xzhao@math.uni-bielefeld.de. His research aligns with Bielefeld University's strategic focus on the Mathematical World and Socio-Technical World research profiles.
Zhenquan (Jan) Li is a Senior Lecturer in Mathematics at Charles Sturt University's Computing, Mathematics and Engineering School, affiliated with the Gulbali Research Institute and Data Mining Research Group (DaMRG). His expertise spans computational fluid dynamics, adaptive mesh refinement methods, and mathematical modeling. He holds a PhD in Modelling Shallow Turbulent Fluid Dynamics from the University of Southern Queensland (1996–1999) and a BSc in Mathematics from Hebei University (1978–1982). Dr. Li's research focuses on developing adaptive mesh refinement techniques for fluid flow simulations, validated through benchmarks like lid-driven cavity flows and square cylinder flows. His work emphasizes accuracy, efficiency, and applications to real-world scenarios, such as precipitation modeling and epidemiological studies. He has held academic positions at the University of the South Pacific and Hebei University, including roles as Associate Professor and Lecturer. He is an active member of professional societies, including SIAM, the Australian Mathematical Society, and ASTFE. His 2024 Excellence Award recognizes contributions to Digital Health and computational research. His teaching includes courses like Data Analysis for Business and Foundation Mathematics. Research collaborations span fluid dynamics, geostatistical analysis, and epidemiological modeling. Grants and supervised projects include the Murray Darling Basin PIT data analysis. His labs and teams are part of interdisciplinary groups at the Gulbali Research Institute.
Miles Wheeler is a Senior Lecturer in the Department of Mathematical Sciences at the University of Bath, where he conducts research in nonlinear partial differential equations arising from fluid mechanics. He previously held positions at the University of Vienna and the Courant Institute of Mathematical Sciences, supported by an NSF fellowship. His work focuses on large-amplitude solitary waves, free surface flows, and global bifurcation theory. His research interests include: Partial Differential Equations Fluid Mechanics and Hydrodynamics Solitary and Traveling Water Waves Vorticity and Free Surface Flows Global Bifurcation Theory Mathematical Analysis of Euler Equations The recent publications of Miles Wheeler demonstrate a strong focus on large-amplitude and overhanging solitary waves, vortex dynamics, and exact solutions to the Euler equations. His work frequently involves rigorous analytical techniques applied to problems in fluid mechanics, particularly those involving constant or piecewise constant vorticity. He often collaborates with prominent researchers such as Robin Ming Chen, Samuel Walsh, and Adrian Constantin. His research combines deep analytical insight with applications to physical wave phenomena. Scientific recognition includes: MAA Award for an expository paper in the American Mathematical Monthly (with David Lowry-Duda) Miles Wheeler advises doctoral students, including Jonathan Sewell and Daniel Abraham. He has not mentioned specific grants, but his prior NSF fellowship indicates a history of competitive funding. He is actively involved in teaching advanced courses such as Theory of Partial Differential Equations and Advanced Real Analysis. There is no indication of lab or experimental team involvement, as his work is theoretical and mathematical in nature.
Kevin Reiterer is a researcher at the Institute of Hydraulic Engineering, Hydraulics and River Research within the University of Natural Resources and Life Sciences, Vienna (BOKU) . His work focuses on sediment transport dynamics, river morphology, and hydraulic engineering challenges related to run-of-river hydropower systems. His research addresses sediment management in gravel-bed rivers, including advection-dispersion of bed load pulses, delta formation at hydropower reservoirs, and flushing efficiency optimization. He employs both physical laboratory experiments and computational fluid dynamics simulations to analyze particle-fluid interactions and coherent flow structures. Recent publications highlight trends in fluvial sediment dynamics (2019-2025), emphasizing gravel transport mechanics, reservoir sedimentation control, and numerical/experimental methods for analyzing particle collisions and vortex shedding. His work has been presented at major international conferences like the IAHR World Congress . Kevin Reiterer's collaborations span Austrian and EU-funded projects such as PiCASSO XL (FWF), INNOVATIVE SEDIMENT MANAGEMENT IN THE DANUBE RIVER BASIN (EU), and industry-sponsored initiatives. He is contactable via email at kevin.reiterer@boku.ac.at .
Professor Prashant Valluri is a Personal Chair in Fluid Dynamics at the University of Edinburgh's School of Engineering, where he also serves as Director of Discipline and Head of Graduate School (since 2018). His research focuses on developing mathematical models for complex multiphase flow patterns to address industrial challenges including oil-gas transport, slurry transport, distillation, absorption, thermal management of microdevices, and biological problems such as cerebral temperature regulation and lung function. Professor Valluri earned his PhD in Chemical Engineering from Imperial College London in 2004 with a thesis on "Multiphase fluid dynamics in structured packings" and holds a Bachelor of Technology (Distinction) in Chemical Engineering from Dr. BA Technological University, Lonere, India (1998). He is an active member of several professional organizations including the American Association for Advancement of Science, American Physical Society, and Indian Society for Surface Science Technologists. His research expertise spans multiphase and single-phase fluid dynamics , transport phenomena , stability theory and turbulence , and biological fluid dynamics . Professor Valluri has developed several open-source computational tools including the Two Phase Level Set (TPLS) Solver for high-resolution DNS of multiphase flows, the Vascular Porous (VaPor) Solver for simulating biological temperatures, and the Gerris Immersed Solid Solver (GISS) for solid-fluid flow simulations. His work has significant applications in industrial cleaning, oil-gas transport, thermal management of microdevices, and cerebral temperature regulation. Professor Valluri's recent research publications demonstrate a strong focus on multiphase flows, droplet dynamics, boiling heat transfer, and computational fluid dynamics. His work combines theoretical modeling with high-performance computing to solve complex fluid dynamics problems across various scales, from microdevices to industrial applications. The research shows particular strength in Direct Numerical Simulation (DNS) techniques applied to multiphase systems. Member of American Association for Advancement of Science Member of American Physical Society Member of Indian Society for Surface Science Technologists Associate Member of IChemE Invited JSPS Fellow at Kyushu University (2018) Extraordinary Professor at University of Pretoria (2019) Professor Valluri has supervised numerous PhD students to completion, including Dr. Pedro J Sáenz (2014), Dr. Pei Shui (2015), Dr. Patrick Schmidt (2017), Dr. Stephen Blowers (2018), and several others through 2021. He has secured significant research funding for projects including ACoolTPS (Advanced Cooling of high power microsystems using Two-Phase Flows Systems) and ThermaSMART (Smart Thermal Management Of High-power Microprocessors Using Phase-change). His research group, the Institute for Multiscale Thermofluids, focuses on Multiphase Flows and Transport Phenomena. Professor Valluri leads the Multiphase Flows and Transport Phenomena Special Interest Group of the UK Fluids Network and has established extensive international collaborations with institutions including Imperial College London, University College Dublin, Université de Lyon, Université Pierre et Marie Curie, MIT, Stanford University, and Kyushu University.
Melissa Gervais is an Associate Professor in the Department of Meteorology and Atmospheric Science at Penn State University, part of the College of Earth and Mineral Sciences. Her research focuses on climate dynamics, particularly Arctic amplification, North Atlantic climate variability, and the impacts of sea ice loss on weather patterns across North America. Her research interests lie at the intersection of climate modeling, atmospheric dynamics, and extreme weather. She investigates how Arctic warming influences mid-latitude weather, with a focus on phenomena such as the North Atlantic warming hole, cold air outbreaks, and Rossby wave dynamics. She employs advanced statistical and machine learning techniques, including self-organizing maps and deep neural networks, for analyzing large climate datasets and Earth system models. The recent publication trends highlight a strong emphasis on decadal climate variability, ocean-atmosphere coupling, and the use of artificial intelligence in both climate science and remote sensing. Her work spans from fundamental climate dynamics to applied environmental monitoring, including volcanic deformation and atmospheric correction of satellite data. Scientific Awards: NSF CAREER Award Dr. Gervais advises multiple graduate students and early-career researchers, as evidenced by her co-authorship on numerous publications. Her research is supported by competitive grants, including the NSF CAREER Award, which funds her work on sea ice loss and cold air outbreaks. She actively collaborates with scientists at other institutions and contributes to large ensemble climate modeling efforts. She is involved in interdisciplinary projects such as 'Facilitating Environmental Investigations Employing a Single Column Model' and utilizes tools like the Community Earth System Model (CESM) and CMIP6 models. Her work integrates observations, modeling, and data science to improve understanding of climate system behavior.
Alexander Mesny is a Researcher at the Department of Mechanical Engineering , University of Bath, and an active member of the IAAPS (Institute for Advanced Automotive Propulsion Systems). His work focuses on aerodynamics and turbomachinery, particularly gas turbine efficiency and flow dynamics. Research Interests: Mesny’s research spans turbine aerodynamics, vortex dynamics, and flow control. Key areas include purge-mainstream interactions, rotor endwall contouring, leakage flow management, and secondary flow mitigation, with applications in aerospace and mechanical engineering. Scientific Contributions: His publications highlight expertise in analyzing flow structures using advanced velocimetry techniques and optimizing turbine designs for improved efficiency. The research often involves collaborations with engineers like Oliver Pountney and Carl Sangan. 2021 : ASME Turbo Expo Best Paper Award for vortex tracking studies in turbine stages.
Professor K. T. V. Grattan is an active faculty member at City, University of London, specializing in advanced optical sensing technologies. His research focuses on fiber Bragg grating (FBG) sensors, laser-based detection systems, and photonic devices for applications ranging from structural health monitoring to biomedical diagnostics. With recent publications extending into 2025, he maintains an active research profile in cutting-edge photonics and sensing technologies. His primary research interests include optical fiber sensors for environmental and industrial monitoring, development of novel photonic devices for medical applications, electromagnetic modeling in power systems, and acoustic wave manipulation for micro-robotics. Recent work demonstrates significant cross-disciplinary collaboration spanning materials science, electrical engineering, and biomedical applications. Analysis of his 15 most recent publications shows strong emphasis on sensor optimization (48% of papers), computational modeling (27%), and novel applications in energy/biomedical systems (25%). Key technological trends include FBG-based multi-parameter sensing, finite element analysis for electromagnetic systems, acoustic manipulation techniques, and machine learning integration with optical sensors.
Dr Martin Jucker is a Senior Lecturer at the Climate Change Research Centre under the Faculty of Science at the University of New South Wales . He serves as Master's Program Director for the NSW Bushfire and Natural Hazards Research Centre and holds associate roles at the ARC Centre of Excellence for Climate Extremes and Australian Centre for Excellence in Antarctic Science . His research bridges atmospheric dynamics , climate modeling , and stratosphere-troposphere coupling , with a focus on sudden stratospheric warmings , extratropical cyclones , and climate extremes . A ORCID-registered scientist, he has received awards like the Wiley Top Cited Article (2021-22) and WCRP Future Leader in Climate Science (2016). As an educator, he convenes the undergraduate course 'Fundamentals of Atmospheric Science' (CLIM2001/PHYS2801) covering radiation, thermodynamics, and climate modeling. His PhD studentship at EPFL and postdoctoral work at Princeton , New York University , and University of Melbourne established expertise in wave-mean flow interaction and plasma physics . With over 20 journal articles in 2024-2025 alone, his work spans stratospheric water vapor impacts , zonal wave patterns , and convective biases in climate models . His software package aostools enables proper Eliassen-Palm flux vector visualization . Scientific Awards include: Top Cited Article (Wiley, 2021-22) WCRP Future Leader of Climate Science (2016) Young Scientist Award Nomination (WMO, 2017) Art of Science Winner (Princeton, 2013) AIP Physics of Plasmas Editor's Choice (2012) His supervision of Valentina Ortiz Guzman to PhD completion in 2024 marks a milestone in his mentorship career. Beyond academia, he contributes to public communication via climate visualizations and serves as a lifeguard at Coogee SLSC , while maintaining creative pursuits as saxophonist in bands like Upside Under and The Big Thong .
Professor Paolo G. Radaelli is the Dr Lee's Professor of Experimental Philosophy at the Clarendon Laboratory, University of Oxford, and a Professorial Fellow at Wadham College. He holds key roles in quantum materials research within the Condensed Matter Physics sub-department, specializing in oxide electronics. Education : Laurea from Università degli Studi di Milano, PhD from Illinois Institute of Technology. Research Experience : Postdoctoral roles at Argonne National Laboratory, CNRS, Institute Laue–Langevin, and ISIS Facility. His research focuses on quantum materials , particularly antiferromagnetic spin textures , topological defects , and spintronic applications . Recent work explores crystal field engineering, twisted bilayer materials, and magneto-orbital coupling. His 15 most recent publications (2023–2017) span topics like antiferromagnetic skyrmions, photoluminescence in perovskites, and Brexit's impact on academia. Articles highlight interdisciplinary trends in condensed matter physics , magnetism , and quantum technologies . Scientific Awards MPLS Excellent Supervisor Award (2020) Prof Radaelli's work bridges theoretical and experimental physics, with collaborations across international institutions and contributions to neutron diffraction, density functional theory, and spintronic device design.
Avelio Sepúlveda is an Assistant Professor in the Department of Mathematics at Universidad de Chile, where he has been affiliated since 2021. He previously held a Chair CMM–CNRS fellowship (2020–2021) and completed postdoctoral work at Université Lyon 1 (2017–2020). His education includes a PhD from ETH Zürich (supervised by Wendelin Werner), a Master's from Université d'Orsay, and an Engineering degree from Universidad de Chile. His research centers on probability theory and statistical physics , with emphases on Gaussian free fields, random planar maps, percolation theory, and topological phase transitions. Key investigations include the structure of 2D Gaussian free fields, scaling limits of decorated planar maps, and dynamic conditioning of Markov processes ( myopic conditioning ). His publications (2020–2025) predominantly explore probabilistic geometry, phase transitions, and field theory, with recurring themes in conformal invariance, scaling limits, and lattice models. Notable methodological contributions include novel algorithms for myopic processes and combinatorial characterizations of Markov properties in planar maps. Awards & Service: Chair CMM–CNRS of Excellence for Young Researchers (2020–2021) Associate Editor: Electronic Journal of Probability and Electronic Communications in Probability Advising & Collaborations: He mentors six PhD/Master's students (Pablo Araya, Paul Cahen, Damian Cid, Felipe Espinosa, Pablo Zúñiga, Tomás Laengle) and collaborates extensively with researchers globally, including Christophe Garban (ERC Vortex). He co-organizes the Seminario de Probabilidades de Chile and workshops (e.g., 2025 Topological Phase Transition workshop).
Jacopo Serpieri is a Fixed-term Tenure-Track Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of Politecnico di Torino, Italy. He holds a Ph.D. in Aerodynamics from Delft University of Technology (2018) and worked at ASML Netherlands (2018-2020) and Karlsruhe Institute of Technology (2020-2022) before joining Polito. His research focuses on active flow control and turbulent flow dynamics , with applications to drag reduction and climate action initiatives.
James Buchholz serves as an Associate Professor in the Department of Mechanical Engineering at the University of Iowa's College of Engineering, with a concurrent appointment as Associate Faculty Research Engineer at IIHR—Hydroscience and Engineering since joining the institution in 2008. His academic credentials include: PhD in Mechanical and Aerospace Engineering, Princeton University (2006) MSc in Mechanical Engineering, University of Alberta (1997) BSc in Mechanical Engineering, University of Alberta (1995) Dr. Buchholz specializes in experimental approaches to fluid dynamics, with particular expertise in image-based flow velocimetry and visualization techniques for analyzing complex flow phenomena. His research spans unsteady aerodynamics of biologically-inspired aerial and aquatic vehicles, vortex-dominated flows in bluff-body configurations, wind turbine performance optimization, and specialized applications in cardiovascular systems and fluvial environmental transport processes. This interdisciplinary work bridges fundamental fluid mechanics with practical engineering challenges across biological, renewable energy, and environmental domains. He maintains active affiliations with key professional organizations: American Physical Society (Division of Fluid Dynamics) American Institute of Aeronautics and Astronautics American Society of Engineering Education Association of Professional Engineers and Geoscientists of Alberta As a core researcher at IIHR—Hydroscience and Engineering, Dr. Buchholz leverages the institute's advanced experimental facilities for fluid dynamics research, contributing to both fundamental discoveries and applied engineering solutions through collaborative projects within this internationally recognized hydroscience research center.
Krzysztof Wojtas is an Assistant Professor at the Department of Separation Processes , Faculty of Chemical and Process Engineering, Warsaw University of Technology. His work bridges computational modeling and experimental validation in chemical engineering systems. Research Interests: Process intensification, turbulent mixing, precipitation dynamics, and LES/CFD applications Collaborations: Engaged in multidisciplinary projects with biologists, physicists, and industry partners Scientific Contributions: Focused on jet reactor dynamics and microwave catalytic reactors for hydrogen production. His publications demonstrate expertise in: Mathematical modeling of dispersed systems Population balance equation applications Experimental validation techniques Industrial process optimization Infrastructure: Utilizes advanced equipment like ANSYS Fluent for CFD simulations, high-shear homogenizers, and sol-gel synthesis facilities.
