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Lars LinsenView profile

Professor

• Interactive Visual Analysis
• Medical Visualization
• Scientific Visualization
• +4 more

Prof. Dr.-Ing. Lars Linsen is a full Professor of Computer Science at the Westfälische Wilhelms-Universität (WWU) Münster, leading the VISualization & graphIX (VISIX) group. His primary affiliation is the Institute of Computer Science within the Faculty of Mathematics and Computer Science. He holds adjunct professorships at Jacobs University, Bremen, and has held previous academic roles including Full Professor at Jacobs University (2012–2017) and Associate/Assistant Professor roles in Germany and the U.S. His research focuses on interactive visual analysis, medical visualization, and scientific visualization, with applications in life sciences and engineering. Education: PhD (Dr.-Ing.) in Computer Science from Universität Karlsruhe (2001), M.Sc. (Diplom) in Computer Science (1997), B.Sc. (Vordiplom) in Computer Science (1994). Awards: IEEE Visualization Design Contest Winner (2008, 2022, 2018), Preis des Fördervereins des Forschungszentrum Informatik (2002). Research Highlights: Develops visualization tools for medical imaging (e.g., mass spectrometry imaging, MRI data analysis) and physical simulations (e.g., wildfire spread analysis, asteroid impact modeling). Active in EU-funded projects like Pig-Pro-QuO (surface coatings) and cells-in-motion initiatives. Supervised over 20 PhD/MS advisees, including notable graduates in medical visualization and simulation ensemble analysis. Publications: Over 100 peer-reviewed articles in top venues like IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, and EuroVis. Key works include SciVis contest-winning wildfire analysis frameworks and medical visualization tools for stenosis detection. Teaching: Offers courses on visualization, computer graphics, and computational science. Actively involved in thesis supervision and curriculum development at both WWU Münster and Jacobs University. Grants & Collaborations: Principal investigator on DFG-funded projects (e.g., hemodynamics simulations, ensemble visualization) and industry collaborations (e.g., Tascon GmbH for coating quality analysis). Member of the Cells-in-Motion Interfaculty Centre and CDH board at WWU.

James Reed FarreView profile

Researcher

• Hyperbolic Geometry
• Dynamics
• Teichmüller Theory
• +4 more

James Reed Farre is a Researcher and Research Group Leader at the Max Planck Institute for Mathematics in the Sciences (MPI MiS) in Leipzig, leading the Geometry on Surfaces group since October 2023. Previously, he held roles including Juniorprofessor (W1/Assistant Professor) at Ruprecht-Karls-Universität Heidelberg (2022–2023), Gibbs Assistant Professor at Yale University (2021–2022), and an NSF Postdoctoral Fellow at Yale (2019–2020). He earned his PhD in Mathematics from the University of Utah in 2019 under Kenneth Bromberg. His research focuses on hyperbolic geometry, dynamics of earthquake flows, Teichmüller theory, and geometric group theory. Notable areas include affine laminations, hyperconvex representations of surface groups, and ergodic theory in geometric contexts. Farre has contributed to understanding minimal surfaces in hyperbolic 3-manifolds and has explored applications of bounded cohomology to discrete groups. Publications span topics like shear-shape cocycles, horocycle orbit closures, and Hamiltonian flows for pseudo-Anosov mapping classes. His work bridges pure geometry with computational methods, as seen in CAD algorithm development for rigid subsystems. Farre is actively involved in mentoring and has contributed to STEM education initiatives, including the Freshman Research Initiative.

Udo FiedlerView profile

Professor

• Manufacturing Engineering
• High-Speed Machining
• Production Engineering
• +7 more

Prof. Dr.-Ing. Udo Fiedler is a faculty member at the Technical University of Central Hesse (THM), Department of Business Administration and Economics, where he serves as Head of the Production Engineering Laboratory and Member of the Senate. His academic work focuses on manufacturing engineering with specialization in high-speed machining, production processes, and machine tools. His research interests include: High-Speed Machining (HSC) and precision manufacturing Green machining of sintered parts in the green state Process optimization using statistical experimental design Machine tool technology and NC programming Industry 4.0 applications in manufacturing education Process monitoring and control for increased manufacturing safety Prof. Fiedler's publication record demonstrates an evolution from fundamental machining processes toward integrating AI with traditional manufacturing. His recent work shows strong emphasis on applying artificial intelligence to quality prediction, optimizing green machining processes, and implementing Industry 4.0 concepts through learning factory approaches, bridging traditional manufacturing engineering with modern digital technologies. His significant scientific contributions include: Development of methods for NC programming of complex workpieces Research on stability lobe diagrams for milling processes Studies comparing different production methods including HSC, EDM, and generative processes Work on mechatronic tool holders for process monitoring Applications in the ophthalmic industry for precision machining of spectacle lenses Prof. Fiedler teaches multiple courses at THM including Factory Planning/Ergonomics, Handling and Assembly Technology, Innovative Manufacturing Processes, and Machine Tools at the bachelor's level, and Learning Factory 1 and 2 at the master's level. He leads current research projects including Klag-Robotics (2023-2025), Loewe Project OST (2018-2021), and GrünSpan (2014-2015), demonstrating sustained research activity across multiple manufacturing domains.

• Hyperbolic Geometry
• Low-Dimensional Topology
• Teichmüller Theory
• +4 more

James Reed Farre is a Researcher and Head of the Geometry Research Group at the Max Planck Institute for Mathematics in the Sciences. He holds a PhD in Mathematics from the University of Utah (2019), completed an NSF Postdoctoral Fellowship at Yale University (2019-2021), and served as a Juniorprofessor (W1/Assistant Professor) at Heidelberg University (2022-2023). His academic journey includes postdoctoral positions in Heidelberg’s research group under Beatrice Pozzetti and a Gibbs Assistant Professorship at Yale. Farre’s research focuses on hyperbolic geometry, Teichmüller theory, dynamical systems, and geometric group theory. Key areas include earthquake flows, character varieties, convex projective structures, and bounded cohomology. His work bridges low-dimensional topology with ergodic theory and geometric analysis. Publications (2016–2024) explore topics like affine laminations, hyperconvex representations, and minimal surfaces in hyperbolic 3-manifolds. Recent work addresses Mirzakhani’s twist torus conjecture and Hamiltonian flows for surface group representations. Farre frequently collaborates with leading mathematicians such as Yair Minsky, Beatrice Pozzetti, and Anna Wienhard. He has contributed to algorithmic CAD research and STEM education initiatives, including a chapter in *Directions for Mathematics Research Experience for Undergraduates* (2015). His current role involves leading a research group focused on geometry and dynamics at the Max Planck Institute.

Pascal SasdrichView profile

Researcher

• Hardware Security
• Secure Processor Design
• Computer-Aided Security
• +3 more

Pascal Sasdrich is a Researcher at Ruhr University Bochum, Germany, affiliated with the Faculty of Computer Science and the Security Engineering department. He holds a PhD in IT-Security/Information Technology from the same university (2018), following M.Sc. (2015) and B.Sc. (2012) degrees in the same field. His research focuses on Hardware Security, Secure Processor Design, Computer-Aided Security, and Security by Design. He has extensive experience in cryptographic hardware implementations, including countermeasures against side-channel and fault attacks. Teaching includes courses on Processor Security and Implementation of Cryptographic Schemes. His work bridges theoretical security models with practical hardware implementations, emphasizing automated tools and formal verification for secure embedded systems. Key projects include contributions to Project HEP (open-source hardware security chip design) and development of methodologies like EASIMASK for automated masking in hardware. Publications span cryptographic hardware implementations, fault and side-channel countermeasures, and formal security verification. Notable works include combined threshold implementations, secure processor extensions, and automated generation of masked hardware circuits. Current research emphasizes securing embedded systems through holistic design approaches, including ISA extensions and automated EDA tools.

• Artificial Intelligence in Manufacturing
• Production Engineering
• Circular Economy in Manufacturing
• +4 more

Dr. Amon Göppert serves as Professor and Chair of the Intelligence in Quality Sensing group at RWTH Aachen University's Laboratory for Machine Tools and Production Engineering (WZL). His work integrates artificial intelligence into manufacturing processes to enhance quality control, production efficiency, and sustainable practices. Göppert's research spans intelligent manufacturing systems with core expertise in AI-driven production engineering, circular economy applications, and advanced assembly systems. He investigates how machine learning optimizes production ramp-up, disassembly processes, and flexible manufacturing while developing sensor-based quality control solutions for industrial applications. His recent publications reveal strong trends toward AI implementation in production planning, with emphasis on worker assistance systems for disassembly, digital twin applications for real-time control, and mobile robotics in line-less assembly environments. Key focus areas include sustainable manufacturing, metrology innovation, and adaptive scheduling systems. Göppert leads multiple high-impact research initiatives: AI-driven Product Development: Machine learning for smart measurement strategies in metrology MetaVision Consortium: Industrial metaverse applications for AI-supported vision systems Generative AI for Non-Destructive Testing optimization Cluster of Excellence Internet of Production participation As Chief Engineer at WZL, he oversees technical implementation of research projects and collaborates with industry partners to translate innovations into practical manufacturing solutions, particularly in adaptive assembly systems and quality sensing technologies.

Michael WehmöllerView profile

Professor

• Dental Technologies
• Medical Device Innovation
• Biomechanics
• +5 more

Prof. Dr.-Ing. Michael Wehmöller is a full Professor at the Faculty of Engineering and Computer Science, Osnabrück University of Applied Sciences. His career spans roles as a technical director in medical device companies and interdisciplinary research leadership in DFG/EU-funded programs, integrating CAD/CAM, additive manufacturing, and biomechanics. Research interests focus on dental technology , medical device innovation , biomechanics , biomaterials , and 3D printing . His work bridges engineering precision with clinical applications , particularly in craniofacial reconstruction and selective laser melting for implants. The 15 most recent publications highlight trends in computer-aided implant design biodegradable materials testing automated surgical planning with a strong emphasis on clinical translation of engineering solutions. Scientific recognition includes Innovationspreis NRW (1996) Innovationspreis Ruhrgebiet (2002) and ongoing membership in VDI medical technology panels . He leads the Digitale Dentale Technologien lab, focusing on next-generation implant systems.

Max WillseyView profile

Assistant Professor

• Program Optimization
• Programming Languages
• Databases
• +5 more

Max Willsey is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, since 2024. He specializes in program optimization, leveraging techniques from programming languages, databases, and systems to develop robust and accessible compiler frameworks. His research focuses on equality saturation, E-Graphs, and the integration of Datalog with compiler optimizations. He has contributed to advancements in unifying algorithmic approaches, enabling faster and more extensible program analysis. Teaching: CS 164 (Programming Languages and Compilers, Spring 2025), CS 265 (Compiler Optimization, Fall 2024), and CS 294-260 (Declarative Program Analysis and Optimization, Spring 2024). Research Highlights: Development of the egg and egglog projects, co-organizing the EGRAPHS workshop, and leading the EGRAPHS Community for e-graphs researchers. His recent articles highlight trends in unifying traditional hash joins with worst-case optimal joins, applying equality saturation to diverse domains like Datalog and tensor graph optimization, and advancing E-Graphs for program synthesis and formal verification. Scientific Awards: SIGMOD Record Research Highlight, 2024 MIT PL Review Selection, 2024 Distinguished Paper, OOPSLA 2021 and POPL 2021 NSF Graduate Research Fellowship Honorable Mention, 2018 Qualcomm Innovation Fellow, 2019 Service: Committee Member, PLDI 2025, POPL 2025, ASPLOS 2025 Co-organizer, EGRAPHS 2024 and 2023 workshops Interviewer, UC Berkeley Graduate Admissions Committee, 2024

• Clothing Technology
• CAD Pattern Construction
• Technical Textiles Manufacturing
• +3 more

Prof. Katerina Rose is a Professor of Clothing Technology & CAD at Reutlingen University's TEXOVERSUM School of Textiles. She leads the Department of Clothing Technology and CAD, focusing on innovative textile design methodologies. Her expertise includes 3D pattern construction, technical textiles manufacturing, and AI-driven garment design. Her research emphasizes digital avatars for clothing simulation, low-cost 3D scanning technologies, and soft tissue modeling. Notable projects include the InBiO initiative for bio-based automotive interiors and the FLAX365 regional textile chain initiative. She holds a patent (DE102020119338A1) for patternless garment cutting methods. Teaching areas: Clothing Technology, CAD Pattern Construction, Technical Textiles Manufacturing Labs: Sewing & CAD Lab, Material Testing Lab, Electronic Textiles Lab Key collaborations: Hometrica Consulting, SciTePress, Browzwear Recent work explores microwave imaging for body dimension capture and AI-enhanced pattern generation, published in journals like Communications in Development and Assembling of Textile Products. Her contributions bridge textile engineering with digital innovation in fashion and medical applications.

Andreas KramerView profile

Professor

• Product Design
• Computer-Aided Design (CAD)
• Industrial Design
• +3 more

Prof. Andreas Kramer is a Professor of Product Design/CAD at the Bremen University of the Arts (HfK Bremen), leading the discipline since 2001. He holds a degree in Industrial Design from the Bergische Universität Wuppertal and has worked in design studios such as Budde&Piltz and archeDesign. His teaching focuses on foundational CAD skills, product design collaborations with traditional craftsmanship (e.g., Silbermanufaktur Koch und Bergfeld), and mentoring BA/MA projects. He offers courses like 'Tools I - Grundlagen Produktdesign' and 'Produktdesign und Kunsthandwerk,' emphasizing sustainability and digital fabrication. His works have received international recognition, and he actively participates in initiatives like the 'Bremen Goes Sustainable' funding program and eco-design talks. Education: Industrial Design, Bergische Universität Wuppertal Professional Experience: Freelance Product Designer since 2001 Research interests include integrating traditional craftsmanship with modern technologies, sustainable product design, and computational design tools. He advises students on individual projects, modular courses, and oversees thesis work through structured workshops and peer reviews. Notable collaborations include projects with the Silbermanufaktur Koch und Bergfeld, while institutional contributions include mentoring programs addressing study organization, digital adaptation, and career planning. He participates in initiatives such as the 'madeby' platform connecting students with industries.

Kai DrewesView profile

Researcher

• Contemporary History
• Archival Science
• DDR History
• +4 more

Dr. Kai Drewes serves as Head of the Infrastructure Group and leads the Digital History / Scientific Collections division at the Leibniz Institute for Research on Society and Space (IRS) in Erkner, Germany. With a doctorate in modern history completed in 2011, he specializes in contemporary history with emphasis on DDR architectural and planning history, archival science, and digital heritage preservation. His research interests focus on DDR history , particularly urban planning, architectural documentation, and the socio-spatial transformation of East Germany. He examines architectural history through material culture including prefabricated housing systems (WBS 70), CAD development in socialist states, and architectural drawings. His digital history work explores cartographic analysis, migration patterns, and the digitization of physical collections. Additional expertise includes cultural heritage preservation of endangered archives and institutional collection building strategies. Analysis of his 15 most recent publications reveals consistent focus on material evidence of socialist-era planning, with increasing attention to digital methodologies since 2020. His work bridges architectural history, archival science, and spatial social research, demonstrating interdisciplinary approaches to understanding DDR's built environment through primary sources ranging from architectural models to migration cartograms. Research Prize of the Foundation for Personal History (2014) for dissertation on Jewish nobility granting in 19th-century Europe As division head since 2013 (Digital History / Scientific Collections since 2022), Drewes directs IRS's archival infrastructure while serving as deputy spokesperson for the Federation of German-speaking Architectural Collections (since 2019) and previously leading the Leibniz Association's Archives Working Group (2020-2024). His projects include 'Geschichte und Rezeption der Bauakademie der DDR' examining institutional history through interviews, and ongoing curation of the IRS's scientific collections containing unique DDR planning documents rescued from destruction.

Cheng LinView profile

Assistant Professor

• Geometric Modeling
• 3D Vision
• Shape Analysis
• +3 more

Cheng Lin is an Assistant Professor at the Department of Computer Science and Engineering, Macau University of Science and Technology (MUST). He earned his Ph.D. in Computer Science from the University of Hong Kong (HKU) under Prof. Wenping Wang and completed a visiting research period at the Visual Computing Group, Technical University of Munich (TUM), advised by Prof. Matthias Nießner. His B.Eng. degree from Shandong University focused on geometry and graphics. His research focuses on geometric modeling , 3D vision , shape analysis , and computer graphics , with recent contributions in diffusion models for 3D reconstruction, neural surface modeling , and material-aware generation . He has published extensively in top venues like SIGGRAPH, CVPR, and ECCV. Key trends in his publications include advancing single-view 3D generation , multiview consistency , and neural diffusion techniques for geometric and material reconstruction. Notable works include PDT: Point Distribution Transformation with Diffusion Models (SIGGRAPH 2025) and Wonder3D (CVPR 2024). Scientific Awards : CVPR 2024 Most Influential Papers (Corresponding Author) ICLR 2024 Most Influential Papers (First Author) CGF Top Cited Article 2022-2023 Tencent Excellent Contributor [2022] National Scholarship of China [2013-2015] Cheng Lin co-founded the non-profit research group AnySyn3D and has served as a reviewer for journals like TPAMI, TOG, and TVCG, as well as conferences including SIGGRAPH and CVPR.

Philipp SembdnerView profile

Researcher

• Medical Device Design
• Reverse Engineering
• Additive Manufacturing
• +3 more

Dr.-Ing. Philipp Sembdner is a Research Associate at the Chair of Virtual Product Development within Technische Universität Dresden . He completed his mechanical engineering studies at TU Dresden (2003–2009), specializing in "general and constructive mechanical engineering," followed by a doctorate in 2017 on computer-aided planning for bone implants . His research focuses on developing methods for patient-specific medical devices , emphasizing interdisciplinary workflows between physicians, engineers, and technicians. His recent work explores additive manufacturing of calcium phosphate cement scaffolds , 3D printing of bone implants , and CT data integration into CAD systems. Articles highlight workflow optimization and process validation for medical applications. He contributes to software tools bridging clinical data and engineering design, aiming to accelerate implant development and improve clinical acceptance.

Bernhard SaskeView profile

Researcher

• Virtual Reality
• Augmented Reality
• Product Lifecycle Management
• +3 more

Bernhard Saske serves as a Research Associate at the Chair of Virtual Product Development within Dresden University of Technology, where he has been affiliated since completing his mechanical engineering studies in 2002. Holding a doctorate (Dr.-Ing.) earned in 2008 for research on 'Augmented Reality in Maintenance,' he specializes in virtual and augmented reality applications integrated with product lifecycle management systems. His academic credentials include: Master's degree in Mechanical Engineering from Dresden University of Technology (2002) Doctorate (Dr.-Ing.) from Dresden University of Technology (2008) focusing on Augmented Reality in Maintenance Saske's research centers on digital transformation in engineering workflows, with core expertise in virtual/augmented reality implementation, product lifecycle management (PLM), and model-based systems engineering (MBSE). Recent investigations address generative AI applications in CAD processes, sustainable product development frameworks, and component reuse optimization in industrial plant design. His work consistently bridges theoretical methodologies with practical industry implementation challenges. Analysis of his 2023-2025 publications reveals a strategic shift toward artificial intelligence integration in engineering design, particularly generative models for CAD and computer vision systems. Concurrently, his research maintains strong emphasis on sustainability-driven PLM strategies and MBSE adaptation for circular economy principles, reflecting evolving industry priorities in resource efficiency and digitalization. Scientific Awards: No documented awards, fellowships, or major honors were identified in the source materials. Dr. Saske actively contributes to collaborative research projects within the Chair of Virtual Product Development, frequently co-authoring with Prof. Paetzold-Byhain and interdisciplinary teams. While specific student supervision is unrecorded, his publications indicate mentorship roles in conference papers and journal articles. Project funding appears aligned with German academic-industry partnerships focused on digital engineering solutions, though grant details remain unspecified. As a core member of the Chair of Virtual Product Development, Saske operates within a research ecosystem dedicated to advancing virtual prototyping, digital twin technologies, and immersive maintenance solutions. The chair maintains active industry collaborations to implement VR/AR methodologies in real-world manufacturing and product development contexts across European industrial partners.

Raf RamakersView profile

Associate Professor

• Human-Computer Interaction
• Digital Fabrication
• Physical Computing
• +3 more

Prof. dr. Raf Ramakers is an Associate Professor in Computer Science at Hasselt University in Belgium, affiliated with the research institute Expertise Centre for Digital Media (EDM). His research and teaching focus on Human-Computer Interaction (HCI), particularly novel software and hardware tools for ubiquitous computing devices, physical computing, and digital fabrication. Education highlights include: Ph.D. in Human Computer Interaction from Hasselt University (2016) Master in Computer Science, Human Computer Interaction (Magna Cum Laude) from Hasselt University (2012) Bachelor in Computer Science (Cum Laude) from Hasselt University (2010) His interdisciplinary research spans computer science, electrical engineering, media design, and material science, focusing on creating tools that facilitate making ubiquitous computing devices. Key areas include sensor-based systems, digital fabrication machinery, and physical interface design. Notable scientific awards: FWO IBM Innovation Award (2017) FWO Nokia Bell Scientific Prize (2017) CHI2016 Best Paper Honorable Mention 2nd Place UIST Student Innovation Contest (2013) He actively mentors PhD candidates and students, with research groups focusing on HCI and digital fabrication. His lab develops innovative tools bridging digital and physical interactions, resulting in numerous publications and patents.