Find Academic Supervisors

• Computer Graphics
• Geometry Processing
• 3D Reconstruction
• +3 more

Dr. Jing Ren is affiliated with the Department of Computer Science at ETH Zürich, holding a role within the Professorship for Computer Science. Their research focuses on computational geometry, 3D reconstruction, and computer graphics, with notable contributions to shape analysis, non-rigid matching, and fabric modeling. Dr. Ren’s work bridges theoretical advancements with practical applications in textile design, architectural modeling, and medical imaging. They collaborate extensively on projects involving functional maps, optimization algorithms, and geometric morphometrics. Key research interests include: Non-rigid shape correspondence and matching Computational modeling of woven fabrics and textiles 3D face and building reconstruction techniques Efficient spectral and discrete optimization methods Recent publications (2022–2024) emphasize innovations in fabric parameterization, Gaussian noise distribution, and rethinking 3D face reconstruction benchmarks. Their work often employs machine learning and functional map frameworks to solve geometric problems across disciplines. Laboratory and team affiliations are not explicitly detailed in the provided materials, but their research aligns with ETH Zürich’s broader initiatives in computer science and engineering. No grants or advising activities are specified in the current data.

Matthias LieroView profile

Researcher

• Variational Methods
• Continuum Mechanics
• Semiconductor Device Modeling
• +3 more

Matthias Liero is the acting head of the Partial Differential Equations Research Group at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) , Berlin, and a member of the Berlin Mathematical School (BMS) Postdoctoral Faculty. His research focuses on variational methods for evolution equations , continuum mechanics , modeling semiconductor devices , and optimal transport . He leads projects funded by MATH+, including strain engineering for functional heterostructures and modeling battery electrodes with mechanical interactions. Teaching responsibilities at Humboldt University include advanced courses on optimal transport , calculus of variations , and partial differential equations . He collaborates extensively on interdisciplinary projects, such as electrothermal modeling of organic LEDs and energy-based mathematical methods for multiphase flows. His work bridges applied mathematics, physics, and engineering, emphasizing thermodynamically consistent models and rigorous analytical methods. Notable contributions include developing p(x)-Laplace thermistor models for organic semiconductor devices and advancing the Hellinger-Kantorovich distance in optimal transport theory. Current research explores nonlinear PDEs, phase transitions, and material degradation in energy systems.

Robert AltmannView profile

Professor

• Partial Differential Algebraic Equations
• Poroelastic Equations
• Dynamic Boundary Conditions
• +4 more

Prof. Robert Altmann is a Professor of Numerical Mathematics at the Otto von Guericke University Magdeburg, leading the Institute for Analysis and Numerical Analysis (IAN). He holds a PhD from TU Berlin and has held academic positions at institutions including the University of Augsburg and TU Berlin. His research focuses on numerical methods for partial differential equations, particularly PDAEs, poroelasticity, dynamic boundary conditions, and energy-based modeling frameworks like port-Hamiltonian systems. Education and Career: Bachelor's/Master's in Mathematics, Humboldt University Berlin (2007–2011) Research Stay at École des Ponts ParisTech (2011) Research Associate at TU Berlin (2011–2017) Academic Councillor at University of Augsburg (2017–2023) Research Interests: His work emphasizes numerical analysis for complex systems, including: Development of robust discretization schemes for PDAEs and poroelastic networks Energy-preserving methods for dynamic boundary value problems Riemannian optimization techniques for quantum systems Model reduction and multiscale methods for heterogeneous materials Grants and Projects: DFG Project: Decoupled computational methods for nonlinear parabolic problems (2020–2023) DFG Project: Higher-order decoupling integration schemes for poroelastic networks (2021–2024) DFG Project: Wave-type problems with non-standard boundary conditions (2024–2026) Awards and Recognition: Member of GAMM Juniors (2014) Dr.-Klaus-Körper Prize (GAMM, 2016) 2nd Tiburtius Prize (Berlin Universities, 2016) Team and Collaborations: His research group includes Dr. Afsaneh Moradi, Dr. Riccardo Morandin, and Jochewed Schmeck, focusing on computational methods for coupled systems and energy-based modeling.

Rebecca ChisholmView profile

Senior Lecturer

• Infectious Disease Modelling
• Epidemiology
• Mathematical Biology
• +3 more

Dr. Rebecca Chisholm is a Senior Lecturer in Mathematics & Statistics at La Trobe University's Mathematical and Physical Sciences School. She holds an honorary fellowship at the University of Melbourne's Melbourne School of Population and Global Health. Her expertise spans infectious disease modelling, epidemiology, and stochastic analysis. Education: PhD in Mathematical Biology, University of Melbourne (2009–2013) Bachelor of Arts/Bachelor of Science (Honours), University of Melbourne (2002–2008) Research Interests: Data-informed mathematical models for infectious diseases Group A Streptococcus, malaria, scabies, and Onchocerciasis transmission dynamics Policy-informing multi-species and immuno-epidemiological models Funding & Grants: NHMRC Ideas Grant (2025–2028): Optimizing Group A Streptococcus interventions ARC Discovery Project (2021–2024): Multiscale immuno-epidemiology models NHMRC Ideas Grant (2023–2026): Malaria transmission modelling Awards: La Trobe University 2021 Highly Commended Team Award University of Melbourne 2021 Excellence in Engagement Award Engagement Australia 2021 Finalist for Outstanding Engagement Teaching & Supervision: Subject coordinator for MAT1001, MAT2001, and STM3LPP Teaching focus: Infectious Disease Modelling, Linear Programming, and Mathematical Biology Available for Masters/PhD supervision and collaborative projects Labs & Teams: Lead modeller in the National Doherty Modelling Consortium Collaborations with UNICEF/WHO Special Programme for Tropical Diseases

Peter WolynesView profile

Professor

• Chemical Biology
• Theoretical Chemistry
• Biophysics
• +4 more

Peter Wolynes is the Bullard-Welch Foundation Professor of Chemistry at Rice University, with appointments in Chemistry, BioSciences, Materials Science & NanoEngineering, and Physics & Astronomy. His research focuses on energy landscapes in biomolecules, glasses, and complex systems, integrating statistical mechanics with computational modeling. He holds honorary doctorates from Indiana and Stockholm Universities and is a member of prestigious academies including the National Academy of Sciences and Royal Society. Educations: A.B., Indiana University, 1971 Ph.D., Chemical Physics, Harvard University, 1976 Research Interests: His work spans protein folding kinetics, gene regulatory networks, glass transition theory, and quantum simulations. Key contributions include the energy landscape theory of protein folding ("funnel" model), random first-order transition theory for glasses, and computational tools like AWSEM-Suite for protein structure prediction. Recent efforts explore chromatin folding, motorized chromosome models, and quantum information scrambling in biomolecules. Awards & Honors: ACS Awards in Pure Chemistry (1986) and Theoretical Chemistry (2012) American Physical Society Biological Physics Prize (2004) Foreign Membership in Royal Society and Leopoldina Grants & Labs: Leads the Wolynes Research Group at Rice, collaborating on NIH-funded projects. Active in developing multiscale models for biological systems, including Nucleome Data Bank resources for genome simulations. Labs/Teams: Directs interdisciplinary teams studying biomolecular energy landscapes, quantum chemistry, and computational biophysics. Partnerships include Max Planck Institute, Ecole Normale Supérieure, and Chinese Academy of Sciences.

Yasser RoudiView profile

Professor

• Theoretical Neuroscience
• Neural Networks
• Information Processing
• +3 more

Professor Yasser Roudi holds the position of Professor of Disordered Systems at King’s College London’s Department of Mathematics, within the Faculty of Natural, Mathematical & Engineering Sciences. He earned his PhD from SISSA (International School for Advanced Study) in 2005 and a physics degree from Sharif University of Technology in Tehran. Prior to joining King’s, he worked at prestigious institutions like the Kavli Institute for Systems Neuroscience in Norway and NORDITA. His research focuses on theoretical neuroscience, neural networks, and the physics of disordered systems, employing mathematical tools to model information processing in brains and machines. He has been recognized with awards including the Eric Kandel Young Neuroscientist Prize (2015) and membership in the Royal Norwegian Society of Sciences and Letters. His work explores topics such as grid cells’ toroidal topology, restricted Boltzmann machines, and maximum entropy models for cortical populations. Recent publications highlight advancements in understanding neural oscillations, stochastic processes, and reinforcement learning algorithms. Roudi leads the Disordered Systems research group at King’s, contributing to the study of complex systems and statistical mechanics. Education: PhD, SISSA (2005); BSc, Sharif University of Technology (Physics). Affiliations: King’s College London, Kavli Institute for Systems Neuroscience, NORDITA, UCL, and the Institute for Advanced Study. Roudi’s research bridges theoretical physics and neuroscience, addressing fundamental questions about neural information processing and system dynamics. His awards underscore his impactful contributions to the field, while his interdisciplinary approach continues to push boundaries in understanding complex biological and artificial systems.

• Structural Health Monitoring
• Damage Prognosis
• Multiscale Modeling
• +5 more

Aditi Chattopadhyay is a Regents' Professor and Ira A. Fulton Chair Professor of Mechanical and Aerospace Engineering at Arizona State University's School for Engineering of Matter, Transport and Energy (SEMTE). She directs the Adaptive Intelligent Materials and Systems (AIMS) Center and has held roles as associate editor for multiple journals including AIAA Journal and Journal of Structural Durability and Health Monitoring. Her research focuses on structural health monitoring, damage prognosis, multiscale modeling of heterogeneous materials, and adaptive structures. She has advised 29 doctoral and 25 master's students, authored over 165 journal papers, and secured grants from NASA, DOD, and industry partners. Notable awards include the Distinguished Alumnus Award from IIT Kharagpur and Fellowships from AIAA and ASME. Education : Ph.D. Aerospace Engineering, Georgia Institute of Technology (Year: 1980s) M.S. Aerospace Engineering, Georgia Institute of Technology B. Tech. Aeronautical Engineering (Honors), Indian Institute of Technology, Kharagpur (1980) Research Interests : Her work spans structural health monitoring of advanced composites, multifunctional materials, and aerospace materials under extreme conditions. She pioneers stress-responsive smart materials and damage precursor detection technologies. Key themes include: Composite materials under impact and fatigue Thermomechanical degradation of ceramics AI-driven health monitoring systems Recent Research Trends : Her 2020-2025 publications emphasize: Ceramic matrix composite (CMC) behavior under high-temperature oxidation Self-sensing composites using mechanophore polymers Asteroid material strength analysis for planetary defense Physics-informed machine learning for material failure prediction Awards & Recognition : 2020: Fellow, American Society of Mechanical Engineers (ASME) 2013: Distinguished Alumnus Award, IIT Kharagpur 1995: Outstanding Engineering Alumni, Georgia Tech Grants & Advising : Lead PI on over 50 grants totaling millions USD from NASA, DOD, and industry. Her advising spans 54 graduate students, with a focus on aerospace materials and structural systems. Labs & Centers : Director of ASU's AIMS Center, which develops intelligent materials for aerospace and defense applications. Collaborates with NASA, Army Research Lab, and Honeywell on transition of technologies to practice.

• Structural Dynamics
• Vibrations
• Uncertainty Modeling in Structures
• +3 more

Marc Mignolet is a Professor of Aerospace and Mechanical Engineering and serves as the Graduate Program Chair in the School for Engineering of Matter, Transport and Energy at Arizona State University (ASU). He is affiliated with the Ira A. Fulton Schools of Engineering. His research focuses on structural dynamics, vibrations, and stochastic multiscale analyses, with applications to aerospace systems and composite materials. Education: Ph.D. in Aerospace Engineering from Rice University (1987) Research Interests: Modeling of uncertainty in structural systems Nonlinear damping and aerodynamic interactions Reduced-order modeling for complex systems Thermoelastic dynamics under extreme environments This work addresses challenges in aerospace structures, including flutter prediction, fatigue life assessment, and hypersonic vehicle dynamics. Grants & Projects (selected): Unified Framework for Multi-Physics Systems (2015–2019) Nonlinear Damping Modeling for Aircraft (2014–2015) Thermoelastic Reduced Order Models (2013–2014) Multiscale Reduced Order Modeling (2010–2013) These projects involve collaborations with institutions like Sandia National Laboratory, ZONA Technology, and NASA. Teaching: Courses include Vibration Analysis (AEE 415/MAE 514), Dynamics and Vibrations (MAE 510), and special topics in aerospace engineering.

• Microplastics
• Plastic Pollution
• Aquatic Ecology
• +5 more

Bart Koelmans is a Full Professor in Aquatic Ecology and Water Quality Management at Wageningen University & Research. His research focuses on microplastics, plastic pollution, and their environmental and human health impacts. He leads interdisciplinary projects addressing microplastic fate, risk assessment, and policy implications. Key contributions include studies on microplastic effect testing, North Pacific Garbage Patch cleanup impacts, and soil nanoplastic interactions. His work spans freshwater and marine ecosystems, emphasizing biofouling effects, human exposure modeling, and synergies with chemical pollutants. He co-authored over 413 publications and supervised 20+ PhD candidates. Koelmans actively engages in public discourse on plastic pollution through media commentary and collaborates globally on regulatory frameworks.

• Multiscale Modeling
• Biological Processes
• Physical Processes
• +3 more

Mariya Ptashnyk is an Associate Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in Mathematics. She holds an ORCID identifier (0000-0003-4091-5080) and has been affiliated with the university since at least 2015. Her research focuses on multiscale modeling of biological and physical processes, with contributions to plant tissue biomechanics, soil-water interactions, and cell signaling pathways. Education: PhD in Mathematics from the University of Heidelberg, Germany. Postdoctoral research at the University of Oxford and the Centre for Modelling, Simulation in Biosciences (BIOMS), Heidelberg University. Research Interests: Ptashnyk’s work integrates mathematical analysis with biological systems, particularly in understanding root growth mechanics, water transport in soils, and cellular signaling. Her models address challenges in agricultural sustainability, drought mitigation, and plant-microbe interactions. She has pioneered techniques in homogenization theory and multiscale analysis for complex biological systems. Recent Trends in Publications: Her recent work emphasizes mechanotransduction pathways, root-water dynamics, and stochastic modeling of biological processes. Key themes include the role of rhizodeposition in soil rewetting, collective cell migration mechanisms, and non-local chemotaxis models. Awards: Heriot-Watt University Teaching Excellence Award (2019). The Student Union Oscars (2023). Teaching & Activities: Ptashnyk teaches courses like Advanced Mathematical Biology and Applied Analysis. She actively reviews for journals (e.g., Journal of Mathematical Biology ) and organizes conferences (e.g., SciCADE 2026). Her activities include visiting research stints at institutions like the Erwin Schrödinger Institute. Labs/Teams: While no specific lab is named, her collaborations span international teams in plant biology, computational mathematics, and environmental science.

• Applied Mathematics
• Electrochemical Systems
• Multiscale Porous Media Modeling
• +4 more

Professor Troy Farrell is the Executive Dean of the Faculty of Science at Queensland University of Technology (QUT). He holds a PhD (QUT) and B.Sc (Hons) from the University of Newcastle. His expertise lies in applied mathematics and physical chemistry, focusing on industrial systems like batteries, solar cells, and biomass processing. He leads major research projects in electrochemical nano-diodes, metal-air batteries, and coal seam gas modeling. Professor Farrell has secured over $2.8M in external funding and led national initiatives such as the Mathematics in Industry Study Group (MISG) and the ATN Industry Doctoral Training Centre. He is a Fellow of the Queensland Academy of Arts and Sciences and has received prestigious awards for his research and teaching. His teaching focuses on mathematical modeling, partial differential equations, and calculus, emphasizing student-centered pedagogy and innovation. Key achievements include developing multiphase models for food drying, phase-field models for lithium-ion batteries, and population balance models for biomass pretreatment. Research Projects: Mathematical modeling of biofuel production from cellulosic materials Electrochemical nano-diodes using Poisson-Nernst-Planck models Optimization of lithium-air batteries for secondary power Multiscale modeling of porous materials with hybrid continuum/particle methods Agrochemical uptake in plant cuticles Awards: ANZIAM Mid-Career Research Award (2015) QUT Vice-Chancellor's Award for Partnerships (2013) Australian Government Citation for Teaching Excellence (2006) Teaching & Leadership: Professor Farrell pioneered innovative teaching methods recognized by the Carrick Institute, coordinating undergraduate and postgraduate programs in Mathematical Sciences. He has mentored over 13 doctoral students and actively bridges academia-industry collaboration through leadership roles in MISG and the ATN IDTC. His work emphasizes translating mathematical models into real-world solutions for energy, agriculture, and environmental sectors. Labs & Teams: He oversees interdisciplinary teams at QUT specializing in electrochemical systems, porous media modeling, and industrial mathematics. Current collaborations include projects with sugar cane industries, battery manufacturers, and coal seam gas operators to address challenges like biomass storage safety and energy storage optimization.

Andrea BraidesView profile

Professor

• Calculus of Variations
• Gamma-convergence
• Homogenization
• +7 more

Andrea Braides is a Full Professor of Mathematical Analysis at the University of Rome Tor Vergata. He holds a dual affiliation with SISSA, Trieste. His research focuses on Calculus of Variations, Homogenization, and Discrete Systems, with applications to materials science and fracture mechanics. He has authored influential books like Gamma-convergence for Beginners and contributed to over 200 publications. His work bridges discrete and continuous models, addressing problems in phase transitions, lattice systems, and geometric measure theory. Affiliations: University of Rome Tor Vergata (Department of Mathematics), SISSA, Trieste. Education: Laurea in Mathematics (University of Pisa, 1983), PhD in Mathematics under Ennio De Giorgi at Scuola Normale Superiore. Research Interests: Braides' work emphasizes variational methods, Γ-convergence, and homogenization. He explores energy relaxation in discrete systems, phase transitions in Ising models, and microstructure analysis in materials. His recent studies include long-range interactions, anti-phase boundaries, and stochastic homogenization. Publications: His 150+ articles span topics like non-local energies, discrete-to-continuum limits, and ferromagnetic systems. Notable recent work includes studies on modulated phases in Ising systems (2025) and closure theorems for Γ-convergence (2024). Awards: Tullio Levi Civita Prize (2015), Timoshenko Fellowship (2004), Invited Speaker at ICM 2014. Advising & Leadership: Supervised 11 PhD theses, including those by R. Alicandro and M. Cicalese. Organized major conferences like the School on Multiple-scale Problems (2001) and the EMS Summer School (2018). Served on editorial boards of Archive for Rational Mechanics and Analysis and Networks and Heterogeneous Media . Labs/Teams: Coordinates research groups on variational problems, homogenization, and discrete systems at the University of Rome Tor Vergata and SISSA. Collaborates internationally, including with Oxford and TU Munich on multiscale phenomena.

Laurent-Emmanuel CALVETView profile

Professor

• Asset Pricing
• Household Finance
• Financial Econometrics
• +3 more

Laurent-Emmanuel Calvet is a Professor of Finance at SKEMA Business School, France. He holds a Ph.D. in Economics from Yale University and has held prestigious academic positions at Harvard University, Imperial College London, HEC Paris, and EDHEC Business School. His primary research focuses on asset pricing, household finance, and financial econometrics. Notably, he co-developed the Markov-Switching Multifractal model for financial volatility forecasting. Calvet is a founding member of the CEPR Network in Household Finance and affiliated with leading research centers in Europe. Education: Ph.D. in Economics, Yale University (1998) Ingénieur en Chef du Corps des Ponts et Chaussées, École des Ponts ParisTech (1994) M. Engineering, École Polytechnique (1991) Research Interests: His work integrates theoretical finance models with empirical data, emphasizing volatility dynamics, household investment behavior, and climate finance. He explores how security design and market innovations affect risk-taking and wealth distribution. Recent studies analyze investor heterogeneity, climate risk pricing, and multifrequency latent states in option pricing. Grants & Labs: Active in research networks like CEPR and collaborates on initiatives like the CEPR Advanced Forum for Financial Economics (CAFFE). His work often leverages large administrative datasets, particularly from Swedish households, to study portfolio behavior and wealth dynamics.

Isabelle GreffView profile

Lecturer

• Finite Element Modeling
• Multiscale Analysis
• Homogenization
• +3 more

Dr. Isabelle Greff is a Lecturer at the University of Pau and the Pays de l'Adour, affiliated with the Laboratory of Mathematics and their Applications. Her research focuses on finite element modeling, multiscale analysis, homogenization techniques, and computational methods for partial differential equations. Greff develops innovative numerical approaches for problems involving composite materials and random media. Her work on box-schemes for elliptic problems provides efficient computational frameworks for complex physical systems. She has collaborated on interdisciplinary projects connecting mathematical theory with engineering applications. Greff has supervised graduate research on variational principles and fractional dynamics, and contributes to mathematics education outreach through initiatives encouraging girls' participation in STEM fields.

Rémi AllègreView profile

Associate Professor

• Geometric Modeling
• Appearance Modeling
• Texture Synthesis
• +6 more

Rémi Allègre is an Associate Professor in Computer Science at the Institute of Technology Haguenau (IUT Haguenau), affiliated with the University of Strasbourg (France). He conducts research at the ICube CNRS laboratory within the Geometric and Graphical Computing (IGG) group. Department: Multimedia and Internet Professions (Internet and multimedia technologies) Research Lab: ICube - UMR 7357, CNRS Contact: remi.allegre@unistra.fr | +33 (0)3 88 05 34 39 His research focuses on Geometric Modeling , Appearance Modeling , and Texture Synthesis , with applications in 3D data processing, procedural modeling, and biomedical imaging. Key trends include: Developing differentiable point process models for inverse procedural modeling Creating GAN-based data augmentation techniques for histopathological images Advancing semi-procedural texture synthesis methods Improving dynamic surface reconstruction algorithms Investigating hybrid representations (implicit surfaces, meshes, point sets) Multiscale label-map extraction for structured texture synthesis Scientific recognition includes: AFIG 2005 Best Article Award He supervises doctoral students such as Pascal Guehl, Florian Allender, Guillaume Baldi, Steve de Rose, and Maximilien Nowak. Collaborations span the ICube laboratory and biomedical imaging projects.