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Thomas Faulkner is an Associate Professor in the Department of Physics at the University of Illinois at Urbana-Champaign, where he has been a faculty member since 2014. His research bridges condensed matter physics, high energy physics, and quantum information science through the framework of holographic duality (AdS/CFT correspondence), exploring connections between quantum field theories and gravitational theories. Dr. Faulkner received his BSc in Physics from the University of Melbourne in 2003 and his PhD from MIT in 2009 under Hong Liu and Krishna Rajagopal. He held postdoctoral positions at the Kavli Institute for Theoretical Physics (2009-2012) and the Institute for Advanced Study in Princeton (2012-2013) before joining the Illinois faculty. His primary research focuses on three interconnected areas: entanglement entropy as a tool to study quantum phases and gravity; string-inspired models of strongly correlated phenomena including non-Fermi liquids and quantum criticality; and holographic approaches to QCD under extreme conditions. His work leverages theoretical tools from both condensed matter and string theory communities to address fundamental questions in quantum gravity and many-body physics. Dr. Faulkner's publication record shows an evolving research trajectory from early work on strange metal transport and QCD applications toward increasingly sophisticated investigations of entanglement structure, quantum information aspects of holography, and fundamental constraints on quantum field theories. His recent work demonstrates deep connections between quantum information theory, gravitational physics, and condensed matter phenomena. DOE Early Career Award (2018) DARPA Young Faculty Award (2015) Dr. Faulkner has taught a comprehensive range of physics courses from undergraduate College Physics to advanced graduate-level field theory courses. His research program receives significant external funding, supporting his investigations into the quantum structure of spacetime and its connections to condensed matter phenomena. He participates in a vibrant research ecosystem exploring the quantum information foundations of spacetime geometry, contributing to collaborative efforts that are reshaping our understanding of the relationship between quantum mechanics and gravity.

• Condensed Matter Physics
• High Energy Physics
• Quantum Information Science
• +5 more

N.K. Anand is a Distinguished Professor of Mechanical Engineering at Texas A&M University, holding the James J. Cain III Regents Professorship. He leads research in advanced computational methods and thermal-hydraulic systems, with affiliations to Multidisciplinary Engineering and Nuclear Engineering programs. His work focuses on physics-informed machine learning, finite volume methods, and aerosol transport in nuclear reactor contexts. Education: PhD (Mechanical Engineering, Purdue University, 1983), M.S. (Kansas State University, 1979), and B.E. (Bangalore University, 1978). Awards include the ASME James Harry Potter Gold Medal (2020) and multiple teaching/administrative excellence awards from Texas A&M. Research emphasizes fluid dynamics modeling (e.g., PINNs for periodic flows, turbulent deposition studies), heat pipe systems, and nuclear reactor thermal-hydraulics. His Versatile Test Reactor (VTR) contributions include cartridge loop designs and aerosol transport experiments. Active in high-temperature reactor safety, with facilities studying pebble beds, helical coil exchangers, and HTGR upper plenum dynamics. Publications span physics-informed ML applications, finite volume techniques, and nuclear thermal systems. Grants supported development of advanced CFD tools and reactor safety infrastructure. His lab collaborates on international nuclear energy projects and emerging AI-driven simulation methodologies.

• Physics-Informed Neural Networks
• Finite Volume Techniques
• Reduced Order Modeling
• +5 more

Andrew McCallum is a Distinguished Professor and Director of the Center for Data Science at the University of Massachusetts Amherst. He holds a PhD in Computer Science from the University of Rochester (1995) and a BS from Dartmouth College (1989). His research focuses on machine learning, natural language processing, and information extraction, with applications to scientific literature and knowledge base construction. He has pioneered work on conditional random fields and probabilistic databases, and led the development of systems like Rexa, an advanced research paper search engine. Affiliations: Center for Data Science, Center for Intelligent Information Retrieval, Computational Social Science Institute Key Projects: OpenReview.net, Unified Information Extraction, Automated Knowledge Base Construction His work emphasizes extracting actionable knowledge from unstructured text, with contributions to social network analysis, entity resolution, and semi-supervised learning. McCallum has over 300 publications and has received awards including the NSF ITR Grant, IBM Faculty Partnership Awards, and ACM/AAAI Fellowships. He has advised numerous students and served as ICML General Chair (2012). Recent Research Trends: Probabilistic box embeddings, case-based reasoning for knowledge bases, scalable clustering algorithms, and applications in biomedical informatics.

• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• +3 more

Parviz Moin holds the Franklin P. and Caroline M. Johnson Professorship in Stanford University's School of Engineering. As founding director of the Center for Turbulence Research (CTR)—a NASA-Stanford consortium established in 1987—he has pioneered computational methods for turbulence physics, including direct numerical simulation and Large Eddy Simulation (LES) techniques. CTR serves as an international hub for turbulence studies across engineering, mathematics, and physics disciplines. Moin's research encompasses computational physics of turbulent flows, with emphasis on boundary layer control, hypersonic aerodynamics, propulsion systems, and aircraft icing. His recent work advances high-fidelity simulations for aerospace applications, particularly developing wall models for LES that accurately capture separation phenomena under complex pressure gradients and Reynolds number effects. Recent publications demonstrate extensive applications of LES to aircraft design challenges, including transonic buffet prediction, high-lift configuration analysis, and icing aerodynamics. Investigations consistently address fundamental turbulence physics while developing practical computational tools for aerospace engineering, with particular focus on hypersonic boundary layers, flow separation mechanisms, and conjugate heat transfer in iced environments.

• Computational Physics
• Turbulent Boundary Layers
• Hypersonic Flows
• +4 more

Hans Bihs is a Professor in the Department of Civil and Environmental Engineering, Faculty of Engineering. His research focuses on computational fluid dynamics (CFD), wave hydrodynamics, and wave-structure interaction using the open-source framework REEF3D. Key Research Areas: CFD simulations, wave modeling, floating body dynamics, ocean wave energy, aquaculture hydrodynamics, sediment transport, and high-performance computing. Projects: ERC Consolidator Grant PARTRES (2023-2028), EEA Grants Portugal SurfWave (2023), NFR KPN IPIRIS (2021-2025), EEA Baltic SolidShore (2021-2024), NTNU's MAPLE (2022-2025), and DigiCoast (2021-2024). Email: hans.bihs@ntnu.no His recent publications (2025-2020) analyze fluid-structure interaction, ship-induced waves, floating offshore wind turbines, submerged vegetation, and coastal structures using advanced CFD techniques. Topics include wave hydrodynamics, turbulence, and numerical modeling for marine and aquaculture systems.

• Computational Fluid Dynamics (CFD)
• Wave Hydrodynamics
• Wave Modeling
• +9 more

Dr. Martin Rohde is a Professor and Group Leader at the Radiation Science & Technology department within the Faculty of Applied Sciences at Delft University of Technology (TU Delft) in the Netherlands. He leads the Transport Phenomena & Nuclear Applications research group, focusing on advanced nuclear reactor technologies, particularly molten salt reactors, and their associated transport phenomena. Professor Rohde's research interests span across several critical areas in nuclear engineering and fluid dynamics. His work primarily focuses on understanding transport phenomena in nuclear applications, with particular emphasis on molten salt reactors for sustainable and safe nuclear power generation, innovative production techniques of medical isotopes, and advanced energy storage systems like flow batteries. His research group actively investigates complex physical phenomena occurring under extreme conditions such as high pressures, high temperatures, and interactions with radioactive processes. His publication record demonstrates a strong focus on computational methods for nuclear applications, particularly the Lattice Boltzmann Method (LBM), which is used to model fluid flow, heat transfer, and phase change phenomena in nuclear systems. Recent work has concentrated on freezing and melting processes in molten salt reactors, microfluidic separation techniques for medical isotopes, and advanced modeling of flow batteries. His research shows a clear progression toward increasingly sophisticated numerical methods applied to real-world nuclear engineering challenges. Professor Rohde has secured significant funding through multiple European Commission projects including ENDURANCE, MIMOSA, and ReZilient, demonstrating the international recognition of his research. He has supervised numerous PhD and MSc students, many of whom have gone on to complete theses on topics related to molten salt reactors, microfluidics, and flow battery technology. His research group includes several technicians, post-doctoral researchers, and PhD candidates working collaboratively on cutting-edge nuclear technology. The Transport Phenomena & Nuclear Applications laboratory operates several specialized facilities including the ESPRESSO facility for measuring melting and solidification under convective boundaries, and experimental setups for studying molten salt behavior, microfluidic purification, and flow battery technology. The group maintains strong collaborations with international partners including TRIUMF (Canada), NRG, and URENCO (The Netherlands).

• Nuclear Reactor Technology
• Molten Salt Reactors
• Transport Phenomena
• +5 more

Professor Jean Alexandre is a Professor of Physics at King's College London, affiliated with the Department of Physics within the Faculty of Natural, Mathematical & Engineering Sciences. His research focuses on non-perturbative quantum field theory, tunnelling phenomena, exact renormalization methods, and Lorentz symmetry violation. He has held positions including a Leverhulme Trust postdoc and temporary lectureship before his current role. Education: Doctor of Science in Theoretical Physics from University Louis Pasteur, Strasbourg (1998) Master of Physics in Theoretical Physics from École Normale Supérieure de Lyon (1994) Research Interests: Non-perturbative effects in QFT (dynamical mass generation, exact functional methods) Lorentz symmetry violation in particle physics and modified gravity Tunnelling mechanisms, cosmic bounce models, and null energy condition studies Non-Hermitian extensions of the Standard Model and PT-symmetric field theories Key contributions include work on magnetic monopole searches with the MoEDAL experiment at the LHC, finite volume effects in quantum field theory, and dynamical mass generation mechanisms. His recent articles explore topics like scalar high-electric-charge objects, vacuum decay rates, and cosmic bounce scenarios. He has supervised PhD theses on topics such as Lifshitz-type theories and gravitino condensation. Grants and Collaborations: Principal Investigator on Leverhulme Trust project 'Saving the Universe with finite volume effects in Quantum Field Theory' Co-Investigator on EPSRC and STFC-funded projects in particle physics and cosmology Labs/Teams: Active collaborator in the MoEDAL experiment and the Theoretical Particle Physics & Cosmology group at King's College London.

• Non-perturbative Quantum Field Theory
• Particle Physics
• Cosmology
• +4 more

Colin Jackson is an Assistant Professor in the Department of Earth and Environmental Sciences at Tulane University's School of Science & Engineering. He leads the High Temperature and Pressure (HiTaP) Laboratory, researching chemical reactions governing planetary evolution under extreme conditions using experimental techniques. His work focuses on geochemical processes during planet formation and differentiation. Dr. Jackson holds a Ph.D. from Brown University (2014) and a B.S. from the University of California, Santa Cruz (2008). His primary research interests include: Solid Earth geochemistry and petrology High-pressure experimental techniques Planetary formation and evolution Magma ocean dynamics Volatile element distribution in terrestrial planets His recent publications demonstrate a focus on geochemical modeling of planetary formation processes, experimental studies of element partitioning under extreme conditions, and interpretation of lunar geological data. Research trends include magma ocean crystallization, core-mantle differentiation, volatile cycling, and noble gas systematics. The HiTaP Laboratory provides research opportunities for students interested in experimental planetary science. Dr. Jackson encourages student involvement in high-pressure synthesis experiments and geochemical analysis techniques.

• Solid Earth Geochemistry
• Petrology
• High-Pressure Synthesis
• +3 more

Professor Efthymios Pavlidis is a faculty member in the Department of Economics at Lancaster University Management School (LUMS). He holds the rank of Professor and specializes in macroeconomics, international finance, and time series econometrics. His research focuses on housing market dynamics through collaborations like the International Housing Observatory (with the Federal Reserve Bank of Dallas) and the UK Housing Observatory. He is a Fellow of the Higher Education Academy, reflecting his commitment to academic excellence in teaching and research. His research interests include speculative bubble detection, real estate price forecasting, and testing parity conditions in financial markets. Pavlidis actively supervises PhD students in applied time series econometrics, emphasizing practical applications in financial markets and housing economics. He is involved in numerous academic activities, including organizing conferences and workshops such as the Dynare Conference and the Lancaster Economics Seminar. Key contributions include developing econometric methods for detecting market exuberance and analyzing real exchange rates. His work bridges theoretical econometrics with practical policy implications, particularly in housing and energy markets. Pavlidis collaborates internationally, evidenced by his participation in global academic networks and institutions like the European Economic Association and the Royal Economic Society. His teaching includes the course ECON222 Intermediate Macroeconomics I, and he maintains an office in the Management School (B015), with weekly office hours on Tuesdays. A comprehensive overview of his research and projects is available at his personal webpage: https://sites.google.com/view/etpavlidis/ .

• Macroeconomics
• International Finance
• Time Series Econometrics
• +4 more

Prof. Robert Güttel is the Director of the Institute for Chemical Engineering at the University of Ulm. He is a member of the Ulm Center for Thermal and Environmental Technology (UZWR) since 2016 and serves on its executive board. His work focuses on catalytic reaction engineering, particularly in CO2 utilization, methanation, Fischer-Tropsch synthesis, and process intensification. Research emphasizes catalyst design, reaction kinetics, and reactor modeling under dynamic conditions. Educations : Not explicitly stated in the provided text. His academic career is highlighted through his leadership roles and publications. Research Interests : Güttel’s research spans heterogeneous catalysis for CO/CO2 hydrogenation, transient kinetic analysis, polymeric reactors for extraterrestrial applications, and AI-driven reactor design. His team develops advanced catalysts (e.g., Ru/TiO2, cobalt@silica core-shell structures) and investigates novel reactor concepts like fibrous structured catalysts and sorption-enhanced processes. Recent work explores in-situ methanation on Mars and the impact of light on catalytic selectivity. Publications Trends : His 2024–2025 articles focus on low-temperature methanation beyond Earth, AI-based residence time analysis, and deactivation mechanisms. Studies highlight both experimental and computational approaches to optimize catalytic systems for sustainability and industrial relevance. Awards : No specific scientific awards mentioned in the text. Grants/Labs : Leads the Institute for Chemical Engineering at Ulm, collaborating on EU-funded projects related to power-to-X technologies and extraterrestrial chemistry. Active in developing lab-scale reactor systems and industrial partnerships for catalyst testing. Labs/Teams : Directs research groups focused on catalytic reactor design, transient kinetic methods, and sustainable process engineering. Collaborates with institutions on Mars habitat resource utilization and green hydrogen production systems.

• Catalytic Reaction Engineering
• CO2 Hydrogenation
• Methanation Processes
• +5 more

Dr Xinchen Zhang is a Grant-Funded Researcher (A) at the University of Adelaide's Department of Mechanical Engineering within the School of Electrical and Mechanical Engineering. His research focuses on integrating machine learning with computational fluid dynamics (CFD) to enhance predictive capabilities for multiphase flow solutions, particularly in sustainable energy applications like decarbonization technologies. He holds a PhD (2022) with a Dean's Commendation for Doctoral Thesis Excellence, emphasizing fluid and particle dynamics in particle-laden flows. His work addresses challenges in net-zero industrial processes such as limestone calcination and hydrogen production via methane pyrolysis, leveraging advanced CFD and ML-augmented methodologies. Key research areas include turbulence modeling, particle dispersion in jets, and flow regime analysis in horizontal particle-laden pipe systems. He is eligible to supervise Masters and PhD students as a co-supervisor. Dr Zhang's publications span 2018–2024, with recent trends focusing on physics-informed machine learning for turbulence modeling and multiphase flow optimization. His contributions advance computational efficiency and accuracy in predicting complex fluid-particle interactions.

• Fluid Dynamics
• Particle-Laden Flows
• Machine Learning
• +4 more

Associate Professor Sara Baratchi heads the Mechanobiology and Microfluidics Laboratory at the Baker Heart and Diabetes Institute and co-leads the Heart Attack Research Program. She holds academic appointments as a supervisor at RMIT University and the University of Melbourne, and is the Alice Baker and Eleanor Shaw Gender Equity Fellow. Her interdisciplinary work bridges engineering, immunology, and clinical science to address cardiovascular pathologies through innovative bioengineering approaches. Dr. Baratchi's research centers on mechanotransduction in vascular and immune cells, particularly how hemodynamic forces and extracellular matrix stiffness regulate cellular behavior in diseases like atherosclerosis and calcific aortic valve disease. She pioneers organ-on-a-chip platforms that replicate human vascular systems under pathological conditions, integrating microfluidics, single-cell omics, and patient-derived samples to develop ethical alternatives to animal testing and identify novel therapeutic targets. Her recent publications demonstrate a cohesive research trajectory focused on Piezo1-mediated mechanosensing, microfluidic device innovation, and the pathophysiological impact of altered hemodynamics. Key themes include endothelial cell responses to shear stress, substrate stiffness effects on vascular cells, and the development of dynamic flow systems for cardiovascular modeling, all aimed at translating mechanobiological insights into clinical interventions. Dr. Baratchi has received significant recognition including: Australian Vascular Biology Society Achievement and Career Development Award (2023) Alice Baker and Eleanor Shaw Gender Equity Fellowship (2023) ARC Discovery Early Career Researcher Award (2017-2020) Best Basic Research Award at Baker Institute (2020) RMIT University Established Researcher Award (2022) She has secured over $2.5 million in competitive funding from ARC and NHMRC, mentoring 20+ PhD researchers who now lead in academia and industry. As President Elect of the Australian Society for Mechanobiology and committee member for MicroTAS 2024-2025, she actively shapes the field through leadership and international collaboration. Her laboratory develops cutting-edge microfluidic platforms adopted globally, collaborating with institutions across 11+ disciplines. Current work focuses on dissecting how matrix stiffness and hemodynamic alterations in cardiovascular conditions drive pathological cellular crosstalk, aiming to establish foundational knowledge for non-invasive disease-modifying therapies.

• Mechanobiology
• Microfluidics
• Cardiovascular Disease
• +5 more

Janet S. Dufek, Ph.D., is a Professor at the University of Nevada, Las Vegas (UNLV) in the Department of Kinesiology and Nutrition Sciences . She also serves as Vice Provost for Faculty Affairs and holds adjunct appointments at the University of Nebraska at Omaha and Rocky Mountain University of Health Professions . Her career spans leadership roles including Associate Dean of the School of Integrated Health Sciences and Director of the Interdisciplinary Health Sciences Ph.D. Program . Education: Ph.D. in Biomechanics (University of Oregon, 1988) M.S. in Scientific Foundations of Kinesiology (Illinois State, 1982) B.S. (Summa Cum Laude) in Physical Education (University of Wisconsin-Superior, 1981) Research Interests focus on biomechanical mechanisms of locomotion , injury prevention , and clinical gait assessment . She specializes in jump-landing dynamics , movement variability , and performance enhancement for clinical populations , advocating for interdisciplinary approaches to solve complex health science problems. Her 15 most recent publications (2019-2024) reflect trends in concussion biomechanics , autism spectrum disorder gait analysis , machine learning applications in diabetes progression , and advanced sensor technology for movement studies . Articles explore topics from head acceleration effects on lower extremity function to weighted vest interventions in autism therapy . Scientific Awards include: Fellow, American College of Sports Medicine UW-Superior Hall of Fame (Scholar-Athlete, 2007) Membership in Phi Kappa Phi and Sigma Xi honor societies As a dedicated mentor , she supervises graduate research projects and advises on interdisciplinary health sciences . Her lab ( REBEL Research Group ) pioneers work in biomechanical injury prevention and gait variability assessment , utilizing pressure-measuring insoles and wearable inertial sensors.

• Biomechanics
• Locomotion
• Injury Prevention
• +5 more

Kevin Costello holds the Krembil William Rowan Hamilton Chair in Theoretical Physics at the Perimeter Institute for Theoretical Physics as Research Faculty and Perimeter Research Chair. His work establishes rigorous mathematical frameworks for string theory and quantum field theory, targeting precise formulations of string dualities through advanced mathematical tools. Costello's research centers on Mathematical Physics with emphases on String Theory and Quantum Field Theory. He pursues twisted forms of the AdS/CFT correspondence, integrable systems in gauge/string theory, and applications to four-dimensional particle physics models. Recent efforts bridge celestial holography with mathematical structures like factorization algebras to decode gravitational scattering and asymptotic symmetries in flat spacetime. His 2022-2025 publications reveal dominant trends in celestial holography (33%), twisted holography (20%), and mathematical structures for QFT (27%), frequently intersecting with integrable systems and gravitational physics. Key journals include Journal of High Energy Physics and arXiv preprints, highlighting theoretical breakthroughs in Burns space, hyperbolic string vertices, and bootstrapping methods. Awards and honors include: Simons collaboration in celestial holography, Simons Foundation, 2023-2027 John L. Synge award, Royal Society of Canada, 2022 Discovery Grant, Natural Sciences and Engineering Research Council of Canada (NSERC), 2021 Leonard Eisenbud Prize for Mathematics and Physics, American Mathematical Society, 2020 Honorary Member, Royal Irish Academy, 2020 Fellow, Royal Society, 2018 Berwick Prize, London Mathematical Society, 2017 Costello secures major research funding through the Simons collaboration (2023-2027) and NSERC Discovery Grant (2021), enabling exploration of mathematical physics frontiers. His extensive seminar series—including the Twisted Holography Mini-Course and PHYS 777 lectures—demonstrates active mentorship despite no listed advisees in the source material.

• Mathematical Physics
• String Theory
• Quantum Field Theory
• +2 more

Dr. Olfa Lopez-D’Angelo is a researcher at the Department of Multiscale Simulation of Particulate Systems at Friedrich-Alexander-Universität Erlangen-Nürnberg. Her research focuses on granular rheology, additive manufacturing for space applications, and the behavior of materials under microgravity conditions. She leads the Rheologie granularer Materialien unter Weltraumbedingungen project (2023–2026), funded by the German Ministry for Economic Affairs and Climate Action (BMWK). Her work bridges theoretical physics, experimental engineering, and space technology. Key research interests include granular fluid dynamics, powder-based manufacturing processes in low-gravity environments, and the structural analysis of metamaterials. She has contributed to pioneering studies on acoustically propelled macroparticles and granular piston-probing in microgravity. Her interdisciplinary approach is evident in collaborations with institutions like ESA and DLR, as well as her involvement in projects such as the VIP-DROP2 module for droplet dynamics experiments. Awards: Granular Matter Gordon Research Conference Poster Prize (2022) ELGRA Research Prize (2021) Fly Your Thesis! 2019 (2018) ESA Networking/Partnering Initiative Fellowship (2017) Dr. Lopez-D’Angelo actively disseminates her work through international conferences (e.g., DPG, IAC) and public engagement initiatives, including the podcast Talk That Science . Her research emphasizes practical applications in space exploration, such as in-situ resource utilization and advanced manufacturing systems for extraterrestrial environments.

• Granular Rheology
• Additive Manufacturing
• Space Technology
• +3 more