جست‌وجوی استاد و پژوهشگر

Aymeric Histaceمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Computer Aided Diagnosis
• +۴ مورد دیگر

Aymeric Histace is a Full Professor at the École Nationale Supérieure d'Électronique et de ses Applications (ENSEA) within CY Cergy Paris University. He leads the CELL research group at the ETIS laboratory, specializing in AI-driven medical diagnostics and embedded systems. His work focuses on computer vision, machine learning, and their applications in healthcare, particularly in capsule endoscopy and disease-carrying insect surveillance. Key roles: Teacher-researcher, CAD-CAP Scientific Council member Research areas: Medical AI, embedded systems, computer-aided diagnosis, and health technologies Notable contributions: Developed algorithms for automated analysis of gastrointestinal imaging and AI systems for vector surveillance His research bridges clinical needs and technological innovation, with over 50 publications since 2018. Recent work includes benchmarking polyp detection systems, improving bowel preparation assessments, and creating datasets for insect species classification using wing interferential patterns (WIPs). Publications: Over 40 peer-reviewed articles in journals like Medical Image Analysis and IEEE Transactions Tools developed: GTCreator annotation tool, AAEGAN image synthesis framework Grants & collaborations: Active in EU-funded projects on medical AI and embedded systems Labs/Teams: ETIS laboratory (Computer Science/Signal Processing), CELL research group (AI in Healthcare)

Martin-Pierre Schmidtمشاهده پروفایل

مدرس

• Topological Optimization
• Multi-physics Optimization
• Approximation Theory
• +۳ مورد دیگر

Martin-Pierre Schmidt is a Lecturer at the National Institute of Applied Sciences (INSA) Rouen, affiliated with the Department of Mathematical Engineering. His research focuses on topological/multi-physics optimization, approximation theory, and applications in computer-aided geometric design (CAGD). He completed his PhD in March 2020 under the supervision of Christian Gout, with co-supervisors David Bonner and Auxkin Ortuzar from Dassault Systèmes, funded by Dassault Systèmes. His work integrates machine learning and data science into imaging and design processes. He teaches in the GM5 program at INSA Rouen, emphasizing machine learning and data approximation techniques. His research team is part of the Numerical Analysis, Imaging and Approximation group. Notable contributions include interactive topology optimization tools, biomimetic microstructure design, and robust 3D shape detection algorithms. His thesis defense in 2020 involved a jury of international experts in mechanical engineering and computational design. Key collaborations include Dassault Systèmes, with applications in CAD model optimization and manufacturing process design. His work bridges theoretical optimization methods with practical industrial applications in additive manufacturing and structural engineering.

David Cazierمشاهده پروفایل

استاد

• Virtual Reality
• Computer Graphics
• Computational Geometry
• +۴ مورد دیگر

David Cazier is a **Professor at the University of Strasbourg** and a **Researcher at the ICube Laboratory**, specializing in geometric and graphical computing. He also teaches computer science at the **IUT of Haguenau**. His research focuses on three main axes: multiresolution geometric models, real-time interaction in virtual reality, and tools for adapting such models to simulations and visualization. His work bridges theoretical advancements in geometric modeling with practical applications in medical imaging, crowd simulation, and augmented reality. **Research Interests**: Cazier’s expertise includes virtual reality (VR) immersion, real-time interaction techniques, and the development of efficient geometric models for complex simulations. His projects often involve hierarchical meshes, topological changes during deformations, and applications in surgical AR. Key areas include multiresolution representations, collision detection in dynamic environments, and non-manifold geometry processing. **Publications**: His recent work emphasizes medical applications (e.g., surgical AR with topological changes) and foundational contributions to geometric data structures (e.g., CGoGN, CPH). He explores user interaction challenges in the digital divide era and develops tools for crowd simulation using deformable agents. **Collaborations and Projects**: Active in collaborations with the ICube Lab’s IGG team, Cazier contributes to platforms like CGoGN and InVirtuo. His research spans national and European projects, including IHU, ANR, and CNRS initiatives. He supervises internships on geometric models for VR applications and interdisciplinary projects combining geometry with medical and industrial challenges.

Pascal Schreckمشاهده پروفایل

استاد

• Geometric Computing
• Formal Methods in Geometry
• Automated Deduction
• +۳ مورد دیگر

Pascal Schreck is a Professor of Computer Science at the University of Strasbourg, affiliated with the Department of Computer Science within the UFR of Mathematics and Computer Science. He is a researcher at the ICube laboratory and has held administrative roles, including Director of the Computer Science Department (2008–2011) and course coordinator for specialized programs. His research focuses on geometric computing, formal methods in geometry, automated deduction, and geometric constraint solving, with contributions to theorem proving, computational geometry, and CAD applications. His work integrates algebraic and geometric approaches to solve problems like constructibility in geometric constructions, incidence geometry, and constraint systems. He has developed methods using Coq proof assistants for formal verification and explored topics such as homotopy-based solutions for geometric constraints. His contributions span theoretical advancements and practical applications in areas like 3D modeling and medical trajectory planning. Key research trends include leveraging formal systems (e.g., Coq) for mechanized proofs, analyzing geometric constructs' feasibility, and improving algorithms for constraint resolution. His publications address foundational geometry theorems (e.g., Dandelin-Gallucci), combinatorial geometry, and automated construction verification. He has also contributed to international workshops and conference proceedings on automated deduction in geometry. As a member of the ICube laboratory and the IGG Team (Geometric and Graphical Computing), Schreck collaborates on interdisciplinary projects, bridging mathematics, computer science, and engineering. His work emphasizes rigorous formalization, algorithm optimization, and practical implementation in geometric problem-solving domains.

Bruce Wolffenbuttelمشاهده پروفایل

استاد

• Diabetes Mellitus
• Endocrinology
• Metabolic Disorders
• +۳ مورد دیگر

Bruce Wolffenbuttel is a Professor at the University of Groningen, affiliated with the University Medical Center Groningen. His research focuses on diabetes mellitus, metabolic disorders, and endocrinology, contributing to UN Sustainable Development Goals related to health. He has authored over 525 publications, including recent studies on vitamin B12 deficiency, coronary artery disease risk stratification, and lifestyle interventions for weight loss. His work integrates genetic, environmental, and clinical data, such as the Lifelines Cohort Study. He received the Lacqueur Lecture (2021) and Dr. F. Gerritzen Prize (1991) for diabetes research. Education: Not explicitly stated in the text. Affiliations: University of Groningen, CluB12 UK (Member, 2020–2025). Research interests emphasize diabetes pathophysiology, endocrine disruptors, and translational medicine. Recent articles highlight diagnostic innovations for metabolic diseases and public health implications of nutrient deficiencies. He has supervised 25 PhD students, including Sandra Slagter and Walter Kuchenbecker. Collaborations span global institutions, with datasets like the Lifelines Biobank. Media contributions address vitamin B12 deficiency risks linked to vegan diets and mental health.

• Manufacturing Engineering
• Sustainable Manufacturing
• Additive Manufacturing
• +۴ مورد دیگر

Joost Duflou is a Full Professor at the Department of Mechanical Engineering, KU Leuven, leading the Manufacturing Processes and Systems (MaPS) research group. He holds key roles including Head of the Division Industrial Management, Traffic and Infrastructure, and Head of the Subdivision Design Methodology and Life Cycle Engineering. His research focuses on sustainable manufacturing, laser cutting technologies, circular economy strategies, and bio-inspired design. He actively promotes interdisciplinary collaboration through affiliations like Leuven.AM (Additive Manufacturing Institute) and serves on institutional councils such as the Sustainability Council and Mechanical Engineering Department Council. His teaching encompasses courses like Ecodesign, Project Management, and Engineering Entrepreneurship. Recent projects emphasize intelligent CAD support for manufacturability, heavy-duty laser cutting efficiency, and recycling innovations for e-waste. He has published extensively on topics ranging from cranial implant forming to copper slag valorization, with a strong emphasis on environmental impact assessments and industrial symbiosis. Key Projects : Design for Manufacturing (2024-2028), Heavy-duty Laser Cutting (2022-2026), Circular Economy Business Models (2022-2025) Grants & Funding : Multiple EU and industry-sponsored projects totaling over €5M in recent years Labs/Teams : Leuven.AM Institute, MaPS Research Group

• Biomedical Image Analysis
• Medical Imaging
• Computer-Aided Diagnosis
• +۴ مورد دیگر

Marios Pattichis is a Professor of Electrical and Computer Engineering at the University of New Mexico (UNM), serving as Director of Online Programs since 1999. He leads the Image and Video Processing and Communications Lab (ivPCL) and co-founded Cosmiac. His work focuses on biomedical image analysis, video analytics for clinical decision support, and educational technology initiatives like the AOLME project targeting underrepresented middle-school students. Pattichis holds 10 patents, over 80 journal papers, and $15.9M in research funding from NSF, NIH, and AFRL. Education: Ph.D. and M.S. in Computer/Electrical Engineering from UT Austin (1998, 1993), with dual B.A./B.Sc. in Mathematics and Computer Sciences (1991). Research Interests: Biomedical CAD systems, explainable AI in imaging, dynamically reconfigurable architectures, and bilingual STEM education. His lab develops tools for stroke risk assessment via carotid ultrasound, solar coronal hole segmentation, and classroom activity analysis to measure student participation. Awards: 2022 EAMBES Fellow for contributions to biomedical image analysis. Editorships include IEEE Transactions on Image Processing and IEEE Signal Processing Letters. Grants & Teams: Directed over $15.9M in grants, advised numerous students (though none listed explicitly), and collaborates with educators on AOLME's integrated math/CS curricula. Active in codec comparisons for healthcare video streaming (VVC vs. AV1) and FPGA-based image processing acceleration. Labs/Initiatives: ivPCL (medical imaging/video systems); DRASTIC (adaptive video processing); ESTRELLA (bilingual STEM outreach). Involved in IEEE journal special issues on video analytics and multilingual education.

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.

Ioanna Lykourentzouمشاهده پروفایل

دانشیار

• Collaborative Systems
• Crowd Systems
• Machine Learning
• +۵ مورد دیگر

Ioanna Lykourentzou is an Associate Professor at Utrecht University, leading the Collaborative Technologies Lab and coordinating Computing Science Master's and Information Sciences Honors Bachelor's programs. She holds a PhD and ECE degree from the National Technical University of Athens. Her research focuses on collaborative systems, combining computational science (machine learning, optimization) with social sciences (team dynamics, personality assessment). Education background includes a PhD and ECE degree from National Technical University of Athens. She has held postdoctoral and visiting roles at Carnegie Mellon University, INRIA Nancy-Grand Est, and Henri Tudor. Research interests span computational team formation, Human-AI collaboration, and cultural heritage accessibility. Recent work includes projects on GenAI in education (NWO Take-off grant), algorithmic team formation for game development (EU MSCA funding), and ethical AI frameworks. Active in open science initiatives as an Open Software Fellow and Ethics Review Board member. Key collaborations include MIT-Netherlands Seed Fund projects on Human-AI design, and interdisciplinary work in digital humanities through Utrecht's AI in Cultural Inquiry SIG. Her lab hosts researchers like Pedro Zambon (MSCA fellow) and Heleen Kerstholt (AI-enabled teamwork).

Jennifer Fisherمشاهده پروفایل

استاد

• Contemporary Art
• Curatorial Studies
• Exhibition Practices
• +۴ مورد دیگر

Jennifer Fisher is a Professor in the Department of Visual Art and Art History at York University's School of the Arts, Media, Performance & Design (AMPD). She holds a BFA from NSCAD University, and MA and PhD degrees from Concordia University. Her academic work integrates curatorial practice with research in contemporary art, sensory aesthetics, and feminist theory. Research Focus Fisher's research explores interdisciplinary intersections including: Exhibition studies and archival reinterpretation Affect theory and non-visual sensory aesthetics Feminist performance and display practices Curatorial methodologies and artist archives Professional Recognition Contemporary Art Fellow at the National Gallery of Canada Research affiliations at Cornell University and NYU Tisch School of the Arts Co-founder of the Journal of Curatorial Studies Founding member of DisplayCult curatorial collective Notable Projects Fisher co-curated 'Archives by Artists' (2024) at the Archives of Ontario, featuring 18 international artists who reconceptualize archival practice through interactive multiples. The exhibition engaged AMPD students in hands-on curation and will travel to Québec in 2025. Her work frequently integrates academic research with public-facing curation.

Maria Helenowska-Peschkeمشاهده پروفایل

دانشیار

• Architectural Design
• Parametric Modelling
• Digital Fabrication
• +۳ مورد دیگر

Dr. Maria Helenowska-Peschke is an Associate Professor at the Department of Visual Arts, Faculty of Architecture, Gdańsk University of Technology. Her research focuses on parametric design, digital fabrication, and the integration of technology in architectural education. She holds a PhD in arts studies (1999) and a habilitation in engineering (2018). Her work explores the impact of digital tools on architectural practice, including energy modeling for sustainable housing and blended learning methodologies. Notable publications include analyses of parametric design trends, energy-efficient housing, and digital workshop innovations. She leads projects like the 'Parametric-Algorithmic Paradigm in Architecture' funded by MNiSW grants. Teaching focuses on computer techniques and hybrid educational models. Contact: mhelen@pg.edu.pl, Office: Gmach Główny - room 353.

• GeoInformatics
• Geographic Information Systems (GIS)
• 3D Geographic Information Systems (3D-GIS)
• +۱۲ مورد دیگر

Ismail Rakip Karas is a Professor of Computer Engineering and Head of the 3D GeoInformatics Research Group at Karabuk University, Turkey. He holds a BSc from Selcuk University (1997), MSc from Gebze Institute of Technology (2001), and PhD from Yildiz Technical University (2007). His career includes roles as Visiting Researcher at Universiti Teknologi Malaysia (2010–2014) and Research Assistant at Gebze Institute of Technology (2000–2009). Currently, he serves as Deputy Rector of Karabuk University and has held administrative positions including Dean of Safranbolu Fine Art and Design Faculty, Director of Safranbolu Vocational School, and acting Dean of the Faculty of Architecture. Research interests span GeoInformatics, 3D GIS, network analysis, spatial data structures, and intelligent transportation systems. He has led over 20 national/international projects, including EU-funded initiatives and collaborations with institutions like Nara Institute of Science and Technology and University of Szeged. His work emphasizes smart city applications, indoor navigation, and emergency evacuation models. Publications include over 100 peer-reviewed articles and book chapters, focusing on GIS applications, machine learning in geospatial analysis, and 3D modeling. He has organized conferences like Geo-Advances 2017 and serves on editorial boards of journals such as the International Journal of Geo-Spatial Knowledge and Intelligence.

Ben Evansمشاهده پروفایل

استاد

• High speed aerodynamics
• Computational fluid dynamics
• Molecular gas dynamics
• +۲ مورد دیگر

Professor Ben Evans is a Professor in Aerospace Engineering at Swansea University, contributing to the Bloodhound Land Speed Record project with responsibilities for aerodynamic modelling. His research focuses on high-speed aerodynamics, computational fluid dynamics, and optimization techniques, collaborating with industry leaders like Rolls-Royce and Airbus. He actively engages in public engineering education and outreach through initiatives like the Bloodhound Education Programme. Education: MEng in Aerospace and Aerothermal Engineering from Cambridge University (2004), PhD in Computational Fluid Dynamics from Swansea University (2011). Current roles include Director of the Bloodhound Education Programme and Engineering Education Scheme Wales. Research interests span molecular gas dynamics simulation, aerodynamic shape optimization, and innovative propulsion systems. He has secured grants totaling over £150K, including EPSRC funding for projects like the virtual wind tunnel and CubeSat drag modelling. Notable awards include the Mike Crisfield Prize (2006) and TATA Steel Award (2014). Recent work includes aerodynamic studies for supersonic vehicles, CubeSat drag reduction, and human-AI collaboration in design. Supervised over a dozen PhD/MSc students focusing on topics like Bayesian optimization and electric propulsion for spacecraft.

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.

Xi Zouمشاهده پروفایل

مدرس

• Finite element methods
• Mesh generation
• Reduced order modelling
• +۳ مورد دیگر

Dr. Xi Zou is a Lecturer in Aerospace Engineering at Swansea University since May 2023. He holds a PhD from the University of Pavia and Polytechnical University of Catalonia via the Erasmus Mundus Joint Doctorate fellowship. Previously, he worked as a postdoctoral researcher at the University of Nottingham and a Stress Engineer at Airbus China. His expertise includes finite element methods, mesh generation, reduced order modelling, and composite structures analysis. Education: BSc in Spacecraft Design (Beihang University), MSc in Mechanics (Beihang University), PhD in Engineering (Erasmus Mundus Joint Doctorate) His research focuses on advancing numerical methods for structural analysis, particularly in composite materials and airframe structures. Recent work includes developing NURBS-enhanced finite element meshes and efficient damage hotspot identification tools. He has published widely in journals like Computer-Aided Design and International Journal for Numerical Methods in Engineering. Dr. Zou has supervised MSc projects exploring expandable space modules using origami principles. He actively collaborates with industry and teaches modules such as Engineering Mathematics and Finite Element Analysis.