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Michael SherwinView profile

Assistant Professor

• Supply Chain Management
• Applied Decision Analytics
• Reliability Optimization
• +4 more

Dr. Michael Sherwin is an Assistant Professor of Supply Chain Management at Duquesne University’s Palumbo-Donahue School of Business. Previously, he served as an Assistant Professor of Industrial Engineering and Graduate Program Director at the University of Pittsburgh. His academic journey includes teaching and developing courses in supply chain management, operations, quality systems, and Lean/Six Sigma methodologies. Prior to academia, he spent 15+ years in industry roles across nuclear power, defense, metals, and aerospace sectors. Education: Ph.D. in Industrial and Systems Engineering, Mississippi State University M.B.A., Carnegie Mellon University M.S. in Industrial Engineering, Penn State University B.S. in Materials Science and Engineering, Penn State University Research focuses on applied decision analytics, reliability optimization, and risk mitigation in critical supply chains. He also explores Industry 4.0 applications in teaching methodologies. Professional credentials include ASQ Six Sigma Black Belt, Pennsylvania Professional Engineer licensure, and Certified Training Partner status with ASQ. He contributes to the Institute of Industrial and Systems Engineers (IISE) and the Logistics and Supply Chain Division Board of Directors. Publications emphasize stochastic programming, fault tree analysis, and supply chain resilience. Teaching innovations include adapting engineering capstone courses during the pandemic. His industry experience informs practical approaches to bridging academic theory and real-world supply chain challenges.

Bradley W. CarrollView profile

Professor

• Astrophysics
• Stellar Pulsations
• Neutron Stars
• +3 more

Bradley W. Carroll is a Professor in the Department of Physics at Weber State University. His primary affiliations include academic leadership in astrophysics education and research, with significant contributions to theoretical astrophysics and physics pedagogy. He has co-authored seminal textbooks in astrophysics and developed educational software used in physics instruction globally. Carroll's research spans stellar pulsations, neutron star physics, accretion disk dynamics, and computational astrophysics. He maintains active interests in physics education innovation, particularly through multimedia tools and simulations. His work consistently bridges theoretical astrophysics with practical teaching methodologies, enhancing astronomy education at multiple levels. His publication portfolio demonstrates a strong focus on stellar phenomena, pedagogical advancements, and computational applications. Recent works emphasize integrating technology into physics education while maintaining foundational research in variable stars and compact objects. The interdisciplinary nature of his output connects astrophysics, computational modeling, and educational theory. Carroll actively contributes to academic outreach through public lectures on topics ranging from Archimedes' achievements to modern astrophysics. He maintains collaborations with educational software developers and participates in physics education research conferences.

Alex ChenView profile

Assistant Professor

• High Energy Astrophysics
• Neutron Stars
• Black Holes
• +6 more

Alex Chen is an Assistant Professor in the Department of Physics at Washington University in St. Louis. He is affiliated with the McDonnell Center for the Space Sciences and leads a research group focused on astrophysical plasma dynamics. His work involves GPU-based supercomputer simulations to study radiative processes and plasma physics near compact objects like neutron stars and black holes. Alex holds a PhD in Physics from Columbia University (2017) and has held postdoctoral positions at Princeton University’s Department of Astrophysical Sciences and JILA at the University of Colorado Boulder. His research expertise spans multi-wavelength pulsar emission mechanisms, fast radio bursts (FRBs), magnetic reconnection in extreme environments, and gamma-ray flares from active galactic nuclei (AGN). Research interests include: High Energy Astrophysics Neutron Stars and Magnetars Black Hole Magnetospheres Relativistic Plasma Simulations Radiation Physics in Strong Magnetic Fields AI Applications in Medicine and Astronomy Notable grants include a 2023 NSF award co-led with Yuan to simulate pulsar magnetospheres. His recent studies highlight interdisciplinary efforts, such as evaluating AI systems in medicine and developing open-source tools like the CompactObject package for neutron star analysis. Alex also contributes to the HEX-P X-ray probe project targeting magnetars. Labs/Teams: His research group collaborates with the McDonnell Center for the Space Sciences, leveraging advanced computational frameworks like APERTURE and Gemini 1.5 to tackle complex astrophysical problems. He emphasizes mentorship through initiatives like undergraduate research programs.

Christian WolfView profile

Associate Professor

• Growth of supermassive black holes
• Accretion discs
• Wide-field sky surveys
• +3 more

Associate Professor Christian Wolf is an astronomer at the Australian National University (ANU), affiliated with the Research School of Astronomy and Astrophysics within ANU College of Science. He holds a PhD from the Max-Planck-Institute for Astronomy (1999) and has held roles at the University of Oxford until 2013. His research focuses on supermassive black hole growth, accretion discs, wide-field surveys (LSST, eROSITA, SkyMapper), and gravitational-wave counterpart detection. He leads the SkyMapper Group and has contributed to projects like the COMBO-17 survey and All-sky Astrophysics (CAASTRO). His work includes discovering ultra-luminous quasars and studying galaxy evolution. Supervised students include Neelesh Amrutha, Zachary Steyn, and Ashley Hai Tung Tan. Over 130 publications span quasar studies, black hole dynamics, and survey methodologies. Education: PhD (1999), Max-Planck-Institute for Astronomy; Postdoctoral roles at MPIA Heidelberg (until 2001) and University of Oxford (STFC Fellow 2004-2009). Research interests emphasize observational cosmology, quasar variability, and multi-wavelength surveys. Key projects include the SkyMapper Southern Survey (DR2/4) and the AllBRICQS quasar survey. His publications often address black hole accretion, galaxy evolution, and survey techniques.

Roman RafikovView profile

Professor

• exoplanets
• planet formation and dynamics
• astrophysical fluid dynamics
• +7 more

Roman Rafikov is Professor of Astrophysics at the Department of Applied Mathematics and Theoretical Physics (DAMTP) within the Faculty of Mathematics at the University of Cambridge. He has held this position since 2021, after serving as Reader in Astrophysics (2018-2021) and University Lecturer in Astrophysics (2016-2018) at DAMTP. Prior to his Cambridge appointments, he was Assistant Professor at Princeton University (2007-2015) and the Canadian Institute for Theoretical Astrophysics at the University of Toronto (2005-2007). He was also a Visiting Faculty Member at the Institute for Advanced Study in Princeton (2015-2016). Rafikov's research focuses on exoplanets (around single and binary stars; young, main sequence, and evolved stars), planet formation and dynamics, astrophysical fluid dynamics, accretion disks (protoplanetary, disks in binaries, quasars), N-body and galactic dynamics, and high-energy astrophysics. His work spans theoretical modeling of planetary systems, fluid dynamics in astrophysical contexts, and gravitational wave sources. He is a member of the Geophysical and Astrophysical Fluid Dynamics research group at DAMTP. Rafikov's recent publications demonstrate his expertise in planet-disk interactions, protoplanetary and circumbinary disk structures, gravitational wave sources in stellar clusters, and the dynamics of compact object binaries. His research combines theoretical modeling with observational constraints, particularly using data from instruments like ALMA. His work has significant implications for understanding planet formation mechanisms and the evolution of binary systems that produce gravitational waves detectable by LIGO/Virgo. Rafikov maintains active collaborations with researchers across multiple institutions and has contributed to numerous studies in leading astrophysical journals including The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

• Photonics
• Astrophotonics
• Optics
• +4 more

**Sergio Leon-Saval** is a Professor at the School of Physics , University of Sydney, and holds leadership roles as Director of the Sydney Astrophotonics Instrumentation Laboratory (SAIL) and Institute of Photonics and Optical Science (IPOS) . He earned his PhD from the University of Bath (UK, 2006) and has been at the University of Sydney since 2007. His research focuses on photonics, astrophotonics, optical fibres, and astronomical instrumentation, with over 90 journal articles and 220 conference papers, yielding 10,000+ citations and an h-index of 49. **Education**: PhD in Physics (University of Bath, 2006). **Research Interests**: Optics, photonics, astrophotonics, spectroscopy, astronomical instrumentation, and optical fibre devices. Aligns with University priorities in space exploration, climate science, and communication technologies. **Awards**: 2023 Optica Fellow, 2020 Knight’s Cross of the Order of Isabella the Catholic, 2019 ANZOS John Love Award, and 2016 ASA Peter McGregor Prize. He has supervised 14 PhD students, 2 Masters, and 6 Honours candidates. **Projects**: Developing photonic lanterns for ultra-precision astronomy, broadband starlight injection systems, and hyperspectral imaging for environmental monitoring. Collaborates with institutions like UNSW, AIP (Germany), and ANZOS. **Labs/Teams**: Leads SAIL and IPOS, overseeing research prototyping and academic partnerships. Active in global initiatives like the Hector spectrograph and QB50 CubeSat projects.

• Particle Physics
• Dark Matter Detection
• Neutrino Physics
• +3 more

Tarak Nath Maity is an academic researcher at the Department of Physics, University of Sydney. His work focuses on particle astrophysics and cosmology, particularly in the realm of dark matter detection and neutrino physics. He is affiliated with the Faculty of Science and utilizes experimental facilities such as Super-Kamiokande, XENON1T, and the Tibet ASγ experiment to explore fundamental questions about dark matter interactions and cosmic phenomena. His research interests include dark matter-electron scattering, neutrino backgrounds in direct detection experiments, and the implications of ultralight bosons on galactic structures. He has contributed to understanding the weak mixing angle through direct detection experiments and has modeled dark matter substructures' effects on experimental signals. His work often integrates cutting-edge detector technology with theoretical astrophysical models to advance our understanding of non-baryonic matter and cosmic particle interactions. While no specific awards or grants are explicitly listed, his publications reflect a sustained focus on experimental and theoretical challenges in dark matter detection, with recent work addressing solar constraints, neutron star dynamics, and sub-PeV gamma-ray signatures. His research group likely collaborates with international experimental consortia given the cited facilities.

Nicolai HaydnView profile

Professor

• Ergodic Theory
• Dynamical Systems
• Limit Theorems
• +3 more

Nicolai Haydn is a Professor of Mathematics at the University of Southern California (USC), affiliated with the Department of Mathematics in the Dornsife College of Letters, Arts and Sciences. He has held academic positions at USC since 1990, progressing from Assistant Professor (1990–1994), to Associate Professor (1994–2002), and Professor since 2002. He earned his Ph.D. in Mathematics from the University of Warwick in 1987. His research focuses on ergodic theory , dynamical systems , and limit theorems , with particular emphasis on entry and return times distribution, escape rates, and random dynamical systems. His work explores both theoretical and applied aspects of these fields, including applications to statistical mechanics and stochastic processes. Recent publications (2020–2025) highlight advancements in quenched limiting entry distributions , number of visits in ϕ-mixing dynamics , and escape rate analysis . These studies contribute to understanding statistical behaviors in complex dynamical systems. Notable collaborations include work with researchers like Sandro Vaienti (University of Toulon) and Matthew Nicol (University of Houston). Teaching responsibilities include advanced courses such as Math 625: Ergodic Theory and Dynamical Systems and Math 520: Complex Analysis . He has also contributed to educational materials, including lecture notes on entry/return times distributions. No academic awards or grants are explicitly listed in the provided texts, though his extensive publication record reflects sustained scholarly impact. Research is centered at USC, with no mention of lab affiliations or team collaborations beyond co-authorships.

Eric G. BlackmanView profile

Professor

• Theoretical Astrophysics
• Plasma Physics
• Astrophysical Fluid Dynamics
• +8 more

Eric G. Blackman is a Professor of Physics and Astronomy at the University of Rochester and a Senior Scientist at the Laboratory for Laser Energetics. His research focuses on theoretical astrophysics and plasma physics, with interdisciplinary interests in planetary and geophysical systems. He holds a BS from MIT, a Part III Tripos from Cambridge, and a PhD from Harvard. Blackman has pioneered studies on accretion disks, jets, magnetic fields, and common envelope evolution. He collaborates extensively with experimentalists at the Laboratory for Laser Energetics to bridge astrophysical and laboratory plasmas. His awards include a DOE Faculty Development Award (2000–2003) and APS Fellow (2005). Blackman has mentored numerous students and postdocs across astrophysics and related fields. Education: MIT (BS Physics/Math, 1990), Cambridge (M.A.S., 1991), Harvard (PhD Theoretical Astrophysics, 1995) Research Themes: Plasma astrophysics, stellar dynamics, planetary magnetization, and laboratory astrophysics. Labs & Collaborations: Laboratory for Laser Energetics (Inertial Confinement Fusion), interdisciplinary projects on brain injury physics.

• Chemical Engineering
• Multiphase Flow
• Energy Optimisation in Wastewater Treatment
• +4 more

Rex Thorpe is a Professor of Chemical Engineering at the University of Surrey 's School of Chemistry and Chemical Engineering. His work spans multiphase flow analysis, energy optimisation in wastewater treatment, and innovative chemical recycling technologies. Former Head of Chemical and Process Engineering (2008-2015), he has pioneered research in anaerobic digestion flexibilisation and membrane technology for water treatment. Key research areas: multiphase flows in industrial systems Energy recovery from sewage sludge Advanced plastic recycling methods Volatile organic compound (VOC) abatement His recent publications focus on direct contact heat exchangers , dynamic biogas systems , and salinity effects on membrane permeability . The studies frequently combine experimental validation with mathematical modelling across scales from pilot plants to full municipal operations. Scientific accolades include: Fellow of the Institution of Chemical Engineers (FIChemE) Chartered Engineer (CEng) Fellow of the Higher Education Academy (FHEA) As an educator, he teaches Energy and Industrial Systems and Process Equipment Design modules. His legacy includes foundational work on pipe bend forces, fluidised bed conveying, and computational fluid dynamics (CFD) calibration techniques.

Isaac M. GoldbringView profile

Professor

• Model theory
• Nonstandard analysis
• Continuous logic
• +5 more

Isaac M. Goldbring is a Professor in the Department of Mathematics at the University of California, Irvine (UCI), with a courtesy appointment in the Department of Logic and Philosophy of Science. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (2009) and a B.S./M.A. from UCLA (2004). His research spans model theory, operator algebras, and nonstandard analysis, with applications to combinatorics, quantum complexity, and geometric group theory. He is Editor-in-Chief of the Journal of Logic and Analysis and has led major NSF-funded projects, including work on model theory and quantum complexity. Education: Ph.D., Mathematics, University of Illinois at Urbana-Champaign (2009) B.S. & M.A., Mathematics, University of California, Los Angeles (2004) Research interests include continuous model theory, tracial von Neumann algebras, and applications of nonstandard methods to Ramsey theory and combinatorial number theory. He has organized conferences like the 2023 North American Annual Meeting of the Association for Symbolic Logic and delivered keynotes globally, including at the Mathematical Congress of the Americas and Oberwolfach workshops. Scientific awards include the Gerald Sacks Prize (2009) and Robert Sorgenfrey Teaching Award (2012). He advises five current students and has published extensively in top journals like the Annals of Mathematics and Journal of Functional Analysis . His teaching spans advanced topics in logic, analysis, and topology, reflecting his commitment to both research and education. Grants: NSF Grant DMS-2054477 (2021-2024) on Model Theory, Quantum Complexity, and Operator Algebras NSF CAREER Grant (2014-2019) He is part of UCI’s Logic and Foundations group and collaborates internationally with institutions like the Fields Institute and the Banff International Research Station. His work bridges foundational mathematics with cutting-edge areas like quantum information theory and geometric group theory.

• Geotechnical Engineering
• Soil-Structure Interaction
• Tunnel Engineering
• +4 more

Dr. Anne-Catherine A.A.M. Dieudonné is an Assistant Professor in Geotechnical Field Testing and Monitoring at Delft University of Technology's Faculty of Civil Engineering and Geosciences. She holds a Ph.D. in Structural, Seismic, and Geotechnical Engineering from Politecnico di Milano, where she previously worked as a doctoral researcher and assistant professor until joining TU Delft in 2022. Her research focuses on experimental, numerical, and theoretical analysis of soil-structure interaction problems, including foundations, tunnels, embankments, and slope retaining systems. Key interests include developing simplified models for infrastructure design, improving sustainability and reliability of structures, and understanding time-dependent material responses. Her work spans geotechnical monitoring with fiber optics, constitutive modeling of geomaterials (e.g., cement-bentonite mixtures), and energy geotechnics. Notable contributions include studies on tunnel face stability, pile-supported embankments, and bio-cemented soils. Publications emphasize THM modeling for geothermal systems, fracture mechanics, and nuclear waste repository optimization. She collaborates internationally, contributing to advanced multiphysics approaches in geomechanics.

Max NiedermaierView profile

Research Professor

• Quantum Gravity
• Theoretical Physics
• Quantum Field Theory
• +3 more

Max Niedermaier is a Research Professor at the Department of Physics & Astronomy within the Dietrich School at the University of Pittsburgh. His research focuses on quantum gravity, field theoretical systems, and their non-perturbative aspects. Key areas include asymptotic safety, state space positivity, and symmetry-breaking phenomena in gravitational contexts. His work explores the strong coupling limit of Einstein gravity, leveraging techniques such as functional renormalization group methods and mathematical physics approaches to address challenges in gravitational renormalizability. Selected publications highlight contributions to gravitational fixed points, asymptotic safety in dimensionally reduced gravity, and analyses of nonlinear sigma models. No specific awards or grants are listed in the provided materials. While no student advisees are mentioned, his research group likely engages with theoretical physics topics. The department is part of the broader Dietrich School, emphasizing interdisciplinary research in physical sciences.

• Partial Differential Equations
• Harmonic Analysis
• Fractional Calculus
• +4 more

Professor Michael Ruzhansky is a faculty member at Queen Mary University of London, where he holds the position of Professor of Mathematics in the School of Mathematical Sciences. His research focuses on advanced areas such as partial differential equations, harmonic analysis, fractional calculus, and pseudo-differential operators. He is affiliated with the Centre for Geometry, Analysis, and Gravitation, reflecting his interdisciplinary research interests. Affiliations: School of Mathematical Sciences, Department of Mathematics Key Research Areas: PDEs, harmonic analysis, fractional calculus, functional inequalities, and mathematical physics His work spans theoretical contributions to operator theory, spectral analysis, and applications in mathematical physics. Recent research emphasizes fractional dynamics, non-local equations, and inequalities on Lie groups. He has published extensively in leading journals, with a focus on advancing core mathematical analysis and its applications. Notable research includes studies on inverse problems for fractional equations, Schatten classes on noncommutative spaces, and Hardy-type inequalities. His expertise intersects pure and applied mathematics, contributing to both foundational theory and real-world modeling challenges.

Samaneh KouchakiView profile

Senior Lecturer

• Biomedical signal processing
• Deep supervised/semi-supervised learning for healthcare data
• Graph learning and embedding for omics data
• +5 more

Samaneh Kouchaki is a Senior Lecturer in Machine Learning for Healthcare at the University of Surrey, affiliated with the Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering. She leads research on machine learning applications in healthcare, particularly dementia care and antibiotic resistance. Her roles include teaching, supervision of 6 PhD students, and collaboration with the UK Dementia Research Institute. Education : PhD in Computer Science (University of Surrey, 2015), postdoctoral research at University of Oxford (TB genomics) and University of Manchester (bioinformatics). Research Interests : Focuses on healthcare AI, including biomedical signal processing, graph learning for omics data, and sensor-based remote monitoring. Develops machine learning tools for early disease detection and personalized care. Publications : Over 30 peer-reviewed articles in top journals like NPJ Digital Medicine and The Lancet Microbe , covering topics from antibiotic resistance prediction to dementia care technologies. Recent work emphasizes lightweight models for clinical NLP and unsupervised anomaly detection. Lab & Teams : Leads research in health AI at CVSSP, collaborating with UK DRI, Imperial College London, and NHS trusts. Develops TIHM platform for remote monitoring of dementia patients.