جست‌وجوی استاد و پژوهشگر

• Condensed Matter Physics
• Liquid Crystal Theory
• Geometric Modeling
• +۳ مورد دیگر

Fulvio Bisi is a Full Professor in the Department of Mathematics at the University of Pavia, specializing in mathematical modeling of condensed matter systems. His primary research group focuses on Mathematical Models for Condensed Matter , with significant contributions to liquid crystal theory and geometric modeling. His research spans Condensed Matter Physics and Mathematical Physics , with emphasis on nematic liquid crystals, biaxial phase transitions, and steric interactions in molecular systems. Key areas include: Biaxial-uniaxial phase transitions Steric effects in polar nematics Excluded-volume potentials for complex molecular symmetries Geometric modeling of orientational order Tricritical phenomena in ordered phases His recent publications reveal a consistent focus on mathematical frameworks for liquid crystal behavior, particularly analyzing molecular symmetry effects and phase diagram topologies. Professor Bisi teaches courses in Geometry and Algebra, Physics and Mathematics, and Euclidean Plane Geometry. His teaching materials include downloadable resources for MOOC students and corrected exam materials. Office hours are held Tuesday 4-5 PM and Wednesday 2-3 PM via Zoom or in person at office C6 (Dip Mate). Contact information: Email: fulvio.bisi@unipv.it Telephone: +39.0382.985618 Website: http://smmm.unipv.it/teaching.html

Qingguo Hongمشاهده پروفایل

استادیار

• Numerical Analysis
• Numerical PDEs
• Applied and Computational Mathematics
• +۳ مورد دیگر

Dr. Qingguo Hong is an Assistant Professor in the Department of Mathematics and Statistics at Missouri University of Science and Technology. His research focuses on numerical analysis, numerical PDEs, applied and computational mathematics, and deep learning. He holds a Ph.D. in Computational Mathematics from Peking University (2012), an M.S. from Xiangtan University (2008), and a B.S. in Information and Computational Science from Xiangtan University (2005). Prior to his current position, he held roles as a Research Scientist at the Johann Radon Institute for Computational and Applied Mathematics (Austria), Postdoctoral Scholar at the University of Duisburg-Essen (Germany), and Assistant Research Professor at Pennsylvania State University (USA). His work emphasizes innovative numerical methods, including extended Galerkin techniques, neural network-driven PDE solvers, and robust approximation frameworks for complex physical models like superconductivity and poromechanics. Research Interests: Numerical methods for partial differential equations (PDEs) Discontinuous Galerkin methods and finite element analysis Deep learning applications in scientific computing Stability analysis of numerical algorithms Phase-field modeling and material science simulations Publications Trends: Dr. Hong's recent work (2021-2025) emphasizes advancements in numerical PDEs through hybrid approaches combining classical methods (e.g., Korn’s inequalities, Galerkin methods) with modern machine learning tools (neural networks). Key themes include: Development of efficient algorithms for time-dependent and coupled PDE systems Stability frameworks for perturbed saddle-point problems Applications in superconductivity, poromechanics, and elasticity Robust discretization techniques for fluid-structure interactions Grants & Advising: While specific grants are not listed, his academic trajectory reflects sustained support through postdoctoral and research roles. He currently advises students in numerical analysis and computational mathematics.

Zheying Zhangمشاهده پروفایل

مدرس

• Requirements Analysis
• Domain Modelling
• Quality Assurance
• +۱۰ مورد دیگر

Zheying Zhang is a Lecturer at Tampere University within the Faculty of Information Technology and Communication Sciences , Department of Computing Sciences . She holds a Ph.D. in Computer Science and Information Systems from the University of Jyväskylä (2004) and was awarded a Docent (Adjunct Professor) title in Software Development from the University of Tampere (2013). Education: Ph.D. (2004), Docent (2013) Her research focuses on Requirements Engineering , with specific interests in Requirements Analysis Domain Modelling AI-Assisted Requirements Management Software Quality Assurance Process Improvement Data-Driven Software Development Medical Device Software Current Master's thesis topics include AI for Software Engineering, DevOps pipelines, and cross-disciplinary software ethics. Recent publications highlight trends in AI applications for requirements management, software evolution analysis , and accessibility testing . She actively supervises PhD candidates like Xiaozhou Li and Wenhui Lu, with works spanning open-source projects and medical software quality. Scientific Contributions: 54 research outputs (2003-2025), including 3 2025 conference papers

Uğurcan Eroğluمشاهده پروفایل

استادیار

• Structural Engineering
• Vibration Analysis
• Damage Identification
• +۳ مورد دیگر

Uğurcan Eroğlu serves as an Assistant Professor in the Department of Mechanical Engineering at Istanbul Technical University (İTÜ Ayazağa Kampüsü, 34000 Istanbul). His research focuses on structural mechanics with emphasis on vibration analysis, damage identification techniques, and nano-structure mechanics. He maintains active collaborations with international researchers including G. Ruta, E. Tüfekci, and A. Pau. His research interests encompass Structural Engineering, Vibration Analysis, Damage Identification, Nano-mechanics, Functionally Graded Materials, and Curved Beam Theory. Eroğlu develops advanced mathematical models using perturbation methods and non-local elasticity theories to solve complex structural problems. His work bridges theoretical mechanics with practical applications in structural health monitoring, particularly through modal curvature analysis and acoustic beamforming techniques for damage detection in arch structures and nano-beams. Analysis of his recent publications (2022-2025) reveals a consistent trend toward developing closed-form solutions for vibration problems in non-local structures. His research demonstrates increasing focus on nano-mechanics applications and damage detection methodologies, with notable contributions in parabolic arch analysis and beamforming techniques. The publications show interdisciplinary connections between structural mechanics, materials science, and signal processing. Dr. Eroğlu has secured two research projects as Principal Investigator: Hüzme Oluşturma Yöntemlerinin Yapısal Mekanikte Hasar Tespiti Problemlerinde Kullanılması (Beamforming Methods for Damage Detection in Structural Mechanics, 2023-2024, completed) and Reçine Baskı Yöntemi ile Parça Analizi (Resin Printing Method for Part Analysis, 2025, active). His scholarly impact is evidenced by an h-index of 10 and 287 citations across 25 research outputs from 2015-2025.

Michel Dupuisمشاهده پروفایل

استاد پژوهشی

• Renewable Energy Materials
• Computational Chemistry
• Multi-scale Modeling
• +۳ مورد دیگر

Michel Dupuis is a Research Professor in the Department of Chemical and Biological Engineering at the University at Buffalo (UB), affiliated with the Computation and Data-enabled Science and Engineering (CDSE) program, RENEW Institute, and the New York State Center of Excellence in Materials Informatics (CMI). His research focuses on computational design of renewable energy materials, leveraging multi-scale/multi-physics modeling and high-performance computing. Key areas include photocatalytic water oxidation, electrocatalytic hydrogen production, and semiconductor charge dynamics. Educated at the Ecole Polytechnique (France) and UB (PhD, 1976), Dupuis has held senior roles at Pacific Northwest National Laboratory and IBM. He is a Fellow of the American Physical Society and AAAS, and a member of the International Academy of Quantum Molecular Science. His NWChem software contributes widely to computational chemistry. Research Highlights: Design of novel materials for solar fuels, defect engineering in semiconductors, and predictive computational methods. Awards: Over 225+ publications (28,000+ citations), prestigious fellowships, and international academy memberships. Key Tools: DFT simulations, hybrid density functional theory, and mesoscale modeling frameworks. His work bridges fundamental theory and applied energy solutions, addressing global challenges in clean energy conversion and storage.

• Mechanics of Materials
• Computational Mechanics
• Fatigue and Fracture Mechanics
• +۷ مورد دیگر

Dr. Xiaosheng Gao is a Professor and Associate Chair for Graduate Programs in the Department of Mechanical Engineering at the University of Akron's College of Engineering and Polymer Science. He joined UA in 2001, with prior roles including Assistant Professor at Northwestern Polytechnical University (China), visiting positions at the Royal Institute of Technology (Sweden) and the National University of Singapore, and a Summer Faculty Fellowship at the Office of Naval Research. His research focuses on mechanics of materials, computational modeling, fracture mechanics, and multi-scale material behavior. Education: Ph.D. (2008, Brown University), M.S. (2005, Brown University), M.S. (1990, Xi'an Jiaotong University), B.S. (1987, Xi'an Jiaotong University). Research interests include constitutive modeling of advanced materials, fatigue and fracture mechanics, micromechanics, and corrosion damage analysis. Recent studies emphasize hydrogen embrittlement, composite material behavior, and environmental effects on material degradation. His work integrates experimental and computational methods, with applications in aerospace, naval, and structural engineering. Key awards include the American Society of Mechanical Engineers Fellowship and the Office of Naval Research Young Investigator Award. His contributions span over 50 peer-reviewed articles, focusing on material failure mechanisms, corrosion, and multi-scale modeling. Courses taught include Dynamics, Finite Element Analysis, and Continuum Mechanics.

• Materials Science
• Mineral Physics
• Transmission Electron Microscopy
• +۶ مورد دیگر

Alexandre MUSSI is a Lecturer at the University of Lille, affiliated with the Materials and Transformations Unit (UMET, CNRS UMR 8207) and teaches in the Physical Measurements department at IUT A in Lille. His research is centered on mineral plasticity, particularly in mantle and subduction zone minerals, using advanced Transmission Electron Microscopy techniques such as electron tomography, weak-beam imaging, and orientation mapping. His research interests include mineral deformation mechanisms, dislocation dynamics, electron tomography, high-pressure mineral physics, and geophysical applications of materials science. He collaborates extensively with researchers like Patrick CORDIER, Philippe CARREZ, and Karine GOURIET. Alexandre MUSSI’s recent publications (2021–2024) span high-impact journals such as Nature , Annual Review of Earth and Planetary Sciences , and Journal of Geophysical Research: Solid Earth . The articles reflect a strong focus on dislocation behavior in olivine, quartz, and MAX phases under extreme conditions, combining experimental TEM with mechanical modeling. A secondary theme involves materials for pharmaceutical applications, particularly mesoporous silica-based drug delivery systems. He has co-directed PhD theses by Timmo WEIDNER (2024) and Billy Clitton NZOGANG (2019). He actively presents his work at international conferences, including invited talks at Thermec 2021 and the French Microscopy Society (SFµ) 2023. He has not received any explicitly mentioned scientific awards in the provided text. He is actively involved in research projects related to planetary interiors and materials characterization. Alexandre MUSSI is part of the Plasticity research team at UMET and utilizes advanced electron microscopy platforms such as PMEL. He is not indicated as part-time, retired, or a former staff member, and there is no mention of his passing, confirming his active status.

Nicholas Finioمشاهده پروفایل

عضو هیئت علمی

• Gentrification
• Smart Growth
• Regional Planning
• +۳ مورد دیگر

Nicholas Finio is the Associate Director of the National Center for Smart Growth (NCSG) and an Assistant Research Professor at the University of Maryland's School of Architecture, Planning and Preservation. He specializes in gentrification, smart growth, regional planning, and equity. Finio leads research projects on housing policy, equitable development, and transportation, particularly focusing on the Purple Line Corridor. He has been involved in the NCSG since 2013, advancing to PhD candidacy in 2017 and defending his dissertation on gentrification measurement in 2022. His work includes analyzing neighborhood change, housing affordability, and regional equity in the Washington, D.C. area. Education: PhD in Urban and Regional Planning and Design (2022), M.Community Planning (2015), B.Economics (Gettysburg College, 2010). Research highlights include the Purple Line Corridor Coalition partnership, underutilized land analysis, and federal grant projects with Maryland Transit Administration. He teaches community development and advises on policy initiatives. Finio's publications and blog posts critique conventional gentrification narratives, emphasizing nuanced demographic shifts and equity-focused planning strategies.

• Numerics of Partial Differential Equations
• Computational Micromagnetism
• Optimal Mesh Refinement
• +۳ مورد دیگر

Michael Feischl is a Univ. Prof. at TU Wien's Institute for Analysis and Scientific Computing (E101). He specializes in numerical methods for partial differential equations, computational micromagnetism, and optimal adaptivity. Feischl leads the ERC Consolidator Project 'New Frontiers in Optimal Adaptivity' and has held academic positions at TU Wien, University of Bonn, and Karlsruhe Institute of Technology. His research interests span stochastic perturbations, finite element methods, and machine learning applications in computational mathematics. Feischl's work includes groundbreaking contributions to adaptive finite element methods, optimal mesh refinement strategies, and the numerical analysis of the Landau-Lifshitz-Gilbert equation in micromagnetics. His recent publications focus on advancing computational techniques for PDEs, neural operator networks, and stochastic collocation methods. He has developed algorithms with guaranteed convergence properties and optimal complexity, contributing to both theoretical and applied aspects of computational science. Education: Dipl.-Ing. Dr.techn. (PhD in Technical Mathematics) from TU Wien Awards: ERC Consolidator Grant 2022 Labs/Teams: Heads the 'Computational PDEs' research group at TU Wien's Institute for Analysis and Scientific Computing

David Smeuldersمشاهده پروفایل

استاد

• Transport in Porous Media
• Gas Dynamics
• Thermodynamics
• +۶ مورد دیگر

David Smeulders is a Full Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), specializing in Engineering Thermodynamics for Energy Systems. He holds a PhD in Physics from TU/e and an MSc in Aerospace Engineering from Delft University of Technology. His academic journey includes roles as an Assistant and Associate Professor at Delft University of Technology and visiting professorships at Ben-Gurion University (Israel) and Le Mans University (France). Research focuses on two core areas: microscale interface processes (e.g., electrokinetic flows, membrane technology, and condensation phenomena) and small-scale renewable energy systems (e.g., hybrid PV/T systems and thermochemical biomass treatment). Key techniques include molecular dynamics and Direct Simulation Monte Carlo modeling. He teaches courses on thermodynamics, gas dynamics, and sustainable energy systems. His work integrates experimental and computational approaches, addressing challenges in energy storage, porous media transport, and fracture mechanics. Notable collaborations include grants from the Negev Desert Large Scale Facility and Pays de la Loire. He contributes to editorial boards and advisory committees globally, emphasizing interdisciplinary energy solutions.

Sara Merino-Aceitunoمشاهده پروفایل

استاد

• Kinetic Theory
• Partial Differential Equations
• Emergent Phenomena
• +۳ مورد دیگر

Sara Merino-Aceituno is a Professor at the Faculty of Mathematics, University of Vienna. Her research focuses on kinetic theory and its applications to emergent phenomena in biology, medicine, and social sciences. She employs partial differential equations, probability, numerical simulations, and modeling to study systems where macroscopic patterns arise from microscopic interactions, such as cancer formation, pedestrian dynamics, and angiogenesis. She leads the Vienna Research Group for young investigators (WWTF-funded) project on kinetic theory applied to fertility, cancer, and development, collaborating with experimentalists and interdisciplinary teams. Education and Affiliations: No explicit educational details provided, but she holds a professorship at the University of Vienna. Her group, The HERD (Mathematics of Emergence in Natural Domains), includes researchers like Claudia Mußnig-Wytrzens, Carmela Moschella, and Havva Yoldas. Research Projects: WWTF Vienna Research Group grant (2018–2026): 1.6 million euros for studying kinetic theory in fertility, cancer, and development. Funded by FWF as part of SFB 65 'Taming Complexity in PDEs' for work on emergent properties in collective dynamics. Collaborates with biologists (e.g., Christa Bücker, Shotaro Otsuka) and mathematicians (e.g., Pierre Degond, Christian Schmeiser) on interdisciplinary projects. Scientific Contributions: Her work bridges mathematical theory and real-world systems, including modeling cell behavior in tissues, collective motion of particles, and opinion dynamics on networks. Publications span topics like nematic alignment in swarms, mechanical constraints in epithelia, and continuum modeling of social systems. Labs/Teams: Her team (The HERD) focuses on applying kinetic theory to biological and social systems. Collaborators include experimentalists and computational scientists, emphasizing cross-disciplinary synergy.

• Atomic Physics
• Quantum Optics
• Nonlinear Optics
• +۳ مورد دیگر

Prof. Dr. Manfred Lein is a Professor at the Institute of Theoretical Physics within the Faculty of Mathematics and Physics at Leibniz University Hannover. He holds key roles including Dean of Studies in the Faculty and membership in the Executive Board of the Institute. His research focuses on ultrafast quantum phenomena, strong-field ionization, and high-order harmonic generation (HHG), with contributions to attosecond science and machine learning applications in quantum systems. His work bridges theoretical modeling and experimental techniques, including the use of bicircular attoclocks and neural networks for molecular imaging. Positions: Dean of Studies (Faculty of Mathematics and Physics), Executive Board Member (Institute of Theoretical Physics), Professor Contact: manfred.lein@itp.uni-hannover.de | +49 511 762 3291 Lab: Group website: lein group Research interests emphasize electron dynamics in strong laser fields, molecular structure retrieval via HHG, and ultrafast processes. His articles highlight advancements in attosecond timing, Coulomb effects, and quantum control using THz and bicircular fields.

Sara Merino-Aceitunoمشاهده پروفایل

دانشیار

• Kinetic Theory
• Emergent Phenomena
• Mathematical Biology
• +۱۲ مورد دیگر

Sara Merino-Aceituno is an Associate Professor at the Faculty of Mathematics, University of Vienna, with prior academic roles at the University of Sussex and Imperial College London. Her research focuses on kinetic theory and mathematical modeling of emergent phenomena in biological, medical, and social systems. PhD in Mathematics, University of Cambridge (2015) MSc in Computer Science and Applied Mathematics, INP Grenoble (2010) BSc in Mathematics, Universitat Politècnica de Catalunya (2009) Her research interests center on understanding how macroscopic patterns arise from microscopic interactions, using tools from partial differential equations, probability, and numerical analysis. She specializes in interacting particle systems, collective dynamics, opinion formation, and cell tissue development. She collaborates closely with experimental biologists to validate and refine her models. The recent publications reflect a consistent focus on kinetic modeling of collective behavior, phase transitions, and multiscale analysis. Her work bridges abstract mathematical theory with concrete applications in biology and social sciences, often involving collaboration with interdisciplinary teams. She develops continuum limits of particle systems and investigates stability, alignment, and pattern formation in complex systems. Sara is actively involved in mentoring and science communication. She has co-authored study guides for students, leads outreach initiatives such as exhibitions at the 'Long Night of Research,' and produces educational videos. She also maintains a blog and YouTube channel to share insights on research, learning, and academic life. Co-authored guide: 'GOOD_STUDY_HABITS.pdf' with Amalio Fernández-Pacheco Created educational video 'Describing Patterns' with filmmaker Sameer Patel Regular contributor to public science events Active blogger on topics including coaching, creativity, and academic mindset She leads a research group called 'The HERD,' which investigates emergence in natural domains, focusing on mathematical models of biological and social systems. Her team includes postdoctoral researchers and students working on kinetic theory, numerical simulations, and interdisciplinary modeling projects.

• Mechanics
• Materials Science
• Civil Engineering
• +۳ مورد دیگر

Alain EHRLACHER is a Professor and Research Director at the Navier Laboratory, part of École des Ponts ParisTech (ENPC). He holds a Doctorat d’Etat from the University of Paris VI (1985) and has been active in research since 1978. His primary affiliations include the Mechanical and Materials Engineering department, focusing on interdisciplinary research in mechanics, materials science, and civil engineering. Education: Graduate of École Polytechnique and École nationale des ponts et chaussées. Completed Doctorat d’Etat in 1985 at University of Paris VI. Research Interests: Fracture mechanics and material failure analysis. Concrete technology and durability (e.g., alkali-silica reaction, thermal behavior). Thermal analysis of materials under extreme conditions. Computational modeling of grain growth and microstructural evolution. Mechanical behavior of composites and laminated materials. Key Contributions: Pioneered studies on alkali-silica reaction (ASR) in concrete, integrating fracture mechanics and poromechanics. Developed models for grain growth kinetics using Bayesian techniques and thermomechanical principles. Advanced computational methods for simulating coiling processes and structural fatigue in engineering systems. Lab & Affiliations: Active researcher at the Navier Laboratory, a leading center for mechanics and civil engineering research in France.

Marcial Gonzalezمشاهده پروفایل

دانشیار

• Multi-scale modeling
• Granular systems
• Pharmaceutical manufacturing
• +۴ مورد دیگر

Marcial Gonzalez is an Associate Professor of Mechanical Engineering at Purdue University's School of Mechanical Engineering. He holds a Ph.D. in Aeronautics from the California Institute of Technology and has expertise in multi-scale modeling of granular systems, pharmaceutical manufacturing, and energetic materials. His research focuses on predictive modeling of particulate processes and their applications in industries like pharmaceuticals and energy. Education: Ph.D., Aeronautics (Minor in Materials Science), California Institute of Technology, 2011 M.Sc., Aeronautics, California Institute of Technology, 2006 Mechanical Engineer, University of Buenos Aires, 2002 Research interests emphasize multi-scale modeling of microstructure evolution in granular systems, particulate product design, and continuous manufacturing. Key areas include pharmaceutical tablet performance, energetic materials thermomechanics, and biomass processing. Notable awards include multiple Seed for Success Awards (totaling over $1M in grants) and teaching accolades like the Robert W. Fox Outstanding Instructor Award. He is affiliated with Purdue's Center for Particulate Products and Processes and Ray W. Herrick Laboratories. Awards: Purdue Insights Fellow (2025-2026) Fellow of Purdue University Teaching Academy (2025) Outstanding Engineering Teacher (2024, 2019) Robert W. Fox Outstanding Instructor Award (2021) Grants and advising: Active in securing grants for projects like FDA-funded Industry 4.0 frameworks and DOE biomass transport studies. His work bridges micromechanics with industrial-scale manufacturing challenges. Labs/Teams: Leads research at the Gonzalez Research Group, focusing on granular dynamics and particulate product engineering.