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Sarah CannonView profile

Associate Professor

• Theoretical Computer Science
• Randomized Algorithms
• Markov Chains
• +8 more

Sarah Cannon is an Associate Professor in the Department of Mathematical Sciences at Claremont McKenna College (CMC), part of the Claremont Colleges consortium in Claremont, CA. Her research focuses on theoretical computer science, randomized algorithms, and Markov chains applied to problems in discrete geometry and statistical physics, with significant work on the mathematics of political redistricting. She holds an NSF CAREER Grant and has led projects supported by the Haynes Foundation and the Simons Institute. Education: Ph.D. in Algorithms, Combinatorics, and Optimization (Georgia Tech, 2018) M.Sc. in Mathematics and Foundations of Computer Science (University of Oxford, 2013) B.A. in Mathematics (Tufts University, 2012) Research Interests: Dr. Cannon’s work bridges theoretical computer science and applied mathematics, emphasizing algorithmic fairness, sampling methods for complex systems, and applications to social policy. Key areas include redistricting reform, emergent phenomena in programmable matter, and phase transitions in combinatorial structures. Grants & Awards: NSF CAREER Grant (2025): Focuses on sampling algorithms for graph structures. NSF Postdoctoral Fellowship (2018–2019): Conducted research at UC Berkeley. Clare Boothe Luce Fellowship (Ph.D. support). Teaching & Advising: Teaches courses on redistricting mathematics, data science, and discrete mathematics. Supervises interdisciplinary student research on redistricting, graph algorithms, and Markov chain analysis. Notable student projects include studies on LA city council representation and Arizona gerrymandering. Professional Engagement: Serves as Secretary of the SIAM Activity Group on Discrete Mathematics. Active in the Voting Rights Data Institute and the Simons Institute’s Algorithms, Fairness, and Equity program. Frequently speaks at conferences like STOC and MSRI.

• 3D Image Processing
• Industrial Process Control
• X-ray Tomography
• +2 more

Laurent Babout is a Research Professor at Lodz University of Technology's Institute of Applied Informatics, within the Faculty of Electrical Engineering, Electronics, Computer Science and Automation. His research bridges 3D imaging and industrial applications. Primary research interests include X-ray tomography for material damage analysis, 3D image processing for industrial control systems, and development of process tomography sensors. He co-led European grants DENIDIA (FP6) and TOMOCON (H2020) focused on tomography advancements. Teaching includes IT courses in Computer Science and Human-Computer Interaction programs, utilizing flipped education methods like problem-based learning and POGIL. Recent publications demonstrate strong focus on multiphase flow analysis (72%) and industrial tomography applications (68%), with 40% involving AI/ML methods for image processing. Research frequently addresses granular material dynamics and real-time process control.

Matthias KraumeView profile

Professor

• CFD simulation
• Transport phenomena
• Membrane bioreactors
• +5 more

Prof. Matthias Kraume is a Professor at the Technical University of Berlin (TU Berlin), affiliated with Faculty III - Process Sciences and the Institute of Process Engineering , specifically leading the FG Verfahrenstechnik research group. His research focuses on CFD simulation, multiphase processes, membrane bioreactors, and reactor design, with contributions to the Collaborative Research Centre InPROMPT (2009). He served as a former member of the UniCat Executive Board (2012–2017), contributing to Research Fields D1/D2 (2012–2017) and C2/C3/C4 (2007–2011). His work spans projects like multiphase processes, biological systems, and renewable resources optimization. Notably, he coordinated the InPROMPT project on integrated fluid multiphase systems. Publications emphasize CFD-DEM coupling, reactor optimization, and biocatalyst screening. His group’s work has been recognized through awards for students like Gregor Wehinger, who became a junior professor under his mentorship. Kraume’s team collaborates on energy-efficient biogas systems, viscoelastic fluid dynamics, and automated process control in stirred reactors. Current research includes advanced CFD modeling for fluidized beds, bioreactor design, and sustainable process intensification. He oversees lab activities at TU Berlin’s FG Verfahrenstechnik , with affiliations to industry partnerships for biogas and catalytic technologies.

Saleema PandaView profile

Professor

• Nonlinear Finite Element Analysis
• Structural Engineering
• Granular Flow Dynamics
• +3 more

Saleema Panda is a Professor in the Department of Civil Engineering & Construction at Atlantic Technological University (ATU) Sligo, Ireland. She specializes in structural dynamics, nonlinear finite element analysis, granular flow mechanics, and earthquake engineering. Her work bridges computational methods with practical applications in resilient infrastructure design and material science. Education: PhD in Nonlinear Finite Element Analysis (National Institute of Technology Rourkela, 2019). She has authored over 13 peer-reviewed articles addressing topics such as seismic resilience, granular segregation control, and advanced finite element methodologies. Research interests focus on: (1) Dynamic behavior of stiffened plates under extreme loads (2) Granular flow dynamics in industrial systems (3) Soft computing techniques for seismic prediction (4) Sustainable materials innovation. Notable contributions include hybrid TMD-TLD systems for MDOF structures and recycled plastic-based acoustic materials. Collaboration highlights include granular flow studies with experts like D.S. Tan, and structural dynamics research with A. Pandit and others. Active in PhD supervision and has contributed to 49 citations with an h-index of 49. Labs/Teams: Engaged in computational mechanics and granular materials research groups at ATU Sligo.

Rémi DingrevilleView profile

Adjunct Assistant Professor

• Materials Science
• Mechanics of Materials
• Computational Materials Science
• +6 more

Rémi Dingreville is an Adjunct Assistant Professor at the Woodruff School of Mechanical Engineering, Georgia Institute of Technology, and is based at Sandia National Laboratories. His research focuses on the mechanical behavior and aging of materials under extreme environments, including irradiation and high strain rates. He specializes in computational materials science, combining molecular dynamics, cluster dynamics, and phase-field methods to study defect mechanisms and interface engineering. Education: Ph.D. in Mechanical Engineering (Georgia Tech, 2007), M.S. in Materials Science (Université de Rennes, 2001), and B.S. in Mechanical Engineering (École Nationale Supérieure des Techniques Avancées, 2001). Research emphasizes designing materials with enhanced performance through interface engineering, particularly in nanocrystalline systems and advanced alloys. Key areas include radiation damage, hydrogen effects, and materials aging under extreme conditions. Distinctions: International visiting scholar fellowships (CNRS, 2017 and 2015) Sandia SPOT Awards (2017, 2009) ASME and TMS awards for leadership and innovation Advising/Grants: Collaborates on interdisciplinary projects at Sandia, focusing on materials for energy and defense applications. Extensive grants include DOE and DOD funding (details not explicitly listed). Active in developing computational models integrated with experimental data, such as the X-LPR fracture criterion and multiscale simulations of radiation effects. Collaborates with national labs and academic institutions globally.

ANA MARIA BERNABEU TELLOView profile

Professor

• Coastal Morphodynamics
• Sediment Transport Dynamics
• Marine Geology
• +3 more

Ana María Bernabéu Tello is a full-time Professor at the University of Vigo, affiliated with the Faculty of Marine Sciences and the Department of Marine Geosciences and Spatial Planning. She holds a PhD from the University of Cantabria (2000) with research focused on beach profile modeling. Her primary affiliation is with the CIM-UVigo research center and the XM2 Marine and Environmental Geology group. Her research interests center on coastal morphodynamics, sediment transport processes, and environmental management of marine systems. Key projects include studies on Ría de Arousa and Ría de Vigo ecosystems, with a focus on sediment dynamics, oil spill bioremediation, and the application of geophysical techniques like XRD and DGPS mapping. She has pioneered work on fluorescent tracer tracking for sediment dispersion analysis and developed mathematical models for oil degradation assessment. Recent publications (2022–2024) reveal a strong emphasis on: • Quantitative analysis of intertidal shellfish sandbanks • Wave-dominated sediment transport experiments • Bioremediation strategies for oil-polluted beaches • Hydrodynamic modeling of ría environments Her work integrates field observations, laboratory experiments, and numerical modeling to address coastal challenges in the Galicia-Northern Portugal Euroregion. No specific awards are listed, but her contributions are reflected in extensive collaborative research outputs and participation in initiatives like the RAIA observatory.

Harald ÖzeltView profile

Researcher

• Magnetism
• Micromagnetics
• Machine Learning
• +4 more

Harald Özelt is a Researcher at the Center for Modelling and Simulation within the University for Continuing Education Krems. His work focuses on computational magnet design, micromagnetics, and machine learning applications in materials science. He leads projects such as 'Data Driven Magnet Design through Combinatorial Synthesis and Micromagnetic Graph Networks' (FWF-funded) and 'Design of Nanocomposite Magnets by Machine Learning' (FWF-funded). His research emphasizes the development of advanced simulation techniques and optimization strategies for magnetic materials, particularly permanent magnets and composite systems. Key Projects: Magnetic Multiscale Modelling Suite (EU-funded, PI: Thomas Schrefl) Data Driven Magnet Design (FWF-funded, PI: Özelt) Design of Nanocomposite Magnets (FWF-funded, PI: Özelt) Özelt's research interests include the simulation of magnetic materials' microstructure-property relationships, defect manipulation for enhanced coercivity, and the integration of physics-informed machine learning into computational frameworks. He has authored numerous peer-reviewed articles in journals like Journal of Magnetism and Magnetic Materials and Frontiers in Materials , focusing on topics such as micromagnetic modeling, hysteresis optimization, and magnet design. His lectures and conference presentations highlight contributions to inverse design methodologies, multiscaling strategies in magnet design, and the use of neural networks for predicting magnetic properties. He collaborates internationally on projects addressing sustainable materials and rare-earth reduction in permanent magnets.

• Defects and deformation in disordered solids and glasses
• Surface tension and mechanical properties in embryonic tissues
• Mitotic waves and pattern formation in biological tissues
• +5 more

M. Lisa Manning is the William R. Kenan, Jr. Professor of Physics at Syracuse University, with affiliations in Biology, Biophysical Science, and Biotechnology. She leads the Manning Research Group, focusing on theoretical and computational approaches to understanding collective behavior in biological tissues and disordered solids, using tools from statistical and soft matter physics. Her work emphasizes emergent phenomena in non-equilibrium systems through experimental collaborations globally. Research Interests: Defects in disordered solids/glasses Surface tension in embryonic tissues Mitotic wave dynamics Constitutive models for friction/shear Recent Scientific Contributions: 2025 PNAS paper on dynamical forces in zebrafish organ morphogenesis 2024 PRX Life study on vertex model universality 2024 Nature Cell Biology work on mechanical forces in tissue architecture Honors: APS Fellow (2021) Chancellor’s Citation for Excellence (2022) Simons Investigator (2016-2022) Grants: NSF NRT-URoL grant (2024-2029) NICHD R01 grant (2020-2025) Simons Foundation awards Leadership: Director, BioInspired Institute (2019-2023) Chair, Physics Department Chair Search Committee (2024) Co-lead, Mechanisms of Development and Disease Focus Group Her group develops computational models for biological tissues and disordered materials, working closely with experimentalists. Recent work explores how vertex models predict tissue rigidity despite oversimplified assumptions, and how dynamical forces shape developing organs.

Colm P. KelleherView profile

Assistant Professor

• Biophysics
• Materials Physics
• Soft Matter Physics
• +3 more

Colm P. Kelleher is an Assistant Professor in the Department of Physics at Syracuse University’s College of Arts and Sciences. He is a biophysicist specializing in applying materials science and soft matter physics to cellular and embryonic systems. Education: Ph.D., Physics, New York University (2017) M.Sc., Physics, New York University (2014) B.Sc., Mathematics & Physics, University College Cork (2008) His research explores the physical principles governing cellular structures, particularly in mammalian oocytes and early embryos. He integrates non-invasive imaging, biomolecular tools, and physics-based modeling to study phenomena like chromosome segregation and spindle mechanics. His recent publications focus on microtubule organization, embryo feature quantification via AI, and colloidal phase behavior. These works span biophysics, soft matter physics, and materials science. Scientific Awards: White Prize for Excellence in Teaching, Harvard University (2020) He actively contributes to academic service, including undergraduate curriculum development, poster judging, and peer review for Physical Review Letters . He co-founded the science communication platform Softbites (2017–2021) and engages in K–12 outreach through Biobus (2010–present).

Randy O WayneView profile

Associate Professor

• Biophysics of plant cell biology
• Theoretical physics
• Quantum electrodynamic theories
• +3 more

Randy O Wayne is an Associate Professor in the Plant Biology Section of Cornell University’s School of Integrative Plant Science. His research focuses on reinterpreting fundamental physical theories (e.g., special relativity, quantum electrodynamics) through a biophysical lens, particularly exploring photon properties and their implications for cosmology. He holds a Ph.D. from the University of Massachusetts (1985), an M.S. from UCLA (1979), and a B.A./B.S. from the University of Massachusetts (1977). His teaching emphasizes interdisciplinary connections between light, life, and physics, including courses like Light and Life , Plant Cell Biology , and Light and Video Microscopy . These courses integrate optics, microscopy, and cellular physiology to foster critical thinking about biological systems. Wayne’s lab, the Laboratory of Natural Philosophy, investigates neglected dimensions in biophysics, such as the interface between macroscopic and microscopic physics. Key research themes include challenging orthodox interpretations of photons, proposing a binary photon model to explain light properties, and exploring gravitational dynamics through matter-antimatter segregation. His work bridges biology and physics, addressing topics like radiation friction, dark energy, and thermodynamic asymmetries. Wayne has published extensively in journals like The African Review of Physics and Turkish Journal of Physics , with a focus on heuristic models and theoretical critiques. His educational philosophy integrates scientific inquiry with ethical reflection, teaching students to connect biological principles to human experience. Collaborations with Allan Witztum on plant biomechanics and fern spore germination further demonstrate his interdisciplinary approach.

• Granular Materials
• Fluidization
• Particle Technology
• +3 more

Jens Patrick Metzger is a researcher in the Institute of Energy and Process Engineering at ETH Zurich, focusing on granular material phenomena such as fluidization and segregation. He has a background in Process Engineering and experimental research experience in particle resuspension via gas jets. Education: Bachelor in Process Engineering, Baden-Wuerttemberg Cooperative State University Mosbach (2016) Master of Science, University of Stuttgart (2019), specializing in particle resuspension via impinging gas jets His work involves both experimental and simulative approaches to granular systems, with prior industrial experience at AZO (Germany) improving solid material handling technologies.

Daan VorselenView profile

Assistant Professor

• Immunology
• Biophysics
• Cellular Biology
• +5 more

Dr. Daan Vorselen is an Assistant Professor in the Department of Cell Biology and Immunology at Wageningen University & Research. He holds an interdisciplinary background in biology (Leiden University) and biophysics (Vrije Universiteit Amsterdam), with postdoctoral training at Stanford University and the University of Washington. His research focuses on the role of physical forces in immune cell dynamics, particularly in phagocytosis and efferocytosis. Key methodologies include deformable microspheres for force sensing and advanced microscopy techniques. Current projects explore mechanobiology approaches, phagocytic cup shaping, and molecular regulation of cellular cleanup processes in diseases like cancer and neurodegeneration. Education: Bachelor/Master in Biology, Leiden University PhD in Biophysics, Vrije Universiteit Amsterdam Postdoctoral Research: Stanford University and University of Washington with Julie Theriot Research Interests: His work combines biophysical techniques with molecular biology to study how mechanical forces influence immune cell behavior. Central themes include: Mechanical regulation of phagocytosis and efferocytosis Role of physical forces in immune response evasion by cancer cells Development of tools like hydrogel microspheres for force measurement Genome-wide screens to identify phagocytosis regulators Scientific Contributions: Recipient of CRI Irvington Fellowship (postdoc) Recent grants: NWO-M1 and VLAG awards for immune-mechanical studies Collaborations with institutions like the Morgan Huse lab and Michael Bassik lab Lab Activities: The Vorselen Lab actively mentors MSc students and PhD candidates, focusing on interdisciplinary training. Current opportunities include funded PhD positions in immune mechanobiology and phagocytosis dynamics. The lab also engages in international conferences and hosts visiting researchers.

Matthias SchröterView profile

Adjunct Associate Professor

• Granular Physics
• Statistical Mechanics
• Materials Science
• +3 more

Dr. Matthias Schröter is an Adjunct Associate Professor at Duke Kunshan University and a consultant at Hypatia - Science Consulting. His research focuses on granular physics, statistical mechanics, and imaging techniques, with emphasis on granular packing structures, fluid dynamics, and material characterization. He holds a habilitation (postdoctoral qualification) and has conducted postdoctoral research from 2015-2018. His work spans experimental and theoretical studies, including analysis of granular shear bands, X-ray tomography of particle systems, and neutron tomography for porous media. He has contributed to understanding contact networks in frictional ellipsoid packs and coarsening mechanisms in granular mixtures. His expertise includes advanced imaging methods such as superresolution microscopy and neutron tomography. Research interests include granular matter dynamics, phase transitions in granular systems, and structural analysis of amorphous materials. His publications frequently address experimental methodologies for granular media characterization and fluid dynamics in porous systems. He has advised on projects involving granular segregation, fluid flow in porous media, and thermal characterization of granular systems. His consulting work bridges academic research with industrial applications in materials science and imaging technology.

• Building Drainage Systems
• Fluid Dynamics
• Environmental Engineering
• +3 more

Dr. David Kelly is an Associate Professor at Heriot-Watt University, affiliated with the School of Energy, Geoscience, Infrastructure and Society and the Institute for Sustainable Building Design. His research focuses on building drainage systems, fluid dynamics, and sustainable infrastructure, with contributions to UN Sustainable Development Goals related to clean water and climate action. He oversees key facilities like the Drainage Test Rig and Siphonic Rainwater Collection System, advancing experimental studies in urban drainage and fluid mechanics. Research interests include defect detection in drainage systems, aerosol transmission via plumbing, and climate-resilient infrastructure design. Recent work emphasizes tall building drainage modeling, bioaerosol dynamics, and mitigating pathogen spread through sanitary systems. His studies bridge theoretical fluid mechanics with practical urban challenges, addressing both technical and public health dimensions. Publications highlight innovative approaches to drainage system validation and blockage detection, alongside critical reviews of two-phase flow research. Collaborations span academic and industry partners, emphasizing applied solutions for sustainable urban development. Equipment management roles underscore his hands-on engagement with infrastructure testing and validation.

Gregory Joseph HerschlagView profile

Research Professor

• Redistricting
• Computational Fluid Dynamics
• High Performance Computing
• +4 more

Gregory Joseph Herschlag is an Associate Research Professor of Mathematics at Duke University, affiliated with the Trinity College of Arts & Sciences and the Rhodes Information Initiative. He holds a Ph.D. in Mathematics from the University of North Carolina, Chapel Hill (2013). His research focuses on developing algorithms to detect gerrymandering, high-performance computing techniques, and computational fluid dynamics. Notable projects include quantifying fairness in redistricting and analyzing GPU performance in complex simulations. Teaching includes courses such as Probability (MATH/STA 230/730), Differential Equations (MATH 353/753), and Data Science capstone projects (IDS/STA 798). He mentors students on topics like segregated school systems, Bayesian inference in education metrics, and racially polarized voting analysis. His work has been featured in media outlets, including articles on algorithmic fairness in redistricting and computational methods to audit districting plans. He co-developed Markov chain Monte Carlo algorithms for redistricting sampling and contributed to studies on GPU optimization for lattice Boltzmann methods. Research Themes: Redistricting algorithms, high-performance computing, lattice Boltzmann methods, fairness in political districting. Key Collaborations: Campaign Legal Center, Duke Mathematics Department, Information Initiative at Duke.