جستجوی استاد راهنمای دانشگاهی

Jayson Pauloseمشاهده پروفایل

دانشیار

• Theoretical Soft Matter Physics
• Biophysics
• Evolutionary Dynamics
• +۳ مورد دیگر

Jayson Paulose is an Associate Professor of Physics at the University of Oregon, affiliated with the College of Arts and Sciences and the Institute for Fundamental Science. His research spans theoretical soft matter physics, biophysics, evolutionary dynamics, and metamaterials design, focusing on the intersection of topology, geometry, and statistical mechanics in artificial and biological systems. Academic Roles: Faculty member in the Department of Physics, Director of the MSTC Program. Research Themes: Designer matter (topological and active metamaterials), biological systems (elasticity of thin shells, evolutionary genetics), and mechanical principles in soft structures. Collaborations: Partners with experimentalists and theorists in physics, materials science, and biology at UO and institutions like Leiden University. Lab: Paulose Group, which includes graduate and undergraduate researchers, explores problems such as topological protection in metamaterials and genetic propagation in populations. Research Interests include: Topological soft matter: Using symmetry and geometry to design materials with robust mechanical properties. Evolutionary dynamics: Modeling the impact of long-range dispersal on genetic diversity and population structure. Elastic mechanics: Analyzing thin shells and membranes relevant to biological systems. Active matter: Studying non-equilibrium systems like rotating dimer particles and synthetic metamaterials. Publications reflect his interdisciplinary focus, with recent work (2023–2024) on mechanical metamaterials, elastic shells, and stochastic population genetics, and earlier contributions to active spinner materials and topological protection in biological systems. Education & Training of students in his lab emphasizes theoretical rigor and computational techniques, with alumni transitioning to postdoctoral positions and industry roles in mechanical engineering, data science, and software development. Contact: jpaulose@uoregon.edu | Office: 375 Willamette Hall, University of Oregon.

Freek J. Beekmanمشاهده پروفایل

استاد

• Biomedical Imaging
• Nuclear Imaging
• Image Reconstruction Algorithms
• +۱۲ مورد دیگر

Prof. Freek J. Beekman is a Full Professor and head of the Biomedical Imaging section within the Department of Radiation Science & Technology at Delft University of Technology (TU Delft), Faculty of Applied Sciences. He is a leading figure in biomedical imaging, with extensive contributions to nuclear imaging technologies, including SPECT, PET, and CT. His research spans detector development, image reconstruction algorithms, hybrid photonic imaging, and the application of artificial intelligence in medical imaging. Research Interests: His work focuses on advancing imaging modalities through innovations in hardware (e.g., multi-pinhole collimators) and software (e.g., deep learning for attenuation correction). He has pioneered ultra-high-resolution imaging systems, particularly for preclinical and clinical SPECT, and has developed integrated platforms like U-SPECT-BioFluo. His recent research explores glymphatic delivery of nanoparticles, infection imaging, and AI-driven reconstruction techniques, reflecting a strong translational focus. Publication Trends: His most recent publications (2021–2023) emphasize deep learning in SPECT, multi-isotope imaging, high-resolution ex vivo systems, and applications in neuroimaging and oncology. The articles demonstrate a consistent focus on improving image quality, resolution, and clinical utility through physics-informed and AI-enhanced methods. Scientific Awards: NWO Physics Valorization Prize Innovation of the Year Award by the World Molecular Imaging Society (2015, 2018) Edward Hoffman Memorial Award (2017) Bruce Hasegawa Memorial Award (2021) FOM Valorization Award (2013) TU Delft Entrepreneurial Award (2010) Advising and Grants: While specific student names are not listed, his leadership in large collaborative projects and supervision of numerous publications suggests active mentoring. He has secured significant funding through national and international grants, evidenced by his invention of over 20 patent families and successful technology transfer. His founding and leadership of MILabs BV (sold to Rigaku) highlights his impact on commercialization and industry-academia collaboration. Labs and Teams: He leads the Biomedical Imaging research group at TU Delft, which develops cutting-edge imaging systems such as VECTor (SPECT-PET) and EXIRAD-HE. His teams have produced technologies used globally in academic and pharmaceutical research, contributing to tracer development and therapeutic innovation.

HaoTian Harvey Shiمشاهده پروفایل

استادیار

• Advanced Manufacturing
• Nanoengineering
• Material Informatics
• +۵ مورد دیگر

HaoTian Harvey Shi serves as an Assistant Professor in the Department of Mechanical and Materials Engineering at Western University's Faculty of Engineering. His research focuses on sustainable functional materials for hierarchical additive manufacturing across multiple length scales. Education: Ph.D. in Mechanical Engineering, University of Toronto, 2020 M.A.Sc. in Mechanical Engineering, University of Toronto, 2016 B.A.Sc. in Engineering Science, University of Toronto, 2014 Dr. Shi's research at the intersection of advanced manufacturing, nanoengineering, and material informatics targets applications in sensors (Organ-on-a-Chip Models, Microneedle-based Minimally Invasive Sensors) and energy storage (Supercapacitors and Zn-ion Batteries). His Data-Driven Advanced Manufacturing (D2M) Group develops hierarchical functionalized nanostructures where hidden relations between manufacturing parameters and device performance are revealed through innovative materials science approaches. His recent publications demonstrate expertise in graphene-based sensors, functionally-graded supercapacitors, nanohybrid strain sensors, and organ-on-chip models, reflecting trends toward multi-scale manufacturing for biomedical and energy applications. Scientific Awards: NSERC PGS-D doctoral award Ontario Graduate Scholarship (OGS) NSERC PDF Fellowship Dr. Shi previously held a post-doctoral Research Associate position at the University of Cambridge, developing multi-length-scale hierarchical fibre-based printing technologies. His work combines mechanical design principles with materials science to optimize hierarchical manufacturing parameters for enhanced device performance. The Data-Driven Advanced Manufacturing (D2M) Group operates within Western University's advanced manufacturing ecosystem, leveraging facilities for nanoengineering and materials characterization to develop next-generation sustainable functional materials.

Annette R. Grilliمشاهده پروفایل

استاد پژوهش

• Ocean Renewable Energy
• Coastal Hazard Assessment
• Offshore Wind Farm Siting Optimization
• +۴ مورد دیگر

Annette R. Grilli is a Research Professor in the Department of Ocean Engineering at the University of Rhode Island , focusing on ocean renewable energy and coastal hazard assessment. Her work integrates numerical modeling and statistical analysis to study extreme events like tsunamis and storms. Ph.D. in Climatology, University of Delaware (2000) M.S. in Oceanography, University of Liege (1984) B.S. in Geography & Education, University of Liege (1983) Her research spans offshore wind farm siting optimization , tsunami propagation modeling , and coastal erosion dynamics . Recent publications highlight applications of phase-resolving wave models and machine learning to coastal resilience and marine renewable energy systems. Grants include collaborations with NOAA , Department of Energy , and NSF , focusing on coastal hazard visualization , tsunami detection algorithms , and design elevation mapping under climate change scenarios. She contributes to digitalCommons@URI with over 100 publications in Ocean Engineering and Civil Engineering domains.

Yali Lingمشاهده پروفایل

استادیار

• 3D Body Scanning
• Functional Apparel Design
• Digital Fashion
• +۳ مورد دیگر

Dr. Yali Ling serves as an Assistant Professor in the Fashion Merchandising and Design program within the Department of Family and Consumer Sciences at California State University, Long Beach's College of Health and Human Services. Her research bridges traditional textile engineering with cutting-edge sustainable material innovation. Education: Ph.D. in Textile Technology Management, North Carolina State University (2021-2024) M.S. in Fashion Design and Engineering, Wuhan Textile University (2018-2021) B.S. in Fashion Design, Wuhan Textile University (2014-2018) Research Focus: Dr. Ling's work pioneers sustainable textile production through hemp/cotton blends and recycled materials, while advancing digital fashion technologies via 3D body scanning applications. Her expertise spans yarn engineering for performance textiles and functional apparel design addressing ergonomic challenges in diverse populations. This dual focus creates synergies between eco-conscious manufacturing and precision garment engineering. Publication Trends: Her 15 most recent publications (2019-2025) reveal three converging trajectories: (1) Sustainable material innovation (hemp textiles, eco-spinning), (2) Triboelectric wearable technology development, and (3) Anthropometric-driven apparel design. These strands collectively address industry demands for environmentally responsible production while enhancing human-technology interfaces in textile applications. Scientific Recognition: 2024 Best Poster Presentation at Textile Research Open House (NCSU) 2022 VF Graduate Student Impact Award ($5,000) 2021 Wuhan Textile University Special Graduate Scholarship ($1,500) 2020 Chinese Ministry of Education National Scholarship ($3,000) 2020 CNTAC "Maker China" Innovation Excellence Award 2019 China Natural Dialectics Research Association Symposium Prize Professional Engagement: Dr. Ling maintains active industry partnerships through her sustainable textile research while mentoring undergraduate students in the Fashion Merchandising and Design program. Her current work focuses on scaling hemp-based textile production and developing AI-integrated pattern generation systems. Research Infrastructure: While specific laboratory facilities aren't detailed in available materials, her publications indicate collaborations with Wilson College of Textiles' advanced manufacturing facilities and access to 3D body scanning technologies for anthropometric research.

• Super-resolution microscopy
• 3D imaging techniques
• Biomedical Engineering
• +۳ مورد دیگر

Yiming Li is an Associate Professor in the Department of Biomedical Engineering at Southern University of Science and Technology's School of of Engineering. His research focuses on cutting-edge 3D super-resolution imaging techniques and their biological applications, with expertise spanning optical instrumentation, theoretical optics, and advanced imaging algorithms developed during his postdoctoral work at EMBL and Yale University. Education: Ph.D. in Biophysics, Karlsruhe Institute of Technology (2010-2015) M.Sc. in Medical Physics, Heidelberg University (2009-2010) B.Eng. in Biomedical Engineering, Shanghai Jiao Tong University (2005-2009) Research Interests: Dr. Li specializes in developing advanced 3D super-resolution microscopy techniques with particular expertise in single-molecule localization microscopy , point spread function engineering , and real-time 3D imaging systems. His work bridges optical physics and biological applications, enabling nanoscale observation of cellular processes. His software earned first place in the SMLM Challenge 2016, the field's most prestigious software contest. Publication Trends: Dr. Li's research shows a clear progression from fundamental algorithm development to comprehensive imaging system design, with increasing emphasis on real-time 3D applications. His publications in Nature Methods, Nature Communications, and other high-impact journals demonstrate consistent innovation in super-resolution microscopy, particularly in point spread function calibration, aberration correction, and biological applications at the nanoscale level. Scientific Awards: National Overseas High-level Talents (Youth Program) (2020) Shenzhen Overseas High-level Talents Category B EMBL-EIPOD Marie Curie Postdoc Fellowship (2016-2019) Karlsruhe School of Optics and Photonics Fellowship (2010-2013) International Symposium on Biomedical Imaging Travel Grant (2013) Professional Activities: As a PhD supervisor at SUSTech, Dr. Li mentors graduate students in biomedical engineering. He serves as a reviewer for top journals including Nature Methods, Light: Science & Applications, and Optics Letters. His laboratory maintains active international collaborations with EMBL, Yale University, Oxford University, and Cambridge University, facilitating cross-institutional research in advanced imaging techniques. Research Laboratory: Dr. Li leads an active research group focused on next-generation imaging technologies, operating under the website https://li-lab-sustech.github.io/ . His laboratory combines theoretical optics, software development, and biological applications to push the boundaries of what's possible in optical microscopy for cellular and subcellular observation.

Mikael Rinneمشاهده پروفایل

دانشیار

• Rock Fracture Mechanics
• Geotechnical Engineering
• Nuclear Waste Repository
• +۳ مورد دیگر

Mikael Rinne is an Associate Professor in the Department of Civil Engineering at Aalto University's School of Engineering. His research focuses on rock fracture mechanics and its applications in various engineering contexts including nuclear waste repositories, geothermal energy systems, and underground construction. His expertise spans time-dependent rock failure mechanisms, fracture propagation models, and rock mechanics applications in energy storage and disposal systems. His work has direct applications in projects with Posiva Oy (nuclear waste repository), St1 Deepheat (geothermal energy), and mining operations with companies like First Quantum Minerals. Rinne's research integrates advanced numerical modeling with field applications, particularly in Finnish crystalline bedrock conditions. He has contributed significantly to understanding fracture initiation and propagation in rock masses under various stress conditions, with particular emphasis on long-term stability considerations for deep underground structures. His scholarly work demonstrates strong connections between theoretical fracture mechanics and practical engineering applications, with a focus on ensuring safety and reliability in rock engineering projects. His research has evolved from fundamental fracture mechanics studies to application-focused investigations addressing contemporary challenges in energy and waste management. Rinne has supervised doctoral research in rock mechanics and collaborates with researchers specializing in photogrammetry, virtual reality applications, and energy storage systems, creating a multidisciplinary approach to complex rock engineering problems.

Qian Zhangمشاهده پروفایل

استادیار

• Climate Change Mitigation
• Sustainable Mining
• Life Cycle Assessment
• +۷ مورد دیگر

Dr. Qian Zhang serves as Assistant Professor in the Robert M. Buchan Department of Mining at Queen's University's Smith Engineering, leading the Green Mining Value Chain (GreeMVC) Lab. His research develops strategic frameworks for sustainability and resilience throughout mining value chains, with emphasis on climate change mitigation and resource efficiency in global mineral systems. His academic foundation includes a Ph.D. in Urban Engineering from the University of Tokyo (awarded Japanese Government MEXT Scholarship), complemented by MSc and BSc degrees in Environmental Science plus a Minor in Economics from Peking University. Prior to his current role, he conducted postdoctoral research at the University of Victoria and University of Tokyo while consulting for the World Resources Institute on climate-energy initiatives. Dr. Zhang's expertise spans carbon footprint analysis , life-cycle assessment , and industrial ecology applied to mining systems. He employs advanced methodologies including input-output analysis and material flow accounting to model environmental pressures across urban infrastructure and mineral supply chains. His work specifically addresses greenhouse gas accounting, water-energy nexus challenges, and circular economy implementation in resource-intensive sectors. Recent publications reveal strong methodological convergence between artificial intelligence and environmental assessment, particularly in optimizing mining operations through reinforcement learning and geospatial analysis. Key thematic clusters include carbon accounting standardization, critical mineral sustainability, and policy-oriented modeling of environmental pressures throughout mineral value chains. His research program is supported by major competitive grants: NSERC Discovery Grant (2022-2027) SSHRC Institutional Grant (2023, 2025) NSERC Alliance Missions Grant (2023, 2024) Mitacs Accelerate Grant (2023, 2025) NFRF Exploration Grant (2025-2027) NRCan Energy Innovation Program (2025) Dr. Zhang actively mentors a dynamic research group comprising 10+ graduate students and postdocs, securing collaborative funding through institutional and federal channels. His GreeMVC Lab maintains active partnerships with industry leaders and government agencies to translate research into practical sustainability solutions for the mining sector, with current projects focusing on AI-driven fleet management and life-cycle assessment of mineral supply chains. The GreeMVC Lab operates as a multidisciplinary hub with structured mentorship programs, regular industry engagement events, and international collaborations including the COM symposium on sustainable circularity. The lab's physical space in Goodwin Hall supports advanced computational analysis of mining value chains while fostering innovation in green mining technologies through student-led research initiatives.

Hannes Taubenböckمشاهده پروفایل

استاد

• Remote Sensing
• Global Urbanization
• Urban Structure Analysis
• +۶ مورد دیگر

Prof. Dr. Hannes Taubenböck holds the Chair of Global Urbanization and Remote Sensing at the Julius-Maximilians University of Würzburg (Faculty of Philosophy, Institute of Geography and Geology) since 2022 and collaborates with the German Aerospace Center (DLR). His research bridges remote sensing with urban geography, focusing on: Global urbanization patterns and structural analysis Informal settlements (slums/refugee camps) Climate change and natural hazard vulnerability Migration dynamics via remote sensing and social media He obtained his PhD (2008) and habilitation (2019) at JMU Würzburg, preceded by geography studies at LMU Munich (1999-2004). His recent publications analyze: Climate impacts on African agriculture Urban permeability and walkability Border region disparities Heat exposure modeling Methodologically, he specializes in: Deep learning for earth observation Multi-modal data fusion Urban pattern classification Building stock analysis His work informs policy applications in: EU cohesion programs Disaster risk reduction Environmental justice Urban sustainability

Manolis Chatzisمشاهده پروفایل

دانشیار

• Dynamic Systems
• Earthquake Engineering
• System Identification
• +۳ مورد دیگر

Manolis Chatzis is an Associate Professor in the Department of Engineering Science at the University of Oxford and a Tutorial Fellow at Hertford College. His research focuses on dynamic systems and earthquake engineering, particularly modeling risks for unanchored structural and non-structural components subjected to ground motions. University of Oxford - Department of Engineering Science Hertford College - Tutorial Fellow His work on system identification and observability of nonlinear systems aims to optimize sensor setups for infrastructure reliability. Recent publications address discontinuous Kalman filters for non-smooth dynamics, energy loss in rocking bodies, and experimental validation of seismic response models. Applications span seismically isolated buildings, museum artifacts, hospital equipment, and supercomputers. Key research trends include: Nonlinear dynamics of rocking/sliding systems Bayesian identification methods Energy dissipation mechanisms 3D motion tracking algorithms Sensor fusion and data-driven modeling His publications since 2010 demonstrate interdisciplinary collaboration across civil, mechanical, and computational engineering domains.

Sandeep Sangalمشاهده پروفایل

استاد

• Physical Metallurgy
• Mechanical Metallurgy
• Materials Characterization
• +۳ مورد دیگر

Sandeep Sangal serves as a Professor in the Department of Materials Science & Engineering at the Indian Institute of Technology Kanpur. His academic career spans several decades with significant contributions to metallurgical research and education. As a distinguished faculty member at one of India's premier technical institutions, he has established himself as an expert in physical and mechanical metallurgy. Dr. Sangal's educational background includes a PhD (1989) and M.S. (1985) from the University of Manitoba, Canada, along with a B.Tech from IIT Kanpur (1982), demonstrating his strong foundation in materials science. His research interests focus on physical and mechanical metallurgy, particularly examining grain boundary phenomena, material characterization techniques, and industrial applications of metallurgical principles. His publication record reveals a consistent research trajectory spanning multiple decades, with significant contributions to understanding polycrystalline materials, grain boundary engineering, and metallurgical applications in industrial contexts. His work demonstrates both theoretical depth in fundamental metallurgical concepts and practical applications in industrial settings, particularly evident in his research on railway components and material characterization systems. Dr. Sangal maintains an active email contact (sangals@iitk.ac.in) and office presence within the Materials Science & Engineering Department at IIT Kanpur, where he continues to contribute to academic and research activities in the field of metallurgy.

• Concrete Technology
• Materials Science
• Additive Manufacturing in Construction
• +۴ مورد دیگر

Christoph Gehlen is Professor and Chair of Materials and Materials Testing in Civil Engineering at the Technical University of Munich (TUM), based at Franz-Langinger-Str. 10 in Munich. His research group focuses on advanced concrete technologies, materials science, and digital construction methods, with significant contributions to additive manufacturing in civil engineering through the Collaborative Research Center TRR 277. His research spans concrete technology, durability assessment, and sustainable construction practices. Key interests include corrosion mechanisms in reinforced concrete, non-destructive testing methodologies, and additive manufacturing techniques like Selective Paste Intrusion (SPI). Recent work emphasizes 3D concrete printing for structural applications, life cycle assessment of printed elements, and fundamental studies on material behavior under environmental stressors including carbonation, chloride exposure, and freeze-thaw cycles. Analysis of his 15 most recent publications (2024-2025) reveals dominant research trajectories in digital fabrication of concrete structures, particularly SPI-based additive manufacturing. His work integrates materials science with structural engineering to develop functionally graded components, assess sustainability metrics, and solve reinforcement integration challenges. Significant interdisciplinary efforts address durability issues through electrochemical monitoring, coda wave interferometry, and advanced imaging techniques for concrete microstructure characterization. Gehlen leads the Chair of Materials and Materials Testing in Civil Engineering at TUM, which operates advanced laboratories for concrete characterization including confocal laser scanning microscopy and virtual testing environments. His team actively participates in TRR 277 (Additive Manufacturing in Construction), developing fabrication-aware design methods and experimental validation protocols for novel construction technologies.

Byungwoon Parkمشاهده پروفایل

استاد

• Global Navigation Satellite System (GNSS)
• Real Time Kinematics (RTK)
• Smartphone Sensor Integration
• +۵ مورد دیگر

Byungwoon Park is a Professor in the Department of Aerospace Engineering at Sejong University, specializing in Global Navigation Satellite Systems (GNSS) and precision positioning technologies. His research focuses on advancing navigation systems through innovations in Real Time Kinematics (RTK), smartphone sensor integration, and aviation applications. Professor Park's primary research interests include Global Navigation Satellite System (GNSS), Real Time Kinematics (RTK), smartphone sensor integration, aviation navigation, and urban positioning systems. His work has significantly contributed to improving positioning accuracy in challenging environments such as urban canyons and deep urban areas. He has developed techniques for achieving sub-meter accuracy in smartphone positioning and has made substantial contributions to international GNSS standardization efforts. His recent research has focused on multi-constellation GNSS integration, lunar navigation systems, tropospheric error modeling using LEO satellites, and advanced smartphone positioning techniques. Professor Park has successfully implemented methods to achieve 1m horizontal accuracy in Android smartphone positioning using SFMC SBAS and has developed Compact Network RTK technology that reduces bandwidth requirements for GPS correction in 100x100 km areas to 700bps. 'Google Smartphone Decimeter Challenge 2022' Gold Medal Third Place Winner of the Smartphone Decimeter Challenge (2024) Professor Park leads the Navigation Systems Laboratory at Sejong University, which conducts research on various navigation systems including GNSS. His work spans theoretical research, practical implementation, and industry collaboration, with numerous publications in prestigious journals and conference proceedings. He has advised multiple graduate students and has been actively involved in both domestic and international research collaborations focused on advancing navigation technologies.

Ana Ferreiraمشاهده پروفایل

استاد

• Geosciences
• Geophysics
• Seismology
• +۵ مورد دیگر

Professor Ana Ferreira is a leading seismologist at University College London, focusing on deep Earth structure and earthquake source processes. Her research integrates seismic and geodetic data to understand planetary dynamics from the surface to the lowermost mantle. Her work includes pioneering seismic tomography, such as the SGLOBE-rani 3D anisotropy model, and earthquake source analysis using InSAR and normal mode data. She leads the Seismological Laboratory and teaches Seismology II and Field Geophysics. Recent projects include the UPFLOW experiment, which deployed 49 ocean bottom seismometers in the Atlantic, and studies on Greenland ice sheet evolution and Tonga volcanic eruptions. Her EU-funded research emphasizes multidisciplinary data integration and numerical modeling. Key article trends cover mantle anisotropy, global tomography, earthquake source inversion, cosmology-inspired machine learning, and ocean bottom seismology applications in geodynamics and cryospheric processes.

Dikai Liuمشاهده پروفایل

استاد

• Robotics
• Field Robotics
• Human-Robot Collaboration
• +۵ مورد دیگر

Dikai Liu is a Distinguished Professor and Strategic Research Director at the University of Technology Sydney (UTS), Australia, within the School of Mechanical and Mechatronic Engineering . His work spans field robotics and human-robot collaboration (HRC) , focusing on autonomous systems for infrastructure maintenance, construction automation, and underwater operations. Key research areas: Robotics, Human-Robot Interaction, Bio-Inspired Design, Infrastructure Maintenance Recent publications highlight innovations in trust modeling for HRC, stiffness control in continuum robots, and sociotechnical frameworks for AI-driven robotic systems. His 15 most recent articles emphasize applications in bridge maintenance, construction automation, and ethical AI integration. Awards include the 2019 UTS Medal for Research Impact, ASME DED Leonardo da Vinci Award (USA), and multiple engineering excellence recognitions. His research has generated over $22M in external funding, including 13 ARC grants and industry partnerships.