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Vatsal SanjayView profile

Assistant Professor

• Soft Matter Singularities
• Viscous Free-Surface Flows
• Non-Newtonian Fluids
• +3 more

Dr. Vatsal Sanjay is an Assistant Professor at the Department of Physics , Durham University. He leads the Computational Multiphase Physics (CoMPhy) Lab, focusing on fundamental fluid dynamics research with applications in energy, manufacturing, and natural systems. Education: PhD in Physics (University of Twente, 2022) Research Areas: Soft Matter Singularities, Non-Newtonian Flows, Viscous Free-Surface Flows His work explores topological transitions in fluid systems through continuum simulations , collaborative experiments , and theoretical analysis , addressing phenomena like droplet impact , bubble bursting , and sheet fragmentation . Recent studies span microgravity fluid mechanics , viscoelastic jet formation , and mycofluidic transport in fungal networks. Articles reveal interdisciplinary trends combining fluid dynamics , materials science , and applied physics , with subfields spanning from Worthington jet dynamics to yield-stress fluid rupture . His Ammodo Science Fellowship enables research into fungal internal transport systems , bridging physics and biology. Supervision: Mentors PGR student Sam Walker Labs: Founder of CoMPhy Lab (moving to Durham in 2025) Open Science: Advocates code sharing and transparent research practices

• Computational Mechanics
• Offshore Geotechnics
• Finite-Deformation Mechanics
• +5 more

Professor William Coombs is a Professor in the Department of Engineering at Durham University. He holds a first-class MEng in Civil Engineering (Durham University, 2008) and a PhD in Engineering (Durham University, 2011). His core research focuses on computational mechanics, particularly material constitutive models, finite-deformation mechanics, non-linear finite elements, and the Material Point Method (MPM). He leads projects in offshore geotechnical engineering for renewable energy applications, including cable burial and braced excavations. His work emphasizes open-source tools like the AMPLE MPM code. Grants & Collaborations: EPSRC-funded project EP/W000970/1 (Offshore Cable Burial Depth Analysis) EPSRC project EP/X024849/1 (Braced Excavation Modeling) Leadership in the Aura CDT for Offshore Wind Energy, training 130+ PhD students. Research Interests: Elasto-plasticity and fracture mechanics Non-mesh-based methods (MPM, DG-FEM) Offshore geotechnics and wind energy infrastructure Ice fracture and calving processes Students & Supervision: Supervises research on MPM applications, offshore socio-ecological systems, glacier modeling, and composite material optimization. Accepts new PhD students in aligned fields. Labs & Teams: Leads the Computational Mechanics Research Node within Durham's Engineering Department, fostering collaborations on numerical methods and industrial applications.

• Civil Engineering
• Materials Science
• Mechanical Engineering
• +7 more

Reijo Kouhia is a Professor of Civil Engineering at Linköping University. His research focuses on computational mechanics, fatigue analysis, and material modeling. He has contributed significantly to the development of continuum-based fatigue models, anisotropic material behavior, and finite element methods applied to structural and material analysis. Key research areas include high-cycle fatigue of metals, concrete fracture mechanics, magneto-mechanical systems, and functionally graded materials. His work integrates experimental and numerical approaches to address challenges in civil, mechanical, and materials engineering. Recent publications highlight advancements in mesoscale concrete fracture models under dynamic loading, mechanical analysis of HTS tapes, and vibration analysis of complex structures. Collaborations span international institutions, focusing on sustainable materials and energy systems. Dr. Kouhia actively participates in academic activities, including editorial roles, conference presentations, and peer review. His contributions bridge theoretical and applied mechanics, emphasizing practical engineering solutions.

Bryan P. ActonView profile

Assistant Professor

• Leadership emergence
• Leadership identity
• Agent-based modeling & simulation
• +3 more

Bryan P. Acton is an Assistant Professor of Organizational Behavior and Leadership at Binghamton University's School of Management. His research focuses on leadership dynamics in collectives, leveraging cutting-edge methodologies like agent-based modeling to explore how leadership emerges and evolves. He holds a strong interest in leadership identity, perception measurement, and the intersection of social processes with organizational behavior. Acton's teaching interests include business statistics, teams and leadership, and R programming for modeling. His work emphasizes dynamic processes and challenges traditional static views of leadership roles. His research has explored topics such as leader identity fluidity, memory systems in leadership measurement, and team composition impacts on cohesion. He advocates for process-oriented frameworks that integrate multilevel dynamics and computational modeling. No scientific awards or grants are explicitly listed in the provided materials. His CV indicates ongoing research in leadership emergence and collective dynamics but provides no details about advising students or lab affiliations.

Michael CromerView profile

Associate Professor

• Fluid Dynamics
• Rheology
• Mathematical Modeling
• +7 more

Michael Cromer is an Associate Professor in the School of Mathematics and Statistics at Rochester Institute of Technology (RIT), within the College of Science. He holds a B.S. in Mathematics from York College of Pennsylvania (2005), and a Ph.D. and M.S. in Applied Mathematics from the University of Delaware (2011). His postdoctoral research included roles at the University of California, Santa Barbara (2011–2013) and the National Institute of Standards and Technology (2013–2014). His research focuses on the modeling, analysis, and simulation of complex fluids, including wormlike micellar solutions, polymer solutions, and colloidal dispersions, with applications in oil recovery, soft body armor, and materials processing. His work has been supported by NASA and the American Chemical Society. He teaches courses such as Calculus I, Differential Equations, and Undergraduate Research in Mathematical Sciences. Key research interests include fluid dynamics, rheology, mathematical modeling, partial differential equations, and numerical methods. Notable achievements include the University Dissertation Fellowship and a National Research Council Research Associateship. His studies explore phenomena like shear thinning, elastic instabilities, and concentration fluctuations in complex flows. His advising and grants highlight collaborations in interdisciplinary research, particularly in polymer and colloidal systems. He is actively involved in mentoring undergraduate and graduate students through capstone projects and research initiatives.

Joel KoplikView profile

Professor

• Fluid Dynamics
• Colloid Science
• Molecular Dynamics Simulation
• +3 more

Joel Koplik is a Professor of Physics at the City College of New York (CCNY), affiliated with the Levich Institute. His research focuses on fluid dynamics, colloid science, and molecular dynamics simulations, particularly investigating interfacial phenomena, nanoparticle behavior, and thermocapillary migration. Recent work explores active colloids, Janus motors, and self-propulsion mechanisms at fluid interfaces. Key research areas include the dynamics of droplets under electric fields, surfactant effects on interfacial deformation, and the hydrodynamic interactions of colloids in confined geometries. His studies often bridge nanoscale and macroscopic fluid behaviors, with applications in materials science and nanotechnology. Publications highlight advancements in understanding capillary bridges, thermocapillary migration in particle-laden systems, and the design of self-propelled nanomotors. Collaborative projects, such as the 2007 proposal on nanoparticle separation using patterned surfaces, underscore his interest in experimental and computational fluid dynamics. Awards and grants are not explicitly listed, but his extensive publication record reflects sustained contributions to interdisciplinary fluid mechanics and soft matter physics.

Lara MartiniView profile

Lecturer

• Atomic Physics
• Molecular Physics
• Photonics
• +2 more

Lara Martini is a Lecturer at the University of Southern California and previously at UCLA, specializing in atomic and molecular physics. She holds a Ph.D. in Physics from Universidad Nacional de Rosario (2021) and a B.S. from the same institution (2016). Her academic appointments include positions at Universidad Católica Argentina and Universidad Nacional de Rosario as Head of Practical Assignments, along with research roles at Consejo Nacional de Investigaciones Científicas y Técnicas and Universidad Autónoma de Madrid. Her research focuses on quantum dynamics in atomic systems, particularly polarization control in photoionization processes using attosecond laser techniques. Key interests include Fano resonances, time-delay measurements, and interference phenomena in molecular ionization. Publications demonstrate consistent focus on laser-matter interactions, with theoretical modeling of quantum interference effects dominating recent work. Research employs analytical and computational methods to study electron dynamics in atoms and molecules under polarized light excitation.

• Continuum Mechanics
• Industrial Mathematics
• Mathematical Modelling
• +6 more

Neville Fowkes is an Honorary Research Fellow at the School of Physics, Maths and Computing (Computer Science and Software Engineering Department) at The University of Western Australia. He holds a BSc and PhD from Queensland University of Technology. His research focuses on applying mathematical modelling to industrial and scientific continuum mechanics problems, with over 30 participations in international Maths in Industry Study Groups (MISGs) across countries like Indonesia, Laos, Portugal, and South Africa. Education: BSc (Qld), PhD (Qld) Research interests include crack propagation, mining tunnel collapse, concrete behavior models, ship mooring systems, groundwater flow, microwave propagation, enzyme kinetics, cancer research, and boundary tracing techniques. He has authored a widely-used textbook on industrial mathematical modelling. Notable collaborations include projects with BHP, DuPont, and Unilever, supported by grants from Fundação para a Ciência e a Tecnologia (Portugal), ARC, and others. He contributes to UN Sustainable Development Goals through industrial problem-solving initiatives. He has advised on 2 grants including 'Modelling Temperature Variations in Stationary Vehicles with Forensic Applications' (2004-2005) and 'Improved Elastomer Model for Resources Industry' (2010-2011). His consultancy includes work on laser tracker calibration and mine safety barrier design. Fowkes has established industrial mathematics programs in Laos, Portugal, Indonesia, and Thailand, and runs graduate workshops globally. He actively participates in international education initiatives, including the AIMS Postgraduate Program in Africa.

Vicki GrassianView profile

Professor

• Atmospheric Chemistry
• Marine Chemistry
• Climate Sciences
• +3 more

Prof. Vicki Grassian is a Distinguished Professor at the University of California, San Diego (UC San Diego), holding joint appointments in the Departments of Chemistry & Biochemistry, Nanoengineering, and the Scripps Institution of Oceanography. She serves as Co-Director of the Center for Aerosol Impacts on Climate and the Environment (CAICE). Her research focuses on molecular-scale studies of environmental interfaces, including atmospheric aerosols, aqueous microdroplets, and nanomaterials, with applications to climate science, geochemistry, and human health. Grassian's work spans heterogeneous chemistry of trace gases with mineral dust and sea spray, iron mobilization, aerosol optical properties, and nanotechnology's environmental implications. She employs advanced techniques like aerosol science, microscopy, and spectroscopy. Notable achievements include the 2025 Marsha I. Lester Award and the 2023 Geochemistry Division Medal. She advises a dynamic group of graduate students and postdocs, many of whom have received prestigious awards and fellowships. Her research highlights include studies on HONO formation from indoor surfaces, wildfire smoke interactions, and the role of marine dissolved organic matter in climate processes. Grassian collaborates widely, contributing to projects like the SeaSCAPE initiative and the CASA indoor chemistry study. Her lab also explores the impacts of engineered nanoparticles on biological systems, bridging environmental and biomedical applications.

• Multi-Physics Simulations
• Crystal Plasticity
• Materials Engineering
• +3 more

Sharan Roongta is a Researcher at the Max Planck Institute for Sustainable Materials, affiliated with the Department of Microstructure Physics and Alloy Design. His work focuses on computational materials engineering and multi-physics simulations, particularly within the DAMASK framework. He explores chemo-mechanical coupling, crystal plasticity, and machine learning applications in materials science. Research interests include developing simulation tools for advanced materials characterization, optimizing multi-physics models for real-world applications, and addressing challenges in collaborative software development. His contributions span the integration of chemo-mechanical damage modeling, machine learning-enhanced yield surface prediction, and high-performance computing strategies. Notable contributions include the DAMASK Python library for simulation processing and scalable multi-physics frameworks. His work emphasizes bridging theoretical models with practical applications in metallic systems and materials design.

Marta D'EliaView profile

Adjunct Professor

• Scientific Machine Learning
• Nonlocal Modeling
• Fractional Calculus
• +4 more

Marta D'Elia is an Adjunct Professor at Stanford's Institute for Computational and Mathematical Engineering (ICME), specializing in Scientific Machine Learning and nonlocal modeling. Her research develops data-driven algorithms for multiscale/multiphysics simulations, integrating numerical analysis, uncertainty quantification, and fractional calculus. Core applications include subsurface transport, turbulence modeling, image processing, and materials science. She leads innovations in nonlocal operator regression, physics-informed neural networks, and fractional Laplacian formulations. Current work focuses on embedded machine learning for constitutive modeling, Bayesian uncertainty frameworks, and computational homogenization. D'Elia pioneered approaches for nonlocal-to-local model coupling and fractional Helmholtz decompositions, advancing simulation capabilities for anomalous transport phenomena. Her Ph.D. in Applied Mathematics (Emory University) underpins rigorous mathematical foundations, while collaborations with national labs address high-performance computing implementations. Research contributes to open-source scientific software and computational mathematics education through ICME courses on numerical methods and machine learning.

• Neuroanatomy
• Connectomics
• Neural circuits
• +5 more

Professor Hong Wei Dong is a faculty member in the Department of Neurobiology at the David Geffen School of Medicine, University of California Los Angeles (UCLA). His research focuses on creating comprehensive connectome maps of the C57Bl/6 mouse brain to understand functional network organization and behavioral output mechanisms. He integrates Connectomics Genetics 3D high-resolution imaging Artificial intelligence to explore the fundamental architecture of the central nervous system. Key research directions include: Classification of mouse brain/spinal cord cell types through anatomic, molecular, and physiological properties Development of microscopy/histological technologies for human brain mapping at axonal resolution Application to neurodegenerative disease models (Alzheimer’s, Huntington’s) Recent publications highlight his work on: Visceromotor cortex networks High-resolution brain atlases Thalamic subnetworks Neuronal diversity analysis Advanced image processing tools Transsynaptic tracing methodologies Awardeeship highlights: Suzanne Eaton Memorial Prize Taylor M. Brown Memorial Award His lab develops scalable technologies like Gossamer for petabyte-scale image processing and Morphohub for multi-morphometry generation, while maintaining affiliations with UCLA Brain Research & Artificial Intelligence Nexus (B.R.A.I.N.) and NIH T32 training grants.

Timothy J. HealeyView profile

Professor

• Applied Mathematics
• Partial Differential Equations
• Nonlinear Elasticity
• +3 more

Timothy J. Healey is a Professor of Mathematics at Cornell University, affiliated with the College of Arts and Sciences. He holds a Ph.D. from the University of Illinois (1985). His research focuses on applied analysis, partial differential equations, and mathematical continuum mechanics, particularly in nonlinear elasticity and solid mechanics. He explores existence results, bifurcation phenomena, and computational methods, with applications to elastic structures and materials. Education: Ph.D. in Mathematics, University of Illinois (1985) Research interests include the analysis of nonlinear elasticity, wrinkling in elastic sheets, bifurcation theory, and symmetry-breaking phenomena. His work combines mechanics-based modeling, mathematical analysis, and computation to address open questions in solid mechanics. Recent articles focus on fracture mechanics, energy-minimizing configurations, and group-theoretic bifurcation analysis. Teaching includes courses such as MATH 1910 (Calculus for Engineers), MATH 3270 (Differential Equations), and advanced research supervision through MATH 4900/4901. He has contributed to numerous collaborative projects with students and co-workers, advancing understanding in complex elastic systems.

Xueyu SongView profile

Professor

• Theoretical Chemistry
• Computational Chemistry
• Electron Transfer
• +11 more

Xueyu Song is a Professor of Chemistry at Iowa State University, affiliated with the Ames Laboratory of the U.S. Department of Energy. Their research focuses on theoretical and computational tools for chemical reactions in chemical and biochemical systems. Ames Laboratory of the U.S. Department of Energy Department of Chemistry, Iowa State University Education: Postdoctoral Fellow, University of California, Berkeley (1995-1998) Ph.D., California Institute of Technology (1995) Research Interests: The group develops theories for electron transfer in solutions and inhomogeneous materials, solvent effects on chemical reactions, solvation dynamics in protein environments and ionic fluids, phase behaviors of metallic systems, nucleation kinetics, protein-protein interactions, and protein crystallization. Recent work integrates machine learning with supercooled liquids and extends the Debye-Hückel theory beyond dilute solutions. Sub-diffraction imaging using heterodyne and entangled photons is also studied. Recent Article Trends: Publications span 2019-2024, focusing on solvation dynamics in ionic fluids, nanodomain analysis via single-molecule tracking, machine learning for heterogeneities in supercooled liquids, extensions of Debye-Hückel theory, and phase behavior in metallic systems. Computational methods like density functional theory, molecular dynamics, and Bayesian inference are key tools. Contact: Email xsong@iastate.edu , Phone: 515-294-4383, Office: 303 Wilhelm, 2332 Pammel Dr, Ames, IA 50011-1025.

• Multiphase Flow in Porous Media
• Geological CO2 Storage
• Hydrogen Storage
• +3 more

Sajjad Foroughi is a Senior Postdoctoral Researcher at the Department of Earth Science & Engineering , Faculty of Engineering , Imperial College London. He is affiliated with the Imperial-Shell Digital Rocks Program , where he focuses on pore-scale and continuum-scale modeling of multiphase flow in porous media. His research addresses critical challenges in energy transition technologies, including geological CO2 storage , hydrogen storage , electrochemical devices , and subsurface energy systems . Research Focus Dr. Foroughi's work bridges fundamental physics of porous media with applied energy systems. Key research areas include: Optimization of electrochemical devices (batteries, fuel cells) Hysteresis and trapping mechanisms in hydrogen storage Ostwald ripening effects on displacement processes Multiscale modeling of capillary pressure and relative permeability Applications in carbon capture and storage (CCS) and geothermal energy Technical Expertise His methodologies combine: Micro-CT imaging for pore-scale characterization Lattice Boltzmann simulations Network modeling of heterogeneous carbonates Deep learning for uncertainty quantification Image segmentation and contact angle measurement