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Terry Jo LeitermanView profile

Associate Professor

• Applied Mathematics
• Fluid Dynamics
• Mathematical Modeling
• +3 more

Terry Jo Leiterman is an Associate Professor of Mathematics at St. Norbert College. She holds a B.S. from the University of Wisconsin-Oshkosh and a Ph.D. from the University of North Carolina. Her research focuses on applied mathematics with emphasis on fluid dynamics, mathematical modeling in biomedical contexts (e.g., Virtual Lung Project), and population dynamics. She directs the SNC Fluid Mechanics Laboratory and established the Poss-Wroble Summer Undergraduate Fellowship in Mathematics, supporting student research leading to national presentations. Education: B.S., University of Wisconsin-Oshkosh Ph.D., University of North Carolina Research Interests: Dr. Leiterman investigates fluid dynamics phenomena at micro- and macro-scales, including cilia motion modeling and applications to Cystic Fibrosis therapies. She also develops mathematical frameworks for phytoplankton population dynamics and fluid-structure interactions. Her work bridges theoretical models with experimental validation in collaborative environments. Awards: Recognized as a Project NExT Fellow (2006) by the Mathematical Association of America. Advising & Grants: Spearheaded the SNC summer undergraduate research program since 2008, fostering over 40 student presentations at national conferences. Created the Poss-Wroble Fellowship supporting full-time summer research culminating in MathFest presentations. Labs & Teams: Leads the SNC Fluid Mechanics Laboratory in the Gehl-Mulva Science Center, focusing on experimental fluid dynamics and computational modeling.

Senja BarthelView profile

Assistant Professor

• Geometric topology
• Mathematical chemistry
• Spatial graphs
• +5 more

Dr. Senja Barthel is an Assistant Professor at the Department of Mathematics, Faculty of Science, Vrije Universiteit Amsterdam. Her research bridges geometric topology and mathematical chemistry, focusing on spatial graphs and their applications in materials science. She is affiliated with the Center for Topology and Applications Amsterdam, Amsterdam Sustainability Institute, and NWO DIAMANT cluster. Current projects include Topology of molecular braids (NWO M1 grant), geometrical analysis for mass transport, and contributions to the NWA Emergence Consortium (WP4.3 and WP4.4). Research interests: entanglements in spatial graphs, embeddings in surfaces, pore geometry in materials, energy landscapes, crystal net topologies, and topological data analysis for molecular modeling. Teaching includes Linear Algebra, Differential Topology, and Calculus at BSc levels, with supervision of BSc and PhD projects. Her recent publications analyze ion diffusion in solids, thermal transport in ZIFs, and topological descriptors for crystal networks, reflecting interdisciplinary work combining mathematics, chemistry, and computational methods. Collaborators include Magnus Botnan (Dutch Applied Topology days) and Amber Mace (Uppsala Universitet).

Tim SpencerView profile

Research Fellow

• Fluid Dynamics
• Liquid Crystal Modelling
• Microfluidics
• +5 more

Tim Spencer is a Research Fellow at the Materials and Fluid Flow Modelling Group within Sheffield Hallam University . His work focuses on applying theoretical and computational methods to model complex fluid systems, with expertise in the lattice Boltzmann method , finite differencing , and high performance computing . His research spans diverse applications in liquid crystals , biological flows , and microfluidics . His educational background includes a PhD (2005) and MSci (2002) in Engineering Physics from Sheffield Hallam University, where he received the Jeremy Laskowski Award and Mössbauer Award . He has supervised K. Burgin in their doctoral thesis on lattice-Boltzmann models for food rheology and collaborated with institutions like CNR Rome and University of Manchester . Recent publications highlight his work on non-Newtonian particle transport (2019), multicomponent lattice Boltzmann models (2017), and anisotropic medium optical nonlinearities (2017). These studies intersect computational physics , biomedical engineering , and materials science , emphasizing multi-scale modeling , fluid dynamics , and numerical methods . Scientific awards include: Jeremy Laskowski Award Mössbauer Award His research projects have involved consultancy for Seiko Epson Corporation and ZBD Displays Ltd. , modeling liquid crystal devices , and developing microfluidic systems for monodisperse drop formation. Collaborations extend to CNR Rome (hemodynamic flows) and University of Manchester (cell seeding in bioreactors).

David R SalemView profile

Professor

• Polymers
• Composites
• Nanocomposites
• +3 more

Dr. David R Salem is a Professor at the South Dakota School of Mines and Technology with joint appointments in the Department of Materials and Metallurgical Engineering, Karen M. Swindler Department of Chemical and Biological Engineering, and Department of Nanoscience and Biomedical Engineering. He serves as Director of the Composites and Polymer Engineering Laboratory (CAPE) and the Composite and Nanocomposite Advanced Manufacturing Center (CNAM Center), which he joined in 2010. Education: B.S. from University of Bradford, U.K. Ph.D. from University of Manchester, U.K. His research focuses on process-structure property relationships in polymers, composites, and nanocomposites. Key areas include multiscale reinforcement of polymers, strain-induced molecular ordering, advanced composite manufacturing, lightweight impact-resistant composites, self-assembled nanocomposites, energy-absorbing materials, polymer flexoelectricity for energy storage, micro/nano-channeled composites, and microbial polymers. His recent publications demonstrate strong focus on sustainable materials development, including biopolymer production, biomass conversion, nanocomposite synthesis, and machine learning applications in materials science. Research trends show increasing emphasis on green manufacturing techniques, bio-based materials, and energy storage solutions. Dr. Salem's work involves significant industry collaboration through contracts, consortia, and government partnerships, including technology transfer activities. He leads the CAPE Lab and CNAM Center, focusing on scale-up and industrial applications of composite materials.

Ami E. RadunskayaView profile

Professor

• Dynamical Systems
• Stochastic Processes
• Mathematical Modeling of Tumor Growth and Treatment
• +3 more

Ami E. Radunskaya is the Lingurn H. Burkhead Professor of Mathematics at Pomona College, part of The Claremont Colleges. She specializes in dynamical systems, stochastic processes, and mathematical modeling with applications to tumor growth, power systems, and musical instrument design. Her work bridges pure mathematics and real-world problems in medicine and engineering. She is a leader in promoting diversity in mathematics through her roles as President of the EDGE Foundation and former President of the Association for Women in Mathematics (AWM). Radunskaya earned her PhD from Stanford University and a BA from UC Berkeley. She teaches courses in calculus, differential equations, and probability. Her research focuses on applying mathematical models to understand complex biological and physical systems, including cancer treatment dynamics and power grid stability. Research Highlights: Developed models for tumor-immune interactions and drug release kinetics in pharmaceutical systems Conducted pioneering work on non-linear power system stability using dynamical systems theory Advances in stochastic processes applied to biomedical and engineering contexts Awards & Recognition: Fellow of the American Mathematical Society (2017) Pomona College Wig Distinguished Professor Award (2012) Stanford University Alfred Gores Award for Teaching Excellence (1991) As co-director of the EDGE program, she has mentored hundreds of women mathematicians, particularly from underrepresented groups, supporting their academic and professional development. Her leadership in AWM emphasizes building inclusive communities across mathematical disciplines.

Ronaldo BorjaView profile

Professor

• Computational Mechanics
• Geomechanics
• Geosciences
• +3 more

Ronaldo Borja is a Professor of Civil and Environmental Engineering at Stanford University, affiliated with the School of Engineering. He holds editorial roles at Acta Geotechnica and the International Journal for Numerical and Analytical Methods in Geomechanics . His research focuses on computational mechanics, geomechanics, and geosciences, particularly in strain localization, coupled hydromechanical processes, and finite element modeling of geological materials. He earned his PhD from Stanford University in 1984. Education: PhD, Stanford University (1984). Research interests include: computational poromechanics, shale mechanics, fluid-structure interaction, and anisotropic plasticity. He has authored textbooks such as Plasticity Modeling & Computation (Springer, 2013) and edited volumes on multiscale geomechanics. His work bridges microscale characterization (e.g., nanoindentation of shale) with macroscale phenomena like landslide dynamics and fault rupture modeling. Key awards include the 2016 ASCE Maurice A. Biot Medal. He teaches courses like CEE 101C (Geotechnical Engineering), CEE 281 (Finite Elements), and advanced doctoral courses in computational plasticity. Lab activities include projects on shale deformation, pore-scale modeling, and multiphase poromechanics. His research emphasizes multiscale approaches, combining experimental data with numerical simulations to address challenges in energy and geohazard mitigation.

Edward H AdelsonView profile

Professor

• Vision Science
• Computer Vision
• Robotics
• +4 more

Edward H Adelson is the John and Dorothy Wilson Professor of Vision Science at MIT's Department of Brain and Cognitive Sciences, and an investigator at CSAIL. His research spans human and machine vision, computational photography, and tactile sensing for robotics. He is renowned for contributions to multiscale image processing (Laplacian pyramids), motion energy models, and the plenoptic function. His lab pioneers tactile sensors like GelSight, enabling robots to perceive texture, force, and 3D geometry with human-like sensitivity. Adelson holds a Ph.D. and has over 100 publications. His work on layered motion representation won the Longuet-Higgins Award (2005), and his neural motion studies received the Rank Prize (1992). He is a member of the National Academy of Sciences (2007) and American Academy of Arts & Sciences (2010). Current projects focus on soft tactile fingers for robotics using elastomeric materials, integrating vision-based sensing with compliant mechanics. His innovations have applications in medical devices, dexterous manipulation, and human-robot interaction.

Hua YangView profile

Adjunct Professor

• Computational Materials Science
• Multiscale Modeling
• Crystalline Defects
• +3 more

Hua Yang is an Adjunct Professor in the Department of Chemistry at the University of British Columbia (UBC) within the Faculty of Science. Their research focuses on computational materials science, particularly in multiscale modeling of crystalline defects, machine-learned potentials, and nonlinear elasticity. Yang's work bridges atomistic simulations with continuum mechanics, addressing challenges in defect dynamics and material behavior. They are affiliated with UBC's Department of Chemistry and collaborate with TRIUMF, as indicated by their email address. Recent research emphasizes adaptive algorithms, error estimation in multiscale methods, and coarse-grained molecular dynamics. Key contributions include MeshAC, a 3D mesh generation package for multiscale simulations, and foundational studies on phase field crystal modeling for dislocation simulations. Their work spans computational chemistry, solid-state physics, and numerical analysis. Research interests integrate both traditional noble gas chemistry and modern computational approaches, reflecting interdisciplinary expertise. Publications from 2023-2025 highlight advancements in QM/MM coupling, machine-learned potential generalization, and efficient dislocation modeling. Yang’s methodologies prioritize adaptive error control and algorithmic efficiency in complex materials systems.

Rohini Bala ChandranView profile

Assistant Professor

• Thermal Sciences
• Fluid Sciences
• Multiscale Computational Model Development
• +7 more

Rohini Bala Chandran is an Assistant Professor in the Department of Mechanical Engineering at the University of Michigan , affiliated with the TREE Lab. Her research bridges thermal and fluid sciences with multiscale computational modeling, radiative heat transfer, and semiconductor physics. Ph.D., Mechanical Engineering, University of Minnesota, Twin Cities (2015) M.S., Mechanical Engineering, University of Minnesota, Twin Cities (2010) B.S., Mechanical Engineering, BITS-Pilani (2008) Her work focuses on advancing solar energy systems through predictive models and experimental studies, particularly in sunlight-driven hydrogen production and nitrate wastewater treatment . She explores radiative heat transfer in reactive media and electrochemical engineering for sustainable energy applications. Recent publications, including a high-impact paper in Energy and Environmental Science , highlight her contributions to integrated modeling frameworks and radiative transport understanding. Her research aligns with energy sustainability goals, such as reducing solar thermal plant costs. 2023 ASME Bergles-Rohsenow Young Investigator Award in Heat Transfer 2022 NSF Career Award for radiative transport research 2021 $3.4M funding for solar thermal materials 2020 MCubed-funded project on solar-powered wastewater treatment She has secured grants for interdisciplinary projects combining materials science, catalysis, and physics-based modeling. Her lab (TREE Lab) emphasizes flexible and creative approaches to research challenges in thermal and energy systems.

Jacinto UlloaView profile

Assistant Professor

• Computational mechanics
• Solid mechanics
• Micromechanics
• +15 more

Jacinto Ulloa is an Assistant Professor in the Department of Mechanical Engineering at the University of Michigan's College of Engineering, leading the Ulloa Research Group since joining as new faculty in January 2025. His research encompasses computational mechanics, solid mechanics, micromechanics, metamaterials, disordered/granular media, data-driven computing, variational methods, homogenization, multiscale analysis, generalized continua, inelasticity, material failure, and multi-physics systems. The group develops mathematical and computational frameworks to model complex material behavior in (poly-)crystalline materials, biomaterials, and granular media by incorporating microstructural information and leveraging multi-scale analysis, with applications spanning structural mechanics, material design, geomechanics, biomechanics, and energy systems. The Ulloa Research Group (Mechanics of Solids and Material Systems) pioneers parameter-free continuum modeling through homogenization and data-driven computing techniques to predict material deformation, flow, and failure under mechanical and multi-physics external actions across diverse spatial and temporal scales.

• Fluid Dynamics
• Turbulence Modeling
• Heat Transfer
• +6 more

Konstantina Vogiatzaki is an Associate Professor of Engineering Science and Tutorial Fellow at Somerville College, University of Oxford. She leads research in multiscale computational modeling for fluid dynamics, phase change, turbulence, and heat transfer, with applications in energy systems, propulsion, and carbon capture. Her work combines analytical methods, supercomputing datasets, and machine learning to develop high-fidelity models for complex systems like gas turbines, injection devices, and human organs. Education: BSc in Applied Mathematics from National Technical University of Athens; PhD in Combustion Modeling from Imperial College London. Postdoctoral and research roles at Imperial College London, MIT, and multiple UK institutions. Research focuses on sustainable energy solutions, including cryogenic fluid dynamics, turbulent combustion, and multiphase flow modeling. Collaborates with industries to optimize environmentally responsible energy systems. Awards include the Bernard Lewis Fellowship (2010) and Hinshelwood Prize (2016). Advancing numerical methods for CFD simulations, including LES/Eulerian-Lagrangian frameworks and machine learning integration. Active in professional organizations such as the Combustion Institute and Institute of Physics.

Ravindra DudduView profile

Associate Professor

• Computational Solid Mechanics
• Multi-scale Fracture Mechanics
• Computational Geophysics
• +5 more

Dr. Ravindra Duddu is an Associate Professor of Civil and Environmental Engineering and Mechanical Engineering, and an Assistant Professor of Earth & Environmental Sciences at Vanderbilt University's School of Engineering. He joined Vanderbilt in 2012 after postdoctoral research at Columbia University and the University of Texas at Austin. His research focuses on computational solid mechanics, multi-scale/multi-physics fracture mechanics, and constitutive modeling. He develops advanced numerical methods like phase-field fracture models, extended finite element methods, and parallel computing frameworks to study ice mechanics, material degradation, and geophysical processes. Education: Ph.D. in Civil Engineering, Northwestern University M.S. in Civil Engineering, Northwestern University B.Tech. in Civil Engineering, Indian Institute of Technology Madras Research Interests: Dr. Duddu’s work bridges computational mechanics and geoscience, with emphases on: (1) multi-scale modeling of quasi-brittle materials (e.g., ice, ceramics) under thermal-mechanical stresses; (2) microstructure evolution in superalloys for aerospace applications; and (3) computational glaciology, including ice shelf calving and hydraulic fracture. His methods leverage C++, FORTRAN, and commercial FEA tools like ABAQUS. Key Projects: ADVISER: Cloud-based simulation environment for geoscience Phase-field modeling of ice cliff stability and supraglacial lake drainage CNN-based surrogate models for composite material optimization Grants & Outreach: Recipient of NSF CAREER Award (2019) for ice shelf modeling and educational outreach. Active in interdisciplinary initiatives like CryoCommunity, promoting equity/diversity in polar sciences.

Christian R. WickView profile

Researcher

• Multiscale Modelling
• Computational Mechanochemistry
• Catalysis
• +3 more

Dr. Christian R. Wick is a Principal Investigator and Coordinator of the EAM Unit Computational Advanced Materials and Processes (CAMP) at Friedrich-Alexander-University Erlangen-Nürnberg. He holds a Dr. rer. nat. in theoretical physics and focuses on multiscale modeling of materials, particularly in mechanochemistry, catalysis, and polymer networks. His research integrates computational methods like molecular dynamics and DFT to study reaction mechanisms in materials science and enzymology. He completed his education at FAU with a B.Sc. (2009), M.Sc. (2011), and Ph.D. (2015) in Molecular Science and Theoretical Physics. His work bridges theory and experiment, addressing challenges in low-temperature catalysis (e.g., water-gas shift reactions) and functional materials design. Notable contributions include advancements in SILP catalysts, epoxy resin modeling, and mechanochemical reactivity prediction. Wick has been recognized with the Lecture Award at the 28th Molecular Modelling Workshop (2014). His research outputs span over 28 publications, with key topics including ionic liquid behavior, polymer cross-linking dynamics, and computational enzyme modeling. He collaborates widely, contributing to projects like the GRK 2423 FRASCAL initiative on fracture mechanics across scales. Wick’s interdisciplinary approach involves teams in materials science, catalysis, and computational physics, with ongoing projects on advanced polymer materials, mechanochemical reaction engineering, and enzyme activity modeling. His lab (CAMP) emphasizes innovative methodologies for simulating complex material behaviors under mechanical and thermal stresses.

Steven A. FrankView profile

Professor

• Evolutionary Biology
• Cancer Research
• Genetics
• +5 more

Steven A. Frank is the Donald Bren Professor and UCI Distinguished Professor at the University of California, Irvine. His research integrates evolutionary theory with cancer biology, genetics, and systems biology. Frank's work focuses on understanding how evolutionary principles shape biological systems, particularly in cancer development, regulatory networks, and microbial ecology. He has authored influential books including Dynamics of Cancer and Foundations of Social Evolution . Research Interests: Evolutionary mechanisms in cancer and aging Regulatory networks and robustness Genomic conflict and cooperation Evolutionary dynamics of microbial communities Publications highlight innovative approaches such as applying control theory to biological systems and bridging evolutionary theory with machine learning. Frank's work emphasizes interdisciplinary methods to address questions in oncology, genetics, and ecology.

• Energy Storage
• Materials Science
• Electrochemistry
• +5 more

Dr. Y. Shirley Meng is a Zable Chair Professor in Energy Technologies and Professor of NanoEngineering at UC San Diego. She leads the Laboratory for Energy Storage and Conversion (LESC), focused on developing advanced materials for electrochemical energy storage, including batteries and solar cells. Her research integrates experimental techniques with computational modeling to innovate in solid-state batteries, sodium-ion batteries, and magnetic materials. Dr. Meng founded the Sustainable Power and Energy Center (SPEC), fostering interdisciplinary energy solutions. Education: PhD in Advanced Materials for Micro & Nano Systems (Singapore-MIT Alliance, 2005). Postdoctoral research at MIT. Elected Fellow of the Electrochemical Society. Research interests span energy storage technologies, materials science, and sustainable energy systems. Key projects include high-voltage cathodes, solid electrolytes, and scalable battery designs. Recent breakthroughs include carbon-free silicon anodes and pressure-controlled lithium metal batteries. Over 190 peer-reviewed publications, patents, and prestigious awards reflect her global impact. Current research teams include postdocs, graduate students (e.g., Thomas Wynn, Haelie Chung), and collaborators worldwide. Active in industry partnerships and policy initiatives for clean energy.