Find Academic Supervisors

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.

Joshua BrinkerhoffView profile

Associate Professor

• Computational Fluid Dynamics
• Turbomachinery
• Multiphase Turbulent Flows
• +7 more

Dr. Joshua Brinkerhoff is an Associate Professor in Mechanical Engineering at the University of British Columbia Okanagan Campus. He serves as the Associate Director for Research & Industrial Partnerships in the School of Engineering and leads the UBC-Okanagan Computational Fluid Dynamics Laboratory. His research spans computational fluid dynamics, turbomachinery, multiphase flows, hydrogen safety, wind energy, and biofluid mechanics. He teaches courses in mechanics of materials, alternative energy systems, turbulence, computational fluid dynamics, and aircraft design. PhD, Aerospace Engineering (Carleton University, Ottawa, ON) BEng, Aerospace Engineering (Carleton University) Dr. Brinkerhoff’s research interests include: Computational Fluid Dynamics (CFD) for laminar-to-turbulent transition and instability analysis Wind energy systems and turbine aerodynamics Hydrogen storage and safety protocols for transportation Biofluid mechanics for respiratory diseases and aneurysm modeling Multiphase flows in industrial and environmental contexts His publications focus on CFD simulations for: Aerosol dispersion and mitigation in indoor environments Wind farm interactions and atmospheric gravity waves Cavitation and phase transitions in cryogenic and LNG systems Heat transfer optimization in industrial and thermal systems Instability dynamics in buoyancy-driven and swept flows Turbulent structures in fluidized beds and reactors Dr. Brinkerhoff has no listed scientific awards in the provided data but has extensive contributions to renewable energy, hydrogen safety, and medical fluid dynamics. His laboratory develops open-source tools like TOSCA for large-eddy simulations and investigates practical applications in urban air quality, dental aerosol control, and turbine wake modeling.

Tim CohenView profile

Associate Professor

• Particle Physics
• Large Hadron Collider Phenomenology
• Effective Field Theory
• +5 more

Tim Cohen is an Associate Professor of Physics at the University of Oregon, with affiliations at CERN and EPFL's Lausanne Theory Physics Laboratory. He is based at the Institute for Fundamental Science within the Department of Physics at the University of Oregon's College of Arts and Sciences. His research focuses on theoretical particle physics, particularly exploring phenomena beyond the Standard Model. Dr. Cohen's research interests center on particle physics beyond the Standard Model, with specific expertise in Large Hadron Collider phenomenology, effective field theory, electroweak naturalness, and dark matter. His work bridges theoretical frameworks with experimental possibilities at major particle physics facilities. His research program encompasses both theoretical developments in quantum field theory and practical applications to collider physics and cosmology. Analysis of his recent publications reveals a strong focus on effective field theory applications, de Sitter space physics, and dark sector phenomenology. His work demonstrates sophisticated mathematical approaches to problems in quantum field theory while maintaining connections to observable phenomena at particle colliders and in cosmological settings. He frequently collaborates with researchers across institutions including CERN, EPFL, and various US universities. Dr. Cohen serves as a senior researcher with active roles at multiple institutions, contributing to major collaborative efforts such as the Snowmass community planning process for particle physics. His work appears in leading journals including Journal of High Energy Physics, Physical Review D, and Physics Letters B, demonstrating consistent productivity and impact in the field. His research group operates within the Institute for Fundamental Science at the University of Oregon, with additional connections to theoretical physics groups at CERN and EPFL. This international collaboration network enables him to work at the intersection of theoretical developments and experimental frontiers in particle physics.

• Atomic, Molecular, Nuclear, Particle and Plasma Physics
• Mathematical Physics
• Quantum Physics
• +3 more

Professor Kellogg Stelle is a distinguished academic in the Department of Physics at Imperial College London, affiliated with the Faculty of Natural Sciences. He holds the title of Professor of Physics and is part of research groups including the Physics of Universe and Theoretical Physics. His academic career includes a PhD from Brandeis University (1972–1977) and an AB in History and Science from Harvard University (1966–1970). His research focuses on Atomic, Molecular, Nuclear, Particle and Plasma Physics; Mathematical Physics; Quantum Physics; Astronomical and Space Sciences; Pure and Applied Mathematics. He has made significant contributions to supergravity, string theory, and cosmology, exploring topics like higher-order gravity, braneworld models, and quantum gravity phenomena. His work often bridges theoretical frameworks and cosmological implications, emphasizing unification theories and symmetry principles. Professor Stelle’s publications reflect a deep engagement with advanced topics such as compactification on Calabi-Yau manifolds, localized gravity in braneworld scenarios, and the ultraviolet problem in supergravity. His research often intersects with cutting-edge areas like quantum geometry and holography, contributing to foundational debates in theoretical physics. Affiliations include the Physics of Universe and Theoretical Physics groups at Imperial College, reflecting his interdisciplinary approach to fundamental physics. He is fluent in French, Russian, Italian, and German, enhancing his international collaborations.

Alexander J. HarteminkView profile

Professor

• Computational Biology
• Machine Learning
• Genomics
• +5 more

Professor Alexander J. Hartemink holds dual appointments in the Department of Computer Science and Department of Biology at Duke University, Trinity College of Arts & Sciences. He is also a Bass Fellow in Computer Science. His research focuses on computational biology, machine learning, and systems biology, with applications to genomics, epigenomics, and transcriptional regulation. Hartemink leads the Duke Office of University Scholars and Fellows and has directed the Computational Biology and Bioinformatics graduate program. He earned a PhD from MIT (2001), MPhil from the University of Oxford (1996), and BS from Duke (1994). Research Interests His work integrates computational methods to study chromatin dynamics, transcriptional networks, and epigenetic mechanisms. Key areas include modeling chromatin accessibility, predicting transcription factor binding, and understanding cell-cycle regulation. Techniques employed include Bayesian networks, dynamic systems modeling, and machine learning algorithms. Publications & Trends Recent work emphasizes single-cell multi-omics integration, chromatin occupancy modeling (RoboCOP framework), and transcriptional regulation in response to genetic perturbations. Themes include epigenetic plasticity, disease-associated enhancers, and systems-level analysis of gene expression. Awards & Grants Hartemink has received the Sloan Research Fellowship (2005) and NSF CAREER Award (2004). Active grants include NIH funding for chromatin-transcription interplay studies and NSF support for regulatory genome research. He collaborates on projects like the Data+ initiative, promoting interdisciplinary data science. Affiliations & Labs Associated with Duke’s Center for Genomic and Computational Biology and Center for Advanced Genomic Technologies. His lab develops computational tools for genomic analysis, including software for chromatin modeling and epigenetic data integration.

Oscar DiasView profile

Professor

• Theoretical Physics
• General Relativity
• Black Holes
• +4 more

Professor Oscar Dias is a faculty member in the Department of Mathematical Sciences at the University of Southampton. His research focuses on Einstein's gravity, black holes, holographic dualities, and gravitational aspects of string theory. He actively supervises PhD students in mathematical sciences and holds grants from the Science and Technology Facilities Council (STFC), including projects like 'New Frontiers in Particle Physics, Cosmology and Gravity.' His work explores topics such as cosmic censorship, black hole dynamics, and numerical general relativity, with recent contributions published in journals like Physical Review Letters and Journal of High Energy Physics . Key research interests include the study of black hole binaries in de Sitter space, the stability of charged black holes, and the interplay between holographic dualities and quantum field theories. His projects often involve collaborations with leading institutions, addressing foundational questions in theoretical physics and cosmology. Professor Dias is a member of the Southampton Theory Astrophysics and Gravity (STAG) Research Centre and the String Theory and Holography group. His articles highlight advancements in understanding gravitational wave phenomena, quasinormal modes, and the behavior of black holes under various physical conditions. He currently accepts PhD applications and can be contacted via O.J.Campos-Dias@soton.ac.uk.

Lawrence H. StaibView profile

Professor

• Medical Image Analysis
• Machine Learning
• Nonrigid Registration
• +6 more

Lawrence H. Staib is a Professor of Biomedical Engineering at Yale University, with additional academic appointments in Electrical & Computer Engineering and Radiology & Biomedical Imaging. He holds a Ph.D. from Yale University and specializes in automated medical image analysis, including techniques like model-based segmentation, nonrigid registration, and diffusion tensor imaging (DTI). His research focuses on applications in neuroscience, cardiology, and cancer imaging, emphasizing machine learning and functional MRI analysis. His key contributions include advancements in white matter tractography via anisotropic wavefront evolution, real-time neural tract parcellation (Fasciculography), and noise reduction in diffusion tensor fields. Staib is a Fellow of the American Institute for Medical and Biological Engineering (2015), recognizing his impactful work in medical imaging technologies. Staib's research also encompasses statistical deformation models, perturbation-based shape analysis, and 3D deformable models for volumetric segmentation. He has developed patented 3D ultrasound computed tomography systems (USPTO #6878115, 7025725). His work bridges clinical needs with computational methods, addressing challenges in image registration, structural connectivity analysis, and medical robotics.

• Computational Mechanics
• Scaled Boundary Finite-Element Method
• Dynamic Soil-Structure Interaction
• +5 more

Professor Chongmin Song is a faculty member at the University of New South Wales (UNSW), affiliated with the School of Civil and Environmental Engineering. His academic rank is Professor, and he specializes in computational mechanics with a focus on innovative numerical methods. He holds a BE and ME from Tsinghua University and a DEng from the University of Tokyo. His research explores computational mechanics, fracture analysis, wave propagation, and soil-structure interactions. Key methodologies include the Scaled Boundary Finite Element Method (SBFEM), image-based modeling, and dynamic simulations of infrastructure systems. He leads significant ARC-funded projects like 'A scaled boundary framework for nonlinear dynamic analysis of structures' (DP250100955) and 'Developing sustainable graded porous cementitious structures' (LP240100123), totaling over $1M in recent grants. Recent publications emphasize adaptive modeling techniques, multiphysics simulations, and high-performance computing applications. Trends include topology optimization for structural dynamics, phase-field fracture modeling for brittle materials, and GPU-accelerated elastodynamics. His work integrates computational efficiency with real-world engineering challenges, particularly in geomechanics and material failure analysis. Professor Song collaborates extensively on projects involving computational fracture mechanics and maintains laboratories focused on numerical simulation advancements. Future work targets scalable algorithms for 3D crack propagation and multiphysics coupling in infrastructure systems.

Jiawei ZhangView profile

Assistant Professor

• Nonlinear and convex optimization
• Optimization for machine learning
• Reinforcement learning
• +5 more

Jiawei Zhang is an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin–Madison since May 2025. His research focuses on optimization algorithms for machine learning, adversarial training, reinforcement learning, and distributed systems. Ph.D. in Computer and Information Engineering, Chinese University of Hong Kong, Shenzhen (2021) B.Sc. in Mathematics (Hua Loo-Keng Talent Program), University of Science and Technology of China His work spans nonconvex optimization , robust machine learning , and data-driven decision-making , with applications to AI and sustainable energy systems. Recent publications at ICML 2025 address stochastic primal-dual methods and contextual optimization robustness, while earlier works explore bilevel optimization, reward learning, and distributed consensus algorithms. Scientific awards include: MIT Postdoctoral Fellowship For Engineering Excellence (2023) CUHK-Shenzhen Presidential Award for Outstanding Doctoral Students (2021) SRIBD PhD Fellowship (2020-2021) CUHK-Shenzhen Outstanding Teaching Assistant (2023) He supervises undergraduate researchers and seeks graduate students with strong mathematical or algorithmic backgrounds for 2025 admission, emphasizing optimization and AI-driven applications.

• Quantum Chromodynamics (QCD)
• Heavy Quark Physics
• Lattice Gauge Theory
• +4 more

Antonio Vairo is a full Professor at the Department of Physics, TUM School of Natural Sciences, Technical University of Munich, where he holds the Chair of Theoretical Physics - Applied Quantum Field Theory (T39) at the James-Franck-Str. 1/I campus in Garching bei München. His research focuses on the theoretical foundations of quantum chromodynamics with emphasis on heavy quark systems and non-perturbative phenomena. Professor Vairo's primary research interests include Quantum Chromodynamics (QCD), Heavy Quark Physics, Lattice Gauge Theory, Effective Field Theories, and Exotic Hadron Spectroscopy. His work bridges computational approaches with analytical frameworks to investigate quarkonium dynamics in extreme environments like the quark-gluon plasma, while developing novel applications of Born-Oppenheimer effective theory to multi-quark systems. Recent investigations extend into dark matter bound state formation in the early universe, demonstrating interdisciplinary reach across particle physics and cosmology. Analysis of his 2024-2025 publications reveals three dominant research thrusts: (1) quarkonium suppression mechanisms in heavy-ion collisions using open quantum systems approaches, (2) high-precision lattice QCD computations of static forces and chromoelectric correlators, and (3) systematic development of effective field theories for exotic hadrons and dark matter pairs. His work on pNRQCD (potential non-relativistic QCD) provides critical connections between lattice results and experimental observables in heavy-ion physics. Professor Vairo maintains active research leadership through collaborations with international groups including the Belle II experiment, as evidenced by his contributions to 'The Belle II Physics Book'. His methodological innovations in applying quantum trajectory methods to quarkonium evolution and developing FeynOnium computational tools for effective field theories demonstrate significant technical contributions to the field. Current research directions emphasize next-to-leading order corrections in heavy quark dynamics and Debye mass effects in dark matter bound state formation.

Oliver SchlottererView profile

Associate Professor

• Theoretical Physics
• String Theory
• Mathematical Physics
• +3 more

Oliver Schlotterer holds the position of Associate Professor at Uppsala University, affiliated with both the Department of Mathematics (Centre for Geometry and Physics) and the Department of Physics and Astronomy (Theoretical Physics). His research focuses on theoretical physics and mathematical structures in string theory, particularly exploring string amplitudes, modular forms, and algebraic geometry. He has contributed to understanding one-loop string amplitudes, modular graph forms, and supersymmetric field theories. Education: Not explicitly detailed in the provided text. Departments: Joint appointment in Mathematics and Theoretical Physics. His research interests include the interplay between string theory and mathematical frameworks like modular forms, algebraic geometry, and polylogarithmic functions. Recent work emphasizes chiral-splitting techniques, cyclic products of kernels, and the coaction principle in scattering amplitudes. Collaborations span topics from supersymmetric Yang-Mills theories to Einstein-Yang-Mills systems. Publications highlight advancements in string perturbation theory, including studies on non-holomorphic modular forms, genus-one integrals, and the single-valued map in string theory. His work often bridges high-energy physics with number-theoretic structures, such as zeta functions and Poincaré series. No awards or grants are listed in the provided data. He advises no students explicitly mentioned, though his collaborative research suggests involvement in training through projects. Active in the Centre for Geometry and Physics and theoretical physics groups, his research explores foundational aspects of string theory and their mathematical implications.

Gheorghe CraciunView profile

Professor

• Mathematical Biology
• Dynamical Systems
• Chemical Reaction Networks
• +3 more

Gheorghe Craciun is a Professor in the Department of Mathematics and the Department of Biomolecular Chemistry at the University of Wisconsin-Madison. His research focuses on mathematical and computational models in biology and medicine, particularly dynamical systems models of biological interaction networks. He has been a visiting researcher at the Max Planck Institute for Mathematics in the Sciences during the 2019-2020 academic year and has organized the Madison Workshops on Mathematics of Reaction Networks. Craciun's primary research interests include Mathematical Biology, Dynamical Systems, Chemical Reaction Networks, Computational Biology, Systems Biology, and Algebraic Geometry. He investigates systems of differential equations with polynomial right-hand sides, which are common in biochemical reaction networks, ecological interactions, and epidemiological models. His work often involves proving global stability, analyzing multistability, and characterizing steady states using tools from algebraic geometry and combinatorics. Recent publications demonstrate his focus on toric differential inclusions, endotactic networks, and the global attractor conjecture, extending to applications in biochemical networks and discrete Boltzmann equations. His extensive publication record reveals a strong trend toward algebraic and geometric methods for analyzing complex biological networks, with significant contributions to reaction network theory, stability analysis, and parameter characterization. Craciun's work bridges abstract mathematical concepts with practical applications in biochemistry, ecology, and medicine, including modeling vitellogenin production in trout and peptide mass distributions. He has collaborated extensively with international researchers including Alicia Dickenstein, Anne Shiu, Bernd Sturmfels, Casian Pantea, and Miruna-Stefana Sorea. In education, Craciun teaches graduate courses such as Math 703 and mentors students through the Madison Math Circle and Putnam Club, while organizing specialized workshops that foster collaboration in reaction network theory.

Gianni Dal MasoView profile

Professor

• Calculus of Variations
• Semicontinuity and Relaxation Problems
• Gamma-convergence
• +5 more

Gianni Dal Maso is a Professor of Mathematical Analysis at the International School for Advanced Studies (SISSA) in Trieste, Italy. He has been a faculty member at SISSA since 1985, first as Associate Professor and then as Full Professor since 1987. He has held several leadership positions at SISSA including Head of the Sector of Functional Analysis and Applications (1993-1998, 2001-2010), Deputy Director (2010-2015), and Coordinator of the Mathematics Area (2016-2020). His educational background includes: 1973-1977: Undergraduate student in Mathematics at the University of Pisa and Scuola Normale Superiore 1977: Degree in Mathematics with honors at the University of Pisa (thesis: "Gamma-limits of set functions," advised by Ennio De Giorgi) 1977: "Diploma" in Mathematics from the Scuola Normale Superiore 1977-1981: Post-graduate Research Fellowship in Mathematics ("Perfezionamento") at the Scuola Normale Superiore Dal Maso's research focuses on the Calculus of Variations, with particular emphasis on semicontinuity and relaxation problems, Gamma-convergence, and more recently, free discontinuity problems and their applications to mechanics. His work bridges pure mathematical analysis with practical applications in material science, particularly in plasticity and fracture mechanics. He has developed mathematical frameworks for understanding crack propagation, material failure, and the behavior of solids under stress, contributing significantly to both theoretical foundations and practical modeling approaches in these areas. His extensive publication record shows a clear evolution from foundational work in Gamma-convergence (culminating in his influential book "An Introduction to Gamma-Convergence" in 1993) toward increasingly sophisticated models of material behavior, particularly in fracture mechanics and plasticity. Recent work demonstrates continued innovation in handling complex discontinuities, non-local effects, and multi-scale phenomena in material science applications. Among his notable scientific recognitions: 1982: Stampacchia Prize, awarded by the Scuola Normale Superiore 1990: Caccioppoli Prize, awarded by the Italian Mathematical Union 1996: Medaglia dei XL per la Matematica, awarded by the Accademia Nazionale delle Scienze detta dei XL 2003: Prize of the Minister for the Cultural Heritage for Mathematics and Mechanics, awarded by the Accademia Nazionale dei Lincei 2005: Prize Luigi and Wanda Amerio, awarded by the Istituto Lombardo Accademia di Scienze e Lettere Dal Maso has supervised 42 PhD students at SISSA, demonstrating a strong commitment to academic mentorship. His research has been significantly supported by multiple National Research Projects (PRIN) in Italy, and notably by an ERC Advanced Grant "Quasistatic and Dynamic Evolution Problems in Plasticity and Fracture" (QuaDynEvoPro) from 2012-2017, where he served as Principal Investigator. This major project focused on nonlinear evolution problems in plasticity and fracture, with three main research directions: plasticity with hardening and softening, quasistatic crack growth, and dynamic fracture mechanics. His scholarly activities extend to editorial service, with membership on the boards of numerous prestigious journals including Archive for Rational Mechanics and Analysis, SIAM Journal on Mathematical Analysis, and Journal of Convex Analysis. He has also been active in the mathematical community through membership in scientific committees and academies, including the Accademia Nazionale dei Lincei since 2014.

• Plant Developmental Biology
• Epigenetics
• Plant Genetics
• +5 more

Ueli Grossniklaus is an Ordinary Professor at the University of Zurich within the Faculty of Mathematical and Natural Sciences , affiliated with the Department of Plant and Microbiology . His work focuses on plant developmental biology, particularly epigenetic and genetic mechanisms governing reproduction and adaptation. Key Courses: Epigenetics, Plant Biology Workshop, Group Seminars on Current Research Laboratory Techniques: Advanced methods in plant cell mechanics, transcriptomics, and genome editing Research Interests span plant epigenetics, reproductive biology, and the interplay between environmental stress and genetic regulation. He investigates: Mechanistic control of gametogenesis and fertilization Epigenetic contributions to plant adaptation Evolutionary implications of asexual reproduction Biophysical forces in plant cell growth Publication Trends (2025–2018) reveal expertise in: Arabidopsis and fern model systems Epigenetic regulation (DNA methylation, histone dynamics) Apomixis and hybrid seed failure mechanisms Biomechanics of pollen tubes and carnivorous plants Genome editing tools (CRISPR) and long-read sequencing Scientific Collaborations include interdisciplinary projects on: Microfluidic devices for plant cell analysis Gene drive ecology and ethics 3D imaging of plant reproductive structures Advising and Grants focus on mentoring through research internships in developmental biology, genetics, and systems biology. His lab engages in: Epigenetic response to environmental stress Cell wall mechanics in reproduction Computational modeling of plant growth Laboratory Teams integrate plant biologists, bioengineers, and computational scientists to study: Mechanistic gene regulation Evolutionary developmental biology Microrobotics for cellular force measurement

Eleonora Di ValentinoView profile

Research Fellow

• Cosmology
• Dark Energy
• Dark Matter
• +3 more

Dr. Eleonora Di Valentino is a Senior Research Fellow at the University of Sheffield's School of Mathematical and Physical Sciences, specializing in cosmology and fundamental physics. Her research focuses on resolving cosmological tensions, particularly the Hubble constant discrepancy, by exploring dynamical dark energy models, dark matter interactions, and cosmic microwave background (CMB) anomalies. She leads analyses combining cutting-edge datasets like DESI BAO and gravitational wave observations to probe the universe's evolution. Key research interests include: Interacting dark energy models and their observational signatures CMB anisotropies and their implications for early universe physics Neutrino mass constraints and dark matter thermodynamics Modified gravity approaches to cosmological tensions Multimessenger cosmology using BAO and gravitational wave data Her work highlights trends in addressing the Hubble tension via late-time dark sector interactions and non-standard dark matter behavior. She actively contributes to collaborative projects like the CosmoVerse initiative and the Dark Energy Survey (DES). Dr. Di Valentino's research group affiliation is the Cosmology, Relativity, and Gravitation (CRAG) group, where she develops novel methodologies for cosmological parameter estimation and model testing.