جست‌وجوی استاد و پژوهشگر

Joseph Robsonمشاهده پروفایل

استاد

• Physical Metallurgy
• Alloys for Extreme Environments
• Microstructural Modeling
• +۸ مورد دیگر

Prof. Joseph Robson holds the RAEng-DSTL Chair in Alloys for Extreme Environments and is a Professor of Physical Metallurgy at the University of Manchester. His research focuses on microstructural evolution in industrial alloys, particularly aluminum, magnesium, and zirconium, using advanced modeling techniques like Calphad-based thermodynamic and kinetic models. He leads the Light Alloy Processing group and collaborates with institutions like the Henry Royce Institute. Key projects include optimizing microstructures for aerospace, automotive, and nuclear applications through processes like friction stir welding and thermomechanical treatment. Education: BSc in Natural Sciences (Cambridge, 1993), PhD in Metallurgy (Cambridge, 1996). Professional memberships include the Institute of Materials, Minerals and Mining (Fellow, Light Metals Division board member). Research interests span dynamic precipitation behavior, irradiation effects on zirconium alloys, and magnesium alloy strengthening. He has pioneered studies on discontinuous precipitation and its impact on material properties. Awards include the Hume Rothery Award (2015), Grunfeld Medal (2011), and Champion H. Matthewson Award (2017). Advising and grants: Leads major projects like LightForm (EPSRC) and NEWAM (innovative manufacturing). His work addresses challenges in alloy design for extreme environments, with a focus on sustainable materials and advanced processing techniques. Labs/Teams: Active in the Materials Performance Centre and collaborates with industry partners such as Magnesium Elektron and Westinghouse on nuclear materials research.

Ali Gholiniaمشاهده پروفایل

پژوهشگر ارشد

• Electron Microscopy
• Materials Characterization
• Focused Ion Beam (FIB)
• +۴ مورد دیگر

Dr. Ali Gholinia is a Research Fellow in the Department of Materials at The University of Manchester. He holds a PhD in Materials Science from the University of Manchester (1994), an MSc from the same institution (1992), and a BSc from Middle East Technical University (1988). His expertise spans over 20 years in electron microscopy, Focused Ion Beam (FIB), and Electron Backscatter Diffraction (EBSD), with a focus on 3D microstructure characterization, in-situ mechanical testing, and correlative imaging techniques. His work bridges X-ray tomography and serial sectioning in SEM, emphasizing material microstructure-property linkages. Education: PhD, Materials Science, The University of Manchester (1994) MSc, Materials Science, The University of Manchester (1992) BSc, Middle East Technical University (1988) Research Interests: EBSD and FIB-based 3D microstructure analysis In-situ tensile deformation in SEM Correlative tomography (XCT and FIB-SEM) Advanced materials characterization for energy and aerospace applications Articles Trends: Recent work emphasizes 3D microstructure reconstruction in polycrystalline solar cells, additive manufacturing microstructure analysis, and hydride characterization in Zr alloys. His publications frequently integrate advanced imaging techniques like fs-laser ablation and tri-beam microscopy. Awards: None explicitly stated. Advising & Grants: Currently accepting PhD students. His lab, 'Imaging and Characterisation Group,' focuses on cutting-edge materials analysis tools and methodologies. Labs/Teams: Lead the Imaging and Characterisation Group within the Department of Materials, specializing in correlative microscopy and 3D microstructure analysis.

• Metallurgy
• Materials Science
• Additive Manufacturing
• +۳ مورد دیگر

Associate Professor Gwenaelle Proust is an academic in the School of Civil Engineering at The University of Sydney. She holds a Diplôme d'ingénieur (eq.BE) from ISITEM (France), a Master's degree from Drexel University (USA), and a PhD in Materials Science and Engineering from Drexel University (2005). Her research focuses on improving the mechanical properties of metals (aluminum, steel, titanium, magnesium) for automotive/aerospace applications through microstructural analysis and additive manufacturing innovations. Her work emphasizes materials optimization for energy efficiency and structural performance, including projects like Microtimber (3D-printed composite panels from waste wood) and collaborations with industry partners. She leads the Sydney Manufacturing Hub and is a member of the University of Sydney Nano Institute. Research interests include twinning in magnesium alloys, modeling material behavior under complex loads, and bio-inspired composite design. She teaches courses such as CIVL2110 Materials and supervises PhD projects on topics like post-treatment routes for architectural materials and interpenetrating phase composites.

• Structural Engineering
• Steel Structures
• Civil Engineering Education
• +۳ مورد دیگر

Tim Wilkinson is a Professor and Associate Dean (Student Life) in the School of Civil Engineering at The University of Sydney. He holds academic qualifications including BSc, BE (Hons), MA, and PhD. His research focuses on structural steel behavior, particularly in connections and components of buildings and bridges, while also emphasizing improvements in engineering education and student outcomes. He has contributed to over 2000 students over 20 years, influencing their theoretical and practical foundations in civil engineering. Education: BSc BE (Hons) MA PhD Research Interests: Structural steel behavior under extreme loads Optimization of steel connections and components Advances in cold-formed steel sections Engineering education pedagogy and student success Recent Research Trends: His publications span structural mechanics, steel truss joints, and educational methodologies. Key themes include high-strength steel analysis, damage mechanics, and interdisciplinary curriculum design. Grants & Projects: ARC Linkage Project on structural systems with hollow flange sections (2004) Research into cold-formed steel behavior (2000-2005) Curriculum revisions at the University of Sydney (2005) Lab Affiliations: School of Civil Engineering Structures Laboratory Centre for Advanced Structural Engineering

Xiaohui Chenمشاهده پروفایل

مدرس ارشد

• Biomaterials
• Dental Materials
• Bioactive Glasses
• +۳ مورد دیگر

Dr. Xiaohui Chen is a Senior Lecturer in Biomaterials Science at the University of Manchester's Division of Dentistry within the School of Medical Sciences. Her research focuses on advanced dental materials including bioactive glasses, resin composites, and glass-ceramics, with applications in oral health, erosion prevention, and dental restorations. Chen's patented leucite glass-ceramic technology led to the development of Lumineers 2, a minimally invasive cosmetic dentistry solution. Her investigations span: Structure-property relationships in enamel and dentine 3D printing applications for dental replicas Implant surface modifications Oral health solutions for motor neuron disease patients Chen actively supervises doctoral candidates including Tina Mehrabi (MRC DTP) and Aboli Lakhe (A*STAR), and maintains collaborations with Peking University School of Stomatology.

Franz Wotawaمشاهده پروفایل

استاد

• Model-Based Reasoning
• Qualitative Reasoning
• Theorem Proving
• +۶ مورد دیگر

Franz Wotawa is a Professor of Software Engineering at Graz University of Technology. He holds a M.Sc. (1994) and PhD (1996) from Vienna University of Technology. He has served as head of the Institute for Software Technology from 2003–2009 and since 2020. His research focuses on model-based reasoning, software testing, autonomous systems, and diagnosis, with over 390 peer-reviewed publications. He founded Softnet Austria (2006) to bridge research and industry. He leads the Christian Doppler Laboratory for Quality Assurance Methodologies for Autonomous Cyber-Physical Systems since 2017 and has supervised 90+ master and 36+ PhD students. His awards include the 2016 Lifetime Achievement Award from the International Diagnosis Community. He is a member of Academia Europaea, IEEE, and AAAI. **Education**: M.Sc. in Computer Science, Vienna University of Technology, 1994 PhD, Vienna University of Technology, 1996 **Research Interests**: Model-based reasoning, qualitative reasoning, theorem proving, mobile robotics, verification/validation, software testing/debugging, AI, and autonomous systems. **Notable Projects**: A-IQ Ready (2022–2026): Quantum sensing for autonomous systems. ALFA (2024–2027): AI for smart diagnosis in building automation. Bilateral AI (2024–2029): Combining symbolic and sub-symbolic AI. VARCOS (2025–2028): Vehicle-road cooperative systems for autonomous driving. **Awards & Memberships**: Lifetime Achievement Award (2016, International Diagnosis Community) Senior Member, AAAI Member of Academia Europaea, IEEE, ACM, and Austrian Computer Society **Labs/Teams**: Christian Doppler Laboratory for Quality Assurance Methodologies (since 2017). Active in Cluster of Excellence “Bilateral AI” at TU Graz.

• Calculus of Variations
• Geometric Analysis
• Partial Differential Equations
• +۴ مورد دیگر

Domenico Mucci is an Associate Professor at the Department of Mathematics, University of Parma. His research focuses on calculus of variations, geometric analysis, and partial differential equations with applications to material science and continuum mechanics. Key areas of investigation include energy relaxation in constrained mappings, geometric curvatures of irregular curves, and fracture mechanics in elastic materials. Education details are not explicitly provided, but his extensive publication record indicates advanced expertise in mathematical analysis and applied mathematics. His work often involves collaborations with leading researchers such as P.M. Mariano and L. Nicolodi, addressing topics like BV spaces, Sobolev maps, and the mathematical foundations of non-smooth geometric structures. Research interests prominently feature relaxed energies in constrained systems , nonlinear elasticity models , and geometric singularities . Recent articles explore generalized Varga materials, minimal hyperfurfaces, and crack nucleation in shells. His contributions bridge pure mathematical analysis with applied mechanics, addressing problems in materials science and engineering. No scientific awards are explicitly mentioned, but his prolific publication history (64 papers listed) reflects sustained academic impact. Ongoing work includes studies on fractional Sobolev spaces, weak curvatures, and variational problems in high-dimensional settings. Collaborations often involve theoretical frameworks for continuum kinematics and incompatible strain decompositions.

Samuel Veresمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Tissue Mechanics
• Biomaterials
• +۳ مورد دیگر

Samuel Veres is an Associate Professor and Associate Dean of Science in the Division of Engineering at Saint Mary's University. He leads the Veres Lab, focusing on biomedical structure-function relationships in tissues and biomaterials. His work integrates engineering, physics, biology, and medicine to study tissue development, aging, and repair. Dr. Veres holds a PhD and is a Professional Engineer (PEng). His research emphasizes collagen-based biomaterials, tendon mechanics, and tissue regeneration. Recent projects include developing mineralized collagen scaffolds for bone repair and analyzing tendon nanostructure under mechanical stress. Key achievements include the ISSLS PRIZE IN BASIC SCIENCE 2020 for work on intervertebral disc nanostructure. His lab actively mentors undergraduate, Master's, and PhD students, with current openings available. Equipment and collaborations: The Veres Lab operates at Saint Mary's and Dalhousie Universities in Halifax, Canada, leveraging advanced imaging and mechanical testing technologies. Research focuses on translational applications for musculoskeletal health and regenerative medicine.

Wangzhong Muمشاهده پروفایل

مدرس ارشد

• Sustainable Metallurgy
• Microstructure Physics
• Alloy Design
• +۳ مورد دیگر

Prof. Wangzhong Mu is a Senior Lecturer (Docent) in the Department of Materials Science and Engineering at KTH Royal Institute of Technology, Stockholm. His research focuses on sustainable metallurgy, microstructure physics, and alloy design. He leads the thermo-physical property analysis section in the Hultgren Lab and is affiliated with Digital Futures at KTH. Educations: PhD in Materials Science, KTH Royal Institute of Technology (2015) MSc/Bachelor's in Materials Science, Northeastern University, China Research Interests: Inclusion engineering and microstructure-property correlations in steels High-entropy alloy design using digital tools (AI/thermodynamic modeling) In-situ characterization via confocal microscopy and multiscale analysis Recycling-oriented steel production and CO2 reduction strategies Grants/Projects (selected): SSF Strategic Mobility Grant (2023-2024): Clean steel for sustainable future VINNOVA Mobility Grant (2022-2024): Hydrogen-based metallurgy STINT Project (2022-2023): Inclusion engineering for green steel EIT RawMaterials (ENDUREIT, 2019-2021): Durable steels at intermediate temperatures Labs/Teams: Hultgren Lab (materials characterization), Digital Futures (AI-driven metallurgy), and international collaborations with Hanyang University (South Korea), IIT Bombay (India), and Tohoku University (Japan).

Amirreza Khodadadianمشاهده پروفایل

مدرس

• Uncertainty Quantification
• Numerical Analysis
• Computational Mechanics
• +۷ مورد دیگر

Dr. Amirreza Khodadadian is a Lecturer in Mathematics at the School of Computer Science and Mathematics, Keele University, since August 2023. He holds a Ph.D. from the University of Vienna (2017), followed by postdoctoral positions at the Technical University of Vienna and Leibniz University Hannover. His research focuses on uncertainty quantification, numerical methods for stochastic PDEs, finite element methods, computational mechanics, and machine learning applications in nanoelectronics and biological systems. Key research interests include Bayesian inversion, multiscale modeling, reduced-order methods, and the design of nanoscale sensors. He has collaborated with institutions like the University of Oxford and secured an Austrian Science Fund (FWF) grant (476k€) for nanozyme sensor research. Dr. Khodadadian mentors postdoctoral researchers, including Dr. Samaneh Mirsian, and actively publishes in top-tier journals such as Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering . His work bridges applied mathematics with engineering challenges, emphasizing efficient numerical algorithms for real-world problems like battery degradation, groundwater contamination, and biomedical sensor optimization. Recent projects involve machine learning integration for enhanced predictive modeling. Education: Ph.D. in Mathematics, University of Vienna, Austria (2017) Postdoctoral Fellowships: TU Vienna (2018), Leibniz University Hannover (2018–2022) Grants/Awards: Austrian Science Fund (FWF) Grant: Single Atom Catalysts as Nanozymes in FET Sensors (2023) Advising: Postdoctoral Mentor: Dr. Samaneh Mirsian (Keele University) Dr. Khodadadian’s publications span computational mechanics, stochastic modeling, and interdisciplinary applications, reflecting his expertise in translating mathematical theory into practical engineering solutions.

Jon R. Marstranderمشاهده پروفایل

استادیار

• Embedded Systems
• Digital Signal Processing
• Neurological Image Analysis
• +۷ مورد دیگر

Jon R. Marstrander is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Alabama at Birmingham (UAB) , where he joined the faculty in 2005. His expertise bridges Embedded Systems , Digital Signal/Image Processing , and Neurological Signal Analysis , supported by a Professional Engineering License since 1992. Education : B.S. in Electrical Engineering, UAB M.S. in Electrical Engineering, UAB Ph.D. in Computer Engineering, UAB His research focuses on collaborative neuroscience projects with UAB clinicians, combining industry-grade hardware/software design (from 16+ years of aerospace/medical engineering) with medical image analysis . Recent work includes high-performance computing workflows for neuroimaging and pathology modeling in Parkinson's/Schizophrenia. Key publication themes: Neurological Imaging (2015–2020), Exercise Neurology , Antipsychotic Treatment Analysis , and Optical Navigation Systems .

• Robustness and progressive collapse of structures
• Assessment and retrofitting of structures
• Sustainable infrastructure materials
• +۷ مورد دیگر

Dr Levingshan Augusthus Nelson is a Lecturer at The University of Salford's School of Science, Engineering & Environment, affiliated with the Centre for Future Engineering. He holds a PhD in Structural Engineering from the University of Cambridge (2012) and a BSc Eng (Hons) in Civil Engineering from the University of Moratuwa (2006). His research focuses on robustness of structures, retrofitting, sustainable materials, and quasi-brittle fracture mechanics. He has received awards including the Clancy Prize (2023), Research into Practice Award (2022), and Lundgren Research Award (2010). Teaching includes courses like Tall Building Design and Civil Engineering Surveying . He supervises PhD students and contributes to UN Sustainable Development Goals related to resilient infrastructure and sustainable cities. Recognitions include roles as an ICE Chartered Professional Reviewer, EPSRC Peer Review College member, and editorial roles in journals like Masonry International . His research outputs span advanced analytical models for FRP-concrete interfaces, scaling laws for progressive collapse studies, and innovative masonry arch bridge assessment methods. Key projects include KTP collaborations with industry and studies on geomechanical effects in shale production.

Jiong Tangمشاهده پروفایل

استاد

• System Dynamics
• Control
• Sensing and Automation
• +۷ مورد دیگر

Jiong Tang is a Pratt & Whitney Chair Professor in Design and Manufacturing at the University of Connecticut , where he also serves as Co-Director of the Management and Engineering for Manufacturing Program . He received his B.S. and M.S. in Applied Mechanics from Fudan University, China (1989 and 1992), and his Ph.D. in Mechanical Engineering from Pennsylvania State University (2001). Prior to joining UConn, he worked at the GE Research Center as a research engineer. Research Interests : System dynamics, control theory, smart materials, vibration suppression, uncertainty propagation, computational intelligence, and multi-physics system modeling. Current Projects : Digital twin development for aerospace materials, physics-informed machine learning in manufacturing, adaptive metasurface design, and optimization of cooperative robotics. Methodological Focus : Combines Bayesian deep learning , Gaussian process metamodeling , transformer-based architectures , and multi-fidelity data fusion for industrial applications. His work emphasizes smart sensing , electromechanical integration , and uncertainty-robust inverse analysis . Collaboration : Research funded by federal agencies and industrial partners , with particular emphasis on aerospace and manufacturing technologies. His recent publications highlight generative adversarial networks for defect detection , piezoelectric metamaterials , and physics-guided neural network architectures across mechanical, structural, and composite systems.

John Provisمشاهده پروفایل

استاد مهمان

• Cement Chemistry
• Materials Science
• Sustainable Construction
• +۳ مورد دیگر

Dr. John Provis is the Group Leader for Cement Systems at the Paul Scherrer Institute (PSI) in the Laboratory for Waste Management (LES). He holds a PhD in Chemical Engineering from the University of Melbourne, Australia, and was previously the Professor of Cement Materials Science and Engineering at the University of Sheffield, UK (2012–2023). His research focuses on cement chemistry, sustainable construction materials, and nuclear waste management, with a strong emphasis on standardization and beamline analysis. Provis has authored over 300 journal articles and secured major grants, including an ERC Starting Grant. He is a Fellow of multiple prestigious societies and has received awards such as the RILEM Robert L'Hermite Medal and a Doctor Honoris Causa from Universiteit Hasselt. He has supervised over 100 PhD/postdoc researchers and serves as an editorial board member for journals like Cement and Concrete Research and Materials and Structures . His research interests span cement durability, geopolymer development, and the environmental impact of construction materials. Provis also advises governments and agencies globally on funding and policy, contributing to projects like the Hanford Nuclear Reservation review. His work bridges academic research with industrial applications, emphasizing innovation in low-carbon materials and waste management solutions.

Johann Kastnerمشاهده پروفایل

استاد

• Computed Tomography
• Materials Science
• Non-Destructive Testing
• +۳ مورد دیگر

Johann Kastner is a Professor at Upper Austria University of Applied Sciences, leading the Research Center Wels Computed Tomography R&D-Headquarters. He is affiliated with Centers of Excellence in Automotive/Mobility, Energy, and Smart Production. His research focuses on advanced materials characterization using X-ray computed tomography (X-CT), with applications in non-destructive testing, composite materials, and biomedical engineering. Key research areas include porosity analysis in carbon fiber reinforced polymers, phase contrast imaging, and additive manufacturing. He has led over 10 projects, including the EU-funded xCTing initiative (2021–2025) and the X-PRO project (2020–2024), emphasizing industrial CT applications and cross-virtuality data analysis. His work spans 335+ publications, with notable contributions to XCT-based defect detection, material microstructure analysis, and AI-driven image segmentation. Collaborations include COMET K Projects and FTI-Structurförderung grants. He has advised 2 PhD students and actively participates in international conferences and workshops. Laboratory facilities include state-of-the-art XCT systems for 3D microstructural analysis, Talbot-Lau grating interferometry, and augmented reality visualization tools for industrial applications.