Michael A Osborne is Professor of Machine Learning at the University of Oxford and leads the Bayesian Exploration Lab . He serves as Director of the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems and co-directs the Oxford Martin AI Governance Initiative. His research focuses on Bayesian optimization, Gaussian processes, and probabilistic numerics with applications in quantum devices, battery modeling, and AI governance. Key Positions: Professor of Machine Learning, University of Oxford Official Fellow, Exeter College Co-founder of Mind Foundry Lead Researcher, Oxford Martin Programme on Technology and Employment Research Themes: Probabilistic modeling for quantum systems Uncertainty quantification in energy storage AI safety and societal impact analysis Automated experimental design Quantum device calibration Probabilistic numerical methods Technical Contributions: Bridging reality gap in quantum devices Efficient Bayesian quadrature techniques Personalized neurostimulation algorithms Automated measurement protocols Quantum-classical hybrid ML
Prof. Dr. Arwen Deuss is a full Professor at the Faculty of Geosciences, Utrecht University , specializing in Seismology . Her research focuses on mapping Earth's deep interior using global seismology, with particular emphasis on mantle discontinuities, core structure, and whole Earth oscillations. She integrates seismological data with mineral physics, geodynamic modeling, and geochemistry to understand planetary evolution. Key research areas: Earth's Deep Interior, Global Seismology, Mantle Discontinuities, Inner Core Anisotropy Teaches courses in Theoretical Seismology, Earth Systems, and Planetary Interior Structure Developed open-source tools like FrosPy for normal mode analysis Her recent work explores 3D mantle attenuation, tilted transverse isotropy in the inner core, and seismic wave coupling. She leads projects connecting seismic tomography with geodynamic processes and maintains active collaborations in international seismological research.
Prof. Dr. Frederik Tilmann is a leading seismologist at the GFZ German Research Centre for Geosciences (Section 2.4 Seismology) and a professor at the Freie Universität Berlin . His work focuses on seismic waveform analysis to understand geodynamic processes in subduction zones and continental collisions. Current affiliations: Head of Seismology Section, GFZ Potsdam University Professor, Freie Universität Berlin Research interests include: Earthquake source characterization Seismic tomography methods Mantle dynamics and lithospheric deformation Machine learning applications in seismic data analysis Volcano-seismic monitoring Ocean bottom seismology techniques Recent publications highlight advancements in: Full waveform inversion for mantle dynamics Machine learning for seismic phase picking Anisotropy studies in Alpine and Himalayan regions Subduction zone microseismicity analysis Volcano-induced landslide detection Scientific awards include: Feodor-Lynen Fellowship (Humboldt Foundation) Trinity Hall College Staff Fellowship Multiple citations in high-impact journals Collaborative work spans global seismic infrastructure projects like SMART cables, the Collaborative Seismic Earth Model, and the AlpArray network. His methodology innovations in shear wave splitting and depth phase picking have become standards in computational seismology.
Andrea Ianiro is a Full Professor in the Aerospace Engineering Department at Universidad Carlos III de Madrid (UC3M), where he leads research in fluid dynamics, turbulence, and heat transfer. His work bridges experimental techniques and machine learning applications for flow analysis and control. He serves as Associate Editor of the International Journal of Heat and Mass Transfer (2025-2028) and directs the EFM Lab (Experimental Fluid Mechanics Laboratory) at UC3M. Professor Ianiro's research focuses on turbulence characterization, boundary layer flows, and the application of machine learning to fluid mechanics problems. His work spans experimental techniques including Particle Image Velocimetry (PIV), infrared thermography, and advanced data processing methods. Recent research emphasizes data-driven approaches for flow field reconstruction, turbulence control, and heat transfer optimization in wall-bounded flows. His projects often combine theoretical, experimental, and computational approaches to address complex fluid mechanics challenges. The analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional fluid mechanics. His work increasingly focuses on using deep learning techniques (particularly CNNs and GANs) for flow field prediction from limited measurements, developing meshless computational methods for flow analysis, and applying optimization techniques (including genetic algorithms) to heat transfer enhancement. His research maintains a strong experimental foundation while embracing data-driven approaches to tackle turbulence modeling challenges. Associate Editor of the International Journal of Heat and Mass Transfer (2025-2028) Professor Ianiro leads multiple significant research projects including SPANDRELS (SParse AND paRsimonious Event-based fLow Sensing, 2025-2030), HumanIC (Human-Centric Indoor Climate for Healthcare Facilities, 2024-2027), and EXCALIBUR (Extraction of machine learning strategies for turbulent flow control, 2023-2026). His work has attracted funding from the European Commission, Spanish National Research Agency, and industry partners including Airbus. He has supervised numerous theses on topics including AI-based sensing of turbulent flows, convective heat transfer control, and turbulent boundary layers. At UC3M, Professor Ianiro directs the Experimental Fluid Mechanics Laboratory (EFM Lab), which focuses on advanced measurement techniques for fluid flow and heat transfer characterization. The lab specializes in PIV/PTV techniques, infrared thermography, and the development of novel experimental approaches for turbulence research. Current research directions include machine learning applications for flow field reconstruction, plasma-based flow control, and heat transfer optimization in complex flow configurations.
David A. Hammer is the J. Carlton Ward, Jr., Professor of Nuclear Energy Engineering and Professor of Electrical and Computer Engineering at Cornell University's College of Engineering. He has been a faculty member since 1977 and has held visiting positions at Imperial College London, Applied Materials, Inc., and the Paris Observatory. His work bridges nuclear engineering, plasma physics, and electromagnetics. His research focuses on high energy density plasmas generated by pulsed power systems, particularly through wire explosions, X-pinches, and gas-puff Z-pinches. Key areas include inertial confinement fusion, magneto-Rayleigh-Taylor instabilities, and plasma diagnostics using visible and X-ray spectroscopy, laser-based methods, and electro-optical instruments. He also explores the application of X-pinch radiation for biomedical radiography. His recent publications reveal a strong emphasis on Z-pinch and hybrid X-pinch dynamics, plasma turbulence, magnetic field diagnostics using Faraday rotation and Zeeman splitting, and the development of advanced imaging and spectroscopic techniques. His work frequently involves the COBRA pulsed-power generator and addresses fundamental questions in plasma stability, implosion dynamics, and radiative collapse. Distinguished Career Award, Fusion Power Associates Board of Directors (2018) Cornell College of Engineering Teaching Award (2006, 1998) Cornell IEEE Professor of the Year Award (2006) McCormack Advising Award (2005) IEEE Plasma Science and Applications Committee Award (2004) Hammer has advised numerous graduate students and led experimental campaigns involving plasma diagnostics, liner implosions, and laboratory astrophysics. His work is supported by grants from agencies interested in fusion energy, plasma science, and advanced diagnostics. He has developed innovative platforms, including 3D-printed plasma loads, to study turbulent plasma jets and magnetization. His lab at Cornell is a key facility for high-energy-density plasma research. He leads a research group focused on plasma diagnostics and pulsed power experiments, operating the COBRA generator and developing novel measurement techniques. His team investigates plasma instabilities, magnetic field generation, and the transition from radial implosions to collimated jets, with implications for both fusion and astrophysics.
Teemu Turunen-Saaresti is a Tenured Professor at the School of Energy Systems , LUT University , Lappeenranta, Finland. His research focuses on energy technology, particularly supercritical CO2 cycles, Organic Rankine Cycles (ORC), turbomachinery, and heat pump design. PhD in Energy and Environmental Technology (2004), Lappeenranta University of Technology MSc in Energy and Environmental Technology (2001), Lappeenranta University of Technology His work spans Supercritical CO2 Power Cycles , Organic Rankine Cycle Systems , Turbomachinery Design , and Non-Equilibrium Condensation Modeling . Recent studies include printed circuit heat exchangers for transcritical cycles, high-temperature ORC thermal inertia, and centrifugal compressor design for large-scale CO2 heat pumps. Publications highlight trends in sCO2 Turbines , Tip Clearance Effects , and Multiphase Flow Simulation . Funding from the Academy of Finland and Business Finland supports his research on computational/experimental condensing flows, small-scale compressors, and green shipping energy solutions. He collaborates with international teams on projects like the International Wet Steam Modeling Project , contributing to guidelines for high-temperature heat pumps (IEA HPT Annex 58) and advancements in hydrogen compression strategies.
Dr. Liang Cui is an Associate Professor at the University of Surrey , affiliated with the School of Sustainability, Civil and Environmental Engineering and Institute for Sustainability . With a PhD from University College Dublin (2006) and BE (1st honor) from Tsinghua University (2002) , his career spans geotechnical research and education since joining Surrey in 2009. Key roles: Undergraduate Programme Leader (2020-2022, 2023-on), MSc Programme Leader for Advanced Geotechnical/Civil/Structural Engineering (2022-2023) Professional memberships: Chartered Engineer (CEng), Member of Institution of Civil Engineers (MICE), Fellow of Higher Education Academy (FHEA) His primary research focuses on numerical modeling (DEM/FEM) for geotechnical applications including offshore wind foundations , geothermal energy systems , methane hydrate exploitation , and extra-terrestrial soil mechanics . Secondary interests involve material characterization of polymeric foams , porous media , and biological tissues . Recent 15 publications (2023-2025) demonstrate expertise in soil-structure interaction for renewable energy infrastructure, thermal feedback in groundwater heat pumps, and hypothesis-driven DEM simulations for lunar/martian environments. Collaborative projects span institutions including Tsinghua University , University of Bristol , and Indian Institute of Technology Bhubaneswar . Scientific Awards: Sustainability Fellow (University of Surrey, 2023) Chartered Engineer (CEng) and MICE FHEA for educational contributions Dr. Cui supervises 7 postgraduate researchers and contributes to teaching modules in soil mechanics and energy geotechnics. His work addresses challenges in hybrid marine energy systems , needleless drug delivery , and seismic resilience of critical infrastructure.
Zigong Xu is a Postdoctoral Scholar Research Associate in Physics at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics, and Astronomy. His research focuses on solar energetic particles (SEPs), heliospheric physics, and cosmic ray dynamics. His work leverages data from missions like Solar Orbiter, Parker Solar Probe, and Chang’E-4 to study particle acceleration mechanisms, interplanetary shock dynamics, and the propagation of energetic particles in the solar environment. His research interests span solar flares, coronal mass ejection interactions, and the interplay between solar eruptions and the Earth-Moon radiation environment. He has contributed to understanding phenomena such as inverse velocity dispersion in SEPs, cosmic ray cavities in near-Earth space, and the composition variations of 3He-rich SEP events. Collaborations with multi-spacecraft missions highlight his expertise in analyzing particle data across diverse heliospheric distances. Zigong has explored topics including galactic cosmic ray shielding on the lunar surface, thermodynamic properties of solar protons, and the role of coronal shocks in particle acceleration. His studies often involve advanced statistical methods and comparative analyses of observations from instruments like EPT and HET aboard Solar Orbiter, and ISOIS on Parker Solar Probe. No formal awards or grants are explicitly mentioned, though his extensive publication record reflects active engagement in the field. He collaborates with international teams on missions such as Chang’E-4’s Lunar Lander Neutron and Dosimetry (LND) experiment, advancing lunar surface radiation studies.
Lina von Sydow is a Professor in Computational Science at Uppsala University's Department of Information Technology. She serves as Section Dean for the Mathematical-Computer Science Section since July 2023. Her academic journey includes becoming an Associate Professor in 2000, Senior Lecturer since 1997, and leading the Department of Information Technology from 2018 to 2023. PhD in Domain Decomposition Methods (1995, Uppsala University) Postdoctoral Fellow at Oxford University (1996-1997) Her research spans computational science with dual focuses on Computational Finance and Ice Sheet Modeling . In finance, she develops numerical methods for option pricing using PDEs, radial basis functions, and stochastic volatility models. In climate science, she contributes to ice sheet dynamics through full Stokes models and adaptive time-stepping approaches, particularly in simulating grounding line migration. Recent publications (2025) address gender disparities in IT education, including comparative analysis of admission trends and intervention studies to boost female enrollment. Earlier works (2020-2015) focus on high-order finite difference methods for financial derivatives, BENCHOP benchmarking projects, and preconditioning techniques for PDEs. Scientific awards include Excellent Teacher (2013) She actively collaborates on educational reforms, co-authoring studies like Gender-aware course reform in Scientific Computing (2013). Her leadership roles include Head of Department (2018-2023) and Section Dean (2023-present), influencing academic governance and interdisciplinary research. Labs and teams: Works with Uppsala University's Computational Science group, Elmer/ICE project collaborators (e.g., Per Lötstedt, Gong Cheng), and international partners in numerical finance and climate modeling.
Gioele La Manno is an Assistant Professor (tenure track) at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Life Sciences (SV) and the Department of Life Sciences Engineering. He leads the Unité du Prof. La Manno (UPLAMANNO) and holds roles in teaching and doctoral education within the SSV-ENS and Programme doctoral Biologie computationnelle et quantitative . His research focuses on single-cell genomics, cellular heterogeneity, and systems biology approaches to study developmental and neural systems. La Manno’s educational background includes a strong foundation in computational and quantitative biology, reflected in his teaching of courses like Biological data science I: statistical learning and Scientific literature analysis in neuroscience . His lab explores interdisciplinary methods combining genomics, epigenomics, and machine learning to dissect cell fate decisions and tissue organization. He actively contributes to doctoral programs, supervising over a dozen PhD students and advising theses on topics ranging from nervous system development to drug sensitivity profiling. His work bridges basic research with translational applications, such as clinically compliant cell cryopreservation for regenerative medicine. La Manno collaborates across EPFL’s Life Sciences Engineering ecosystem, leveraging state-of-the-art technologies like mass spectrometry imaging and single-cell RNA velocity modeling. His lab’s recent studies address lipidome dynamics, glial diversity in the CNS, and the molecular regulation of midbrain dopaminergic neurons.
Diana Valencia is an Associate Professor in the Department of Physical and Environmental Sciences at the University of Toronto, with cross-appointments in the Department of Astronomy. She holds positions at both the University of Toronto Scarborough (UTSC) and the St. George campus, focusing her research on the characterization of low-mass exoplanets, particularly super-Earths and mini-Neptunes. Her work aims to determine whether planets with masses between 1-15 Earth masses are scaled-up versions of Earth or scaled-down versions of Neptune in terms of composition, evolution, and physical properties. Ph.D. from Harvard University, Department of Earth and Planetary Sciences (2008) M.Sc. from University of Toronto, Physics Department (2002) B.Sc. (Honours) from University of Toronto, Physics Department (2001) Dr. Valencia's research interests center on the chemical composition and interior structure of super-Earths and mini-Neptunes, formation processes and chemistry of rocky planets, thermal evolution and interior dynamics of rocky and icy planets, and planetary habitability. Her work combines theoretical modeling with observational constraints to understand how planets form, evolve, and develop the properties we observe. She particularly focuses on connecting stellar composition to planetary characteristics and using statistical approaches to infer interior structures from mass-radius relationships. Analysis of her recent publications shows a strong focus on connecting stellar composition to planetary characteristics, with increasing use of advanced statistical methods and machine learning techniques to infer interior structures. Her research spans theoretical modeling of planetary interiors, observational constraints from missions like JWST, and development of instrumentation for exoplanet characterization. The trend shows growing emphasis on understanding the diversity of rocky exoplanets and their formation pathways. Paolo Farinella 2021 Prize awarded by the European Planetary Society (shared with Lena Noack) Dr. Valencia actively mentors PhD students, currently supervising Nathan Winsor (Habitability of M-Dwarf Stars), Jen Scora (Compositional Outcome of Rocky Planet Formation), Bo Peng (Volatile Acquisition of Rocky Planetary Bodies), and Mykhaylo Plotnykov (Statistical Inferences of the Interior Structure and Composition of Exoplanets). Her research group spans a wide variety of topics related to planetary formation and evolution, with particular emphasis on understanding how planets develop their observed properties. She has secured significant research funding, including NASA Sagan Postdoctoral Fellowship and Henri Poincare Postdoctoral Fellowship. Dr. Valencia leads a research group focused on understanding planetary formation and evolution, with projects ranging from statistical inferences of interior structure to thermo-chemical evolution of planetesimals. She has also created the Astro4Kids initiative, providing free astronomy education to children worldwide, demonstrating her commitment to public outreach and science communication.
Jason E. Ybarra serves as a Teaching Assistant Professor and Director of the WVU Planetarium and Observatory at West Virginia University. His academic home resides within the Astronomy and Astrophysics department, where he integrates observational astronomy with innovative educational practices. As coordinator for the Sloan Digital Sky Survey (SDSS-V) Faculty and Student Team (FAST) program, he bridges research infrastructure with undergraduate development. Dr. Ybarra's educational background includes: Ph.D. in Astronomy from University of Florida (NASA GSRP Fellow) M.S. in Physics from San Francisco State University (co-discoverer of precessing jet evidence) His research spans galactic star formation in regions like the Rosette Molecular Cloud, protostellar outflow dynamics , and physics education with special focus on neurodiversity inclusion . Historical astronomy investigations feature prominently, particularly in rediscovering early variable star observations. His educational philosophy emphasizes neurodivergent accessibility, reflected in publications on inclusive STEM pedagogy. Recent publications reveal interdisciplinary trends merging astronomical research with computational methods (CNN analysis of historical records) and social sciences (neurodiversity studies). The Sloan Digital Sky Survey serves as a unifying thread across observational, educational, and historical investigations. Scientific recognition includes: NASA Graduate Student Researchers Program (GSRP) fellowship NASA Florida Space Grant Consortium fellowship As an educator, Dr. Ybarra has taught across diverse settings from Davidson College to Drepung Loseling Monastery in India through the Emory-Tibet Science Initiative. His FAST program coordination creates sustained undergraduate research pathways within SDSS-V. Current projects integrate planetarium outreach with neurodiversity-aware instructional design. The WVU Planetarium and Observatory serves as his primary research and educational hub, while SDSS-V provides large-scale collaborative infrastructure. His work uniquely connects historical astronomical practices with modern neuroinclusive education frameworks.
Associate Professor Christopher Wensrich is a faculty member in the School of Engineering at the University of Newcastle, Australia, specializing in Mechanical Engineering. He has a strong background in applied mechanics from both computational and experimental perspectives, with significant expertise in granular mechanics, neutron diffraction strain measurement, and Bragg-edge transmission strain tomography. Education: PhD, University of Newcastle Bachelor of Mathematics, University of Newcastle Bachelor of Engineering, University of Newcastle Professor Wensrich's research focuses on several interconnected areas within mechanical engineering and materials science. His primary expertise lies in granular mechanics, spanning from micromechanics and homogenization of granular systems to analytical modeling of granular dynamics (particularly the silo quaking problem) and computational modeling using the Discrete Element Method (DEM). He is also a pioneer in applying neutron diffraction strain scanning techniques to granular systems. In the broader field of applied mechanics, he has made significant contributions to neutron diffraction-based strain measurement, including breakthroughs in Bragg-edge Transmission Strain Tomography, where he demonstrated the world's first practical application outside of simple axisymmetric systems. His publication record demonstrates a consistent focus on developing and applying advanced techniques for strain measurement and reconstruction in granular and composite materials. His recent work has centered on tomographic reconstruction methods using neutron diffraction, with particular emphasis on Bragg-edge techniques for 2D and 3D strain field reconstruction. His research bridges theoretical mathematics, computational methods, and experimental validation, creating a robust framework for non-destructive stress measurement in complex materials. Professional Recognition: President of the Australian Neutron Beam User Group (ANBUG) since December 2022 Member of the ACNS Program Advisory Team at ANSTO (Australian Nuclear Science and Technology Organisation) since March 2019 Visiting Fellow at Clare Hall College, Cambridge University (January-June 2023) Visiting Researcher at Isaac Newton Institute for Mathematical Sciences (January-June 2023) Professor Wensrich has secured substantial research funding, with a total of $5,478,793 across 42 grants. His funding portfolio includes projects from the Australian Research Council (ARC), ANSTO, and international partners like Oakridge National Laboratory and Japan Proton Accelerator Research Complex. He has successfully supervised 11 PhD and Masters students to completion, with research topics spanning granular mechanics, conveyor systems, and neutron strain tomography. His current research involves collaborations with institutions worldwide, focusing on advanced strain measurement techniques and their application to complex material systems.
Kristopher Klein is an Associate Professor at the Lunar and Planetary Laboratory (LPL), University of Arizona, within the Department of Planetary Sciences, College of Science. He earned his Ph.D. from the University of Iowa in 2013 and has been a faculty member at LPL since 2017. His research focuses on theoretical and computational plasma physics in the context of solar and heliospheric systems. Education: Ph.D., 2013, University of Iowa Years with LPL: 2017–present Dr. Klein's research centers on fundamental plasma phenomena in the heliosphere, particularly turbulent heating, energization mechanisms, and departure from thermodynamic equilibrium in collisionless plasmas like the solar wind. He employs analytic theory, numerical simulations (e.g., AstroGK, HVM, gkeyll), and spacecraft data from missions such as Parker Solar Probe and HelioSwarm. He is a co-developer of the Arbitrary Linear Plasma Solver (ALPS), an open-source tool for dispersion analysis. His recent publications (2019–2025) reveal a strong focus on plasma turbulence, wave-particle interactions, kinetic instabilities, and solar wind heating mechanisms. The work frequently combines Parker Solar Probe observations with theoretical modeling to understand energy transfer at kinetic scales. Themes include ion and electron heating, stochastic heating, cyclotron damping, and multi-scale turbulence characterization. Scientific Awards: 2024 AAS Harvey Prize 2022 Landau-Spitzer Award for Outstanding Contributions to Plasma Physics Dr. Klein advises graduate students including Niranjana Shankarappa and Waverly Gorman, with former student Teddy Broeren (Ph.D., 2023). He leads major NASA-funded research projects related to the HelioSwarm and Parker Solar Probe missions. His involvement includes being Deputy Principal Investigator for HelioSwarm and Co-Investigator and Project Scientist for the SWEAP instrument on Parker Solar Probe. These roles involve significant grant leadership and collaboration with interdisciplinary teams. He is actively involved in instrumentation and data analysis, particularly through quasi-thermal noise spectroscopy and wave-particle correlation techniques. His work bridges theory, simulation, and observational data to advance understanding of space plasma physics.
Nassim Bozorgnia is an Assistant Professor in the Department of Physics at the University of Alberta and a Tier 2 Canada Research Chair in Astroparticle Physics. He specializes in theoretical astroparticle physics and dark matter phenomenology, focusing on dark matter's particle nature and its implications for direct/indirect detection experiments. His research uses cosmological simulations and observational data to study dark matter distribution in galaxies like the Milky Way. Education: Ph.D. in Physics, UCLA (2012), Dissertation: 'Ion Channeling in Direct Dark Matter Detection' M.S. in Physics, San Francisco State University (2006) B.S. in Physics, Kharazmi University (2004) Research Interests: His work explores dark matter interactions, galactic distribution modeling, and astroparticle physics. Key areas include: Dark matter direct detection using crystal detectors Impact of Large Magellanic Cloud on dark matter signals Velocity-dependent annihilation radiation Dark matter distribution correlations with stellar kinematics Grants & Awards: Canada Research Chair (2022–2027) Natural Sciences and Engineering Research Council (NSERC) Discovery Grant (2020–2025) McDonald Institute Highly Qualified Personnel Pooled Resources (2021–2023) Recipient of multiple fellowships including UCLA's Cota Robles Fellowship Teaching & Supervision: Currently supervising 6 Ph.D./M.S. students and mentoring EXPLORE program participants Teaches courses like 'Physical Cosmology' and 'Dark Matter: from cosmology to underground searches' Developed the EXPLORE international research collaboration program Labs & Collaborations: Active in collaborations like the EXPLORE program and international initiatives such as GRAPPA and IPPP. His work integrates cosmological simulations (EAGLE, APOSTLE) with observational datasets to refine dark matter models.
