جستجوی استاد راهنمای دانشگاهی

Prof. Matthias Nießner is a Professor at the Technical University of Munich, leading the Visual Computing Lab. His research intersects computer graphics, vision, and AI, focusing on 3D reconstruction, semantic understanding, and AI-driven video synthesis. He holds a PhD from the University of Erlangen-Nuremberg (2013) and was a Visiting Assistant Professor at Stanford University (2013–2017). Notable awards include the ERC Starting Grant (2018), Nvidia Professorship Award, and Eurographics Young Researcher Award (2019). His work has been featured in mainstream media and led to startups like Synthesia Inc. Research spans Gaussian splatting, neural radiance fields, and generative AI for 3D avatars. Over 150 publications include SIGGRAPH, CVPR, and ECCV, with best paper awards. Projects like Face2Face and ScanNet have driven innovation in facial reenactment and 3D scene datasets. Education: PhD in Computer Science, University of Erlangen-Nuremberg (2013) Diploma in Computer Science, University of Erlangen-Nuremberg (2010) Research Interests: 3D digitization, neural rendering, generative AI, non-rigid reconstruction, and applications in AR/VR. Awards: ERC Starting Grant (2018) Nvidia Professorship Award (2018) Google Faculty Award (2018) SIGGRAPH Best Emerging Tech Award (2016) Grants: Over €1.5M from ERC and industry partnerships. Labs/Teams: Visual Computing Lab at TUM and Synthesia Inc. (co-founder). Key projects include ScanNet (large 3D indoor dataset), Face2Face (real-time facial reenactment), and Gaussian-based 3D avatars. Current work focuses on diffusion models, neural radiance fields, and AI-generated media detection.

• 3D Digitization
• Computer Graphics
• Computer Vision
• +۷ مورد دیگر

Prof. Matthias Nießner is a Professor at the Technical University of Munich , where he leads the Visual Computing Lab . Prior to this, he held a Visiting Assistant Professor position at Stanford University . His work bridges computer vision , graphics , and machine learning , focusing on 3D reconstruction , semantic scene understanding , and AI-driven video synthesis . Prof. Nießner has published over 150 works in top venues like SIGGRAPH , CVPR , and ECCV , with several receiving best paper awards (SIGCHI’14, HPG’15, SPG’18, SIGGRAPH’16 Emerging Tech). His research has garnered international media attention, including features in the New York Times , Wall Street Journal , and MIT Technological Review , as well as TV demonstrations (e.g., Jimmy Kimmel Live for Face2Face technology). Awards : TUM-IAS Rudolph Moessbauer Fellowship (2017–ongoing) Google Faculty Award (2017) Nvidia Professor Partnership Award (2018) ERC Starting Grant (2018, €1.5M) Eurographics Young Researcher Award (2019) Research Trends : 3D Gaussian Splatting for real-time rendering Neural Radiance Fields (NeRF) with mesh supervision Audio-driven facial animation via diffusion models Latent space diffusion for 3D scenes Self-supervised and zero-shot methods for 3D and image analysis As a co-founder and director of Synthesia Inc. , he drives democratization of synthetic media. His YouTube channel has over 5 million views, reflecting his impact beyond academia.

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

Lukas Hiendlmeier is a Researcher at the Technical University of Munich, affiliated with the Munich Institute of Biomedical Engineering (MIBE) and the Associate Professorship of Neuroelectronics led by Prof. Bernhard Wolfrum. He holds a Master of Science in Mechanical Engineering from TUM. His research focuses on advanced fabrication technologies such as 3D printing, laser micromachining, and polymer material science, with applications in neuroelectronics and biomedical devices. Hiendlmeier’s work emphasizes developing self-folding bioelectronic interfaces, flexible electrodes, and implantable neural devices for peripheral nerve interfacing. His contributions include innovations in 4D printing techniques, thermoformed materials, and origami-inspired electrode designs. He collaborates on projects involving cell manipulation, microfluidic lab-on-a-chip systems, and closed-loop neural stimulation systems. Publications span topics like self-folding bioelectronics, flexible sensor arrays, and nanorobotics, showcasing expertise in materials science and biomedical engineering. His research bridges fundamental science and translational applications, addressing challenges in neural prosthetics, wearable diagnostics, and tissue engineering. Hiendlmeier is actively involved in the neuroTUM initiative and contributes to interdisciplinary teams at TUM, focusing on advancing neurotechnology through innovative fabrication methods and biomaterials.

• Neuroelectronics
• Biomedical Engineering
• Microfabrication
• +۵ مورد دیگر

Sergey Tulyakov is the Director of Research at Snap Inc. , leading the Creative Vision team. His work focuses on enhancing creator capabilities through computer vision , machine learning , and generative AI , with applications in 2D/3D/4D video generation, editing, and personalization. He pioneered video generation frameworks like MoCoGAN and First Order Motion Model , and has been recognized for BEST IN SHOW AWARD at SIGGRAPH Real-Time Live! 2020. PhD (2012-2017): University of Trento, Italy MSc (2010): Belorusian State University of Informatics and Radioelectronics B.Eng (2009): Belorusian State University of Informatics and Radioelectronics His research interests span computer vision , generative models , 3D reconstruction , and personalization , with a focus on making large models efficient and mobile-compatible . Recent publications highlight advancements in 4D video generation , text-guided 3D composition , and lightweight architectures . Key scientific awards include the SIGGRAPH Real-Time Live! 2020 Best in Show for Interactive Video Stylization. He has also served on technical program committees for top-tier conferences like CVPR, ICCV, SIGGRAPH, and NeurIPS since 2022. His team organizes tutorials and keynotes, including courses on Deep Generative Models and Efficient Neural Networks . While no direct student names are listed, his collaborative work spans 60+ top-tier publications.

• Computer Vision
• Machine Learning
• Generative AI
• +۳ مورد دیگر

Tania de León Yong is a Mexican visual artist and academic currently serving as Assistant Professor in Experimental Animation at the Academy of Media Arts Cologne (Kunsthochschule für Medien Köln) while also holding a tenured professorship at the Faculty of Arts and Design (FAD UNAM) in Mexico City. Her career spans institutions including Universitat Jaume I (Spain) and Tecnológico de Monterrey (ITESM). Bachelor's in Visual Arts (UNAM) Master's in Multimedia Internet Production (UPV Spain) PhD in Fine Arts (UPV Spain 2005) Master's in History of Art (UNAM) As a specialist in experimental animation theory and practice, her work explores time perception through installations and films using traditional techniques like engraving alongside emerging technologies like VR. She has exhibited in 11 solo shows and over 50 collectives across Canada, Germany, Mexico, and other countries. Key publications include 2020 research on VR drawing and 2017 analyses of Kentridge/Yamamura's work. Her 2018 award-winning Chronography series investigates temporal structures through animation loops and interactive installations. Grants include PAPIME UNAM for VR environments and PECDAT 2019 for artistic books. Scientific Awards: 2013 National Acknowledgment for Young Academic (UNAM) 2018 International Silent Film Festival Experimental Prize She has mentored over 25 animation students in postgraduate programs and developed educational media for Mexico's National University Open Learning platform. Her research bridges traditional media like etching with digital innovation, focusing on expanded animation formats and temporal storytelling.

• Experimental animation
• Drawing
• Engraving
• +۶ مورد دیگر

Andreas Fender is a researcher at the Visualization Institute of the University of Stuttgart (VISUS), affiliated with the Schmalstieg Working Group. He has held postdoctoral positions at ETH Zurich (Switzerland) and the University of Sussex (England), following his PhD at Aarhus University (Denmark) with an internship at Microsoft Research (USA). His research focuses on Human-Computer Interaction, particularly in Augmented and Virtual Reality (AR/VR) and camera networks. He develops novel input methods for productivity and artistic expression in Mixed Reality environments, creating hybrid physical-digital systems like OptiBasePen, PressurePick, InfinitePaint, and DeltaPen. Recent work includes contributions to Mixed Reality input methods (UIST 2024, CHI 2022) and collaborative systems (Asynchronous Reality). Projects like GuitarPie (UIST 2025) and OptiBasePen (UIST 2024) demonstrate his focus on mobile interaction and ergonomic design. Scientific accolades include the Best paper award at CHI 2022 Best application paper award at ISS 2019 . At VISUS, he collaborates with Dieter Schmalstieg and leads hiring for PhD students and PostDocs exploring physical-digital workflows, artistic tools, and critical AI engagement. His work integrates machine learning, hardware prototyping, and spatial user interfaces to redefine future workplaces.

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۶ مورد دیگر

Jan Novák is a researcher in computer graphics with a focus on physically-based rendering and global illumination. He completed his PhD at Karlsruhe Institute of Technology (KIT) in 2014 under Carsten Dachsbacher, with prior degrees from Czech Technical University in Prague and academic experience at Union College (US) and Nanyang Technological University (Singapore). He has held research internships at Disney Research Zurich (2011) and Pixar Animation Studios (2012), before joining Walt Disney Animation Studios in 2013 and returning to Disney Research Zurich in 2014. Education : B.Sc. and M.Sc. from Czech Technical University in Prague (2007-2009) PhD in Computer Science at Karlsruhe Institute of Technology (2014) Research Interests include global illumination, participating media, ray tracing acceleration techniques, and GPU computing. His work addresses challenges in realistic light transport simulation for scenes with complex volumetric effects and glossy materials. Publication Trends reveal a consistent focus on light transport optimization through GPU-accelerated techniques. Key contributions span visibility caching, path-space manipulation, beam/light representations for volumetric effects, and bias compensation methods. His research bridges theoretical advancements with practical implementations for scalable rendering systems. Teaching Experience includes multiple practical courses on GPU computing and graphics programming at KIT between 2010-2013. He also served as a reviewer for prestigious venues including ACM Transactions on Graphics, Eurographics, and SIGGRAPH conferences. Student Supervision covers bachelor and diploma theses on advanced rendering topics, including visibility caching techniques, virtual spherical lights, subsurface scattering algorithms, and 2D path tracing implementations.

• Global Illumination
• Participating Media
• Ray Tracing
• +۳ مورد دیگر

Tobias Isenberg is a Researcher affiliated with INRIA-Saclay, France, and has academic ties to the University of Paderborn and Ruhr University Bochum in Germany. He holds a Ph.D. from Otto-von-Guericke University Magdeburg (2004). His work focuses on advanced visualization techniques, particularly in interactive and illustrative visualization, human-computer interaction, and cross-reality systems (VR/AR). He has contributed significantly to the fields of molecular visualization, 3D data interaction, and stylization methods. Key research interests include spatial data exploration, user-centric design for 3D visualization tools, and the integration of machine learning with visualization systems. He has collaborated extensively with institutions like the University of Magdeburg, Ruhr University Bochum, and international teams on projects involving medical imaging, data storytelling, and perceptual evaluation of visual representations. His publications emphasize innovative interaction techniques, such as touch-based and tangible input for 3D data manipulation, and the application of visualization in domains like cell biology and molecular modeling. He is active in conferences like IEEE VIS, EuroVis, and CHI, contributing to the advancement of visualization research and its practical applications.

• Computer Graphics
• Data Visualization
• Human-Computer Interaction
• +۳ مورد دیگر

Victoria Fernandez Abrevaya is a post-doctoral researcher at the Max Planck Institute for Intelligent Systems (Perceiving Systems department) in Germany. She holds a PhD from Inria Grenoble (France) under Professors Edmond Boyer and Stefanie Wuhrer, and a MSc in Computer Science from the University of Buenos Aires, Argentina. Her work focuses on 3D reconstruction and understanding of humans from 2D data, with emphasis on facial animation, neural rendering, and generative models. Research interests: 3D computer vision and shape modeling Neural rendering techniques Diffusion models for motion and appearance synthesis Biometric fairness in face analysis Real-time face capture systems Geometry-constrained multi-human rendering Recent work explores occluded face expression reconstruction (OFEr 2025), interactive dynamics modeling (InterDyn 2025), and latent realignment for motion diffusion (Lead 2025). Her SPARK system (2025) enables real-time monocular face capture through self-supervised learning. Prior contributions include FLAME (2023), a popular 3D face model framework, and work on multilinear autoencoders for dynamic facial analysis (2018). She co-developed ImAvatar (2022), an implicit morphable head avatar system from videos.

• 3D Computer Vision
• Shape Modeling
• Virtual Humans
• +۴ مورد دیگر

Sabine Nöbel is a researcher at the Martin Luther University Halle-Wittenberg, affiliated with the Faculty of Natural Sciences I - Biosciences, Institute of Biology, Zoology, Animal Ecology group. Her work focuses on mate copying, cultural evolution, and social learning mechanisms in insects, particularly Drosophila melanogaster. Current affiliation: Institute of Biology, Zoology, Animal Ecology group, University of Halle Research areas: Mate copying, cultural evolution, social learning in insects Email: sabine.noebel@zoologie.uni-halle.de Nöbel's research explores how social behavior and learning influence mate choice, with studies on neural substrates like mushroom bodies, neurotransmitters (dopamine, serotonin), and genetic factors (Rutabaga). Her work has implications for understanding cultural transmission mechanisms across species. Recent publications demonstrate her focus on mate copying localization in Drosophila brains, comparative studies across species, and theoretical frameworks for cultural evolution. Collaborations include Étienne Danchin, Guillaume Isabel, and others. Her laboratory investigates animal ecology and evolutionary behavioral patterns, using experimental and comparative methods to uncover the biological basis of social learning.

• Evolutionary Biology
• Animal Behavior
• Cultural Evolution
• +۳ مورد دیگر

Prof. Dr. Björn Busse is a Professor and Research Group Leader at the Institute of Osteology and Biomechanics within the Center for Experimental Medicine at the University Medical Center Hamburg-Eppendorf (UKE). His primary research focus is on bone material quality, particularly investigating the structural and compositional changes in bone under conditions like diabetes, aging, and disease. His work integrates biomechanical analysis, imaging techniques, and molecular biology to understand bone fragility and disease mechanisms. Research interests include bone microstructure, osteocyte function, and the impact of metabolic disorders on bone health. Key areas of exploration are diabetes-induced bone alterations, osteoporosis pathogenesis, and advanced imaging methodologies for bone assessment. Recent studies highlight the role of collagen properties, mineralization patterns, and osteocyte networks in fracture susceptibility. Publications emphasize interdisciplinary approaches, such as analyzing bone material quality in murine models and human clinical samples. His work frequently addresses translational applications, including biomaterials for bone repair and therapeutic strategies for bone disease. Collaborations span institutions in Germany, Europe, and globally, focusing on zebrafish models and clinical bone biopsies. No scientific awards are explicitly listed, but his contributions to bone research are widely recognized in peer-reviewed journals. He advises a dynamic research group and collaborates on grants exploring bone biology and clinical interventions. Laboratory activities center on biomechanical testing, histology, and advanced imaging technologies.

• Bone Material Quality
• Bone Biology
• Osteoporosis
• +۵ مورد دیگر

Justus Thies is a Professor at the Technical University Darmstadt (since September 2023), leading research at the intersection of computer graphics , computer vision , and machine learning . His work focuses on real-time 3D reconstruction, tracking, and photorealistic rendering of humans and environments using commodity hardware, with applications in AR/VR , movie production , and 3D telepresence for collaborative virtual environments. Current faculty member at Technical University Darmstadt Research themes: 3D reconstruction, neural rendering, hybrid machine learning/Graphics methods Applications: AR/VR, telepresence, human-environment modeling His research emphasizes neural rendering and deep learning approaches for facial and body modeling, including projects like GEM (Gaussian Eigen Models), SynShot (synthetic prior inversion), and TeCH (text-guided clothed human reconstruction). Collaborations include institutions like Max Planck Institute for Intelligent Systems and Google . Key trends in his recent publications include: neural Gaussian splatting for real-time avatars, diffusion models for speech/audio-driven animation, and hybrid approaches that combine classical computer graphics principles with modern machine learning techniques. These methods address challenges in generalizability , controllability , and editability of 3D representations. Notable research contributions since 2014 include advancements in monocular facial reconstruction , real-time expression transfer , and neural rendering techniques that enable 3D scene synthesis from unpaired or sparse data. His work has received significant recognition, including Face2Face featured in Communications of the ACM (2019) and multiple publications at top venues like CVPR , ECCV , and SIGGRAPH .

• Computer Graphics
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Torsten Hopp is a Research Associate at the Institute for Data Processing and Electronics (IPE) at Karlsruhe Institute of Technology (KIT). His work focuses on advanced medical imaging technologies, particularly 3D ultrasound computer tomography (USCT) and its integration with MRI and X-ray modalities for breast cancer diagnosis. Research Interests: Ultrasound tomography system development Image registration algorithms Machine learning applications in medical imaging Biomechanical and computational modeling GPU-accelerated image reconstruction Multimodal imaging for clinical workflows Publication Trends: Torsten Hopp has contributed extensively to the evolution of 3D USCT, with recent work emphasizing deep learning integration , refraction correction , and patient-specific modeling . His research bridges hardware innovation (e.g., PtQube device) with computational methods for clinical translation. Labs & Teams: Affiliated with KIT's Institute for Data Processing and Electronics , he collaborates on projects like the High Data Rate Processing and Analysis Initiative , advancing ultrasound tomography for breast cancer screening.

• Medical Imaging
• Ultrasound Tomography
• Image Registration
• +۴ مورد دیگر

Katharina Koch serves as Junior Research Group Leader at the Leibniz Institute for Environmental Medical Research (IUF) in Düsseldorf, Germany, where she heads the Environmental Toxicants and the Brain Research group. Her work focuses on developing and validating alternative methods to animal testing for assessing neurotoxicity, with particular emphasis on developmental and adult neurotoxicity. She collaborates extensively with national and international partners including researchers from Ruhr University Bochum, University of Konstanz, and institutions in the United States and Switzerland. Dr. Koch's research interests center on creating cross-species 3D neurosphere test systems for characterizing developmental neurotoxicity (DNT), which form an integral component of the DNT in vitro battery supported by EFSA and OECD. Her work extends to endocrine-mediated DNT, embryotoxicity, and developmental immunotoxicity. She has established several neurotoxicity Adverse Outcome Pathways (AOPs) and contributes to novel toxicology concepts for cognitive dysfunction with regulatory applications. Her group's work on BrainSphere models is advancing next-generation risk assessment within the EU-PARK project and investigating Cockayne syndrome B disease mechanisms. Her research group operates within a robust funding framework, with projects supported by the German Research Foundation (DFG), European Union Horizon programs, the US National Toxicology Program, and industry partnerships through Leibniz Alternatives. The group has developed AI-based cell identification from high-content imaging analyses and established biostatistical pipelines for comparative data processing. Dr. Koch actively mentors a team of doctoral students, master's students, and postdoctoral researchers, fostering the next generation of toxicology scientists. Her collaborative network spans multiple disciplines, connecting environmental science, neuroscience, and regulatory toxicology to advance human-relevant testing approaches that reduce reliance on animal models.

• Developmental Neurotoxicity
• Adult Neurotoxicity
• Alternative Methods to Animal Testing
• +۷ مورد دیگر

Professor Tobias Günther is affiliated with the Department of Computer Science at Friedrich-Alexander-University Erlangen-Nürnberg (FAU), where he holds the Chair for Visual Computing. His research focuses on advanced visualization techniques, including progressive rendering, flow visualization, and image processing. Email: tobias.guenther@fau.de Office: Room 01.115-128, Cauerstraße 11, 91058 Erlangen Website: Visual Computing Group Günther’s work spans multiple areas within visual computing: Scientific Visualization: Tools for analyzing complex data like jet stream core lines. Computer Graphics: Techniques for stylized rendering (e.g., caustics blending, image triangulation). Data Processing: Methods for geospatial and fluid dynamics data. Notable contributions include: Eurographics 2016 Paper: Stylized Caustics rendering algorithm. EuroVis 2016 Paper: MCFTLE for Lyapunov exponent visualization. GitHub Repositories: Open-source implementations of his research.

• Computer Graphics
• Data Visualization
• Scientific Visualization
• +۳ مورد دیگر