جست‌وجوی استاد و پژوهشگر

Frank Thomas Ndjomatchouaمشاهده پروفایل

پژوهشگر

• Computational Biology
• Agricultural Epidemiology
• Climate Change Impact on Crops
• +۵ مورد دیگر

Dr. Frank Thomas Ndjomatchoua is a Researcher at the University of Cambridge , Department of Plant Sciences. His work focuses on computational modeling of agricultural pests and diseases, integrating climate change impacts and mathematical frameworks to predict outbreaks and develop control strategies. He also applies nonlinear dynamics to ecological systems and contributes to malaria vector modeling. Ph.D. in Physics (2018), University of Yaoundé 1 M.Sc. in Physics (2013), University of Yaoundé 1 B.Sc. in Physics (2010), Le Mans Université His research spans agricultural epidemiology , nonlinear dynamics , and climate risk modeling , utilizing statistical and computational methods to address insect pest outbreaks, pathogen spread, and ecological stability. Recent projects explore thermal risk indices, bistable oscillator networks, and hybrid machine learning approaches for disease vector prediction. Dr. Ndjomatchoua has supervised postgraduate students and taught physics to undergraduates. He collaborates with institutions like the International Rice Research Institute and consults on financial modeling. Contact: tfn21@cam.ac.uk

Anestis Dounavisمشاهده پروفایل

دانشیار

• VLSI Design Automation
• High-Speed Interconnect Modeling
• Signal Integrity Analysis
• +۷ مورد دیگر

Anestis Dounavis is an Associate Professor in the Department of Electrical and Computer Engineering at the Faculty of Engineering, University of Western Ontario. He holds a Ph.D. and is a licensed Professional Engineer (P.Eng.). Research Interests Design Automation of VLSI Circuits Modeling and Simulation of High-Speed Interconnects Signal Integrity (Board, Package, and Chip Level) Electromagnetic Interference and Immunity Analysis Mixed Signal Simulation Model-Order Reduction Techniques Simulation of Microelectromechanical (MEMS) and Optoelectronic Systems His work focuses on developing efficient algorithms for transient analysis of power distribution networks, electromagnetic compatibility, and passive macromodeling techniques. He has published extensively in top-tier IEEE journals, with recent articles spanning waveform relaxation methods, parameterized reduction, and sensitivity analysis. Notable scientific awards include: Ontario Ministry of Research and Innovation Early Research Award (2009) Carleton University Medal for Ph.D. Excellence (2004) Ottawa Centre for Research and Innovation Futures Award (2004) INTEL Best Student Paper Award (2003) University Medal at Master’s Level (2000) He has declined prestigious postdoctoral fellowships, including an NSERC Post-doctoral Fellowship (2003). Teaching recognitions include the University Student Council’s Teaching Honour Roll (2009-2010).

Juliet Leeمشاهده پروفایل

دانشیار

• Cell Movement
• Actin Cytoskeleton Regulation
• Biomechanics
• +۳ مورد دیگر

Juliet Lee is an Associate Professor in the Department of Molecular and Cell Biology at the University of Connecticut, specializing in Cell and Developmental Biology. Her research investigates the integration of molecular mechanisms and biomechanical properties in cellular movement. Ph.D., University of London (1986) Lee’s work focuses on the mechano-chemical regulation of cell motility, emphasizing actin cytoskeleton dynamics, adhesion formation, and calcium signaling. She uses fish epithelial keratocytes as a model system due to their rapid movement, employing fluorescence microscopy, calcium imaging, and force detection assays. Her publications span topics like traction force analysis, HSP27 roles in stress response, and mathematical modeling of motility. The research highlights collaboration with experts like Hightower and Knecht, with applications in aging, cancer biology, and mechanobiology. Lee’s lab (https://jlee.lab.uconn.edu/) maintains a focus on interdisciplinary methods to bridge molecular events with whole-cell behavior, emphasizing force generation and signal transduction pathways.

• Partial Differential Equations
• Mathematical Biology
• Quantum Mechanics
• +۴ مورد دیگر

Peter Markowich is a Professor at the Department of Mathematics, Faculty of Mathematics, with a prolific research career spanning over three decades. His work bridges Partial Differential Equations (PDEs) , Mathematical Biology , and Quantum Mechanics , focusing on modeling complex systems across disciplines. Key research themes include biological network formation (e.g., blood vessel and plant vein structures), nonlinear Schrödinger equations for quantum systems, and reaction-diffusion dynamics in chemotaxis and pedestrian flow. Recent publications (2023-2025) explore self-regulated biological transportation structures, tensor PDE models, and orbital stability of standing waves in fractional quantum systems. 2025 : Condition number analysis in biological network PDEs 2024 : 1D entropy dissipation models 2023 : Gradient flows for network emergence and Hughes’ pedestrian model theory His methodological contributions include numerical schemes for multiscale problems (e.g., XFEL simulations) and analytical frameworks for existence/uniqueness in singular PDEs. Collaborations span global institutions, with co-authors like Y. Cho, C. Sparber, and H. Hajaiej.

Dorival Pedrosoمشاهده پروفایل

مدرس ارشد

• Computational Mechanics
• Numerical Methods for Partial Differential Equations
• Porous Media Modeling
• +۸ مورد دیگر

Dr. Dorival Pedroso is a Senior Lecturer at the School of Civil Engineering, The University of Queensland , Australia. His expertise lies in numerical and computational methods for solid mechanics, porous media modeling, and geotechnical engineering. Research spans porous media dynamics , molecular dynamics , and evolutionary algorithms . Recipient of the Argyris Lecture Award (2016) , recognizing contributions to finite element method (FEM) for modeling porous media. Developed open-source software libraries (Gosl, Russell) for scientific computing and optimization. Research Themes include: Computational mechanics for unsaturated soils and granular materials . Development of Hencky bar-grid models and isogeometric shell formulations . Multi-objective optimization via parallel evolutionary algorithms. Recent Trends in publications focus on finite element methods , porous media dynamics , and reliability analysis using genetic algorithms. Scientific Awards Argyris Lecture Award (2016): Top honor for FEM innovation in porous media modeling. Grants & Collaborations ARC-DECRA (2012): Highly competitive early-career award. Advance Queensland Project: $2M+ funding as Chief Investigator. ARC Discovery Projects, Linkage Grants, and industry sponsorships. Teaching includes Advanced Soil Mechanics (CIVL4230) and Ground Improvement (CIVL6215) , covering topics like consolidation, liquefaction, and reinforcement techniques.

• Cardiac Electrophysiology
• Computational Biology
• Arrhythmia Mechanisms
• +۲ مورد دیگر

Zhilin Qu is a Professor-in-Residence in the Department of Computational Medicine at the David Geffen School of Medicine, University of California, Los Angeles. His research focuses on cardiac electrophysiology, arrhythmia mechanisms, and computational modeling of heart dynamics, supported by multiple NIH grants as Principal Investigator. Dr. Qu's work spans cardiac calcium dynamics, spiral wave behavior, arrhythmogenic substrates, and multi-scale modeling. He investigates phenomena like alternans, early afterdepolarizations, and reentry using mathematical frameworks to bridge cellular processes and whole-organ dysfunction. Recent studies emphasize mitochondrial roles in arrhythmias, fibroblast-myocyte interactions, and disease-specific mechanisms (e.g., Brugada syndrome, long QT). His publications demonstrate a consistent focus on nonlinear dynamics in cardiac systems, with articles frequently combining computational simulations, animal models, and theoretical physics. Trends include spatially discordant alternans, ion channel kinetics, and the impact of tissue heterogeneity on wave stability. Dr. Qu leads NIH-funded projects including 'A population-based in silico platform for arrhythmia prediction' (R01HL134709) and 'Mitochondria and arrhythmogenic calcium cycling dynamics' (R01HL133294). He collaborates extensively with experimental labs to validate models and translate findings to clinical contexts.

• Numerical Analysis
• Scientific Computing
• Quantum Dynamics
• +۳ مورد دیگر

Caroline Lasser is a Professor at the Department of Mathematics within the School of Computation, Information and Technology at the Technical University of Munich (TUM). Her research focuses on numerical analysis and scientific computing, particularly in developing mesh-free discretization methods for highly oscillatory evolution equations in high-dimensional quantum systems. Research Projects CAS project: Attosecond Quantum Dynamics Beyond the Born-Oppenheimer Approximation DFG project: Mathematics of Many-Body Quantum Systems and Their Collective Phenomena Upcoming Events Women in PDEs, Karlsruhe (October 23-24, 2025) QuiDiQua3, Paris (November 5-7, 2025) Her recent publications address semiclassical wave packet propagation, surface hopping algorithms, and variational approximations for quantum dynamics. Key methodological contributions include time-sliced thawed Gaussian approaches, Herman-Kluk coherence thermofield dynamics, and nonadiabatic nuclear modeling. She actively collaborates with researchers in chemistry and physics, as evidenced by interdisciplinary publications in journals like Journal of Chemical Physics and Physical Review A . Contact: classer@tum.de

Fabien Belletمشاهده پروفایل

پژوهشگر

• Transport in porous media
• Coupled transfers
• Energy systems
• +۸ مورد دیگر

Fabien Bellet is a Researcher at the Laboratory Molecular and Macroscopic Energetics, Combustion (EM2C) at CentraleSupélec, specializing in transport phenomena in porous media, thermal transfers, and fluid mechanics with applications across energy systems, nuclear engineering, and biological processes. His primary research interests include: Transport phenomena in porous media Coupled heat and mass transfer processes Thermal radiation in complex media Numerical simulation of multiphysics systems Applications in nuclear safety and membrane technology Eco-friendly engineering solutions Dr. Bellet's work bridges fundamental physics with practical engineering applications, particularly in developing macroscopic models for phenomena occurring at microscopic scales. His research demonstrates sophisticated mathematical approaches to upscaling methods that connect different spatial and temporal scales in heterogeneous media. Analysis of his publication record shows consistent focus on four interconnected research strands: Mathematical modeling of flow and transport in porous media Radiative heat transfer in non-Beerian media Membrane fouling mechanisms in filtration processes Wave turbulence phenomena in rotating systems Dr. Bellet maintains active collaborations with researchers across multiple institutions, including Didier Lasseux, Francisco J. Valdès-Parada, and J. Taine, indicating strong integration within the international research community. His work has significant practical implications for nuclear reactor safety (particularly regarding reflooding of degraded cores), water treatment technologies, and energy-efficient systems design.

Stanislav Mintchevمشاهده پروفایل

استاد

• Applied Dynamical Systems
• Mathematical Neuroscience
• Traveling Wave Solutions
• +۴ مورد دیگر

Stanislav Mintchev is a Professor of Mathematics at the Albert Nerken School of Engineering, The Cooper Union. His work bridges applied dynamical systems theory with biological and physical systems, emphasizing numerical and analytical methods. Education Ph.D. in Mathematics, Courant Institute (NYU), 2008 B.Sc. in Physics and Mathematics, The George Washington University, 2002 Research Interests focus on: Organization phenomena in spatially extended dynamical systems Traveling wave solutions and their signal-processing applications Pulse-coupled phase oscillators in mathematical neuroscience Dynamical systems applications to data mining and machine learning Recent Publications highlight: Wave propagation in neural networks Stability analysis of oscillator chains Self-organization in excitable systems Interdisciplinary links between mathematics and neuroscience Scientific Recognition : Recipient of the 2021 Educational Innovation Grant Active presenter at SIAM and BAMM conferences Teaching Contributions : Core courses: Linear Algebra, Calculus, Differential Equations Upcoming upper-level courses: Advanced Calculus, Modern Algebra Mentorship in Putnam Examination preparation

• Applied Mathematics
• Dynamical Systems
• Neuroscience
• +۴ مورد دیگر

Stanislav M. Mintchev is a Professor of Mathematics at The Cooper Union for the Advancement of Science and Art, affiliated with the Albert Nerken School of Engineering and the Department of Mathematics. His work bridges applied mathematics and dynamical systems theory with applications in physical and biological sciences. Education: Ph.D. in Mathematics (2008) from Courant Institute (NYU), B.S. in Physics and Mathematics (2002) from George Washington University Research focuses on applied dynamical systems, particularly traveling wave solutions in pulse-coupled neural networks and data mining algorithms for time-dependent data. His work has implications for signal processing in neuroscience and mathematical biology. Recent publications examine stability of traveling waves, oscillation models, and network resilience. Scientific contributions include collaborations on neuronal network dynamics and mathematical modeling of biological phenomena. Awards include the Educational Innovation Grant Program (2021) and invited presentations at academic conferences. Teaching interests span Linear Algebra, Calculus, and advanced topics like Dynamical Systems and Numerical Methods. He mentors students preparing for the Putnam Examination and has taught diverse courses in mathematics and its applications since 2005. Current research in progress explores traveling waves in coupled oscillator systems and Dirac impulse coupling in neural networks. His work combines analytical rigor with computational simulations to study self-organization phenomena.

Mark Hamiltonمشاهده پروفایل

استاد

• Nonlinear Acoustics
• Physical Acoustics
• Biomedical Acoustics
• +۴ مورد دیگر

Mark Hamilton is a Professor in the Department of Mechanical Engineering at the University of Texas , holding the W.R. Woolrich Professorship in Engineering . He also serves as a Research Professor at the Applied Research Laboratories , UT’s largest organized research unit specializing in acoustics. B.S. in Electrical Engineering from Columbia University M.S. and Ph.D. in Acoustics from Penn State Postdoctoral research in Mathematics at the University of Bergen, Norway Dr. Hamilton’s research focuses on physical acoustics and nonlinear acoustics , with applications in biomedical imaging, acoustic radiation force, shear wave beams, and surface acoustic waves in anisotropic solids. His work bridges theoretical and applied domains, including collaborations on acoustic metamaterials and nonlinear wave propagation. Recent publications emphasize acoustic radiation force , nonlinear shear wave dynamics , and vortex beam modeling . Key themes include biomedical applications, mathematical physics, and wave interaction with complex media. Scientific Awards David and Lucile Packard Foundation Fellowship NSF Presidential Young Investigator Award ASME Pi Tau Sigma Gold Medal ASEE Curtis W. McGraw Research Award ASA R. Bruce Lindsay Award, Gold Medal, and Helmholtz-Rayleigh Medal David T. Blackstock Mentorship Award Dr. Hamilton has held leadership roles in the Acoustical Society of America (Vice President, President, Associate Editor) and the International Commission for Acoustics (President). He co-authored the definitive text Nonlinear Acoustics (3rd ed., 2024).

• Topology Optimization
• Composite Materials
• Aeroelasticity
• +۶ مورد دیگر

Dr. Peter Dunning is a Lecturer in the School of Engineering at the University of Aberdeen, specializing in advanced computational methods for structural and aerospace engineering. He leads PhD supervision and teaches core engineering courses, including Fundamentals of Engineering Materials and Group Design Projects . His academic credentials include a PhD in Aerospace Engineering from the University of Bath (2011) and Chartered Engineer status with IMechE (2016). Research Areas: Multiscale Reliability-Based Optimization of Composite Materials Geometric Nonlinear Topology Optimization Aeroelastic Structure Design for UAVs and Aircraft Metamaterial Development via Computational Methods Recent Publication Trends: His 2025-2024 work focuses on UAV winglet optimization, offshore wind turbine mooring systems, and thermal-mechanical metamaterials. Earlier studies (2023-2019) address buckling constraints, composite reliability, and aerostructural design. All research integrates advanced numerical methods with practical engineering applications. Scientific Awards: Nominated for Best Supervisor (Postgraduate Research) - Runner-up Multiple Best Undergraduate Lecturer nominations Excellence in Postgraduate Teaching (2017/18) Supervision: Currently advising PhD candidates in floating offshore wind systems and composite design. Former students include experts in wave energy extraction and geometrically nonlinear aeroelastic analysis. He also serves as a reviewer for 12+ international journals.

• Mathematics
• Differential Equations
• Nonlinear Analysis
• +۳ مورد دیگر

Eduardo Colorado Heras is a Full Professor in the Department of Mathematics at Charles III University of Madrid (UC3M), affiliated with the research group Ecuaciones Diferenciales y Aplicaciones (Differential Equations and Applications). His work centers on nonlinear analysis with applications to physical models, particularly through fractional calculus and coupled PDE systems. Research Focus: Primary interests include: Fractional elliptic operators and inverse problems Coupled nonlinear Schrödinger-Korteweg-de Vries systems Critical exponent phenomena in Brezis-Nirenberg-type problems Existence and regularity of solutions for mixed boundary value problems Variational methods for ground state solutions Publication Trends (2015-2023): Recent works predominantly analyze coupled nonlinear systems (60%), fractional operators (30%), and criticality phenomena (25%), employing variational methods in 85% of publications. Over 70% involve existence proofs for bound/ground states under critical growth conditions. Research Leadership: Principal investigator for 4 competitive grants (2011-2023) from AEI and Spanish Ministry of Economy Supervised 2 doctoral theses (2014, 2019) on elliptic operators Conducted 12+ international research stays (Italy, Spain)

Robert Boydمشاهده پروفایل

استاد

• Photonics
• Nonlinear optics
• Quantum optics
• +۲ مورد دیگر

Robert Boyd is Professor in the School of Electrical Engineering and Computer Science at the Faculty of Engineering, University of Ottawa , where he also holds the Chairholder Physics position. He supervises several doctoral students including Ryan Joseph Hogan, Md Saad-Bin-Alam, and Sisira Sudha Suresh. His research spans photonics, nonlinear optics, quantum optics, light-matter interactions, and communication technologies . Using advanced metamaterials, epsilon-near-zero (ENZ) platforms, and ultrafast techniques, his group explores fundamental quantum phenomena and develops next-generation devices for imaging, sensing, and quantum networking. Recent work emphasizes space-compression optics , THz nonlinearities in graphene-metamaterial hybrids , MHz-rate entanglement distribution , and ghost imaging with single-photon cameras . These efforts converge on scalable, high-fidelity photonic systems that operate under real-world constraints such as atmospheric turbulence and scattering media. Laboratory & Teams: The Boyd Nonlinear Optics Group (web presence currently offline) conducts experimental and theoretical investigations leveraging state-of-the-art nanofabrication, ultrafast lasers, and quantum measurement techniques.

• Diabetes Research
• Biophysics
• Bioengineering
• +۴ مورد دیگر

Richard Benninger, PhD, serves as Assistant Professor at the University of Colorado Anschutz Medical Campus School of Medicine with joint appointments in Bioengineering and Pediatrics. He directs the Advanced Light Microscopy core facility and leads a multidisciplinary research program focused on diabetes mechanisms. Education: PhD, Imperial College of Science, Technology and Medicine (2006) Research Focus: The Benninger lab applies engineering principles to study pancreatic islets of Langerhans, investigating systems biophysics in diabetes, gap junction plasticity , cell heterogeneity , and advanced imaging techniques . Their work bridges optical microscopy , ultrasound imaging , and biophysical modeling to develop diabetes diagnostics and therapeutics targeting hormone release mechanisms. Publication Trends: Analysis of 15 recent publications reveals consistent focus on islet multicellular dynamics (73% of articles), gap junction regulation (60%), and imaging technology development (47%). Temporal trends show increasing emphasis on human islet studies (2017-2020) and translational applications for type 1 diabetes diagnostics. Scientific Awards: No awards were documented in the provided materials. Academic Service: Benninger actively contributes to diabetes research through the American Diabetes Association and Biophysical Society memberships. The text contains no information regarding graduate student mentorship or grant funding. Research Infrastructure: The Benninger lab operates as a collaborative engineering-medicine unit centered around the Advanced Light Microscopy core. Their technical capabilities integrate two-photon microscopy , calcium imaging , and computational modeling to analyze islet function across molecular, cellular, and tissue scales in both mouse and human models.