Find Academic Supervisors

• General Topology
• Set-Theoretic Topology
• Topological Manifolds
• +7 more

Vitalij Tjatyrko is a Senior Associate Professor at Linköping University, affiliated with the Department of Mathematics (MAI) and the research division Algebra, Geometry and Discrete Mathematics (ALGD). His work is centered in the field of general and set-theoretic topology, contributing to advanced theoretical problems involving topological spaces, homogeneity, and compactness. His research interests include: General Topology and its subfields such as box topology and end compactifications Discrete homogeneity in topological spaces Structure and properties of Niemytzki and Hattori spaces Topological manifolds and their ends Products of Hausdorff spaces under non-standard topologies The recent publications (2021–2025) reflect a consistent focus on foundational aspects of topology, particularly exploring connectedness, homogeneity, and compactness in non-metrizable and infinite-dimensional settings. His work appears in specialized journals such as Topology and its Applications , Commentationes Mathematicae Universitatis Carolinae , and Mathematica Slovaca , indicating strong engagement with the international topology community. No scientific awards or honors are mentioned in the available text. Vitalij Tjatyrko advises no named students in the provided content, and there is no mention of grants or funded projects. However, his affiliation with the Algebra, Geometry and Discrete Mathematics group suggests active participation in collaborative research within the department. The research environment at the Department of Mathematics at Linköping University supports work in pure and applied mathematics, and Vitalij Tjatyrko contributes to the theoretical core of the discipline through his publications and academic presence.

Anthony CarusoView profile

Professor

• Radiofrequency Component Design
• High Voltage and High Current Systems
• Solid-State Electronics
• +12 more

Anthony Caruso is a Curators' Distinguished Professor in the Department of Physics and Astronomy at the University of Missouri–Kansas City (UMKC), within the School of Science and Engineering. He also serves as the Associate Vice Chancellor for Research, contributing to institutional research leadership and strategy. His work bridges academic research with industrial and defense applications, emphasizing societal and military impact. Education: Ph.D., Physics and Astronomy, University of Nebraska, 2004 M.S., Physics and Astronomy, University of Nebraska, 2002 B.A., Mathematics and Physics, Bethany College, 2000 His research focuses on solving complex engineering and defense-related problems through applied physics. Key interests include radiofrequency systems, high-power solid-state and magnetic energy storage, neutron detection, and the application of condensed matter physics to electrical engineering challenges. He emphasizes system optimization via physical orthogonality and leadership innovation in academia. While no publications are listed in the provided text, his technical domains suggest strong activity in applied electromagnetics, defense technology, and energy systems. His interdisciplinary approach integrates physics, engineering, and systems theory to address real-world problems. Scientific Awards: Dr. Caruso advises students and leads research initiatives within UMKC’s Missouri Institute for Defense and Energy. He is involved in securing and managing research grants, though specific projects and funding sources are not detailed here. His leadership roles suggest active mentorship and program development. He is affiliated with the Missouri Institute for Defense and Energy, where he conducts research focused on national defense, energy systems, and advanced electronics. His lab likely specializes in high-frequency and high-power experiments, neutron detection, and system integration for field applications.

Michael BockstallerView profile

Professor

• Polymer Hybrid Materials
• Self-Healing Materials
• Nanocomposites
• +7 more

Michael Bockstaller is a Professor in the Department of Materials Science and Engineering at Carnegie Mellon University's College of Engineering. His research focuses on structure-property-performance relationships in polymer hybrid materials and he leads significant work in self-healing materials, nanocomposites, and advanced polymer processing. His educational background includes: Ph.D. in Physical Chemistry from Johannes Gutenberg University (2000) B.S. in Chemistry from the Technical University of Karlsruhe (1997) Professor Bockstaller's research spans multiple cutting-edge areas in materials science. His primary focus is on polymer hybrid materials, with special emphasis on self-healing capabilities, optical and thermal transport properties of polymer nanocomposites, and applications in solid-state lighting and battery technologies. He also explores additive manufacturing techniques, advanced materials processing, and data-driven approaches to materials design. His work bridges fundamental polymer chemistry with practical engineering applications, particularly in developing sustainable and high-performance materials. Analysis of his recent publications reveals a strong trend toward engineered self-healing materials, with particular focus on brush particle systems and nanoparticle-polymer hybrids. His work increasingly integrates data-driven approaches and explores thermal transport phenomena in novel material architectures. There's also a growing emphasis on sustainability applications, including polymer recycling and environmentally conscious materials design. Among his notable recognitions: Fellow of the American Physical Society Fellow of the Alexander von Humboldt Foundation Emmy Noether Grant recipient from the German Science Foundation Alcoa Professor (endowed chair appointment at CMU) Professor Bockstaller actively advises students and leads multiple research initiatives. He serves as a key member of the Center for Data-Driven Discovery of Multifunctional Material Systems (D3OM2S) and contributes to several interdisciplinary centers including the Center for Environmental Implications of Nanotechnology and the Manufacturing Futures Institute. His research has attracted significant funding from various sources supporting innovative work in polymer science and engineering. He leads research teams focused on polymer hybrid materials within CMU's Materials Science and Engineering department, with strong connections to the university's data science initiatives. His laboratory work emphasizes the intersection of traditional materials science with computational approaches, creating what he terms 'Engineering Better Polymers to Solve Modern Problems.'

• Applied Mathematics
• Partial Differential Equations
• Quantum Mechanics
• +8 more

Anton Arnold is a Full Professor of Mathematical Analysis at TU Wien's Institute of Analysis and Scientific Computing. He specializes in applied mathematics, partial differential equations (PDEs), and kinetic theory. His research focuses on hypocoercivity, entropy methods, quantum transport, and numerical analysis of highly oscillatory systems. Arnold has held leadership roles, including Deputy Speaker of the SFB 'Taming Complexity in Partial Differential Systems' and Coordinator of the TMR Network 'Asymptotic Methods in Kinetic Theory'. He earned his doctoral degree (Dr.techn.) from TU Wien and habilitation from TU Berlin. His work spans theoretical analysis, numerical methods, and applications in physics and engineering. Key contributions include studies on Fokker-Planck equations, Wigner equations, and Schrödinger dynamics. He has supervised numerous PhD and master’s students, contributing to the academic community through editorial roles and international collaborations. Education: PhD in Technical Sciences (1990), TU Wien Habilitation in Mathematics (1996), TU Berlin Research Interests: Hypocoercivity theory Entropy methods for PDEs Quantum kinetic models Numerical methods for dispersive waves Recent Projects: FWF-Project 'Numerical Constraints for the Wigner and the Sigma Equation' (2020–2024) Vienna Center for PDEs (2014–present) Arnold's work bridges theoretical analysis and practical applications, addressing complex systems in physics, engineering, and biology. His research on decay rates, Fokker-Planck equations, and wave propagation has advanced understanding of nonlinear and dispersive phenomena.

Alexander HaberlView profile

Researcher

• Computational Mathematics
• Numerical Analysis
• Adaptive Finite Element Methods
• +3 more

Alexander Haberl is a Researcher at TU Wien, affiliated with the Department of Numerical Analysis (Forschungsbereich Numerik). He holds degrees including Dipl.-Ing., Dr.techn., and BSc. His research focuses on adaptive numerical methods, computational efficiency, and finite element methods. He has contributed to the development of adaptive algorithms for nonlinear operators and boundary element methods (BEM), emphasizing optimal convergence rates and computational cost analysis. Key research areas include adaptive finite element methods (FEM), boundary element methods, and iterative solvers for nonlinear systems. His work addresses challenges in scientific computing, such as designing algorithms with provable optimality properties and minimizing computational resources. Haberl has collaborated extensively with Dirk Praetorius, Stefan Schimanko, and others on projects involving inexact solvers and preconditioned conjugate gradient (PCG) methods. Publications highlight contributions to monotone operators, Helmholtz equation solutions, and electrostatic capacity computations on complex geometries. His research bridges theoretical numerical analysis and practical computational engineering, with applications in structural mechanics and wave propagation. Haberl’s advising includes Michael Innerberger, who explored instance optimality in adaptive FEM. He is part of TU Wien’s Network Lab and actively contributes to conferences and workshops on adaptive methods and numerical algorithms.

• Quantum Monte Carlo methods
• Nuclear physics
• Nuclear astrophysics
• +7 more

Francesco Pederiva is a Full Professor of Physics at the University of Trento, specializing in theoretical physics with a focus on quantum many-body systems and computational methods. He leads the Laboratorio Interdisciplinare di Scienza Computazionale (UNITN/FBK) and directs the INFN TIFPA (Trento Institute of Fundamental Physics and Applications). His academic career includes roles as Associate Professor (2010–2020), Researcher (2001–2010), and postdoctoral positions at Cornell University (1997–1999). Education: PhD in Condensed Matter Theory from S.I.S.S.A. Trieste (1994), MSc (1992), and BSc (1991) from the University of Trento. Research interests include quantum Monte Carlo methods, nuclear structure, neutron matter, and quantum computing applications in physics. He explores hypernuclei, nuclear forces from QCD, and quantum algorithms for nuclear reactions. Recent work addresses quantum annealing for frustrated systems, qubit readout enhancement, and neural network quantum states for pairing models. He has published extensively on topics like quantum computing protocols, equation of state calculations for dense matter, and applications to nuclear astrophysics. His contributions include advancing quantum-classical coprocessing and optimizing control strategies for parametric Hamiltonians. He collaborates with institutions like Lawrence Livermore National Laboratory and leads projects such as AuroraScience, focusing on high-performance computing and free-energy calculations for complex systems.

Pieter PeersView profile

Associate Professor

• Relighting
• Appearance Modeling
• Neural Rendering
• +7 more

Pieter Peers is an Associate Professor in the Department of Computer Science at the College of William & Mary. Prior to this, he was a senior researcher at the Graphics Laboratory at the University of Southern California's Institute for Creative Technologies and a Research Assistant Professor at USC's Viterbi School of Engineering. His educational background includes a Ph.D. in Computer Science from K.U.Leuven (Belgium) in 2006 and a BS/MS in the same field from the same institution in 2000. Peers' research focuses on relighting, appearance modeling, and neural rendering—central topics in computer graphics and vision. His work bridges traditional rendering techniques with modern deep learning, particularly in inverse rendering, material modeling, and image-based relighting. He has made significant contributions to subsurface scattering, photometric stereo, and neural rendering systems. His recent publications, including work in SIGGRAPH, CVPR, and ICCV, demonstrate a strong trend toward integrating diffusion models and transformer architectures into appearance modeling and relighting tasks. These works often address real-world challenges such as single-image relighting, material estimation, and lighting control with minimal user input. RenderFormer (SIGGRAPH 2025): Transformer-based neural rendering with global illumination. ScribbleLight (CVPR 2025): Scribble-driven indoor relighting using diffusion models. MatFusion (SIGGRAPH Asia 2023): Diffusion-based SVBRDF capture. He has mentored and collaborated with numerous students and researchers, including Chong Zeng, Jun Myeong Choi, and James Bieron, indicating active involvement in advising and research supervision. While no formal grants or awards are listed, his consistent publication record in top venues suggests sustained research funding and recognition in the graphics community. Peers has led research in advanced rendering systems, including work on compressive light transport sensing, wavelet environment matting, and compact representations of heterogeneous subsurface scattering. His early work at USC and K.U.Leuven laid the foundation for his current research in neural appearance modeling and inverse rendering.

Cosmin FarcăuView profile

Researcher

• Physics
• Optical spectroscopy
• Nanotechnology
• +5 more

Cosmin Farcău is a Leading Researcher (R4) at the National Institute for Research and Development of Isotopic and Molecular Technologies (INCDTIM) in Cluj-Napoca, Romania, where he works in the Isotopic and Molecular Technologies Department within the Laser Induced Processes research team. He also maintains an affiliation with Babeș-Bolyai University. His research spans the intersection of physics, nanotechnology, and optical spectroscopy with a focus on plasmonic phenomena and nanostructured materials. Dr. Farcău earned his MSc in Physics in 2005 and his PhD in Physics in 2008, both from Babeș-Bolyai University. His research expertise includes: Self-assembly of nano- and micro-particles Nanofabrication by colloidal lithography Optical/plasmonic interactions in nanostructured films Plasmon-enhanced molecular optical processes (Fluorescence, Raman) Optical/electrical sensing based on nanostructures His publication record demonstrates consistent contributions to the fields of plasmonics and nanosensing, with recent work focusing on dual-mode sensing platforms that combine surface-enhanced Raman spectroscopy with electrochemical detection for environmental and medical applications. His research shows a progression from fundamental studies of plasmonic phenomena to increasingly applied work targeting real-world problems in environmental monitoring and medical diagnostics. Dr. Farcău has served as project coordinator for numerous significant research initiatives, including international collaborations with French research institutions. His work demonstrates strong interdisciplinary connections between physics, chemistry, materials science, and biomedical applications. He has supervised or participated in research projects spanning environmental monitoring, medical diagnostics, and fundamental nanophotonics. His work often involves collaborations with medical institutions, particularly for applications in cancer diagnostics and Alzheimer's disease detection. Dr. Farcău's laboratory work focuses on nanofabrication techniques, optical characterization of nanostructured materials, and the development of novel sensing platforms with applications ranging from environmental monitoring to medical diagnostics.

• Partial Differential Equations
• Nonlinear Dispersive Equations
• Soliton Theory
• +3 more

Gong Chen is an Assistant Professor in the School of Mathematics at the Georgia Institute of Technology. He received his Ph.D. in Mathematics from the University of Chicago under Professor Wilhelm Schlag. Education: Ph.D. in Mathematics, University of Chicago Chen's research centers on nonlinear partial differential equations with emphasis on dispersive equations and soliton dynamics. His work addresses fundamental questions regarding asymptotic stability, long-time behavior, and uniqueness of solutions for equations including nonlinear Schrödinger, modified KdV, Zakharov-Kuznetsov, and Klein-Gordon systems. He employs rigorous analytical techniques such as spectral theory, Strichartz estimates, and modulation analysis to investigate soliton structures and perturbation effects. Analysis of Chen's 2023-2025 publications reveals consistent focus on soliton stability, scattering theory, and nonlinear recovery problems. Key themes include uniqueness of KP solitons, perturbations by localized nonlinearities, near-soliton dynamics for 2D cubic ZK equations, and asymptotic stability of sine-Gordon kinks. His research frequently establishes stability estimates for nonlinearity recovery from scattering data and classifies multi-soliton structures. No scientific awards are listed in available information. Advising and Grants: Current students: None documented Research grants: Not specified in source material

Ben SteinbergView profile

Professor

• Wave Propagation
• Electromagnetic Fields and Waves
• Optics
• +4 more

Ben Steinberg is a Professor at the School of Electrical Engineering within the Faculty of Engineering at Tel Aviv University. His work focuses on Electromagnetics , Wave propagation and scattering , and Photonic Crystals , with applications in Artificial materials and Plasmonic structures , as well as Propagation in complex (multi-scale) medium and effective properties. He has held major roles in TAU's academic governance, including heading the Engineering Faculty's PhD Students Committee and serving on the TAU Promotion & Nomination Committee. Education: 1985-1989: PhD in Electrical Engineering, Tel Aviv University 1989-1991: PostDoc at The Catholic University of America, Washington DC Research interests span Electromagnetics Wave propagation and scattering Photonic Crystals, artificial materials, plasmonic structures Propagation in complex (multi-scale) medium and effective properties Article trends emphasize Electromagnetics , Photonics , and Condensed Matter Physics , with subfields like Non-Reciprocal Waveguides , Photonic Crystal Devices , Plasmonic Structures , Wave propagation in multi-scale medium , Green's Function Theory , and Effective Properties of Materials . Advising includes PhD and MSc students such as Yarden Mazor , Yakir Hadad , Roman Novitski , and Vitaliy Lomakin , with research topics in Plasmonics , Clustering , and Waveguide Sensitivity . He has also co-supervised projects on Optical Gyroscopes and Disordered Photonic Crystals . Academic roles include: Head of Faculty of Engineering Admission Committee (2001-2005) Head of Faculty of Engineering PhD Students Committee (2006-2009) Member of TAU Promotion & Nomination Committee (2010-2013) Industry contributions include co-founding XellAnt Inc. as CTO (2001-2004) and consulting for high-tech companies.

Michael S. FloaterView profile

Professor

• Approximation Theory
• Numerical Analysis
• Geometric Modelling
• +2 more

Professor Michael S. Floater is affiliated with the Department of Mathematics at the University of Oslo , specializing in Differential Equations and Computational Mathematics . His research spans approximation theory, numerical analysis, and geometric modeling, with a focus on polynomial and spline-based data approximation, recursive subdivision techniques, and optimal function spaces. Fields of Interest: Approximation Theory, Numerical Analysis, Geometric Modelling, Computational Mathematics, Differential Equations Recent publications address B-spline properties, supersmoothness in Alfeld splits, and advanced polynomial interpolation methods. His work often intersects with applications in computer-aided geometric design (CAGD) and numerical solutions to partial differential equations. He serves on the editorial boards of Computer Aided Geometric Design (CAGD) and BIT Numerical Mathematics , and has supervised technical reports and collaborative projects in computational methods.

• Machine Learning
• Medical Imaging
• Image Reconstruction
• +6 more

Saiprasad Ravishankar is an Associate Professor at the Department of Computational Mathematics, Science and Engineering at Michigan State University. His research focuses on robust machine learning methods for imaging, particularly in medical imaging and computational tomography. Current Position: Associate Professor, MSU Research Areas: Machine Learning, Image Reconstruction, Medical Imaging His recent work explores the intersection of deep learning and physics-driven models, addressing challenges in sparse-view CT, dynamic X-ray tomography, and MRI reconstruction. He has made significant contributions to untrained neural network priors and diffusion-guided optimization frameworks. The CAREER grant-funded project on robust machine-learning for imaging highlights his emphasis on theoretical guarantees and practical algorithms for inverse problems in computational imaging. His publications demonstrate expertise in structured dictionary learning, sparsifying transforms, and reinforcement learning for imaging tasks. Scientific awards include the NSF CAREER Award. His research benefits from collaborations with time projection chamber projects like GADGET II and emphasizes algorithmic efficiency in imaging applications.

François GenoudView profile

Lecturer

• Nonlinear Partial Differential Equations
• Mathematical Analysis
• Dispersive Equations
• +3 more

François Genoud serves as Lecturer in the Mathematics Department at EPFL's School of Basic Sciences and has directed the Centre for Mathematical Sciences (CMS) since 2018. Previously, he held Assistant Professor positions at Delft University of Technology (2015-2017) and Associate Professor at Université Libre de Bruxelles (2017-2018). His educational background includes: Undergraduate Physics studies at EPFL (2000-2005) Graduate Mathematics at EPFL (2005-2008) Postdoctoral research at University of Oxford (2009-2010), Heriot-Watt University (2010-2013), and University of Vienna (2013-2015) Genoud's research centers on nonlinear partial differential equations with emphasis on Schrödinger-type equations. His work investigates standing wave stability, blow-up dynamics, and spectral properties in critical and inhomogeneous settings. He employs variational methods, bifurcation theory, and spectral analysis to address problems in mathematical physics and fluid dynamics, particularly focusing on mass-critical phenomena and delta-potential interactions. Current teaching includes Advanced Analysis I and specialized courses on Nonlinear Schrödinger Equations. Analysis of his 15 most recent publications (2024-2013) reveals consistent focus on dispersive PDEs, with 80% addressing Schrödinger equations. Key trends include minimal-mass blow-up solutions (2018, 2023), stability under delta potentials (2016, 2019), and geometric approaches to orbital stability (2015). His work bridges abstract analysis with physical applications in quantum graphs and liquid crystals. Genoud actively contributes to academic governance as Member of EPFL's Section Directors' Conference and Interface EPFL-Gymnases committee, overseeing mathematics education initiatives. The Centre for Mathematical Sciences under his direction develops preparatory mathematics courses for EPFL students.

• Partial Differential Equations
• Integral Equations
• Boundary Value Problems
• +5 more

Vasilios Sevroglou is an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Piraeus, where he has been serving since 2012. Previously, he held positions as Lecturer (2007-2011) at the same department and as Visiting Professor at the University of Ioannina (2002-2006). His academic foundation includes a Doctorate in Applied Mathematics and Physical Sciences from NTUA (2001) with research focused on partial differential equations, specifically "The Herglotz Functions in Two-Dimensional Elasticity Applications to the Inverse Scattering Problem," and a Bachelor's degree in Mathematics from the National & Kapodistrian University of Athens (1995). University: University of Piraeus School: School of Finance and Statistics Department: Department of Statistics and Actuarial Science Academic Rank: Assistant Professor Dr. Sevroglou's research spans multiple areas of applied mathematics with a strong focus on Partial Differential Equations , Integral Equations , and Wave Scattering phenomena. His work particularly addresses boundary value problems in unbounded domains, scattering of acoustic and elastic wave fields, and electromagnetic field propagation in complex media. His research integrates theoretical mathematical approaches with practical applications in elasticity theory and inverse scattering problems. The interdisciplinary nature of his work bridges pure mathematics with physics and engineering applications, particularly in the areas of material science and wave propagation. Analysis of his publication record from 2005-2012 reveals a consistent research trajectory focused on elastic and acoustic scattering problems. His work demonstrates progression from foundational theoretical investigations to increasingly complex applications involving penetrable obstacles, mixed impedance problems, and chiral media. The majority of his publications address inverse problems in elasticity, with particular emphasis on developing and refining mathematical methods for shape reconstruction and parameter estimation. His collaborations with researchers like G. Pelekanos, C. Athanasiadis, and I.G. Stratis show an established research network focused on advancing mathematical approaches to scattering theory. Dr. Sevroglou maintains an active teaching schedule across both undergraduate and postgraduate programs. His undergraduate teaching includes core mathematics courses such as Infinite Calculus, Differential Equations, Applied Linear Algebra, and Algebra. At the postgraduate level, he teaches specialized courses including Principles of Economics and Financial Mathematics, Stochastic Financial Models, and Investment Portfolio Management. His teaching portfolio demonstrates the integration of his mathematical expertise with financial applications, reflecting the interdisciplinary nature of the Statistics and Actuarial Science department.

Ali Fethi OkyarView profile

Associate Professor

• Biomechanics
• Finite Element Analysis
• Computational Mechanics
• +7 more

Assoc. Prof. Dr. Ali Fethi Okyar is a faculty member at Yeditepe University's Faculty of Engineering, Department of Mechanical Engineering, where he also serves as Vice Dean. His academic career spans over two decades with previous appointments at Sabancı University as a Lecturer (Dr) and as a Research Assistant at Illinois Institute of Technology. He holds a PhD in Mechanical Engineering from Illinois Institute of Technology with a thesis on delamination and fracture in thin film systems under thermal loading. Dr. Okyar's research spans multiple interdisciplinary fields with a strong focus on biomechanics, computational modeling, and finite element analysis. His work bridges engineering principles with biomedical applications, particularly in spinal biomechanics, soft tissue modeling, acoustic sensors, and piezoelectric energy harvesting. He has developed innovative approaches for parametric modeling of the lumbar spine and has made significant contributions to understanding muscle mechanics, particularly frog gastrocnemius contraction dynamics. His recent publications (2022-2025) show a clear trend toward increasingly sophisticated computational modeling techniques applied to biomedical problems, with particular emphasis on digital twin technology for acoustic wave sensors, hyperelastic modeling of biological tissues, and advanced parametric approaches to spinal modeling. His work often combines experimental validation with computational approaches, demonstrating strong methodological rigor. Robert J Melosh Best Student Paper in Finite Element Analysis (Duke University) Takdir Belgesi (Harp Akademileri Komutanlığı) Outstanding Teaching Assistantship Award (Illinois Institute of Technology) Istanbul International Inventions Fair ISIF'2019 Gold Medal Dr. Okyar has supervised numerous graduate students through their theses, with research topics spanning computational biomechanics, finite element analysis, and biomedical device design. He has been involved in multiple significant research projects, including TÜBİTAK-funded projects on biomechatronic systems and cardiovascular devices, as well as European COST projects investigating the mechanical properties of aging arteries. His current research includes the development of tunable acoustic louvers and computational analysis of piezoelectric surface acoustic wave sensors. As an active member of professional organizations including ASME International Turkey Branch (where he served as President from 2009-2011), Turkish Acoustics Society, and Chamber of Mechanical Engineers, Dr. Okyar maintains strong connections with both national and international engineering communities. His laboratory work focuses on computational biomechanics, finite element modeling, and the development of biomedical devices and sensors.