جست‌وجوی استاد و پژوهشگر

David Smithمشاهده پروفایل

استاد

• Microscale biological fluid dynamics
• Sperm motility and fertility modeling
• Cilia and flagellar mechanics
• +۵ مورد دیگر

David Smith is a Professor of Applied Mathematics at the University of Birmingham and Deputy Director of Research and Knowledge Transfer at the Engineering and Physical Sciences Healthcare Technologies Institute. He is renowned for his interdisciplinary research applying mathematical modeling to medicine and biology, particularly in microscale fluid dynamics of fertility, sperm motility, cilia mechanics, and mathematical endocrinology. Research Interests: Microfluid dynamics of fertility and reproduction, especially sperm motility and embryonic nodal cilia Mathematical endocrinology, including pharmacokinetics of cortisol and thyroid disease Development and application of regularized Stokeslets methods for biological flows Bayesian modeling for spectroscopic biomedical diagnostics Multiscale modeling in reproductive health and cell motility His recent publications span computational tools for viscous flow, dinoflagellate swimming, kinetic modeling of biochemical reactions, and Bayesian diagnostics using Raman spectroscopy, reflecting a broad and impactful interdisciplinary portfolio. Projects & Grants: Principal Investigator, EPSRC project on rapid sperm capture using imaging and machine learning (2016–2022) Co-Investigator, US Army and UK Ministry of Defence projects on traumatic brain injury biomarkers (2021–2028) Alan Turing Institute Turing Fellowship (2019–2020) EPSRC and Proctor & Gamble supported parameter estimation projects Smith chairs the editorial board of Mathematics in Medical and Life Sciences , has organized major conferences on bioactive fluids, and delivered keynote lectures on regularized Stokeslets methods. He currently supervises four PhD students and a postdoctoral fellow, welcoming new doctoral applicants.

Ricardo Cortezمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Numerical Methods
• Biological Fluid Flow Applications
• +۳ مورد دیگر

Ricardo Cortez is the Pendergraft William Larkin Duren Professor in the Mathematics Department at Tulane University, part of the School of Science & Engineering. He holds a Ph.D. in Applied Mathematics from the University of California, Berkeley (1995), and dual B.S. degrees in Mechanical Engineering and Mathematics from Arizona State University (1986, 1988). His research focuses on computational fluid dynamics, numerical methods, and biological fluid flow applications, including studies of microorganism motility, immersed boundary problems, and Stokes flow simulations. Cortez has developed influential methods like the Regularized Stokeslets and Lagrangian Vortex/Impulse approaches, which address fluid-structure interactions in complex biological systems. He is affiliated with the Center for Computational Science (CCS) at Tulane and Xavier Universities, and contributes to initiatives promoting diversity in STEM through organizations like SACNAS. His work bridges applied mathematics and biological applications, with over 50 peer-reviewed publications since 1995. Education: Ph.D., Applied Mathematics, UC Berkeley, 1995 B.S., Mechanical Engineering, Arizona State University, 1988 B.S., Mathematics, Arizona State University, 1986 Research Interests: Computational Fluid Dynamics Numerical Methods for Partial Differential Equations Biological Fluid Dynamics Immersed Boundary Methods Stokes Flow Simulation His research combines mathematical rigor with applications in physiology, such as modeling kidney mechanics and microorganism swimming. Recent work includes studies on choanoflagellate hydrodynamics and regularization techniques for viscous flow simulations. Grants & Collaborations: Developed the Method of Regularized Stokeslets, widely used in biofluids Contributions to SACNAS and STEM diversity initiatives Collaborations on glomerular mechanics modeling with biomedical researchers Labs & Affiliations: Center for Computational Science (CCS), Tulane/Xavier Universities Society for Advancement of Chicanos/Hispanics and Native Americans in Science (SACNAS)

• Mathematical Biology
• Computational Fluid Dynamics
• Scientific Computing
• +۵ مورد دیگر

Sarah D. Olson is the William Steur Professor and Department Head of the Worcester Polytechnic Institute (WPI) Department of Mathematical Sciences, with joint appointments in Bioinformatics & Computational Biology and Biomedical Engineering. She holds a BA from Providence College (2003), an MS from the University of Rhode Island (2005), and a PhD from North Carolina State University (2008). BA, Providence College (2003) MS, University of Rhode Island (2005) PhD, North Carolina State University (2008) Dr. Olson’s research focuses on mathematical biology , particularly computational biofluids and scientific computing . Her work explores micro-swimmer models , centrosome movement in mitosis , and agent-based models in heterogeneous environments . She develops methodologies for Bayesian parameter estimation and hydrodynamic interaction analysis , with applications to sperm motility , cell division , and biomedical micro-swimmers . Her recent 15 articles (2011–2023) span topics including centrosome clustering , Brinkman fluid dynamics , flagellar waveforms , and viscoelastic micro-swimmers . These studies employ regularized Stokeslets , Bayesian uncertainty quantification , and agent-based simulations to advance understanding of biological fluid-structure interactions and parameter estimation in biological systems . Dr. Olson collaborates with institutions such as Brown University’s Center for Computation and Visualization , supported by NSF grants (DMS-1455270, DMS-1521266, DMS-1552903). Her work bridges applied mathematics , biophysics , and computational biology .

Shan Zhongمشاهده پروفایل

استاد

• Flow Control
• Aerodynamics
• Fluid Mechanics
• +۴ مورد دیگر

Shan Zhong is a Professor in the School of Mechanical, Aerospace and Civil Engineering at The University of Manchester. She holds a BEng and MEng from Tsinghua University and a PhD from the University of Cambridge. As the Head of the Aerodynamics Research Group, her work focuses on experimental fluid mechanics, flow control, and biofluid dynamics. Her research spans aerodynamics, turbulence, and low-Reynolds-number propulsion, aiming to enhance aerodynamic efficiency in turbomachinery and transportation systems. Supported by grants from EPSRC, Royal Society, and industry partners like Airbus and BAE Systems, her contributions include over 140 publications and the supervision of 23 PhD students. Research interests include boundary layer transition, flow separation control, fluid mixing enhancement, and bio-inspired surface patterns. Prof. Zhong is a Fellow of the Royal Aeronautical Society and leads the Laser Processing Research Centre. Her work aligns with UN Sustainable Development Goals related to clean energy and industrial innovation. Education: BEng/MEng (Tsinghua University), PhD (University of Cambridge) Affiliations: Aerodynamics Research Group, Laser Processing Research Centre Grants: EPSRC, Royal Society, Leverhulme Trust, Airbus, BAE Systems Her research employs advanced techniques like PIV and synthetic jet actuators to study complex fluid phenomena. Current projects explore flow control strategies for reducing drag and improving propulsion efficiency in aerospace and land-based systems.

• Mathematical Biology
• Computational Fluid Dynamics
• Scientific Computing
• +۳ مورد دیگر

Sarah D. Olson is the William Steur Professor and Department Head of Mathematical Sciences at Worcester Polytechnic Institute (WPI). She holds joint appointments in Bioinformatics and Computational Biology and Biomedical Engineering. Her research focuses on Mathematical Biology, Computational Fluid Dynamics, Scientific Computing, and Tissue Engineering. She teaches applied mathematics, scientific computing, and modeling courses at WPI. Education: B.A., Providence College, 2003 M.S., University of Rhode Island, 2005 Ph.D., North Carolina State University, 2008 Research Interests: Mathematical modeling of biological systems Fluid-structure interactions in biofluids Agent-based models for cell dynamics Cartilage regeneration and tissue engineering Swimming dynamics of microorganisms Parameter estimation in biological systems Her work combines mathematical modeling, numerical simulations, and experimental data to understand complex biological processes such as cell movement, mitosis, and tissue repair. Professional Highlights: Interim Head of Mathematical Sciences at WPI (2021) Recipient of a grant to develop computational models for cell division Promoted to Full Professor and Department Head Current Projects: Micro-swimmer models in biofluids Centrosome movement mechanisms during mitosis Agent-based models in heterogeneous environments Parameter estimation frameworks in biological systems Labs/Teams: Leads a research group focused on computational biology and biofluid dynamics, collaborating with experimentalists to bridge theory and application in biological systems.

Sarah Olsonمشاهده پروفایل

استاد

• Mathematical Biology
• Computational Biofluids
• Scientific Computing
• +۴ مورد دیگر

Sarah D. Olson is Professor and William Steur Professor & Department Head of Mathematical Sciences at Worcester Polytechnic Institute (WPI), with joint appointments in Bioinformatics & Computational Biology and Biomedical Engineering. As the first woman to lead the Mathematical Sciences department in WPI's 156-year history, she focuses on teaching foundational mathematics while advancing computational methods and interdisciplinary research. Research Interests: Mathematical Biology, Computational Biofluids, Scientific Computing, and Biophysics Awards: NSF CAREER Award (2015), Fulbright Faculty Scholar Award (2018) Education: BA in Mathematics (Providence College, 2003), MS in Applied Mathematics (University of Rhode Island, 2005), PhD in Applied Mathematics (North Carolina State University, 2008) Her work bridges mathematical modeling with biological applications, particularly in cellular motility and reproductive biology. She emphasizes nurturing junior faculty and enhancing WPI's culture of diversity through programs like the STEM Faculty Launch Workshop. Olson serves as a mentor for Major Qualifying Project teams, PhD students, and postdocs. Scientific Contributions: Developed computational frameworks for micro-swimmers and regularized Stokeslets with error analysis Explored cortical dynein's role in centrosome clustering and spindle dynamics Created hybrid models for cartilage regeneration and environmental coupling Advanced Bayesian uncertainty quantification methods for biofluid simulations Her research has been supported by NIH funding for cancer-related computational modeling and NSF grants. Olson's recent publications demonstrate expertise in fluid-structure interactions, cell dynamics, and numerical methods.

Shravan Veerapaneniمشاهده پروفایل

استاد

• Scientific computing
• Fast algorithms
• Potential theory
• +۱۰ مورد دیگر

Shravan Veerapaneni is a Professor in the Department of Mathematics at the University of Michigan, within the College of Literature, Science, and the Arts. His research focuses on developing large-scale computational tools for solving differential and integral equations on complex moving geometries that arise in engineering and biophysics. His work spans multiple interdisciplinary areas connecting mathematics, computational science, and applied physics. Education: B.S. from Indian Institute of Technology (2003), Ph.D. from University of Pennsylvania (2008) Previous Position: Research Scientist at Courant Institute of Mathematical Sciences (NYU), 2008-2011 Teaching: Courses include Math 671, Math 371 (Numerical Methods for Engineers), and Math 156 (Applied Honors Calculus II) Professor Veerapaneni's research interests encompass scientific computing, fast algorithms, potential theory, complex fluids, microfluidics, soft-matter, and biomechanics. His core application areas include biomembrane mechanics, blood flow modeling, cilia-driven flows, and microfluidic-chip design. More recently, he has expanded his research to include scalable solvers and machine learning techniques for autonomous vehicle mobility in off-road settings. His work demonstrates a strong emphasis on developing high-order accurate numerical methods with practical applications in biomedical engineering and fluid dynamics. His publications reveal a consistent focus on boundary integral methods, Stokes flow simulations, and optimization problems in complex geometries. The research shows progression from fundamental mathematical methods to increasingly complex applications in biophysics and engineering. His work on vesicle dynamics, microswimmers, and particulate suspensions demonstrates expertise in computational fluid dynamics at microscales. NSF CAREER Award (2015) for project 'Fast Algorithms for Particulate Flows' Professor Veerapaneni has developed computational frameworks for simulating complex fluid-structure interactions, with applications ranging from biological systems (vesicles, cilia) to engineering problems (microfluidic chips, autonomous vehicles). His group has produced significant software contributions including visualization tools for fluid dynamics simulations, as evidenced by the animations of vesicle flows on his website. His collaborative work spans mathematics, engineering, and computer science departments, reflecting the interdisciplinary nature of his research.