جست‌وجوی استاد و پژوهشگر

Mitko Aleksandrovمشاهده پروفایل

پژوهشگر

• Geospatial Information Systems
• Three-Dimensional Modeling
• Indoor Navigation
• +۷ مورد دیگر

Dr. Mitko Aleksandrov serves as a Casual Academic and Research Associate at the University of New South Wales (UNSW), working with Geospatial Research Innovations and Development (GRID) within the School of Built Environment under the Faculty of Arts, Design & Architecture. With specialized expertise in geospatial information systems and three-dimensional modeling, Dr. Aleksandrov contributes to cutting-edge research in indoor navigation, spatial analysis, and building information modeling applications for urban planning and safety. Dr. Aleksandrov holds a Master's degree in GIS (Geographic Information Systems), though specific details about his educational institutions and timeline are not provided in the available information. His academic background has positioned him at the forefront of geospatial research with practical applications in built environments. Specializing in three-dimensional modeling and navigation systems for indoor environments, Dr. Aleksandrov's research spans geospatial analysis, building information modeling, and spatial data structures. His work focuses on evacuation planning, crowd simulation, and hazard detection through voxel-based representations of 3D spaces, visibility analysis, and the integration of BIM with geospatial data. His research bridges computer science, civil engineering, and urban design to create innovative solutions for complex spatial problems in built environments, particularly addressing safety and navigation challenges in complex buildings. Dr. Aleksandrov's publication record demonstrates a clear progression from foundational research on voxelization algorithms toward practical applications in evacuation planning and pedestrian safety. His recent work shows increasing interdisciplinary collaboration, integrating computer vision techniques with geospatial analysis to address urban challenges. He has made significant contributions to indoor navigation systems, 3D modeling for evacuation scenarios, and the application of voxel-based representations in building information modeling, with publications appearing in high-impact journals across geospatial science, computer science, and civil engineering domains. While specific awards are not mentioned in the available information, Dr. Aleksandrov's research impact is evidenced by his consistent publication record in reputable journals including Transactions in GIS, Journal of Spatial Science, and ISPRS Annals. His work has contributed to advancing methodologies in 3D geoinformation and spatial analysis for practical urban applications. Dr. Aleksandrov actively collaborates with researchers across UNSW and internationally, particularly with Sisi Zlatanova, Jennifer Barton, and other members of the geospatial research community. His publications indicate involvement in significant research projects, potentially including the CRC-LCL project referenced in his 2020 work. While specific student supervision details aren't provided, his research program suggests engagement with graduate students in the geospatial and built environment fields. Working with Geospatial Research Innovations and Development (GRID) at UNSW, Dr. Aleksandrov is part of a dynamic research team focused on advancing geospatial technologies for urban applications. His involvement in organizing academic conferences such as the 3D Geoinfo Conference and GEOINFORMATION for DISASTER MANAGEMENT demonstrates his leadership within the research community. His work with voxel-based modeling in UNITY3D suggests engagement with visualization technologies that bridge academic research and practical applications in urban planning and emergency response.

• Structural Optimization
• Isogeometric Analysis
• Finite Element Analysis
• +۷ مورد دیگر

Bastian Devresse is a Researcher at the Chair of Structural Analysis at the Technical University of Munich (TUM) , where he has worked since 2022. He holds a Master's degree in Civil Engineering from TUM (2019-2022) and a Bachelor's degree in Civil and Environmental Engineering from Hamburg University of Technology (2015-2019). His research focuses on advanced shape optimization techniques, particularly in structural mechanics and wind engineering. Research Interests : Node-based shape optimization Isogeometric analysis and B-Rep modeling Wind-induced vibrations and flexible membrane structures Lightweight and additive manufacturing optimization Multidisciplinary optimization frameworks Publications highlight his work in developing innovative parameterizations for bead-like features, applying Vertex Morphing methods to thin-walled structures, and integrating sensitivity filtering for robust optimization. Recent work extends to wind engineering simulations and membrane wing design. Teaching includes courses on finite element methods and nonlinear structural analysis. He has supervised theses on topics like robust shape optimization and isogeometric subdivision surfaces. Contact: bastian.devresse@tum.de | Office: Room 0101.Z1.019

• Computer Graphics
• Geometric Design
• Mesh Processing
• +۲ مورد دیگر

Loïc Barthe is a researcher at IRIT (Institut de Recherche en Informatique de Toulouse) affiliated with the University of Toulouse. His work focuses on geometric design, mesh processing, and subdivision surfaces in computer graphics. Email: lbarthe@irit.fr . Research interests include subdivision schemes for 3D modeling, optimization of geometric continuity around extraordinary vertices, and adaptive mesh processing algorithms. His papers on Loop and Catmull-Clark schemes demonstrate expertise in mesh refinement and curvature behavior control. Notable contributions include deriving closed-form equations for vertex position computation and developing optimization frameworks for subdivision rules. This work impacts applications requiring high-fidelity geometric representations in computer-aided design and animation.

Martin Marinovمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Geometric Modeling
• 3D Mesh Processing
• +۳ مورد دیگر

Dr. Martin Marinov is a researcher affiliated with RWTH Aachen University, specializing in computer graphics, geometric modeling, and 3D mesh processing. His work focuses on multiresolution modeling, subdivision surfaces, and GPU-accelerated algorithms for real-time rendering. Research areas: Subdivision surfaces, quad-dominant remeshing, scattered data approximation, and GPU computing. His publications include innovative methods for mesh decimation, feature preservation, and anisotropic remeshing, with applications in computer graphics and geometric modeling. Marinov has contributed to optimizing parameter correction for subdivision surfaces and developing robust algorithms for complex 3D models.

Kristian Amadoriمشاهده پروفایل

دانشیار مدعو

• Aeronautical Engineering
• Systems Engineering
• Multidisciplinary Optimization
• +۳ مورد دیگر

Kristian Amadori is an Adjunct Associate Professor and Docent at Linköping University's Department of Management and Engineering (IEI), affiliated with the Fluid and Mechatronic Systems (FLUMES) division. His research focuses on aeronautical systems engineering, multidisciplinary optimization, and conceptual aircraft design, with a particular emphasis on sustainable aviation and system-of-systems approaches. He collaborates extensively on projects involving unmanned aircraft systems, radar signature optimization, and technology portfolio analysis. His work bridges theoretical frameworks with practical applications in aerospace engineering, leveraging advanced modeling techniques such as multi-fidelity integration and ontology-based reasoning. Key research interests include systems integration challenges, stealth technology for UAVs, and automated design methodologies. His publications span topics from economic viability of regional aircraft to agent-based simulation for complex systems. Amadori's contributions emphasize holistic engineering approaches that address both technical and operational aspects of aeronautical product development. Recent articles highlight advancements in multidisciplinary optimization, technology prioritization frameworks, and parametric modeling for conceptual design. His work often involves collaboration across academia and industry to address challenges in aircraft design, surveillance systems, and sustainable aviation technologies. While no specific awards or grants are listed, his active publication record reflects sustained engagement with cutting-edge aerospace research.

Rebecca Robinsonمشاهده پروفایل

مدرس

• Computing Education
• Diversity & Inclusion
• IT Education
• +۳ مورد دیگر

Rebecca Robinson is an Education-Focused Lecturer in the Department of Human Centred Computing at Monash University's Faculty of Information Technology. She specializes in equity and diversity in IT education, emphasizing student wellbeing and accessible learning. As chief examiner for FIT1058 Foundations of Computing and co-lecturer for FIT2014 Theory of Computation, she plays a key role in foundational computing education. Education: PhD in Computer Science (Monash University, 2009): 'Characterizations and algorithms for topological containment of wheel graphs' BCompSc (Hons) in Computer Science (University of Melbourne, 2004): 'Beyond RDF: Validity and consistency analysis through graph matching' Research focuses on dismantling barriers in computing education through inclusive pedagogy and curriculum design. Her work aligns with UN Sustainable Development Goal 4 (Quality Education). Notable contributions include frameworks for equitable admissions processes and strategies to improve diversity in CS programs. Awards and recognition include: 2023 Faculty of IT Education Excellence Award - Teaching Excellence Higher Education Academy Fellow (2023) 2019 Sessional Teaching Award Service roles include Equitable Learning and Disability Liaison for Monash IT, advancing inclusive educational practices. Her research spans both computing education and genealogy studies, reflecting interdisciplinary interests in human-centred computing.

• Data Science
• Healthcare Informatics
• Artificial Intelligence
• +۳ مورد دیگر

Xin Li is affiliated with Duke Kunshan University's Data Science Research Center, where they hold the role of Researcher. Their work focuses on interdisciplinary applications of data science and artificial intelligence, including healthcare informatics, autonomous systems, and medical decision support. Research interests span healthcare technology (stroke rehabilitation decision systems, medical imaging analysis), transportation (autonomous driving perception, vehicle scheduling), and computer vision (object detection, image segmentation). Notable contributions include developing interpretable decision support frameworks for critical-care rehabilitation and improving pothole detection algorithms for autonomous vehicles. Recent publications emphasize deep learning applications in time series analysis (power data evaluation), medical diagnostics (MRI-based liver function assessment), and agricultural monitoring (disease detection via drone imagery). Ongoing work explores reinforcement learning for multi-agent systems and wearable health technologies.

Colby Longمشاهده پروفایل

استادیار

• Algebraic Geometry
• Algebraic Statistics
• Discrete Mathematics
• +۲ مورد دیگر

Colby Long is an Assistant Professor of Mathematics at The College of Wooster, with affiliations in Statistical and Data Sciences. He joined Wooster in Fall 2019 after a postdoctoral fellowship at the Mathematical Biosciences Institute (The Ohio State University) and a stint as a data scientist. His research spans algebraic geometry, algebraic statistics, and discrete mathematics, primarily applied to phylogenetics. He teaches courses such as Foundations of Advanced Mathematics and Applied Data Science. B.A., Mathematics, St. Mary’s College of Maryland (2008) M.S. and Ph.D., Mathematics, North Carolina State University (2013, 2016) His research focuses on developing algebraic methods to analyze phylogenetic networks and trees, with applications in genomic sequence analysis, coalescent theory, and agent-based modeling. Recent publications address identifiability of networks, rank conditions in hypothesis testing, and software tools like the Macaulay2 PhylogeneticTrees package. His 15 most recent publications highlight trends in phylogenetic algebraic geometry, tropical geometry, and computational biology, with specific subfields including network invariants, gene flow modeling, and Markov process analysis.

Ferit Ozturkمشاهده پروفایل

استاد

• Singularity Theory
• Contact Topology
• Symplectic Topology
• +۳ مورد دیگر

Professor Ferit Ozturk is a faculty member in the Mathematics Department at Boğaziçi University, Turkey. He holds a Ph.D. in Mathematics from Middle East Technical University (2001), an MS in Electrical and Electronics Engineering from Bilkent University (1993), and a BS in Physics and Electrical and Electronics Engineering from Bilkent University (1990). His research focuses on singularity theory, contact and symplectic topology, real algebraic topology, and dynamical systems in robotics. He has led projects such as the BAP-13082 on Morse-Bott functions (2018) and the TÜBİTAK-109T671 on three-dimensional real contact multilayers (2010–2013). Professor Ozturk has advised numerous Ph.D. and master’s students, including Merve Seyhun Cengiz and Şeyma Karadereli. His work spans theoretical contributions to contact structures and algebraic geometry, with recent publications in journals like Advances in Geometry and the Michigan Mathematical Journal. He has also contributed to robotics through studies on optimal task adjacency in multirobot systems. Education: Ph.D. in Mathematics, Middle East Technical University, 2001 MS in Electrical and Electronics Engineering, Bilkent University, 1993 BS in Physics and Electrical and Electronics Engineering, Bilkent University, 1990 Research Interests: Singularity theory and its applications in algebraic geometry Contact topology, including real tight contact structures and overtwisted disc theory Robotics, focusing on multi-robot dynamics and optimization Low-dimensional topology and geometric analysis Grants/Projects: BAP-13082: Morse-Bott functions on classical Lie groups (2018) TÜBİTAK-109T671: Three-dimensional real contact multilayers (2010–2013) Teaching: Courses include advanced calculus, Morse theory, and projective geometry.

Carolina Vittoria Beccariمشاهده پروفایل

دانشیار

• Geometric modeling
• Numerical methods for curves and surfaces
• Interpolation
• +۴ مورد دیگر

Carolina Vittoria Beccari is an Associate Professor in the Department of Mathematics at the University of Bologna, Italy, a position she has held since October 2021. Previously, she served as Senior Assistant Professor (2018-2021) and Junior Assistant Professor (2014-2018) at the same institution. Her academic career includes several postdoctoral research fellowships at the University of Bologna in Mathematics, Physics and Astronomy, and the CIRAM (Interdepartmental Research Center for Applied Mathematics). Her educational background includes: Ph.D. in Computational Mathematics from the University of Padova, Italy (2007) M.Sc. in Mathematics from the University of Bologna, Italy (2003) Dr. Beccari's research focuses on geometric modeling, numerical methods for curves and surfaces, interpolation, subdivision schemes, splines, and computer-aided design. She has made significant contributions to the theory and application of Chebyshevian splines, multi-degree B-splines, and rational geometric splines. Her work bridges theoretical mathematics with practical applications in engineering and design, particularly in developing numerical methods that can automatically generate smooth boundary surfaces from tessellations produced by topological optimization. Her research interests also extend to approximation theory and the integration of advanced mathematical techniques into CAD systems. Analysis of her recent publications reveals a clear progression from foundational work on subdivision schemes to more sophisticated applications in topological optimization and industrial design problems. Her work demonstrates increasing sophistication in handling multi-degree splines and Chebyshevian spaces, with growing emphasis on practical applications in manufacturing and engineering design processes. Dr. Beccari has secured multiple research grants including the Alma Idea research grant (2022/23) for mathematical methods to enhance structural optimization of environmentally friendly transport vehicles, the Eurostars Project NIIT4CAD (2010/12), and the University of Bologna Strategic Project IT4CAD (2007/09). She has also participated in numerous research projects funded by INdAM-GNCS on spline regression, data processing, and approximation methods. She teaches multiple courses at the University of Bologna including Introduction to Numerical Methods, Numerical Methods M, and Analisi Numerica e Modellazione Geometrica across various engineering and design programs. Her teaching spans both undergraduate and graduate levels with courses offered in both Italian and English, reflecting her international academic engagement.

• Precision Nutrition
• Cardiometabolic Health
• Insulin Resistance
• +۳ مورد دیگر

Dr. Anouk Gijbels is a researcher at Wageningen University & Research, affiliated with the Nutrition, Metabolism and Genomics group within the Human Nutrition and Health subdivision. Her work focuses on precision nutrition for cardiometabolic health, particularly investigating how personalized dietary interventions based on metabolic phenotypes can improve outcomes for individuals with insulin resistance. She holds a BSc (cum laude) in Health Sciences from Vrije Universiteit Amsterdam (2015) and an MSc (cum laude) in Nutrition and Health from Wageningen University (2017). Her PhD (2017–2023) at the same institution centered on the PERSON study , a pioneering randomized clinical trial testing tissue-specific dietary interventions for cardiometabolic benefits. This trial demonstrated that precision nutrition tailored to metabolic phenotypes outperforms generalized guidelines. Her research integrates metabolomics, immunometabolism, and clinical trials to explore insulin resistance mechanisms in liver and muscle tissues. Key projects include analyzing gut microbiota, inflammatory markers, and postprandial metabolite profiles to develop predictive metabolic scores for personalized nutrition. She collaborates with Maastricht University on diabetes and metabolism research. Teaching responsibilities include courses on research methodology for nutrition and health (HNH25806/HNH26306). She has no listed ancillary activities beyond academic work.

Pierre Kraemerمشاهده پروفایل

مدرس

• Geometric Modeling
• Computer Graphics
• Mesh Processing
• +۵ مورد دیگر

Pierre Kraemer is a Lecturer in Computer Science and a researcher in the Geometric and Graphics Computing (IGG) Team at the University of Strasbourg (formerly Louis Pasteur University). He is affiliated with the Computer Science department of the IUT of Illkirch and the ICube laboratory. His research focuses on geometric modeling, mesh processing, and computational geometry, with applications in 3D visualization, crowd simulation, and volumetric data analysis. Education: Doctor of Computer Science from the University of Strasbourg. Research Interests: Topological models for multiresolution, combinatorial maps, hexahedral mesh generation from skeletons, mesh denoising, crowd simulation with deformable agents, and immersive 3D visualization platforms like SkinExplorerTM. His work also addresses challenges in geometric modeling, including multiresolution subdivision surfaces and non-manifold modeling. Publications: Recent works span mesh skeletonization, hexahedral mesh design, crowd simulation frameworks, and visualization tools. Key themes include computational geometry, hierarchical data structures, and applications in medical imaging and virtual environments. Advising & Grants: While no students are listed, his research projects like Projet POSTURE suggest involvement in collaborative grants. His work on SkinExplorerTM reflects interdisciplinary collaboration with medical visualization. Labs/Teams: Core member of the IGG Team and ICube Laboratory, contributing to projects like CGoGN (a mesh data structure) and X-maps for non-manifold modeling.

Dieter W. Fellnerمشاهده پروفایل

استاد

• Computer Graphics
• Digital Libraries
• Computational Geometry
• +۷ مورد دیگر

Dieter W. Fellner is a distinguished Professor of Computer Science at Technical University of Darmstadt, Germany, where he serves as Director of the Fraunhofer Institute of Computer Graphics (IGD). He also holds a concurrent position as Professor of Computer Science and Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. With a career spanning over three decades, Fellner has established himself as a leading figure in computer graphics, digital libraries, and related fields. Education: Diploma in Technical Mathematics, Graz (1981) Doktorate (Ph.D.) in Technical Mathematics, Graz (1984) Habilitation, Graz (1988) Professor Fellner's research spans multiple domains within computer science, with a primary focus on computer graphics and its applications. His work encompasses computational geometry, 3D modeling and rendering, virtual and augmented reality, and digital libraries with emphasis on cultural heritage preservation. He has made significant contributions to algorithms for integrating modeling and rendering processes, efficient visualization techniques, and generative modeling approaches. His research extends to practical applications in internet-based multimedia systems, where he coordinated a strategic initiative funded by the German Research Foundation that supported approximately 50 researchers across 21 groups from 1997 to 2005. An analysis of Professor Fellner's publication record reveals a consistent trajectory of innovation in computer graphics and digital document systems. His early work focused on foundational graphics algorithms and videotex systems, evolving toward more complex 3D document modeling, visualization techniques, and digital library architectures. A notable trend is his interdisciplinary approach, bridging computer graphics with applications in cultural heritage, bioinformatics, and brain-computer interfaces. His research demonstrates a progression from theoretical algorithms to practical implementations addressing real-world challenges in information visualization and knowledge management. Scientific Awards: Fellow of the Eurographics Association (2000) Member of the IST Advisory Group for the European Commission (ISTAG) (2007) Best Technical Paper Award (Günther Enderle Award) at Eurographics'98 Conference Honorary Doctorate from the University of Rostock (2019) Throughout his career, Professor Fellner has supervised numerous students and researchers, though specific names are not documented in the available sources. His leadership extends to significant grant activities, most notably coordinating the German Research Foundation's strategic initiative on distributed processing and mediation of digital documents from 1997 to 2005. This major project provided funding for approximately 50 researchers annually across 21 research groups, demonstrating his capacity to lead large-scale collaborative research efforts. He has also served on editorial boards of leading journals and program committees of international conferences, shaping the direction of research in his fields of expertise. Professor Fellner directs the Fraunhofer Institute of Computer Graphics (IGD) in Darmstadt, a prominent research institution focused on applied computer graphics. He also founded and chairs the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology. These institutions serve as hubs for interdisciplinary research, bringing together computer scientists, domain experts, and industry partners to advance the state of the art in visualization, digital libraries, and knowledge management systems. The teams under his leadership have produced influential work in 3D document processing, cultural heritage digitization, and advanced visualization techniques.

• Computational Geometry
• Algorithm Design and Analysis
• VLSI Computer-Aided Design
• +۳ مورد دیگر

Evanthia Papadopoulou is a Full Professor of Computer Science at the University of Lugano (Università della Svizzera italiana) since 2016. Previously, she was an Associate Professor at USI (2008–2016), a Research Staff Member at IBM T.J. Watson Research Center (1996–2008), and an Assistant Professor at Athens University of Economics and Business (2004–2008). She holds a BS in Mathematics from the University of Athens, an MS in Computer Science from the University of Illinois at Chicago, and a PhD in Computer Science from Northwestern University (1995). Her research focuses on computational geometry, algorithm design, and their applications in VLSI CAD and geometric computing. Key areas include Voronoi diagrams, proximity algorithms, triangulations, and geometric optimization. She has received the IBM Outstanding Innovation Award (2006) and the Technical Accomplishment for IBM Research (2006) for her work on VLSI critical area analysis using Voronoi diagrams. As part of the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI), her work integrates theoretical and applied aspects of computational geometry. Her contributions span algorithmic frameworks, geometric data structures, and practical applications in VLSI layout analysis and manufacturing. Her recent research emphasizes high-order Voronoi diagrams, subdivision methods for geometric optimization, and certified approximation algorithms. These advancements address challenges in geometric computing, such as farthest-color Voronoi diagrams and dynamic geometric problems.

Reinhold Preinerمشاهده پروفایل

پژوهشگر

• 3D Computer Graphics
• Visualization
• Geometry Processing
• +۳ مورد دیگر

Reinhold Preiner is a Senior Researcher at the Institute for Computer Graphics and Knowledge Visualization, part of the Faculty for Computer Science and Biomedical Engineering at TU Graz. He holds a PhD from TU Wien (2017) focused on dynamic and probabilistic point-cloud processing. His research emphasizes 3D graphics, geometry processing, and cultural heritage digitization. Current projects include Open Reassembly (fragment assembly for archaeological artifacts) and VR4CPPS (virtual reality in production systems). Education: PhD in Computer Science, TU Wien (2017) Dipl.-Ing. (MSc equivalent) in Computer Science, TU Wien Research Interests: Probabilistic geometry processing, interactive visualization, cultural heritage preservation through digital methods, and VR applications. Recent work includes thermal conduction modeling in astrophysical systems and crowd simulation algorithms. Projects & Grants: FWF Research Group A+CHIS (Cultural Heritage Informatics) Collaborative projects with Fraunhofer Institute Labs/Teams: Leads the Visual Computing group at TU Graz, collaborating with international partners on cultural heritage digitization and VR solutions.