Giuseppe Fumero is a Researcher at West Virginia University (WVU), affiliated with the Bristow Group. His research focuses on Ultrafast Spectroscopy, Nonlinear Optics, and Polaritonics, with applications in Femtochemistry and Quantum Light phenomena. He collaborates extensively with leading physicists such as G. Batignani, G. Cerullo, and S. Mukamel. Education: Not explicitly stated in provided texts. His work bridges fundamental physics and applied optics, addressing topics like coherent Raman spectroscopy, light-matter coupling in low-dimensional materials, and pulse shaping techniques. Recent studies include deep learning applications for Raman response analysis and molecular dynamics via impulsive spectroscopy. Key collaborations span institutions including Sapienza University of Rome, Politecnico di Milano, and NIST. He has published over 20 peer-reviewed articles since 2015, with notable contributions to understanding femtosecond lattice dynamics and stimulated Raman spectroscopy.
Greg M. Forest is a Professor of Biomedical Engineering and the Grant Dahlstrom Distinguished Professor of Mathematics at the University of North Carolina. His research focuses on the intersection of applied mathematics, biophysics, and biomedical engineering, with emphasis on biomaterials, mucus rheology, and infectious disease modeling. He leads interdisciplinary projects involving polymer networks, viral transport mechanisms, and computational modeling of biological systems. His work bridges experimental, statistical, and theoretical approaches to address challenges in healthcare and material science. Key research interests include: biophysical analysis of mucus in cystic fibrosis, mathematical modeling of viral infections (e.g., SARS-CoV-2), polymer nanocomposite design, and the dynamics of biomolecular condensates. He has contributed to advancing techniques like particle tracking microrheology and computational fluid dynamics for biological systems. His research has been supported by grants such as the RAPID initiative for lung mucus strategies against COVID-19 and collaborative projects on liquid-liquid phase separation in cellular compartments. He is affiliated with the Statistical and Applied Mathematical Sciences Institute (SAMSI), emphasizing interdisciplinary mathematical applications. Publications highlight trends in mucus heterogeneity, viscoelastic fluid dynamics, and crosslinker optimization for biomedical applications. While no formal awards are listed, his distinguished professorship reflects recognition of his scholarly contributions.
Professor Sotiris Tsolacos is a Professor of Real Estate at Bayes Business School, City St George's, University of London, and Programme Director for the MSc in Real Estate Investment. Previously, he held a chair at Henley Business School, Reading University. With 15 years in industry roles at JLL and Property and Portfolio Research, he specializes in real estate investment, pricing, and risk analysis. His research focuses on forecasting, market bubbles, early warning indicators, and sustainability impacts. He has published over 45 academic papers and co-authored two textbooks, 'Real Estate Modelling and Forecasting' (2010) and 'Applied Quantitative Analysis for Real Estate' (2020). Awards include the European Real Estate Society Achievement Award (2009) and Homer Hoyt Fellow (2011). He is an editorial board member for journals like Journal of Property Investment and Finance and a frequent speaker at international conferences. Education PhD in Economics, Reading University, UK MA in International Financial Management, Reading University, UK Research Interests His work combines academic rigor with industry insights, emphasizing quantitative methods in real estate forecasting. Key areas include: Statistical and machine learning models for demand, rents, and yield forecasting Price bubble detection using econometric techniques Leading indicators for market turning points Impact of sustainability features on property values Unlisted real estate fund performance analysis Professional Activities Awards and recognition include: President, European Real Estate Society Judge for IPE Global Real Estate Awards His collaborations span academia and industry, addressing practical challenges like risk management and fair value determination for investors and regulators.
Alan O'Donovan is an Associate Professor in the School of Engineering at the University of Limerick. He holds a PhD in Thermofluids (2015) and a Bachelor of Engineering in Mechanical Engineering (2010), with a recent Graduate Diploma in Teaching, Learning, and Scholarship (2024). His research focuses on Thermal Engineering, Energy Management, and Decarbonisation, addressing challenges in sustainable energy systems, thermal storage, and material processing. He actively supervises PhD students and contributes to advancing renewable energy technologies. Key research interests include optimizing thermal power plant performance through low-temperature thermal storage and modular air-cooled condenser design. He explores two-phase flow dynamics and residual stress reduction in aluminum alloys using uphill quenching techniques. His work aligns with UN Sustainable Development Goals, particularly in clean energy and industrial innovation. Publications span experimental and theoretical studies on thermal systems, with recent emphasis on renewable energy applications. He maintains active collaboration through his ORCID profile and LinkedIn network.
Steven Weinstein is the Harvey J. Palmer Endowed Professor of Chemical Engineering at RIT, affiliated with the Kate Gleason College of Engineering and School of Mathematics and Statistics. He holds degrees from University of Rochester (B.S.) and University of Pennsylvania (M.S., Ph.D.). With 18 years at Eastman Kodak, his research focuses on coating science, fluid mechanics, asymptotic analysis, and boundary layer theory. He co-authored seminal work on coating flows and received awards including the CEK Mees Award and Young Investigator Award. Weinstein leads the Barlow-Weinstein Group, advancing asymptotic methods in fluid dynamics and mathematical physics. He teaches courses in transport phenomena and analytical techniques, and advises the Chemical Engineering department. His recent work includes studies on chiral semiconductors, epidemic modeling, and nanomaterials. He has secured $1M+ in research funding, contributing to RIT's interdisciplinary research initiatives. Education: B.S. University of Rochester (1983), M.S./Ph.D. University of Pennsylvania (1985/1988) Affiliations: Core faculty in RIT's Mathematical Modeling Ph.D. Program, adjunct roles at Cornell/University of Rochester Research Labs: Barlow-Weinstein Group (specializing in asymptotic analysis and fluid dynamics) Research interests span fluid instabilities, boundary layer solutions, and mathematical modeling applications in materials science and epidemiology. Over 150+ publications include breakthroughs in analytical methods for nonlinear systems and fluid dynamics. Active in funded collaborations with Cornell University and industrial partnerships. Recognized for bridging academic and applied research through patented innovations in coating technologies.
Wessel Willems Wits is a Researcher in Multiscale Modeling and Simulation at the University of Twente. His work focuses on Additive Manufacturing, Thermal Management, and Materials Science, contributing to UN Sustainable Development Goals through innovative thermal solutions. He holds a PhD from the University of Twente (Research UT). Research Interests: Additive Manufacturing techniques including powder bed fusion and metamaterial design Thermal management systems for electronics and heat transfer optimization Development of advanced materials like 2D composite powders Recent Research Trends: His 2024-2025 publications emphasize material characterization for AM processes, thermal modeling of microchannel systems, and experimental validation of cooling solutions. Key innovations include ThermoDust materials and unsupported overhang structure fabrication. Scientific Contributions: 149+ research outputs with 2010 citations and an h-index of 19 Recent Activities: 20+ presentations including invited talks on additive manufacturing advancements Labs/Teams: Active in multidisciplinary research groups focusing on additive manufacturing processes and advanced thermal systems development.
Andrew Christlieb is the MSU Foundation Professor in the Department of Computational Mathematics, Science and Engineering (CMSE), with affiliations in both the College of Engineering and the College of Natural Science at Michigan State University. His research focuses on advanced numerical methods for plasma physics, kinetic theory, and high-order computational techniques. He has contributed extensively to particle-in-cell (PIC) methods, semi-Lagrangian schemes, and machine learning-driven approaches for solving complex physical systems. Research Interests: Development and analysis of high-order numerical methods for PDEs Plasma dynamics and magnetohydrodynamics (MHD) Data-driven modeling of kinetic systems Efficient solvers for radiative transfer and Vlasov equations Recent Work: Recent publications emphasize kernel-based methods, adaptive-rank algorithms, and machine learning for hyperbolic systems. His work bridges computational mathematics with applications in plasma physics, astrophysics, and engineering. Labs/Teams: As a leader in CMSE, he collaborates with interdisciplinary teams on projects involving scientific computing and computational plasma physics. Grants/Advising: His research is supported by grants focusing on scalable algorithms and hybrid methods. While specific advising details are not listed, his work involves mentoring graduate students in computational science.
Anton A. Darhuber is a Full Professor in the Department of Applied Physics at Eindhoven University of Technology (TU/e), leading the Micro- and Nanoscale Flows research group within the Fluids and Flows section. He also holds a Full Professor position at EIRES Research. His work spans fundamental fluid physics at micro- and nanoscales with applications in semiconductor manufacturing, printing technologies, and energy systems. Research Interests: Darhuber specializes in surfactant-driven flows , plasma-liquid interactions , thermo/solutocapillary phenomena , and thin film dynamics . His lab investigates how liquids interact with solids across nanometer-to-millimeter scales, focusing on pattern formation, defect mitigation in lithography, and evaporative processes. Key application areas include immersion lithography, inkjet printing, and enhanced oil recovery. Research Trends: Recent publications reveal a strong emphasis on plasma-induced liquid flows (2024-2025), where electrical properties dictate flow direction in saline solutions, and phase separation in meniscus-guided deposition (2025) for polymer thin films. His group combines experimental techniques with computational modeling to address challenges in watermark defect formation and coffee-stain effects. Supervision & Grants: Darhuber actively supervises doctoral candidates (e.g., Sajjad Karimnejad, R.A.J. de Bruijn) and master's students. He leads major projects including FIP2.0: Complex Fluids on Complex Substrates (2020-2026), Defeng: Defect Engineering in Thin Films (2019-2025), and HVCLD: High Velocity Contact Line Dynamics (2022-2029), securing third-tier and first-tier funding from industrial and academic sources. Research Infrastructure: The Micro- and Nanoscale Flows group operates advanced facilities for microfluidic experimentation, plasma-liquid interaction studies, and high-speed imaging of interfacial phenomena. Collaborations span semiconductor industry partners (ASML), academic institutions (Princeton University), and EU-funded consortia focused on sustainable manufacturing.
Tess A.M. Homan is an Assistant Professor in the Power & Flow group at Eindhoven University of Technology. Her experimental research focuses on fundamental fluid dynamics including multiphase flows, granular matter interactions, and biologically inspired systems. Recent work combines AI-enhanced bubble segmentation and microfluidic innovations. She holds a PhD in Physics (2013) from University of Twente and conducted postdoctoral research at ENS de Lyon (three-phase flows) and Université Claude Bernard Lyon 1 (biophysics). Teaches experimental methods and MATLAB courses.
Arris S. Tijsseling is a researcher active in engineering fields, particularly focusing on transient pipe flow , water hammer , and fluid-structure interaction . His work spans both theoretical and applied research, with a strong emphasis on computational fluid mechanics and dynamics. Field of Interest : Transients, One-Dimensional Modeling, Hydrodynamics Course Taught : Analysis 3 (2013–2025) His recent research includes GPU-accelerated simulations of two-phase flows and the development of Lagrangian particle models for moving boundary problems. Publications highlight collaborations with international researchers and institutions, addressing complex challenges in pipeline systems and pressure wavefronts. Tijsseling has supervised 19 formal advisees and contributed to datasets in transient flow analysis. His work has been cited over 3,700 times, reflecting significant impact in fluid dynamics and pipeline engineering.
Peter Lipman is a Researcher at the Chemical Engineering and Chemistry department of Eindhoven University of Technology . His work focuses on Chemical Engineering , Reactor Engineering , and Mass Transfer processes. Research Interests : Chemical Reactor Engineering, Sustainable Process Engineering, Plasma Processing, Gas Adsorption/Desorption, Nanostructured Materials, and Porous Media Dynamics. Affiliation : Department of Chemical Engineering and Chemistry, Eindhoven University of Technology. His recent publications highlight advancements in Plasma Processing for Nanoparticle Synthesis , CFD-DEM Modeling of Fluidized Beds , and Diffusion-Reaction Analysis in Coarse Porous Media . Key trends include applications in Separation Processes , Transport Phenomena , and Catalytic Systems . Email : p.j.l.lipman@tue.nl
Jeff Gostick is the Azzam-Dullien Endowed Chair & Professor in the Department of Chemical Engineering at the University of Waterloo, serving as Associate Chair for Graduate Studies. His research focuses on porous materials engineering, multiphase flow dynamics, and electrochemical energy conversion, with applications in batteries and fuel cells. He leads the Porous Materials Engineering & Analysis Lab (PMEAL), which develops novel characterization tools and pore network models to optimize material performance. Education: 2008 – Doctorate in Chemical Engineering, University of Waterloo 2002 – Master of Applied Science in Chemical Engineering, University of Waterloo 2000 – Bachelor of Engineering in Chemical Engineering, Ryerson University Research Interests: Porous media and multiphase flow phenomena Pore network modeling for energy storage systems Electrode design and optimization for redox flow batteries X-ray tomography and image-based analysis Computational multiphysics simulations Notable Awards: Azzam-Dullien Professorship (2023) Waterloo Engineering Research Excellence Award (2023) Canadian Society for Chemical Engineering 'Emerging Leader' (2021) Teaching & Advising: Recent courses include CHE 181, CHE 200, CHE 331, and NE 111 Focus on active learning pedagogy Labs/Teams: PMEAL lab specializes in advanced materials characterization and computational modeling, with collaborations across academia and industry. Ongoing projects include graphene oxide membranes, 3D-printed electrodes, and CO2 conversion systems.
Daniel Duke is a Senior Lecturer in the Department of Mechanical & Aerospace Engineering at Monash University (Clayton Campus). He leads two active Australian Research Council (ARC) Projects focused on developing synchrotron x-ray diagnostics for studying cavitation, liquid atomization, and medical sprays. His expertise includes fluid mechanics, aerosol science, and high-performance computing tools. Education : PhD in Mechanical Engineering (Monash University, 2013) External Roles : Former ARC DECRA Fellow and Fulbright Scholar; Postdoctoral Appointee and Visiting Scholar at Argonne National Laboratory (2011–2017). Research Focus : Duke specializes in turbulent multi-phase flows and medical spray optimization. His work emphasizes environmentally friendly propellants for metered dose inhalers (pMDIs), leveraging synchrotron diagnostics and computational fluid dynamics. Key areas include cavitation mechanisms, droplet control, and sustainable inhaler design. Recent Projects : Engineering optimal particle maturation in multicomponent sprays (2025–2028), Cavitation in Ionic Liquids (2023–2026), and Low-GWP pMDI sprays (2020–2024). These projects address both technical and sustainability challenges in medical aerosol systems. Awards : Bill Melbourne Medal (2013), Argonne 'Pace Setter' Award (2016), and William R. Marshall Prize (2014). Grants : ARC funding for three major projects totaling over AUD 5M. Labs & Activities : Active in synchrotron-based research at ANSTO. Collaborates with industry partners (e.g., Suresonix Pty Ltd) and leads international workshops on aerosol science and sustainable technologies.
David Saintillan is the Principal Investigator of the Saintillan Research Group, leading a team focused on fundamental fluid mechanics involving complex fluids and flows at small scales. His research integrates modeling, theory, and numerical simulations to study microstructure-fluid interactions in systems like particle suspensions, biopolymers, and swimming microorganisms. Key interests include multiphysics phenomena, hydrodynamic interactions, and large-scale computational analysis, with applications in biophysics, environmental science, and engineering. Recent work emphasizes active nematics, interfacial dynamics, and self-organized systems, as seen in publications such as Active nematic fluids on Riemannian two-manifolds (2025) and Self-organized dynamics of a viscous drop (2025). Tanumoy Dhar, a former advisee, defended his PhD on active-passive particle interactions (April 2025). The group has presented at major conferences like the APS Global Physics Summit (2025) and published in high-impact journals like Proceedings of the Royal Society A . Scientific contributions span fluid film stability, electrohydrodynamics, and biophysical systems, with a focus on interdisciplinary approaches combining theory and experimentation. The team’s work often bridges applied mathematics and engineering, addressing unresolved challenges in complex fluid dynamics.
Pengtao Sun is a Professor in the Department of Mathematical Sciences at the University of Nevada, Las Vegas (UNLV). His research focuses on computational mathematics, numerical solutions of partial differential equations, and scientific computing, with applications in fluid-structure interaction, fuel cell dynamics, and clean energy technologies. Supported by NSF since 2009, his work emphasizes advanced numerical methods like the finite element method, finite volume method, and domain decomposition techniques. He has contributed to modeling fluid-structure interactions using ALE and fictitious domain methods, as well as studies on lithium batteries and PEM fuel cells. His research also explores energy-preserving algorithms and machine learning approaches for complex systems. Dr. Sun’s expertise includes anisotropic/isotropic adaptive finite element methods, phase field methods, and the development of efficient solvers for multiphysics problems. His recent work addresses challenges in deterministic lateral displacement problems and thermal management of energy systems. He collaborates with the Center for Applied Math & Statistics (CAMS) at UNLV and has published extensively on topics like blood pressure prediction via fluid-structure interaction modeling and mesh-free neural network methods. His research portfolio reflects a blend of theoretical advancements and practical applications, bridging computational mathematics with engineering and environmental science. While no awards are explicitly listed, his sustained NSF funding underscores the significance of his work in advancing numerical methodologies for complex physical systems.
