Find Academic Supervisors

• Scientific Computing
• Numerical Analysis
• Numerical Methods for PDE
• +4 more

Professor Talal Rahman is a faculty member at the Western Norway University of Applied Sciences, where he works in the Department of Computer Science, Electrical Engineering and Mathematical Sciences. His office is located at Bergen KRONSTAD D305, and he can be reached at phone number +47 55 58 72 46. Professor Rahman's research spans several key areas in computational mathematics and scientific computing. His primary research interests include: Scientific Computing Numerical Analysis Numerical Methods for Partial Differential Equations Preconditioning Finite Element with Domain Decomposition Methods Variational Image Processing Artificial Intelligence and Machine Learning applications Professor Rahman's extensive publication record demonstrates a strong focus on domain decomposition methods, particularly Schwarz methods and their applications to multiscale problems. His recent work shows an increasing integration of machine learning techniques with traditional numerical methods, as evidenced by publications on neural network applications for environmental modeling and capelin migration patterns. His research also extends to biomedical applications, including computational analysis of biodegradable materials and bone tissue engineering scaffolds. He has made significant contributions to the development of adaptive preconditioners and parallel algorithms for solving complex numerical problems, with his work on the TV-Stokes model for image processing representing an important contribution to the field of variational image processing. Professor Rahman has supervised numerous research projects and students, though specific student names are not provided in the available information. His research appears to be supported by grants related to computational science and engineering, though specific grant details are not mentioned in the provided text. Based on his research areas, Professor Rahman likely collaborates with various research groups focused on computational science, with potential connections to biomedical engineering labs and environmental research teams studying the Barents Sea ecosystem.

Nicolas DoyonView profile

Professor

• Computational Neuroscience
• Mathematical Modeling
• Poisson Nernst Planck Equations
• +5 more

Nicolas Doyon is a Professor at the Department of Mathematics and Statistics , Université Laval, Canada. His research bridges mathematical modeling and neuroscience , focusing on ion transport, neural networks, and neurodegenerative diseases. He collaborates with experimentalists and companies like Doric Lenses . Education: B.Sc., Université Laval M.Sc., University of Montreal Ph.D., Theoretical Mathematics Postdoctoral Fellowship, Quebec City Institute of Mental Health Research Interests: Dr. Doyon investigates chloride homeostasis via the KCC2 cotransporter , its role in synaptic inhibition, and implications for diseases like epilepsy and autism. He develops finite element models for Poisson-Nernst-Planck equations to study electrodiffusion in complex neural geometries. Scientific Awards: Star Teacher (2016, Faculty of Science and Engineering) NSERC Individual Grant (35K$/year, 2014-2019) FQRNT Establishment Grant (20K$/year, 2013-2015) Students: Supervises Ph.D. and Master's students including Tahmineh Azizi (dynamical systems), Frank Boahen (dendritic spines), and Vincent Ouellet (analytic number theory).

• Computational Biophysics
• Membrane Biophysics
• Molecular Dynamics Simulations
• +5 more

Weria Pezeshkian is an Assistant Professor in the Biocomplexity research group at the Niels Bohr Institute, University of Copenhagen. With expertise spanning computational biophysics and membrane dynamics, Dr. Pezeshkian leads research that bridges physics, biology, and computational science to address fundamental questions in cellular mechanics. Dr. Pezeshkian's research focuses on: Computational modeling of cellular membranes and their dynamic properties Molecular dynamics simulations of protein-lipid interactions Membrane mechanics and curvature generation mechanisms Plasma membrane repair processes Development of computational methodologies for multiscale biological modeling Analysis of recent publications reveals a strong emphasis on membrane biophysics, particularly in understanding how proteins interact with and shape cellular membranes. The research combines advanced computational techniques with experimental data to model complex cellular processes across multiple scales. Key contributions include elucidating mechanisms of membrane repair, protein-induced membrane curvature, and innovative simulation methodologies like FreeDTS and TS2CG. Scientific recognition includes: MGMS Frank Blaney Award (2024) Dr. Pezeshkian maintains an extensive collaborative network across institutions and disciplines, focusing on integrative approaches to complex biological questions. The research has significant implications for understanding fundamental cellular processes and potential applications in disease mechanisms related to membrane dysfunction.

Xiaowei ZengView profile

Associate Professor

• Computational Mechanics
• Bone Mechanics
• Cell Motility Modeling
• +3 more

Dr. Xiaowei Zeng serves as Associate Professor and Graduate Advisor of Record for the PhD program in the Department of Mechanical Engineering at the Margie and Bill Klesse College of Engineering and Integrated Design, University of Texas at San Antonio (UTSA). He leads the Computational Mechanics Laboratory, focusing on theoretical and computational approaches to material behavior. His educational background includes: Ph.D. in Engineering, George Washington University Research interests center on computational mechanics with emphasis on bone fracture mechanisms , cell motility modeling , material failure analysis , and multiscale modeling . His work employs advanced methodologies including Finite Element Method (FEM), Cohesive FEM, Meshfree Methods, and Molecular Dynamics Simulation to bridge microstructural properties with macroscopic material behavior in biological and engineered systems. Analysis of recent publications (2019-2025) reveals dominant themes in bioinspired materials , bone mechanics , and cellular dynamics . Key trends include integration of machine learning for mechanics prediction, fracture analysis in polycrystals and biostructures, and multiscale approaches spanning molecular dynamics to continuum modeling. Research increasingly addresses material design challenges through interface engineering and computational optimization. As Graduate Advisor of Record, Dr. Zeng oversees PhD student mentorship in Mechanical Engineering. His research program receives sponsored funding for computational mechanics projects, though specific grant details are not provided in available sources. The Computational Mechanics Laboratory develops theoretical frameworks and computational tools to investigate material microstructure-macroscopic behavior relationships, with current projects targeting bone fracture, cell migration, and bioinspired nanocomposite design.

Spencer SzczesnyView profile

Associate Professor

• Biomechanics
• Mechanobiology
• Tissue Engineering
• +3 more

Spencer Szczesny serves as Associate Professor in both the Department of Biomedical Engineering and Department of Orthopaedics and Rehabilitation at Pennsylvania State University, where he leads the Multiscale Biomechanics and Mechanobiology Lab. His research bridges engineering and clinical orthopaedics to investigate tendon pathology, repair mechanisms, and biomaterial design through interdisciplinary approaches. His academic credentials include: PhD in Biomedical Engineering from University of Pennsylvania (2015) MS from Massachusetts Institute of Technology (2005) BS from University of Pennsylvania (2003) Dr. Szczesny's research centers on tendon multiscale mechanics and mechanobiology, examining how mechanical forces influence tissue remodeling in degeneration, repair, and development. His lab integrates multiscale mechanical testing, computational modeling, cell/tissue culture, and biomaterial fabrication to identify pathological mechanisms and develop novel therapeutics. This work directly contributes to UN Sustainable Development Goals in health and well-being through advancements in musculoskeletal treatments. Recent publications reveal strong thematic continuity in tendon/ligament biomechanics, with emphasis on cyclic loading effects across biological scales—from embryonic development to clinical ACL reconstructions. Key trends include sex-specific mechanoresponses, oxygen regulation in tissue culture, and structural determinants of multiscale mechanics, reflecting his lab's focus on translating fundamental mechanobiology into clinical applications. His active research portfolio includes five major grants: NSF CAREER award (2022-2027) on tendon cell mechanobiology in native tissue environments US-Ireland R&D Partnership (2022-2026) for engineering load-bearing soft tissues U.S. Army project (2021-present) identifying mechanobiological deficits in allograft ACL reconstructions Congressionally Directed Medical Research Programs project (2020-present) on same topic National Institute of Arthritis grant (2022-2023) on gene expression-tissue strain colocalization The Multiscale Biomechanics and Mechanobiology Lab maintains cross-disciplinary collaborations spanning engineering, developmental biology, and orthopaedic surgery, with recent work highlighted by 6 news outlets and generating significant social media engagement among researchers.

Andrew BraggView profile

Associate Professor

• Turbulence
• Fluid Dynamics
• Theoretical Fluid Dynamics
• +12 more

Andrew Bragg is an Associate Professor in the Department of Civil and Environmental Engineering at Duke University's Pratt School of Engineering. His research focuses on turbulence and fluid dynamics with applications in environmental systems, including atmospheric and oceanic flows, sediment transport, and climate modeling. Research Interests: His primary research areas include the physics and modeling of turbulence, theoretical and computational fluid dynamics, and applied mathematics. He investigates multiscale turbulent transport phenomena, especially in environmental contexts where unresolved scales challenge large-scale models. His work integrates statistical physics, high-performance computing, and collaboration with experimentalists. The recent publications (2024–2023) reflect a strong trend in understanding turbulence across environmental and engineered systems. Key themes include particle and scalar transport in stratified and wall-bounded flows, bubble-induced turbulence, surfactant effects, Lagrangian modeling, and subgrid-scale parameterizations for climate models. The research spans fundamental fluid mechanics to applied environmental engineering, often using advanced computational and theoretical frameworks. Scientific Awards: National Science Foundation CAREER Award (2021) EUROMECH Young Scientist Award (2017) Advising and Grants: While specific students are not listed, Dr. Bragg has secured competitive funding, notably the NSF CAREER award, indicating active mentorship and research leadership. He teaches graduate-level courses such as ME/CEE 634/688: Turbulence and CEE 690: Advanced Topics in Civil and Environmental Engineering, suggesting involvement in training the next generation of researchers. Labs and Teams: Dr. Bragg collaborates extensively with researchers across institutions and disciplines, including experimentalists and modelers in atmospheric science, mechanical engineering, and environmental engineering. His work is part of a broader effort to improve predictive models for environmental resilience and risk assessment.

Saiied AminossadatiView profile

Associate Professor

• Thermofluids
• Mine Ventilation
• Computational Fluid Dynamics
• +4 more

Associate Professor Saiied Aminossadati is a faculty member at the University of Queensland's School of Mechanical and Mining Engineering, with affiliate positions at the Future Autonomous Systems and Technologies (FAST) and Centre for Multiscale Energy Systems. He holds a BEng (1989), MEng (1994), and PhD (1999) in Mechanical Engineering, along with a Graduate Certificate in Higher Education. His research focuses on thermofluids, mine ventilation systems, computational fluid dynamics applications in mining, fibre-optic sensing technologies, and gas management systems. Specific interests include porous media flow, underground mine ventilation optimization, energy systems modeling, and industrial fluid dynamics. With 180+ publications spanning mining ventilation, energy systems, and fluid mechanics, recent work demonstrates strong emphasis on computational modeling of industrial processes. Research trends show increasing focus on renewable energy applications (solar collectors, nanofluids), mining safety (methane dispersion, aerosol transmission), and sustainable resource recovery (plastic depolymerization, hydraulic fracturing). He has secured 16 research grants totaling $2.65M and serves as academic advisor for 26 research higher degree students (18 graduated, 8 current). Keynote speaker at international conferences including Mine Ventilation Symposium (2009) and Fibre Optic Sensing Conference (2015). Reviewer for 30+ international journals in mechanical and mining engineering disciplines.

• Solar Cells
• Electrocatalysis
• Materials Science
• +5 more

Carmine Pellegrino is a Researcher at the Technical University of Munich , affiliated with the Simulation of Nanosystems for Energy Conversion group under Prof. Alessio Gagliardi within the School of Computation, Information and Technology . His work bridges computational nanosystems with energy conversion technologies. Research Interests: Defect analysis in semiconductor materials for solar cells Impact of radiation damage on photovoltaic performance Multiscale modeling of energy conversion systems Integration of machine learning for materials predictions Electrocatalysis and hybrid organic-inorganic devices Recent Publications focus on GaAs solar cells, including studies of defect spectroscopy, dark current behavior, and radiation-induced degradation mechanisms. His work spans experimental characterization and computational modeling of semiconductor physics. Collaborations include the DFG e-Conversion Cluster III, TUM Innovation Network ARTEMIS, and EU Lion-Hearted projects. He contributes to thesis supervision at TUM, guiding Master's and Bachelor's research practices.

Matthew R. LiberaView profile

Professor

• Polymeric biomaterials
• Hydrogels
• Biomaterials-associated infection
• +3 more

Matthew R. Libera is a Professor of Materials Science at the Stevens Institute of Technology , affiliated with the Schaefer School of Engineering and Science and the Department of Chemical Engineering and Materials Science . He directs the Laboratory for MultiScale Imaging (LMSI) , a facility specializing in TEM, SEM, AFM, and confocal imaging of soft materials. Education: Sc.D., MIT (1987) - Materials Science (Minor: Physics) S.M., MIT (1983) - Materials Science B.S., Lafayette College (1981) - Metallurgical Engineering His research spans polymeric biomaterials , hydrogels , and electron microscopy , focusing on infection-resistant biomaterials and microbial diagnostics. He has pioneered electron-beam lithography and electron energy-loss spectroscopy for soft-materials analysis. Recent work explores microgel-tethered molecular beacons , self-defensive hydrogel coatings , and biofilm mechanics . His publications emphasize biomaterials-associated infection and nanoscale imaging techniques. He has served as Associate Dean for Graduate Academics & Research (2013-2018) and held academic roles at IBM Research and MIT.

Alexandre Santos FranciscoView profile

Professor

• porous media
• computational mathematics
• computational fluid mechanics
• +3 more

Alexandre Santos Francisco is Professor of Fluid Mechanics at Fluminense Federal University (Universidade Federal Fluminense) in Brazil, holding a PhD in Nuclear Engineering. He will soon serve as Visiting Professor at the ERC Advanced Grant project DyCon under Prof. Enrique Zuazua (FAU, University of Deusto, and Universidad Autónoma de Madrid), focusing on computational mathematics and porous media research. His academic credentials include: PhD in Nuclear Engineering (1994–2000), Federal University of Rio de Janeiro Master's Degree in Nuclear Engineering (1990–1993), Federal University of Rio de Janeiro Bachelor's Degree in Mechanical Engineering (1984–1990), Federal University of Rio de Janeiro Internship at Petrobras (1988) Francisco's research centers on porous media, computational mathematics, and computational fluid mechanics, with emphasis on numerical methods for heterogeneous media flows. His work bridges nuclear engineering safety, environmental contaminant transport, and industrial process optimization through advanced simulation techniques. Analysis of his 15 most recent publications reveals dominant trends in multiscale modeling for porous media, parallel computing implementations, and reliability assessment in nuclear systems. Key application areas include waste disposal simulation, steam generator integrity, and multiphase industrial processes, consistently integrating mathematical rigor with engineering challenges. No scientific awards are documented in the provided materials. While student advisement details are absent, his upcoming ERC Advanced Grant project DyCon involvement signifies active grant-funded research. The project will expand his work on mathematical control theory for complex systems under Prof. Zuazua's supervision. He collaborates internationally through the ERC DyCon project, leveraging expertise in numerical methods to address multiscale dynamics in porous media, with future work likely advancing computational techniques for energy and environmental applications.

Martin RypdalView profile

Professor

• Climate Modeling
• Stochastic Processes
• Complex Systems
• +6 more

Professor Martin Rypdal is a faculty member at the Faculty of Science and Technology , UiT The Arctic University of Norway, where he has served as Professor and Head of Department of Mathematics and Statistics since 2017. He holds a PhD in mathematics (2008) and a Cand. Scient. in mathematics (2004) from the University of Tromsø. Research Focus: Climate modeling, long-range dependent climate variability, stochastic processes, complex systems, multiscale analysis, and applications in public health (e.g., juvenile idiopathic arthritis, dengue dynamics). Leadership: Leads UiT's initiative on "The Dynamics of the Climate in the Arctic" and co-manages projects funded by the Norwegian Research Council. Outreach: Active science communicator with media appearances on climate and health research, including articles in Science Advances , Nature , and Ecology Letters . His recent publications (2025-2018) span climate science, public health, and statistical physics, emphasizing deep learning applications in paleoclimatology, Arctic sea ice loss, pandemic dynamics, and nonlinear climate responses. Scientific Awards: Recipient of the Faculty Teaching Price (2007, 2015). Supervises 3 PhD students and co-supervises 2, with 16 completed master's students.

• Damage Mechanics
• Fracture Mechanics
• Additive Manufacturing
• +7 more

Zhiliang Zhang is a Professor of Mechanics and Materials at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU) . He is renowned for his contributions to fracture mechanics and material science, serving as Editor-in-Chief of Engineering Fracture Mechanics and recipient of the Griffith Medal from the European Structural Integrity Society (ESIS). His research focuses on damage mechanics, hydrogen embrittlement, and anti-icing materials, utilizing experimental and computational approaches. Education: BSc and MSc in Structural Engineering, Tongji University (1985, 1988) PhD in Mechanical Engineering, Lappeenranta University of Technology (1994) Research Interests span damage and fracture mechanics , additive manufacturing (AM) , hydrogen embrittlement , and anti-icing surface development . His work integrates multiscale computational modeling with nanomechanical experiments , addressing challenges in energy, structural integrity, and material design. Publication Trends highlight his expertise in hydrogen embrittlement , gas hydrate adhesion , anti-icing surfaces , and additive manufacturing . His articles in journals like Chemical Reviews and Advanced Materials emphasize predictive modeling , nanoscale characterization , and sustainable material solutions . Scientific Awards include Griffith Medal (2024, ECF24) ESIS Fellow (2014) Norwegian Academy of Technological Sciences membership Academic Service involves external doctoral examinations at institutions like Paris Tech and National University of Singapore, and faculty review roles at Imperial College and University of Michigan. He founded the NTNU Nanomechanical Lab in 2006 and has led 14 externally funded projects totaling over €12 million.

• Plant Development
• Computational Biology
• Systems Biology
• +6 more

Dr. Monica Garcia Gomez is an Assistant Professor at the Faculty of Science , Utrecht University , affiliated with the Theoretical Biology group. Her research integrates computational modeling and experimental approaches to study plant development, focusing on root regeneration, stem cell dynamics, and responses to environmental stress. University: Utrecht University Department: Theoretical Biology Her work spans disciplines such as Systems Biology , Computational Biology , and Stem Cell Research , with a particular emphasis on Arabidopsis thaliana as a model organism. Recent publications highlight her contributions to understanding transcriptional stochasticity in stem cell differentiation, multiscale mechanisms in root regeneration, and the integration of mechanistic models with machine learning. Her research often employs gene regulatory network models , phytohormone interactions , and multiscale modeling to dissect developmental processes. She collaborates with groups like the Experimental and Computational Plant Development (IEB) and contributes to translational plant biology through the PlantXR program.

• Evolutionary Biology
• Bacterial Physiology
• Mechanisms of Gene Regulation and Transcription Networks
• +7 more

Rutger Hermsen is an Assistant Professor in the Science Biology faculty at Utrecht University , leading the Hermsen lab under the Theoretical Biology and Bioinformatics group and the Institute for Biodynamics & Biocomplexity. His work focuses on mathematical and computational models of biological systems, particularly bacterial physiology and evolutionary biology. Email : r.hermsen@uu.nl Contact : Hugo R. Kruytgebouw, Padualaan 8, Kamer N602, 3584 CH Utrecht Research Interests span evolutionary theory, population dynamics, gene regulation, and bacterial physiology. He develops models to study eco-evolutionary interactions, such as antibiotic resistance development, and applies multiscale frameworks to analyze selection pressures in spatially structured populations. His work bridges theoretical biology with bioinformatics and computational methods. Publications highlight his expertise in analyzing spatial selection mechanisms (2024), cellular regulatory networks (2023), and evolutionary transitions (2022). These studies integrate mathematical models with experimental data to address fundamental biological questions. Supervision includes Bryan Verhoef, whose NWO-funded PhD project explores antibiotic resistance modeling, and Charlotte de Vries, a senior postdoc studying aging's role in evolutionary transitions. Collaborations extend to the Tans group at AMOLF for bacterial growth experiments. Laboratory combines computational approaches with interdisciplinary research, focusing on bacterial homeostasis, multilevel selection, and eco-evolutionary demography. The lab contributes to understanding cellular regulatory mechanisms and evolutionary processes through innovative theoretical frameworks.

Christophe GrovaView profile

Associate Professor

• Neuroimaging
• Epilepsy
• Sleep Research
• +6 more

Christophe Grova is an Associate Professor at the Department of Neurology and Neurosurgery at McGill University , with adjunct status in the Department of Biomedical Engineering . He leads the Multimodal Functional Imaging Laboratory , focusing on integrating EEG, MEG, fMRI, and fNIRS to study brain mechanisms in epilepsy and sleep disorders. Expertise in multimodal neuroimaging techniques Develops advanced source localization algorithms Key applications in epilepsy diagnosis and sleep physiology His research bridges neuroimaging and clinical translation , with a focus on: EEG-fNIRS integration for whole-night sleep monitoring Validation of MEG and fMRI connectomes with intracranial EEG Computational modeling of neuron-astrocyte interactions Development of open-source tools like NIRSTORM The lab collaborates across institutions, including the McConnell Brain Imaging Centre and Concordia University . Current projects emphasize glymphatic system dynamics , epileptogenic zone localization , and neurovascular coupling mechanisms.