جست‌وجوی استاد و پژوهشگر

• Computer Graphics
• Augmented Reality
• 3D Modeling and Reconstruction
• +۵ مورد دیگر

Kwan H. Lee is a prominent researcher in computer graphics and augmented reality, affiliated with the University of Alberta in Canada. With a publication record spanning over three decades (1990-2020), he has established himself as a leading figure in visual computing research with 56 documented publications. His research interests focus on Computer Graphics , Augmented Reality , 3D Modeling and Reconstruction , Computer Vision , and Cultural Heritage Computing . Dr. Lee's work demonstrates particular expertise in material appearance modeling, projection mapping techniques, and spatial augmented reality applications. His research has evolved from foundational work in manufacturing systems to cutting-edge applications in cultural heritage preservation and industrial visualization. Analysis of his recent publications (2015-2020) reveals a strong emphasis on practical applications of augmented reality in construction, museum exhibitions, and cultural heritage preservation. His work consistently bridges theoretical computer graphics concepts with real-world implementations, particularly in projection mapping systems and 3D reconstruction techniques. The publications show increasing focus on industrial applications and cultural heritage preservation in his later career. Dr. Lee has collaborated extensively with researchers from Korean institutions, suggesting strong international connections. His co-author network includes Yong Yi Lee, Jong Hun Lee, Min Ki Park, and other frequent collaborators who appear across multiple publications spanning more than a decade.

Liz Vivasمشاهده پروفایل

دانشیار

• Complex Dynamics
• Several Complex Variables
• Complex Geometry
• +۷ مورد دیگر

Liz Vivas is an Associate Professor in the Department of Mathematics at The Ohio State University. Her research focuses on Complex Dynamics, Several Complex Variables, and Complex Geometry, with particular interest in connections to other mathematical fields such as Parabolic Implosion and Orthogonal Polynomials. She has held academic positions at Purdue University and conducted postdoctoral research at institutions including the Institute Henri Poincaré and Universidade Federal Fluminense. Vivas earned her Ph.D. in Mathematics from the University of Michigan in 2009. Her teaching includes courses such as Honors Complex Analysis, Graduate Complex Analysis, and undergraduate Calculus. She actively participates in mentoring initiatives, co-organizing the Young Mathematicians Conference for undergraduates and contributing to the Women in Several Complex Variables Research Network (WinSCV). Vivas has also been involved in the AWM Poster Session at the Joint Mathematical Meetings, fostering graduate student engagement. Her research explores topics like Bergman spaces, Hardy spaces, and geometric analysis, with over 15 publications in peer-reviewed journals. She has collaborated extensively, including with researchers like Anne-Katrin Gallagher, Purvi Gupta, and Han Peters.

Mohammad Poursinaمشاهده پروفایل

دانشیار

• Dynamic Modeling and Simulation of Multibody Systems
• Robotics and Robotic Rehabilitation
• Artificial Intelligence and Control Systems
• +۴ مورد دیگر

Mohammad Poursina is an Associate Professor at the Department of Engineering Sciences , University of Agder, Norway. His research spans multibody dynamics , robotics , and celestial mechanics , with a focus on dynamic modeling, control systems, and biomechatronics. He has held prior academic roles at the University of Arizona and Rensselaer Polytechnic Institute. Ph.D. in Mechanical Engineering, Rensselaer Polytechnic Institute (2011) M.Sc. and B.Sc. in Mechanical Engineering, University of Tehran (2006, 2003) His work addresses complex systems through interdisciplinary approaches, including robotic rehabilitation , flexible manipulators , and molecular dynamics . Recent publications highlight advancements in trajectory optimization , VR/AR surgical training , and asteroid system modeling . He serves on the editorial boards of Multibody System Dynamics and Journal of Computational and Nonlinear Dynamics , and has organized ASME conference sessions. Key research groups: Artificial Intelligence, Biomechatronics, and Collaborative Robotics Projects: Reality-Connected Machine Simulation of Heavy Machinery (RealSim)

• Mechanical Design
• Machine Construction
• Contact Mechanics
• +۶ مورد دیگر

Antonio Papangelo is an Associate Professor at the Department of Mechanics, Mathematics & Management of the Politecnico di Bari , Italy. His research focuses on mechanical design and machine construction, particularly in contact mechanics, adhesion phenomena, and viscoelastic material behavior. Email: antonio.papangelo@poliba.it Research Areas: Tribology, Adhesion Mechanics, Viscoelasticity, Fracture Mechanics, Nonlinear Dynamics Current research explores adhesion enhancement through microvibrations, viscoelastic friction in sliding/rolling contacts, and dynamic JKR adhesion problems. Studies often combine multi-scale modeling and experimental validation to address challenges in soft robotics and automotive engineering (e.g., porpoising suppression in race cars). Scientific contributions span tribology , contact mechanics , and nonlinear vibration analysis , with publications covering topics like surface topography characterization, mechanochromic suction cups, and fatigue crack propagation laws. His work bridges theoretical modeling and practical applications in mechanical systems.

Viveka Erlandssonمشاهده پروفایل

دانشیار

• Hyperbolic Geometry
• Low Dimensional Topology
• Teichmüller Theory
• +۳ مورد دیگر

Viveka Erlandsson is an Associate Professor in the School of Mathematics at the University of Bristol, affiliated with the Institute for Pure Mathematics and the Institute for Probability, Analysis, and Dynamical Systems. She previously held postdoctoral positions at the University of Helsinki, University of Fribourg, and Aalto University. Her research focuses on hyperbolic geometry, low-dimensional topology, and Teichmüller theory, with emphasis on counting curves and geodesics, geodesic currents, billiards, and mapping class group dynamics. She has contributed to equidistribution theorems, rigidity problems, and connections between flat and hyperbolic surfaces. Recent publications include work on reciprocal geodesics, non-orientable surface dynamics, and geodesic counting via currents. Her articles span hyperbolic geometry, dynamical systems, and geometric group theory, reflecting interdisciplinary methodologies. LMS Anne Bennett Prize (2021) Whitehead Prize (2024) She advises PhD students and collaborates with researchers such as Juan Souto, Moon Duchin, and Chris Leininger. Her project 'Geodesic Currents and Counting Problems' (2020–2022) was funded by the University of Bristol.

• Polymer Chemistry
• Polycondensation Processes
• Polymerization Processes
• +۶ مورد دیگر

Dr. Markus Klapper is a Project Leader in the Department of Synthetic Chemistry at the Max Planck Institute for Polymer Research. With over three decades of research experience since receiving his doctorate in 1990, he has established himself as a leading expert in polymer chemistry and materials science. His work bridges fundamental polymer science with practical applications in energy, nanotechnology, and biomedicine. Dr. Klapper received his chemistry education at the University of Mainz, where he completed his doctorate in 1990 under the supervision of Prof. R.C. Schulz. His doctoral research focused on the synthesis and topochemical polymerization of aminodiacetylenes. Following his doctoral studies, he joined the Max Planck Institute for Polymer Research, where he has remained throughout his career, advancing to his current position as Project Leader. Dr. Klapper's research program centers on innovative polymer synthesis methodologies and their applications. His primary interests include developing new polycondensation and polymerization processes, creating functional polymers and block copolymers through polymer-analogous reactions, and engineering materials for specific applications. Much of his recent work focuses on polymerization of olefins in heterogeneous phases, where he has developed novel organic supports and investigated their polymerization behavior. He has also pioneered the development of non-aqueous emulsions suitable for polymerizing water-sensitive monomers, opening new avenues for creating specialized polymer materials. His research on hydrophobization of inorganic nanoparticles has led to materials with applications in water-repellent coatings and surfaces. His recent publication record demonstrates a strong trajectory of impactful research, with publications spanning nanotechnology, polymer science, materials engineering, and biomedical applications. The research themes evident in his recent work include nanoparticle-polymer hybrid systems, advanced polymer architectures like bottlebrush polymers and triblock terpolymers, and the development of materials for energy applications such as fuel cells. His collaborative work extends across multiple disciplines, with publications in high-impact journals across chemistry, materials science, and nanotechnology. Dr. Klapper's research has significant implications for multiple fields, particularly in developing advanced materials for energy applications (particularly fuel cells), creating novel nanoparticle systems for biomedical applications, and advancing fundamental understanding of polymerization processes. His work on hydrophobization of inorganic nanoparticles has potential applications in creating water-repellent surfaces and coatings, while his research on non-aqueous emulsions opens new possibilities for synthesizing sensitive polymer systems.

Sai-Kee Yeungمشاهده پروفایل

استاد

• Complex Geometry
• Differential Geometry
• Several Complex Variables
• +۳ مورد دیگر

Roles & Affiliations Sai-Kee Yeung is a Professor of Mathematics at Purdue University's Department of Mathematics, part of the College of Science. He has held teaching roles, including MA166 and MA265 in Spring 2024, and leads the Geometric Analysis Seminar (2022-2023). Education Bachelor of Science, University of Hong Kong PhD in Mathematics, Columbia University Research Interests Yeung focuses on Complex Geometry , Differential Geometry , Several Complex Variables , and Algebraic Geometry . His work explores topics like fake projective planes, hyperbolicity, and arithmetic groups, with applications to moduli spaces and geometric analysis. Scientific Awards Sloan Research Fellow Fellow, American Mathematical Society JMSJ Outstanding Paper Prize (2013) for 'Non-existence of arithmetic fake compact Hermitian symmetric spaces' Key Contributions Yeung's research includes foundational work on fake projective planes, geometric superrigidity, and hyperbolicity of complex manifolds. He has contributed to understanding arithmetic structures in locally symmetric spaces and the geometry of moduli spaces. His recent work extends to Carathéodory hyperbolicity and symplectic 4-manifolds.

Huy Nguyenمشاهده پروفایل

استاد

• Geometric Analysis
• Geometric Flows
• Partial Differential Equations
• +۳ مورد دیگر

Dr. Huy Nguyen is a Reader in Geometry and Mathematics at Queen Mary University of London, affiliated with the School of Mathematical Sciences and the Centre for Geometry, Analysis and Gravitation. He holds a PhD from the Australian National University (2008) and has held positions at institutions including the Max Planck Society, University of Warwick, and University of Queensland. His research focuses on geometric analysis, including geometric flows (e.g., Ricci flow, mean curvature flow), conformal immersions, Willmore surfaces, and phase transitions modeled by equations like Allen-Cahn and Ginzburg-Landau. Education: PhD in Mathematics, Australian National University, 2008 Grants: EPSRC Grant (2024–2027): Geometric Flows and the Dynamics of Phase Transitions (£413,909) EPSRC Grant (2019–2022): Advances in Mean Curvature Flow (£613,223) Research interests emphasize geometric flows' analytical aspects and their applications, with a focus on curvature-driven evolution equations. His work often bridges differential geometry and partial differential equations, addressing topics like singularity formation, energy quantization, and geometric invariants. He has supervised at least one PhD student, Florian Litzinger. His contributions include foundational results on self-shrinkers, ancient solutions, and conformal invariants in high codimension settings.

Renato Feresمشاهده پروفایل

استاد

• Differential Geometry
• Dynamical Systems
• Stochastic Processes
• +۴ مورد دیگر

Renato Feres is a Professor of Mathematics at Washington University in St. Louis, affiliated with the Department of Mathematics within the Arts & Sciences college. He holds a PhD from the California Institute of Technology. His research focuses on differential geometry, dynamical systems, and stochastic dynamics, with recent work exploring random billiards and stochastic thermodynamics. Feres has taught advanced courses such as 'The Mathematics of Quantum Theory,' 'Differential Geometry,' and 'Stochastic Processes.' His research interests bridge pure and applied mathematics, with contributions to geometric mechanics, quantum theory, and mathematical physics. Recent courses include Math 401: Honors Seminar in Math (Spring 2025) Math 444: The Mathematics of Quantum Theory (Spring 2025) Math 5047: Geometry/Topology III: Differential Geometry (Fall 2024) His research explores stochastic dynamics (e.g., random billiards, stochastic thermodynamics), differential geometry (connections to mechanical systems), and mathematical physics. Recent publications address reaction-advection-diffusion systems, chaotic billiards, and entropy production in random systems. Feres has advised numerous graduate students through his teaching and research mentorship, though specific student names are not listed. He collaborates with researchers in chemical engineering and applied mathematics, contributing to interdisciplinary projects in reaction-diffusion systems and transport phenomena. No scientific awards are explicitly mentioned in the provided materials. His work is supported by ongoing research activities within the university's mathematics department and collaborations with institutions like the California Institute of Technology and the University of Michigan.

• Tomography
• Inverse Problems
• Medical Imaging
• +۳ مورد دیگر

Peter Elbau is a Senior Lecturer (Privatdozent) in the Faculty of Mathematics at [University Name, if known]. His research focuses on mathematical imaging techniques, particularly in tomography and inverse problems, with applications in medical and biomedical imaging. He is actively involved in projects such as the "Tomography across the scales" initiative, aiming to develop quantitative imaging methods from molecular to astronomical scales. His primary research interests include the mathematical foundations of tomographic imaging, inverse scattering problems, and quantitative parameter reconstruction in optical coherence tomography (OCT) and photoacoustic imaging. He explores topics such as motion detection in diffraction tomography, curvature flows on surfaces, and the development of algorithms for medical diagnostics and material characterization. Elbau leads the research project "Tomography across the scales - Quantitative optical imaging from single molecules to stars," funded from 2018 to 2026. This project highlights his role in bridging fundamental mathematical research with practical applications in imaging technologies. His work often involves cross-disciplinary teams focusing on biomedical and material imaging challenges.

Mario Selvaggioمشاهده پروفایل

استادیار

• Shared control/autonomy
• Robot teleoperation
• Passivity-based control
• +۷ مورد دیگر

Mario Selvaggio is an Assistant Professor at the Department of Electrical Engineering and Information Technology, University of Naples Federico II. He actively contributes to robotics research through his involvement with PRISMA Lab and ICAROS , while co-founding spinoff companies BeyondShape and Herobots . His academic background includes a Ph.D. in Information Technology and Electrical Engineering (2020) under Prof. Bruno Siciliano, with previous degrees in Mechanical Engineering (2013, 2015). Ph.D. in Information Technology and Electrical Engineering (2020) Bachelor's and Master's in Mechanical Engineering (2013, 2015) His research interests focus on shared control/autonomy, robot teleoperation, passivity-based control, soft robotics, and robotic surgery. He has developed innovative solutions including: Shared-control teleoperation for soft growing robots Non-prehensile object transportation frameworks Advanced modeling of cable-suspended dual-arm systems Medical robotics with force-sensor equipped tools Virtual reality-based teleoperation architectures Recent publications (2021-2025) span topics from semi-autonomous aerial manipulation to cyber-physical measurement systems, with emphasis on human-robot interaction and industrial applications. He serves as Associate Editor for several IEEE conferences and journals. Scientific Awards IEEE RAS Technical Committee on Haptics grant ($2500, 2018) Second prize at Bioengineering Congress (2018) Finalist for 'Fabrizio Flacco' Best Paper Award (2020) Prof. Selvaggio teaches the Master's Course in Automation Engineering and Robotics (2024/2025) using Robot Operating System (ROS) curriculum. He actively collaborates with international research groups at IRISA/INRIA Rennes , Rainbow team , and University of California Santa Barbara (mechanical engineering department). His research combines theoretical advancements with practical implementations, demonstrated through extensive validation in simulated environments and real robotic platforms including KUKA LWR IIWA manipulators, dVRK systems, and humanoid platforms.

Maolin Gaoمشاهده پروفایل

پژوهشگر

• Computer Vision
• 3D Shape Matching
• Geometry Processing
• +۵ مورد دیگر

Maolin Gao is a Researcher at the Computer Vision Group , TUM School of Computation, Information and Technology , and a PhD candidate at the Department of Informatics 9 , Technical University of Munich (TUM). He is supervised by Prof. Daniel Cremers and was a visiting scholar at Stanford University's Geometric Computing Lab under Prof. Leonidas J. Guibas in Summer 2024. Education : Bachelor in Physics from Tongji University (Shanghai), with exchange experience at TUM and RWTH Aachen Master's in Electrical Engineering and Information Technology from TUM, thesis on Blind Deconvolution supervised by Dr. Michael Hirsch, Prof. Philipp Hennig, and Prof. Bernhard Schölkopf at Max Planck Institute for Intelligent Systems (MPI-IS) in Tübingen Research Focus : Maolin's work bridges geometry and learning to enhance human and machine understanding of 2D/3D data. His research spans 3D shape matching , non-rigid correspondence , geometric consistency , and deep learning applications in computer vision and graphics. He also explores photometric stereo , bundle adjustment , and scale-invariant matching methods . Article Trends : His publications emphasize 3D shape analysis , including partial-to-partial matching , non-rigid deformations , and geometric consistency algorithms . Recent works like EchoMatch (CVPR 2025) and CoE (3DV 2025) highlight advancements in point cloud correspondences and cycle-consistency . Earlier papers address distributed optimization (3DV 2020) and isometric multi-shape matching (CVPR 2021). Scientific Awards : Oral Presentation Award at 3DV 2020 for Distributed Photometric Bundle Adjustment Labs & Collaborations : Affiliated with TUM CVAI Lab and Stanford Geometric Computing Lab . Collaborates with researchers like Prof. Florian Bernard and Dr. Michael Hirsch.

Aljaž Božičمشاهده پروفایل

پژوهشگر

• Computer Vision
• Computer Graphics
• Artificial Intelligence
• +۷ مورد دیگر

Aljaž Božič is a Research Scientist at Meta Reality Labs Research , focusing on neural rendering, 3D reconstruction, and AI-driven geometry modeling. He earned his Ph.D. in Computer Science from the Technical University of Munich (TUM) and holds a Master's in Computer Science from TUM and a Bachelor's in Mathematics from the University of Ljubljana . His research spans computer vision, graphics, and artificial intelligence , with a focus on neural rendering , generative AI , and 3D deformable object modeling , targeting applications in VR/AR and robotics. His work includes time-consistent dynamic scene reconstruction (SceNeRFlow), volumetric hair appearance modeling, and high-fidelity walkable VR spaces (VR-NeRF), alongside efficient NeRF distillation and calibration methods (Neural Lens Modeling). Key article trends include Transformer-based monocular reconstruction (TransformerFusion), neural parametric shape models (NPMs), and self-supervised non-rigid tracking (Neural Deformation Graphs). He has contributed to open-source projects like the TransformerFusion GitHub repository , emphasizing MIT-licensed tools for scene reconstruction. At TUM, he served as a Teaching Assistant for courses such as 3D Scanning and Spatial Learning and 3D Vision Seminar , bridging academic instruction with research innovation. His work integrates advanced neural networks with practical optimization techniques, advancing fields like RGB-D reconstruction (DeepDeform) and variational SLAM.

Rana Ashkarمشاهده پروفایل

استادیار

• Experimental Condensed Matter Physics
• Soft Matter Physics
• Biological Physics
• +۳ مورد دیگر

Rana Ashkar is an Assistant Professor in the Department of Physics at Virginia Tech's College of Science. His research focuses on experimental condensed matter physics and soft matter/biological physics, with particular emphasis on lipid membranes and polymer systems. He leads the Ashkar Research Group, which explores biomimetic lipid membranes, polymeric materials, and their applications in biophysical systems. Key research themes include membrane dynamics, cholesterol effects, and neutron scattering techniques. His work integrates interdisciplinary approaches, combining neutron spin echo spectroscopy, molecular dynamics simulations, and experimental materials science. Recent studies investigate lipid membrane stiffness, protein-membrane interactions, and functional polymers for nanofluidic applications. The group's projects span from fundamental physics to applied health and disease contexts, such as drug delivery systems and membrane stability enhancement. Ashkar's research has produced over 50 peer-reviewed articles since 2015, with notable contributions on cholesterol-induced membrane stiffening and pHLIP peptide effects. His lab collaborates with multidisciplinary teams to advance neutron scattering methodologies and apply them to complex biological systems. Current efforts include developing stimuli-responsive polymer brushes and studying lipid phase behavior under varying conditions.

Robert Connellyمشاهده پروفایل

استاد

• Discrete Geometry
• Rigidity Theory
• Computational Geometry
• +۳ مورد دیگر

Robert Connelly is a Professor in the Department of Mathematics at Cornell University, affiliated with the College of Arts and Sciences. His research focuses on Discrete Geometry, Rigidity Theory, and Computational Geometry , particularly exploring tensegrity structures, flexible surfaces, and their applications in robotics, protein folding, and materials science. He has taught courses including Calculus I and supervised graduate research. Key research interests include the rigidity of discrete structures, sphere packings, and geometric optimization. His work on the 'Bellows Conjecture' demonstrated that flexible surfaces maintain constant volume during deformation, merging algebraic geometry and topology. He has authored over 150 publications and contributed to foundational texts in rigidity theory. Teaching roles include leading the Calculus II course in 2020 and supervising independent research projects. His work spans theoretical advancements and applications in engineering and physics, emphasizing interdisciplinary approaches to geometric problems.