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Federico ToschiView profile

Professor

• Fluid Dynamics
• Statistical Physics
• Soft Condensed Matter
• +5 more

Federico Toschi is a Full Professor at Eindhoven University of Technology (TU/e), holding joint appointments in Applied Physics and Mathematics and Computer Science departments. His research focuses on multi-scale transport phenomena, combining statistical physics, fluid dynamics, and computational methods. He leads projects in the 4TU Centre for Multiscale Phenomena and EAISI. Education: PhD in Physics (University of Pisa, 1998) and academic background at Scuola Normale Superiore di Pisa. Interdisciplinary expertise in fluid dynamics turbulence, Lagrangian turbulence, crowd dynamics, and Lattice Boltzmann methods. Recipient of APS Fellow (2015), Euromech Fluid Mechanics Fellow (2012), and Ig Nobel Prize for Physics (2021). Research emphasizes turbulence modeling, pedestrian dynamics, and active matter, with applications in environmental flows and crowd management. His work bridges computational innovations with experimental validations. Recent articles explore kinetic data-driven turbulence modeling, pedestrian flow optimization, and turbulence effects in biological systems. Projects include digital twins for seismicity modeling and rarefied gas dynamics. Teaches fluid mechanics, computational physics, and chaos theory courses. Founded Flow Matters Holding BV, applying research to practical solutions.

Christopher MortonView profile

Associate Professor

• Fluid-Structure Interaction
• UAV Technology Development
• Energy Engineering
• +7 more

Dr. Christopher Morton is an Associate Professor in the Department of Mechanical Engineering at McMaster University, specializing in fluid-structure interaction, UAV technology, and energy systems. His research focuses on aerodynamics, flow control, and sustainable energy solutions, with applications in aerospace and environmental engineering. Education background includes a BASc in Mechatronics Engineering (University of Waterloo, 2008), MASc (2010), and Ph.D. (2014) in Mechanical Engineering from the same institution. His work bridges experimental and computational methods, particularly in flow estimation and control using advanced diagnostics like PIV and spectral analysis. His research interests span vortex-induced vibrations (VIV), unsteady aerodynamics, and energy harvesting through fluid-structure interactions. Recent publications highlight innovations in flow field reconstruction, sensor-based monitoring, and turbulence control. His work has been recognized through awards such as the Departmental Research Excellence Award (2021-2022) and multiple teaching accolades, reflecting his dedication to both research and education. Dr. Morton currently teaches MECH ENG 4FM3 (Advanced Instrumentation for Thermo-Fluids) and MECH ENG 723 (Flow Induced Vibrations), emphasizing hands-on experimental techniques and theoretical analysis. He actively supervises graduate students and collaborates with industry partners like Atlantis Research Labs and Plains Midstream Canada. Key Research Clusters: Advanced Materials & Manufacturing, Digital & Smart Systems, Energy, and Environment. Teaching Excellence: Awarded “Professor of the Year” multiple times and recognized for outstanding teaching performance.

Jack PuleoView profile

Professor

• Coastal Engineering
• Sediment Transport
• Hydrodynamics
• +5 more

Jack Puleo is a Professor and Chair in the Department of Civil and Environmental Engineering at the University of Delaware (UD), and a core faculty member of the Center for Applied Coastal Research (CACR). He holds a Ph.D. from the University of Florida, a Master’s from Oregon State University, and a Bachelor’s from Humboldt State University. His research focuses on coastal hydrodynamics, sediment transport, and nature-based solutions for coastal resilience. He has served as Associate Chair and Director of CACR, and was a Fulbright Scholar and Visiting Professor at Plymouth University (2011-2012). Research Interests: Small-scale hydrodynamic processes and sediment transport in coastal zones Remote sensing and sensor networks for coastal monitoring Nature-based solutions for coastal protection Munitions mobility in nearshore environments Climate change impacts on coastal flooding Awards and Honors: NSF CAREER Award (2007) ASCE Teaching Awards University of Delaware Teaching Awards (twice) Chi Epsilon Advising Award ASBPA Robert G. Dean Award German DAAD Scholarship Labs and Collaborations: Core member of the Center for Applied Coastal Research (CACR), collaborating on projects such as UXO mobility studies, coastal flooding modeling, and military infrastructure resilience. Active in interdisciplinary work with the Naval Research Laboratory and joint bases like Langley-Eustis.

• Ocean Physics
• Seawater Properties
• Geophysical Fluid Dynamics
• +5 more

Richard Pawlowicz is a Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC), within the Faculty of Science. His research focuses on ocean physics, seawater properties, geophysical fluid dynamics, and coastal processes. He holds a PhD from the MIT/WHOI Joint Program and has been a faculty member at UBC since 1996. His work integrates field observations, numerical modeling, and novel instrumentation, such as neutrally buoyant floats (Swish floats) and satellite-tracked drifters, to study coastal circulation, estuarine dynamics, and double diffusion processes. He leads research in the Salish Sea, Strait of Georgia, and Gulf of St. Lawrence, emphasizing subsurface mixing, dispersion, and the impacts of climate change on marine ecosystems. Education & Background: B.Sc. (Hons) from Queen's University (1987), PhD from MIT/WHOI (1994), Postdoctoral research at Institute of Ocean Sciences (1994–1996). Research Interests: Ocean circulation, nonlinear waves, estuarine mixing, double diffusion in stratified basins, and the application of TEOS-10 seawater standards. He collaborates on projects like the MEOPAR Observation Core and has developed influential software tools for oceanographic analysis. Students & Supervision: Active supervisor of graduate students and postdocs in physical oceanography. Notable supervisees include Mark Halverson, Caixia Wang, Sam Stevens, and Grace Watts. He emphasizes mathematical rigor and writing skills, requiring strong backgrounds in PDEs and fluid dynamics. Labs & Teams: Member of the MEOPAR Research Management Committee, co-chair of SCOR/IAPWS/IAPSO seawater committees, and collaborator with the Pacific Salmon Foundation's citizen science programs. His work contributes to coastal resource management and climate resilience initiatives.

Michele DolceView profile

Lecturer

• Partial Differential Equations
• Fluid Dynamics
• Kinetic Theory
• +4 more

Michele Dolce is a Lecturer and Scientist at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences (SB) and the Chair of Mathematical Analysis, Calculus of Variations and PDEs (AMCV). He previously held positions as a Postdoc at EPFL and a Research Associate at Imperial College London, where he worked under Prof. Michele Coti Zelati. His academic journey includes a PhD from the Gran Sasso Science Institute. Current affiliation: EPFL, School of Basic Sciences (SB), Department of Mathematics (MATH), AMCV Past affiliation: Imperial College London His research focuses on the mathematical analysis of Partial Differential Equations (PDEs) in fluid dynamics and kinetic theory. Key areas include hydrodynamic stability, long-time behavior of viscous vortex systems, and time-decay properties of kinetic models like the Boltzmann and Wave Kinetic Equations. Recent work explores vortex merging phenomena and Taylor dispersion in rotationally symmetric flows. Scientific activities include organizing workshops such as "Long time dynamics in random and deterministic systems" (2025) and co-organizing events like the "Deterministic and random features of fluids" summer school (2023) and the "Enjoying Probability and Fluids in Lausanne" workshop (2023). His publications span journals including Communications in Mathematical Physics, Archive for Rational Mechanics and Analysis, and Journal of Mathematical Fluid Mechanics. Supported by Swiss National Science Foundation (SNF Ambizione grant PZ00P2_223294) Partially funded by GNAMPA (INdAM group)

Paulo E. ArratiaView profile

Professor

• Soft Matter Physics
• Complex Fluids
• Biological Fluid Mechanics
• +4 more

Paulo E. Arratia is a Professor in the Department of Chemical and Biomolecular Engineering and Mechanical Engineering and Applied Mechanics. His research spans soft matter physics, complex fluids, and biomechanics, with a focus on non-Newtonian fluid dynamics, bacterial suspensions, and microfluidics. He serves as the Faculty Director of Undergraduate Research and leads a research group based in Towne M60, exploring phenomena such as viscoelastic flow instabilities and the physics of baseball mud. Departments: Chemical and Biomolecular Engineering, Mechanical Engineering and Applied Mechanics Honors: Eduardo D. Glandt Distinguished Scholar, Fellow of the Society of Rheology (2025), APS DFD Fellow (2022) His recent work highlights the interplay between biological systems and fluid mechanics, including studies on bacterial rheotaxis, sedimentation dynamics, and the rheology of human blood plasma. Collaborations with Dr. Jerolmack on mudslide physics and contributions to understanding elastic turbulence and chaotic transport further underscore his interdisciplinary approach. Scientific awards include: Fellow, Society of Rheology (2025) APS DFD Fellow (2022) for experimental discoveries in complex and biological fluid mechanics He has advised PhD students Bryan Torres Maldonado, Ranjiangshang Ran, and Larry Galloway, all of whom successfully defended their theses. His lab’s recent publications analyze soft matter mechanics, granular creep, and viscoelastic swimmers, reflecting ongoing trends in active matter and material failure.

• Hybrid Systems
• Networked Control Systems
• Event-Triggered Control
• +7 more

Maurice Heemels is a Full Professor at Eindhoven University of Technology (TU/e), leading the Control Systems Technology group. He holds additional professorships in EAISI Mobility, EAISI Foundational, EAISI Health, and EAISI High Tech Systems. His research focuses on hybrid and networked systems, emphasizing resource-aware control, event-triggered strategies, and cyber-physical systems integration. He is an IEEE Fellow and chairs the IFAC Technical Committee on Networked Systems. Academic Background: MSc and PhD in Mathematics (TU/e, 1995 and 1999, both summa cum laude ) Visiting Professorships: ETH Zurich (2001), UC Santa Barbara (2008) Industry Experience: Research & Development at Océ NV Research Interests: Hybrid Systems, Networked Control, Event-Triggered Control Model Predictive Control (MPC) in healthcare and high-tech systems Cyber-Physical Systems for applications like lithography and precision agriculture Key Contributions: Developed Hybrid Integrator-Gain (HIGS) systems and Projection-Based Control methodologies Recipient of a VICI Grant for wireless control systems research Oversaw over €7M in research funding from NWO, EU, and industry Awards & Recognition: Automatica Outstanding Service Award (2014) Best Paper Awards (EBCCSP 2017, etc.) Invited Keynote Speaker at ECC, CDC, and others Grants & Projects: Current Projects: COMEDI (Cost-effective Mechatronics), PROACTHIS (Projection-based Control) Past Projects: Fault Detection in Wafer Scanners, Drone-based Farming Labs & Teams: Active in TU/e’s Cyber-Physical Systems and Systems Engineering research groups, collaborating globally on nonsmooth dynamics and hybrid systems.

• Quantum Optics
• Terahertz Technology
• Photonics
• +4 more

Lukas Seitner is a researcher at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology and the Department of Electrical Engineering. He operates within the Associate Professorship of Computational Photonics led by Prof. Christian Jirauschek, focusing on advanced modeling of quantum cascade devices and terahertz photonics systems. His research spans quantum cascade lasers (QCLs), terahertz frequency combs, optical solitons, and computational photonics. Seitner has developed sophisticated simulation frameworks including Maxwell-Bloch and density matrix approaches to study nonlinear dynamics in optoelectronic devices. Key contributions involve passive mode-locking mechanisms in THz QCLs, graphene-integrated saturable absorbers for pulse generation, and backscattering effects in ring-cavity soliton formation. His work bridges theoretical modeling with practical device engineering for next-generation terahertz sources. As an educator, Seitner serves as assistant lecturer for multiple courses including Computational Photonics Laboratory (5 PR), Partial Differential Equations for Electrical Engineering (4 VI), and Simulation of Quantum Devices (4 VI). He actively participates in doctoral candidate seminars and specialized courses on quantum engineering, demonstrating strong commitment to academic training in photonics and quantum device physics. His teaching integrates cutting-edge research concepts into practical computational exercises. Seitner maintains active collaboration within the EU Project QOMBS and contributes to TUM's Computational Photonics group research infrastructure. His technical expertise encompasses numerical methods for partial differential equations, semiconductor device simulation, and nonlinear optical modeling. Current projects focus on optimizing THz comb sources for spectroscopic applications and extending quantum walk models for novel frequency comb generation mechanisms.

• Applied Mathematics
• Fluid Dynamics
• Topological Chaos
• +5 more

Jean-Luc Thiffeault is a Professor of Applied Mathematics at the University of Wisconsin-Madison, serving as Chair of the Department of Mathematics. His research spans applied mathematics, fluid dynamics, and topological chaos, with a focus on mixing mechanisms in viscous flows, biogenic mixing by microorganisms, and computational modeling. Key research themes include: Topology-driven fluid mixing via braid theory; Chaotic advection in low-Reynolds environments; Microswimmer interactions with boundaries and waves; Development of numerical tools for dynamical systems analysis. He has authored significant software packages like braidlab (braid analysis), rodent (ODE integration), and jlt lib (utility functions for scientific computing). Collaborative projects include studies on hagfish slime unraveling, burger flipping dynamics, and Brownian particle winding around vortices. His work is supported by NSF grants DMS-0806821 and CMMI-1233935, emphasizing interdisciplinary approaches combining mathematics, physics, and computational methods.

Rada SavicView profile

Professor

• Pharmacometrics
• Systems Pharmacology
• Precision Medicine
• +8 more

Rada Savic is a Professor in the Department of Bioengineering and Therapeutic Sciences at the University of California San Francisco (UCSF), with a focus on computational pharmacology and precision medicine. She serves as Codirector of the Pharmaceutical Sciences and Pharmacogenomics Graduate Program (PSPG) and is affiliated with the Quantitative Biosciences Institute (QBI). PhD, Pharmacometrics, Uppsala University (2008) MS, Biomedical Sciences, Uppsala University (2004) BSc, Pharmacy, University of Belgrade (2003) Her research integrates computational methods to study drug-disease interactions across molecular to whole-body scales, particularly in tuberculosis, HIV, malaria, and pediatric pharmacology. Key areas include pharmacometrics, systems pharmacology, precision dosing, and translational modeling. Recent work examines drug penetration in tuberculosis lesions, regimen optimization for drug-resistant infections, and pregnancy-related pharmacodynamic models for malaria. She has published extensively in journals like Nature Communications , Clinical Infectious Diseases , and Antimicrobial Agents and Chemotherapy . Leon I. Goldberg Early Investigator Award (2021) UCSF KL2 Career Award (2013) PhRMA Foundation Research Grant (2013) She leads NIH-funded tuberculosis consortia and contributes to global health initiatives through malaria and HIV pharmacology studies. Her collaborations span institutions including University of Belgrade, Uppsala University, and CDC Tuberculosis Trials Consortium.

Rob PooleView profile

Professor

• Rheology
• Fluid Mechanics
• Non-Newtonian Fluid Mechanics
• +5 more

Professor Rob Poole holds the Harrison Chair in Mechanical Engineering at the University of Liverpool’s School of Engineering, part of the Faculty of Science and Engineering. Previously Head of Department (2017–2021), he co-edits the Journal of Non-Newtonian Fluid Mechanics . His research focuses on rheology, fluid mechanics, and turbulence, with recent work on polymeric drag reduction, superhydrophobic surfaces, and viscoelastic instabilities. Education: BEng (Hons) and PhD in Mechanical/Aerospace Engineering. Research Interests: Non-Newtonian fluid mechanics Elastic turbulence and viscoelastic instabilities Polymer solutions and additive effects Heat transfer in porous media Constitutive equation development Awards & Fellowships: EPSRC Complex Fluids and Rheology Fellowship (2015–2021) British Society of Rheology Annual Award (2018) 2015 Best Paper Award (Theoretical and Applied Mechanics Letters) Grants & Projects: Funded projects include Flexible Heat Pump development (£1.5M), Instabilities in Complex Fluid Flows (£1.2M), and Superhydrophobic Surface Drag Reduction (£0.8M) Industry collaborations: Schlumberger, Procter & Gamble, National Nuclear Laboratory Professional Activities: Editorial roles: Journal of Non-Newtonian Fluid Mechanics (Co-Editor-in-Chief), Physics of Fluids External examiner at Warwick, Strathclyde, and multiple Indian Institutes of Technology

Diego DonzisView profile

Professor

• Fluid Dynamics
• Turbulence
• Turbulent Mixing
• +3 more

Diego Donzis is a Professor in the Department of Aerospace Engineering at Texas A&M University, affiliated with the College of Engineering. He holds the Presidential Impact Fellow title. His work focuses on high-performance computing for fluid dynamics, particularly compressible turbulence, turbulent mixing, and shock-turbulence interactions. Donzis earned his Ph.D. and M.S. in Aerospace Engineering from the Georgia Institute of Technology. Research interests include large-scale simulations of turbulent flows, thermal boundary condition effects on turbulence, and the development of advanced numerical methods like Selected-Eddy Simulations (SES) for extreme-scale computing. His studies explore universality in turbulence scaling, energy spectra dynamics, and the interplay between compressibility and fluid mixing. Publications emphasize turbulence decay laws, shock-turbulence interactions, and the role of thermal non-equilibrium in turbulent flows. Notable contributions include advancing asynchronous algorithms for exascale CFD and analyzing density gradient statistics in compressible turbulence. Awards include the Presidential Impact Fellow distinction. Donzis collaborates on grants such as the Frontera Travel Grant for compressible turbulence research. His work bridges computational methods with fundamental fluid dynamics, addressing challenges in both numerical accuracy and physical modeling.

• Viscoelastic Materials
• Vibration and Shock Isolation
• Smart Materials and Structures
• +6 more

Sunday Oyadiji is an Associate Professor in the Department of Mechanical and Aerospace Engineering at The University of Manchester. He holds a BSc (First Class) and PhD in Mechanical Engineering from the same institution (1979 and 1983). Before joining the University of Manchester in 1991, he served as a Lecturer at Obafemi Awolowo University, Nigeria, and conducted postdoctoral research at Heriot-Watt University and the University of Manchester. His research focuses on viscoelasticity, smart materials for vibration isolation, structural fault identification, and composite materials. Key areas include fracture mechanics, multibody dynamics, and biomechanics. He contributes to the Aerospace Research Institute and Digital Futures platforms, advancing aerospace engineering and structural fire safety. Recent work involves stress-intensity factor analysis using 3D-DIC and finite element methods, constitutive modeling of elastomeric foams, and graphene-based energy storage systems. His publications span high-impact journals like Engineering Fracture Mechanics and Polymer .

Miaoyan WangView profile

Associate Professor

• Statistical Machine Learning
• Matrix/Tensor Data Analysis
• High-Dimensional Statistics
• +3 more

Miaoyan Wang is an Associate Professor in the Department of Statistics at the University of Wisconsin-Madison, part of the School of Computer, Data & Information Sciences. She holds early tenure and is a faculty affiliate in the Mathematical Foundations of Machine Learning, Institute for Foundations of Data Science (IFDS), and Center for Demography of Health and Aging (CDHA). She is currently on sabbatical as a visiting associate professor at Stanford University and Lawrence Livermore National Laboratory. Education: PhD in Statistics from the University of Chicago (2015), BS in Mathematics from Fudan University (2010). Postdoctoral training included positions at UC Berkeley (Computer Science) and the University of Pennsylvania (Math+X). Research focuses on statistical machine learning, with emphasis on matrix/tensor data analysis, high-dimensional statistics, nonparametric learning, and applications in genetics. Her work bridges theory and practice, addressing challenges in computational efficiency and statistical optimality for complex data structures. Awards include the prestigious NSF CAREER Award (2022), multiple best paper awards (ASA, IMS, NEURIPS), and recognition from ASHJ and IGES. Her group has secured grants totaling $3.4 million, including NSF funding for foundational machine learning research and collaborative projects in population genomics. Advising includes PhD students Chanwoo Lee and Jiaxin Hu, with former students Yuchen Zeng and Zhuoyan Xu. She teaches advanced statistical methods and computational courses, emphasizing rigorous theoretical foundations and practical applications. Key collaborations include work on tensor decomposition algorithms, statistical genetics, and interdisciplinary projects with biology and computer science departments. Her lab contributes open-source software tools for data analysis, including packages for tensor block models and multiway clustering.

Matthias IhmeView profile

Professor

• Combustion Science
• Fluid Dynamics
• Computational Fluid Dynamics
• +5 more

Matthias Ihme is a Professor in the Department of Mechanical Engineering and Photon Science Directorate at Stanford University. His research focuses on large-eddy simulation (LES) of turbulent reacting flows, aeroacoustics, combustion-generated noise, numerical methods, and high-order schemes. He holds a Ph.D. from Stanford University (2008), an M.Sc. in Computational Engineering from the University of Erlangen (Germany, 2002), and a Dipl.-Ing. in Mechanical Engineering from Munich University of Applied Sciences (Germany, 2000). His work bridges computational fluid dynamics, combustion science, and photon science, with notable contributions to supercritical fluid dynamics, machine learning integration in fluid simulations, and high-fidelity atmospheric transport modeling. Recent research emphasizes ultrafast cluster dynamics, shock-induced interface behavior, and stochastic ignition mechanisms in advanced fuel systems. Publications highlight interdisciplinary advancements, including physics-informed ML frameworks for reacting flows and experimental studies using X-ray photon correlation spectroscopy. His projects often involve high-performance computing and collaboration with national labs like SLAC.