جست‌وجوی استاد و پژوهشگر

• Asymptotic Analysis
• Homogenization Theory
• Partial Differential Equations
• +۴ مورد دیگر

Irina Pettersson is an Associate Professor in Applied Mathematics and Statistics at Chalmers University of Technology. Her research focuses on asymptotic analysis and homogenization of differential equations, with applications in mathematical physics including electromagnetic scattering in materials with small particles and heat conduction. In classical homogenization theory, she studies mixtures of materials with different properties that have two scales: a microscopic scale describing the microstructure of heterogeneous materials and a macroscopic scale. Homogenization theory provides methods to replace heterogeneous materials with homogeneous ones, making the equations easier to solve. A well-known example is the derivation of Darcy's law from the Navier-Stokes equations for transport in porous materials. Recently, Pettersson has been particularly interested in the derivation of cable equations for nerve fibers, which involves approximating 3D models with 1D models. Her publication record shows a clear progression from traditional homogenization applications toward neuroscience-focused research, with recent papers examining nerve bundles, myelinated axons, and signal propagation in neurons. This interdisciplinary work connects mathematical theory with biological applications, demonstrating significant methodological innovation in multiscale modeling approaches. She has received research funding from STINT (The Swedish Foundation for International Cooperation in Research and Higher Education) for the project 'EINervio - Modeling of ephaptic coupling of myelinated neurons' (2020-2022), which produced multiple publications. Her collaborative work appears in top-tier journals including SIAM Journal on Mathematical Analysis and SIAM Journal of Scientific Computing, indicating strong recognition within the mathematical community. Pettersson's research program bridges theoretical mathematics with practical applications across multiple domains, demonstrating how rigorous mathematical frameworks can advance understanding of complex physical and biological phenomena. Her current work continues to expand the boundaries of homogenization theory while addressing challenging problems in neuroscience modeling.

Mario Milazzoمشاهده پروفایل

پژوهشگر

• Multiscale Modeling
• Mechanics of Acoustics
• Biomaterials
• +۴ مورد دیگر

Dr. Mario Milazzo is a researcher at the BioRobotics Institute of Sant'Anna School for Advanced Studies , with a current appointment at Massachusetts Institute of Technology (USA). His work bridges robotics, biomaterials, and computational modeling through interdisciplinary projects. He earned a PhD in BioRobotics (2016) from Sant'Anna School for Advanced Studies after completing his Mechanical Engineering degree at the University of Pisa (2010). Research Areas: Multiscale modeling, industrial robotics, biomaterials, and bioinspired design using deep learning. Industry Collaborations: Ge Oil&Gas, Brembo, Magneti Marelli, Piaggio. His recent publications highlight trends in industrial robotics (autonomous platforms, path planning, electro-hydraulic systems) and biomedical applications (bone regeneration, protein nanostructures, tympanic scaffolds). Key methodologies include sonification, molecular modeling, and AI-driven material design. Scientific Awards : Marie Skłodowska-Curie Individual Fellowships (MSCA-IF-GF) with MIT, University of Antwerp, Tufts, and University of Pisa He has co-authored 25+ international journal papers , 9 patents , and 24 conference contributions , while serving as a reviewer for 20+ journals and guest editor for Polymers (MDPI). His leadership roles in industry projects and symposium organization demonstrate his translational research focus.

Javier Llorcaمشاهده پروفایل

استاد

• Nanomechanics
• Mechanics of advanced structural materials
• Characterization of mechanical behavior under extreme conditions
• +۱ مورد دیگر

Javier Llorca is a Professor in the Department of Materials Science at the Polytechnic University of Madrid and serves as Scientific Director of the Madrid Institute for Advanced Studies of Materials (IMDEA Materials Institute) since 2017. He has held leadership roles including Director of IMDEA (2007-2017) and Head of the research group on 'Advanced Structural Materials & Nanomaterials' since 2006. His academic career spans over 35 years at the same university, transitioning from Assistant to Associate to Full Professor. BEng & MEng in Civil Engineering, Polytechnic University of Madrid (1983) PhD in Materials Science, Polytechnic University of Madrid (1986) - Award to the best PhD Thesis Llorca specializes in Nanomechanics , Mechanics of advanced structural materials , and Computational materials engineering , with a focus on characterizing material behavior under extreme conditions. His research bridges experimental and numerical approaches to develop multiscale models for metallic materials and composites. His scientific achievements have been recognized through prestigious awards, including the Career Award from SOCIEMAT (2018), Gold Medal from the Spanish Society of Structural Integrity (2000), and fellowships from the European Mechanics Society (2012). He has also held visiting professorships at Brown University, the Indian Institute of Science, and Chinese universities.

Nancy Fordeمشاهده پروفایل

استاد

• Biophysics
• Collagen Mechanics
• Molecular Motors
• +۳ مورد دیگر

Nancy Forde is a Professor and Graduate Chair in the Department of Physics at Simon Fraser University (SFU). She holds affiliations with the Departments of Chemistry and Molecular Biology & Biochemistry, and the Centre for Cell Biology, Development and Disease. Her research focuses on collagen mechanics, molecular motor design, and advanced microscopy techniques. She has been recognized for teaching excellence and graduate supervision, including awards from SFU and the Biophysical Society of Canada. Education: B.Sc. in Physics from the University of Toronto, M.Sc. and Ph.D. in Physics from the University of Chicago. Active in undergraduate education, she teaches courses like PHYS 102, 801, and 802. Her lab, Forde Lab, develops tools like AutoSmarTrace for AFM image analysis and explores synthetic protein motors. Research interests include collagen's mechanical properties at multiple scales, high-throughput single-molecule techniques (centrifuge force microscopy, magnetic tweezers), and artificial motor proteins. Recent work examines collagen's response to thermal and chemical aging, and the design of burnt-bridge ratchet systems. Over 150 peer-reviewed publications span biophysics, materials science, and synthetic biology. Awards include the Cottrell Scholar (2007-2009) and Michael Smith Foundation for Health Research Scholarships (2005-2011). Advised over 20 graduate students and postdocs, with current advisees including Alaa Al-Shaer and Janine Srocka. Collaborates internationally on projects funded by NSERC, CIHR, and the Research Corporation. Labs/Teams: Forde Lab (SFU), part of interdisciplinary networks including the Biophysical Society and the Canadian Institute for Advanced Research. Maintains equipment like atomic force microscopes and optical tweezers systems for single-molecule studies.

• Granular Mechanics
• Geomechanics
• Landslide Modeling
• +۳ مورد دیگر

Dr. Benjy Marks is a Senior Lecturer in Geomechanics at the School of Civil Engineering, University of Sydney. He holds a BEng/BSc (Hons I) and PhD in Civil Engineering. His research focuses on granular materials, including landslides, avalanches, and industrial processes, with applications in geotechnical engineering, pharmaceuticals, and construction. He leads the Immersive Learning Laboratory, integrating VR technology into engineering education. Education: BEng/BSc (Hons I), PhD in Civil Engineering (University of Sydney). Research interests include granular segregation, material behavior under stress, and computational modeling. He collaborates with international institutions like Université Grenoble Alpes and the University of Oslo. His work bridges fundamental granular physics and practical engineering solutions, such as landslide mitigation and fiber-reinforced concrete analysis. Recent articles highlight machine learning for grain classification, VR educational tools, and granular flow dynamics. Grants include studies on extreme wear of geotechnical machinery and earthquake mechanics. He supervises projects like 'Understanding the Student Response to Learning Empathy in Australian Engineering Courses.' Labs/Teams: Immersive Learning Laboratory, SciGEM, and collaborations with global partners in granular mechanics.

• Microfluidics
• Acousto-Microfluidics
• Lab-on-a-Chip Technology
• +۶ مورد دیگر

Destgeer Ghulam is a Tenure Track Assistant Professor in the Department of Electrical and Computer Engineering at Technische Universität München (TUM), leading the 'Control and Manipulation of Microscale Living Objects' research group. His work focuses on developing microfluidic 'lab-on-a-chip' platforms using MHz-frequency acoustic waves for the manipulation of cells, particles, and microorganisms, as well as pioneering 'lab-on-a-particle' technology for rapid single-cell/molecule analysis. He holds a PhD in Acousto-Microfluidics from KAIST (2018) and conducted postdoctoral research at UCLA's Di Carlo Lab. Research Interests : His research spans acoustofluidics, microscale object manipulation, and biomedical applications. Key areas include the design of amphiphilic particles for droplet templating, acoustic-based separation techniques, and miniaturized diagnostic systems. Awards : Brain Korea 21 Plus Fellow (2018), Best Paper Awards (2014–2016). Labs/Teams : Directs the TUM-based research group focused on integrating microfluidics with acoustic technologies for biomedical innovation. His publications emphasize advancements in droplet acoustofluidics, acoustic wave applications, and lab-on-a-chip systems, reflecting a strong focus on both fundamental science and translational medicine.

Erik van der Giessenمشاهده پروفایل

استاد

• Mechanical behavior at micro and nanoscales
• Biophysics
• Discrete dislocation plasticity
• +۵ مورد دیگر

Prof. Dr. Ir. Erik van der Giessen is a Professor at the University of Groningen, leading the Micromechanics group within the Zernike Institute for Advanced Materials. His research spans multiple disciplines including mechanical engineering, materials science, biophysics, and computational modeling, with a focus on mechanical behavior at micro and nanoscales. Van der Giessen's research primarily focuses on three interconnected areas: biophysics (particularly nuclear pore complex and cellular mechanics), discrete dislocation plasticity, and polymer blends and nano-composites. His work in biophysics, conducted in collaboration with the Onck group, investigates fundamental cellular processes including transport through the nuclear pore complex, cytoskeleton structure-property relations, protein aggregation in neurodegenerative diseases, and viral fusion mechanisms. His discrete dislocation plasticity research provides size-dependent descriptions of plastic deformation at microscales, studying phenomena in thin films, micro/nano pillars, surface contact and friction, and fracture processes. His polymer research examines deformation mechanisms and fracture processes in polymer composites with micrometer or nanometer fillers. A common theme across all research areas is size dependence, with the principle that "smaller is harder" in mechanical behavior at reduced scales. The group employs computational techniques including molecular dynamics, dislocation dynamics, Monte Carlo methods, and finite element methods. Recent publications (2022-2025) show continued innovation in applying machine learning to materials science, investigating nuclear transport mechanisms in neurodegenerative diseases, and advancing fundamental understanding of size effects in mechanical properties. Van der Giessen has mentored numerous PhD students who have established successful academic careers, including L. Nicola (University of Padova), S.S. Shishvan (University of Tabriz), and H. Song (Johns Hopkins University). His research has been supported by various national and international collaborations, including significant work with Harvard University researchers on thin film mechanics. The Van der Giessen group maintains strong interdisciplinary connections, creating a research environment that bridges engineering, physics, and biology. Their computational approaches have provided physical understanding for size effects observed in experiments and have generated predictive models for various mechanical phenomena at micro and nanoscales.

Yanqing Suمشاهده پروفایل

استادیار

• Multiscale Materials Modeling
• Refractory Alloys
• Radiation Damage
• +۲ مورد دیگر

Yanqing Su is an Assistant Professor in Mechanical and Aerospace Engineering at Utah State University, appointed in 2020. She holds a PhD in Geophysics from Georgia Tech (2017), an MS in Computational Science from Georgia Tech (2016), and BS/MS degrees in Space Physics from University of Science and Technology of China. Research focuses on computational materials science across scales, including machine learning for material property prediction, irradiation effects in alloys, and battery interface phenomena. Specializes in atomistic simulations and multiscale modeling. Recent publications explore diffusion in alloys, dislocation mechanics in extreme environments, and battery electrolyte interfaces. Leads the Computational Material research under Extreme Environment (CMEELab) group. Teaches numerical methods, materials science, and computational mechanics. Mentors graduate students in multiscale materials modeling and directs research on radiation-resistant alloys and energy materials.

Barbara Arnoldمشاهده پروفایل

استاد

• Coal Processing
• Mineral Engineering
• Environmental Engineering
• +۴ مورد دیگر

Barbara Arnold is a Professor Of Practice in the John and Willie Leone Department of Energy & Mineral Engineering at Pennsylvania State University. She is affiliated with the Integrated Energy Systems research theme. Her expertise spans coal processing, mineral engineering, and environmental sustainability, with a focus on critical minerals recovery from coal waste and occupational safety in mining operations. Her research interests include froth flotation technology, coal preparation plant design, dewatering processes, and the revalorization of mine tailings. She has led initiatives to address respirable coal dust toxicity and optimize critical mineral extraction from industrial waste. Notable projects include a $4.99M DOE grant to enhance domestic critical mineral supply chains and collaborative efforts to utilize coal wastes for ceramic materials. Dr. Arnold has advised on numerous grants and oversees Dr. Arnold's Group, a research team focused on sustainable mining practices. Her work has been featured in high-profile publications like Journal of Hazardous Materials and Mining, Metallurgy and Exploration . Recent contributions include analyzing quartz and pyrite in respirable coal dust and advancing multiscale flotation separation techniques. Her labs and teams emphasize interdisciplinary collaboration, bridging theory and practice in mineral processing. Upcoming projects include the 2025 North American Mine Ventilation Symposium, highlighting her role in shaping mining safety standards and innovation.

Malte Rolf-Pissarczykمشاهده پروفایل

پژوهشگر

• Biomechanics
• Biomedical Engineering
• Computational Modeling
• +۳ مورد دیگر

Malte Rolf-Pissarczyk is a Postdoctoral Researcher at the Institute of Biomechanics, Graz University of Technology, Austria. His research focuses on computational modeling of cardiovascular biomechanics, particularly aortic dissection mechanisms and fluid-structure interaction. He holds a PhD in Biomedical Engineering from TU Graz (2024), M.Sc. in Mechanical Engineering from Leibniz University Hannover (2018), and double bachelor's degrees in Plant Operation Engineering and Building Energy Engineering from Bremerhaven University of Applied Sciences (2015). Key appointments include a visiting scholar at Stanford University (2022) and UC Berkeley (2016-2017). Awards include the Best PhD Thesis in Biomedical Engineering (ÖGBMT, 2024) and scholarships from the Austrian Marshall Plan Foundation and Dr. Jürgen und Irmgard Ulderup Stiftung. His work spans biomechanical modeling, material science, and medical simulation, with contributions to understanding aortic pathology via computational and experimental methods. His research integrates Bayesian uncertainty quantification, finite element analysis, and patient-specific modeling. Current efforts emphasize mechanisms of aortic dissection progression and thrombosis dynamics. He collaborates with institutions like Stanford University and maintains an affiliate membership.

• Computer Graphics
• 3D Visualization
• Machine Learning in Graphics
• +۵ مورد دیگر

Sebastian Wohner is a researcher at the Chair of Computer Graphics and Visualization (Prof. Westermann) at the Technical University of Munich. His work focuses on advanced visualization techniques, machine learning applications in graphics, and GPU-accelerated algorithms for 3D design and simulation. He actively contributes to projects such as the NVIDIA CUDA Research Center and ERC-funded initiatives like SaferVis and realFlow, emphasizing real-time liquids and safer visualization systems. His research interests span 3D Gaussian splatting, topology optimization, neural fields for statistical dependencies, and spatio-temporal flow visualization. He has pioneered methods for compressing meteorological ensembles and accelerating novel view synthesis in consumer devices. Wohner also explores GPU-based linear algebra optimizations and efficient rendering techniques for ribbons and twisted lines. In teaching, he leads courses on game physics, visual data analytics, deep learning in computer graphics, and topology optimization. Notable contributions include the development of the Particle Engine and Bunny Demo applications, as well as advancements in differentiable rendering and robotic perception systems. His work bridges theoretical foundations with practical implementations in both academia and industry.

• Computational Mechanics
• Finite Element Method
• Structural Analysis
• +۳ مورد دیگر

Alejandro Aguirre Ruz is a researcher affiliated with the Universitat Politècnica de Catalunya (UPC), specifically within the Departament d'Enginyeria Civil i Ambiental at the Escola Tècnica Superior d'Enginyeria de Camins, Canals i Ports de Barcelona (ETSECCPB) . His work focuses on advanced computational mechanics, particularly in finite element methods for structural analysis and fluid-structure interaction problems. He is part of the research groups ANiComp - Anàlisi Numèrica i Computació Científica and (MC)² - Mecànica de Medis Continus i Computacional . His research emphasizes stabilized finite element formulations for thin structures, including solid-shell elements, Reissner-Mindlin plates, and Timoshenko beams. Key contributions include variational multiscale methods and stress-displacement analyses in both infinitesimal and finite strain regimes. He has published in high-impact journals like Applied Mathematical Modelling and Finite Elements in Analysis and Design , with recent work extending to 2025 on fluid-structure interaction applications. Aguirre Ruz defended his doctoral thesis in 2023 titled Numerical approximation of thin structures using stabilized mixed formulations... , supervised by Professors Ramon Codina and Joan Baiges. He actively collaborates with researchers such as Inocencio Castañar and Zorrilla Martínez, contributing to projects like the Anàlisi Numèrica i Computació Científica initiative funded under the Supòrt a la Recerca program. His technical expertise bridges theoretical developments in numerical methods with practical engineering applications, addressing challenges in structural dynamics and multiphysics systems.

Simon Mosbjerg Jensenمشاهده پروفایل

استادیار

• Composite Materials
• Delamination Engineering
• Crack Growth Rate
• +۴ مورد دیگر

Simon Mosbjerg Jensen is an Assistant Professor at the Department of Materials and Production, Faculty of Engineering and Science, Aalborg University, Denmark. His research focuses on composite materials, delamination mechanics, and fatigue-driven damage in wind turbine blade structures. Current projects include CIRCWIND (Circular material solutions for wind turbines, 2024–2028) and MADE4WIND (Floating wind components, 2023–2027). He specializes in Fatigue Fracture , Delamination Behavior , and Multiscale Modeling of composite structures. His recent articles (2023–2025) emphasize GFRP laminates , crack growth rate modeling , and fatigue damage simulations . Collaborative datasets and experimental validations are central to his work. He contributes to the UPWARDS and AIOLOS projects, advancing wind turbine material solutions. Media mentions highlight his role in AAU's 2018 research group launch.

Servet İbrahim Timurمشاهده پروفایل

استاد

• Materials Science
• Electrochemistry
• Metallurgical Engineering
• +۴ مورد دیگر

Prof. Servet İbrahim Timur is a full-time Professor at Istanbul Technical University's Department of Metallurgical and Materials Engineering, where he leads research in advanced materials synthesis and characterization. His laboratory focuses on electrochemical processing techniques for energy storage and functional materials. His research interests span: Electrochemical synthesis of borides and rare-earth metals Computational materials design for semiconductor applications Supercapacitor technologies using nickel/vanadium borides Surface engineering through boriding and multilayer coatings Thermodynamic modeling of doped semiconductor systems His recent publications demonstrate a strong focus on energy storage materials (particularly supercapacitor electrodes) and computational approaches to material defects. The work frequently combines experimental electrochemistry with atomistic modeling. Major scientific recognitions include: 1996 Best Doctoral Thesis Award R&D 100 Awards (2017) Graduation Design Project Competition Prize (2020) He currently leads 12 active research projects including: Molten salt electrolysis of rare earth oxides (2022-2023) Platinum group metal recovery from catalytic converters (2023-2025) Selective extraction of rare earth elements (2021-2023) He has supervised 38 graduate students through research projects.

Narayana Aluruمشاهده پروفایل

استاد

• Computational Nanotechnology
• Multiscale Methods
• Nanofluidics
• +۶ مورد دیگر

Narayana Aluru is a Professor and Cockrell Family Regents Chair in Engineering at The University of Texas at Austin, holding positions in the Walker Department of Mechanical Engineering and the Oden Institute for Computational Engineering and Sciences. He joined UT Austin in 2021 after a 23-year tenure at the University of Illinois at Urbana-Champaign, where he served as a Professor, Director of Computational Science and Engineering (2012–2017), and held leadership roles in academic and professional organizations. Education: B.E. (Hons), Birla Institute of Technology & Science, Pilani, India (1989) M.S., Rensselaer Polytechnic Institute (1991) Ph.D., Stanford University (1995) Postdoctoral Associate, MIT (1995–1997) Research Interests: Dr. Aluru specializes in computational nanotechnology, focusing on multiscale methods integrating quantum, atomistic, mesoscale, and continuum scales. His work addresses nanofluidics, bionanotechnology, nanomaterials, and soft matter, with applications in water desalination, nanopower generation, DNA sequencing, and energy storage. His group develops advanced simulation techniques to study phenomena such as ion transport, surface interactions, and nanoscale energy conversion. Publications: His recent work highlights advancements in nanofluidics, nanomaterials, and multiscale modeling. Key themes include dielectric behavior in confined fluids, charge inversion in electric double layers, and energy harvesting via MoS₂ nanopores. These studies bridge fundamental physics and engineering applications. Awards: Charles Russ Richards Memorial Award (ASME, 2024) Cockrell Family Regents Chair (UT Austin, 2023) Fellow of AAAS, APS, ASME, and IACM National Science Foundation CAREER Award (1999) Advising & Grants: A dedicated educator, Dr. Aluru has advised numerous graduate students and postdocs. He has led research supported by grants from NSF, DOE, and industry, emphasizing computational methods and nanotechnology. His teaching excellence was recognized repeatedly at UIUC. Labs/Teams: He leads the Multiscale Nanotechnology Group and collaborates with the Oden Institute, advancing interdisciplinary research in computational engineering and nanotechnology.