جستجوی استاد راهنمای دانشگاهی

David Wandsمشاهده پروفایل

استاد

• Theoretical Cosmology
• Inflationary Cosmology
• Early Universe Physics
• +۵ مورد دیگر

David Wands is a Professor of Cosmology at the University of Portsmouth, affiliated with the Faculty of Technology and the Institute of Cosmology and Gravitation (ICG). His research focuses on theoretical cosmology, particularly the physics of the early universe, primordial perturbations, gravitational waves, and dark energy. He has held leadership roles, including Director of the ICG from 2010 to 2020. Wands earned his DPhil in astrophysics from the University of Sussex in 1993 and has been a Royal Society University Research Fellow. He is a Fellow of the Royal Astronomical Society and the Institute of Physics. His work bridges fundamental physics with observational cosmology, including contributions to the study of inflation, large-scale structure formation, and gravitational-wave signatures. Wands has published over 150 papers and organized major conferences like the 30th Texas Symposium on Relativistic Astrophysics. He teaches advanced cosmology modules and contributes to editorial roles in prestigious journals, such as the Philosophical Transactions of the Royal Society A. Education: Bachelor's in Natural Sciences (Physics) and Mathematics at the University of Cambridge DPhil in Astrophysics at the University of Sussex (1993) Key Roles: Board Member, Gravitational Physics Division, European Physical Society Member, Particle Data Group collaboration Research Highlights: Primordial black hole formation and gravitational-wave detection Stochastic inflation models and quantum diffusion Non-linear cosmological perturbations and relativistic effects His research outputs span interdisciplinary topics such as modified gravity predictions using N-body simulations, CMB constraints on inflationary parameters, and applications of artificial neural networks in cosmology. Awards include the Daiwa-Adrian Prize for UK-Japan collaboration (2010).

• Biochemistry
• Structural Biology
• Molecular Biophysics
• +۴ مورد دیگر

Alessandra Pesce is an Associate Professor at the Department of Physics (DIFI) of the University of Genoa, Italy. Her research focuses on structural biology of globins, protein aggregation, and cold-adapted enzymes, with applications in life sciences, environmental monitoring, and cultural heritage preservation. She teaches Applied Physics and Biophysics at both undergraduate and graduate levels in Physics and Biological Sciences. Her work spans from atomic-level characterization of protein crystals using Atomic Force Microscopy to large-scale ecological projects like the LIFE+ WHALESAFE initiative for sperm whale conservation through acoustic monitoring. Email: alessandra.pesce@unige.it Phone: +39 010 33 56243 Research Interests: Structural characterization of hexa-coordinated globins in marine organisms Thermodynamic and kinetic analysis of truncated hemoglobins in pathogenic bacteria Quaternary structure adaptations in Antarctic enzymes Development of acoustic monitoring systems for marine mammal conservation Protein aggregation mechanisms in amyloid-related diseases Publication Trends: Over 15 years, her research demonstrates expertise in combining X-ray crystallography with biophysical techniques to study globin family proteins across diverse species (from nematodes to whales). Key themes include heme reactivity modulation, ligand diffusion pathways, and structure-function relationships in extremophile proteins, with recent emphasis on marine conservation technology.

Andreas Athenodorouمشاهده پروفایل

پژوهشگر

• Theoretical Particle Physics
• Lattice Gauge Theories
• Computational Physics
• +۴ مورد دیگر

Andreas Athenodorou is an associate research scientist at the Computation-based Science & Technology Research Center (CaSToRC) of The Cyprus Institute. He holds a PhD in Theoretical Particle Physics from the University of Oxford (2004–2008) and has held postdoctoral positions at DESY Zeuthen, Swansea University, and the University of Cyprus. Prior to his current role, he was a Marie Sklodowska Curie Individual Fellow at the University of Pisa (2019–2021). He currently leads a work package in the NI4OS-Europe project. His research focuses on theoretical and computational aspects of particle physics, including lattice gauge theories, large-Nc limits, hadron structure, and beyond Standard Model physics. He specializes in applying high performance computing (HPC), data science, and machine learning to solve complex problems in quantum field theory. Notable areas include confinement dynamics via effective string theory, glueball spectroscopy, and topological susceptibility studies in QCD. His computational work spans lattice QCD simulations, development of reproducible open science workflows, and application of machine learning to phase transition analysis. He has contributed to understanding mass hierarchies in strongly-coupled systems and the neutron electric dipole moment using advanced simulation techniques. Key contributions include advancing effective string theory descriptions of flux tubes, analyzing Z_N gauge theories, and exploring β-function behaviors in SU(2) adjoint fermion systems. His work bridges fundamental theory with computational innovation, addressing both particle physics questions and methodological challenges in large-scale simulations.

Nicolas Lebbeمشاهده پروفایل

پژوهشگر

• Shape and Topology Optimization
• Homogenization
• Nanophotonics
• +۳ مورد دیگر

Nicolas Lebbe is a CNRS researcher at the Laplace laboratory in Toulouse, France, specializing in applied mathematics and computational physics for photonic and electromagnetic systems. Current CNRS Researcher (2023–) Postdoctoral Researcher at Langevin Institute (2022) Postdoctoral Researcher at INRIA Sophia-Antipolis (2020–2022) PhD in Applied Mathematics from CEA & LJK (2016–2019) His research focuses on shape and topology optimization , homogenization , and scientific computing applied to nanophotonics and metasurfaces . He developed methods to optimize photonic components using the level-set approach and General Sheet Transmission Conditions (GSTC) for metasurface modeling. His work bridges mathematical rigor with practical electromagnetic and photonic device design. Nicolas has published extensively on Maxwell equations , plasmonics , and finite element simulations , with key contributions to robust optimization and interface homogenization . His recent publications (2023–2025) emphasize homogenization techniques for curved and quasi-periodic metasurfaces, while earlier works (2017–2019) span robust optimization theory and mid-IR photonics. He collaborates with institutions like the Langevin Institute, INRIA, and École polytechnique, and has presented at international workshops including OWTNM and GDR MecaWave. His PhD thesis, Contribution in topological optimization and application to nanophotonics (2019), laid foundational work for nanophotonic device optimization.

Christopher Williamsمشاهده پروفایل

استاد پژوهش

• Remote Sensing
• Earth & Space Sciences
• Radar Remote Sensing
• +۳ مورد دیگر

Christopher Williams is a Research Professor at the University of Colorado Boulder's Department of Aerospace Engineering Sciences, affiliated with the Colorado Center for Astrodynamics Research (CCAR). He holds a PhD in Electrical Engineering from the University of Colorado (1994), an MS from Purdue University (1986), and a BS from California Polytechnic State University (1984). His research focuses on radar remote sensing of precipitation, tropospheric microphysics, and cloud dynamics, with emphasis on satellite, airborne, and ground-based systems. He has contributed to projects like the Global Precipitation Measurement (GPM) mission and led validation efforts using disdrometers and profilers. Key awards include the NASA Goddard Robert H. Goddard Award (2015) and CIRES Outstanding Scientist (2006). Research interests include calibrating cloud radars, analyzing raindrop size distributions, and understanding precipitation processes in diverse environments. His work bridges observational techniques (e.g., Doppler radar, microwave radiometry) with theoretical modeling to improve satellite rainfall algorithms. Recent studies address attenuation effects in radar signals, vertical air motion estimation, and the impact of anthropogenic pollution on Arctic cloud properties. Educations : PhD, Electrical Engineering, University of Colorado, 1994 MS, Electrical Engineering, Purdue University, 1986 BS, Electronic Engineering, California Polytechnic State University, 1984 Key Projects : ARM Climate Research Facility NOAA Earth System Research Laboratory GPM Ground Validation campaigns Publications emphasize radar-based precipitation analysis, with recent trends in airborne W-band applications, PIA modeling, and parameterization of rain variability for large-scale models. His lab collaborations include CIRES and NASA, advancing technologies for climate monitoring and disaster response.

David Burgessمشاهده پروفایل

استاد

• Space and Astrophysical Plasma Physics
• Collisionless Plasma Shocks
• Plasma Turbulence
• +۳ مورد دیگر

David Burgess is a Professor of Mathematics and Astronomy at Queen Mary University of London, affiliated with the School of Physical and Chemical Sciences and the Centre for Fundamental Physics. His research focuses on space and astrophysical plasma physics, particularly shocks in collisionless plasmas, turbulence, particle acceleration, and large-scale simulations. He collaborates internationally with ESA and NASA mission groups. Key Research Areas: Solar wind turbulence, bow shock dynamics, interplanetary shocks, and plasma simulations. Grants: £868k from STFC for heliospheric research (2023–2027), £626k for planetary studies (2020–2024). Collaborations: Involves groups in Europe and the USA, leveraging data from space missions like Solar Orbiter and MMS. His work uses particle-in-cell simulations and hybrid models to study plasma behavior, with recent emphasis on magnetic reconnection, electron heating, and shock-turbulence interactions.

Junlin Yuanمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Turbulence Modeling
• Computational Fluid Dynamics (CFD)
• +۴ مورد دیگر

Dr. Junlin Yuan is an Associate Professor in the Department of Mechanical Engineering at Michigan State University, within the College of Engineering. Her research focuses on large-scale numerical simulations of complex turbulent shear flows, particularly addressing non-equilibrium turbulence, wall roughness, and fluid-structure interaction. Applications span engineering, environmental, and bio-locomotive systems. She has secured funding from NSF, ONR, and industry partners. Education: Ph.D. Mechanical Engineering, Queen's University, Canada (2015) M.S. Mechanical Engineering, Queen's University, Canada (2011) B.Eng. Aerospace Engineering, Northwestern Polytechnical University, China (2009) Research Interests: Dr. Yuan's work emphasizes understanding turbulence in complex geometries through direct numerical simulations (DNS) and developing physics-based models. Key areas include roughness sublayer dynamics, adverse pressure gradient effects, hyporheic exchange modeling, and turbulence-induced noise prediction. Her lab, the Turbulence Simulation & Modeling (TSM) Lab, bridges fundamental turbulence physics with practical engineering challenges. Grants & Advising: She secured a $400k NSF grant (CC* Compute) for high-memory computing infrastructure and a $490k NSF award on biomimetic fluid-structure interaction. Advised PhD students include Guangchen Shen, Saurabh Pargal, and Sai Mangavelli. Students have received fellowships such as the Richard H. Brown Endowed Fellowship and CFD Society of Canada scholarships. Labs & Teams: Directs the TSM Lab, which employs DNS and CFD tools to explore turbulence in environmental and engineered systems. Collaborates on projects involving sediment-water interface dynamics and rough wall aerodynamics.

• Human-Computer Interaction
• Virtual Reality
• Tabletop Displays
• +۷ مورد دیگر

Mark Hancock is a Professor and Chair of the Department of Management Science and Engineering at the University of Waterloo's Faculty of Engineering. He directs the Touchlab research group and holds cross-appointments in Systems Design Engineering and the David R. Cheriton School of Computer Science. His research focuses on designing interactive technologies that leverage human movement and perception to create novel interaction paradigms. Education: 2010: PhD in Computer Science, University of Calgary 2004: MSc in Computer Science, University of British Columbia 2002: BSc in Mathematics & Computer Science, Simon Fraser University Research Interests: Hancock's work centers on human-computer interaction, particularly technologies enabling richer physical interaction through hands, fingers, and body movements. His lab explores tabletop displays, large-screen interfaces, VR/AR systems, multi-touch interaction, 3D interfaces, and collaborative systems. Recent work examines VR applications for productivity, stress reduction through gaming, and gender-inclusive maker spaces. Publication Trends: Recent articles show strong emphasis on virtual reality applications (productivity tools, health considerations), tangible interfaces (card-based systems, physical props), and social computing (collaborative systems, community studies). Methodologies include phenomenological analysis, systematic reviews, and comparative evaluations of interaction techniques. Awards: NSERC Discovery Accelerator Supplement (2016) ACM CHI Golden Mouse Award (2016) ISS 2018 10-Year Impact Award Two ACM CHI Honorable Mentions (2019) Top Ontario Researcher recognition (2016) Teaching: Recent courses include Introduction to Computer Programming (MSCI 121), Algorithms and Data Structures (MSCI 240), Analytics and User Experience (MSCI 543), and Human-Computer Interaction (MSCI 630). Research Infrastructure: Directs the Touchlab, which develops novel interaction technologies. The lab's work bridges physical and digital interaction spaces, with applications in gaming, productivity tools, and collaborative systems.

Yixin Iris Wangمشاهده پروفایل

استادیار

• Supply Chain Management
• Operations Management
• Healthcare Operations
• +۴ مورد دیگر

Yixin (Iris) Wang is an Assistant Professor of Operations Management at the Gies College of Business, University of Illinois at Urbana-Champaign. She holds a Ph.D. in Technology & Operations from the Ross School of Business (University of Michigan), an M.A. in Applied Economics, and a B.S. in Statistics from Fudan University. Her research focuses on empirical supply chain management and human interactions in operations, addressing topics such as supply network resilience, regulatory policy impacts, and behavioral biases in pricing and workforce management. Her work has been published in top journals like Management Science and Production and Operations Management , earning awards including the 2022 M&SOM iFORM SIG Best Paper Award. She is actively involved in academic service, including reviewing for leading journals and organizing conferences. Teaching excellence is reflected in her consistent recognition as an outstanding educator at the University of Illinois. Research interests span empirical supply chain dynamics, healthcare operations, and behavioral operations, with applications to pharmaceutical industries and healthcare workforce scheduling. Her studies leverage large-scale data analysis and experimental methods to inform managerial and policy decisions. Notable projects include analyzing FDA inspection outcomes on drug shortages and exploring how information richness influences decision consistency. She has advised doctoral students at UIUC and maintains active collaborations with academic medical centers and retail pharmacies. Awards include Management Science Best Paper Award finalist (2024), INFORMS BOM Best Working Paper finalist (2022), and multiple teaching accolades (2020–2024). She serves on editorial review boards and has organized events like the 2024 Illinois Supply Chain Management Conference. Her service contributions have earned distinctions such as the Management Science Distinguished Service Award (2020, 2022, 2023).

• Hybrid Materials Synthesis
• Energy Harvesting
• Optoelectronics
• +۵ مورد دیگر

Letian Dou is the Charles Davidson Associate Professor of Chemical Engineering and an Associate Professor of Chemistry (courtesy) at Purdue University's Davidson School of Chemical Engineering. He holds a Ph.D. in Materials Science and Engineering from UCLA (2014) and a B.S. in Chemistry from Peking University (2009). His research focuses on hybrid materials synthesis for energy harvesting and optoelectronics, emphasizing structure-property relationships and high-performance devices. Notably, his team achieved a world-record 10.6% efficiency in organic solar cells and has secured six patents. His work spans perovskite solar cells, nanomaterials, and sustainable polymers. Recent publications highlight breakthroughs in perovskite-based optoelectronics, self-healing materials, and scalable polymer recycling strategies. His research trends emphasize interdisciplinary approaches to energy-efficient and environmentally friendly technologies. No specific scientific awards are listed, though his six patents underscore impactful innovations. Advising details and grants are not explicitly provided, but his group's activities suggest active collaboration in nanomaterials and renewable energy fields. Labs/Teams: The Dou Research Group at Purdue University focuses on advancing hybrid materials for next-generation energy and optoelectronic applications.

• Numerical Linear Algebra
• Fast Algorithms
• Structured Matrices
• +۴ مورد دیگر

Jianlin Xia is a Professor of Mathematics at Purdue University, with a courtesy appointment in the Department of Computer Science. He joined the university in 2014. Xia holds a Ph.D. in Applied Mathematics from the University of California, Berkeley (2006). His research focuses on numerical linear algebra, fast algorithms for structured matrices, and their applications in computational science and engineering. His work addresses challenges in solving large-scale linear systems, eigenvalue problems, and partial differential equations (PDEs) using innovative methods like fast multipole techniques, hierarchical structures, and randomized algorithms. Key areas of research include: Design and analysis of fast algorithms for structured matrices (e.g., hierarchical, semiseparable, Cauchy matrices) Efficient direct and iterative solvers for PDEs, especially Helmholtz equations in seismic modeling Stability and robustness of numerical methods in high-performance computing Applications in wave propagation, inverse problems, and machine learning Xia’s contributions include advancements in low-rank approximations, divide-and-conquer eigenvalue decomposition, and scalable preconditioning techniques. His work emphasizes both theoretical analysis and practical implementation, often leveraging parallel computing architectures. Contact: xiaj@purdue.edu .

Wei-Chung Allen Leeمشاهده پروفایل

دانشیار

• Neuroscience
• Connectomics
• Neural Circuits
• +۳ مورد دیگر

Wei-Chung Allen Lee, PhD, is an Associate Professor of Neurology and Neurobiology at Harvard Medical School. His research focuses on understanding how neural circuits enable behavior through functional connectomics, combining advanced imaging, machine learning, and computational modeling. The Lee Lab develops tools like X-ray holographic nanotomography and GridTape for high-resolution neural structure analysis. Key interests include circuit principles in Drosophila, cerebellar interneurons, and synaptic wiring in decision-making regions. His work explores structural-functional relationships in networks, conservation across species, and developmental constraints on neural architecture. Recent studies highlight connectomic reconstructions in Drosophila, cerebellar disinhibition mechanisms, and blood-brain barrier heterogeneity. Methodological innovations in microscopy and image restoration underscore his lab’s interdisciplinary approach. The Lee Lab is located at 220 Longwood Avenue, Boston, MA, and collaborates on large-scale neuroimaging pipelines like the Open Connectome Project.

• Architectural Design
• Urban Planning
• Public Space Design
• +۳ مورد دیگر

Anna Bach is a Visiting Professor of Architecture at Washington University in St. Louis (Sam Fox School) and former Associate Professor at EINA, University of Design and Arts in Barcelona (2008–2022). She co-founded Anna & Eugeni Bach, an architecture studio specializing in public and private projects including housing, public buildings, urban design, and art installations. Her academic roles include curating the XV Spanish Architecture Biennial and the exhibition 'Human Traces' at the Alvar Aalto Museum. Research focuses on architectural growth theories and spatial perception, with notable projects like the Slovenian Pavilion at the Venice Biennale (2023) and the Firal d’Olot (2024). Education: Masters in Theory and Practice of Architectural Design, Barcelona School of Architecture (ETSAB), UPC, 2014 Architecture Degree, Helsinki University of Technology, 2001 Research Interests: Gradual urban growth through architectural additions Temporary installations and ephemeral interventions Public space design and cultural heritage preservation Interdisciplinary collaboration between art and architecture Awards: 2024 International Topscape Award 2019 FAD Award for Ephemeral Interventions 2016 Golden Lion at Venice Biennale 2014 FAD International Award for 'La Casita' Grants & Advising: Recipient of multiple research grants for cultural heritage projects Advisor on over 25 architectural competitions and exhibitions Directed student workshops at MIT, ETH Zurich, and HafenCity University Hamburg Labs/Teams: Co-leads the Anna & Eugeni Bach studio, collaborating on large-scale urban projects and cultural exhibitions across Europe and North America.

Ngoc Cuong Nguyenمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Molecular Mechanics
• Nanophotonics
• +۷ مورد دیگر

Ngoc Cuong Nguyen is a Principal Research Scientist in the Department of Aeronautics and Astronautics at MIT and a member of the MIT Center for Computational Engineering. His research focuses on computational mechanics, numerical simulation, and advanced numerical methods such as hybridizable discontinuous Galerkin (HDG) methods for multi-scale and multi-physics problems. Education: PhD in High Performance Computation for Engineered Systems (2005), National University of Singapore BEng in Aeronautical Engineering (2001), Ho Chi Minh City University of Technology Research Interests: Computational Mechanics, Molecular Mechanics, Nanophotonics Numerical Simulation & Optimization, Scientific Computing, Machine Learning Reduced Basis Methods, High-Order Methods (e.g., HDG), Uncertainty Quantification Key Projects: Development of HDG methods for fluid dynamics, structural mechanics, and electromagnetics Plasmonic nanostructure simulations using quantum hydrodynamic models Space weather modeling via GPU-accelerated HDG approaches Optimization of photonic crystals and nanostructured materials Large-eddy simulation (LES) of hypersonic flows and buffet phenomena Labs & Teams: Active contributor to the MIT Center for Computational Engineering, leading projects in numerical methods, computational fluid dynamics, and interdisciplinary applications of advanced simulation techniques.

Daniela Andreiمشاهده پروفایل

دانشیار

• Workforce Management
• Employee Wellbeing
• Occupational Safety
• +۵ مورد دیگر

Daniela Andrei is an Associate Professor at Curtin University's School of Management and Marketing, affiliated with the Faculty of Business and Law. She coordinates large-scale applied research projects addressing workforce aging, safety, and employee wellbeing. Her work focuses on understanding forces shaping work experiences across the lifespan and their impacts on performance and safety. She is an Associate Investigator with CEPAR Stream 3 (Organisations and the Mature Workforce) and a member of Cost Action - LeverAGE. Research interests include aging workforce management, safety culture in high-risk industries (e.g., maritime), and HR practices for age diversity. Her studies often involve collaborations with industry and government bodies like Safe Work Australia and the International Mining for Development Centre. Her recent articles analyze interventions for aged care job demands, safety leadership behaviors, and maritime industry fatigue. Notable contributions include frameworks for 'Include, Individualize, Integrate' HR practices and meta-strategies for age-diverse workforces. She has advised on organizational metastrategies for managing younger and older workers, emphasizing inclusive design. Labs/Teams: Active in CEPAR's benchmarking surveys of the Australian workforce and the Age in the Workplace research network. Engaged in cross-disciplinary projects linking occupational health, leadership, and sustainable work design.