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Prof. Dr. Mona Hess is a Full Professor and Chairholder of the Chair of Digital Heritage Technologies at Otto-Friedrich-Universität Bamberg , Germany. She directs the M.Sc. Digital Technologies in Heritage Conservation program and serves as Vice-Speaker at the Centre for Heritage Conservation Studies and Technologies (KDWT) . Her work bridges digital documentation, 3D imaging, and heritage conservation, with a focus on cultural landscapes, historic timber, and artifact preservation. Education : Dipl.-Ing. in Architecture (TUM), M.A. in Heritage Conservation (University of Bamberg), Ph.D. in 3D Imaging Metrology for Cultural Heritage (University College London, 2015) Her research spans 3D laser scanning, photogrammetry, SLAM-based recording , and digital twin environments , particularly for structural monitoring, museum artifacts, and historic gardens. She leads projects like VirScan3D (virtual laser scanner simulator) and 3DPetrie (UCL Petrie Museum 3D models) and collaborates on international initiatives such as the British Museum War Canoe digital repatriation. Recent publications emphasize automated defect analysis in timber, multi-modal imaging for ceiling art, and linked open data in heritage. She has contributed to CIPA ICOMOS as an expert member and will chair their Education and Dissemination Commission (2024). Scientific Awards : Fellow of the UK Higher Education Academy (2016), Associate Fellow of the Higher Education Academy (2014) She teaches courses in Digital Object Recording , 3D Spatial Data Modeling , and Science Communication , and organizes international summer schools on heritage monitoring. Her lab, the Chair of Digital Heritage Technologies , collaborates with institutions in Italy, Spain, and the UK, focusing on interdisciplinary innovation in heritage conservation.

• 3D Imaging Metrology
• Heritage Conservation
• Digital Documentation
• +4 more

Jihyun Lee is an Assistant Professor in the Department of Mechanical and Manufacturing Engineering at the Schulich School of Engineering, University of Calgary. She was awarded the Anna Boyksen Fellowship by the Technical University of Munich Institute for Advanced Study (TUM-IAS) in 2021, hosted by Prof. Michael Zäh. Doctorate in Mechanical Engineering from University of Michigan-Ann Arbor (2016) Prior post at Korea Institute of Machinery and Materials (2016-2019) Her research focuses on mechatronics, robotics, manufacturing automation, and control systems , with applications in machine tools, additive manufacturing, and precision measurement. She integrates artificial intelligence and optimization to enhance industrial automation. Recent publications highlight work on vibration control , sensor fusion , and flexible manufacturing systems . Her team explores dynamic modeling , nanocomposite sensors , and human-in-the-loop robotics for industrial and marine applications. 2020 Remote Teaching Award, Schulich Engineering 2020 Early Achievement Award, Association of Korean-Canadian Scientists and Engineers 2018 Best Achievement Award, KIMM She supervises doctoral and master’s students at the University of Calgary, emphasizing hands-on experience and MATLAB/Python simulation skills in her lab. Her work bridges quantum logic and industrial robotics through interdisciplinary collaborations.

• Manufacturing Automation
• Mechatronics
• Robotics
• +7 more

Prof. David Hunger leads the Cavity Quantum Optics Group at the Physics Institute (PHI) of Karlsruhe Institute of Technology (KIT). His research focuses on optically addressable spins in condensed matter, cavity-enhanced light-matter interactions, and quantum photonics with applications in sensing, spectroscopy, and quantum computing. The group develops fiber-based microcavities for coherent spin-photon interfaces, rare-earth ion qubits, and cavity-enhanced imaging of nanoscale systems. Notable projects include the BMBF-funded NEQSIS and SPINNING initiatives for quantum communication and diamond-based quantum computing. The group also pioneered Qlibri , a spin-off company commercializing optical fiber microcavities for quantum optics and microscopy. Recent breakthroughs include record spin coherence in SnV centers and ultra-stable nanopositioning platforms for cryogenic experiments. Affiliations: Faculty of Physics, KIT; Max Planck School of Photonics Grants: BMBF Grand Challenge (Quantum Communication), BMBF SPINNING (Diamond Qubits) Labs/Teams: Cavity Quantum Optics Group, Qlibri spin-off Students and postdocs in the group work on topics like collective cavity effects, molecular spin platforms, and cavity-enhanced sensing of liquid-phase nanosystems.

• Quantum Optics
• Cavity Quantum Electrodynamics (CQED)
• Spin Physics
• +5 more

Prof. Julia Herzen holds the Associate Professorship of Physics in Biomedical Imaging at the Department of Physics , TUM School of Natural Sciences , Technical University of Munich . Her research focuses on advancing X-ray imaging techniques using synchrotron radiation and laboratory sources, with applications in medical diagnostics and tissue analysis. Position: Associate Professor Department: Physics School: TUM School of Natural Sciences University: Technical University of Munich Contact: julia.herzen@tum.de Her core research interests include: Quantitative multi-modal X-ray imaging (spectral & phase-contrast) 3D virtual histology of human tissue Breast cancer detection improvement Lung disease imaging (emphysema, pneumonia) X-ray phase-contrast tomography Dark-field imaging material decomposition Recent publications demonstrate expertise in dark-field imaging for lung pathology , phase-contrast CT for organoid visualization , and spectral X-ray applications in multi-material differentiation . Her team explores clinical translation of X-ray techniques for non-invasive diagnostics . She supervises PhD students and teaches Biomedical Engineering courses, including: Quantitative X-Ray Imaging (3 VI) Image Processing in Physics (2 VO) Biostatistics (2 VO) Advanced Lab Courses in X-ray Micro-CT

• Biomedical Imaging
• X-ray Computed Tomography
• Phase-Contrast Imaging
• +6 more

Dr. Antonio Ortiz is a Researcher at the University of Bonn, affiliated with the Life and Medical Sciences Institute (LIMES) and the IRU Mathematics and Life Sciences group. He works under the supervision of Professors Alexander Effland and Jan Hasenauer. His research focuses on Computer Vision in Medical Imaging and Machine Learning applications. He holds a Ph.D. in Electric and Electronics Engineering from Cinvestav, Mexico (2023), a Master's in Computer Science from Cicese, Mexico (2019), and a Bachelor's in Mechatronic Engineering (2017). His research integrates Bayesian methods, deep learning, and optical flow techniques for cardiac MRI segmentation, visual-inertial SLAM systems, and 3D shape measurement. Recent work emphasizes adaptive algorithms for medical imaging and robotics applications. Publications span medical imaging, robotics, and materials science, with a focus on algorithmic innovation and interdisciplinary applications. No scientific awards are explicitly mentioned, but his work demonstrates strong academic contributions. His advising activities and grants are not detailed in the provided text. He collaborates within the Effland Lab and IRT Mathematics and Life Sciences team.

• Computer Vision in Medical Imaging
• Machine Learning
• Medical Imaging Segmentation
• +3 more

Heidi Hastedt is a Researcher at the Institute of Photogrammetry and GeoInformation (IAPG) , part of Jade University of Applied Sciences . Her work spans photogrammetry , optical 3D metrology , and remote sensing , with a focus on camera calibration , Structure from Motion (SfM) , and software development in C++/C# and ESRI ArcObjects . Education : Diploma in Surveying (Dipl.-Ing. (FH)) from University of Applied Sciences Oldenburg/Ostfriesland/Wilhelmshaven (2001). Master of Engineering (M.Eng.) in Geoinformation Systems from Anhalt University of Applied Sciences (2015). Research Interests : Heidi's expertise lies in optical 3D measurement systems for applications like cultural heritage preservation and dynamic process monitoring . She specializes in camera modeling , system development , and quality control in SFM workflows. Her 15 most recent articles (2005–2022) highlight advancements in 3D reconstruction , cultural heritage digitization , and high-dynamic process capture using photogrammetric methods. Projects & Grants : Heidi has led research on geometric monitoring of the Bremen Cog (2017–present, funded by the German Maritime Museum) and accuracy evaluation of SFM methods (2003–2005, AGIP). Earlier work (2000–2002) focused on optical 3D system verification, and she contributed to Lower Saxony Advance initiatives (2005–2010) for dynamic 3D metrology. Laboratory Involvement : Heidi co-manages the Laboratory for Optical 3D Metrology , where she develops and tests photogrammetric tools for large-volume measurements and real-time monitoring of historical and dynamic objects.

• Photogrammetry
• Optical 3D Metrology
• Remote Sensing
• +9 more

Tobias Neiß-Theuerkauff, M.Sc., is a researcher at the Institute for Applied Photogrammetry and Geoinformatics (IAPG) within Jade University of Applied Sciences, Oldenburg. His work centers on optical 3D metrology applications in surgical assistance and maritime systems, currently contributing to the ASKAR3D project (2023-2026) funded by the Federal Ministry of Education and Research for developing augmented reality-guided knee arthroplasty systems. His research integrates computer vision, photogrammetry, and AI to solve practical challenges in medical imaging and maritime engineering. Recent publications demonstrate a focused shift toward surgical applications, developing AI-driven 3D bone reconstruction and semantic segmentation techniques for knee arthroplasty, while maintaining expertise in maritime 3D visualization established through earlier work on vehicle simulation and autonomous systems. Supported by significant grants including ASKAR3D and CoSAIR (Collaborative Spatial Artificial Intelligence in Realtime), his project portfolio reflects strong federal funding recognition. He has co-supervised Master's research in Geodesy and Geoinformatics, specifically guiding thesis work on point cloud triangulation for Unreal Engine visualization in 2019. As a core member of IAPG's Laboratory for optical 3D metrology, Neiß-Theuerkauff collaborates with leading researchers including Prof. Dr. Frank Wallhoff and Prof. Dr. Thomas Luhmann, bridging theoretical computer vision with clinical and maritime implementations through interdisciplinary teamwork.

• Optical 3D Metrology
• Augmented Reality in Surgery
• Medical Image Analysis
• +3 more

Dr. Savio Fabretti is a Professor at the University of Bielefeld within the Faculty of Physics . He is affiliated with the Ultrafast Science Group and has contributed extensively to terahertz spectroscopy , nanostructured materials , and spintronics . His interdisciplinary work bridges physics and biology education , particularly in giftedness research through roles like Head of the Osthushenrich Center for Giftedness Research at the Faculty of Biology. Research Focus: Terahertz spectroscopy, plasmonic metamaterials, quantum transport in nanostructures, and giftedness diagnostics in science education. Teaching: Active in teacher training, curriculum design, and student laboratory supervision across biology, psychology, and technical disciplines. Labs & Teams: Collaborates with the Ultrafast Science Group and leads initiatives at the Osthushenrich Center for Giftedness Research . Publications highlight trends in terahertz photonics , nanoscale electronics , and interdisciplinary education . Notable projects include teutolab-robotics and Kolumbus-Kids for science outreach.

• Physics
• Nanophotonics
• Condensed Matter Physics
• +4 more

Prof. Mauricio de Campos Porath is a Professor of Production Engineering and Measuring Technology at the Hamburg University of Applied Sciences (HAW Hamburg), Department of Mechanical Engineering and Production. He holds a Dr.-Ing. from RWTH Aachen University (2009), M.Sc. in Production Engineering from RWTH Aachen (2004), and B.Sc. in Mechanical Engineering from Universidade Federal de Santa Catarina (UFSC), Brazil (2002). His research focuses on precision metrology, including coordinate measuring technology, industrial computed tomography, and uncertainty analysis in manufacturing processes. Key roles include serving as Deputy Study Program Coordinator for the B.Eng. in Mechanical Engineering (Production Technology) at the Shanghai-Hamburg College (since 2024), Member of the Faculty Council (TI Faculty), and Reviewer for journals like Precision Engineering and Measurement Science and Technology. He has extensive industry experience, including roles at Carl Zeiss IMT GmbH and as a Measurement Engineer at CERTI Brazil. Research interests span advanced measurement techniques for industrial applications, robot calibration, and quality management. His work emphasizes bridging theoretical metrology with practical manufacturing challenges, particularly in additive manufacturing and shipbuilding assembly processes. Publications highlight contributions to calibration methodologies, uncertainty quantification, and precision measurement systems. He actively participates in international conferences and academic reform initiatives, reflecting his commitment to advancing technical education and industrial metrology standards.

• Coordinate Measuring Technology
• Quality Management
• Production Engineering
• +7 more

Prof. Dr. Tobias Windisch is a Professor at the University of Applied Sciences Kempten, where he serves as head of the Institute for Machine Vision within the Faculty of Mechanical Engineering. He leads the Optical 3D Measurement and Computer Vision Laboratory (3D visionlab) and oversees research activities focused on machine learning applications for industrial automation. Dr. Windisch received his PhD in mathematics from OvGU Magdeburg under the supervision of Thomas Kahle, and holds an Honors Master's degree in mathematics from TU Munich within the elite TopMath program. Prior to his academic career, he worked on machine learning projects for Robert Bosch GmbH and Daimler TSS GmbH (now Mercedes-Benz Tech Innovation). His research spans machine learning, computer vision, and optical sensing with a strong focus on industrial applications. Windisch's work primarily explores how reinforcement learning can be combined with optical sensing to develop intelligent control strategies for manufacturing processes. His team develops mechanical processes built around machine learning models to further automate industrial applications using data from optical sensors. The research has practical applications in automotive production, quality control, and precision manufacturing. Analysis of his recent publications reveals a strong trend toward practical implementations of machine learning in industrial settings, with particular emphasis on reinforcement learning for process optimization, drift detection in high-dimensional data, and causal structure learning for manufacturing analytics. His work bridges theoretical machine learning with real-world industrial challenges. As a dedicated educator and research leader, Windisch maintains high standards for academic integrity and excellence. He believes in creating an environment where students can focus deeply, think boldly, and innovate through meaningful research. Dr. Windisch leads a dynamic research group with numerous Master's and Bachelor's students working on cutting-edge projects including reinforcement learning for active alignment, drift detection in sensory data, latent drift detection with Autoencoders, and representation learning for industrial processes. His laboratory, the 3D visionlab, serves as the physical hub for this research. The Institute for Machine Vision under his leadership develops practical tools and frameworks such as relign, lineflow, and driftbench that are openly available on GitHub, demonstrating his commitment to reproducible research and practical applications.

• Machine Learning
• Computer Vision
• Reinforcement Learning
• +4 more

Prof. Dr. Dag Heinemann is a Professor at Leibniz University Hannover, affiliated with the Institute of Botany and the Hannover Institute of Optical Technologies (HOT). His research focuses on Phytophotonics, applying optical technologies to plant sciences, including laser-based phytomonitoring and tissue manipulation. He leads the Phytophotonics Group and teaches in programs like 'Molecular and Applied Plant Sciences' and 'Plant Biotechnology.' Education: PhD (2013, Hannover Medical School), MSc (2009), and BSc (2007) in Life Sciences from Leibniz University Hannover. Professional roles include membership in the Faculty Council and leadership in interdisciplinary projects. Research projects include the PhoenixD Cluster of Excellence (2019–2025), advancing precision metrology and photonic technologies. Awards include multiple Excellence in Reviewing Certificates and Otto Science Trophies. Key research areas span laser manipulation techniques, optical sensing in horticulture, and biomechanical analysis of plant tissues. His work bridges optics and plant biology, contributing to both fundamental understanding and applied technologies in agriculture and biomedicine.

• Biophotonics
• Plant Sciences
• Laser Technologies
• +4 more

Prof. Michael Koch is a Professor at Technische Hochschule Nürnberg, specializing in interdisciplinary research at the intersection of robotics, materials science, and industrial engineering. His work focuses on advancing additive manufacturing, robotics integration, and computational simulation in manufacturing processes. He holds a Dr.-Ing. and Dipl.-Wirt.-Ing., reflecting his expertise in engineering and applied sciences. Research interests include 3D printing optimization, cyber-physical systems, and safety analysis of materials under mechanical stress. He has contributed to innovations in robotics programming via augmented reality and developed frameworks for automated manufacturing processes. His studies on biomedical applications, such as ovarian cancer modeling, demonstrate a cross-disciplinary approach. Key projects involve robot-guided CT scanning for automotive industry 4.0, part orientation evaluation for additive manufacturing (Poeam), and safety protocols for explosives (PBX). His work emphasizes integrating real-world geometry data into simulations to improve accuracy and efficiency. Prof. Koch’s publications span over three decades, with a focus on manufacturing, robotics, and materials science. He has pioneered methods for energy-efficient CO2 capture systems and explored microstructural changes in materials under dynamic loading.

• Robotics
• Additive Manufacturing
• Materials Science
• +3 more

Prof. Dr. Anthimos Georgiadis is a faculty member at Leuphana University Lüneburg's Institute for Production Technology and Systems. His research focuses on advanced manufacturing technologies, production systems, and industrial applications. Georgiadis leads projects in areas including material processing, manufacturing optimization, and industrial diagnostics. Recent publications demonstrate strong emphasis on applied engineering solutions, particularly in bearing dynamics diagnostics using machine learning, surface quality optimization, and medical positioning systems. His work consistently integrates theoretical modeling with experimental validation across mechanical, materials, and medical engineering domains. Technical contributions span predictive maintenance algorithms, manufacturing process improvements, metrology innovations, and healthcare technology development, reflecting interdisciplinary approaches to industrial challenges.

• Production Technology
• Manufacturing Systems
• Materials Engineering
• +1 more

Professor Jane Jiang is a distinguished academic at the University of Huddersfield , affiliated with the School of Computing and Engineering and the Department of Engineering . She specializes in surface metrology, precision engineering, and advanced manufacturing technologies. Her work focuses on optimizing measurement techniques for additive manufacturing, X-ray computed tomography, and optical systems. Research Interests Her research spans surface texture analysis , 3D vision systems , and metrology for smart manufacturing . She develops novel methods for characterizing complex surfaces using techniques like phase measuring deflectometry and chromatic confocal sensors. Her contributions bridge engineering and materials science, emphasizing practical applications in aerospace, biomedical, and industrial sectors. Recent Contributions Her 2025 work includes advancements in freeform optics design, vibration-resistant microscopy, and neural network-based surface characterization. Her studies on XCT measurement for additive manufacturing parts address critical challenges in precision and data analysis. Affiliations & Projects She leads the Centre for Precision Technologies and actively collaborates on EU-funded projects. She organized the 1st International Conference on Metrology and Standard (2024) and contributes to interdisciplinary initiatives in bio-engineering and advanced materials. Grants & Teams Her team includes researchers like Shan Lou and Paul Scott , focusing on metrology for medical implants and aerospace components. She supervises PhD students exploring AI-driven surface specification and manufacturing process optimization.

• Surface Metrology
• Additive Manufacturing
• Precision Engineering
• +4 more

Prof. Dr. Martin Hofmann is Chairholder of Photonics and Terahertz Technology at Ruhr University Bochum (RUB), part of the Faculty of Electrical Engineering and Information Technology. He leads research in optical materials, semiconductor lasers, and THz technology. His academic journey includes a doctorate (1994) and habilitation (2000) from Philipps University of Marburg, followed by roles as Scientific Assistant and Head of the Optoelectronic Devices and Materials Group before assuming his current position in 2007. Research Interests: Focuses on THz radiation sources , semiconductor laser characterization , and biomedical optical applications . His work bridges fundamental physics with applied technologies like compact THz systems and photonics for industrial and medical use. Publications: Recent work emphasizes THz generation using VCSELs, mode-locked lasers, and holographic measurement techniques. Key themes include coherent THz systems, dispersive optics, and miniaturized photonic components. Affiliations: Active in RUB’s Photonics and Terahertz Technology department, contributing to projects like TopING doctoral program and Spin-off promotions. Lab activities involve developing compact THz instruments and advanced laser systems.

• Photonics
• Terahertz Technology
• Semiconductor Lasers
• +3 more