Paul Millett is an Associate Professor and Associate Department Head of Curriculum in the Mechanical Engineering Department at the University of Arkansas. His academic journey began with a B.E. in Civil Engineering from Vanderbilt University, followed by M.S. and Ph.D. degrees in Civil Engineering from the University of Arkansas. Research Interests: Computational materials science, computational fluid dynamics, numerical methods, parallel computing, and materials design for energy and biomedical applications. Teaching Interests: Computer methods, materials science, numerical methods, and computational materials science. Dr. Millett's research focuses on flow behavior of complex fluids in confinement, nanoparticle self-assembly in multi-phase liquids, and computational modeling of soft matter systems. His work has been funded by prestigious organizations including the National Science Foundation, the US Department of Energy, 3M, and specialized centers like the Center for Advanced Surface Engineering. Scientific Awards: 21st Century Endowed Professorship (2022) Most Outstanding Teacher (2017, 2019) Dean’s Rising Star Research Award (2018) Excellence in External Research Award (2016) Top 15 University of Arkansas Researcher by Funding (2015) Most Outstanding Researcher (2015) Idaho National Laboratory Director’s Award (2011)
Martin David is an Associate Professor at the University of Perpignan Via Domitia in the LAMPS - Multidisciplinary Modeling and Simulation Laboratory . He holds a PhD in Thermal Engineering from the same university (2021), focusing on gas-pressurized solar receiver flows . As a Postdoctoral Researcher at Inria Bordeaux (2022-2024), he developed self-adaptive hybrid RANS/LES strategies based on physical criteria. Research interests include Computational Fluid Dynamics , Turbulence Modeling , Heat Transfer , Conjugate Heat Transfer , Uncertainty Quantification , and Multi-fidelity Approaches . His work bridges academic innovation and industrial applications , particularly in renewable energy systems and certified CFD development. His 15 most recent publications (2020-2024) demonstrate expertise in hybrid nanofluids , LES/DNS of solar receivers , self-adaptive algorithms , and machine learning integration for turbulence modeling. Key themes include thermal dissipation discontinuities , user-independent CFD , and multi-phase flow modeling . Scientific awards include: 26 million computational hours on DARI/PRACE projects Selection in GENCI annual report (2022) He supervises PhD students in topics ranging from high-performance computing to artificial intelligence in turbulence modeling . His teaching portfolio covers 560+ hours across CFD , Thermodynamics , Fluid Mechanics , and Renewable Energies at L1-M2 levels.
Emmanuel A Stamatakis, PhD, is Group Leader in the Division of Anaesthesia, Department of Clinical Neurosciences, University of Cambridge, and a Fellow of Queens’ College. His work sits at the intersection of cognitive neuroscience, computational biology and clinical neuroimaging, with a central mission to understand and predict states of consciousness and their disruption after brain injury. Education & Training: While explicit degree details are not provided, Dr Stamatakis’s extensive publication record in high-impact journals and his role as Group Leader at Cambridge indicate advanced doctoral and post-doctoral training in cognitive neuroscience and neuroimaging. Research Interests: Neural correlates of consciousness and unconsciousness across pharmacological (anaesthetics, psychedelics) and pathological (TBI, DoC) states. Multimodal neuroimaging: ultra-high-field 7 T MRI, PET, EEG, fMRI. Computational approaches: network science, machine-learning classifiers, integrated information decomposition, fractal and harmonic analysis. Clinical translation: predicting long-term cognitive and affective outcomes after traumatic brain injury, neurorehabilitation strategies, biomarker discovery. Neuromodulation: role of the Ascending Reticular Activating System and monoaminergic pathways in shaping macro-scale brain networks. Research Trends from Recent Articles (2022-2024): A pronounced shift toward integrative, multi-centre clinical studies is evident. Recent work leverages large trans-European cohorts (CENTER-TBI) to link acute thalamic connectivity with chronic post-concussive symptoms, validates prognostic models for TBI recovery, and explores pharmacological enhancement of executive function using methylphenidate. Concurrently, theoretical papers introduce information-theoretic frameworks to quantify consciousness, while empirical studies combine receptor-informed network control theory with psychedelic neuroimaging to reveal global-to-local shifts in functional organisation during altered states. Scientific Awards & Recognition: While specific named awards are not listed, continuous publication in NEJM , Nature Communications , eLife , Trends in Neurosciences , and Brain attests to sustained international recognition. Grants, Students & Mentorship: Dr Stamatakis is actively seeking prospective PhD students and post-docs. Collaborative grants include CENTER-TBI, the Cambridge NeuroCOVID programme, and the BioCog consortium, supporting multi-disciplinary teams spanning anaesthesia, neurology, psychiatry and computational biology. Mentorship emphasis is placed on open science, reproducible neuroimaging pipelines, and widening participation in neuroscience. Laboratory & Teams: He leads the Consciousness & Cognition Group within the Division of Anaesthesia, hosting cross-species projects that integrate rodent molecular imaging with human ultra-high-field MRI. Core facilities include 7 T MRI, PET-MR hybrid systems and high-density EEG suites, fostering collaborations across Cambridge Neuroscience, the MRC Cognition and Brain Sciences Unit, and global partners.
Stig Frode Samnøy is an Assistant Professor at the Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences (HVL). His expertise spans geomatics, structural engineering, and biomedical imaging applications. Research Interests: 4D cardiac MRI analysis, multi-sensor landslide monitoring, structural dynamics, and 3D cultural heritage documentation. Teaching: Courses in Engineering Surveying, Geographic Information Science, Offshore Survey Operations, and Land Administration. His work integrates advanced numerical tools for analyzing complex systems, including offshore structures and cardiac mechanics via magnetic resonance imaging. Publications focus on MRI-based cardiac function visualization and geotechnical monitoring techniques. No scientific awards are explicitly mentioned in the provided text.
Roland Masson is a Professor of Applied Mathematics at the J.A. Dieudonné Department of Mathematics, University Côte d'Azur. He is also a member of the Coffee EPC (Inria centre Université Côte d'Azur) and collaborates with institutions like Inria, IFPEN, BRGM, and Andra. His research focuses on multi-physics simulations , including thermo-hydro-mechanical models and multiphase Darcy flows in heterogeneous and fractured porous media, with applications to geothermal systems, geological storage, and mineral resources. His work involves developing numerical methods for discretizing PDEs on polyhedral meshes , iterative coupling algorithms , and domain decomposition methods . He leads projects like Mathématiques Souterraines (MathSout) and ANR PRCE Earth-Beat , which explore transient couplings in hydrothermal systems. Masson has contributed to software development, notably the ComPASS open-source simulator. His publications span topics such as VEM-Nitsche schemes , hybrid-dimensional models , and finite volume methods for complex geological systems. He teaches courses on finite volume methods for PDEs , dynamic systems , and finite elements at University Côte d'Azur.
Amine Ammar is a full Professor at Arts et Métiers University , where he serves as Deputy Director of the LAMPA laboratory and Scientific Director of the Doctorate at ENSAM. His academic career spans multiple institutions including Joseph Fourier University of Grenoble and ENS de Cachan. PhD in Mechanical Engineering (ENS de Cachan, 2001) Authorization to Direct Research (University Joseph Fourier, 2006) DEA in Solids & Structures (Paris VI, 1998) Engineering Degree (ENSAM Lille/Paris, 1998) A leading expert in multiscale computational modeling , his research focuses on rheological flows , dimensional reduction techniques , and digital twin technologies for polymer processing and composite materials. He pioneered the application of Proper Generalized Decomposition (PGD) in viscoelastic flow simulations and microstructure modeling. His scientific contributions have been recognized with the ESAFORM 2009 Scientific Award and Jean Mandel Prize . With an H-index of 28 (Scopus), he has supervised key research projects on polymer crystallization and fiber suspension dynamics. Co-author of Springer monograph on Stream-Tube Method (2021) Editor of Publibook on PGD for Materials Modeling (2012) As National Facilitator for Disciplinary Teaching at ENSAM, he has developed innovative courses on computational mechanics and rheology, mentoring students like S. Montésino and E. Prulière in their thesis work on polymer microstructuring.
Prof. Jerzy Banaszek is a distinguished academic at Warsaw University of Technology, serving as Deputy Director of the Institute of Heat Engineering (1996-2005), Dean of the Faculty of Power & Aeronautical Engineering (2008-2016), and current Senate member (since 2008). He leads the Senate Committee for Education and contributes to space technology as Rector’s Proxy. Key research areas: Multi-scale modeling, phase change materials, energy systems Teaching: Advanced Thermodynamics, Energy Transport, Numerical Methods His 15 most recent publications focus on phase change modeling, finite element methods, and thermal energy systems. Notable projects include collaborations with European Space Agency and Irish Research Committees. Scientific Awards : Golden Cross of Merit (2004) Knight's Cross of Order of Rebirth (2017) Multiple Rector's Awards (1985-2019) Polish Academy of Sciences recognition
Hachimi Fellouah is a Full Professor in the Department of Mechanical Engineering at the Faculty of Engineering, Université de Sherbrooke, Canada. He has been with the university since 2010, progressing from Assistant Professor (2010-2015), to Associate Professor (2015-2021), and currently Full Professor (2021-present). His academic career also includes postdoctoral work at Queen's University and the Royal Military College of Canada (2007-2010), and research positions at Lakehead University (2005-2006). He holds professional engineer certifications in both Algeria and Québec. Doctorate, Université de Nantes (2005) Master's with thesis, Université de Nantes (2001) Baccalauréat (1999) Professor Fellouah's research centers on fluid mechanics with applications in aerodynamics, indoor air quality, and energy efficiency. His work spans experimental, analytical, and numerical approaches to fluid dynamics problems. Key research areas include turbulence modeling, heat and mass transfer, active/passive flow control, coherent structures, clean energy technologies, and experimental fluid dynamics. His research has significant applications in wind and solar energy, transportation aerodynamics, and building ventilation systems. His recent publications demonstrate a strong interdisciplinary approach, bridging fluid dynamics with practical applications in transportation, renewable energy, and building design. The research shows consistent focus on computational and experimental methods to solve real-world engineering problems, particularly in aerodynamics, energy systems, and indoor environmental quality. His work often involves collaboration with industry partners and government funding agencies. Professor Fellouah has secured substantial research funding from multiple sources including NSERC (Natural Sciences and Engineering Research Council of Canada), MITACS, and the Ministère de l'Économie et de l'Innovation du Québec. His grants portfolio includes Discovery Grants, Collaborative Research and Development Grants, and industry contracts totaling over $1.2 million in active funding, with previous projects exceeding $2 million. As an academic leader, he has served as Coordinator for the 2nd year program in Mechanical Engineering, Director of Case Studies with Aerospace Industries, Co-president of the Master in Aerospace Engineering program, and President of the 27th Canadian Congress of Applied Mechanics (CANCAM 2019). He has also organized international conferences including the Student Aerospace Forum and coordinated sessions for the International Symposium Franco-Québécois.
Ondřej Souček is an Associate Professor at the Mathematical Institute, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic. He has been with the university since 2011, progressing from Junior Researcher to Assistant Professor (2012-2024) and currently serving as Associate Professor since 2024. His academic journey spans mathematical modeling with applications in planetary geophysics and continuum mechanics. Ph.D. (2010): Charles University, Faculty of Mathematics and Physics, Department of Geophysics, thesis: "Numerical modelling of ice sheet dynamics" Mgr. degree (2005): Charles University, Faculty of Mathematics and Physics, Department of Geophysics, thesis: "Thermomechanical polythermal ice-sheet model" Dr. Souček's research spans three primary areas: Mathematical modelling in planetary geophysics , focusing on tidal deformation and dissipation in icy moons like Europa and Enceladus; Thermodynamics and mechanics of continua , particularly constitutive theory for complex materials and thermomechanics on surfaces; and Theory of multi-component materials , including heterogeneous catalysis and porous media flow. His work bridges rigorous mathematical frameworks with real planetary systems, demonstrating exceptional interdisciplinary expertise. His recent publications (2021-2025) reveal a strong concentration on icy moon geophysics, particularly Enceladus' ice shell dynamics and plume activity. The research combines mathematical modeling with planetary science to understand complex processes like tidal deformation, water transport in ice shells, and stress distribution in planetary surfaces. His collaborative approach is evident in numerous multi-author papers with international teams. While specific awards aren't listed in the provided information, Souček has secured multiple competitive research grants as Principal Investigator for Czech Science Foundation projects, demonstrating recognition of his research excellence. Souček has supervised numerous students and collaborators, as evidenced by his extensive publication record. He has led significant research projects including GACR 22-20388S (2022-2024) on "Evolving Ice Shells" and GACR 15-14263Y (2015-2017) on meltwater generation in Europa's ice shell. His grant portfolio demonstrates sustained funding for innovative research at the intersection of mathematics and planetary science. As part of the Mathematical Institute at Charles University, Souček contributes to the University Centre for Mathematical Modelling, Applied Analysis and Computational Mathematics (UNCE). He maintains active international collaborations, particularly with researchers at Université de Nantes in France and planetary science teams across Europe working on icy moon research. His research stays abroad, including extended periods in France and Ireland, have strengthened these international partnerships.
Prof. Dr.-Ing. Robert Hoyer serves as Head of Department and Professor of Traffic Engineering and Transport Logistics at the University of Kassel's Faculty of Civil and Environmental Engineering. Since 2009, he has led the Institute for Transportation at the university. Previously, he worked from 1992 to 2006 at the Institute for Automation and Communication (ifak) in Magdeburg, where he progressed from Scientific Staff Member to Group Leader and eventually Head of the Traffic Telematics Department. His educational background includes: 1984-1989: Studied Technical Cybernetics and Automation Engineering at TU Magdeburg 1989-1991: Doctoral studies at the Chair of Automation Systems at TU Magdeburg 1994: Earned Doctor of Engineering degree Prof. Hoyer's research focuses on traffic telematics, vehicle-infrastructure communication, traffic data acquisition and processing, and traffic flow simulation. His work particularly emphasizes cooperative systems between vehicles and infrastructure, especially at traffic signals, and the application of machine learning for traffic prediction and optimization. He has pioneered research in Floating Car Observer technology for traffic data collection and has made significant contributions to public transport prioritization systems. His recent publications (2020-2025) demonstrate a clear trend toward increasingly sophisticated applications of machine learning and AI in traffic management, with particular emphasis on signal control optimization, public transport prioritization, and safety applications. The research shows progression from basic traffic signal control to integrated systems incorporating vehicle-to-infrastructure communication, real-time data processing, and predictive analytics for urban mobility solutions. Prof. Hoyer holds significant advisory roles: Since 2010: Scientific advisor for the 'Staufreies Hessen' initiative Since 2013: Commissioner for Traffic Technology and Traffic Management for the State of Hesse He is actively involved in the Research Society for Road and Traffic Engineering (FGSV), where he has chaired multiple working groups since 1996, including the Working Group on Automated Driving since 2015. His work bridges academic research with practical implementation in traffic management systems across Germany, particularly in Hesse.
Doç. Dr. Emrah Sarıca is an Associate Professor in the Department of Electrical and Electronics Engineering at Başkent University. His research focuses on advanced materials science and thin film technology for optoelectronic and photovoltaic applications. Specializes in ultrasonic spray pyrolysis for thin film deposition Key research areas: doping effects, transparent conductive oxides (TCOs), semiconductor heterostructures Active in photovoltaic materials optimization (e.g., ZnO, SnO2, CdS, CZTS) Recent work analyzes aluminum doping in ZnO films (2025), nano-titanium coatings for biomedical applications (2025), and multi-element doping strategies. His publications (17+ articles) demonstrate expertise in physical property modulation via annealing and compositional tuning. Collaborations span mechanical, optical, and electrical characterization studies. Projects include entrepreneurial ventures like electrostatic-ultrasonic coating systems (2018) and industrial R&D for nanomaterial technologies through IDASONIC NANOKAPLAMA. Supervised theses on CZTS layers (2022) and ZnO-Cu2O films (2024).
Professor Abdallah Berrouk is a faculty member in the Department of Mechanical & Nuclear Engineering at Khalifa University. With 16 years of university lecturing experience, he has developed PhD courses in Machine Learning for Fluid & Heat Flow and Turbulence Theory & Modelling, while supervising 7 PhD students and 13 Masters students. He has secured over $6M in research funding and leads the Gas Processing Technology theme at the KU Research Centre on Catalysis and Separation. PhD, Mechanical Engineering, University of Manchester MSc, Oil & Gas Enterprise Management, University of Aberdeen His research focuses on Computational Mechanics , Machine Learning , and Thermal Analysis , with particular emphasis on Nanofluid Mechanics , CO2 Capture , and Power Cycles Modelling . Recent publications analyze supercritical CO2 cycles, chemically reactive nanofluids, and rotating packed bed technologies for CO2 capture. Scientific awards include the ASTFE Nuclear Thermal Hydraulics CFD Award (2024) and multiple ADNOC R&D honors (2013-2014). He chairs the university's Undergraduate Studies committee and serves on editorial boards of the American Journal of Fluid Dynamics and Pollutants Journal.
Daniel Matthes is a Professor of Dynamical Systems at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology and the Department of Mathematics. His research focuses on the qualitative theory of partial differential equation solutions, with particular expertise in gradient flow systems and kinetic equations. Matthes received his education at TU Berlin, where he completed his Diplom in Mathematics in 1999 and his PhD in 2003 with a thesis on Discrete Surfaces and Coordinate Systems: Approximation Theorems and Computation . He conducted postdoctoral research at the University of Mainz, the University of Pavia in Italy, and TU Vienna, before completing his Habilitation at TU Wien in 2010 with work on On the equilibration in certain kinetic and diffusion equations . Professor Matthes' research interests span the mathematical analysis of partial differential equations, particularly focusing on gradient flow structures, kinetic models, and their applications. His work bridges theoretical mathematics with practical applications in areas such as mathematical physics and economic modeling. He has made significant contributions to understanding the qualitative behavior of solutions to nonlinear PDEs, with particular emphasis on convergence properties, equilibrium states, and numerical approximation methods. His methodology often combines rigorous analytical techniques with computational approaches to extract meaningful insights from complex mathematical structures. His extensive publication record demonstrates a consistent focus on gradient flow systems, with recent work exploring discretization methods, convergence analysis, and applications to physical and economic models. Matthes has developed innovative numerical schemes for solving complex PDEs while maintaining important structural properties of the continuous equations, contributing significantly to both theoretical understanding and practical computational methods in the field. As part of the Dynamical Systems group at TUM, Professor Matthes contributes to the department's research in mathematical analysis and its applications. His work intersects with several research areas within the Department of Mathematics, including numerical analysis, mathematical physics, and applied analysis. The group maintains active collaborations with researchers across Europe and participates in various interdisciplinary projects that apply advanced mathematical techniques to real-world problems.
Dr.-Ing. Steffen Schmidt is a Researcher at the Department of Aerodynamics and Fluid Mechanics , Technische Universität München since 2005. He holds a Diplom in Technomathematik (2005) and a Ph.D. (2015) from TUM, specializing in cavitating flows and gas dynamics. Education: Diplom Technomathematik, TUM, MI (2005) Promotion mit summa cum laude, TUM, Lehrstuhl für Aerodynamik u. Strömungsmechanik (2015) His research focuses on cavitating flows , cavitation erosion , gas dynamic flows , nonlinear wave dynamics , and high-performance computing . Recent work explores shock-wave interactions, multi-component fluid simulations, and quantum algorithms for fluid dynamics. Key scientific awards include the Gordon Bell Prize 2013 . His publications (15+ since 2021) emphasize machine learning integration, LES turbulence modeling, and phase change dynamics in compressible flows. He teaches Fluid Mechanics I/II and Gas Dynamics , receiving multiple Goldene Lehre awards. Active in projects like FURADO and SFB , he leads the Gas Dynamics group within the Chair of Aerodynamics.
Julie Hlavacek-Larrondo is an Associate Professor at the Department of Physics, Université de Montréal, and holds the Canada Research Chair in Observational Black Hole Astrophysics (2014-2025). As a leading figure in astrophysics, she investigates supermassive black holes' role in galaxy evolution, combining X-ray , radio , and machine learning techniques to study their feedback mechanisms in galaxy clusters. PhD in Astrophysics from University of Cambridge (2012) Co-founded Parité Sciences to promote gender diversity in physics Research Interests: Her work focuses on: Supermassive black holes' impact on host galaxies Multiwavelength observations (X-ray, radio, optical) Machine learning applications in astrophysics Cosmic reionization and early universe structures AGN feedback dynamics in galaxy clusters Scientific Leadership: She has secured observing time on flagship telescopes like Chandra , Hubble , and Very Large Array . Her recent 2025 publications highlight: Extreme black hole outflows in quasars Multi-phase gas analysis in high-redshift clusters Machine learning-driven cluster characterization Awards: 2024 FRQNT Rising Star Award 2024 Herzberg Medal (Canadian Association of Physicists) 2018 Royal Society College Membership 2017 Acfas Discovery Audience Award She has directed 10+ PhD/MSc theses , including projects on: Black hole mass measurement via gravitational lensing Radio observations of galaxy clusters High-resolution optical filament analysis Machine learning for cool core clusters
