جست‌وجوی استاد و پژوهشگر

Jonathan A. Kelnerمشاهده پروفایل

استاد

• Algorithms
• Spectral Graph Theory
• Combinatorial Optimization
• +۷ مورد دیگر

Jonathan A. Kelner is a Professor of Applied Mathematics in the Department of Mathematics at the Massachusetts Institute of Technology (MIT) and a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on applying techniques from pure mathematics to solve fundamental problems in algorithms and complexity theory, with the goal of developing practical algorithms for real-world questions. Dr. Kelner received his undergraduate degree from Harvard University and his Ph.D. in Computer Science from MIT in 2006. Before joining the MIT faculty, he spent a year as a member of the Institute for Advanced Study. His educational background has provided a strong foundation for his interdisciplinary research spanning mathematics and computer science. His research interests include combinatorial optimization, mathematical programming, spectral graph theory, distributed computing, machine learning, computational geometry and topology, computational biology, signal processing, and random matrix theory. Kelner's work demonstrates how deep theoretical insights can lead to practical algorithmic improvements, particularly in graph algorithms and optimization problems. His approach often involves connecting seemingly disparate areas of mathematics to create novel algorithmic techniques. Analysis of his recent publications reveals a strong focus on spectral graph theory, optimization algorithms, and the Sum-of-Squares method. His work frequently addresses fundamental questions in theoretical computer science with practical implications for algorithm design. A notable trend in his research is the development of nearly-linear-time algorithms for various graph problems, which represents significant improvements over previous approaches. NSF CAREER Award Alfred P. Sloan Research Fellowship NEC Award for Research in Computers and Communication Sprowls Doctoral Dissertation Award Best Student Paper Award at STOC 2004 Best Paper Award at STOC 2011 Kokusai Denshin Denwa Junior Faculty Chair 2008 Harold E. Edgerton Faculty Achievement Award 2011 School of Science Award for Excellence in Undergraduate Education 2012 Professor Kelner has been actively involved in mentoring students and has received recognition for his teaching excellence, including the School of Science Award for Excellence in Undergraduate Education in 2012. His research has been supported by prestigious grants including the NSF CAREER Award. He has collaborated extensively with researchers across multiple institutions, often working with other leading figures in theoretical computer science to produce groundbreaking results in algorithm design. At MIT, Kelner is part of both the Mathematics Department and CSAIL, positioning him at the intersection of theoretical mathematics and practical computer science. This dual affiliation reflects the interdisciplinary nature of his work, which bridges pure mathematical theory with concrete algorithmic applications.

• Global Analysis
• Index Theory
• Analytic and Topological Torsion
• +۷ مورد دیگر

Ursula Ludwig is a Professor at Université Côte d'Azur in Nice, France, affiliated with the Laboratoire Jean-Alexandre Dieudonné. She previously held professorial and permanent academic positions at the University of Münster and Universität Duisburg-Essen, and has been actively involved in major research collaborations and grants across Germany and France. Her educational background includes a PhD from the University of Leipzig and the Max-Planck Institute, followed by a habilitation at the University of Freiburg. Her research is centered on the interplay between geometry, topology, and analysis on singular spaces, with a focus on index theory, analytic torsion, and stratified Morse theory. Ludwig’s recent publications reveal a strong trajectory in extending classical theorems like the Cheeger-Müller and Bismut-Zhang theorems to singular and conical spaces, using advanced tools from global analysis and intersection cohomology. Her work bridges deep theoretical mathematics with concrete analytic methods, particularly on stratified and singular manifolds. She has been recognized with prestigious honors including being an Invited Sectional Speaker at the European Congress of Mathematics 2024 and serving as Associate Editor for the Journal of Singularities. She has led multiple DFG and ANR-DFG research projects and was a Marie Curie Fellow. Invited Sectional Speaker at ECM 2024 Associate Editor, Journal of Singularities Marie Curie Actions Research Fellow Principal Investigator, RTG 2553 and ANR-DFG project She advises PhD students such as Robert Franz and Ravjot Kohli, and has secured significant research funding. Her involvement in outreach includes organizing workshops for high school students and mentoring programs. She is a key member of the Cluster of Excellence Mathematics Münster and has organized multiple international scientific events.

• Geometric Analysis
• Ricci Curvature
• Metric Measure Spaces
• +۵ مورد دیگر

Shouhei Honda is a Professor at the Graduate School of Mathematical Sciences, The University of Tokyo, specializing in Geometric Analysis. His research focuses on metric measure spaces with Ricci curvature bounded below, collapsing Riemannian manifolds, and spectral convergence phenomena. Education: PhD (2009) from Kyoto University. Awards: Geometry Prize (2018), Young Scientists' Prize by MEXT (2017), Takebe Katahiro Prize (2015). His work bridges abstract metric geometry with concrete geometric structures, particularly in Ricci limit spaces and RCD spaces. Recent studies emphasize spectral properties, Sobolev mappings, and stability theorems under curvature constraints. The 15 most recent articles highlight advancements in Ricci curvature bounds, collapsing geometry, spectral convergence, and non-collapsed RCD spaces. Key topics include topological stability, Weyl's law, harmonic maps, and weakly second-order differential structures. Scientific Awards: Geometry Prize, Mathematical Society of Japan (2018) Young Scientists' Prize, MEXT (2017) Takebe Prize, Mathematical Society of Japan (2015) Grants: Grant-in-Aid for Transformative Research Areas (2022-2027) Grant-in-Aid for Scientific Research (B) (2021-2026) Grant-in-Aid for Scientific Research (B) (2018-2021) Honda actively contributes to academic and public engagement, including lectures on geometry and Ricci curvature at institutions like the University of Tokyo and Tohoku University. He collaborates with leading researchers in geometric analysis and curvature bounds.

• Concrete Technology
• Materials Science
• Additive Manufacturing in Construction
• +۴ مورد دیگر

Christoph Gehlen is Professor and Chair of Materials and Materials Testing in Civil Engineering at the Technical University of Munich (TUM), based at Franz-Langinger-Str. 10 in Munich. His research group focuses on advanced concrete technologies, materials science, and digital construction methods, with significant contributions to additive manufacturing in civil engineering through the Collaborative Research Center TRR 277. His research spans concrete technology, durability assessment, and sustainable construction practices. Key interests include corrosion mechanisms in reinforced concrete, non-destructive testing methodologies, and additive manufacturing techniques like Selective Paste Intrusion (SPI). Recent work emphasizes 3D concrete printing for structural applications, life cycle assessment of printed elements, and fundamental studies on material behavior under environmental stressors including carbonation, chloride exposure, and freeze-thaw cycles. Analysis of his 15 most recent publications (2024-2025) reveals dominant research trajectories in digital fabrication of concrete structures, particularly SPI-based additive manufacturing. His work integrates materials science with structural engineering to develop functionally graded components, assess sustainability metrics, and solve reinforcement integration challenges. Significant interdisciplinary efforts address durability issues through electrochemical monitoring, coda wave interferometry, and advanced imaging techniques for concrete microstructure characterization. Gehlen leads the Chair of Materials and Materials Testing in Civil Engineering at TUM, which operates advanced laboratories for concrete characterization including confocal laser scanning microscopy and virtual testing environments. His team actively participates in TRR 277 (Additive Manufacturing in Construction), developing fabrication-aware design methods and experimental validation protocols for novel construction technologies.

Magdalena Schreter-Fleischhackerمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Additive Manufacturing
• Multi-phase Flow Modeling
• +۳ مورد دیگر

Dr. Magdalena Schreter-Fleischhacker works at the Technical University of Munich within the Professorship of Simulation for Additive Manufacturing . Her research focuses on physics-based computational modeling of coupled liquid-powder-gas dynamics in metal additive manufacturing, including melt pool dynamics and powder-gas interactions . She specializes in multi-phase flow modeling using cut-element and diffuse interface methods with continuous/discontinuous Galerkin schemes . She also develops constitutive models for quasi-brittle materials like 3D printed concrete and rock, incorporating anisotropy , gradient-enhanced damage mechanics , and micropolar continua . Her computational work leverages matrix-free algorithms and parallel computing , with significant contributions to the deal.II finite element library . Research Interests Physics-based computational modeling of coupled liquid-powder-gas dynamics in additive manufacturing Multi-phase flow simulation using sharp/diffuse interface methods Advanced constitutive modeling for quasi-brittle materials (rock, soils, 3D printed concrete) High-performance computing and matrix-free algorithms Notable Contributions Development of consistent diffuse-interface models for melt-vapor dynamics Improvements to continuum surface flux models in additive manufacturing Formulation of gradient-enhanced damage-plasticity models for geological materials Principal contributor to the deal.II library (version 9.6) Supervised Student Projects Johannes Resch (2024): DG-based thermo-hydrodynamic melt pool simulations Julian Brotz (2024): DEM-FEM coupling for fluid-powder interaction Andreas Ritthaler (2024): Matrix-free cutDG formulation for complex flows Tinh Vo (2023): Laser modeling for melt pool simulations Scientific Awards ERC Starting Grant recipient

Zhang Chuanzengمشاهده پروفایل

استاد

• Acoustic and elastic wave propagation
• Mechanics of smart materials and structures
• Phononic crystals and wave control
• +۷ مورد دیگر

Professor Chuanzeng Zhang is a renowned academic currently serving as Professor (C4) and Chair of Structural Mechanics at the Department of Civil Engineering, University of Siegen, Germany. He has held leadership roles including Head of the Department of Civil Engineering (2015–present) and Director of the Institute of Structural Engineering (2007–2010). With a habilitation from Technical University Darmstadt and a PhD from Northwestern University, his research spans acoustic wave propagation, computational mechanics, and multifunctional materials. Education : PhD (Dr.-Ing.) from Northwestern University (USA), Habilitation from Technical University Darmstadt (Germany), Diploma (Dipl.-Ing.) from Technical University Darmstadt. Key Roles : Guest Professor at multiple Chinese institutions (Harbin Institute of Technology, Tongji University), Vice-President of the International Chinese Association for Computational Mechanics. Research interests include: Mechanics of smart materials and structures Wave propagation in phononic crystals Fracture mechanics in composite materials Computational methods for anisotropic solids Surface and interface effects in nanomaterials Multifunctional and functionally graded materials Recent Publications : His work focuses on advanced computational methods for wave propagation, fracture analysis, and smart materials, with applications in phononic crystals, piezoelectric composites, and functionally graded structures. Honors & Awards : 2015: Du Qinghua Medal for Computational Methods 2015: Member of European Academy of Sciences and Arts 2015: Honorary Doctorate from Slovak University of Technology 2014: Member of European Academy of Sciences Leadership & Collaborations : Led Senate Commissions, Research Advisory Committees, and DVM Working Groups. Maintains strong academic ties with institutions in China and Germany.

Mahler Andrásمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Soil Mechanics
• Numerical Modeling in Geotechnics
• +۳ مورد دیگر

Mahler András , Associate Professor at the Faculty of Engineering (Budapest University of Technology and Economics), specializes in Geotechnical Engineering and Soil Mechanics within the Department of Engineering Geology and Geotechnics . His research integrates numerical modeling and empirical testing to address geotechnical challenges in infrastructure and construction materials. Department: Engineering Geology and Geotechnics Email: mahler.andras@emk.bme.hu Courses: Soil Mechanics, Geotechnical Finite Element Analysis, Numerical Methods in Geotechnics Research Focus Mahler's work emphasizes: Geotechnical Testing : CPT-Vs correlations, hypoplastic parameter calibration, and permeability studies. Material Behavior : Analysis of rolled asphalt, concrete seepage, and collapsible soils. Seismic Applications : Liquefaction hazard assessment and seismic fragility of embankments. His recent publications highlight advancements in soft clay characterization , asphalt modeling , and sustainable soil stabilization using sewage sludge ash. Awards Építő250 Scholarship

• Computational stochastic mechanics
• Machine learning in engineering
• Engineering safety assessment
• +۷ مورد دیگر

Dr Dee Wu serves as a Senior Lecturer at the School of Civil and Environmental Engineering at the University of Technology Sydney (UTS), specializing in the integration of computational mechanics, machine learning, and engineering design. With a strong research profile focused on structural reliability and safety assessment, Dr Wu develops innovative frameworks that bridge theoretical mechanics with practical engineering applications, particularly in the realm of composite materials and uncertain structural behavior. Dr Wu's research interests center on computational stochastic and non-stochastic mechanics, with particular emphasis on machine-learning-aided engineering safety assessment, nondeterministic methods for isogeometric analysis with polymorphic uncertainties, and AI techniques for composite material design. Their work addresses critical challenges in structural engineering where uncertainty quantification becomes essential for safety evaluation. The research output reveals a clear trajectory toward developing virtual modeling techniques that significantly enhance computational efficiency while maintaining accuracy in structural analysis. Dr Wu's publications demonstrate expertise in phase-field methods, support vector regression variants (including Extended SVR, Capped SVR, and Twin SVR), and uncertainty quantification frameworks that handle both aleatoric and epistemic uncertainties. These techniques have been successfully applied to fracture mechanics, buckling analysis, vibration analysis, and impact assessment problems. Dr Wu actively pursues funded research in three main areas: Digital twin applications in Civil Engineering, Machine learning aided engineering analysis and design, and Safety assessment for Smart City initiatives. Currently, they are a key participant in the ARC Discovery Project 'Assessment of Dynamic Pile Driving Using Machine Learning' (DP230102781), running from June 2023 to May 2026, working alongside researchers Khabbaz M, Fatahi B, and Zhang X. In teaching, Dr Wu delivers courses including Introduction to Civil and Environmental Engineering (48310), Advanced Engineering Computing (48371), and Finite Element Analysis (49047), demonstrating commitment to both foundational and advanced engineering education. Their ORCID identifier is 0000-0002-7284-5024, and they maintain an active Google Scholar profile reflecting their substantial research contributions in computational structural engineering.

Lloyd Pilgrimمشاهده پروفایل

مدرس ارشد

• Terrestrial Laser Scanning
• Photogrammetry
• Cadastral Surveying
• +۳ مورد دیگر

Dr Lloyd Pilgrim is a Senior Lecturer and Head of the Discipline of Civil Engineering, Surveying and Environmental Engineering at The University of Newcastle. He joined in 2017 and serves as Program Convener for Surveying Degree Programs. His career includes academic roles at The University of Sydney (1993–1999), industry leadership at AAM Pty Ltd (2000–2016), and global risk management in spatial information. Education: PhD (The University of Newcastle, 1991) and Bachelor of Surveying (The University of Newcastle, 1987). Research focuses on terrestrial laser scanning, photogrammetry, and cadastral surveying, with recent work on TLS calibration, dam monitoring, and atmospheric refraction modeling. Professional Memberships: Board of Surveying and Spatial Information (Director), Surveying and Mapping Industry Council NSW (Member), Institution of Surveyors NSW (Member) Awards: Finalist, NSW Surveyor of the Year (2021) HMG Surveyor of the Year (2020) John Haydon Cardew Prize (1998) Grants & Supervision: Secured $34k in grants (1994–1997), supervising 3 PhD candidates (2 current: TLS calibration and seismic modeling; 1 completed: dam framework analysis).

Semih Doğuمشاهده پروفایل

استادیار

• Electromagnetic Theory
• Microwave Imaging
• Inverse Scattering Problems
• +۳ مورد دیگر

Semih Doğu is an Assistant Professor at the Department of Electronics and Communication Engineering , Faculty of Electrical and Electronics Engineering , Istanbul Technical University . His research focuses on Electromagnetic Theory , Microwave Imaging , Inverse Scattering Problems , and Antenna Design . Doctorate: Istanbul Technical University (2023) Master's: Istanbul Technical University (2017) Bachelor's: Yıldız Technical University (2015) His research interests emphasize microwave-based diagnostics, including: Microwave imaging for breast cancer detection Antenna optimization for medical and security applications Inverse problem solving in electromagnetic systems Through-the-wall imaging for surveillance Semih Doğu's recent publications demonstrate his expertise in: Neural networks for temperature monitoring in hyperthermia Ku/Ka-band antenna designs for satellite systems Microwave salinity sensing Algorithm development for improved imaging accuracy He contributes to the ITU Electromagnetics Research Group , participating in projects like: Microwave Brain and Breast Imaging Device Development Compressed Sensing for Energy-Efficient Communication Microwave Tissue Analysis

Christoph Nethingمشاهده پروفایل

پژوهشگر

• Lightweight Construction
• Adaptive Structures
• Architectural Design
• +۳ مورد دیگر

Christoph Nething is a Doctoral Researcher at the Institute for Lightweight Design and Construction (ILEK) within the University of Stuttgart. His work focuses on interdisciplinary research combining architectural design with engineering principles, particularly in lightweight construction, adaptive facades, and sustainable building technologies. Position: Researcher Education: Master of Architecture (M.Arch.) Contact: +49 711 685 63765, Pfaffenwaldring 14, 70569 Stuttgart, Germany His research explores resource-efficient structures, gradient materials, and kinetic facades, aligning with ILEK’s emphasis on lifecycle optimization from design to disassembly. He contributes to projects like AP 35 – Exploit4InnoMat and collaborates within the Collaborative Research Center 1244 network. ILEK’s work spans textile-based and glass construction, advanced concrete systems, and ultra-lightweight adaptive designs, integrating digital tools and innovative fabrication methods.

Chien Ming Wangمشاهده پروفایل

استاد

• Structural stability
• Vibration analysis
• Structural optimization
• +۷ مورد دیگر

Professor Chien Ming Wang is the Transport and Main Roads Chair Professor of Structural Engineering at the University of Queensland (UQ) since 2017. He also holds an Adjunct Professor position at Monash University and contributes to the Centre for Marine Science within UQ’s Faculty of Science. Alumnus of the Year 2015, Monash University Chartered Structural Engineer Educational Background : Bachelor of Civil Engineering (First Class Honours), Monash University, 1978 M.Eng.Sc. and Ph.D., Monash University, 1980 & 1982 Research Focus : Pioneering Very Large Floating Structures (VLFS) with applications in floating bridges, oil storage, and aquaculture systems. His work spans structural stability, vibration analysis, optimization of arches, and nonlocal theories for nanostructures. He developed Hencky bar-chain models and Shooting-Optimization Technique for boundary value problems. Scientific Leadership : Authored 500+ journal papers, 6 books, and 4 edited volumes with over 26,000 citations. Led $10M+ in industrial projects including Blue Economy CRC initiatives. Holds multiple patents in floating structures and aquaculture systems. 2019 Nishino Medal 2019 JN Reddy Medal IStructE Singapore Structural Award for Sustainability 2016 Minister of National Development R&D Special Mention 2017 Advising & Collaborations : Supervised 28 PhD and 20 MEng students, including work with NUS , SINTEF , and PolyU . Current projects involve offshore seaweed farms, self-healing concrete, and hybrid timber-cardboard composites.

• Structural Health Monitoring
• Structural Control
• Stochastic Fatigue
• +۴ مورد دیگر

B. F. Spencer Jr. is the Nathan M. and Anne M. Newmark Endowed Chair in Civil Engineering at the University of Illinois at Urbana-Champaign, where he directs the Multi-Axial Full-Scale Sub-Structured Testing & Simulation Facility and the Smart Structures Technology Laboratory. He joined the university in 2002 after serving as Leo E. and Patti Ruth Linbeck Professor of Engineering at the University of Notre Dame (1985-2002). Education includes: Ph.D. in Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign (1985) M.S. in Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign (1983) B.S. in Mechanical Engineering, University of Missouri-Rolla (1981) His research focuses on pioneering innovations in structural health monitoring, stochastic mechanics, and smart sensor technologies. Key areas include development of wireless sensor networks for real-time infrastructure assessment, seismic hazard mitigation strategies, and AI-driven damage detection systems. His work bridges theoretical computational mechanics with practical civil engineering applications to enhance resilience against natural disasters. Recent publications emphasize digital twins, UAV-based structural inspection, machine learning for damage identification, and advanced sensor networks. Trends show strong integration of AI, 3D visualization, and edge computing for rapid post-disaster evaluation and predictive maintenance of critical infrastructure. Major scientific honors: ASCE Housner Medal (2015) J.M. Ko Medal (2014) Foreign Member of Polish Academy of Sciences (2005) Structural Health Monitoring Person of the Year (2011) JSPS Fellowships (1999, 2000) He leads significant infrastructure projects including NSF-funded facilities and industry collaborations. Laboratory initiatives involve full-scale testing of bridges, gates, and seismic mitigation systems. Educational outreach includes K-12 STEM programs like 'Shakes and Quakes' to inspire future engineers.

• Computer Vision
• Pattern Recognition
• Machine Learning
• +۷ مورد دیگر

Prof. Dr.-Ing. Joachim Denzler is a Professor leading the Chair for Digital Image Processing (Lehrstuhl für Digitale Bildverarbeitung) at Friedrich-Schiller-Universität Jena. His research spans computer vision, machine learning, medical imaging, and remote sensing applications across diverse domains including biomedical analysis, environmental monitoring, and facial recognition systems. His research interests focus on explainable AI, causal discovery, physics-informed neural networks, and bias mitigation in deep learning models. He has made significant contributions to fine-grained classification, concept activation vectors, and privacy-preserving techniques in facial recognition. His work often bridges theoretical computer vision with practical applications in medical diagnostics, environmental science, and infrastructure monitoring. His recent publications demonstrate a strong trend toward causal discovery methods, physics-informed neural networks, and addressing bias in machine learning systems. His work spans both theoretical advancements in model interpretability and practical applications in medical imaging, environmental monitoring, and infrastructure safety. The interdisciplinary nature of his research is evident from collaborations with ecologists, neuroscientists, and civil engineers. Best Paper Award at International Conference on Pattern Recognition (ICPR) 2024 Prof. Denzler actively mentors numerous PhD students and postdoctoral researchers, with frequent co-authors including Maha Shadaydeh, Niklas Penzel, Gideon Stein, and Tim Büchner appearing as first authors on significant publications. His laboratory has secured research funding across multiple domains including medical imaging, environmental monitoring, and AI safety. His work on CausalRivers represents a major contribution to benchmarking causal discovery methods with real-world time series data. The Chair for Digital Image Processing maintains strong industry and clinical partnerships, particularly in medical imaging applications for facial palsy analysis and neonatal care. Prof. Denzler's team has developed novel techniques for dam deformation monitoring using remote sensing data and created advanced methods for analyzing plant diversity effects on ecosystem functioning.

Anil Misraمشاهده پروفایل

استاد

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

Dr. Anil Misra is the Chair and Professor in the Department of Civil and Environmental Engineering at Florida International University (FIU), Miami. Previously, he served as the Glenn L. Parker-James L. Tyson Professor of Engineering Mechanics at the University of Kansas (KU) and Associate Director of KU's Institute for Bioengineering Research. He also held faculty positions at the University of Missouri-Kansas City (UMKC) from 1990 to 2007. He holds a bachelor’s degree in civil engineering from the Indian Institute of Technology (IIT), Kanpur, India (1985), and M.S. and Ph.D. degrees from the University of Massachusetts Amherst (1988 and 1991). His teaching focuses on engineering mechanics, materials engineering, computer methods, and geotechnical engineering. Dr. Misra’s research bridges mechanics and materials science, emphasizing granular micromechanics, biomaterials, and geotechnical engineering. His work includes pioneering the granular micromechanics approach (GMA) to model granular materials and metamaterials. He has authored over 350 publications, co-edited four books, and guest-edited six journal special issues. His research has been funded by governmental agencies and industry. He has received the 2017 Eugenio Beltrami Senior Scientist Prize for contributions to granular micromechanics and a 2018 Fulbright Specialist award. He actively serves on editorial boards, technical committees, and provides industry consulting. His lab explores interdisciplinary topics like dental adhesives, metamaterials, and computational mechanics.