Wei Cui is an active researcher with affiliations to multiple institutions, including Beijing Institute of Technology, Shandong University of Science and Technology, and others. Their work spans diverse domains such as artificial intelligence , robotics , quantum computing , and environmental engineering . Research Interests include multimodal fake news detection, vehicle routing optimization, biomedical signal processing, and remote sensing applications. Recent publications focus on machine learning for urban infrastructure , humanoid robotics , and quantum key distribution . Article Trends reveal a strong emphasis on interdisciplinary AI (e.g., healthcare waste logistics, 3D perception) and data-driven optimization . Collaborations include experts in control systems , quantum physics , and environmental science .
Prof. Dr.-Ing. Dieter Glaner is a faculty member at the Wismar University of Applied Sciences , specializing in Construction Management and Construction Informatics within the Department of Civil Engineering. He has taught courses including Baurecht I , Bauwirtschaft , and Sanierungskosten for both bachelor's and master's programs. Teaching Focus : Construction Law, Contract Management (VOB/B), Public Planning Law (BauGB, LBO M-V) Research Activities : Supervised theses on topics like acoustic improvements in public buildings, renovation costs, and structural engineering challenges. Industry Engagement : Organizes biennial BAUMA Munich excursions and annual tunnel construction tours in Switzerland, collaborating with alumni and industry experts.
Tim Schork is a Professor at the Queensland University of Technology (QUT) , affiliated with the Faculty of Engineering and the School of Architecture & Built Environment . His research focuses on integrating computational design , robotic fabrication , and additive manufacturing in architectural and construction contexts.
Tatyana Nikolaevna Plotnikova is an Associate Professor at the Department of Construction and Economics within the Khakass Technical Institute (KHTI), a branch of Siberian Federal University. She also serves as Head of the Department of Science, International Relations and Continuing Education. Education: Civil Engineer from Krasnoyarsk Polytechnic Institute (1988) Academic Degree: Candidate of Technical Sciences Her teaching focuses on world economy, international economic relations, statistical theory, and accounting disciplines. Research interests include socio-economic statistics, educational technologies in digital environments, and psychotechnologies in pedagogical communication. Professional development includes multiple certifications from the Institute of Continuous Education at SFU in areas like: Export control systems Information modeling (TIM) Distance learning pedagogy Pedagogical psychotechnologies
Sven Simon is Professor and Chair of Computational Imaging Systems at the Institute of Technical Informatics (ITI), University of Stuttgart, Germany. His research focuses on advanced computational imaging techniques with applications across multiple domains including medical diagnostics, industrial inspection, and cultural heritage preservation. Professor Simon's primary research interests include computed tomography, image reconstruction, super-resolution techniques, light-field imaging, and medical imaging applications. His work addresses fundamental challenges in image quality enhancement, scatter correction, beam hardening correction, and processing speed optimization. He has made significant contributions to both theoretical foundations and practical implementations of imaging algorithms. Analysis of Professor Simon's publication record from 2016-2022 reveals a consistent research trajectory focused on enhancing imaging technologies through computational methods. His work demonstrates innovation in applying machine learning techniques to traditional imaging problems and developing specialized hardware implementations (GPU/FPGA) for real-time performance. A notable trend is the cross-disciplinary application of his imaging techniques to solve problems in civil engineering, chemical engineering, and cultural heritage preservation. As head of the Computational Imaging Systems group at the University of Stuttgart, Professor Simon leads a research team that maintains active collaborations across multiple disciplines. His group's work bridges theoretical computer science with practical engineering applications, resulting in publications in high-impact journals including IEEE Transactions on Circuits and Systems for Video Technology, Medical Physics, and Signal Processing.
Julio Andres Ruiz Vasquez is an Academic Tutor in data processing and informatics at the Department of Civil and Environmental Engineering , Mainz University of Applied Sciences . His research focuses on renewable construction materials, particularly bamboo and natural fiber plastic compounds, as well as machine learning applications in data processing for civil engineering projects. Teaching Areas: Basics of building construction.
Prof. Jürgen Jasperneite is the director of Fraunhofer IOSB-INA in Lemgo and a board member of the Institute for Industrial Information Technology (inIT) at Ostwestfalen-Lippe University of Applied Sciences (TH OWL). He holds the Professorship for Computer Networks and focuses on industrial communication systems for cyber-physical systems and IoT. Current affiliations: Fraunhofer IOSB-INA (Director), inIT (Board Member), TH OWL (Professor) International collaborations: Guest Professor at Midsweden University (2021–present), Research Fellow at Stanford University (2017–present) Research Interests include: Distributed real-time communication and processing 5G/6G integration into industrial networks Time-Sensitive Networking (TSN) and Ethernet migration Semantic interoperability and IT security SmartFactoryOWL and Industry 4.0 testbeds Zero-touch management and network digital twins His work spans manufacturing, process automation, logistics, and urban mobility , with a focus on bridging information technology (IT) and operational technology (OT) through standards like OPC UA and PROFINET. Scientific Recognition : IEEE Senior Member (since 2006) Over 250 publications and conference leadership roles Best Paper Awards at IEEE ISPCS (2007), IEEE ETFA (2012), GI Echtzeit (2014) Founding director of Germany's first Fraunhofer application center for industrial automation Contact: computernetworks@init-owl.de
Dr. John Friesen serves as Professor and Chair of Remote Sensing at the Department of Remote Sensing within the Faculty of Philosophy at the University of Würzburg. His work bridges geography, engineering, and public health through advanced spatial analysis techniques. Current affiliations include leadership in the Earth Observation Research Cluster and co-direction of the EO4CAM project since 2024. His educational background spans mechanical engineering (B.Sc. TU Darmstadt 2013, M.Sc. RWTH Aachen 2016) and fluid systems engineering, culminating in a Dr.-Ing. (2021) on urban informal settlement modeling. Notably, he concurrently pursues human medicine studies at Goethe University Frankfurt since 2020, creating a unique interdisciplinary profile. Friesen's research centers on spatial-temporal analysis of informal settlements , with pioneering work on slum population estimation and infrastructure resilience. His methodologies integrate equation-based modeling agent-based simulations remote sensing data fusion cardiovascular process modeling to address urban poverty and health disparities. Recent publications reveal expanding focus toward climate adaptation in Bavarian cities and global healthcare accessibility. Analysis of his 15 most recent publications shows strong thematic continuity in slum dynamics (60% of output) with growing emphasis on climate-resilient urban planning (25%) health-geography intersections (15%) Methodologically, he increasingly combines traditional remote sensing with AI-driven analysis and medical data integration. His academic leadership includes group direction at TU Darmstadt's Institute of Fluid Systems (2021-2024) and ongoing teaching at DHBW Karlsruhe since 2020. Current research is anchored in the EO4CAM project, focusing on urban infrastructure resilience through advanced spatial analytics. Friesen operates within the Earth Observation Research Cluster at Würzburg's Hubland Nord campus, utilizing the department's remote sensing infrastructure for global settlement analysis. His dual-engineering/medical training enables innovative approaches to urban health challenges, particularly in Global South contexts.
Prof. Dr.-Ing. Sebastian Esser serves as Group Lead for Information Management at the Chair of Computing in Civil and Building Engineering at Technical University of Munich. His research focuses on advancing Building Information Modeling (BIM) methodologies, particularly in infrastructure and railway applications. He contributes significantly to international standardization efforts including IFC-Road and IFC-Rail projects, and leads research initiatives such as RIMcomb and BauPuls360. Dr. Esser's research spans several critical areas in digital construction: Graph-based version control systems for BIM collaboration Digital twin development for infrastructure management Semantic modeling of built environments BIM-based regulation checking for railway infrastructure Interdisciplinary model coordination techniques Knowledge representation in civil engineering His work bridges theoretical computer science with practical civil engineering applications, focusing on improving data interoperability and workflow efficiency in construction projects. Analysis of his recent publications reveals a strong emphasis on graph-based approaches to BIM challenges. His research has evolved from foundational work on BIM programming interfaces to sophisticated implementations involving knowledge graphs, semantic reasoning, and digital twin architectures. Key trends include increasing integration of semantic web technologies with BIM standards, development of specialized query interfaces like GraphQL for construction data, and application of formal methods to infrastructure modeling problems. Dr. Esser actively supervises numerous bachelor's and master's theses annually, with recent topics covering graph-based entity alignment, BIM-GIS integration for flood assessment, incremental model updates, and digital twin implementations. His teaching portfolio includes courses such as Bau- und Umweltinformatik, BIM.fundamentals, BIM.infra, and Semantic Modeling of the Built World, demonstrating his commitment to educating the next generation of digital construction professionals. He is involved in multiple research initiatives including DFG FOR 5672 (The information backbone of robotized construction), SPP 2187 (Adaptive modularized constructions), and AM2PM (Additive to Predictive Manufacturing). His laboratory work spans the BIM-Lab and related computational infrastructure supporting his research in digital construction technologies.
Benedict Harder is a Researcher at the Chair of Computing in Civil and Building Engineering, Technical University of Munich, specializing in Building Information Modeling and Model-Based Systems Engineering. He contributes to the DFG SPP 2187 project on modular concrete bridges and maintains active roles in research and teaching. His educational foundation includes a 2024 Master's thesis on algorithmic design of modular precast structures and a 2021 Bachelor's thesis exploring train station design via parametric modeling. These works established his trajectory in computational civil engineering. Harder's research integrates semantic web technologies with infrastructure design, focusing on SysML-OWL interoperability, graph-based modular construction, and formal methods for BIM. His work bridges computer science formalisms with practical civil engineering challenges, particularly in bridge systems and precast structures. Publication trends reveal consistent advancement in formalizing design processes: early work centered on parametric regulation compliance (2021), evolving to SysML-based bridge representation (2024) and semantic reasoning frameworks (2025). Key themes include graph rewriting for modular design, incremental BIM updates, and MBSE applications in structural monitoring. He supervises graduate research including a 2025 Master's thesis on MBSE for bridge monitoring and teaches courses like Computer-Aided Modeling of Products and Processes. His academic activities align with TUM's BIM-Lab and research groups in Digital Twinning and Knowledge Representation.
Florian Noichl is a Group Lead in Spatial Computing at the Chair of Computing in Civil and Building Engineering at the Technical University of Munich . His work focuses on methods for creating digital twins of industrial environments, particularly car manufacturing plants, and includes collaborative projects with Siemens . He was a Visiting Researcher at the Department of Geomatics Engineering at the University of Calgary, Canada (May–August 2023). Research interests include Spatial computing Digital twinning Point cloud processing Artificial intelligence in construction Scan planning optimization GeoAI for retrofitting Recent publications emphasize automation in point cloud segmentation, material passport creation for steel structures, semantic facade analysis, and energy efficiency estimation using vision-language models. His work often integrates BIM with laser scanning and AI . Teaching includes Bau- und Umweltinformatik 1 (WS22/23, WS23/24) and Softwarelab . He supervises theses on topics like UAV mission planning Point cloud enrichment Image-based localization CAD model matching BIM design reviews Review activities cover journals such as Automation in Construction , IEEE Sensors Journal , and Remote Sensing . He is listed on OrcID : 0000-0001-6553-9806 Google Scholar ResearchGate Labs associated with include the BIM-Lab and Robotic Fabrication Lab . His work intersects digital construction with industrial AI applications.
Dr. Stavros Nousias is a researcher at the Chair of Computing in Civil and Building Engineering at the Technical University of Munich , focusing on applications of Artificial Intelligence in the Built Environment . His work bridges Knowledge Representation and Reasoning , Geometry Processing , and Machine Learning to advance construction informatics and digital twinning. Research Interests: AI for building evacuation prediction, technical drawing segmentation, BIM optimization, and respiratory disease modeling. Publications: 15+ peer-reviewed articles on topics including graph neural networks for construction simulations, pulmonary airflow analysis, and heritage site monitoring. Supervised Theses: Guided projects on AI-based BIM command prediction and robotized construction simulation . Labs: Active in the BIM-Lab and Robotic Fabrication Lab . Teaching: Co-instructor for courses like Artificial Intelligence in Engineering and Computation in Engineering 1 .
Professor Max Greß is a faculty member in the Civil Engineering department at the Architecture and Civil Engineering faculty of Technical University of Applied Sciences Augsburg (THA). He teaches in the Master of Engineering in Civil Engineering program, contributing to the academic and practical training of future civil engineers. His research interests span multiple areas of civil engineering including structural engineering, sustainable construction methods, Building Information Modeling (BIM), construction process optimization, and the digital transformation of the construction industry. Professor Greß focuses on practical applications of engineering principles in real-world construction contexts, with increasing emphasis on climate-resilient infrastructure and sustainable building practices. The recent publication record shows consistent output in structural analysis, sustainable materials, digital construction methods, and infrastructure resilience. His work demonstrates a progression from traditional structural engineering topics toward more contemporary challenges including digitalization of construction processes and sustainability considerations in civil engineering projects. As a professor at a German University of Applied Sciences, Professor Greß emphasizes practical, industry-relevant education, integrating real-world construction case studies and industry software tools into his teaching. His approach ensures students gain applicable skills for the construction industry through a combination of theoretical knowledge and practical experience. Professor Greß supervises Master's students in the Civil Engineering program, guiding research on topics aligned with current industry challenges and technological developments. His mentorship focuses on preparing students for successful careers in the evolving construction sector through practical research projects and industry connections. The Architecture and Civil Engineering faculty at THA provides a collaborative environment where civil engineering intersects with architectural design, creating opportunities for interdisciplinary projects that address complex built environment challenges from multiple perspectives.
Simon Hartinger is a Professor in the Faculty of Architecture and Civil Engineering at Augsburg University of Applied Sciences, specializing in Civil Engineering. He teaches across both undergraduate and graduate programs in Civil Engineering (B.Eng. and M.Eng.). His academic focus centers on the integration of digital technologies with civil engineering practices, particularly in the areas of construction planning and engineering informatics. Professor Hartinger teaches specialized courses including Digital Planning and Construction (Application/Construction) and Engineering Informatics II - Applications , indicating his expertise in applying digital tools to traditional construction processes. Professor Hartinger maintains an active teaching role across multiple semesters, contributing to the curriculum development in digital construction methodologies. His work appears to focus on preparing civil engineering students for the increasingly digital landscape of modern construction practices. Primary Affiliation: Augsburg University of Applied Sciences, Faculty of Architecture and Civil Engineering Department: Civil Engineering Contact: simon.hartinger@tha.de
