جست‌وجوی استاد و پژوهشگر

Anthony Tewمشاهده پروفایل

پژوهشگر ارشد

• Acoustics
• Signal Processing
• Spatial Audio
• +۴ مورد دیگر

Anthony Tew is an Honorary Fellow at the University of York , affiliated with the Audio Lab Research Group in the School of Physics, Engineering and Technology. His work bridges binaural audio signal processing , acoustic modelling , and psychoacoustics , with applications in hearing aid algorithms and 3D audio technology . Research Areas : Binaural Audio, Spatial Audio, Signal Processing, Morphoacoustic Perturbation Analysis, SYMARE Database, Head-Related Transfer Functions (HRTFs) Collaborations : University of Sydney, BBC Research and Development Committees : Chair of University Learning and Teaching Projects Committee, Public Lectures Committee, and Science and Society Working Group His research focuses on optimizing HRTF synthesis for consumer 3D audio, improving binaural hearing aid algorithms, and auditory displays for accessible television. Recent publications highlight advancements in HRTF individualization , mesh validation , and spatial cue analysis . Collaborative projects with BBC R&D explore perceptual plausibility in virtual audio environments. Contact : tony.tew@york.ac.uk

Kai Hormannمشاهده پروفایل

استاد

• Computational Sciences
• Geometric and Visual Computing
• Informatics
• +۳ مورد دیگر

Kai Hormann is a full professor in the Faculty of Informatics at Università della Svizzera italiana (USI Lugano). He earned his Ph.D. in computer science from the University of Erlangen-Nürnberg in 2002 and has held positions at Clausthal University of Technology, Caltech, and the CNR in Pisa. His research focuses on mathematical foundations of geometry processing, including barycentric coordinates, subdivision algorithms, and rational interpolation. Hormann has authored over 100 publications and serves as an associate editor for journals like Computer Aided Geometric Design and Dolomites Research Notes on Approximation . In 2024, he received the prestigious John A. Gregory Award for his contributions to geometric modeling. Education : Ph.D. in Computer Science, University of Erlangen-Nürnberg (2002) Diploma in Mathematics, University of Erlangen (1997) Abitur, Leibniz-Gymnasium Bad Schwartau (1992) Research Interests : Hormann’s work bridges computer science, applied mathematics, and engineering. His current projects include interactive shape deformations, time-dependent object processing, 3D visualization, and GPU-accelerated algorithms. His research areas encompass geometry processing, computational sciences, and numerical analysis. Publications : His recent articles focus on barycentric coordinates, subdivision schemes, and surface reconstruction. Themes include transfinite coordinates, curvature continuity, and efficient interpolation methods. Awards : John A. Gregory Award (2024) Chair of SIAM Activity Group on Geometric Design (2017–2018) Advising & Grants : He has advised numerous PhD students, including work on barycentric rational curves and subdivision schemes. He has organized conferences such as the SIAM GD and GMP series, reflecting his leadership in computational geometry. Labs & Teams : Hormann is affiliated with the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI), collaborating on interdisciplinary projects in AI and geometry processing.

Ramón Martínez Rodríguez-Osorioمشاهده پروفایل

استاد

• Satellite Communications
• Antenna Systems
• Signal Processing
• +۴ مورد دیگر

Ramón Martínez Rodríguez-Osorio is a Full Professor at the Polytechnic University of Madrid's School of Telecommunications Engineering, Department of Signals, Systems and Radiocommunications. Born in Madrid (1975), he holds a Telecommunications Engineering degree (1999) and completed doctoral studies at UPM. He has been actively involved in research since 1999, focusing on satellite communications, antenna array systems, and machine learning applications in communication networks. Education: Telecommunications Engineering Degree, Polytechnic University of Madrid (1999) PhD in Signals, Systems, and Radiocommunications (UPM) Research Interests: His work centers on satellite communication systems, including adaptive beamforming, antenna array calibration, and interference mitigation. He also explores machine learning for resource management in 5G/6G networks and hybrid beamforming algorithms for VHTS systems. Recent projects include constellation design for non-terrestrial networks and rain attenuation prediction using LSTM networks. Key Projects: European COST project and national/international grants (CICYT, FEDER, INDRA) FUTURE-RADIO, PROMETEO, STAR, and FAST initiatives Development of the HispaSim satellite link optimization tool Awards: Fundación Telefónica Award (2000) for best final degree project Teaching & Innovation: Contributed to hands-on educational projects like antenna design for CubeSats and MIMO-Testbed systems. Co-authored books on modeling/simulation for communication systems and 3G UMTS technologies. Supervised multiple academic activities including thesis and MOOC development. Labs & Teams: Leads research in the LEHA (Laboratorio de Enlace Hiperfrecuencia y Antenas) lab, focusing on satellite link analysis, antenna measurement systems, and 5G terminal testing. Collaborates with industry partners like INDRA on applied research.

Christophe Geuzaineمشاهده پروفایل

استاد

• Computational Electromagnetism
• Scientific Computing
• Finite Element Method
• +۵ مورد دیگر

Prof. Christophe Geuzaine is a Full Professor in the Department of Electrical Engineering and Computer Science at the University of Liège , Belgium. He previously held academic positions at Case Western Reserve University (Assistant Professor of Mathematics) and California Institute of Technology (Postdoctoral Scholar in Applied and Computational Mathematics). Research Focus: Computational electromagnetism, biomedical/geophysical modeling, and open-source software development (Gmsh, GetDP) Teaching: Courses in electromagnetic energy conversion, scientific computing, and multiphysics projects Location: Montefiore Institute B28, Quartier Polytech 1, Liège, Belgium His research employs ONELAB tools for high-temperature superconductivity ( Life-HTS ), photonics ( ONELAB-Photonics ), and domain decomposition ( GetDDM ). Current work emphasizes large-scale time-harmonic wave simulations and quantum computing applications.

Maciej Zawodniokمشاهده پروفایل

دانشیار

• Wireless sensor networks
• Wireless ad-hoc networks
• Passive RFID systems
• +۵ مورد دیگر

Dr. Maciej Zawodniok is an Associate Professor of Computer Engineering at the Missouri University of Science and Technology, part of the College of Engineering. He holds a Ph.D. in Computer Engineering from Missouri S&T (2006) and an M.Sc. in Computer Science from Silesian University of Technology, Poland (1999). His research focuses on adaptive and energy-efficient protocols for wireless networks, cyber-physical systems, and RFID systems. He is an investigator at the Intelligent Systems Center and serves as Assistant Director of the NSF I/UCRC on Intelligent Maintenance Systems. Education: Ph.D. in Computer Engineering, Missouri University of Science and Technology (2006) M.Sc. in Computer Science, Silesian University of Technology (1999) Research Interests: Wireless sensor networks RFID systems Energy-efficient protocols RF-based localization Cyber-physical systems Notable Awards: 2013 Outstanding Branch Counselor (IEEE St Louis Section & Region 5) 2013 Outstanding Teaching Commendation Award 2012 Outstanding New Advisor of the Year Award Advising & Grants: Dr. Zawodniok has led NSF-funded projects including the I/UCRC on Intelligent Maintenance Systems and research on memristors for RFID devices. His work emphasizes practical applications in manufacturing, disaster response, and smart grid systems. Collaborations include industry partners like Amplisine. Labs/Teams: Active in the AutoID Research Group and the Missouri S&T Motes project, focusing on wireless network testbeds and RFID innovations.

• Machine Learning
• Computer Vision
• Deep Learning
• +۴ مورد دیگر

Dr. Maryam Haghighat is a Lecturer at QUT's School of Electrical Engineering & Robotics, specializing in Machine Learning, Computer Vision, and Robotics. She holds a PhD from UNSW's School of Electrical Engineering and Telecommunications, where her thesis earned the 2020 UNSW Award for Outstanding Doctoral Thesis. Her postdoctoral research at the University of Oxford's Big Data Institute (2020–2022) focused on medical image analysis for the PathLAKE project. Currently, she leads AI projects with over $10M in funding, including ARC grants and industry collaborations. Her research spans applications in robotics, healthcare, and remote sensing. Notable contributions include developing machine learning algorithms for histopathology image analysis and robust multi-robot localization systems. Awards include the UNSW Doctoral Thesis Award (2020). She actively supervises PhD students in topics like multimodal fusion and 3D visual understanding. Publications highlight advancements in AI-driven medical imaging, hyperspectral transformers, and illumination-aware video compression. Her work bridges theoretical machine learning with practical applications in healthcare, robotics, and environmental monitoring.

Alex Lennonمشاهده پروفایل

مدرس ارشد

• Biomechanics
• Biomaterials
• Medical Device Design
• +۴ مورد دیگر

Dr. Alex Lennon is a Senior Lecturer in the School of Mechanical and Aerospace Engineering at Queen's University Belfast. His research focuses on biomechanics, biomaterials, and mechanobiology, with applications in orthopaedic and cardiovascular interventions. He collaborates with institutions like Musgrave Park Hospital and international partners on projects such as orthopaedic biomechanics, biomaterials testing, and computational modelling. Teaching responsibilities include courses on Strength of Materials and Bio-solid Mechanics. Dr. Lennon has supervised 13 PhD students, including notable alumni like Dr. Rory O'Neill (University of Edinburgh) and Dr. Pavel Galibarov (Anybody Technologies A/S). His work integrates computational methods with experimental techniques, such as finite element analysis and synchrotron X-ray scattering. Key research themes include multi-scale mechanobiology, patient-specific implant design, and risk assessment via stochastic modelling. He has received awards including the NovaUCD Campus Company Development Programme (runner-up) and a biomedical engineering scholarship. Ongoing projects involve bioresorbable materials for orthopaedic and vascular applications, funded by initiatives like the European Training Network. Dr. Lennon's contributions span over 150 publications, with recent work focusing on bioresorbable vascular scaffolds, radiographic analysis in hip replacements, and nanocomposite material characterization. His lab develops technologies for medical device evaluation and regenerative medicine strategies, emphasizing translational research for clinical impact.

• Materials Science
• Polymer Engineering
• Surface Functionalization
• +۷ مورد دیگر

Maude JIMENEZ is a Professor at the University of Lille, affiliated with the National School of Chemistry of Lille and the Materials and Transformations Unit (UMET, CNRS UMR 8207). She leads the C7-microprobe room and is a team leader within the 'Processes at Interfaces and Materials Hygiene' and 'Recycling and Functionalization Processes (PReF)' research groups. Her work bridges materials science, polymer engineering, and industrial applications in fire safety and hygiene. Her research focuses on advanced functional materials, particularly fire-retardant coatings , anti-fouling surfaces , and biomimetic designs . She specializes in plasma-based surface treatments, self-stratifying coatings, and nanocomposite development for applications in construction, food processing, and medical devices. Her interdisciplinary approach integrates polymer chemistry, materials engineering, and process optimization. The trends in her recent publications highlight a strong emphasis on sustainable and eco-efficient materials , including fluorine-free hydrophobic coatings, self-healing systems, and bio-based intumescent paints. She frequently investigates industrial fouling and cleaning mechanisms, particularly in the food sector, and develops innovative solutions to enhance fire resistance in polymers and composites. She has supervised numerous PhD theses, many co-directed with colleagues such as Serge Bourbigot, Mathilde Casetta, and Yannick Coffinier. Her research has been supported through ANR, ERC, and Interreg projects, and has led to several patents, particularly in plasma-treated fireproof materials. She also contributes to national and international scientific seminars and conferences, especially in fire science and surface engineering. She leads a dynamic research team and collaborates extensively within UMET and with external partners in industry and academia. Her lab is equipped with advanced facilities including electron microscopy, plasma platforms, and fire testing systems.

Daniel Rakitaمشاهده پروفایل

استادیار

• Robotics
• Motion Planning
• Human-Robot Interaction
• +۷ مورد دیگر

Dr. Daniel Rakita is an Assistant Professor of Computer Science at Yale University, specializing in robotics and human-robot interaction. His research focuses on developing real-time motion planning algorithms and intuitive shared-control interfaces to enable robots to safely assist humans in critical tasks such as healthcare, disaster relief, and manufacturing. He holds a Ph.D. and M.S. in Computer Science from the University of Wisconsin-Madison. His work integrates robotics, machine learning, and human factors to create end-to-end solutions for robot manipulation. Key contributions include RelaxedIK (real-time collision-free motion synthesis) and CollisionIK (per-instant pose optimization). His research also explores teleoperation systems and adaptive viewpoints for remote control in complex environments. Education: Ph.D./M.S., University of Wisconsin-Madison (Computer Science) Affiliations: School of Engineering & Applied Science, Yale University Labs/Teams: Robotics and Human-Computer Interaction research groups at Yale His publications span top venues like Robotics: Science and Systems (RSS), ICRA, and HRI. Notable awards include the Microsoft PhD Fellowship (2019-2021) and Best Paper Awards at HRI 2018. Current projects emphasize diffusion policies for manipulation learning and optimization-based motion generation frameworks.

Oubay Hassanمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Computational Electromagnetism
• Unstructured Mesh Generation
• +۳ مورد دیگر

Professor Oubay Hassan is a Personal Professor in Civil Engineering at Swansea University's School of Aerospace, Civil, Electrical and Mechanical Engineering. He has been with the university since 2002, advancing from Lecturer to Senior Lecturer to Reader before becoming a Professor. His research focuses on computational methods for engineering analysis and design, particularly in computational fluid dynamics (CFD), computational electromagnetism, and unstructured mesh generation. He co-developed the FLITE system with BAE Systems and Airbus, pivotal for aerodynamic design of supersonic vehicles like Thrust SSC (1997 World Land Speed Record) and Bloodhound SSC. Hassan has led projects funded by grants such as 'Advanced Mesh Generation' and 'CFD Technologies for Bloodhound.' His career highlights include an MBE (1998), Catherine Richards Prize (1999), and Royal Academy of Engineering Fellowship (2012). He teaches modules like Advanced Fluid Flow Simulation and Structural Mechanics, and supervises PhD research in areas like Mach-Uniform schemes and AI-driven mesh optimization. Collaborations span industries and institutions, emphasizing public engagement through projects like Bloodhound's educational outreach. Research Interests: CFD, mesh adaptation, high-speed flows, parallel processing, and aerospace engineering applications. Awards: MBE, Catherine Richards Prize, Royal Academy of Engineering Fellowship. Grants/Projects: Includes collaborations with BAE Systems, Airbus, and projects like 'Unstructured Mesh Technology for Viscous Flows.' Labs/Teams: Leads Swansea's computational engineering teams, integrating CFD, electromagnetics, and meshing innovations.

• Computer Graphics
• 3D Computer Vision
• User Interaction
• +۵ مورد دیگر

Chi-Wing FU, Philip is a Professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK). He holds dual roles in research and education, including Associate Editor-in-Chief of IEEE Computer Graphics and Applications. His research focuses on computer graphics, 3D vision, and human-computer interaction, with over 100 publications in top venues like SIGGRAPH, CVPR, and IEEE Visualization. Education: B.Sc. (1st Hons), Computer Science & Engineering, CUHK M.Phil., Computer Science & Engineering, CUHK PhD, Indiana University, Bloomington Research Interests: Dr. Fu's work spans 3D shape generation, computational LEGO design, AR visualization, and robotic interaction. He has pioneered projects like Make-A-Shape (large-scale 3D modeling) and DreamStone (text-driven 3D creation). His team also develops tools for medical data visualization and hand-object pose estimation. Recent Trends in Articles: Recent work emphasizes AI-driven creativity (e.g., LEGO art, text-to-3D systems) and real-time AR applications. His publications often bridge theory (e.g., generative models) with practical systems (e.g., user interfaces for design). Awards: Postgraduate Research Output Award (2023) MSRA Fellowship Nomination (2022) Best Associate Editor (IEEE CG&A) Outstanding Reviewer (ICCV 2021, CCF CAD/CG 2023) Advising & Grants: Supervised over 40 PhD/Master students and postdocs. Active in securing grants for projects like computational LEGO design (with Autodesk), medical AR visualization, and 3D generative AI. Collaborates with industry partners like Adobe and Huawei. Labs & Teams: Leads the Computational Design and Visualization Lab, focusing on 3D systems, robotics, and creative AI. Key projects include the LEGO Sketch Art toolchain and the HandShadowPoser AR system.

Tamy Boubekeurمشاهده پروفایل

استاد

• 3D Computer Graphics
• Computer-Aided Design
• Real-Time Rendering
• +۳ مورد دیگر

Tamy Boubekeur is a Senior Director and Senior Principal Research Scientist at Adobe Research France, leading Adobe Research France and the Computer Graphics Group at Telecom Paris. He is a part-time Professor in Computer Science at École Polytechnique, Institut Polytechnique de Paris. Previously, he held roles including Full Professor at Telecom Paris (on leave since 2019), Chief Scientist at Allegorithmic, and Founder/Director of the Computer Graphics Group at Telecom Paris. His work bridges academia and industry, focusing on 3D computer graphics, geometry processing, and real-time rendering. Education: HDR (2012), PhD (2007), and MSc (2004) in Computer Science from French universities. Professional experience spans roles at INRIA, TU Berlin, and UBC. He has been involved in significant projects like FEMONUM (medical modeling) and 3DLife (European project). Research interests include 3D shape analysis, rendering techniques, GPU programming, and global illumination. His work emphasizes efficient processing of geometric data, with applications in medical imaging, animation, and real-time visualization. Notable contributions include SQEM for shape approximation and pioneering point-based global illumination techniques. Honors include multiple Best Paper Awards at Eurographics, SIGGRAPH, and Shape Modeling International. He has supervised numerous PhD students, many of whom now hold academic and industry roles. Boubekeur has chaired major conferences (e.g., EGSR 2019) and served on program committees for SIGGRAPH, EUROGRAPHICS, and others.

• Computer Graphics
• Medical Imaging
• Virtual Reality
• +۳ مورد دیگر

Klaus Hinrichs is a Professor at the University of Münster. His work focuses on computer graphics, medical imaging, virtual reality, and scientific visualization. He leads research in interactive visualization techniques, geometric algorithms, and human-computer interaction, with applications in medical diagnostics, astrophysics, and immersive environments. His research interests include 3D reconstruction, volume rendering, gesture-based interfaces, and redirected walking in VR. He has contributed to projects like VIPAR for histopathology analysis and the Voreen framework for interactive volume visualization. Recent work explores touch interaction with stereoscopic objects, haptic feedback systems, and biometric authentication methods for mobile devices. His publications span over 30 years, emphasizing interdisciplinary approaches to visualization and user interface design.

• Cosmology
• Extragalactic Astrophysics
• Physics and Astronomy Education
• +۸ مورد دیگر

Dr Michael Cowley is a Senior Lecturer in the School of Chemistry & Physics at Queensland University of Technology (QUT), Faculty of Science. He leads the QUT Astrophysics Research Group and serves as the Academic Lead of Learning and Teaching. His research spans extragalactic astrophysics, galaxy evolution, and physics education, with strong involvement in major surveys such as ZFOURGE, ZFIRE, TAIPAN, and ASKAP-EMU. Research Interests: Dr Cowley's work focuses on the co-evolution of galaxies and supermassive black holes, using multi-wavelength data to study star formation, AGN activity, and quenching mechanisms across cosmic time. He also investigates physics and astronomy education, with a commitment to embedding Indigenous knowledges in science curricula. Publication Trends: His recent publications (2020–2025) reflect a strong focus on high-redshift galaxy populations, radio surveys (EMU), source detection algorithms (Hydra), and the integration of observational data with simulations. There is a clear trajectory toward large-scale data analysis, collaborative survey science, and methodological innovation in source finding and galaxy characterisation. Scientific Awards: Vice-Chancellor's Award for Excellence (2022) Faculty of Science's Educator of the Year (2021) Research Centre for Astronomy, Astrophysics and Astrophotonics Observing Funding Award (2015) Member of the International Astronomical Union (2019) Member of the Astronomical Society of Australia (2014) Member of the Australian Institute of Physics (2010) Member of the Institute of Physics (2010) Supervision and Grants: Dr Cowley supervises Honours, Masters, and PhD students in areas such as star formation rate estimation, galaxy evolution, and radio survey analysis. He is actively involved in education leadership and curriculum development. While specific grants are not listed, his leadership in major surveys implies significant research funding and collaboration. Labs and Teams: He leads the QUT Astrophysics Research Group and is a key member of international collaborations including the ZFOURGE, ZFIRE, TAIPAN, and EMU surveys, contributing to large-scale data analysis and scientific interpretation.

Lin Geng Fooمشاهده پروفایل

پژوهشگر

• Video Analysis
• Activity Understanding
• Diffusion Models
• +۲ مورد دیگر

Lin Geng Foo is a postdoctoral researcher at the Max-Planck Institute for Informatics under the Visual Computing and Artificial Intelligence (VCAI) Department, supervised by Prof. Christian Theobalt. He earned his PhD and Bachelor's from the Singapore University of Technology and Design (SUTD) with the President's Graduate Fellowship and top honors. His research focuses on video analysis , activity understanding , diffusion models , and dynamic neural networks , particularly for 3D human generation/editing . His work includes groundbreaking papers on adversarial attacks, human mesh recovery, and pose estimation. Key trends in his recent publications include applications of diffusion models dynamic networks 3D human modeling video analysis action recognition neural rendering for tasks like mesh recovery, controllable video editing, and sign language translation. Scientific awards include PREMIA Best Student Paper 2023 Commendation Prize Keppel Awards of Excellence (2018, 2019) EY Business Analytics Award He serves as a reviewer for major conferences (CVPR, ICCV, NeurIPS, ICML) and has presented talks at ICME 2024 Metaverse Workshop and SDSC Industry & Demo Day 2024.