جست‌وجوی استاد و پژوهشگر

• Photonics
• Optoelectronics
• Semiconductor Devices
• +۷ مورد دیگر

Lynford L Goddard is a Professor at the University of Illinois at Urbana-Champaign , affiliated with the Grainger College of Engineering and the Department of Electrical and Computer Engineering . He serves as Associate Dean for Diversity, Equity, and Inclusion and previously directed the Institute for Inclusion, Diversity, Equity, and Access. His work bridges photonics, semiconductor devices, and nanofabrication with applications in sensing, metrology, and data processing. Education: PhD in Physics with minor in Mathematics, Stanford University (2005) His research interests focus on photonic systems for sensing and computation. The Photonic Systems Laboratory develops advanced fabrication techniques for lithium niobate modulators , 3D photonic integrated circuits , and gradient index optics , with applications in hydrogen detection , CO2 sensing , and optical metrology . Recent work explores volumetric photonic integration and machine learning applications in nanophotonics. Key publication trends span photonics-based sensing , high-precision metrology , and novel fabrication methods , emphasizing thin-film lithium niobate and 3D photonic structures . His awards include Presidential Early Career Award (PECASE) NSF CAREER Award OSA and SPIE Fellowships IEEE Senior Member As an educator , he has received multiple teaching recognitions and leads courses like ECE 329: Fields and Waves I . His patents cover innovations in photochemical etching , photonic nanojets , and 3D optical integration . Current projects include SCRIBE technology for micro-printing and DEI initiatives through the IDEA Institute.

Mustapha C.E. Yagoubمشاهده پروفایل

استاد

• RF/Microwave Circuit Design
• RFID Systems
• Antenna Design
• +۵ مورد دیگر

Mustapha C.E. Yagoub is a Full Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, with over 500 publications in RF/microwave CAD, RFID systems, neural networks, and applied electromagnetics. He leads research in the ELEMENT Laboratory and RFM Research Group , focusing on wireless communication systems and nonlinear device modeling. PhD in Electronics (Institut National Polytechnique de Toulouse, 1994) Magister in Telecommunications (École Nationale Polytechnique d'Alger, 1987) Dipl.-Ing. in Electronics (École Nationale Polytechnique d'Alger, 1979) His research bridges Microwave Circuit Design with Artificial Intelligence , including applications in Energy Conservation and Telecommunication Systems . Key trends in his publications include hybrid modeling techniques combining Neural Networks with Computational Electromagnetics for optimizing Antenna Design and RF Components . He is a Senior Member of IEEE and licensed with the Professional Engineers of Ontario and Ordre des Ingénieurs du Québec . His lab teams focus on High-Tc Superconducting Devices and Directional Antenna Optimization for RFID networks.

Colby C. Swanمشاهده پروفایل

استاد

• Computational Mechanics
• Topology Optimization
• Biomechanics
• +۳ مورد دیگر

Colby C. Swan is a Professor in the Department of Civil and Environmental Engineering at the University of Iowa's College of Engineering, where he has been a faculty member since 1993. He leads the Swan Research Lab and maintains active memberships in ASCE, ASME, ISSMO, and USACM, contributing to computational mechanics and digital human modeling research. His educational background includes a PhD in Civil Engineering from Princeton University (1993), an MS in Ocean Engineering from the University of Miami (1985), and a BS in Civil Engineering from the University of Maine (1983). Professor Swan's research spans Computational Mechanics , Topology Optimization , and Biomechanics , with pioneering work on multi-scale computational clothing models for digital humans and structural topology optimization of compliant mechanisms. His lab develops physics-based simulation frameworks for applications in civil infrastructure, protective clothing design, and bone adaptation phenomena, integrating advanced computational methods with real-world engineering challenges. His publication trends reveal a sustained focus on digital human modeling (notably the Santos virtual human environment) and topology optimization, with significant contributions to continuum structural optimization, woven fabric mechanics, and human locomotion analysis. Recent work emphasizes virtual prototyping for protective systems and computational morphogenesis for structural design. American Society of Civil Engineers (ASCE) American Society of Mechanical Engineers (ASME) The Fiber Society International Society for Structural & Multidisciplinary Optimization (ISSMO) United States Association for Computational Mechanics (USACM) Professor Swan directs the Swan Research Lab, which collaborates on interdisciplinary projects involving computational modeling for engineering design and human performance analysis. His work bridges civil engineering with biomechanics through digital human simulation, particularly in protective gear development and structural optimization applications.

Dragoljub J. Kecskicمشاهده پروفایل

استاد

• Operator Theory
• C*-algebras
• Fixed Point Theory
• +۳ مورد دیگر

Dragoljub J. Kecskic is a Full Professor at the Department of Mathematical Analysis, Faculty of Mathematics, University of Belgrade . He has held this position since 2019, following progressive academic appointments from trainee assistant (1995–1999) to associate professor (2013). His research focuses on Operator Theory on Hilbert Spaces , C*-algebras , and related subfields. Education: BSc in Theoretical Mathematics and Applications (1995, University of Belgrade) MSc in Elementary Mappings on Operator Ideals (1998) PhD in Elementary Operator Kernels and Images (2003) His research interests span operator theory, functional analysis, fixed point theory, and integral transforms. Key areas include orthogonality in operator spaces, elementary operator structures, and applications of fixed point theorems in mathematical analysis. The 15 most recent articles highlight a sustained focus on operator algebras (2023: C*-algebra orthographs; 2018: compact operators), fixed point theory (2012: symmetric spaces; 2010: quasi-contraction counterexamples), and functional inequalities (2019: noncompactness measures; 2005: Gateaux derivatives). Collaborations with Z. Lazović, I. Aranđelović, and S. Stefanović are prominent. No scientific awards or grants are explicitly mentioned in the provided texts.

• Fluid structure interaction
• Calculus of Variations
• Partial differential equations
• +۱ مورد دیگر

Malte Laurens Kampschulte serves as Assistant Professor at the Department of Mathematical Analysis, Faculty of Mathematics and Physics, Charles University in Prague. He leads research within S. Schwarzacher's fluid structure interaction group and the OP JAK project FerrMion, following his role as Substitute Professor at the University of Leipzig during Summer 2024. His academic credentials include: B.Sc in Mathematics (2009) and Computer Science (2010) from RWTH Aachen M.Sc in Mathematics (2012) from RWTH Aachen Ph.D. in Mathematics (2018) with thesis "Gradient flows and a generalized Wasserstein distance in the space of Cartesian currents" Dr. Kampschulte's research centers on fluid structure interaction, calculus of variations, partial differential equations, and geometric measure theory. His work examines variational aspects of Eulerian-Lagrangian frameworks, relaxation methods for generalized solutions, topological invariants in PDEs, and current transport on manifolds. This integrated approach bridges theoretical analysis with physical applications in continuum mechanics. Analysis of his 2023-2024 publications reveals concentrated focus on three-dimensional fluid-structure systems with viscoelastic solids, compressible fluids, and self-collision phenomena. Key contributions include global weak solution frameworks for contact problems, variational approaches to hyperbolic evolutions, and regularity analysis for free surface dynamics—demonstrating both mathematical rigor and physical relevance. As Principal Investigator for the PRIMUS grant "Qualitative and quantitative Analysis for non-linear non-uniformly elliptic models" (previously held by Anna Balci), he oversees active research funding while mentoring through an open PostDoc position. His leadership extends to the FerrMion project where he develops mathematical frameworks for fluid-matter interactions. Based in the Department of Mathematical Analysis at Charles University, Dr. Kampschulte collaborates within S. Schwarzacher's research group to advance mathematical understanding of fluid-structure systems through both theoretical innovation and computational modeling.

Ryozo Nagamuneمشاهده پروفایل

استاد

• Control Engineering
• Control of floating offshore wind turbines and wind farms
• Control of integrated solar thermal systems
• +۶ مورد دیگر

Ryozo Nagamune is a Professor in the Department of Mechanical Engineering within the Faculty of Applied Science at the University of British Columbia (UBC). His research focuses on control engineering with specific expertise in floating offshore wind turbines, integrated solar thermal systems, and metal additive manufacturing processes. He maintains active collaborations with NSERC, MITACS, and industry partners including Ascent Systems Technologies. Dr. Nagamune received his B.Sc. and M.Sc. degrees from Osaka University, followed by a Ph.D. from the Royal Institute of Technology in Stockholm, Sweden. His educational background laid the foundation for his expertise in control systems theory and applications. His primary research interests center on control engineering, with particular emphasis on the control of floating offshore wind turbines and wind farms, integrated solar thermal systems, directed energy deposition metal additive manufacturing processes, engine aftertreatment systems, and data-driven modeling and control of dynamical systems. His work addresses critical challenges in renewable energy, manufacturing, and automotive applications, focusing on optimization, robustness, and efficiency improvements. The research spans theoretical developments in control algorithms to practical implementation in real-world systems. Analysis of Dr. Nagamune's recent publications reveals a strong focus on floating offshore wind turbine control, which constitutes approximately 40% of his recent work. Another significant portion (30%) addresses automotive control systems, particularly selective catalytic reduction for emissions control. The remaining publications cover diverse applications including haptic interfaces, spacecraft control, and precision manufacturing systems. His research demonstrates a consistent pattern of applying advanced control methodologies to solve practical engineering problems across multiple domains. Dr. Nagamune leads the Control Engineering Laboratory at UBC (located in KAIS 3104) and actively seeks collaborations with industry partners, research clusters, and interdisciplinary teams. His research is supported by major funding agencies including NSERC and MITACS, as well as industry partnerships. He is available for supervision of graduate students and expresses interest in working with undergraduate students on research projects. Dr. Nagamune welcomes interdisciplinary research opportunities and is particularly interested in collaborations that bridge multiple engineering domains.

Feng Chenمشاهده پروفایل

دانشیار

• Nonparametric and semiparametric statistics
• Point processes and self-exciting processes
• Statistical computing
• +۳ مورد دیگر

Associate Professor Feng Chen is a faculty member at the School of Mathematics & Statistics, University of New South Wales, specializing in statistical methodology development and applications. His research bridges theoretical statistics and practical implementations across financial modeling, spatiotemporal processes, and public health analysis. PhD in Statistics from University of Hong Kong (2008) MSc in Applied Probability & Statistics from Lanzhou University (2004) BSc in Mathematics from Lanzhou University (2001) Research focuses include: Nonparametric and semiparametric statistical methods Point process modeling with emphasis on Hawkes processes Statistical computing and algorithm development Applications to financial data, earthquake analysis, and public health Recent publications demonstrate methodological advances in: Hawkes process estimation with complex data structures Renewal process applications in seismology GARCH modeling with missing data Spatiotemporal clustering analysis Scientific recognition includes: UNSW Science Staff Impact Award (2023) Professional roles: Director of Research Postgraduate Studies (2023--) Associate Editor for multiple journals Statistics Honours Coordinator (2013-2018) Active participant in statistical societies

• Electromagnetics
• Geophysical Remote Sensing
• Engineered Electromagnetic Materials
• +۵ مورد دیگر

Dr. Steven Cummer is the William H. Younger Distinguished Professor of Engineering and Associate Chair of Faculty Affairs in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He is also recognized as a Bass Fellow at Duke University. Dr. Cummer received his educational foundation at Stanford University, earning his B.S.E.E. in 1991, M.S.E.E. in 1993, and Ph.D. in Electrical Engineering in 1997. After completing his doctorate, he spent two years at NASA Goddard Space Flight Center as an NRC postdoctoral research associate before joining Duke University in 1999. B.S.E.E. Stanford University, 1991 M.S.E.E. Stanford University, 1993 Ph.D. Stanford University, 1997 Dr. Cummer's research focuses on theoretical and experimental electromagnetic problems related to geophysical remote sensing and engineered electromagnetic materials. His work spans multiple disciplines, including lightning physics, terrestrial gamma-ray flashes, acoustic metamaterials, and transformation optics. He has made significant contributions to understanding the connection between lightning discharges and high-energy atmospheric phenomena, particularly terrestrial gamma-ray flashes (TGFs). His research in acoustic metamaterials has pioneered new approaches to sound manipulation and control, with applications in medical imaging, underwater acoustics, and noise control. Analysis of Dr. Cummer's recent publications shows a continued focus on atmospheric electricity phenomena, particularly lightning and terrestrial gamma-ray flashes, while simultaneously advancing the field of acoustic metamaterials. His work integrates experimental observations with theoretical modeling, often using sophisticated radio frequency and optical measurement techniques. The interdisciplinary nature of his research bridges electrical engineering, atmospheric science, and physics. Dr. Cummer has received numerous prestigious awards for his research contributions: National Science Foundation CAREER award (2001) Presidential Early Career Award for Scientists and Engineers (PECASE) (2001) Fellow of the Institute for Electrical and Electronics Engineers (2011) Stansell Family Distinguished Research Award from the Pratt School of Engineering (2018) As an educator, Dr. Cummer has taught a range of courses in electrical and computer engineering, including Fields and Waves, Waves in Matter, and various project-based courses. His research group has been consistently supported by grants from the National Science Foundation and other agencies, enabling both fundamental research and student training. Dr. Cummer has mentored numerous graduate students who have gone on to successful careers in academia and industry. Dr. Cummer leads a research laboratory that combines experimental and theoretical approaches to study electromagnetic phenomena. His team utilizes sophisticated radio frequency measurement systems, optical instrumentation, and computational modeling to investigate lightning physics, atmospheric electricity, and acoustic metamaterials. Recent field campaigns have included airborne observations of gamma-ray emissions from thunderstorms.

Vladimir Sverakمشاهده پروفایل

استاد

• Partial Differential Equations
• Navier-Stokes Equations
• Fluid Mechanics
• +۳ مورد دیگر

Vladimir Sverak serves as a Distinguished McKnight University Professor in the School of Mathematics at the University of Minnesota, where he maintains an active research program and teaches graduate courses in partial differential equations. His office is located in Vincent Hall 236 (206 Church Street SE, Minneapolis, MN 55455) with contact details including email sverak@umn.edu and phone (612) 625-1899. As of 2020, he continues to instruct courses such as Complex Analysis (Math 5583) and Topics in PDE (Math 8590), demonstrating ongoing academic engagement. Professor Sverak's research centers on fundamental questions in partial differential equations, particularly concerning existence, uniqueness, and singularity formation in fluid dynamics systems. His work focuses extensively on Navier-Stokes and Euler equations, examining behavior in critical function spaces where standard analytical methods often fail. He employs both rigorous mathematical techniques and numerical investigations to explore phenomena like non-uniqueness, blowup scenarios, and scale-invariant solutions, contributing significantly to the theoretical understanding of fluid mechanics. Analysis of his 15 most recent publications (2012-2017) reveals consistent thematic focus on Navier-Stokes equations, with particular attention to borderline spaces, axisymmetric flows, and singularity analysis. His collaborative approach is evident through frequent co-authorships with leading researchers including G. Seregin, H. Jia, and T. Gallay, reflecting the interdisciplinary nature of modern mathematical fluid dynamics research. His scientific recognition includes: Distinguished McKnight University Professor Research support comes from the National Science Foundation (grant DMS 1956092), while his teaching contributions span both foundational and advanced topics. Course materials for offerings like Elementary Partial Differential Equations (Math 5587/5588) and Introduction to Ordinary Differential Equations (Math 5525) remain accessible through university platforms, demonstrating commitment to pedagogical resources. Though student advising details aren't specified, his graduate-level course instruction indicates active mentorship within the mathematics community. Professor Sverak's work continues to advance mathematical fluid dynamics through rigorous analysis of nonlinear PDEs, maintaining strong connections between theoretical developments and physical fluid behavior while contributing to both research and education in mathematical sciences.

• Functional Analysis
• Fixed Point Theory
• Nonlinear Analysis
• +۳ مورد دیگر

Dr Walter Wojciech M. Kozlowski is an Adjunct Associate Professor at the School of Mathematics and Statistics of the University of New South Wales . He has been actively engaged in research in functional analysis, fixed point theory, and their applications since the 1980s. Additionally, he is a professional in Information and Communication Technology, serving as Head of Architecture at Telstra Network Cloud and elected Technology Co-Lead of the Common NFVI Telco Taskforce (CNTT) in 2019. Research Interests: Dr Kozlowski specializes in functional analysis , fixed point theory , and modular function spaces . His work explores the convergence of iterative processes, nonlinear operator theory, and applications in Banach spaces. Recent Publications: His 2024 studies focus on implicit iterative processes, modular versions of fixed point theorems, and convergence analysis. Earlier works (2013-2017) examine nonlinear differential equations, pointwise Lipschitzian mappings, and common fixed points in modular spaces. Scientific Awards: Fulbright Scholar

Xinyu Jiaمشاهده پروفایل

پژوهشگر ارشد

• Uncertainty Quantification
• Structural Reliability
• Risk Assessment
• +۳ مورد دیگر

Xinyu Jia is currently a Humboldt Research Fellow at the Engineering Risk Analysis Group, Technical University of Munich since June 2024, and concurrently serves as Associate Professor in the Department of Mechanical Engineering at Hebei University of Technology, China since October 2022. Her research focuses on advancing uncertainty quantification, structural reliability, and risk assessment methodologies for engineering systems. Her academic background includes: PhD in Mechanical Engineering, University of Thessaly, Greece (2018-2021) Bachelor of Engineering and Master of Science in Mechanical Engineering, Hunan University, China (2011-2018) Dr. Jia specializes in Bayesian learning frameworks for physics-based models, with particular expertise in uncertainty propagation in structural dynamics and industrial robotics applications. Her work develops hierarchical Bayesian approaches that integrate multi-level data to enhance predictive accuracy for complex engineering systems, addressing critical challenges in structural health monitoring and risk-informed decision making. Analysis of her 2022-2023 publications reveals a concentrated research trajectory in applying Bayesian inference to structural dynamics, with emphasis on hierarchical modeling techniques, variational inference schemes, and nonlinear model updating. These contributions predominantly appear in top-tier mechanical engineering journals, demonstrating methodological innovations that bridge theoretical statistics with practical engineering reliability problems. Her scientific recognition includes: Humboldt Research Fellowship (2023) Marie Curie Early Stage Researcher Fellowship (2018) No specific student advisement records are documented, though her Associate Professor role implies teaching responsibilities. Her fellowship awards represent significant research funding supporting her work in uncertainty quantification. As an active member of TUM's Engineering Risk Analysis Group, she contributes to high-impact projects including digital twins for ships, S3UQDyn, Navigating Risk, and infrastructure resilience initiatives like BIG-ROHU and INFRA.RELEARN, focusing on probabilistic risk modeling across civil and mechanical engineering domains.

• Coastal hydrodynamics
• Sediment transport
• Morphological changes
• +۴ مورد دیگر

Suzana Ilic is a Senior Lecturer at the Lancaster Environment Centre, Lancaster University, specializing in coastal processes and management. Her research focuses on understanding coastal hydrodynamics, sediment transport, and morphological changes along coastlines. She develops practical tools for coastal managers to predict future changes, addressing complex challenges of coastal structures' influence on natural systems including shoreline evolution, water quality, and habitat preservation. Dr. Ilic's research interests center on coastal hydrodynamics and sediment transport processes, with emphasis on developing predictive tools for coastal management. Her work aligns with major environmental initiatives including the Foresight programme on coastal flooding and erosion, Water Framework directives, and offshore sustainable energy development. She employs integrated methodologies combining field monitoring, numerical modeling, and community engagement to address contemporary coastal challenges. Her recent publications demonstrate a strong focus on coastal morphodynamics, with increasing attention to interdisciplinary approaches connecting physical processes with social dimensions of coastal management. The research spans multiple geographical contexts including the UK's Holderness coast and Morecambe Bay, as well as international sites like Croatia, reflecting her global perspective on coastal challenges. Dr. Ilic actively supervises PhD students including Juan Montalvan Lume and leads significant research projects such as NERCOUTE Inclusive Natural Environment Futures (2025-2026) and Adaptation Pathways (2025-2026). Her professional engagement extends to the North West Regional Flood and Coastal Committee and various workshops, demonstrating her commitment to translating research into practical coastal management solutions.

Christer B. Aakeröyمشاهده پروفایل

استاد

• Crystal Engineering
• Supramolecular Chemistry
• Pharmaceutical Solid-State Chemistry
• +۵ مورد دیگر

Professor Christer B. Aakeröy is the Taylor Chair University Distinguished Professor in the Department of Chemistry at Kansas State University. He has served as Head of the Department and has been at K-State since 1996. His research focuses on crystal engineering, supramolecular chemistry, and pharmaceutical solid-state properties. M.Sc., Uppsala University, Sweden (1985) D.Phil., University of Sussex, UK (1990) Dr. Aakeröy’s research explores non-covalent interactions in crystal engineering to design functional solid-state materials. His work leverages hydrogen and halogen bonding to assemble APIs into co-crystals, enhancing solubility and stability for pharmaceutical applications. He also investigates supramolecular architectures for nonlinear optical materials and mechanochemical synthesis methods. Recent publications highlight his focus on halogen bond donor preferences, chalcogen bonding, and computational tools for co-crystal design. His group’s work spans from fundamental crystal engineering to applied pharmaceutical solutions. Higuchi Award (2016) British Crystallographic Association Prize Lecture (2016) Presidential Award for Outstanding Undergraduate Teaching (2011) Making a Difference Award (2006) Segebrecht Distinguished Faculty Achievement Award (2003) His research group includes graduate and undergraduate researchers, and he has contributed to international scientific boards, including the Cambridge Crystallographic Data Centre. Collaborations, such as with Dr. Silvia Giordani, explore photochromic spiropyrans for chemosensory devices.

• Optimization
• Convex Analysis
• Nonlinear Analysis
• +۳ مورد دیگر

Radu Ioan Bot is a Professor and Dean of the Faculty of Mathematics at the University of Vienna, where he also serves as Head of the Department of Mathematics. His primary affiliations include the Department of Mathematics (Oskar-Morgenstern-Platz 1, 1090 Wien) and the Research Network Data Science (Währinger Straße 29, 1090 Wien). Bot's research centers on optimization theory with emphasis on convex/nonconvex optimization, monotone operators, and dynamical systems. He develops fast algorithms for variational inequalities and monotone inclusions by bridging continuous-time dynamics with discrete optimization methods. His work frequently addresses bilevel optimization, Tikhonov regularization, and second-order dynamics, yielding accelerated convergence rates for complex problems. Analysis of his 15 most recent publications (2023-2025) reveals dominant trends in time-scaling techniques, vanishing damping dynamics, and structured splitting methods. Key contributions include unifying Nesterov acceleration with Heavy Ball dynamics, developing reflected forward-backward algorithms for constrained optimization, and establishing strong convergence guarantees for monotone operator flows. These advances demonstrate consistent innovation in accelerating optimization while maintaining theoretical rigor. No scientific awards were mentioned in the provided source material. Details regarding student advising and research grants were not specified in the available information, though his leadership roles as Dean and Department Head indicate significant administrative responsibilities alongside active research. Bot participates in the University of Vienna's Research Network Data Science, suggesting interdisciplinary engagement in data-driven methodologies with potential applications in machine learning and computational mathematics.

Shulei Zhangمشاهده پروفایل

استادیار

• Theoretical Condensed Matter Physics
• Magnetism
• Topological Quantum Materials
• +۵ مورد دیگر

Shulei Zhang is an Assistant Professor in the Department of Physics at Case Western Reserve University's College of Arts and Sciences. He earned his Ph.D. from the University of Arizona in 2014 and specializes in theoretical condensed matter physics. His research investigates spin-charge transport in topological materials, magnetization dynamics, and quantum phenomena in magnetic systems. Research Focus Professor Zhang's group studies: Coupled spin/charge transport in topological quantum materials (e.g., insulators/semimetals) Magnetotransport in hybrid magnetic-organic-oxide structures Skyrmion dynamics and topological Hall effects Chiral magnetoplasmons arising from Berry phase phenomena Magnon transport in ferromagnetic/antiferromagnetic heterostructures This work aims to enable advances in spin-based electronics and quantum computation. Collaborations and Group He maintains active partnerships with the CATS Center (DOE Energy Frontier Research Center), Argonne National Laboratory, National University of Singapore, University of Tokyo, Fudan University, and other global institutions. His laboratory welcomes undergraduate/graduate students and postdoctoral researchers interested in condensed matter theory.