Find Academic Supervisors

• Calculus of Variations
• Multiscale Methods
• Atomistic Models
• +4 more

Dr. Leonard Kreutz is a Researcher at the Department of Mathematics , Technical University of Munich (TUM), leading an Emmy Noether Junior Research Group since 2023. He has held postdoctoral positions at Carnegie Mellon University, WWU Münster, and Universität Wien, and was an acting professor at TUM in 2019. Education: PhD (2018) from Gran Sasso Science Institute, Honors Master (2014) and Bachelor (2013) in Mathematics at TUM. Research Interests: His work focuses on the Calculus of Variations , Multiscale Methods , and Discrete-to-Continuum Limits , particularly in modeling crystallization, elastic materials with voids, and topological singularities in spin systems. He explores free-discontinuity problems and geometric rigidity in variable domains. Publications span 2023–2017, emphasizing atomistic models , nonlinear elasticity , and homogenization across mathematics, materials science, and physics. Collaborative projects with leading experts like M. Cicalese and A. Braides dominate his output. Scientific Award: Emmy Noether Junior Research Group Grant (2023–present). Collaborations include institutions such as Carnegie Mellon University, WWU Münster, and the University of Vienna. His research intersects with groups focused on Mathematical Finance , Numerical Analysis , and Quantum Information Theory at TUM.

• Nonlinear analysis
• Indefinite elliptic problems
• Sobolev and Caffarelli-Kohn-Nirenberg inequalities
• +3 more

Matthias Schneider is a Lecturer in the Institute of Mathematics at Johannes Gutenberg University Mainz , specializing in Analysis . He teaches courses such as Differential Geometry and Manifolds , Mathematics for Physicists , and advanced seminars in geometric analysis. Education: Dissertation in Nonlinear Analysis (2001, Johannes Gutenberg University Mainz) Habilitation in Geometric Analysis (2007, Ruprecht Karls-Universität Heidelberg) Research interests include nonlinear partial differential equations, geometric analysis, indefinite elliptic problems, Sobolev and Caffarelli-Kohn-Nirenberg inequalities, prescribed scalar curvature, and magnetic geodesics. His work bridges differential geometry with PDE existence-uniqueness theory and variational methods. Publication trends show a focus on elliptic equations with critical growth, geometric PDEs on manifolds, and magnetic geodesic theory, particularly for spheres and hyperbolic surfaces. Collaborative papers with V. Felli and others emphasize weighted inequalities and degenerate equations. Contact: Room 04-515, Staudingerweg 9, 55128 Mainz Tel: +49 6131-39-22515 | Fax: +49 6131-39-20658 Office hours: Wednesday 11 a.m.–12 p.m. (additional appointments via email)

Maria Teresa Cao RialView profile

Professor

• Extended Finite Element Method
• Solid Mechanics
• Contact Problems
• +3 more

Maria Teresa Cao Rial is a Professor in the Department of Mathematics at the Universidade da Coruña, specializing in applied mathematics and computational mechanics. She teaches courses including Mathematics I, II, and III across degree programs in Nautical Science, Naval Engineering, and Marine Technologies. Research group: Modeling and resolution of models Research lines: Extended Finite Element Method, Solid Mechanics, Contact Problems, Numerical Simulation, Li-Ion battery modeling Her publications focus on advanced finite element techniques for contact problems and battery systems, with articles appearing in journals like Mathematics and Computers in Simulation , Journal of Elasticity , and Nonlinear Analysis: Real World Applications . She has contributed to conference proceedings including ECMI and IFIP TC7 conferences. Recent trends emphasize Li-Ion battery modeling, combining extended finite element methods with multiphysics simulations. Her work spans numerical analysis, mechanical deformation, and industrial mathematics applications. Funding includes projects from the State Research Agency (2020-2024), European Union programs (2019-2022), and collaborations with ITMATI and MINECO.

Isabel García ValdiviaView profile

Assistant Professor

• Immigration
• Race and Ethnicity
• Social Stratification
• +3 more

Isabel García Valdivia is an Assistant Professor of Sociology in the College of Arts and Sciences at the University of Oregon, Eugene, specializing in immigration, race and ethnicity, social stratification, and life course/aging studies. Her academic credentials include: Ph.D. and M.A. in Sociology from the University of California, Berkeley B.A. in Chicanx/Latinx Studies and Sociology from Pomona College Dr. García Valdivia employs qualitative and mixed-methods approaches to examine immigrant families across the life course, with dual research foci: (1) How immigration status and policies shape experiences from young adulthood to late life, including the development of the "life course illegality" conceptual model; and (2) Immigration's impact on family dynamics, particularly through the lens of "legal power" in mixed-status households where citizen children mediate parental legal vulnerabilities. Her recent work demonstrates how fear of deportation evolves across the life span, with 2025 research revealing three key mitigation mechanisms for older undocumented immigrants: embodiment of illegality, life transitions, and temporal morality. This scholarship bridges migrant illegality studies with life course theory to explain contextual variations in immigration enforcement impacts. She has received significant recognition: Student Paper Award from Society for the Study of Social Problems Student Paper Award from American Sociological Association UC President’s Postdoctoral Fellowship Eugene V. Cota-Robles Fellowship Research funding includes major grants from the National Science Foundation, Eunice Kennedy Shriver National Institute of Child Health and Human Development, and Blum Center at UC Santa Barbara. Current collaborative projects investigate immigrant graduate students' academic experiences and workforce integration. She maintains active affiliations with Brown University's Population Studies and Training Center and ISRP research team.

• applied statistics
• Bayesian modelling
• image analysis
• +7 more

Dr Robert G. Aykroyd is a Senior Lecturer at the School of Mathematics , University of Leeds, within the Faculty of Engineering and Physical Sciences. His expertise spans applied statistics and computational methods, with interdisciplinary applications across archaeology, medicine, and engineering. Research Focus : Bayesian modelling, image analysis, and inverse problems. Applications : Archaeological geophysics, PET/SPECT medical imaging, electrical tomography, climate reconstruction. Techniques : MCMC algorithms, finite element methods, wavelet methods. Current postgraduate researchers include Fatih Gezer, Muyang Zhang, and Viet Dao. He is open to collaborations in variational Bayesian methods for inverse problems.

Elaine MurrayView profile

Senior Lecturer

• Mental Health
• Psychiatric Disorders
• Biomarker Research
• +5 more

Dr. Elaine Murray is a Senior Lecturer in the School of Medicine at Ulster University, where she has been working since 2013. She is affiliated with the Northern Ireland Centre for Stratified Medicine and conducts research at the C-TRIC Building, Altnagelvin Area Hospital in Derry~Londonderry. Her work focuses on mental health research, particularly in college student populations, and she collaborates extensively with the Western Health and Social Care Trust and the Psychology Research Institute at Ulster University. Dr. Murray earned her BSc Hons in Biomedical Sciences with a Diploma in Industrial Studies from Ulster University in 2003. She completed her PhD in Neuroscience and Behaviour at the University of Massachusetts, Amherst in 2010, where her research demonstrated that perinatal disruption of histone acetylation leads to long-lasting changes in sexually dimorphic regions of the brain. Dr. Murray's research primarily focuses on identifying novel biomarker panels to improve diagnosis and treatment of psychiatric disorders. She is particularly interested in the role of epigenetic modifications and sex differences in the aetiology and treatment of mental health conditions. Her current projects include the Antipsychotic Response Study, Antidepressant Response research, Analysis of Antidepressant Prescribing Patterns in Northern Ireland, and the Ulster University Student Wellbeing Study, which is part of the WHO's Mental Health International College Student Project. Dr. Murray's extensive publication record shows a clear focus on mental health in college student populations, with particular attention to depression, suicidal behaviors, and the impact of childhood adversity. Her research employs multi-omics approaches to identify biomarkers and has increasingly incorporated microbiome analysis, particularly examining the relationship between oral microbiome variations and depression. She has established herself as a key contributor to the World Mental Health International College Student initiative, with numerous publications examining mental health patterns across international student populations. Vincent G. Dethier Award for Neuroscience and Behaviour Postgraduate Student of the year Fellow of the Higher Education Academy Member of the Society for Neuroscience Collaborative Award for Teaching Excellence (CATE) (2024) Distinguished Collaborative Education Excellence Fellowship (2023) Dr. Murray serves as coordinator of the Stratified Medicine Industrial Liaison Committee and as timetable coordinator for BSc (Hons) Stratified Medicine. She has secured significant research funding through projects like MOOD-Dx (as Principal Investigator), PEACETIME, iMPROVE, and the Personalised Medicine Centre Multi-Omics Lab. Her work with the Ulster University Student Wellbeing Study represents a major longitudinal research effort examining risk and protective factors for mental health problems in students over five years. Dr. Murray is actively involved in the Translational Neuroscience research group at Ulster University and collaborates with researchers across multiple disciplines. Her work on the Ulster University Student Wellbeing Study involves a large interdisciplinary team examining genetic and biological factors affecting mental health disorders and treatment efficacy. She also contributes to the Northern Ireland Centre for Stratified Medicine's efforts to develop personalized approaches to mental health treatment.

Alexandre CabotView profile

Professor

• Optimization
• Nonlinear Analysis
• Dynamical Systems
• +5 more

Alexandre Cabot is a Professor at the Institute of Mathematics of Burgundy (IMB - UMR 5584 CNRS) , affiliated with the University of Burgundy and the Faculty of Sciences Mirande . His research focuses on optimization , nonlinear analysis , dynamical systems , and non-regular mechanics . He is part of the Statistics, Probability, Optimization and Control team, contributing to applied mathematics and theoretical analysis. Education : Doctoral thesis (2002) on dissipative dynamical systems and optimization at University of Montpellier II under Hédy Attouch. Habilitation à Diriger des Recherches (2006) on nonlinear and multi-speech analysis at University of Avignon. DEA in Mathematics (1998-99), Bachelor’s and Master’s in Mathematics (1992-94), and Agrégation (1994-95) at University of Paris VI. Research interests include gradient systems , proximal methods , non-smooth analysis , differential inclusions , and nonlinear oscillators . His work explores finite-time stabilization, curvature-dependent optimization, and vibro-impact problems. Recent publications span topics like inertial forward-backward algorithms, asymptotic behavior of damped equations, and regularization techniques. Collaborations include H. Attouch, P. Frankel, L. Thibault, and others. Teaching includes courses in mathematical economics, linear regression, differential calculus, and domain decomposition. He has supervised PhD students such as B. Baji, P. Frankel, and E. Vilches, focusing on optimization, non-regular mechanics, and variational analysis.

Matthew HunterView profile

Associate Professor

• Early Modern Literature
• Shakespeare Studies
• Drama
• +4 more

Matthew Hunter is an Associate Professor in the Department of English at Texas Tech University, specializing in Early Modern Literature, particularly sixteenth and seventeenth-century drama. He teaches courses on Shakespeare, early modern drama, British literary history, and literary/social theory. His research centers on intersections between social life and aesthetic form, with core interests in: Early Modern Drama and Shakespearean Tragedy Linguistic Creativity and Stylistic Innovation Performance Theory and Social Theory Ordinary Language Philosophy Anthropological Metapragmatics Aesthetics and Literary Criticism History His publication trajectory reveals sustained focus on language, publicity, and sociability in early modern England. Key monographs include The Pursuit of Style in Early Modern Drama (2022) and the Norton Critical Edition of Doctor Faustus (2023), while his 14 most recent articles (2016-2024) demonstrate methodological range across journals like ELH , Representations , and English Literary Renaissance , consistently examining how discourse shapes social identity in theatrical contexts.

Franco TomarelliView profile

Professor

• Calculus of Variations
• Differential Equations
• Mathematical Analysis
• +2 more

Franco Tomarelli is a Full Professor at the Department of Mathematics, Polytechnic University of Milan , with a focus on Calculus of Variations, Differential Equations, and Applied Mathematics . His research explores mathematical modeling of discontinuous structures , multi-scale problems , and materials science through variational methods and geometric measure theory. Books Authored : Complex Analysis, Transforms, and Differential Equations (2023), Variational Problems in Materials Science (2006). His publications address advanced mathematical techniques for boundary value problems , distributions , and engineering applications . He contributes to academic dissemination through the Milan Journal of Mathematics and workshops like VARMET2001 . No explicit awards, students, or lab affiliations are mentioned in the provided texts.

Bastian GoldlückeView profile

Associate Professor

• Computer Vision
• Variational Methods
• Light Field Analysis
• +3 more

Bastian Goldlücke serves as an Associate Professor in the Department of Computer Science at the University of Konstanz since 2014. His academic journey includes postdoctoral positions at the University of Heidelberg (2011), TU Munich (2010), and the University of Bonn (2009), following a Ph.D. from the Max Planck Institute for Computer Science in Saarbrücken (2006). His research centers on variational methods and their applications in computer vision, with specialized focus on light field analysis and inverse problems . Key contributions include novel frameworks for light field decomposition, real-time 3D reconstruction, and attention-based neural representations. His work bridges mathematical optimization with practical computer vision challenges in autonomous systems and 3D imaging. Notable scientific recognition includes: ERC Starting Grant 'Light Field Imaging and Analysis' (2013) Funding through SFB Transregio 'Quantitative Methods for Visual Computing' Prof. Goldlücke actively contributes to the academic community as a reviewer for major conferences and journals, co-organizer of the 'Light Fields for Computer Vision' workshops at ECCV 2014 and CVPR 2017, and area chair for ACCV 2014 and 3DV 2016. His current research is supported by significant European and German research grants focusing on computational imaging and visual analysis.

• Conservation Genetics
• Population Genetics
• Evolutionary Biology
• +6 more

Professor Jacob Höglund is a distinguished academic at Uppsala University, where he serves as Professor of Animal Conservation Biology in the Department of Ecology and Genetics, specializing in Animal Ecology. His research focuses on the importance of genetic variation for the persistence of small and fragmented populations, with primary emphasis on vertebrates though he has also contributed to insect conservation projects. Höglund has held significant positions at Uppsala University, including: Professor, Animal Conservation Biology, Department of Ecology and Genetics (2006-present) Head of Department, Division of Population Biology and Conservation Biology (1999-2005) Senior lecturer/Associate Professor in Evolutionary Biology, Department of Zoology (1993-1998) Assistant Professor, Department of Zoology (1989-1993) Höglund's research program spans conservation genetics, population genomics, and evolutionary biology, with particular emphasis on understanding how genetic variation influences population viability. His work frequently examines MHC (Major Histocompatibility Complex) diversity, population structure, and the application of genomic approaches to conservation challenges. While primarily focused on avian species (particularly grouse and other game birds), his research extends to amphibians, mammals, and insects, reflecting a broad ecological perspective on conservation genetics. His recent publications reveal a strong trend toward applying cutting-edge genomic techniques to conservation problems. Höglund has been instrumental in developing chromosome-level genome assemblies for threatened species, analyzing population structure and genetic diversity, and investigating the impacts of inbreeding and outbreeding depression. His work often combines field studies with sophisticated genomic analyses to address critical questions in wildlife conservation. Höglund has made significant contributions to bridging the gap between genomic research and practical conservation applications, helping establish frameworks for using genomic data in conservation decision-making for species with small or fragmented populations. His collaborative research spans multiple continents and involves numerous international partners, reflecting the global relevance of his work in conservation genomics.

Rodrigo Lecaros LiraView profile

Associate Professor

• Inverse Problems
• Partial Differential Equations
• Control Theory
• +12 more

Rodrigo Lecaros Lira is an Associate Professor at Universidad Técnica Federico Santa María, with a research focus spanning Inverse Problems, Control Theory, and Numerical Analysis for Partial Differential Equations. His work bridges mathematical modeling with industrial applications, particularly in mining and fluid mechanics. Educated with a PhD in Engineering Sciences (Mathematical Modeling) and a Bachelor of Science in Engineering (Mathematics) from Universidad de Chile Research interests include Controllability , Stability , and Mathematical Modeling of complex systems such as water waves, shock waves, and discrete/stochastic PDEs. His recent work emphasizes semi-discrete systems and numerical methods for inverse problems. Recent publications show a trend in applying Carleman estimates to controllability problems for semi-discrete and stochastic PDEs, with applications in geophysics and ultrasound modeling. Key subfields include dynamic boundary conditions, non-local formulations, and discrete operators. No scientific awards explicitly mentioned in the provided text. No formal advisees or part-time roles noted. Professional experience includes roles at the Center for Mathematical Modeling (CMM) in Chile and the Basque Center for Applied Mathematics (BCAM) in Spain, focusing on industrial projects like seismic risk assessment (GEOSIS software) and mining-related numerical modeling.

Stefania SetteView profile

Associate Professor

• Developmental Psychology
• Socio-emotional Functioning
• Social Withdrawal
• +5 more

Stefania Sette is an Associate Professor in Developmental Psychology at the Department of Developmental and Social Psychology, Sapienza University of Rome, within the Faculty of Medicine and Psychology. Her office is located in room 313 of the faculty building. Her research focuses on socio-emotional functioning in children and adolescents, with specialized interests in social withdrawal motivations, loneliness, peer relationships, and classroom dynamics. Current investigations examine antecedents and consequences of social withdrawal across developmental stages, cross-cultural patterns of solitude, and pandemic-related impacts on youth mental health. Her publications demonstrate consistent focus on developmental psychopathology themes, with recent works (2023-2025) examining: longitudinal patterns of social withdrawal; cultural variations in solitude; COVID-19 impacts on adolescent functioning; mediators between social behaviors and internalizing problems; and person-centered analyses of motivation patterns. Methodologically, she employs latent profile analysis, cross-cultural validation, and longitudinal designs.

Barbara VerfürthView profile

Professor

• Numerical Methods for Partial Differential Equations
• Multiscale Finite Element Methods
• Numerical Homogenization
• +4 more

Prof. Dr. Barbara Verfürth is a Professor at the Institute for Numerical Simulation (INS) at the University of Bonn since October 2022. Previously, she served as a Junior Research Group Leader and Tenure-Track Professor at Karlsruhe Institute of Technology (KIT) from 2020-2022, was a PostDoc at the University of Augsburg (2018-2020), and completed her PhD at the University of Münster (2015-2018). Her academic journey demonstrates a strong focus on numerical analysis and computational mathematics. Prof. Verfürth's research interests span several interconnected areas in computational mathematics: Numerical methods for partial differential equations Multiscale (finite element) methods (Numerical) homogenization (Time-harmonic) wave propagation: Helmholtz and Maxwell equations Nonlinear PDEs (nonlinear diffusion, nonlinear Helmholtz) Her recent publications demonstrate a consistent focus on multiscale methods for wave propagation problems, particularly in high-contrast and time-varying media. The research shows strong connections between theoretical numerical analysis and practical applications in metamaterials and wave physics. Her work bridges pure mathematical analysis with computational implementation, often developing novel algorithms for challenging multiscale problems. Prof. Verfürth leads several significant research projects: Homogenization of time-varying metamaterials (Project B4, DFG CRC 1173) Numerical methods for nonlinear, random and dynamical multiscale problems (Project 496556642, DFG Emmy Noether) Previously completed TEEMLEAP - a testbed for exploring machine learning in atmospheric prediction (KIT Future Fields) She is actively involved in academic mentoring, currently advertising for a PhD position focusing on numerical multiscale methods for linear elasticity with high-contrast coefficients. Her teaching includes courses such as "Scientific Computing I" and "Introduction to Numerical Mathematics" at the University of Bonn.

Julien FageotView profile

Researcher

• Sparsity
• Random Processes
• Approximation Theory
• +7 more

Julien Fageot is a Researcher at the École Polytechnique Fédérale de Lausanne (EPFL) in the AudioVisual Communications Laboratory within the School of Computer and Communication Sciences. He previously held postdoctoral positions at Harvard University, McGill University, and EPFL. His educational background includes: Ph.D. in Electrical Engineering at EPFL (2012-2017) M.Sc. Mathematics, Vision, and Learning in ENS Paris-Saclay, France (2011) M.Sc. in Probability and Statistics at Université Paris Orsay, France (2009) École Normale Supérieure, Section Mathématiques, Paris, France (2007-2012) Dr. Fageot's research lies at the intersection of high-level mathematics and data sciences, focusing on mathematical properties of advanced processing tools for sparse signal reconstruction and synthesis. His expertise spans sparsity, random processes, approximation theory, splines, convex optimization, functional analysis, and signal/image processing. He explores probability theory (sparse stochastic processes), optimization theory (sparsity-promoting spline reconstruction), and applications in signal processing (inverse problems, segmentation, detection, CNNs). His publication record demonstrates a clear progression from theoretical foundations of stochastic processes to practical applications in biomedical imaging. Recent work shows increasing focus on machine learning applications while maintaining strong mathematical rigor, particularly in developing sparse representations for medical image analysis. His scientific achievements have been recognized with: Best Paper Award at the MIDL Conference (2019) EPFL Best Doctorate Award (2018) Outstanding PhD Thesis Distinction in Electrical Engineering, EPFL (2017) Education Award from the Life Science Department, EPFL (2013) Dr. Fageot actively mentors students, currently supervising PhD candidate Adrian Jarret and having previously guided Thomas Debarre and Shayan Aziznejad to completion. He has supervised numerous master's theses on spline-based reconstruction and biomedical image analysis. His research is supported by Swiss National Science Foundation grants including the Postdoc.Mobility fellowship for 'Mathematical Models for Analog Data Sciences: the Continuous Way' (2020) and the Early Postdoc.Mobility fellowship for 'Probabilistic and Variational Methods for Sparse Signals' (2018). As a key member of EPFL's AudioVisual Communications Laboratory, he collaborates with Prof. Martin Vetterli, Prof. Michael Unser, and Prof. Christian Genest, bridging theoretical mathematics with practical applications in signal processing and data science.