Find Academic Supervisors

• Black holes
• Boundary value problems
• Differential equations
• +6 more

Lorenzo Mazzieri is a Full Professor of Mathematical Analysis at the Department of Mathematics, University of Trento. His academic career includes roles as Assistant Professor (2011–2015) and Associate Professor (2015–2021) at the Scuola Normale Superiore of Pisa and University of Trento, respectively. His expertise spans Black holes, Differential geometry, General relativity, and Nonlinear elliptic PDEs. Education: He holds a Mathematics degree with merits from the University of Parma (2004) and a Ph.D. cum laude in Mathematics from Scuola Normale Superiore of Pisa (2008), with joint supervision from Université Paris 12. His postdoctoral positions included the Max Planck Institute for Gravitational Physics (2008–2009) and Scuola Internazionale Superiore di Studi Avanzati (SISSA) in Trieste (2009–2010). Research interests focus on geometric analysis, PDEs on manifolds, and applications to relativity. His work bridges differential geometry with problems like the Serrin conjecture, Penrose inequality, and Minkowski inequalities. Recent studies include geometric flows, capacity theory, and spacetime uniqueness. Publications highlight contributions to geometric inequalities, PDEs, and relativistic physics, with a focus on manifold analysis and nonlinear potential theory. His articles address topics such as p-capacity asymptotics, Riemannian Penrose inequality, and Schwarzschild–de Sitter uniqueness. Professional activities include teaching at the Scuola Normale Superiore and leadership in research programs like the FIRB-IDEAS initiative. He has advised doctoral students and contributed to international collaborations in geometric analysis and mathematical physics.

Pengfei FanView profile

Lecturer

• Computational Imaging
• Low-level Vision
• Image Restoration and Enhancement
• +3 more

Dr. Pengfei Fan is a Lecturer in Data Science and AI at Queen Mary University of London (QMUL). He holds a PhD from QMUL (2021), focusing on learning-based imaging through dynamic scattering media. He previously served as an Assistant Professor at Xi'an Jiaotong-Liverpool University (2022–2024) and as a Research Associate at Nanjing University of Science and Technology (2021–2022). He also held a Visiting Researcher position at Tsinghua University (2020). His research interests span computational imaging, low-level vision, and medical imaging applications. He has secured grants such as the President and Principal’s Fund for Educational Excellence (2024) and collaborates with organizations like EPSRC, Royal Society, NSFC, and Jiangsu Science and Technology Programme. Pengfei is an active member of academic societies (IEEE, IET, BMVA, OSA, SPIE, IAPR) and holds Fellow status with the Higher Education Academy (FHEA). He contributes to educational initiatives via roles at QMUL-BUPT Joint Teaching and Learning Centre and the Centre for Excellence in AI in Education. His recent work emphasizes diffusion models, medical image segmentation, and competition-based learning in education. He welcomes PhD applications through CSC, CONACYT, and HEC.

• Topological Condensed Matter Physics
• Quantum Many-Body Systems
• Majorana Fermions
• +4 more

Jay Sau is a Professor of Physics and Co-Director of the Joint Quantum Institute (JQI) at the University of Maryland. He holds a Ph.D. from UC Berkeley (2008). His research focuses on topological condensed matter physics, quantum many-body systems, and Majorana fermions for quantum information processing. He is affiliated with the Condensed Matter Theory Center (CMTC) and has pioneered work on topological superconductivity in semiconductor-superconductor hybrids. Key roles include Co-Director of JQI and Fellow at CMTC. Research interests emphasize applying topological principles to create protected quantum systems. Awards include NSF CAREER Award (2016) and Sloan Fellowship (2016). Advises four graduate students and collaborates on quantum computing platforms. Publications span topological superconductors, Majorana modes, and Weyl semimetals. Current projects investigate disorder effects in Majorana nanowires and machine learning for topological material design.

Mary R. AlbertView profile

Professor

• Climate Science
• Glaciology
• Polar Engineering
• +3 more

Mary R. Albert is a Professor of Engineering at Dartmouth College's Thayer School of Engineering and serves as Executive Director of the US Ice Drilling Program. She holds a BS in Mathematics from Pennsylvania State University (1975), BE and MS in Engineering Sciences from Dartmouth (1983), and a PhD in Applied Mechanics from UC San Diego (1991). Her research focuses on snow/firn physics, ice core analysis, climate adaptation, and polar engineering. She has pioneered innovations in ice drilling technologies and led major Antarctic and Greenland expeditions. Dr. Albert has received prestigious awards including the National Research Council's Lifetime National Associate designation and the IEEE Best Journal Paper Award. Her work bridges engineering and climate science, addressing challenges like energy transitions in Arctic communities and climate adaptation strategies for coastal regions. She chairs key committees such as the US National Committee for the International Polar Year and serves on the National Science Foundation's Polar Programs Advisory Committee. Notable projects include the Norwegian-US Antarctic Traverse and the WAIS Divide Ice Core Project. Dr. Albert's contributions extend to education and policy, co-leading the Joint Science Education Project and developing decision-making tools for federal climate adaptation initiatives. She actively collaborates across disciplines, integrating technical innovation with environmental stewardship in polar regions.

Joel YangView profile

Professor

• Nanophotonics
• Nano Optics
• Nanoplasmonics
• +7 more

Joel Yang is a Professor and Associate Head of Pillar (EPD) at the Singapore University of Technology and Design (SUTD), with a joint appointment as Principal Scientist I at A*STAR's Institute of Materials Research and Engineering (IMRE). He leads research in nanophotonics, nanoplasmonics, and 3D nanoprinting, with pioneering work in plasmonic color printing achieving record 100,000 dpi resolution. His lab focuses on sub-10-nm nanofabrication, optical security, and metamaterials. Educated at MIT (PhD 2009, MSc 2005) and NTU (BEng 2003), he holds key roles as Associate Editor of Science Advances and Optics Express . Awards include OSA Fellow (2020), NRF Investigatorship (2020), TR35@Singapore (2012), and the Singapore Young Scientist Award (2012). Research interests span structural color printing, nanofabrication techniques, and optical security applications. His work bridges material science, nanotechnology, and photonics, with over 200 publications in high-impact journals like Nature Communications , Advanced Materials , and ACS Nano . Key achievements include developing the 'salty-developer' method for high-resolution e-beam lithography and 3D-printed photonic crystals with complete visible bandgaps. He advises numerous PhD students, advancing innovations in nanoscale optics and security printing technologies.

Josep Maria Porta PleiteView profile

Researcher

• Motion Planning
• Computational Robotics
• Robot Kinematics
• +7 more

Josep Maria Porta Pleite is an Associate Researcher at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of the Spanish National Research Council (CSIC) and Universitat Politècnica de Catalunya (UPC). He leads the Kinematics and Robot Design (KRD) research group and has been actively contributing to robotics and computational kinematics since 2007. His work bridges theoretical algorithm development and practical applications in robotics, molecular biology, and environmental toxicology. Porta’s research spans motion planning , robot kinematics , SLAM , and planning under uncertainty . He has made significant contributions to solving complex kinematic problems in closed-chain systems and molecular conformational spaces. His work often involves developing efficient algorithms and open-source software tools such as the CuikSuite , Cuik-KDtree , and Pose SLAM , which are widely used in robotics research. His recent publications (2019–2025) reveal a strong trend toward interdisciplinary applications, particularly in zebrafish behavioral analysis and neurotoxicology , where computational methods are applied to assess environmental contaminants. He also continues to advance core robotics problems, including trajectory optimization, hand-eye calibration, and closed-form solutions in rotation geometry. His work appears in top-tier journals such as IEEE Transactions on Robotics , Mechanism and Machine Theory , and Science of the Total Environment . Porta has served as an associate editor for IEEE Transactions on Robotics (2015–2018) and has supervised numerous students and collaborators. He has led long-term software development efforts and secured research funding through national and European projects. Scientific Contributions: Lead developer of the CuikSuite for motion analysis of closed-chain systems. Coordinator of the KRD research group since 2011. Contributor to ambient intelligence and robot localization during his postdoc at the University of Amsterdam. He advises multiple students in robotics, computer vision, and biomedical applications, and his team develops tools for path planning, singularity analysis, grasp optimization, and molecular modeling. There is no indication of part-time status, retirement, or former affiliation.

David HoView profile

Researcher

• Atmospheric and Earth system modeling
• Carbon cycle
• Atmospheric dynamics
• +3 more

David Ho is a Doctoral Researcher at the Max Planck Institute for Biogeochemistry, affiliated with the Biogeochemical Signals (BSI) Department and the Airborne Trace Gas Measurements research group. His work focuses on atmospheric and earth system modeling, the carbon cycle, satellite-based remote sensing, and data assimilation techniques. Education BSc in Mathematics at Soochow University, Taipei, Taiwan (09/2012 - 06/2017) Joint MSc in Mathematical Modeling in Engineering at the University of L'Aquila and University of Hamburg (09/2017 - 09/2019) PhD student at Max Planck Institute for Biogeochemistry, Jena, Germany (02/2020 - Present) Research and Projects : He contributes to the RiGHGorous project, which aims to develop an operational national Integrated Greenhouse Gas Monitoring System for Germany, particularly for the German Weather Service. His research involves high-resolution data assimilation systems, remote sensing data analysis, and ensemble simulations to evaluate greenhouse gas exchanges. He also works on WRG-GHG and ICON-ART simulation projects across Europe and Germany. Presentations : Ho has presented at international conferences, including the EGU General Assembly 2024, DACH2022, and AGU2021, focusing on regional CH4 inversions and reducing transport errors in WRF modeling of greenhouse gases. Contact : Based at the institute's IT Paradies building in Jena, Germany, he can be reached at tzuho@bgc-jena.mpg.de or by phone at +49 3641 57-8943.

Jacques DéverchèreView profile

Professor

• Seismology
• Tectonics
• Salt Tectonics
• +7 more

Jacques Déverchère is a Professor of Seismo-geology at the University of Brest (France), affiliated with the European University Institute of the Sea (IUEM) and the Geo-Ocean Joint Research Unit 6538. He holds dual deputy director roles as Deputy Director for Training at IUEM and Deputy Director of the ISblue University Research School, while coordinating the Hubert Curien Maghreb Partnership. His expertise spans seismicity analysis, tectonic inversion, salt tectonics, and paleoseismology with active fieldwork in Algeria, Liguria, Tanzania, and the Mediterranean Basin. Research focuses on continental margin evolution, crustal structure analysis, and geodynamic processes combining seismic data interpretation, numerical modeling, and field observations. Notable projects include the SPIRAL and SEFASILS cruises investigating Algerian and Ligurian basin structures. He also explores educational innovations using immersive VR for marine science training. Over 100+ publications span 1986–2024, emphasizing: (1) Tectonic inversion mechanisms in convergent margins (Algerian margin), (2) Messinian salt dynamics and their seismic implications, (3) Rift basin evolution in East Africa and South America, and (4) Machine learning applications to seismicity declustering. Active in international committees including CNRS-INSU, Hcéres, and ANR evaluations.

Wei GaoView profile

Professor

• Structural Engineering
• Mechanical Engineering
• Stochastic Analysis and Modelling
• +6 more

Professor Wei Gao is a faculty member at the School of Civil and Environmental Engineering, University of New South Wales. His research focuses on integrating AI and machine learning with structural engineering, stochastic mechanics, composite materials, and infrastructure safety against natural hazards. He leads national research grants including ARC-funded projects on generative design of nondeterministic impacts and data-driven structural safety assessment. Research Interests: AI-driven structural analysis/design Computational uncertainty mechanics Composite materials and metamaterials Infrastructure safety under fire/natural hazards Engineered cementitious composites Grants & Projects: ARC Discovery Projects (e.g., DP240102559, DP210101353) ARC Linkage Projects (e.g., IH210100048, IH200100010) Focus areas: wildfire safety, composite material optimization, circular economy in construction Editorial Roles: Editor-in-Chief of Modelling: An International Journal Associate Editor of Engineering Structures Subject Editor of Applied Mathematical Modelling His work spans computational tools for structural assessment, smart material design, and probabilistic safety frameworks. Current projects address AI-assisted design, sustainable materials, and fire-resilient infrastructure systems.

Thomas GautheyView profile

Researcher

• Topology Optimization
• Electrical Engineering
• Magnetic Devices
• +3 more

Thomas Gauthey is a Researcher at the Laboratory of Electrical and Electronic Engineering of Paris (L2EP), a joint research unit (UMR 8530) of the French National Centre for Scientific Research (CNRS), Centrale Lille Institute, and Arts et Métiers, affiliated with the University of Lille. His work focuses on advanced optimization techniques for electromagnetic devices within the French academic research ecosystem. His research specializes in topology optimization applied to electrical machines, with core interests in torque ripple minimization, harmonic content control, and multi-material design for motors and transformers. He employs finite element analysis and mathematical modeling to solve complex electromagnetic problems, particularly addressing ill-posed challenges in rotor optimization and continuous magnetization direction. His methodology bridges theoretical optimization frameworks with practical engineering constraints in power electronics. Recent publications (2024-2025) demonstrate consistent innovation in motor design optimization, with recurring themes of multi-material systems, torque maximization, and state-of-the-art implementation techniques. Key collaborations include Maya Hage-Hassan and Theodore Cherriere, producing both theoretical advances (e.g., self-adjoint problem analysis) and applied educational resources like transformer optimization tutorials. Scientific Awards: None mentioned in available sources. L2EP laboratory serves as his primary research base, functioning as a CNRS-recognized hub for electrical engineering and power electronics research in Northern France, with strong industry connections in motor and transformer manufacturing sectors.

Geoffrey GebbieView profile

Researcher

• Physical Oceanography
• Climate Dynamics
• Paleoceanography
• +3 more

Geoffrey (Jake) Gebbie is a Senior Scientist and J. Seward Johnson Chair in the Department of Physical Oceanography at the Woods Hole Oceanographic Institution (WHOI). His research focuses on linking physical oceanography with climate dynamics, leveraging paleoceanographic and instrumental data to understand historical and future climate changes. He specializes in reconstructing ocean circulation patterns over decadal to millennial timescales using inverse methods and numerical models. Education: Ph.D. in Physical Oceanography from MIT/WHOI Joint Program (2004); B.S. in Atmospheric Sciences from UCLA (1997). Research Interests: Paleoceanography, climate variability, ocean heat and carbon dynamics, and the role of historical ocean data in climate projections. Awards: J. Seward Johnson Chair (2020–present), NASA Earth System Science Fellowship (2000–2003). Advising: Supervised multiple graduate students and postdoctoral researchers, including work on ocean heat content and glacial cycles. Labs/Teams: Involved in collaborative projects using numerical models and ocean data archives, such as the HMS Challenger observations and TMI (Total Matrix Intercomparison) framework.

• Clinical Sciences
• Immunology
• Public Health and Health Services
• +1 more

Dr. Lance Rane serves as a Visiting Researcher in the Department of Bioengineering within Imperial College London's Faculty of Engineering and is founder/CEO of Biomex, an Imperial spin-out developing rehabilitation technology. His primary academic collaboration is with Professor Anthony Bull, Head of the Department of Bioengineering. His research spans four core domains: Clinical Sciences Immunology Public Health and Health Services Human Movement and Sports Sciences Dr. Rane specializes in translating engineering innovations into practical rehabilitation tools, with recent work emphasizing AI-driven prosthetics, computational musculoskeletal modeling, and remote delivery of injury prevention programs. His publication trends reveal a strategic shift toward digital health solutions and real-world implementation of biomechanical research. Through Biomex, Dr. Rane directs a translational research program bridging academic discovery and commercial rehabilitation technology development. The company serves as his primary research vehicle, focusing on practical applications in knee/shoulder biomechanics, neuromuscular stimulation, and AI-enhanced prosthetic systems while maintaining strong institutional ties to Imperial College London.

Jennifer PestanaView profile

Senior Lecturer

• Numerical Linear Algebra
• Scientific Computing
• Krylov Subspace Methods
• +7 more

Dr Jennifer Pestana is a Senior Lecturer in the Department of Mathematics and Statistics at the University of Strathclyde, Faculty of Science. She has been a faculty member since 2015 and is actively involved in research and academic leadership. She is a principal investigator on multiple grants and serves as an editor for SIAM publications. Education: DPhil, University of Oxford, 2012 Postdoctoral positions: University of Manchester, University of Oxford Her research centers on numerical linear algebra and its applications in scientific computing . She investigates the convergence of Krylov subspace methods , develops preconditioners for specific applications, and explores the use of tropical algebra for matrix pre-scaling. Current projects involve fast solvers for fractional diffusion and analysis in broadband signal processing . Her work bridges theoretical numerical analysis with practical computational challenges. The recent publications reflect a strong focus on iterative methods, matrix analysis, and signal processing. Common themes include Toeplitz matrices , eigenvalue decomposition , preconditioning , and covariance estimation , demonstrating her expertise in both algorithmic development and application-driven numerical methods. Scientific Awards: Best Student Paper Award (2018) Dr Pestana actively supervises students and leads research projects, including EPSRC-SFI and Strathclyde ISP Joint PhD initiatives. She has secured significant funding for work on Krylov methods and efficient solvers. Her professional service includes organizing major conferences such as the Biennial Conference on Numerical Analysis and serving on program committees, including for the International Linear Algebra Society. She is also an invited speaker and visiting researcher, demonstrating national and international recognition. She is involved with research teams focused on numerical analysis and scientific computing, contributing to collaborative efforts in developing novel preconditioned iterative solvers. Her lab and project groups work on both theoretical and applied aspects of linear algebra in PDEs and signal processing.

Nasim Mohammadi EstakhriView profile

Assistant Professor

• Nano-photonics
• Metamaterials
• Plasmonics
• +3 more

Nasim Mohammadi Estakhri is an Assistant Professor at Chapman University , with joint appointments in the Fowler School of Engineering (Department of Electrical Engineering and Computer Science) and the Schmid College of Science and Technology (Department of Physics). Her research focuses on nano-photonics , metamaterials , and applied electromagnetics , aiming to develop novel meta-structures for light-matter interaction with applications in computing, energy, and medicine. University of Tehran - Bachelor of Science University of Tehran - Master of Science University of Texas at Austin - Ph.D. in Electrical Engineering University of Pennsylvania - Postdoctoral Researcher Her research projects include metamaterial-based optical computing , near-field patterning metasurfaces , scattering anomalies in Non-Hermitian particles , and fundamental performance bounds for metasurfaces . Recent publications emphasize inverse design of photonic structures, machine learning applications in nanoparticle engineering, and reconfigurable metasurface technologies . Her work often bridges electromagnetics , nanophotonics , and applied physics , with a focus on broadband, non-resonant wave manipulation. Estakhri's articles demonstrate trends in wavefront transformation , light scattering control , and metasurface innovation . She has contributed to patents in reconfigurable metasurface technology and wave-based equation solving , highlighting her interdisciplinary impact.

• Bladder Cancer
• Urothelial Biology
• Molecular Genetics
• +3 more

Dr. Cathy Lee Mendelsohn is Professor of Urological Sciences in the Department of Urology and holds joint appointments in Pathology & Cell Biology and Genetics & Development at Columbia University. She serves as Principal Investigator of the George M. O'Brien Urology Research Center and is fluent in French, with expertise spanning urothelial biology and bladder cancer pathogenesis. Her academic background includes: BS in Microbiology from University of Massachusetts at Amherst PhD in Microbiology from Columbia University Graduate School of Arts and Sciences (1989) Dr. Mendelsohn's research investigates the molecular mechanisms governing urothelial differentiation and its dysregulation in disease. She specializes in nuclear receptor signaling (PPARγ, retinoids) and epigenetic regulation of urothelial homeostasis, with emphasis on how chronic injury triggers pathological shifts toward basal/squamous differentiation in bladder cancer. Her work bridges developmental biology and oncology to identify therapeutic targets. Analysis of her recent publications reveals a concentrated focus on PPARγ-mediated regulation of bladder cancer subtypes, particularly its role in suppressing basal/squamous differentiation through retinoid signaling and Kdm6a activation. A significant translational trend is evident in her preclinical development of rosiglitazone/trametinib combination therapy for muscle-invasive disease, now advancing to clinical trials. No scientific awards are documented in the provided text. Dr. Mendelsohn currently directs three major research initiatives: NIH U54 DK104309 (2014-2026): Investigating genetic/cellular mechanisms of urothelial homeostasis JPB Foundation grant (2021-2025): Exploring diabetes-urothelial differentiation-bladder cancer links Flare Therapeutics collaboration (2022-present): Testing PPARγ inverse agonists in bladder cancer models As PI of the George M. O'Brien Urology Research Center, she leads a multidisciplinary team utilizing advanced mouse models to dissect transcriptional and epigenetic pathways in urothelial regeneration and cancer progression, with active efforts to translate findings into clinical applications for high-grade bladder tumors.