جست‌وجوی استاد و پژوهشگر

• Mechanical Engineering
• Composite Materials
• Structural Mechanics
• +۳ مورد دیگر

Arash Soleiman Fallah is a Professor at the Department of Mechanical, Electrical and Chemical Engineering, Faculty of Technology, Art and Design, Oslo Metropolitan University. He has held academic positions at Brunel University London (Associate Professor in Dynamics and Vibration) and Imperial College London (Assistant Professor in Aeronautics). His research focuses on mechanics of composite materials, blast and impact resistance, peridynamics, phononic metamaterials, and multiphysics modeling of wind turbines. Current affiliation: OsloMet Previous roles: Associate Professor (Brunel), Assistant Professor (Imperial) He leads research in composite wind turbine blade mechanics, frequency filtering in metamaterials, and damage modeling in metals and composites. His work includes extended finite element formulations and viscoplastic material modeling. Recent publications explore negative-stiffness composites, laser thermal forming, and multiphysics simulations for powder coating. His research spans structural engineering, acoustic metamaterials, and extreme loading conditions. Fellow of Higher Education Academy (HEA) Member of American Society of Mechanical Engineers (ASME) He serves as a Visiting Senior Research Consultant at ICP-ZHAW, contributing to interdisciplinary research in mechanics and mechatronics.

Raj Dasمشاهده پروفایل

استاد

• Computational Mechanics
• Structural Optimization
• Composite Materials
• +۴ مورد دیگر

Professor Raj Das is a Full Professor of 'Structures and Materials' and Deputy Head of Department (Research & Innovation) at RMIT University's School of Engineering. He leads the 'Simulation of Advanced Materials and Structures (SAMS)' research group and serves as Program Director for Aerospace Engineering and Aviation. His roles include honorary academic positions at the University of Auckland and University of Quebec. He holds over 20 years of expertise in computational mechanics, composite materials, and structural optimization, with over 350 publications. Das chairs national committees like the National Committee on Applied Mechanics (Engineers Australia) and international roles such as President of the International Congress on Mechanical Behaviour of Materials (ICM). His research focuses on advanced materials, additive manufacturing, and aerospace structures, addressing sustainability through lightweight composites and metamaterials. Education: PhD in Applied Mechanics from Monash University. Prior roles include positions at the University of Auckland, CSIRO, and University of Manchester. Research Interests: Composite materials, metamaterials, additive manufacturing, fracture mechanics, computational modeling. Key Awards: Sir George Julius Medal (2023), Computational Methods Award (ICCM), Jim & Hazel D. Lord Fellowship (2011). Grants/Industry: Collaborations with global industries and institutions on projects like fire-resistant composites and AM alloys. Teaching: Courses in composite materials, finite element methods, and structural analysis at RMIT and the University of Auckland. Supervises PhD projects on topics like hybrid composites and topology optimization. Labs/Teams: Leads SAMS Group and affiliated with Sir Lawrence Wackett Research Centre. Engages in initiatives like Au-Manufacturing Forum and DSI News.

Rainer Niekampمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Uncertainty Quantification
• Multiphysics Systems
• +۶ مورد دیگر

Dr.-Ing. Rainer Niekamp is a Researcher at the Department of Civil Engineering, Faculty of Engineering, University of Duisburg-Essen, where he has worked since 2016. He holds a diploma and doctorate in mathematics with a focus on computational mechanics and stochastic modeling. Studied mathematics and computer science at the University of Hannover (1986–1993) Doctoral degree in Civil Engineering from the University of Hannover (2000) Rainer Niekamp’s research spans computational mechanics, multiscale modeling, and stochastic methods. His work includes polynomial chaos expansion for data-driven modeling, partitioned systems for coupled simulations, and parallel software frameworks for large-scale problems. He specializes in model reduction , nonlinear dynamics , and component-based software engineering . His publications highlight multiphysics problems (e.g., thermo-mechanical coupling in steel processing, offshore wind energy converters) and software architecture for scientific computing. He has supervised numerous theses on topics like PeriDynamics simulations , multi-objective optimization , and heterogeneous network modeling .

• Materials Science
• Computational Mechanics
• Fracture Mechanics
• +۳ مورد دیگر

Shucheta Shegufta is a Professor and Chair for Materials Simulation at the Department of Materials Science and Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Her research focuses on computational modeling of material failure mechanisms, including peridynamics-based fracture analysis in brittle and porous materials. She holds an M.Sc. and is affiliated with the Materials Simulation group at FAU. Her work emphasizes interdisciplinary approaches to understand deformation and fracture processes in complex materials, leveraging advanced numerical methods. Recent contributions include studies on anticrack dynamics in foams and disorder effects in porous materials. Findings are published in journals like International Journal of Fracture and Journal of Statistical Mechanics . No scientific awards are explicitly listed in the provided texts. Research activities include collaborations on peridynamics correction methods and material failure modeling, as evidenced by co-authored papers with experts like Zaiser and Ritter. Further details are available at her lab's website here .

Xingjie Liمشاهده پروفایل

دانشیار

• Numerical Analysis
• Partial Differential Equations
• Mathematical Physics
• +۳ مورد دیگر

Xingjie (Helen) Li is an Associate Professor in the Mathematics & Statistics Department at the University of North Carolina at Charlotte. Her research focuses on numerical analysis, partial differential equations, and mathematical physics with an emphasis on nonlocal models, multiscale methods, and computational mechanics. She develops advanced numerical schemes for stochastic systems and explores applications in materials science, image processing, and epidemiological modeling. Her work bridges theoretical analysis and practical computation, addressing challenges in coarse-graining stochastic dynamics, atomistic-to-continuum coupling, and probabilistic collocation methods for heterogeneous materials. Recent studies include innovative approaches to nonlocal diffusion problems, peridynamic fracture modeling, and data-driven time-stepping algorithms for ergodic systems. She has also applied mathematical techniques to analyze real-world scenarios such as pandemic dynamics in Singapore and Japan. Key contributions include energy-preserving finite difference schemes, feature-oriented imaging compression frameworks, and inference-based adaptive methods. Her research portfolio reflects interdisciplinary collaboration spanning computational physics, applied mathematics, and data science.

Anton Evgrafovمشاهده پروفایل

دانشیار

• Optimal Design
• Nonlocal Nonlinear Diffusion
• Control Theory
• +۳ مورد دیگر

Anton Evgrafov is an Associate Professor in the Department of Mathematical Sciences at Aalborg University (AAU), affiliated with The Faculty of Engineering and Science. His research focuses on optimal design, nonlocal nonlinear diffusion, and control theory, with applications in electrical engineering and material science. He holds a Ph.D. in Applied Mathematics from Chalmers University of Technology (2004), specializing in topology optimization problems. Key contributions include advancements in nonlocal complementary energy principles, dual approaches to optimal control, and sparsity-promoting evaluation methods for power semiconductors. Research interests span nonlocal mechanics, peridynamics, and computational methods for engineering systems. Recent work emphasizes energy minimization principles, coefficient optimization in nonlinear systems, and design under vanishing material constraints. He actively participates in conferences and workshops, such as EUROMECH Colloquium 643 and the Qiskit Global Summer School, and delivers guest lectures on topics like nonlocal bond-based peridynamic diffusion.

• Multidisciplinary Design Optimization
• Computational and Experimental Mechanics
• Fluid-Structure Interaction
• +۷ مورد دیگر

Afzal Suleman is a Professor of Mechanical Engineering at the University of Victoria. His research focuses on multidisciplinary design optimization, computational/experimental mechanics, and aerospace structures. He holds a BSc (Honours), MS from Imperial College, and a PhD from UBC, with professional engineer (P.Eng) certification. Education: BSc (Honours) MS (Imperial College) PhD (UBC) Research interests include active aeroelastic structures, morphing wing design for UAVs, fluid-structure interaction, topology optimization, and hybrid-electric propulsion systems. His work emphasizes smart materials, nonlinear aeroelasticity, and sustainable aviation solutions. Notable projects include developing a multidisciplinary design optimization (MDO) tool for morphing wings and pioneering studies on pH-responsive polymers. His articles span aeroelastic control strategies, topology optimization methodologies, and UAV propulsion systems. He collaborates with the University of Victoria's Centre for Aerospace Research (CfAR), advancing technologies like CubeSats and unmanned systems for commercial and defense applications. Academic contributions include flight-tested aircraft prototypes for active control strategies and innovations in SPH boundary treatments for fluid-structure interaction simulations. His research bridges theory and practice, addressing challenges in aerospace efficiency and sustainability.

Selda Oterkusمشاهده پروفایل

استاد

• Peridynamics
• Fluid-Structure Interactions
• Fracture Mechanics
• +۷ مورد دیگر

Prof. Selda Oterkus is a Professor (Chair) at the University of Strathclyde's Department of Naval Architecture, Ocean and Marine Engineering, and co-director of the PeriDynamics Research Centre (PDRC). She holds a PhD in Mechanical Engineering from the University of Arizona. Her research focuses on multi-physics modeling, including damage prediction in materials and structures under various conditions. Key areas include fluid-structure interactions, offshore renewable energy systems, and composite materials. Her work is supported by organizations like BEIS, Innovate UK, and industry partners such as Babcock and TWI. Research interests span peridynamics, fracture mechanics, computational fluid dynamics, and desalination technologies. She has collaborated internationally, serving as a visiting professor at Stanford University, University of Padova, and Otto von Guericke University. She is an editor for journals like Computational Materials Science and chairs the ASME UK Section. Her projects include advanced manufacturing techniques, floating wind/solar energy devices, and corrosion damage analysis. She contributes to UN Sustainable Development Goals related to affordable clean energy and climate action. Supervised 16 students and led 32 projects, including consultancy work with Ferguson Marine. Active in workshops and conferences on sustainable materials and marine engineering. Labs/Teams: Co-directs the PeriDynamics Research Centre (PDRC), leading interdisciplinary research in computational mechanics and materials science.

Ata Muğanمشاهده پروفایل

استاد

• Structural Optimization
• Finite Element Analysis
• Vibration Control
• +۴ مورد دیگر

Ata Muğan serves as a Professor in the Department of Mechanical Engineering at Istanbul Technical University, where he has established a distinguished research career spanning structural optimization, vibration dynamics, and computational mechanics. His work bridges theoretical advancements with industrial applications in railway systems, automotive engineering, and biomechanics, supported by extensive publication output and project leadership. His research focuses on frequency-domain structural optimization, finite element modeling of complex systems, and vibration control mechanisms. Key contributions include Nevanlinna–Pick constrained optimization frameworks, compliant shock-absorbing mechanisms, and probabilistic fatigue life prediction models. Interdisciplinary expansions encompass dental biomechanics (micro-CT-based resin cement analysis) and computational immunology (T-cell hypersensitivity modeling in coronavirus infections), demonstrating methodological versatility across engineering and biomedical domains. Recent publications (2022–2024) reveal consistent innovation in structural dynamics, with 7 articles spanning frequency-domain optimization, vibration isolation, and fatigue analysis. Notable trends include integration of statistical methods for non-Gaussian load spectra, multi-scale modeling of turbine shaft failures, and cross-disciplinary applications in dental restoration biomechanics and immune response prediction. His scientific recognition includes: Güher Dosdoğru Ödülü (1986) Havacılık Mühendisliği En İyi Hoca ve En İyi Ders Ödülleri (1996) Makina Fakültesi Birincisi (1986) Prof. Muğan has supervised 78 research projects while leading 7 major funded initiatives (2016–2024), including TÜBİTAK-supported work on titanium alloy fatigue prediction, non-Gaussian load spectrum analysis, and peridynamic crack modeling. His projects consistently translate theoretical frameworks—such as optimized dynamic mathematical models for vibration control and frequency-domain fatigue optimization—into practical engineering solutions for automotive and rail industries.

Ray Fertigمشاهده پروفایل

استاد

• Dislocation Dynamics Simulations
• Multiscale Constitutive Modeling
• Physics-Based Modeling of Composite Fatigue and Failure
• +۶ مورد دیگر

Dr. Ray Fertig is the Department Head and Professor of Mechanical Engineering at the University of Wyoming, where he has held academic roles since 2011. He received his Ph.D. (2010) and M.S. (2005) in Materials Science from Cornell University, and M.S. (2003) and B.S. (2001) in Mechanical Engineering and Mathematics from the University of Wyoming. Department Head, 2024–present Professor, 2023–present Faculty, Materials Science and Engineering Program His research focuses on physics-based multiscale modeling of composite fatigue and failure, with specific interests in dislocation dynamics simulations , bio-inspired composite design , and microcracking in porous ceramics . He investigates how microstructural randomness affects composite reliability and develops stochastic models for failure prediction. Key publication trends include multiscale fracture mechanics , stochastic microstructure modeling , and applications of bio-inspired algorithms to composite optimization. His work spans material characterization, computational modeling, and integration into commercial finite element codes. Dr. Fertig advises graduate students in the Fertig Research Group , which combines virtual experiments , in-situ observations , and macroscale testing to validate failure models. Current projects link composite processing variations to microstructural and property distributions.

• Thermodynamics
• Combustion
• Heat transfer
• +۷ مورد دیگر

Prof. Eckehard Specht serves as Professor and Chair of Thermodynamics and Combustion at the Institute of Fluid Mechanics and Thermodynamics within the Faculty of Process and Systems Engineering at Otto-von-Guericke University Magdeburg, Germany. His research spans thermal engineering, heat transfer, fluid mechanics, and industrial process optimization, with particular expertise in rotary kiln technology, tunnel kiln processes, metal cooling and quenching, and combustion systems. His research interests focus on thermal processes in industrial applications, particularly in: Heat transfer mechanisms in rotary kilns and tunnel kilns Quenching processes and metal cooling technologies Combustion optimization and flame characterization CO2 separation technologies and energy efficiency in industrial processes Thermophysical properties of materials at high temperatures Prof. Specht's recent work demonstrates a strong focus on energy optimization in industrial thermal processes, with numerous projects examining ways to reduce energy consumption and CO2 emissions in ceramic manufacturing, metal processing, and lime production. His research combines experimental investigations with advanced computational modeling to understand complex thermal phenomena, including DEM simulations, CFD analysis, and particle-resolved modeling approaches. His laboratory work focuses on experimental analysis of thermal processes, with specialized equipment for studying heat transfer in rotary kilns, tunnel kilns, and metal cooling systems. His team employs advanced measurement techniques including infrared thermography, CFD simulations, and particle-resolved modeling to investigate complex thermal phenomena. Current projects include intensification of drying processes, influence of ejection on cooling during continuous casting of non-ferrous metals, and development of lime-based solid-state reactors for CO2 separation. Prof. Specht has received research funding for multiple projects examining energy optimization in industrial thermal processes, with particular emphasis on achieving CO2-free production in ceramic manufacturing by 2050. His work on tunnel kiln optimization has demonstrated potential energy savings of up to 60% in ceramic manufacturing processes.

• Applied Mathematics
• Computational Mathematics
• Machine Learning
• +۴ مورد دیگر

Yue Yu is a Professor in the Department of Mathematics at Lehigh University, specializing in applied mathematics and computational mathematics. Their research focuses on hybrid modeling, physics-informed machine learning, and nonlocal operators for material science and engineering applications. Yu has developed innovative methods for data-driven constitutive law discovery, peridynamic modeling, and causal graph learning. Their work bridges computational mathematics with real-world challenges in materials, biomedical systems, and fluid-structure interactions. Key research directions include operator learning frameworks (e.g., neural operators, nonlocal attention mechanisms), physics-guided smoothing techniques for material modeling, and scalable causal inference algorithms. Yu has pioneered methods like the Peridynamic Neural Operator (PNO) and Embedded Nonlocal Operator Regression (ENOR), advancing nonlocal calculus applications. Their contributions span interdisciplinary areas such as metamaterial design, fracture mechanics, and biomedical tissue modeling using digital image correlation. Publications emphasize methodological advancements in operator networks, DAG learning, and asymptotically compatible numerical methods. Yu has explored meta-learning for physics discovery and developed frameworks for integrating finite elements with deep neural operators. Current work addresses high-dimensional systems, data-scarce scenarios, and uncertainty quantification in complex material systems. Lab activities focus on computational modeling, numerical analysis, and AI-driven scientific computing. Collaborations involve engineering, physics, and biomedical domains. Yu's research is supported by leading journals in computational mathematics and has been recognized in conferences like the ASME Summer Bioengineering Conference.

Jerry Tessendorfمشاهده پروفایل

استاد

• Computer Graphics
• Visual Computing
• Fluid Dynamics Simulation
• +۶ مورد دیگر

Professor Jerry Tessendorf is a Professor of Visual Computing at Clemson University's School of Computing within the College of Engineering, Computing and Applied Sciences. He also holds the position of Faculty Fellow of the Hagler Institute for Advanced Study at Texas A&M University. His work bridges computer graphics, physics-based simulation, and visual effects with applications in film production and scientific visualization. Professor Tessendorf's research focuses on physically based simulation of natural phenomena , particularly ocean and fluid dynamics, volume rendering, and radiative transfer. His work spans theoretical foundations to practical applications in visual effects. He has developed influential algorithms including the iWave water surface simulation technique, Gilligan (a maritime digital twin framework), and advanced volume rendering methods. His research combines mathematical rigor with practical implementation for both scientific and entertainment applications. Tessendorf's publication record demonstrates consistent innovation across decades, with recent work focusing on maritime digital twins, advanced ocean rendering techniques, and path integral methods for radiative transfer. His research shows a clear trajectory from fundamental theory to practical applications in visual effects and scientific visualization. Awards and Recognition: AMPAS Technical Achievement Award 2008 (Oscar for technical achievement) for developing fluid dynamics tools at Rhythm and Hues Studios, used to create realistic animation of liquids and gases in film production Co-chair of the Symposium on Computer Animation 2008 at Trinity College Dublin Professor Tessendorf teaches advanced courses in computer graphics, including CPSC 4040/6040 Computer Graphics Images, CPSC 4190/6190 Introduction to Physically Based Modeling and Animation, and CPSC 8190 Physically Based Effects (focusing on Volume Modeling and Rendering). His educational approach integrates theoretical foundations with practical implementation through projects like the Fitz Film initiative, which involves students in all stages of digital content creation. His lab work centers around the Gilligan project , a prototype framework for simulating and rendering maritime environments with capabilities including ocean with normal mapping and whitecaps, wakes with whitecaps, hydrostatic boat buoyancy dynamics, nonlinear free surface dynamics, and atmospheric optics. This work represents a comprehensive digital twin approach to maritime visualization with applications in both entertainment and scientific domains.

Jack Xinمشاهده پروفایل

دانشیار

• Computational Mechanics
• Micromechanics
• Materials Science
• +۳ مورد دیگر

Jack Xin is an Associate Professor in the Department of Mechanical and Nuclear Engineering within the College of Engineering at Kansas State University, where he has served since 1998 after promotions from Assistant to Associate Professor in 2003. His career spans computational mechanics research and academic leadership in materials science. Education: Ph.D. in Mechanical Engineering, University of Sheffield, U.K., 1992 B.S. in Engineering Mechanics, University of Science and Technology of China, 1985 Research Interests: Dr. Xin specializes in computational mechanics with focus on micromechanics-based fatigue modeling , dislocation dynamics , and advanced numerical methods . His work pioneers solutions for crack growth prediction in grain microstructures, dislocation loop generation, and hyperplastic deformation in metal matrix composites using Finite Element Method, Meshless Method, and Peridynamics frameworks. Scientific Awards: No specific awards were documented in the source material. Advising and Service: Dr. Xin has mentored four Ph.D. students, 14 Master’s candidates, and three post-doctoral researchers. He actively contributes to academia as a conference session chair, proposal reviewer for international funding agencies, and reviewer for over 20 scholarly journals including mechanics and materials publications.

Zhen Chenمشاهده پروفایل

استاد

• Blast/Impact-Resistant Design
• Nanotechnology
• Simulation-Based Engineering Science
• +۳ مورد دیگر

Zhen Chen is a Professor in the Department of Civil and Environmental Engineering and the Nuclear Engineering Program at the University of Missouri, with an adjunct appointment in the Department of Mechanical and Aerospace Engineering. He specializes in blast-resistant design, nanotechnology, and simulation-based engineering science. His research focuses on material failure under extreme conditions, multi-scale modeling, and computational mechanics. He has received prestigious awards including the NSF CAREER Grant and ASME Fellowship. Education: PhD (University of New Mexico), MS (University of New Mexico), BE (Shanghai University). Prior to MU, he worked at Sandia National Laboratories and the New Mexico Engineering Research Institute. Research Interests: Blast-resistant structural systems Nanoporous materials and nanotechnology Material point method (MPM) and computational modeling Multi-scale simulation of materials Failure mechanisms in metals and composites Recent work emphasizes fluid-solid interactions in explosion-resistant designs, strain localization in laminated glass, and atomistic studies of nanoporous materials. Over 200 peer-reviewed articles demonstrate his contributions to computational mechanics and material science. Awards and Grants: NSF CAREER Award (2015) ASME Fellow (2019) Funding from NSF, AFOSR, ARO, and Sandia National Labs His work bridges micro- and macro-scale phenomena, with applications in aerospace, civil infrastructure, and defense systems. Active collaborations span mechanical, nuclear, and materials engineering disciplines.