Seyed Hossein Hosseini is a researcher affiliated with the University of Tabriz, Iran. His work focuses on power electronics, particularly in the design and optimization of DC-DC converters, multilevel inverters, and renewable energy systems. Key contributions include high step-up converter topologies, modular converter structures, and coupled inductor applications. He has collaborated extensively with researchers like Mehran Sabahi, Ebrahim Babaei, and Gevork Babamalek-Gharehpetian. His research appears in reputable journals such as IEEE Transactions on Industrial Electronics and International Journal of Circuit Theory and Applications.
Marc van den Berg is an Assistant Professor of Integrated Project Delivery at the University of Twente, The Netherlands. His research advances circular construction and sustainable built-environment transitions through digital technologies, ethnographic methods, and multi-actor innovation processes. He leads projects on Building Information Modelling (BIM) for circularity, deconstruction and reuse logistics, and strategic niche management in construction. Education Dr.ir. (PhD equivalent) – University of Twente Research Interests Dr. van den Berg’s work sits at the intersection of digital construction technologies and circular-economy transitions . He investigates: BIM-enabled circularity assessment across design, construction and demolition phases Ethnographic studies of on-site deconstruction practices and reuse realisation Agent-based modelling of material-supply matchmaking and circularity hubs Multi-actor decision-making tools for sustainable project delivery His methodological repertoire combines design-science research, interpretative phenomenology, semi-structured interviews, and serious gaming to co-create actionable knowledge with industry and governmental partners. Scientific Awards Emerald & EFMD Outstanding Doctoral Research Award (2020) CIOB Award for collaborative research on sustainability (2024) Emerald Best Paper on Sustainability (2022) RICS Best Paper on Sustainability (2019) Wiley-Blackwell Award for environmental-impact research (2024) Doctoral Supervision & Grants He has supervised at least one PhD candidate (L. Jiang) whose dissertation focused on circularity assessment with BIM. He participates in multiple Dutch and EU-funded consortia exploring circular construction ecosystems, digital twins for deconstruction, and field-lab experimentation. Labs & Teams Dr. van den Berg is a core member of the Integrated Project Delivery research group at the University of Twente. He also co-leads the Fieldlabs@Scale initiative, producing open datasets and toolkits for circular construction innovation.
Moongyu Park is a Visiting Assistant Professor of Mathematics at Purdue University's Department of Mathematics, part of the College of Science. His research focuses on stochastic processes, fractional differential equations, mathematical biology, and numerical computation. Specific interests include anomalous diffusion, renormalization groups, and applications in porous media modeling. His work spans theoretical developments in fractional calculus and numerical methods, such as finite element approaches for two-sided fractional equations and neural network methods for integral fractional Laplace equations. He also explores interdisciplinary topics like network worm attack propagation models and material science applications in carbon-nanotube electrodes. Key areas of contribution include upscaling techniques for heterogeneous media, stability analysis of numerical methods, and stochastic modeling of complex systems. His research bridges pure mathematics with practical applications in fluid dynamics, cybersecurity, and materials engineering.
Julien Maes is an Assistant Professor at the School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, and a member of the Institute for GeoEnergy Engineering. His research focuses on porous media, permeability, multiphase flow, and reactive transport, with applications in CO₂ storage, geothermal energy, and digital rock physics. He has developed novel methodologies for modeling subsurface processes using machine learning, microfluidics, and multiscale simulations. Key research interests include carbonate reservoir characterization, fracture conductivity correction, and the integration of AI-driven models for environmental and energy systems. His work contributes to Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13). Recent publications highlight advancements in surrogate modeling for geothermal reservoirs, hybrid macropore-Darcy approaches for permeability estimation, and deep learning-based prediction of reactive dissolution. He has collaborated on open-source tools like the Carbonate Reservoir Group HWU dataset (Bitbucket repository), enabling reproducible research in porous media studies. Labs/Teams: Carbonate Reservoir Group at Heriot-Watt University Grants/Advising: No specific grants or advisees listed, but active in collaborative research projects
Dr. Jun Han is an Assistant Professor at Heriot-Watt University's School of Energy, Geoscience, Infrastructure and Society. Previously, he worked at CSIRO in Australia on building energy modeling and software development. He holds a Ph.D. from The Hong Kong Polytechnic University and master's/bachelor's degrees from USTC and SUST. His research focuses on renewable energy technologies (photovoltaics, phase change materials) and CFD urban modeling. Education: Ph.D., Building Services Engineering, The Hong Kong Polytechnic University M.Sc., Thermal Science & Energy Engineering, University of Science and Technology of China B.Eng., Architectural Engineering, Southwest University of Science and Technology Research interests include solar architecture design, building performance simulation, and energy-efficient technologies. His work contributes to UN SDGs related to affordable clean energy and sustainable cities. He has secured grants totaling over £30,000 from Scottish Funding Council, National Natural Science Foundation of China, and others. Key contributions include developing thermal energy storage using PCMs, analyzing double-skin photovoltaic windows, and evaluating heatwave vulnerability in building systems. He serves as a reviewer for journals like Applied Energy and Solar Energy, and has received awards including the Light.ication Education Award (2017) and Anhui Province Science Prize (2007). Current projects involve passive cooling strategies using PCMs and sustainable solutions for Southeast-Asian urban environments. His lab focuses on integrating renewable energy systems with building envelopes to enhance energy efficiency and thermal comfort.
Arvind Santhanakrishnan is an Associate Professor in Mechanical and Aerospace Engineering at Oklahoma State University, holding the Carol M. Leonard Professorship. He specializes in biofluid mechanics, bio-inspired design, and fluid-structure interaction. His research focuses on biological systems like jellyfish, insects, and crustaceans, exploring propulsion mechanisms, vortex dynamics, and medical device innovation. Education: Ph.D. in Mechanical Engineering (University of Kentucky, 2007); B.E. in Mechanical Engineering (Bharathidasan University, 2002). He teaches advanced fluid dynamics and experimental methods. Research interests include metachronal coordination in aquatic locomotion, bristled wing aerodynamics, and biomedical device testing. His work bridges engineering and biology, with applications in renewable energy (e.g., wind turbines) and medical technology. Awards include the Carroll M. Leonard Fellowship (2018) and Outstanding Faculty Award (2017). His recent publications analyze propulsion systems, vortex interactions, and jellyfish fluid dynamics. Labs/Teams: Active in fluid dynamics experimentation and bio-inspired robotics development. Collaborates on projects like the KIDS pediatric dialysis device and blowhole flow simulation for marine mammals.
Thomas P. Witelski is a Professor at Duke University with joint appointments in the Department of Mathematics (Trinity College of Arts & Sciences, since 2011) and Thomas Lord Department of Mechanical Engineering and Materials Science (Pratt School of Engineering, since 2016). His work focuses on applied mathematics and industrial fluid dynamics. Ph.D. in Applied Mathematics (Caltech, 1995) B.S.E. in Engineering (Cooper Union, 1991) Research Focus Specializing in nonlinear differential equations , Witelski develops mathematical models for viscous fluid flow , dewetting thin films , and dynamical systems . His research extends to industrial applications like spin coating and biomedical contexts such as tear film dynamics in dry-eye syndrome. Publication Trends Recent work (2024-2025) addresses IMEX numerical methods for thin films, coarsening dynamics , and tumor growth instabilities . Earlier studies (2018-2020) explore self-similar solutions , Marangoni effects , and heterogeneous substrate interactions . Awards & Service Awarded the NSF CAREER Award (2003), Witelski organizes conferences like the TriCAMS Symposium (2023) and Mathematical Problems in Industry Workshop (2016). He mentors graduate and undergraduate students in mathematical modeling camps and serves on editorial boards for dynamical systems journals.
Javad Mohammadpour is a Postdoctoral Research Fellow and Academic Casual at Macquarie University's School of Engineering, with an adjunct researcher position at the University of Tasmania. He is a member of the Macquarie Smart Green Cities Research Centre and has served as a guest lecturer in courses like Fluid Mechanics (MECH2002) and Safety & Risk Engineering (ENGG8401). His research focuses on CFD, hydrogen energy systems, renewable energy optimization, and machine learning applications in thermal engineering. Key projects include a BE CRC-CO funded initiative assessing hydrogen incidents in maritime vessels and a Virtual Reality Lab for Fluid Mechanics education. He has authored 44 peer-reviewed publications, with a focus on cryogenic hydrogen safety, thermal optimization, and corrosion management. Awards include the Macquarie University Sustainable Energy Research Centre PhD scholarship and multiple peer-review recognitions. PhD in Mechanical Engineering (not explicitly stated but implied by title) Adjunct Researcher at University of Tasmania (2023-2026) Postdoctoral Research Fellow at University of Tasmania (2022-2023) Research interests span computational fluid dynamics, hydrogen energy systems, and machine learning-driven optimization. His work emphasizes thermal management in microchannel systems, cryogenic hydrogen safety, and predictive modeling for industrial hazards. Grants include the Macquarie University Postgraduate Research Fund (PGRF) and DVC-R commended applications. He has contributed to over 19 peer-review activities for journals like Fire and Micromachines . Labs/Teams: Active in the Smart Green Cities Research Centre and collaborates with institutions like the University of Tasmania on hydrogen safety and thermal energy projects.
Prof. Sonal Choudhary is a Chair in Sustainable Management at the University of York's School for Business and Society. Previously, she held senior roles at The Sheffield University Management School, including Head of the Operations Management & Decision Sciences Research Centre. She specializes in sustainable food systems, resilient supply chains, and interdisciplinary policy-research integration. Education: PhD in Environmental Sustainability (University of Sheffield, 2014), MSc in GIS & Environmental Modelling (University of Hull, Distinction), MSc in Environmental Biology (University of Delhi, Distinction). Awards include the Gold Medallist in Environmental Biology, Marie Curie ITN Fellowship, and recognition as a 'Climate Leader' by Al Gore. Research focuses on food systems resilience, digital innovations in agriculture, and circular economy practices. Key projects include the £1.2m STFC Food Network+ Phase 2 and £0.84m TRANSSITioN project addressing food chain sustainability in India. She advises major organizations like Tesco on Net Zero initiatives and collaborates with global stakeholders in food, energy, and policy sectors. Grants: Over £12m secured from UKRI, STFC, and international bodies. Leads interdisciplinary teams in food systems research, including the H3 project on healthy soils and food systems. Supervises PhD students and chairs expert groups on sustainable food systems. Labs/Teams: Leads the Sustainable Agri-food integrated VAlue chain Network (SAVAN), STFC Food Network+, and collaborates with the Institute for Sustainable Food and Advanced Resource Efficiency Centre (AREC).
Sotos Generalis is an Associate Professor in Applied Mathematics & Data Science at Aston University, affiliated with the School of Computer Science and Digital Technologies and the Aston Fluids Group within the College of Engineering and Physical Sciences. His research focuses on fluid dynamics, particularly sequential transition to turbulence in shear flows and molecular dynamics simulations complementing Navier-Stokes equations. Collaborations include projects with Japanese researchers exploring molecular-scale turbulence and emerging engineering applications. Research interests emphasize turbulence transition mechanisms, vortex dynamics, and computational modeling of complex fluid systems. Key areas include Couette flow analysis, stratified shear flows, and pattern formation in volumetrically heated fluids. His work bridges molecular-scale simulations with macroscopic fluid dynamics, aiming to advance engineering technologies through turbulence understanding. Notable achievements include the Lord Staffordshire Award for Innovation (2000) recognizing contributions to domestic appliance innovation. He has supervised 11 research projects, fostering expertise in fluid mechanics and computational methods. Active in collaborative networks, his research spans international partnerships and addresses societal challenges through fluid dynamics innovation.
Massimo Vergassola is a Professor at École Normale Supérieure-PSL (ENS-PSL) in Paris and Director of the ENS-PSL Center for Quantitative Biology. His research bridges physics and life sciences, focusing on the physics of living systems with emphasis on embryonic development , animal behavior , and biological navigation . He holds a joint appointment as CNRS Directeur de Recherche and leads initiatives at the PariSanté Campus Val-de-Grâce, integrating institutions like Inserm and Inria. Education: Laurea in Physics (University La Sapienza, Rome, 1985-1990); PhD in Physics (University Nice-Sophia Antipolis, 1990-1993); Post-doc at Princeton University (1994-1995) His research spans fluid dynamics , statistical physics , and biophysics , addressing problems like olfactory navigation , chemotaxis , cell size control , and mitotic wave dynamics . Recent work explores Bayesian search strategies in turbulent flows and topological interactions in developmental biology. His 15 most recent articles reveal a focus on olfactory search algorithms , embryonic patterning , gene regulation , and turbulent transport . Keywords include Biophysics , Computational Biology , and Nonlinear Dynamics . Scientific Awards : APS Fellow, APS Outstanding Referee, CNRS Bronze Medal, Fondation de France Thérèse Lebrasseur Prize, EADS Grand Prix, and Accademia dei Lincei student award Vergassola contributes to academic governance via editorial boards ( Physics Reports , JSTAT ) and grant committees (Human Frontier Science Project). His lab at ENS-PSL collaborates with institutions like Harvard Center for Quantitative Biology and Pasteur Institute.
Professor Thomas J Bridges is a faculty member in the Department of Mathematics at the University of Surrey, affiliated with the School of Mathematics and Physics. He holds a PhD, MA, and BSc, and is actively engaged in research and teaching in applied mathematics. Academic Rank: Professor Institution: University of Surrey School: School of Mathematics and Physics Department: Department of Mathematics Email: t.bridges@surrey.ac.uk His research focuses on water waves, symplectic geometry, shallow water hydrodynamics, and nonlinear wave theory. Key interests include the Maslov index, solitary waves, Whitham modulation, and geometric mechanics. He has contributed extensively to the theory of wave-mean flow interaction and the emergence of dispersive models such as KdV and Boussinesq equations. The recent publications highlight a consistent focus on symplectic structures, stability of waves, and numerical simulations of fluid systems. Themes include modulation theory, multi-phase waves, and the dynamics of shallow water and sloshing. His work often bridges abstract geometric formulations with physical fluid dynamics applications. Notable scientific contributions include: Development of multi-symplectic formulations for PDEs Reformulation of Whitham modulation near criticality Analysis of coalescing characteristics in wave systems Geometric phase and stability of nonlinear waves Theory of secondary criticality in water waves He has supervised MSc projects in astrodynamics and fluid dynamics, and his teaching includes Lagrangian fluid dynamics and geometric mechanics. He leads research projects such as the OWEL initiative on ocean wave energy. He collaborates widely and has advised multiple students in computational and theoretical fluid mechanics. Laboratories and research teams are not explicitly named, but his work involves numerical simulation groups and collaborations on fluid-structure interaction and wave energy systems.
Rob Hagmeijer is a Researcher at the University of Twente within Engineering Fluid Dynamics . With over 100 publications and an h-index of 12, his work spans computational fluid dynamics, laser ablation, and biomedical applications including nasal high-flow therapy and coronary bypass surgery optimization. Active in Medical Engineering and Fluid Dynamics research Recipient of the John Parker Medal (2017) and 3rd Prize Best Oral Presentation MST (2019) Developed algorithms for condensation experiments and multi-phase flow modeling Recent Research Trends: Focus on branched fluidic network optimization (2025), laser ablation crater analysis (2023), and computational modeling of respiratory systems (2022). His work combines theoretical analysis with clinical validation across disciplines. Scientific Awards: 3rd Prize Best Oral Presentation MST Wetenschapssymposium 2019 John Parker Medal for best clinical presentation at SCTS 2017 Collaborative Activities: Participated in presentations at conferences like SCTS 2017 , MST Wetenschapssymposium 2019 , and ECMI 2004 . Collaborated on projects involving laser-cluster interaction and high harmonic generation (2013).
Alberto Striolo is the Asahi Glass Chair and Lloyd and Jane Austin Presidential Professor in the School of Chemical, Biological and Materials Engineering at the University of Oklahoma. He also holds an honorary part-time position as Research Professor at University College London (UCL). His research focuses on molecular simulations and multi-scale modeling to address challenges in energy, environmental science, and materials engineering. Education: PhD (2002) and B.S. (1998) in Chemical Engineering from the University of Padova, Italy. Postdoctoral training at UC Berkeley, North Carolina State University, and Vanderbilt University. Research Interests: In-silico design of chemical additives, environmental impact mitigation for energy sectors, microplastics/antibiotics contamination management, and pedagogical innovations. His work combines advanced simulations (e.g., molecular dynamics, machine learning) with experimental collaborations, aiming to bridge theory and industrial applications. Key Contributions: Over 200 peer-reviewed publications, including work on gas hydrate management, nanoparticle behavior, and shale gas dynamics. Notable projects include collaborations with BP, Chevron, and the Lawrence Berkeley National Laboratory. Awards: HP Outstanding Junior Faculty Award (2011), Fellowships from IoM3, RSC, IChemE, and IoP. Named Honorary Research Professor at UCL (2021). Advising & Grants: Mentored over 20 PhD students and postdocs. Secured funding from NSF, EPSRC, and industry partnerships. Active in diversity initiatives, including workshops on inclusivity in STEM. Labs & Teams: Leads a multidisciplinary research group utilizing cutting-edge computational tools. Collaborates internationally on projects like carbon capture and geothermal energy solutions.
Nikolay Dimov is a Researcher at the University of Hertfordshire's School of Physics, Engineering & Computer Science, Department of Engineering and Technology. He leads the Microfluidics and Microengineering Research Group (MMRG) and collaborates with the Bioengineering research group and Extracellular Vesicle Research Unit. His work focuses on developing lab-on-a-chip biodetection systems for early disease diagnostics and exosome isolation technologies. Key projects include the DIVISIUM chip development and CIBD compact detection systems. His research integrates microfluidics with molecular assays for point-of-care diagnostics, combining engineering and biomedical approaches. Notable collaborations span 3D printing resins for medical applications and bioaerosol sensing systems. Projects like Air DNA Sampling and Mechanical Analysis of 3D Printing Resins highlight his interdisciplinary impact. Dr. Dimov has led or co-led 9 research projects, including EU-funded initiatives. His work emphasizes automated sample processing, high-fidelity biodetection, and exosome-based clinical applications. He has published extensively on centrifugal platforms, RNA purification, and lab-on-a-disc technologies.
