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Sheng ShenView profile

Professor

• Nanophotonics
• Nanoscale Energy Transport and Conversion
• Advanced Manufacturing
• +7 more

Sheng Shen is a Professor in the Mechanical Engineering Department at Carnegie Mellon University (CMU) , with courtesy appointments in the Departments of Electrical and Computer Engineering and Materials Science and Engineering . He earned his Ph.D. in Mechanical Engineering (Minor in Electrical Engineering) from Massachusetts Institute of Technology (MIT) , and his B.S. and M.S. from Huazhong University of Science and Technology in China. Prior to joining CMU in 2011, he conducted postdoctoral research at UC-Berkeley . Education: Ph.D., Mechanical Engineering, MIT (2010) B.S. & M.S., Power Engineering & Engineering Thermophysics, Huazhong University of Science and Technology (2000 & 2003) Research interests include nanophotonics , nanoscale energy transport and conversion , nanofabrication , and advanced manufacturing , with applications in thermal management , light sources and devices , thermal emission control , solar energy conversion , infrared sensing , and multifunctional materials . His work leverages interdisciplinary expertise in thermal and optical measurements , material synthesis , device fabrication , and theoretical modeling . Recent publications highlight advancements in infrared radiation control , thermal interface materials , metasurface engineering , and graphene-based nanosystems . His scientific awards include: NSF CAREER Award DARPA Director's Fellowship DARPA Young Faculty Award Elsevier/JQSRT Raymond Viskanta Award CMU Dean's Early Career Fellowship Philomathia Foundation Research Fellowship Hewlett-Packard Best Paper Award Best Paper Award, Julius Springer Forum Advising spans Ph.D. and postdoctoral researchers in nanoscale energy systems, with alumni contributing to solar energy conversion , infrared sensing , and flexible electronics . His lab receives funding from ARL, DARPA, DOE, DTRA, NASA, NSF, and ONR , and recently secured a DURIP award for instrumentation.

• General Relativity
• Theoretical Physics
• Black Hole Mechanics
• +6 more

Harvey Reall is a Professor of Theoretical Physics at the University of Cambridge , affiliated with the Department of Applied Mathematics and Theoretical Physics (DAMTP) and a Fellow of Trinity College . His research focuses on General Relativity and Effective Field Theory , particularly in the context of black hole mechanics , higher-dimensional gravity , and cosmic censorship . He has held prestigious positions including a Royal Society University Research Fellowship from 2005 to 2013. Education: PhD from DAMTP, University of Cambridge. Previous Appointments: Lecturer at the University of Nottingham (2005-2007); Postdoctoral positions at the Kavli Institute (2003-2005), Queen Mary University of London (2000-2003), and University of California, Santa Barbara (2003-2005). Reall's work explores the uniqueness and stability of black holes , causality in gravitational theories , and effective field theory approaches to gravity . His recent publications address nonperturbative second law formulations , event horizon dynamics , and axisymmetry theorems in extended theories of gravity. He has supervised numerous researchers including Aidan McSharry (2025-) , Maxime Gadioux (2022-) , and Iain Davies (2020-24) , contributing to the training of the next generation of physicists. Scientific Awards: Royal Society University Research Fellow (2005-2013)

Erik B. SudderthView profile

Professor

• Machine Learning
• Computer Vision
• Statistical Inference
• +3 more

Erik B. Sudderth is a Professor of Computer Science and Statistics and Chancellor's Fellow at the University of California, Irvine (UCI). He leads the Learning, Inference, & Vision Group and directs multiple research centers, including the UCI Center for Machine Learning and Intelligent Systems and the HPI Research Center in Machine Learning and Data Science. He previously served as an Associate Professor at Brown University. Education: B.S. (summa cum laude) in Electrical Engineering from UC San Diego (1999), M.S. and Ph.D. in EECS from MIT (2002, 2006). His research focuses on statistical methods for scalable machine learning, Bayesian nonparametrics, probabilistic graphical models, and applications in computer vision, AI, and environmental science. Key areas include nonparametric clustering, deep generative models, and particle-based inference algorithms. Research interests span diverse topics: advancing Bayesian nonparametric models for medical time series, scalable variational inference, and AI ethics. Notable contributions include the NET-VISA seismic monitoring system (ISBA Mitchell Prize, 2014), the BNPy toolbox (NSF CAREER Award), and work on diverse particle max-product algorithms for continuous inference. Scientific awards include the NSF CAREER Award, ISBA Mitchell Prize, and recognition as one of "AI's 10 to Watch" (IEEE). He has served as editor for top journals (JMLR, IEEE PAMI) and conference chairs (NeurIPS, CVPR). His work bridges theory and practice, with applications in robotics, climate science, and healthcare. Labs/Teams: UCI Learning, Inference, & Vision Group; UCI Center for Machine Learning; CREATE Technology Center. Grants include NSF funding for visually impaired collaboration tools and soil biogeochemical modeling.

Jonathan T. BarronView profile

Researcher

• Computer Vision
• Deep Learning
• Generative AI
• +3 more

Jonathan T. Barron is a Researcher at Google DeepMind in San Francisco, specializing in Computer Vision , Neural Rendering , and 3D Scene Reconstruction . He earned his PhD at UC Berkeley under Jitendra Malik and has pioneered advancements in NeRF (Neural Radiance Fields) and diffusion-based 3D generation. Research Interests : Computer Vision, Deep Learning, Generative AI, Image Processing, and 3D Reconstruction via Radiance Fields. His work includes Bolt3D for rapid 3D scene generation, CAT3D/CAT4D for text-to-3D/4D, and Zip-NeRF for anti-aliased radiance fields. He has also developed real-time rendering frameworks like SMERF and NeRF-Casting for reflections. Scientific awards: PAMI Young Researcher Award He has served as Area Chair for CVPR, ICCV, and NeurIPS, and his research is widely adopted in applications like Google's Lens Blur , Portrait Mode , and Jump VR .

Jeroen TrompView profile

Professor

• Seismology
• Computational Geophysics
• Earth Imaging
• +5 more

Jeroen Tromp serves as the Blair Professor of Geology and Professor of Geosciences and Applied and Computational Mathematics at Princeton University, where he also directs the Princeton Institute for Computational Science and Engineering (PICSciE). His work centers on theoretical and computational seismology with applications across Earth and planetary sciences. His research interests focus on imaging Earth's interior through advanced computational techniques. Key areas include surface waves, free oscillations, body waves, seismic tomography, numerical simulations of 3-D wave propagation, and seismic hazard assessment. His group develops open-source software for acoustic, elastic and poroelastic wave propagation, addressing problems in exploration geophysics, regional and global seismology, and helioseismology. Current research trends show strong emphasis on Mars seismology (InSight mission), iron spin crossover in the lower mantle, tilted transverse isotropy in Earth's inner core, and crosstalk-free waveform inversion techniques across multiple scales. Tromp actively mentors graduate students and leads collaborative projects involving seismic wavefield imaging across planetary bodies. His group maintains strong connections with NASA's InSight mission and develops computational frameworks for global centroid moment tensor inversions. The research team operates within the Department of Geosciences, leveraging high-performance computing resources through PICSciE to tackle large-scale inverse problems in seismology.

• Engineering sciences
• Materials science
• Aerospace
• +11 more

Ares J. Rosakis is the Theodore von Kármán Professor of Aeronautics and Mechanical Engineering at the California Institute of Technology (Caltech), where he served as Chair of the Division of Engineering and Applied Science from 2009-2015 and previously as Director of the Graduate Aerospace Laboratories (GALCIT). He has held numerous prestigious visiting professorships including at Nanyang Technological University, Northwestern University, Columbia University, Oxford University, and École Normale Supérieure in Paris. Rosakis earned his B.A. and M.A. in Engineering Science from Oxford University in 1978, followed by his Sc.M. (1980) and Ph.D. (1982) in Engineering (Solid Mechanics) from Brown University. He joined Caltech as an Assistant Professor in 1982, was promoted to Associate Professor in 1988, and to full Professor in 1993. In 2004, he was named the Theodore von Kármán Professor, one of Caltech's most distinguished named chairs. Rosakis is globally recognized as the foremost expert in dynamic failure mechanics of solid materials. His pioneering contributions span the dynamic failure of metals, composites, and interfaces. He invented Coherent Gradient Sensing (CGS) interferometry, a novel optical method sensitive to gradients of optical path differences that has been widely adopted in fracture mechanics and thin film stress measurements. His research encompasses dynamic shear-dominated rupture of heterogeneous materials, rupture mechanics of crustal earthquakes (where he experimentally discovered 'intersonic' or 'supershear' ruptures), and reliability of thin films and in-situ wafer level metrology. His work bridges engineering science, materials mechanics, and geophysics with remarkable interdisciplinary impact. His recent publications demonstrate a strong focus on earthquake mechanics and laboratory simulations of seismic events, particularly supershear earthquake ruptures. The research connects fundamental fracture mechanics with real-world geophysical phenomena, revealing how laboratory-scale experiments can illuminate the physics of large-scale earthquakes. His work has established critical links between theoretical models, experimental observations, and geological field evidence. Rosakis has received numerous prestigious awards including: 2024 Foreign Member of the Royal Society, UK 2023 Honorary PhD from National Technical University of Athens 2023 Honorary Degree of Doctor of Engineering from University of Illinois 2021 Zdeněk P. Bažant Medal for Failure and Damage Prevention 2018 Timoshenko Medal from ASME 2016 Elected to the National Academy of Sciences 2011 Elected to the National Academy of Engineering Throughout his distinguished career at Caltech, Rosakis has mentored numerous graduate students and postdoctoral researchers, many of whom have become leaders in their fields. His research has been continuously supported by major grants from the National Science Foundation, Department of Energy, and other federal agencies, focusing on dynamic fracture, earthquake mechanics, and advanced optical measurement techniques. He has served on numerous editorial boards and advisory committees for major scientific organizations. At Caltech, Rosakis leads research in the Graduate Aerospace Laboratories (GALCIT), where he has established world-class experimental facilities for studying dynamic fracture and earthquake mechanics. His laboratory features high-speed imaging systems capable of millions of frames per second, infrared diagnostics for temperature field measurements, and specialized equipment for simulating earthquake ruptures at laboratory scale. His research group combines experimental, theoretical, and computational approaches to address fundamental questions in solid mechanics and their applications to geophysics and materials engineering.

Daniela KraftView profile

Professor

• Self-Assembly
• Soft Matter Physics
• Biophysics
• +4 more

Daniela Kraft is a Professor of Experimental Physics at the Huygens-Kamerlingh Onnes Laboratory , part of the Leiden Institute of Physics (LION) at Leiden University. She obtained her Ph.D. cum laude from Utrecht University and completed postdoctoral research at New York University's Center for Soft Matter Research with a Rubicon grant. Her research bridges self-assembly in soft and biological matter , including colloidal particles , lipid membranes , and active systems . Key awards include the NWO Athena Prize (2019) , ERC Starting Grant , VENI/VIDI fellowships , and the Biophysical Journal Paper of the Year (2017) . She has published extensively in journals like Nature Communications , ACS Nano , and Physical Review Letters , with recent work on membrane-deforming colloids , non-additive interactions , and anisotropic microswimmers . Research Focus : Self-organization principles in biological and synthetic systems, colloidal model systems, and non-equilibrium physics. Labs : Leads the Kraft Lab at Leiden University. Education : Ph.D. in Physics (Utrecht University), Postdoc in Soft Matter Physics (NYU).

Sanne CottaarView profile

Researcher

• Seismology
• Deep Earth Structure
• Mantle Dynamics
• +5 more

Sanne Cottaar is a researcher at the Department of Earth Sciences, University of Cambridge, specializing in seismology and deep Earth structure. Her work integrates seismic waveform analysis, mineral physics, and geodynamic modeling to investigate mantle plumes, ultra-low velocity zones (ULVZs), and core-mantle boundary dynamics. Key research areas include: Seismic imaging of deep Earth heterogeneity Core-mantle boundary and mantle transition zone structure Multidisciplinary approaches with mineral physics and geodynamics Development of seismic tools like BurnMan for thermodynamic modeling Public engagement through educational initiatives such as Deep Earth Explorers Her recent publications focus on mapping ULVZs using Sdiff and Pdiff waves, resolving mantle plume origins, and benchmarking seismic methods against geodynamic constraints. She actively supervises doctoral projects in seismology and deep Earth dynamics.

• Global Seismology
• Earth's Deep Interior
• Mantle Discontinuities
• +4 more

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.

David Al-AttarView profile

Professor

• Theoretical geophysics
• Computational geophysics
• Continuum mechanics
• +7 more

David Al-Attar is a Professor at the University of Cambridge's Department of Earth Sciences, actively involved in theoretical and computational geophysics research. He serves as a supervisor within the Cambridge NERC Doctoral Landscape Awards (Training Partnerships) program, particularly in the CREATES initiative focusing on climate and environmental science. Education: While specific educational details aren't provided in the text, his extensive publication record and professorial position at Cambridge indicate advanced training in geophysics and applied mathematics. Research Interests: Professor Al-Attar's work spans several interconnected areas within geophysics. His primary focus includes theoretical and computational problems in geophysics, with particular emphasis on continuum mechanics as applied to Earth systems. He develops new physical and mathematical theories for understanding Earth processes, including rigorous function space methods for inverse problems and uncertainty quantification. His sea level change research aims to constrain ice sheet evolution during the last glacial period to better understand modern contributions to sea level rise. Additionally, he investigates solid Earth dynamics including seismic free oscillations, body tides, and Earth rotation, contributing to our understanding of deep Earth structure and mantle dynamics. Research Themes: His publications demonstrate expertise in adjoint methods, glacial isostatic adjustment, mantle viscosity, planetary seismology, and computational methods for geophysical problems. Recent work emphasizes 3-D Earth modeling, sensitivity analysis, and the integration of satellite observations with theoretical models. Current Projects: Potential projects for students include inverse problems related to deglacial sea level change with focus on uncertainty quantification, modern sea level monitoring using satellite data, and solid Earth dynamics particularly regarding outer core viscosity in tidal and rotational dynamics. Contact: He can be reached at da380@cam.ac.uk for research inquiries and collaboration opportunities.

Gabi LaskeView profile

Professor

• Seismology
• Geophysics
• Earth's Internal Structure
• +8 more

Gabi Laske is a Professor at the Institute of Geophysics and Planetary Physics (IGPP), Scripps Institution of Oceanography (SIO), University of California, San Diego (UCSD). She is a leading researcher in seismology and geophysics, with a focus on Earth's internal structure, crustal and mantle modeling, and ocean-bottom seismology. Her work has significantly advanced global crustal models, including CRUST5.1, CRUST2.0, and CRUST1.0. Her research interests include seismology, geophysics, Earth's internal structure, surface wave tomography, normal mode analysis, crustal and lithospheric modeling, ocean bottom seismology, mantle plumes, inner core rotation, ambient noise seismology, and earthquake signal processing. She has led major projects such as the Hawaiian PLUME and SWELL experiments, utilizing ocean-bottom seismometers to study mantle dynamics and lithospheric rejuvenation. Her work on inner core differential rotation, particularly with Guy Masters, has been published in top journals like Nature and Science . The 15 most recent publications reflect a strong trend in ocean-bottom seismology, ambient noise analysis, instrument calibration, seismic signal quality, and imaging of crustal and mantle structure. Her work combines observational seismology with advanced signal processing and modeling techniques, often in collaboration with students and international teams. She has made significant contributions to understanding seismic anisotropy, normal modes, and the structure of volcanic and tectonic regions. Funded by NSF (OCE, EAR, CSEDI, MG&G) Collaborative projects with USGS, international institutions Advisor to PhD students, including Adrian Doran Lead developer of DLOPy for OBS orientation Contributor to global reference models (CRUST1.0, LITHO1.0) Gabi Laske has made enduring contributions to geophysics through her development of global crustal models, leadership in major seismic experiments, and mentorship of the next generation of seismologists. Her work continues to shape our understanding of Earth's deep interior and surface processes.

Keming YuView profile

Professor

• Quantile Regression
• Bayesian Statistics
• Survival Analysis
• +12 more

Keming Yu is a Professor and Chair in Statistics at the Department of Mathematics, Brunel University London, within the College of Engineering, Design and Physical Sciences. He is also the Impact Champion for REF in Mathematical Sciences. He joined Brunel in 2005 after holding positions at the University of Plymouth, Lancaster University, and The Open University. He earned his PhD from The Open University and earlier degrees in Mathematics and Statistics from Chinese institutions. PhD in Statistics – The Open University, UK MSc in Statistics – China BSc in Mathematics – China His research centers on quantile regression, Bayesian modeling, survival analysis, and statistical methods for big data . His work spans applications in health, finance, environment, and social sciences. He has made significant contributions to robust and flexible regression methods, including expectile, mode, and censored quantile regression. His recent publications (2023–2025) show a strong focus on streaming data, spatiotemporal modeling, high-dimensional data, and Bayesian methods . He frequently publishes in top-tier journals such as the Journal of the Royal Statistical Society Series A, B, and C , Statistica Sinica , and Computational Statistics and Data Analysis . His work often involves collaboration with international researchers, especially in China and Europe. He has contributed to methodological discussions in leading statistical journals, demonstrating active engagement with the academic community. His work on financial risk, environmental statistics, and health data analysis reflects interdisciplinary impact. Reviewed and contributed to discussions on safe testing, confidence sequences, and betting-based inference. Active in developing methods for nonignorable missing data, censored models, and functional covariates. He supervises PhD students and is involved in teaching and curriculum development, including as Course Director for the MSc Statistics with Data Analytics. His research is supported by extensive publication output and academic service. He leads or contributes to research on Bayesian models, robust regression, and scalable methods for big data , often involving collaborations in interdisciplinary teams. His lab or research group focuses on statistical methodology development with real-world applications.

Miaki IshiiView profile

Professor

• Seismology
• Geophysics
• Earthquake Studies
• +5 more

Miaki Ishii is a Professor of Earth and Planetary Sciences at Harvard University, affiliated with the Department of Earth and Planetary Sciences. She leads the Harvard Seismology Group and has held academic roles at Harvard since 2006, progressing from Assistant to Associate Professor and then Full Professor. Education: Ph.D. in Geophysics (2003), Harvard University Hon.B.Sc. in Physics (1998), University of Toronto Research Interests: Ishii specializes in seismic imaging of Earth's internal structure, including the mantle and core. Her work focuses on earthquake mechanisms, signal processing, and theoretical seismology. She uses seismic data to study rupture dynamics, subduction zone processes, and free oscillations of the Earth. Key Contributions: Notable projects include analyzing the 2011 Tohoku-Oki earthquake rupture, developing the DigitSeis software for analog seismogram digitization, and studying inner core anisotropy using normal mode splitting. Her research integrates high-performance computing and waveform inversion techniques. Awards: James B. Macelwane Medal (2009) Kavli Fellow (2012) Charles F. Richter Award (2008) Alice Wilson Award (2004) Labs/Teams: Directs the Harvard Seismology Group, collaborating internationally on seismic networks like Hi-net and USArray. Her work bridges computational seismology with observational geophysics.

Sijia GengView profile

Assistant Professor

• Power Systems
• Control Theory
• Nonlinear Dynamical Systems
• +4 more

Sijia Geng is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at Johns Hopkins University (JHU) and a core researcher at the Ralph O’Connor Sustainable Energy Institute (ROSEI). She directs the Power and Energy Network Systems Analysis (PENSA) Laboratory and co-leads the NSF-funded Electric Power Innovation for a Carbon-free Society (EPICS) Center as co-PI. Her research focuses on integrating control theory, mathematical analysis, and optimization to enhance renewable energy utilization and grid resiliency. Education: Ph.D. and M.S. (ECE & Mathematics) from the University of Michigan-Ann Arbor (2016–2022), B.S. in Automation from Harbin Institute of Technology (2016). Postdoctoral work at MIT (2022) and visiting scholar roles at Purdue University (2015) and Pacific Northwest National Lab (2018). Research Interests: Dynamic analysis of inverter-based power systems, nonlinear control theory, data-driven decision-making, and multi-energy systems. Her work emphasizes achieving autonomous, resilient energy systems through advanced computational tools and theoretical frameworks. Awards: Best Paper Award at MIT/Harvard Applied Energy Symposium (2022), MIT Rising Stars in EECS (2021), Barbour Scholarship (2021), Towner Prize (2018), and Gerald and Esther Forrest Fellowship (2016). She is active in IEEE and INFORMS, organizing sessions at PES General Meeting and CISS conferences. Grants & Collaborations: Funded by NSF, DOE, MIT Energy Initiative, and industry. Leads global initiatives through EPICS, collaborating with UK, Australian, and international stakeholders. Co-leads ROSEI’s Grid pillar to advance fossil-free energy systems. Labs & Teams: Directs PENSA Lab, affiliated with JHU’s Data Science and AI Institute, Applied Mathematics & Statistics, and Computer Science departments.

Ying WuView profile

Professor

• Nonlinear Dynamics of Charged Particle Beams
• Coherent Radiation Sources
• Accelerator Physics
• +3 more

Ying Wu is a Professor of Physics at Duke University within the Trinity College of Arts & Sciences . His research focuses on the nonlinear dynamics of charged particle beams , coherent radiation sources , and the development of novel accelerators and light sources using advanced mathematical frameworks like Lie Algebra, Differential Algebra, and Frequency Analysis. His work has significantly enhanced understanding of nonlinear phenomena in light source storage rings and collider rings, with applications in Gamma-ray source development Free-electron laser (FEL) technology Beam stability and diagnostics VUV mirror protection systems Polarization-controlled radiation sources High-reflectivity cavity design Recent publications highlight experimental and theoretical advances in Orbital angular momentum beam generation Photonuclear cross-section measurements Storage ring lattice optimization Multi-color FEL operation Longitudinal beam instability control Differential algebra for particle dynamics Current research programs include collaborations with the High Intensity Gamma-ray Source (HIγS) facility and the Triangle Universities Nuclear Laboratory , with active grants from the Department of Energy (1997–2027), National Institutes of Health (2024–2026), and Ian's Friends Foundation (2024–2025). Ying Wu's laboratory specializes in Free-electron laser cavity design Gamma-ray beam characterization Storage ring diagnostics systems High-current electron beam control Polarization-sensitive detection Next-generation light source development