جست‌وجوی استاد و پژوهشگر

Italo Barbosa Brasileiroمشاهده پروفایل

پژوهشگر

• Optical networks
• Traffic engineering
• 6G technologies
• +۳ مورد دیگر

Dr. Italo Barbosa Brasileiro is a postdoctoral researcher and research assistant at the Technische Universität Braunschweig (TU Braunschweig), Germany. He is affiliated with the Faculty of Electrical Engineering, Information Technology, and Physics, working within the Department of Electrical & Computer Engineering and the Institute for Computer and Network Engineering (Institut für Datentechnik und Kommunikationsnetze). He is a key member of Prof. Jukan's research group, where he conducts cutting-edge research in optical networking and communications technology. Dr. Brasileiro holds a Bachelor's and Master's degree in Computer Science from the Federal University of Piauí, Brazil, and a Ph.D. in Traffic Engineering from the University of Brasília, Brazil. His academic journey has positioned him as a specialist in network engineering with a focus on next-generation communication systems. His primary research interests include: Optical networks and fiber communications Traffic engineering for next-generation networks 6G technologies and security Energy efficiency in optical networks Multi-core fibers and spatial division multiplexing Mitigation of physical impairments in optical fibers Dr. Brasileiro's recent publications demonstrate a strong focus on improving network efficiency, security, and performance in optical and wireless communication systems. His work addresses critical challenges in spatial division multiplexing, crosstalk mitigation, and energy efficiency in elastic optical networks, with direct applications to next-generation 6G infrastructure development. His scientific contributions have been recognized through publications in top-tier venues including IEEE Globecom, ECOC, and IEEE Transactions on Green Communications and Networking. His research has practical implications for developing more efficient, secure, and sustainable communication networks that will form the backbone of future digital infrastructure. As a member of Prof. Jukan's research group, Dr. Brasileiro contributes to the vibrant research ecosystem at TU Braunschweig, collaborating across disciplines to advance the state of the art in network engineering and communications technology, with connections to the university's core research areas in Mobility and Engineering for Health.

• Civil Engineering
• Mechanical Engineering
• Manufacturing Engineering
• +۳ مورد دیگر

Dr. Shiwei Zhou is an Associate Professor in the School of Engineering at RMIT University. His research focuses on structural topology optimization, materials engineering, and additive manufacturing, with applications in civil, mechanical, and biomedical engineering. He is actively involved in supervising research students and developing innovative methods for optimizing structural designs using computational techniques such as B-spline level set methods and reaction diffusion-based models. His work bridges theoretical advancements with practical applications in composite materials, porous structures, and energy-absorbing systems. Research Interests: Structural topology optimization for fiber-reinforced composites Design of lightweight and high-performance materials Additive manufacturing and 3D concrete printing Computational methods for material design and homogenization Energy absorption structures and metamaterials Articles and Contributions: Dr. Zhou’s recent work emphasizes advancing topology optimization techniques, particularly for complex materials and structures. His research trends include integrating B-spline and NURBS methods with level set approaches, exploring fluid-structure interactions, and developing open-source tools for structural analysis. His studies on porous materials and fail-safe truss designs highlight practical engineering solutions. Advising and Grants: Open to supervising PhD and Masters students in structural engineering and additive manufacturing. His projects include optimizing buildable structures for 3D concrete printing and designing high-performance shell lattices.

Zahra Montazeriمشاهده پروفایل

مدرس

• Computer Graphics
• Physics-based Rendering
• Material Modeling
• +۳ مورد دیگر

Zahra Montazeri is a Lecturer (Assistant Professor) in the Department of Computer Science at the University of Manchester. Her research focuses on physics-based computer graphics, particularly photorealistic rendering and appearance modeling for complex materials like cloth, hair, and fur. She holds a PhD in Computer Science from the University of California, Irvine (UCI), and has industry experience at Disney Research, WetaDigital, Industrial Light & Magic (ILM), Pixar, and Luxion. **Education:** PhD in Computer Science (UCI, 2015–2021) M.Sc. in Computer Science (UCI, 2015–2017) B.Sc. in Computer Engineering (Sharif University of Technology, Iran, 2010–2014) **Research Interests:** Zahra’s work bridges academic and industrial applications, emphasizing practical and efficient rendering techniques. Her key areas include physics-based rendering, material modeling for fabrics, and virtual reality optimizations like foveated rendering. She collaborates with industry leaders such as WetaDigital and has contributed to movies like The Mandalorian and Avatar: The Way of Water . **Articles Trends:** Recent work focuses on texture-free cloth rendering, dynamic BTF synthesis, and neural-based material models. Her research often addresses computational efficiency while maintaining photorealism, with applications in film, gaming, and VR. **Awards:** Best Paper Award at EGSR (2023) Best Visuals Award at EGSR (2023) UCI Doctral Fellowship (2015) LightSpeed Venture Partners Summer Fellowship (2016) **Advising & Grants:** Advises four PhD students and has one alumni (David Petrescu). Her group actively collaborates with industry and explores applied research in rendering and virtual environments. She serves on program committees for PG, EGSR, and I3D. **Labs/Teams:** Leads a research group at Manchester focused on graphics and virtual environments, with interdisciplinary projects in computer vision, AI, and material science.

Luiz ANET NETOمشاهده پروفایل

استاد

• Optical Communications
• Telecommunications Networks
• Fiber Optics
• +۷ مورد دیگر

Luiz ANET NETO is a Professor in the Département Optique at IMT Atlantique, a leading technological university within the Institut Mines-Télécom network. His research focuses on advanced optical communications, telecommunications networks, and network architecture innovations, particularly in areas like 5G integration, passive optical networks (PON), and software-defined networking (SDN). He has contributed extensively to optimizing high-speed data transmission systems, including work on wavelength-division multiplexing (WDM), cost-effective transceivers, and machine learning-driven network modeling. His projects often bridge theoretical advancements with practical implementations, addressing challenges in optical access networks, fiber optics, and mobile network convergence. Recent efforts emphasize reconfigurable architectures for bidirectional access networks and the integration of SDN for enhanced network flexibility and security. Key areas of research include: High-speed optical transmission systems (up to 200 Gbps) Optimizing PON technologies for 5G fronthaul/backhaul Machine learning applications in fiber optics and network modeling SDN-enabled network slicing for 5G environments His publications highlight trends in ultra-high-speed PONs, low-complexity decoding algorithms, and the synergy between optical and wireless systems. Collaborations often involve industry partners to ensure practical relevance, such as developing cost-effective 50G ONU solutions or analyzing real-time performance of optical access platforms. Despite no explicitly listed awards or students, his contributions are reflected in numerous peer-reviewed journals and conference proceedings.

• Aerospace Vehicle Design
• Multidisciplinary Design Optimization (MDO)
• Space Systems Engineering
• +۵ مورد دیگر

Prof. Qasim Zeeshan is a Professor in the Department of Mechanical Engineering at Eastern Mediterranean University, Faculty of Engineering. He holds a B.E. from NUST (Pakistan), and MS/PhD degrees in Flight Vehicle Design from Beihang University (China). With over 15 years of post-PhD experience in research and teaching, he specializes in Aerospace Vehicle Design, Multidisciplinary Design Optimization (MDO), Space Systems Engineering, and Industry 4.0. His teaching spans undergraduate and graduate courses in mechanical/aerospace engineering, including Space Systems Engineering, Manufacturing Systems, and Reliability Engineering. He is affiliated with research centers such as the Energy Research Center and Electric Vehicle Development Center. His research integrates machine learning, metaheuristic optimization, and composite materials analysis, with a focus on aerospace systems and smart manufacturing. He actively supervises graduate theses and serves as an associate editor and reviewer in academic journals. His recent work explores vibration analysis of composite structures, additive manufacturing advancements, and cloud-based manufacturing systems. He has contributed to over 50 peer-reviewed articles, emphasizing computational modeling, material characterization, and optimization algorithms. His expertise spans both theoretical and applied engineering, bridging mechanical systems, aerospace technologies, and Industry 4.0 innovations.

Jerome Mertzمشاهده پروفایل

استاد

• Biomedical Optics
• Microscopy Development
• Volumetric Imaging
• +۵ مورد دیگر

Jerome Mertz is a Professor in the Department of Biomedical Engineering at Boston University, where he leads the Biomicroscopy Lab developing novel optical techniques for biological imaging. His research focuses on advancing microscopy capabilities for deep tissue and high-speed applications. Research innovations include: Advanced volumetric imaging techniques for capturing dynamic biological processes Adaptive optical systems for aberration correction in complex media Novel approaches for imaging through scattering tissues including oblique back-illumination microscopy High-speed imaging technologies enabling kilohertz-rate voltage imaging in vivo Dr. Mertz has received significant recognition including the Aimeé-Cotton Prize (2002) and Fabry-de-Gramont Prize (2001). His recent publications (2024-2025) demonstrate strong focus on developing scattering microscopy techniques, voltage imaging in thick tissues, and super-resolution methods. Earlier work established foundations in adaptive optics and interferometric approaches. Current projects involve three-photon subcortical imaging, optical scan multiplier development, and HiLo microscopy enhancements. The Biomicroscopy Lab maintains active collaborations with neuroscience groups for in vivo applications.

• computational mechanics
• topology optimisation
• machine learning
• +۷ مورد دیگر

Dr. Chi Wu serves as a Lecturer in Mechanical Engineering at the University of Newcastle's School of Engineering. With a PhD from the University of Sydney (2022) and postdoctoral experience there (2023-2024), he has established himself as a rising researcher in computational mechanics and advanced manufacturing. His work bridges engineering principles with biomedical applications, particularly in the development of machine learning-driven approaches for material and structural optimization. Education: Doctor of Philosophy, University of Sydney Dr. Wu's research spans computational mechanics, topology optimization, machine learning, biomechanics, and advanced manufacturing, with particular emphasis on developing novel machine learning-based approaches for design optimization of advanced materials and structures. His work focuses on creating functionally graded tissue scaffolds, optimizing composite structures, and developing phase field models for fracture analysis. His research experience spans academia, industry, and clinical applications, demonstrating strong interdisciplinary connections. Analysis of Dr. Wu's publication record reveals a strong focus on integrating machine learning with additive manufacturing, particularly for biomedical applications. His work shows increasing sophistication in combining computational mechanics with experimental validation, with recent publications emphasizing time-dependent optimization and multi-scale modeling approaches. The trend indicates growing recognition of his work in both computational mechanics and biomedical engineering communities. Scientific Awards: Acta Journal Award (2023) Inaugural Grant Steven Award for Early Career Researchers (2023) Best Paper Award at the 12th International Conference on Structural Integrity and Failure (2021) Wiley Top Cited Article Award for 2020-2021 Best Paper Award at the 4th Australasian Conference on Computational Mechanics (2019) Dr. Wu actively recruits PhD students for research in mechanical, materials, and manufacturing engineering, with particular interest in candidates with computational mechanics and optimization backgrounds. He co-supervises students with Prof. Qing Li (ARC Future Fellow, Highly Cited Researcher) at the University of Sydney and Dr. Jianguang Fang (ARC Future Fellow) at the University of Technology Sydney. The University of Newcastle offers various scholarships, with additional support available for candidates from mainland China applying for the CSC scholarship. Dr. Wu maintains extensive collaborative networks across multiple institutions including Harvard University, Max Planck Institute, University of Exeter, Tohoku University, and several Australian universities and medical institutions including Chris O'Brien Lifehouse cancer hospital and industry partners like Cochlear Australia and Zimmer Biomet Australia.

Johnny Jakobsenمشاهده پروفایل

دانشیار

• Composite Materials
• Wind Turbine Engineering
• Structural Mechanics
• +۳ مورد دیگر

Johnny Jakobsen is an Associate Professor in the Department of Materials and Production at Aalborg University's Faculty of Engineering and Science. His research focuses on composite materials, wind turbine engineering, and structural mechanics, with a particular emphasis on failure phenomena in advanced composites and sandwich structures. He has contributed to projects addressing localized effects in sandwich components, automated composite manufacturing, and fatigue analysis. His work spans theoretical modeling, experimental validation, and industrial applications, including collaborations on optimizing draping processes for wind turbine blades and developing novel reinforcement methods for composite components. Jakobsen has authored or co-authored over 70 publications since 2005, with recent contributions focusing on automated manufacturing, composite reinforcement strategies, and material characterization under complex loading conditions. Notable projects include the Integrated Design and Processing of Lightweight Composite and Sandwich Structures and studies on peel stopper designs for sandwich beams. His research has been supported by industry partnerships and has led to patents, such as the Method of Manufacturing a Fibre Reinforced Composite Component . Jakobsen also serves on academic review committees and has been featured in media for contributions to structural engineering advancements.

Dong Linمشاهده پروفایل

دانشیار

• 3D Printing
• Additive Manufacturing
• Aerogel Materials
• +۳ مورد دیگر

Dong Lin is an Associate Professor in the Mechanical, Industrial, and Manufacturing Engineering Department at Oregon State University's College of Engineering. His research focuses on bio-inspired 3D printing of functional materials, particularly aerogels and composite structures. Lin pioneered the 3D printing of graphene aerogels, earning a Guinness World Record for the world's lightest material (0.5 mg/cm³) in 2018. His work has been featured in over 136,000 online platforms and top journals like Advanced Materials and Nature Communications . Lin holds a Ph.D. from Purdue University (2013), M.S. degrees from the University of Nebraska-Lincoln (2009) and Huazhong University of Science & Technology (2007), and a B.S. from Harbin Institute of Technology (2004). His research interests include additive manufacturing of metal composites, carbon fiber-reinforced polymers, and functional materials for energy storage and biomedical applications. Lin has secured funding from NSF, Army, NASA, USDA, and industry partners. He serves as Associate Editor of the Journal of Manufacturing Processes and has received the NSF CAREER Award and ASME's Chao and Trigger Young Manufacturing Engineer Award. Notable achievements include over 78 peer-reviewed publications, participation in the NAE EU-U.S. Frontiers of Engineering Symposium (2021), and awards for both research and teaching excellence. His lab focuses on advancing sustainable manufacturing technologies through innovative material design and process optimization.

• Structural Engineering
• Mechanics of Solids and Structures
• Civil Engineering
• +۱۷ مورد دیگر

Bernardino Chiaia is a Full Professor in the Department of Structural, Geotechnical and Building Engineering (DISEG) at the Polytechnic University of Turin, where he has been a central figure in structural engineering research and education since 1995. He holds a PhD in Structural Engineering and has served in various leadership roles, including Vice-Rettore (Vice-Rector) for Education and Dean of Engineering at UNINETTUNO. His research is focused on structural safety, sustainable materials, and infrastructure resilience, with strong ties to industry and public institutions through numerous funded projects. His research interests include structural mechanics, fiber-reinforced and recycled concrete, seismic safety, avalanche protection, tunnel engineering, and digital asset management. He has pioneered work on eco-mechanical indices for concrete and robustness-oriented design of structures. His work bridges theoretical mechanics with practical engineering applications, particularly in the context of aging infrastructure and climate resilience. His recent publications reflect a strong trend toward digitalization and sustainability in civil engineering, with a focus on avalanche risk modeling, tunnel digital twins, blockchain for asset tracking, and statistical analysis of bridge collapses. These works demonstrate a shift from material-level studies to system-level resilience and data-driven infrastructure management. ACI Wason Medal for Material Research (2013) Chiaia has supervised numerous PhD students and serves on the PhD collegia for Civil and Environmental Engineering at Politecnico di Torino. He has led major research grants funded by national (PRIN, PNRR), European (Interreg), and corporate sources (Autostrade per l’Italia, TELT, CEMEX). His collaborative work includes partnerships with MIT, Imperial College, and Delft University. He also contributes to policy through expert evaluations for MIUR, the European Commission, and international research panels. He leads the Interdepartmental Center SISCON (Safety of Infrastructures and Constructions) and coordinates research agreements with ReLUIS, Autostrade per l’Italia, and the Department of Civil Protection. His work on infrastructure monitoring, digital twins, and risk dashboards underscores his role in advancing smart, resilient civil systems.

• Optics
• Photonics
• Quantum Materials
• +۳ مورد دیگر

Maria Dolores Mouriz Cereijo is a Professor at the University of Santiago de Compostela, affiliated with the Department of Applied Physics within the Faculty of Optics and Optometry. She is part of the Strategic Grouping in Materials (AEMAT) and leads the QMatterPhotonics Quantum Materials and Photonics Group. Her doctoral thesis (1993) focused on "Design of holograms generated by computer to obtain arbitrary focal curves," advised by Dr. Salvador Bará Viñas and Dr. Zbigniew Jaroszewicz. Her research interests span quantum materials, photonics, optical communications, and advanced optical systems. Notable contributions include interferometric spatial mode multiplexers for few-mode fibers, imaging spectrometer calibration techniques, and studies on spherical diffraction gratings. Her work emphasizes precision metrology and optical system optimization. Publications highlight innovations in interferometry (e.g., zone plate-based axial measurements), imaging spectrometer design, and polarization-insensitive optical components. She actively collaborates on projects involving diffraction grating applications and optical fiber technologies. Labs/Teams: QMatterPhotonics Group, AEMAT Strategic Group Grants & Funding: Details unspecified in provided texts

• Structural Health Monitoring (SHM)
• Composite Materials
• Fatigue Analysis
• +۹ مورد دیگر

Zahra Sharif Khodaei is a Professor in Aerospace Structural Durability and Health Monitoring at Imperial College London's Department of Aeronautics within the Faculty of Engineering. She earned her PhD in numerical modelling of functionally graded materials from Czech Technical University in 2008. Her professional experience includes a research associate role at Imperial College from 2009 before transitioning to a lectureship in 2014. Professor Khodaei holds prestigious fellowships from the Royal Aeronautical Society and Women in Engineering Society. Her research focuses on advanced structural health monitoring (SHM) techniques for aerospace composites, including fatigue analysis, damage detection via guided waves, and integration of physics-informed machine learning. Key areas include development of wireless sensor solutions, probabilistic frameworks for impact localization, and optimization of sensor networks for large composite structures. She also explores metamaterials, fiber optic sensing systems, and reliability analysis under environmental variations. Expertise: SHM, composite materials, fatigue analysis, neural networks, guided wave techniques Affiliations: Aerospace Materials and Structures, Space Engineering, Structural Integrity and Health Monitoring, The Composites Centre Recent work emphasizes baseline-free damage detection methods, probabilistic impact localization, and multi-objective sensor path optimization. Her publications span structural simulations, material characterization under extreme conditions, and hybrid sensor systems for aerospace applications. Scientific Awards: Fellow of Royal Aeronautical Society, Fellow of Women in Engineering Society Current research includes development of digital clone platforms for SHM system testing under uncertainty, vibration-based offshore wind turbine monitoring, and 3D-printed flexible strain sensors. She also investigates automated crack growth quantification using neural networks and temperature compensation frameworks for guided wave systems in large composites.

Tony Dearمشاهده پروفایل

مدرس ارشد

• Robotics
• Reinforcement Learning
• Geometric Mechanics
• +۳ مورد دیگر

Tony Dear is a Senior Lecturer in the Computer Science Department at Columbia University, affiliated with the School of Engineering and Applied Science (SEAS). He serves as faculty director for the CS@CU Bridge to MS Program and the online Artificial Intelligence executive education program. His teaching focuses on courses like Discrete Mathematics (COMS 3203) and Artificial Intelligence (COMS 4701), emphasizing computational problem-solving and theoretical foundations. Dear holds a B.S. from UC Berkeley (2012), and M.S. and Ph.D. from Carnegie Mellon University's Robotics Institute (2015/2018). His research integrates geometric mechanics and reinforcement learning to advance robot locomotion, particularly in underactuated systems and swimming robots. Recent work explores symmetry exploitation to accelerate learning and reduce computational demands. He advises students on independent projects ranging from reinforcement learning applications to robotics education development. Notable contributions include launching a Coursera course on Decision Making and Reinforcement Learning (2023). Dear has advised Columbia Space Initiative’s NASA Robotics Challenge team (2020) and ADI Labs (2019). His teaching philosophy prioritizes student-driven projects and pedagogical innovation, supported by Columbia’s Center for Teaching and Learning. He emphasizes the importance of STEM education scalability and accessibility through online platforms and executive training programs.

Behnam Sobhaniaraghمشاهده پروفایل

استادیار

• Computational Mechanics
• Solid Mechanics
• Fracture Mechanics
• +۱۲ مورد دیگر

Dr Behnam Sobhaniaragh is a Lecturer (Assistant Professor) in Mechanical Engineering at Teesside University, affiliated with the School of Computing, Engineering and Digital Technologies. He holds a PhD from Ghent University and a DSc from UFRJ, Brazil, and is a Chartered Engineer (CEng) with IMechE and a Fellow of the Higher Education Academy (FHEA). PhD in Electro-Mechanical Engineering, Ghent University, Belgium Doctorate of Science (DSc) in Computational Mechanics, Federal University of Rio de Janeiro (UFRJ), Brazil Bachelor’s and Master’s degrees inferred from academic trajectory in Mechanical/Electro-Mechanical Engineering His research focuses on computational mechanics of lightweight and sustainable materials, with expertise in fracture mechanics , phase-field modeling , hydrogen embrittlement , and multifunctional materials . He investigates material behavior under multiphysics conditions, contributing to Net Zero goals through advanced modeling of structural integrity and degradation. His work bridges solid mechanics, materials science, and physics, emphasizing durability and efficiency. The analysis of his recent publications reveals a strong trend in phase-field modeling of fracture , functionally graded and nanocomposite materials , thermo-mechanical coupling , and sustainable material systems . His research integrates finite element methods, micromechanical modeling, and data-driven approaches to simulate crack propagation, stability, and performance in advanced engineering materials, particularly under extreme or coupled environmental conditions. His scientific recognition includes: Fellow of the Higher Education Academy (FHEA) Chartered Engineer (CEng), Institution of Mechanical Engineers (IMechE) Recipient of the prestigious FAPESP postdoctoral fellowship in Brazil Best DSc Thesis Award in the Department of Civil Engineering, UFRJ Dr Sobhaniaragh actively supervises MSc and BEng final year projects and is accepting PhD students. He leads the research project Microstructural Integrity of Shape Memory Alloys used in Elastocaloric Refrigeration , funded by the Newton Fund. He serves as a guest editor for special issues on Programmable Metamaterials and Phase-Field Modeling , and is a reviewer for over 20 international journals including Computer Methods in Applied Mechanics and Engineering and Engineering Fracture Mechanics . He contributes to academic leadership as Module Leader for Machine Design , Continuum Mechanics , and Aircraft Structures , and as tutor for several core engineering modules. His research group focuses on computational modeling of material degradation and smart structures, collaborating internationally with institutions in Germany, Brazil, and the UK.

Irina Markinaمشاهده پروفایل

استاد

• Sub-Riemannian Geometry
• Sub-Lorentzian Geometry
• Partial Differential Equations (PDE)
• +۵ مورد دیگر

Irina Markina is a Professor at the Department of Mathematics, University of Bergen. Her research focuses on Sub-Riemannian and Sub-Lorentzian geometry, Partial Differential Equations (PDEs), and geometric analysis. She has contributed to studies on geometric control theory, Lie groups, and their applications in physics and mathematical physics. Her work spans theoretical frameworks like the analysis of measure-preserving diffeomorphism groups, Stokes graphs in the Rabi problem, and harmonic maps into sub-Riemannian Lie groups. She has led the NordForsk Research Network 'Analysis and Applications', promoting Nordic collaboration in analysis. Key research areas include ultra-hyperbolic operators on pseudo H-type groups, classification of pseudo H-type algebras, and geometric problems on Stiefel/Grassmann manifolds. Her grants include funding from NordForsk, Norwegian Research Council, and Chilean agencies. She has supervised doctoral theses, including those by Anastasia Frolova and Mauricio Godoy Molina.