Luc Rouppe van der Voort is a Professor and Head of the Department of Theoretical Astrophysics at the University of Oslo since 2025. He serves as Principal Investigator for the Rosseland Centre for Solar Physics (RoCS) under the Norwegian Centre of Excellence (SFF) program until 2027. His academic career at the department spans from Postdoctoral Fellow (2003-2007) to Researcher (2007-2008), Associate Professor (2009-2013), and Professor (2013-2025). He earned his PhD in Astrophysics from Stockholm University (2003) after a PhD fellowship at the Institute for Solar Physics of the Royal Academy of Sciences, and holds an MSc in Astrophysics from Utrecht University (1997). His research focuses on Solar Physics , particularly high-resolution observations of the solar chromosphere, photosphere, and transition region. Key areas include magnetic reconnection (e.g., Ellerman bombs, UV bursts), spicules/downflows , sunspot dynamics , and coronal heating mechanisms . He utilizes data from ground-based telescopes like the Swedish Solar Telescope (SST) on La Palma and space missions such as Hinode , IRIS , Solar Orbiter , and Solar Dynamics Observatory . Recent publications (2023-2025) highlight his work on neural field applications to spectropolarimetric inversions, spectral resolution effects in solar diagnostics, and magnetic topology of quiet-Sun Ellerman bombs. Collaborative studies with teams across Europe and Japan emphasize multi-wavelength analysis and 3D simulations to unravel energy transport and atmospheric coupling. As Deputy Head (2016-2024) and council member of the Nordic Optical Telescope (2015-present), he contributes to leadership and observational infrastructure in solar physics. His work bridges observational datasets with computational models, advancing understanding of solar atmospheric dynamics and heating processes.
Professor Niall English is a leading academic at University College Dublin's College of Engineering & Architecture, specifically within the School of Chemical & Bioprocess Engineering. With over 20 years of dedicated research in gas hydrate systems, his work bridges fundamental science and industrial applications, particularly in climate change mitigation and wastewater treatment innovation. His research focuses on gas hydrate kinetics, methane emissions, and microbial regulation of hydrate stability , with groundbreaking contributions to understanding the relationship between Earth's magnetic field reversals and historical mass extinction events (the 'Belfast hypothesis'). Key interests include: Nanobubble engineering for industrial wastewater treatment Electromagnetic field effects on chemical processes Microbial-peptide regulation of gas hydrates Climate change implications of Arctic hydrate destabilization Professor English's recent publications (2024-2025) reveal a strong trend toward environmentally sustainable applications , particularly electric-field nanobubble technologies for wastewater treatment, biogas upgrading, and carbon capture. His work demonstrates significant cross-disciplinary integration of computational chemistry, environmental engineering, and geophysics. He received the Leverhulme Trust Research Project Award (2021-2023) for 'Exploring the potential for biocatalytic gas-hydrate formation (BioGHF)', reflecting the international recognition of his work. His commercialization efforts include two spin-out companies: Aqua-B (CEO) for nanobubble wastewater treatment and BioSimulytics for pharmaceutical crystal-structure prediction software. Professor English actively collaborates with Queen's University Belfast microbiologist Professor Chris Allen, filing joint patents for regulating gas hydrate growth using proteins and peptide sequences. Their research targets the $1 trillion wastewater treatment industry, aiming to solve challenges in processing heavily polluted water through hydrate-based separation techniques.
Dr. Edwin Moore is Professor and Head of the Department of Cellular and Physiological Sciences at the University of British Columbia Faculty of Medicine. His research focuses on excitation-contraction coupling mechanisms in cardiac and smooth muscle cells. B.Sc. and M.Sc. in Physiology from the University of Toronto Ph.D. in Pharmacology from the Mayo Clinic Research Interests: Dr. Moore's laboratory investigates the type-2 cardiac ryanodine receptor (RyR2) that regulate cardiac contractile force through calcium release dynamics. His team examines RyR2 position/function in normal and diseased tissue using: Transmission electron microscopy Electron tomography 3D superresolution immunofluorescence Transgenic mouse models Ca 2+ spark/transient analyses Biochemical approaches Scientific Collaborations: The lab collaborates with Dr. Keng Chou (Chemistry Dept.) for dSTORM system development and is part of UBC's Cardiovascular Research Group . Current projects include: Investigating RyR2 variants' pathogenicity using iPSC-derived cardiomyocytes Studying dynamic RyR2 interactions through post-translational modifications Developing novel correlative microscopy techniques Lab Members: The interdisciplinary team includes Dr. Parisa Asghari (Research Associate), Dr. David Scriven (Research Associate), and Saif Dababneh (MD/PhD student).
Professor David Sims-Williams is a faculty member at the Department of Engineering within the Faculty of Science at Durham University . His research focuses on Aerodynamic Unsteadiness , Road and Racing Car Aerodynamics , and the Development of Advanced Wind Tunnel Instrumentation and Analyses . He is actively involved in experimental and computational studies of fluid dynamics, vehicle aerodynamics, and aeroacoustic noise. Academic Rank: Professor Research Keywords: Aerodynamics, Fluid Mechanics, Automotive Engineering, Computational Fluid Dynamics, Noise Control His recent work includes studies on flow-induced vibration of polygonal cylinders , piezoelectric actuator integration in wind turbines , and beamforming techniques for noise source localisation . He frequently publishes in journals like SAE International Journal of Passenger Vehicle Systems , Journal of Fluids and Structures , and Physics of Fluids . His collaborations span fluid-structure interactions, transient flow analysis, and automotive noise reduction strategies. He has presented at major conferences including the International Vehicle Aerodynamics Conference , UK Fluids Conference , and SAE World Congress . His methodologies combine large eddy simulations , wind tunnel experiments , and machine learning for flow visualisation .
James Friend is a Professor at the University of California, San Diego, holding dual appointments in the Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering and the Department of Surgery, School of Medicine. He serves as the Stanford S. and Beverly P. Penner Endowed Chair in Engineering and leads the Medically Advanced Devices Laboratory in the Center for Medical Devices at UCSD. Prior to joining UCSD in November 2014, he spent 14 years as a faculty member in Japan and Australia, where he founded micro/nanofabrication facilities including the $45 million Melbourne Centre for Nanofabrication and served as inaugural director of RMIT University's $35 million MicroNano Research Facility. Jacobs School of Engineering, Department of Mechanical and Aerospace Engineering School of Medicine, Department of Surgery Stanford S. and Beverly P. Penner Endowed Chair in Engineering Director, Medically Advanced Devices Laboratory Professor Friend's research focuses on exploring and exploiting acoustic phenomena at small scales, primarily for biomedical applications. His work spans acoustofluidics, medical device development, micro/nanofabrication, and the application of surface acoustic waves for diagnostics, drug delivery, and therapeutic interventions. He has pioneered techniques for ultrasound neuromodulation, point-of-care diagnostics, and microscale fluid manipulation with applications in neurology, oncology, and pediatrics. His research bridges fundamental acoustic science with practical clinical solutions, emphasizing translational impact. His recent publications reveal a strong emphasis on advancing acoustofluidic technologies for biomedical applications. Key trends include developing point-of-care diagnostic platforms for neurodegenerative diseases, creating novel ultrasound-based neural modulation techniques, and engineering microscale propulsion systems. His work also explores fundamental aspects of acoustic wave behavior at micro and nanoscales, with applications ranging from cell manipulation to battery technology enhancement. The interdisciplinary nature of his research spans engineering, physics, neuroscience, and clinical medicine. AIAA Jefferson Goblet Student Paper Award and ASME Best Paper Award Multiple excellence awards from Monash Faculty of Engineering (2006, 2008, 2011) Future Leader award from Davos Future Summit (2008) Top 10 emerging scientific leader of Australia (2009) Top 50 papers of Applied Physics Letters past 50 years (2012) IEEE Carl Hellmuth Hertz Ultrasonics Award (2015) IEEE Fellow (2018) Highly cited author by Royal Society of Chemistry (2020) UCSD Distinguished Teaching Award (2021) Professor Friend currently supervises 7 PhD students and 1 post-doc in his Medically Advanced Devices Laboratory. Over his career, he has successfully completed 37 postgraduate students and supervised 23 postdoctoral researchers. His research has been supported by over $29 million in competitive grant funding, reflecting the significance and impact of his work. His laboratory operates at the intersection of engineering and medicine, with strong collaborations across disciplines to translate fundamental discoveries into practical medical solutions. The Medically Advanced Devices Laboratory, which Professor Friend leads, focuses on developing innovative medical devices that leverage acoustic phenomena. The lab has developed handheld acoustofluidic circuits, novel centrifugation and separation techniques using omnidirectional spiral surface acoustic waves, and acoustogeometric streaming technologies. Recent projects include superfast battery recharging systems using surface acoustic waves and point-of-care diagnostic platforms for Alzheimer's disease detection. The laboratory maintains strong industry and clinical partnerships to accelerate the translation of research into practical medical applications.
Musandji Fuamba is a Full Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal, where he leads the Experimental and Digital Water Flow Engineering Group (GENIE EAU). His research focuses on sustainable water management, hydraulic infrastructure, and climate change impacts on hydrological systems. He holds a B.Eng. from Kinshasa and M.Sc.A./Ph.D. from KU Leuven. Research Interests: Hydraulic engineering, hydrological modeling, water resources optimization, climate adaptation in urban drainage, and hydroelectric systems. His work integrates experimental and computational approaches to address water security challenges in diverse environments—from Canadian permafrost regions to African river basins. Recent Publications emphasize climate change impacts on hydropower potential and watershed dynamics, utilizing multi-model frameworks to assess vulnerabilities in data-scarce regions like the Congo and Kasai River basins. Key themes include renewable energy resilience, flood/drought prediction, and infrastructure adaptation strategies. Awards: King Charles III Coronation Medal (2024) for contributions to engineering and public service Supervision & Leadership: Actively advises doctoral/master's candidates on topics ranging from transient flow modeling to drainage network optimization. Manages a 400,000-liter hydraulic laboratory for experimental studies and collaborates on international projects (e.g., Ivory Coast's infrastructure development).
Joseph Schindler, MD is a Professor of Neurology & Neurosurgery at Yale University School of Medicine. He serves as the Clinical Chief of the Division of Vascular Neurology, Director of the Yale New Haven Comprehensive Stroke Center, and Director of the Yale New Haven Telestroke Service. His clinical work focuses on acute stroke management, vascular neurology, and implementing innovative stroke care delivery systems across healthcare settings. Dr. Schindler completed his medical degree at Tufts University School of Medicine in 2001 and earned his BA from Tufts University in 1994. He completed his residency at Yale University School of Medicine between 2002-2005. His research interests center on ischemic stroke, neuroimaging, and stroke care systems with particular emphasis on health disparities, portable MRI technology for stroke evaluation, and optimizing stroke treatment pathways. His work examines how socioeconomic factors impact stroke outcomes and treatment delays, the application of novel imaging technologies at the bedside, and the intersection of stroke with other medical conditions including cardiovascular disease and infectious diseases like COVID-19. He has published extensively on topics ranging from TIA management protocols to neurological complications of viral infections. Analysis of Dr. Schindler's recent publications reveals a strong focus on translational stroke research with practical clinical applications. His work spans multiple domains including health services research examining care delivery models, technological innovation in neuroimaging, and investigation of health disparities in stroke outcomes. A significant portion of his recent work addresses the impact of social determinants of health on stroke care, reflecting growing recognition of these factors in neurological outcomes. Dr. Schindler has received recognition as a Connecticut Magazine Top Doc in both 2015 and 2016, highlighting his clinical excellence and contributions to patient care in the region. He actively collaborates with numerous researchers across Yale and beyond, with frequent co-authorship with colleagues including Lauren Sansing, Charles Wira, Kevin Sheth, Guido Falcone, and Nils Petersen. His research is supported through various clinical trials including studies on anticoagulation therapies, blood pressure management during stroke recovery, and innovative stroke detection technologies. As Clinical Chief of Vascular Neurology and Director of the Comprehensive Stroke Center, Dr. Schindler leads multidisciplinary teams focused on acute stroke intervention, prevention strategies, and quality improvement initiatives aimed at optimizing stroke care across the continuum from pre-hospital settings through rehabilitation.
Prof. Marcus Müller is a Professor of Theoretical Physics at the University of Göttingen's Faculty of Physics, Department of Theoretical Physics. His research employs advanced computational methods to investigate fundamental phenomena in polymer systems, soft matter, and biological membranes, with significant contributions to understanding non-equilibrium dynamics and self-assembly processes. His research portfolio spans: Polymer Physics : Dynamics of polymer melts, block copolymer self-assembly, and phase separation mechanisms Soft Matter Physics : Active matter systems, membrane biophysics, and dissipative structures Computational Physics : Development of specialized simulation techniques including peridynamic-enhanced Fourier spectral methods and slip-spring models Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on the interplay between processing conditions and nanostructure formation in block copolymers, with expanding applications to battery electrolytes and biological systems. Key trends include the investigation of non-equilibrium pathways in spinodal decomposition, membrane fission/fusion mechanisms, and reaction-driven organization in active liquids, demonstrating strong integration of theoretical modeling with experimental validation. No scientific awards were documented in the available source material. While specific advising relationships and grant details were not provided, his extensive publication record suggests active mentorship of graduate students in computational soft matter physics. The research direction indicates ongoing investigation of fundamental transport phenomena in polymeric systems with applications to energy storage and cellular biophysics. His work appears conducted within computational research groups at the Department of Theoretical Physics, focusing on molecular simulations and theoretical modeling of complex soft matter systems, with particular emphasis on membrane dynamics and polymer self-assembly under non-equilibrium conditions.
Professor John A Rogers is a leading academic in materials science and biomedical engineering, currently holding the Louis Simpson and Kimberly Querrey Professor position at Northwestern University . He is also the founding Director of the Querrey-Simpson Institute of Bioelectronics , with joint appointments in Biomedical Engineering, Mechanical Engineering, Electrical Engineering, Chemistry, and Neurological Surgery. His research spans bio-integrated electronics, flexible devices, and nanofabrication technologies. Education : BA/BS in Chemistry and Physics (University of Texas, 1989); SM in Physics and Chemistry (MIT, 1992); PhD in Physical Chemistry (MIT, 1995). Rogers’ work focuses on Soft, skin-like electronics for vital signs monitoring, Bioresorbable devices for cardiac and neural applications, Injectable optoelectronics in neuroscience, and 3D microsystems for biomedical research. His team pioneers stretchable silicon , transient electronics , and bio-inspired fabrication methods. Recent research trends include millimeter-scale pacemakers , wireless skin-interfaced systems , and closed-loop bio-optoelectronics . These innovations leverage flexible substrates , nanoscale thermocapillary flows , and soft lithography for unprecedented biocompatibility and functionality. Scientific Awards : Sigma Xi William Procter Prize (2023), IEEE Biomedical Engineering Award (2023), James Prize (2022), Guggenheim Fellowship (2021), MacArthur Fellowship (2009), and multiple academy fellowships. Rogers leads a multidisciplinary team and has co-authored over 1000 peer-reviewed papers, with more than 100 patented technologies commercialized through startups. His lab’s 3D electronic pericardium and skin-integrated microfluidics exemplify his commitment to translating fundamental science into clinical solutions.
Michał Wasik is a Researcher at the Division of Thermodynamics , Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology. His work focuses on numerical modeling of heat and mass transfer, drying processes, and computational fluid dynamics (CFD) using Ansys Fluent software. Office hours: Monday & Friday 10:00-11:00 Email: michal.wasik@itc.pw.edu.pl Research highlights include: Thermal extent analysis of industrial chimney outlet streams Heat-moisture transfer in porous building materials Optimization of photovoltaic-thermal (PVT) systems for geothermal applications He contributes to projects like DryWall (POIR.04.01.02-00-0099/16) and has published in journals such as Przemysł Chemiczny and Civil and Environmental Engineering Reports .
Onno Muller is a researcher at the Jülich Research Centre , affiliated with the Institute of Bio- and Geosciences (IBG), Plant Sciences (IBG-2) . His work focuses on non-invasive plant phenotyping and understanding plant-environment interactions to enhance sustainable agriculture and bioeconomy. His research integrates molecular, physiological, and ecological approaches to address food security, climate change mitigation, and resource efficiency. Key technologies include the Light-Induced Fluorescence Transient (LIFT) method for photosynthesis measurement and positioning systems like Fieldsnake and Fieldweasel for field-based phenotyping. Recent publications highlight his expertise in drought tolerance , agrivoltaics , elevated CO2 effects , and remote sensing across crops like wheat, soybean, and mungbean. Projects like CASS , Phenorob , and BreedFACE underscore his international collaboration.
Patrick Kelly is an Associate Professor in the School of Physics and Astronomy at the University of Minnesota, where he also serves as the MIfA Director of Graduate Studies. His office is located in John T. Tate Hall in Minneapolis. Dr. Kelly's research focuses on Supernova explosions , Gravitational lensing , SN host-galaxy environments , SN Ia cosmology , Stellar populations , Star formation , and Dark matter . His work has established him as a leading expert in using gravitational lensing to study distant supernovae and magnified stars. The fingerprint analysis of his research outputs shows strong emphasis on Supernovae Physics (100%), Lensing Keyphrases (63%), Galaxy Clusters Physics (58%), and Galaxies Keyphrases (53%). His recent publications reveal a strong trend toward utilizing the James Webb Space Telescope for groundbreaking discoveries in gravitational lensing and supernova cosmology. His team has identified more than 40 gravitationally magnified stars in distant galaxies and made the first measurement of the Hubble constant from a multiply imaged Type Ia Supernova using JWST data. His research bridges observational astronomy with cosmological theory, particularly in understanding dark matter distribution through lensing phenomena. Dr. Kelly leads multiple significant research projects including: Early Stars -- Properties of Lenses Stars at z~7 (NASA, 2025-2028) Reanalysis of the Core-Collapse Supernova Rate at Cosmic Noon in the Archival HST Imaging (NASA, 2025-2028) SNAP Survey for Strongly Lensed Supernovae and Magnified Stars (NASA, 2025-2028) Using TURBO to Resolve Shock Breakout from Supernovae (NSF, 2024-2027) He is an active member of the LSST Dark Energy Science Collaboration and WFIRST Science Investigation Team, contributing to major cosmological surveys. His research has been widely recognized, with numerous publications receiving significant attention across news outlets, social media, and academic platforms.
Péter Ekler is an Associate Professor at the Department of Automation and Applied Informatics , Budapest University of Technology and Economics (BME) , Hungary. He is affiliated with the Applied Mobile Research Group (AMORG) and the Applied Computer Science Group , focusing on cutting-edge research in AI, IoT, and mobile systems. Research Interests: Artificial Intelligence and Machine Learning Internet of Things (IoT) and Smart Cities Wireless Sensor Networks and Energy-Efficient Routing Network Coding and Mobile Peer-to-Peer Systems Blockchain and Distributed Systems Computer Vision and Sensor Data Analysis His recent work includes the development of AI-based thermal imaging systems, energy-aware IoT routing, and secure authentication mechanisms using JWT. He has published extensively on optimizing IoT performance, enhancing mobile streaming with network coding, and applying machine learning to real-world sensor data. Scientific Contributions: Published over 50 peer-reviewed articles from 2013 to 2023 Active on platforms like Google Scholar, Scopus, ResearchGate, and ResearcherID Research spans both technical systems and historical studies in science Contact & Affiliations: Email: Ekler.Peter@aut.bme.hu Location: Q.B226, Magyar tudósok krt. 2., Budapest 1117, Hungary Phone: +36 (1) 463-3702 LinkedIn: http://hu.linkedin.com/in/peterekler
Peter T.H. Pang is a Researcher in the Gravitational and Subatomic Physics (GRASP) group within the Physics Department at the Faculty of Science, Utrecht University. His work focuses on gravitational wave astronomy, neutron star physics, and multimessenger astrophysics, contributing significantly to the LIGO-Virgo-KAGRA scientific collaborations. Dr. Pang's research interests span gravitational wave data analysis, neutron star equation of state, multimessenger astronomy, nuclear physics constraints from gravitational wave observations, and gravitational wave detector characterization. His work often involves developing and applying Bayesian frameworks to extract physical information from gravitational wave signals, particularly related to binary neutron star mergers and their electromagnetic counterparts. Analysis of his recent publications reveals a strong emphasis on connecting gravitational wave observations with nuclear physics through the study of neutron star properties. His research frequently addresses the equation of state of dense matter, parameter estimation techniques for gravitational wave signals, and the development of frameworks that combine nuclear physics with multimessenger astrophysical observations. His work contributes to understanding compact object mergers, gravitational wave detector performance, and cosmological measurements using gravitational waves as standard sirens. Dr. Pang is an active contributor to major gravitational wave collaborations, particularly the LIGO Scientific Collaboration, Virgo Collaboration, and KAGRA Collaboration. His research demonstrates strong interdisciplinary connections between nuclear physics, astrophysics, and gravitational wave astronomy, with numerous publications in high-impact journals including Physical Review D, Physical Review X, Nature Communications, and Astrophysical Journal.
Dr. ir. Taco Broerse is a Researcher at Utrecht University since 2019, affiliated with the Faculty of Geosciences and the Structural Geology & Electron Microscopy group . Prior, he held postdoctoral and PhD positions at Delft University of Technology (2007–2015), earning an MSc in Aerospace Engineering (2007) and a PhD in Megathrust Earthquakes: Study of Fault Slip and Stress Relaxation Using Satellite Gravity Observations (2014). Geophysics Geodynamics Analogue Modelling Subduction Zones Lithosphere Rheology Earthquake Cycle Broerse's research integrates geodetic observations (GNSS, InSAR, satellite gravity) with geophysical models and analogue experiments to study Earth's surface deformation, particularly around subduction zones and deglaciated regions. His work addresses how time-dependent upper mantle strength influences slip deficit estimation and surface deformation rates , with applications to megathrust earthquake cycles and Antarctic ice mass balance. His 15 most recent articles span topics like slow slip events in Sulawesi, strain partitioning in fault systems, and geodetic signatures of subduction zones. These works emphasize subduction dynamics , lithosphere tearing , and satellite geodesy , reflecting his focus on nonlinear rheology and tectonic processes. Broerse's current affiliations include Utrecht University and a visiting researcher role at Delft University of Technology . His methodologies combine digital imagery analysis for strain mapping and state space filtering to reconcile satellite data with models. Collaborative projects involve STEPs (Subduction-Transform Edge Propagators) , megathrust cycles , and Antarctic ice dynamics .
