جست‌وجوی استاد و پژوهشگر

Amr Dodinمشاهده پروفایل

استادیار

• Chemical Reactions at Liquid Interfaces
• Biological Control of Photosynthesis
• Noisy Quantum Devices
• +۹ مورد دیگر

Amr Dodin is an Assistant Professor in the Department of Chemistry at Ohio State University, where he leads research at the intersection of theoretical chemistry, quantum physics, and computational modeling. His work combines statistical mechanics, machine learning, and quantum dynamics to address complex problems in chemical reactivity, biological energy regulation, and quantum device design. He received his BSc and MSc in Chemical Physics and Theoretical Chemistry from the University of Toronto, followed by a PhD in Theoretical Chemistry at MIT under Adam Willard. He later pursued postdoctoral research at UC Berkeley and Lawrence Berkeley National Lab with Phillip Geissler and David Limmer. Research Focus 1: Chemical Reactions at Liquid Interfaces – developing computational tools like neural network potentials to study accelerated reactivity at electrochemical and atmospheric interfaces. Research Focus 2: Biological Control of Photosynthesis – modeling multi-scale dynamics of nonphotochemical quenching and biophysics of homeostasis. Research Focus 3: Noisy Quantum Devices – leveraging noise-induced coherences for robust quantum computing and deriving thermodynamic limits for quantum information systems. The 15 most recent publications highlight his expertise in interfacial chemistry, nonequilibrium quantum dynamics, and machine learning applications in molecular simulations. His work spans diverse areas including atmospheric aerosol reactions, photosynthetic energy regulation, and quantum thermodynamics. The Dodin group actively develops thermodynamically consistent multiscale models and machine learning-powered simulations to tackle challenges in nanoscale energy transport, quantum device stability, and environmental chemistry.

Triantafyllou Savvasمشاهده پروفایل

استادیار

• Computational Mechanics
• Structural Engineering
• Fracture Mechanics
• +۵ مورد دیگر

Triantafyllou Savvas serves as an Assistant Professor in the Department of Structural Engineering at the School of Civil Engineering, National Technical University of Athens (NTUA), with his faculty appointment documented since October 2020. His academic work is centered within one of Greece's premier engineering institutions, contributing to both advanced structural analysis education and cutting-edge computational research. Professor Savvas's research program focuses on computational structural mechanics with emphasis on developing advanced numerical methods for complex engineering challenges. His expertise spans material point methods for contact and fracture problems, wave-structure interaction phenomena (particularly for dams and flexible structures), vibroacoustics in porous media, and the mechanical behavior of textile reinforced mortar (TRM) systems for masonry strengthening. His work bridges theoretical computational advances with practical applications in infrastructure resilience against extreme events like tsunamis and earthquakes. Analysis of his recent publications (2021-2025) reveals a cohesive research trajectory centered on computational innovation: he has pioneered high-fidelity material point formulations for contact mechanics, developed multiscale virtual element methods for poroelastic media, established empirical models for TRM-masonry interfaces, and explored machine learning integration in topology optimization. His work consistently addresses critical gaps in simulating dynamic structural failures and wave impacts. Scientific Awards: No scientific awards were documented in the provided source materials. Advising and Grants: While the source materials do not specify current students or grant awards, Professor Savvas's extensive publication record across high-impact journals indicates active graduate research supervision and likely involvement in competitive research funding. His collaborative work with institutions like NTUA's Department of Structural Engineering suggests participation in national and international research consortia focused on computational mechanics and structural safety.

Jamal Fajouiمشاهده پروفایل

دانشیار

• Mechanical Behavior of Heterogeneous Materials
• Residual Stress Analysis
• Composite Materials
• +۵ مورد دیگر

Jamal Fajoui is an Associate Professor at Nantes Université, affiliated with the Institute for Research in Civil and Mechanical Engineering (GeM) and leading the Physical Measurements Department at IUT de Saint-Nazaire since 2019. His research focuses on multiscale modeling of heterogeneous materials, residual stress analysis via diffraction techniques, composite durability, and phase transformations in metals like titanium and cobalt. Current roles: Department Head, International Relations Officer, Campus Life Council member Research areas: Micromechanical behavior, hygrothermal aging of bio-composites, self-consistent modeling approaches His recent work (2023-2025) examines moisture diffusion in bio-sandwich structures, directional corrosion in stainless steels, and strain-induced phase transitions in cobalt. He has supervised 9 PhD theses and currently advises one doctoral candidate. Key collaborations: GeM Institute, Frédéric Jacquemin's Lab, and institutions across France, Tunisia, Saudi Arabia, and Algeria.

Matthew Helgesonمشاهده پروفایل

استاد

• Complex Fluids
• Colloidal Science
• Polymer Science
• +۷ مورد دیگر

Matthew Helgeson is a Professor in the Department of Chemical Engineering at the University of California, Santa Barbara (UCSB) Robert Mehrabian College of Engineering. His research focuses on complex fluids, colloidal systems, and soft materials, with an emphasis on mesostructure engineering and flow-processing for applications in biotechnology and energy sustainability. BS: Chemical Engineering, Carnegie Mellon University (2004) PhD: Chemical Engineering, University of Delaware (2009) Professor Helgeson’s research investigates how mesoscale structure in colloidal and polymeric fluids governs mechanical and transport properties, leveraging experimental and theoretical tools (e.g., scattering, microrheology, rheology, statistical thermodynamics) for multi-scale characterization. His group develops in situ dynamic monitoring methods to study fluid microstructure during processing, enabling design of stimuli-responsive gels, particulates, and polymer networks. Recent publications highlight his work in polymer microstructure tuning, colloidal gel assembly, and photoresponsive surfactant systems, with applications spanning 3D bioprinting, energy conversion, and sustainable materials. His lab also pioneers high-throughput microrheology and scattering-informed modeling frameworks. Scientific Awards : Neutron Scattering Society of America Science Prize (2020); Van Ness Award Lectures at Rensselaer Polytechnic Institute (2018); Unilever Award from ACS (2016); DOE Early Career Award (2015); NSF Early Career Award (2014), among others Helgeson mentors Ph.D. students and postdoctoral researchers, including former advisees Tanvi Sheth and Scott Fenton (Ph.D. graduates) and current students Anukta Datta, Tse-Chiang Huang, and new recruits Andrea, Anoushka, and Siobhan. Collaborations with faculty like Megan Valentine advance studies in dynamic polymer networks.

• Nanoscale mechanics
• Non-equilibrium statistical physics
• Materials for water-energy nexus
• +۱۳ مورد دیگر

Gerald J. Wang is an Assistant Professor in the Civil and Environmental Engineering Department at Carnegie Mellon University's College of Engineering. He leads the M5 Lab (Mechanics of Materials via Molecular and Multiscale Methods) where his research focuses on nanoscale structural and transport phenomena using mechanics, statistical physics, and high-performance computing. Wang earned his Ph.D. in Mechanical Engineering and Computation from MIT in 2019, following an S.M. in Mechanical Engineering (2015) and B.S. in Mechanical Engineering, Mathematics & Physics from Yale University (2013). Prior to joining CMU in Fall 2019, he completed a postdoctoral position at MIT's Department of Chemical Engineering and was a U.S. Department of Energy Computational Science Graduate Fellow from 2014-2018. His research spans nanoscale mechanics, non-equilibrium statistical physics, and materials for the water-energy nexus. Wang's interdisciplinary work combines computational modeling with experimental validation to address challenges in energy, environment, and sustainability. His research portfolio includes nanophotonics, metamaterials, fluid mechanics at non-infinitesimal Reynolds numbers, and cell biology applications. Wang's scholarly output demonstrates a progression from fundamental nanofluidic phenomena to broader applications in environmental sustainability and materials science. His early work focused on theoretical aspects of fluid behavior under nanoconfinement, while more recent publications address practical applications in energy-water nexus challenges, sustainable polymers, and environmental monitoring technologies. DOE Computational Science Graduate Fellow (2014-2018) CMU Teaching Innovation Award (2024) for "Participation Shoutouts!" activity ASCE Civil Engineering Education New Faculty Excellence in Teaching Award Wimmer Faculty Fellow at Eberly Center for Teaching Excellence and Educational Innovation Wang mentors a diverse group of graduate and undergraduate students across mechanical engineering, chemical engineering, and civil engineering disciplines. His M5 Lab conducts research on nanoscale transport phenomena, liquid crystals, sustainable polymers, and urban physics. The lab has received funding from the Scott Institute for Energy Innovation and other sources supporting computational research in energy and environmental applications.

Bartosz Protasمشاهده پروفایل

استاد

• Applied Mathematics
• Computational Fluid Dynamics
• Optimization and Control Theory
• +۹ مورد دیگر

Bartosz Protas is a Professor in the Department of Mathematics and Statistics at McMaster University , where he served as Director of the School of Computational Science & Engineering (2009-2019) and currently holds the Chair of the Department. His research bridges computational fluid dynamics, optimization theory, and applied mathematics, focusing on extreme behavior in fluid models, vortex dynamics, and electrochemical systems. Research Themes: Finite-time singularity formation in Navier-Stokes/Euler equations, vortex stability analysis via shape calculus, optimal turbulence closures, electrochemical inverse problems with binder migration and dendrite growth, and Riemann-Hilbert applications in fluid mechanics. Collaborations: Kyoto University (Takashi Sakajo), University of Rouen (Ionut Danaila), University of Michigan (Charles Doering), and industrial partners like General Motors. Awards & Invitations: JSPS Visiting Fellow (2017), SHARCNET Chair (2003), and multiple visiting professorships at top European institutions. Advising: Supervised 15+ Ph.D./M.Sc. students including Diego Ayala (recipient of Canadian Applied Mathematics Society's Cecil Graham Award) and Vladislav Bukshtynov. His recent publications analyze lithium plating in batteries, singularities in 3D Euler flows, and Sobolev gradient methods for PDE optimization.

Antonio DeSimoneمشاهده پروفایل

استاد

• Mechanics of Soft Matter
• Mechanics of Biological Matter
• Liquid Crystal Elastomers
• +۱۵ مورد دیگر

Antonio DeSimone is a Professor of Structural Mechanics at the Scuola Internazionale Superiore di Studi Avanzati (SISSA) in Trieste, Italy, where he has been on faculty since 2002. He is affiliated with the SISSA mathLab and leads the SAMBA (Sensing and Moving Bio-inspired Artifacts) research group. His research spans applied mathematics, mechanics, and materials science, with a focus on multiscale modeling of soft and biological matter. He previously directed the Multiscale Phenomena in Materials group at the Max Planck Institute for Mathematics in the Sciences (1998–2003), was a researcher at Università di Roma 'Tor Vergata' (1990–1998), and held a postdoctoral position at Carnegie Mellon University (1993–1994). PhD in Mechanics, University of Minnesota, 1992 Laurea in Civil Engineering, Università di Napoli Federico II, 1987 His research interests lie at the intersection of mechanics, materials science, and applied mathematics. He investigates the mechanics of soft and biological matter , including liquid crystal elastomers , magnetic microstructures , multiscale phenomena in materials , nonlinear elasticity , plasticity , damage , and thin films . He also studies wetting of rough surfaces and cell motility . His work combines analytical techniques like gamma-convergence and variational methods with numerical simulations and experimental validation. The recent publications highlight a strong trend in modeling complex material responses across multiple scales. His work integrates applied mathematics , materials science , and computational mechanics to understand phenomena such as magnetic domain formation, wetting hysteresis, and the mechanical behavior of nematic elastomers. These studies often employ homogenization , energy relaxation , and finite element methods to derive effective models from microscale physics. His scientific recognition includes: ERC Advanced Grant 340685 MicroMotility He advises students and researchers through his leadership of the mathLab and SAMBA groups, and has secured competitive funding such as the ERC grant. His teaching includes courses on variational methods, finite element methods, and the mechanics of biological systems, indicating an active role in graduate education and scientific computing. He leads two research labs at SISSA: SISSA mathLab : focused on mathematical modeling and simulation in mechanics SAMBA : dedicated to bio-inspired sensing and locomotion systems

Manolis Veveakisمشاهده پروفایل

استاد

• Geomechanics
• Theoretical Mechanics
• Irreversible Thermodynamics
• +۷ مورد دیگر

Manolis Veveakis is a Professor at Duke University's Pratt School of Engineering (Department of Civil and Environmental Engineering), where he directs the Multiphysics Geomechanics Lab (MGLab) . He holds a Diploma (BSc+MEng) in Applied Mathematics and Physics, an MSc in Applied Mechanics, and a PhD in Geomechanics from the National Technical University of Athens, Greece. His research integrates theoretical mechanics, irreversible thermodynamics, and multiphysics modeling to study: Landslide dynamics and early warning systems Fault friction mechanisms during seismic slip Granular material behavior under chemo-thermo-mechanical forcing Pressure solution and creep in geomaterials Machine learning applications in geomechanical inverse problems Recent publications demonstrate a strong focus on computational methods, including phase-field discrete element modeling for granular systems, data-physics fusion for landslide forecasting, and AI-enhanced analysis of slow earthquakes. Key thematic trends include multiphysical coupling, microstructural controls on macroscale behavior, and climate-geomechanics interactions. Dr. Veveakis teaches advanced courses including Continuum Mechanics, Plasticity, Bass Connections research teams, and supervises graduate research. No awards are documented in the provided materials. He leads the Multiphysics Geomechanics Lab , which develops theoretical and computational frameworks for geohazard prediction, energy systems, and material behavior under extreme conditions. Current projects include InSAR-informed landslide monitoring and chemo-mechanical modeling of fault zones.

Luc St-Pierreمشاهده پروفایل

دانشیار

• Mechanics of Materials
• Lattice Materials
• Additive Manufacturing
• +۲ مورد دیگر

Luc St-Pierre is an Associate Professor at Aalto University specializing in the mechanics of lattice materials, with research focused on designing novel materials through topology and material selection to achieve unique mechanical properties. He is affiliated with the Materials to Products research group. His research spans Mechanics of Materials , Lattice Materials , Additive Manufacturing , Composite Materials , and Fracture Mechanics , utilizing analytical, numerical, and experimental approaches to investigate mechanical behavior. Key methodologies include finite element modeling, topology optimization, and experimental characterization of architected structures. Analysis of his 2020-2025 publications reveals dominant themes in fracture mechanics of hierarchical and semi-regular lattices, computational modeling of composite structures, and optimization frameworks for 3D-printed materials. His work consistently addresses property tailoring, failure mechanisms, and manufacturing-process-property relationships in lightweight materials. Scientific awards: No awards were documented in the source materials. Advising and grants: Information regarding student supervision and research funding was not provided in the available texts. He operates within Aalto University's Materials to Products research group, which focuses on advanced material development, manufacturing innovation, and structural applications of architected materials.

• Machine Learning
• Data Mining
• Computational Material Science
• +۴ مورد دیگر

Prof. Dr. Stefan Sandfeld is the Director of the Institute for Advanced Simulation (IAS) at Forschungszentrum Jülich , leading the Materials Data Science and Informatics (IAS-9) group. His research focuses on integrating machine learning, data mining, and computational methods to address challenges in materials science, particularly in analyzing dislocation dynamics, microstructure evolution, and high-throughput microscopy data. Key areas include developing AI-driven tools for electron microscopy analysis, creating FAIR-compliant data ecosystems (e.g., Helmholtz Knowledge Graph), and advancing materials informatics for semiconductor and alloy systems. He spearheads projects like the NFDI-MatWerk consortium, aiming to standardize materials data management. His work bridges experimental and computational approaches, with applications in SiC crystal growth, dislocation modeling, and defect characterization. Recent contributions include self-supervised learning frameworks for microscopy images and ontology-based systems for dislocation data (DISO). His research also explores generative models for accelerated materials design and data-driven approaches for microstructure-property relationships. Scientific highlights include: High-throughput analysis of in-situ TEM experiments for dislocation dynamics. FAIR data ecosystems via semantic web technologies (e.g., Helmholtz Knowledge Graph). Machine learning for nanoindentation analysis and 4H-SiC wafer defect detection. He collaborates with Helmholtz institutes and industry partners, driving digitalization in materials science through interdisciplinary initiatives. His lab focuses on advancing AI tools for material discovery, process optimization, and understanding multiscale material behavior.

• Electrohydrodynamics
• Nanomaterials
• Sensors and Actuators
• +۳ مورد دیگر

A/Pr Canh-Dung Tran is an Associate Professor in Mechanical and Mechatronic Engineering at the University of Southern Queensland (USQ). He holds a PhD from USQ, an MEng from HoChiMinhUT, and a PGDipEngProc from Haute Alsace. His research focuses on electrohydrodynamics, nanomaterials, sensor technology, and computational modeling. Key contributions include innovations in self-powered sensors, electrohydrodynamic systems for drug delivery, and advanced materials for wearable electronics. Tran is affiliated with the Centre for Future Materials and the Institute for Advanced Engineering and Space Sciences. His work bridges theoretical computational methods with practical applications in healthcare, robotics, and aerospace. Notable achievements include developing carbon nanotube-based flexible electronics and ion-wind propulsion systems. His research trends emphasize interdisciplinary approaches, combining fluid dynamics with material science to create novel sensor systems and energy-efficient devices. Recent studies explore light-harvesting sensors and electrohydrodynamic nebulizers for medical use. He actively contributes to numerical methods for complex fluid simulations and multiscale modeling of polymer systems. Affiliations include leadership roles in advanced materials research centers, driving innovation in sustainable technologies and smart materials. Ongoing projects focus on expanding applications of nanomaterials in wearable health monitoring and aerospace propulsion systems.

Adam Printzمشاهده پروفایل

استادیار

• Perovskite solar cells
• Flexible and stretchable electronics
• Renewable energy
• +۵ مورد دیگر

Adam Printz serves as Assistant Professor of Chemical and Environmental Engineering and Materials Science and Engineering at the University of Arizona's College of Engineering. His research focuses on developing mechanically robust, printable electronic materials for renewable energy applications, particularly addressing stability challenges in perovskite photovoltaics. Education: PhD in NanoEngineering, University of California, San Diego MS in NanoEngineering, University of California, San Diego Professor Printz's research group pioneers materials design strategies for soft electronics, specializing in chemical and physical interactions at interfaces of metal halide perovskites. His work combines benchtop and computational experiments to solve mechanical and chemical instabilities in perovskite-based devices through molecular interactions, scalable printing techniques, and nanocompositing approaches. Current research emphasizes thermomechanical stability across multiple length scales and development of multifunctional reinforcement strategies. Scientific Recognition: NSF CAREER Award recipient DOE Early Career Award recipient Chancellor's Dissertation Medal from UC San Diego Distinguished Young Scholar Seminar Series Speaker, University of Washington His group receives substantial funding from the National Science Foundation and Department of Energy. Professor Printz actively mentors graduate students through directed research courses and doctoral dissertation supervision, while teaching core chemical engineering courses including Heat Transfer, Polymer Science, and senior capstone design. His laboratory develops novel characterization techniques for mechanical properties of semiconducting polymers and perovskite films, with strong industry partnerships for technology translation.

• Additive Manufacturing
• 3D Printing
• Digital Construction
• +۳ مورد دیگر

Dr. Asif Ur Rehman is a Research Fellow at The Bartlett School of Sustainable Construction , University College London (UCL). His work focuses on Low Carbon Additive Manufacturing (AM) in construction and advanced materials processing. Research Fellow, UCL KTP Associate, Low Carbon Additive Manufacturing in Construction Email: asif.rehman@ucl.ac.uk His research interests include: Additive Manufacturing 3D Printing Digital Construction Metals Ceramics Machine Learning His publications highlight advancements in metal and ceramic AM (e.g., Ti6Al4V, Inconel-625, Al2O3), process modeling (CFD, DEM, FEM), and sustainable construction technologies . Recent work explores cryogenic material behavior, defect quantification, and machine learning-driven printability maps. He serves on editorial boards for Advanced Manufacturing: Polymer & Composites Science (Youth Editorial Board, 2025) and Discover Materials (2025). His research aligns with Sustainable Development Goals 9 (Industry, Innovation), 11 (Sustainable Cities), and 13 (Climate Action).

Giacomo Poمشاهده پروفایل

دانشیار

• Computational Materials Science
• Dislocation Dynamics
• Irradiation Effects
• +۳ مورد دیگر

Giacomo Po is an Associate Professor in the Department of Mechanical & Aerospace Engineering at the University of Miami's College of Engineering. His research focuses on computational materials science, particularly dislocation dynamics, irradiation effects, and multiscale modeling. Research Interests: Dr. Po develops advanced models for material deformation under extreme conditions, including neutron irradiation in fusion reactors and dislocation behavior in anisotropic crystals. His work integrates molecular dynamics, finite element analysis, and machine learning techniques. Key Publications: Recent studies include dislocation mobility modeling in BCC metals, irradiation growth in zirconium alloys, and thermally activated deformation mechanisms in tungsten micropillars. These projects demonstrate his expertise in bridging atomic-scale simulations with continuum-level predictions. Labs & Collaborations: He collaborates with institutions on radiation damage modeling, utilizing tools like MoDELib for dislocation dynamics and Code_Aster for finite element analysis. His research group contributes to understanding materials in fusion reactor environments.

• Computational Mechanics
• High-Performance Computing
• Nanomechanics
• +۳ مورد دیگر

LU Chun serves as Chair Professor in the Department of Mechanics and Aerospace Engineering at Southern University of Science and Technology's College of Engineering. Previously, he held leadership roles as Director of International Sector at King Abdullah University of Science and Technology (2008-2015) and Senior Research Fellow/Director of Research Department at Singapore High-performance Computing Research Institute (1997-2008). His academic foundation includes: Doctorate in Mechanical Engineering, National University of Singapore (1991-1994) Master's in Mechanics Engineering, Beijing Institute of Technology (1984-1987) Bachelor's in Mechanics, Peking University (1980-1984) Professor LU's research integrates Computational Mechanics , High-Performance Computing , and Nanomechanics to solve complex problems in biomedical engineering and advanced materials. His pioneering work on nonlocal elasticity models enables accurate simulation of nanoscale phenomena, while his biomechanics research directly impacts vascular stent design and flexible electronics development. Current investigations focus on multiscale modeling techniques bridging quantum effects to macroscopic behavior in nanomaterial systems. His publication trajectory (2006-2010) demonstrates consistent innovation across interdisciplinary boundaries, with significant contributions to Science , Nano Letters , and specialized mechanics journals. Key thematic evolution shows progression from fundamental nanomechanics (2006-2007) to applied biomedical solutions (2010), reflecting strategic integration of computational methods with practical engineering challenges. Major recognitions include: Firefly Leadership Development Scholarship (Singapore Ministry of Trade and Industry) Golden Prize for High-Performance Computing (Singapore) Golden Prize at CAD Symposium (Australia) Professor LU's leadership extends beyond research through international collaboration initiatives established during his KAUST tenure. While specific grant details aren't provided, his award portfolio indicates sustained funding for high-impact computational research projects. His laboratory work focuses on computational simulation environments for nanomechanical systems, utilizing high-performance computing resources to model carbon nanotube behavior and biomedical device interactions without physical prototyping constraints.