جست‌وجوی استاد و پژوهشگر

Ralf Arndtمشاهده پروفایل

استاد

• Building Materials Science
• Building Diagnostics
• Non-Destructive Testing
• +۴ مورد دیگر

Prof. Ralf Arndt is a Professor of Civil Engineering at the University of Applied Sciences Erfurt, leading the Master's program in Sustainable Engineering of Infrastructure. He specializes in building materials science, non-destructive testing, and structural diagnostics with a focus on infrastructure preservation and heritage conservation. His work integrates advanced technologies like thermography, BIM systems, and sensor networks. Education and Professional Background: He held positions as Assistant Professor at Florida International University (Miami, USA), Postdoctoral Researcher at Rutgers University and FHWA (USA), and doctoral scientist at BAM (Berlin). His doctorate from TU Berlin focused on nonlinear materials analysis. Research Interests Development of digital diagnostics methods for infrastructure components Non-destructive evaluation techniques for historic buildings and bridges Material degradation analysis in civil engineering contexts Integration of BIM systems for construction value chains Recent Research Projects DigiWertBau (2016-2018): BIM implementation in Thuringia's construction sector PROTIMB (2016-2019): Guidelines for protected timber bridges Current projects include Digital Building Diagnostics (TAB-funded) and Digital Models in Architectural Heritage Conservation (co-PhD with TU Dresden) Academic Contributions His publications span structural health monitoring, NDT methods, and material diagnostics across journals like Bautechnik and conference proceedings such as NDTCE. He holds a German patent for corrosion assessment methods in reinforced concrete (DE102016222538B3). Awards & Memberships Transportation Research Board (TRB) member Scientific-Technical Association for Building Preservation (WTA) Deputy head of DGZfP's Thermography Committee Recipient of iENA Silver Medal (2017) and NRC Postdoctoral Award (USA) Teaching He teaches courses in building materials science, English for engineers, and sustainable infrastructure diagnostics at both bachelor's and master's levels.

• Cognitive Science
• Computer Science
• Education
• +۳ مورد دیگر

Christopher Young is a researcher with a diverse academic portfolio spanning Cognitive Science, Computer Science, and Biomedical Engineering. His work primarily focuses on Human-Computer Interaction , Virtual Reality applications , and Child Development in educational contexts. While his university affiliation is not explicitly stated in the provided texts, he earned his PhD from the University of Illinois Urbana-Champaign in 1992, specializing in digital filters. Young's interdisciplinary research bridges education , technology , and biomedical rehabilitation . Research Trends : His publications from 2024 to 1992 reveal a trajectory in Virtual Reality for workforce and management training Embedded Systems and energy-efficient object detection Cognitive Development in children's numerical and spatial abilities Biomedical Applications including surgical video summarization and motor rehabilitation Architectural Design with augmented reality interfaces Awards & Collaborations : No explicit awards are listed in the texts. His collaborations include prominent figures like Susan C. Levine (Cognitive Science), Boris Murmann (Electrical Engineering), and Barbara Cutler (Computer Science).

Xia Chenمشاهده پروفایل

پژوهشگر ارشد

• Human-AI Alignment
• Knowledge Representation and Reasoning
• Machine Learning
• +۵ مورد دیگر

Dr. Xia Chen is a Postdoctoral Fellow at the Technical University of Munich (TUM), working at the Georg Nemetschek Institute (GNI) within the Chair of Computing in Civil and Building Engineering. His research focuses on human-AI alignment, knowledge-integrated machine learning, and bio-inspired adaptive intelligence, with applications in engineering and scientific contexts. Dr. Chen earned his Ph.D. with summa cum laude distinction from Leibniz University Hannover and Technical University Berlin. His dissertation, "Beyond Predictions: Alignment between Prior Knowledge and Machine Learning for Human-Centered Augmented Intelligence," established foundational work in aligning AI systems with human cognition and decision-making processes. Prior to his current position, he was a Visiting Scholar at UC Berkeley's Center for the Built Environment (CBE). Dr. Chen's research interests center on developing AI systems that enhance rather than replace human capabilities in engineering contexts. His work spans several interconnected areas: human-AI alignment, where he explores how artificial systems can dynamically align with human cognition and values; knowledge representation and reasoning, focusing on integrating domain knowledge with data-driven approaches; machine learning methodologies that incorporate physics-based constraints; and applications of AI in the built environment for energy-efficient design and sustainable infrastructure. His publication record demonstrates a consistent focus on bridging the gap between theoretical AI advancements and practical engineering applications. Dr. Chen has pioneered approaches like component-based machine learning (CBML), which transforms system-level extrapolation problems into component-level interpolation challenges, making AI more robust with limited data. His recent work on symbolic neural networks for building physics and causal inference in design processes represents cutting-edge integration of domain knowledge with machine learning. summa cum laude PhD distinction from Leibniz University Hannover and TU Berlin Dr. Chen has contributed to several national research initiatives (DFG, BMBF), with projects ranging from component-based machine assistance to forecasting frameworks for energy systems. His work at the E.ON Energy Research Center (RWTH Aachen) involved meta-neural network ensembles for renewable prediction and economic evaluations of the German Energy Transition. He actively serves as a reviewer for venues including Advanced Engineering Informatics, Energy and Buildings, EG-ICE, and IBPSA. Dr. Chen's research is conducted within TUM's vibrant ecosystem for computational engineering, with connections to the Georg Nemetschek Institute's focus on digital transformation in the built environment. His work intersects with several research groups including those focused on Information Management, Digital Twinning, and Knowledge Representation and Reasoning within the Department of Civil and Environmental Engineering.

• Artificial Intelligence
• Building Information Modeling (BIM)
• Digital Twinning
• +۴ مورد دیگر

Sylvain Hellin is a researcher at the Chair of Computing in Civil and Building Engineering at the Technical University of Munich (TUM). His work focuses on developing scalable agentic AI architectures for property data management across the entire building lifecycle. Research highlights include: Current work on AI-powered systems for BIM information retrieval using natural language queries Future directions toward intelligent document retrieval across construction project types Emphasis on transparency through source attribution and document traceability His research addresses fundamental challenges in knowledge management within the built environment by improving information accessibility from heterogeneous data sources. This work builds upon TUM's leadership in digital construction technologies, particularly in BIM processing and digital twinning applications.

• Building Information Modeling (BIM)
• Digital Twinning
• Graph Theory Applications in Engineering
• +۳ مورد دیگر

Tamira Wrabel, M.Sc., is a researcher at the Chair of Computing in Civil and Building Engineering at the Technical University of Munich (TUM). Her work focuses on enhancing the interpretability of API documentation for BIM authoring software through graph-based methodologies. Research Interests: She contributes to DFG FOR 5672: The information backbone of robotized construction, integrating graph theory and digital twinning in civil engineering contexts. Teaching: Tamira is involved in teaching the course BIM.fundamentals , reflecting her expertise in foundational BIM applications.

Hartmut Katzمشاهده پروفایل

استاد

• Finite Element Method
• Database Systems
• Programming
• +۲ مورد دیگر

Prof. Dr.-Ing. Hartmut Katz has been a Professor at Furtwangen University in the Faculty of Industrial Engineering since 2005. His administrative leadership includes Vice Dean for Teaching of the Faculty, Academic Dean for PEB, Coordination of Faculty Exam Schedules, Faculty Intranet Management, and Deputy IT Officer of the Faculty, along with membership in the Senate Committee ZPA and Study Commission PEB. 1989-1990: Architecture studies at Technische Hochschule Darmstadt 1990-1995: Dipl.-Ing. in Civil Engineering at TU Darmstadt (focus: structural engineering, geotechnics, computing in construction) 1995-1999: Scientific Assistant at TU Darmstadt's Institute for Numerical Methods and Informatics in Civil Engineering 2000: Dr.-Ing. doctorate from Technische Universität Darmstadt 1999-2005: Senior Consultant at PROSTEP AG, Darmstadt His research and teaching expertise centers on computational engineering methodologies, with documented instruction in Database Systems, Programming, Finite Element Method (FEM), Technical Mechanics, and Mathematics. This reflects a career bridging civil engineering fundamentals with advanced informatics applications, particularly in numerical simulation and engineering software systems. No scientific awards were documented in the source material. Information regarding research grants, student advising relationships, or laboratory affiliations was not provided.

Peter Gebhardمشاهده پروفایل

استاد

• Solid Construction
• Construction Informatics
• Fundamentals of Civil Engineering

Peter Gebhard serves as a Professor within Faculty 02 (Faculty of Civil, Geo and Environmental Engineering) at the Technical University of Munich. His office is located in Room F 1.01 at Karlstraße 6, 80333 Munich, Germany, with contactable telephone (+49 89 1265-5902) and fax (+49 89 1265-2699) lines. His academic responsibilities center on critical civil engineering disciplines: Solid Construction Construction Informatics Fundamentals of Civil Engineering

Cornelius Preidelمشاهده پروفایل

استاد

• Building Information Modeling
• Artificial Intelligence
• Data Modeling
• +۳ مورد دیگر

Prof. Dr. Cornelius Preidel serves as a Professor at Munich University of Applied Sciences within Faculty 02, specializing in construction informatics and Building Information Modeling (BIM). His office is located in Room F 2.24 at Karlstraße 6, 80333 Munich, Germany, with direct contact via telephone (+49 89 1265-2453) and fax (+49 89 1265-2699). Professional memberships: buildingSMART, buildingSMART Germany His research focuses on the integration of Building Information Modeling with Artificial Intelligence, Data Modeling, and Digital Twin technologies within applied computer science frameworks. Current work emphasizes practical implementations of BIM methodologies for construction informatics, including digital representations of physical infrastructure and data-driven modeling systems. Research trends indicate strong interdisciplinary connections between computer science and civil engineering domains, particularly in computational approaches to building lifecycle management. Prof. Preidel maintains active industry engagement through buildingSMART initiatives while advancing digital transformation in construction education and practice.

Simon Vilgertshoferمشاهده پروفایل

استاد

• Building Information Modeling
• Construction Informatics
• Digital Twins
• +۳ مورد دیگر

Simon Vilgertshofer serves as Professor at Munich University of Applied Sciences within the Faculty of Civil Engineering and Environmental Sciences (Faculty 02). His office is located in Room F 2.24 at Karlstr. 6, 80333 Munich, Germany, with direct contact via telephone (+49 89 1265-2831) and fax (+49 89 1265-2699). His research specializes in digital transformation of construction processes, with primary expertise in Building Information Modeling (BIM), Digital Twins, and Artificial Intelligence integration. He advances parametric modeling techniques for infrastructure development, focusing on computational efficiency and data interoperability in civil engineering workflows. His scholarly contributions are formally recognized through ORCID ID 0000-0003-4271-2076 , establishing his authoritative presence in construction informatics.

Tim Schorkمشاهده پروفایل

استاد

• Computational Design
• Robotic Fabrication
• Additive Manufacturing in Architecture
• +۴ مورد دیگر

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.

Frank Petzoldمشاهده پروفایل

استاد

• Architectural Informatics
• Building Information Modeling (BIM)
• Computer-Aided Design
• +۳ مورد دیگر

Prof. Frank Petzold is a Full Professor at the Chair of Architectural Informatics within the Department of Architecture at the Technical University of Munich (TUM). His academic career includes roles as Vice Dean of the Department of Architecture (2010–2012) and Dean of the Faculty of Architecture at Bauhaus-University Weimar (2008–2009). He holds a Doctorate in Computer Science from Bauhaus-University Weimar (2001) and has been a core member of the Munich Data Science Institute (MDSI) since 2021. His research focuses on digital methods in architectural design, BIM integration, AI-driven generative design, and sustainable urban planning. Key affiliations include the Leonhard Obermeyer Center for Digital Methods (co-founder, 2014) and leadership roles in DARL (Deans' Association for Architecture, 2015–present). Research interests span computational design tools, digital twin technologies, and AI applications in construction. Notable contributions include the TUM2TWIN benchmark dataset and frameworks for automated design decision support. He serves on editorial boards for journals like the International Journal of Architectural Computing and chairs Bavaria’s 'Digital Construction and Planning' platform. His work bridges academic research with industry applications, emphasizing interdisciplinary collaboration and digital innovation in built environment disciplines. Education: Doctorate in Computer Science, Bauhaus-University Weimar (2001) Affiliations: Munich Data Science Institute, TUM Georg Nemetschek Institute, German Association of Computing in Civil Engineering Committees: DARL, Task Group AKIM (Construction Industry), Bavarian Digitalization Center (Z.DB) Publications emphasize BIM interoperability, generative design systems, and urban sustainability. Current projects explore AI for building lifecycle assessments, digital twin applications, and crowd-safety simulations in early design stages.

• Sustainability
• Urban Planning
• Transportation Systems
• +۵ مورد دیگر

Andres Felipe Valderrama Pineda is an Associate Professor at Aalborg University, affiliated with the Department of Sustainability and Planning under The Technical Faculty of IT and Design. His research focuses on sustainable systems design, urban mobility, and engineering education, particularly within problem-based learning frameworks. He is actively involved in the SUSTAINABLE DESIGN AND TRANSITION group and the Design for Sustainability initiative, contributing to interdisciplinary approaches for sustainable transitions in urban contexts. His research interests emphasize the co-production of urban transport systems and cities, equity in mobility, and the integration of sustainability into engineering education. Notable projects include analyses of Copenhagen’s mobility infrastructure, cycling policy in Denmark, and comparative studies on transport systems in Latin America. Valderrama Pineda has published extensively on topics such as sustainable urban development, cycling infrastructure, and pedagogical methodologies for sustainability education. His work bridges technological systems analysis, policy design, and social equity, often employing qualitative methods like Q methodology and situational analysis. He collaborates with institutions like the Center for Design, Innovation and Sustainable Transitions and has contributed to initiatives like the CITYLAB project in Latin America. His research also addresses global sustainability challenges, including the role of design in transitioning to low-carbon societies.

Sonja Meyerمشاهده پروفایل

استاد

• Business Informatics
• Internet of Things (IoT)
• Sustainable Construction
• +۳ مورد دیگر

Prof. Sonja Meyer holds the Chair of Business Informatics at the Faculty of Computer Science, Konstanz University of Applied Sciences. Her work focuses on the algorithmic foundations of digitalized business processes and IoT integration. She teaches courses in Algorithms and Data Structures, Theoretical Computer Science, Discrete Mathematics, and IoT in both bachelor's and master's programs. Her research bridges IoT technologies with environmental sustainability, including lifecycle assessments of IoT devices and sustainable construction techniques using mineral landfill materials. She has also pioneered IoT-aware process modeling frameworks, contributing to standards like the IoT-A architecture. Notable trends in her publications emphasize IoT's environmental impact, process automation via IoT integration, and adaptive service orchestration. Her work spans technical systems design, business process innovation, and transdisciplinary sustainability solutions. No scientific awards or grants are explicitly mentioned in the provided texts. She advises no listed students and has no affiliated labs or teams specified.

Katja Silbeمشاهده پروفایل

استاد

• Digital Transformation in Construction
• Construction Informatics
• Building Process Modeling
• +۳ مورد دیگر

Prof. Dr.-Ing. Katja Silbe is a Professor at the Technical University of Mittelhessen, affiliated with the Faculty of Construction and the Department of Construction Management and Construction Operations . She currently heads the Institute for Digital Transformation in Construction since 2025. Her roles include leading the Professorship for Digitalization in Construction (2023–present) and the earlier Professorship for Construction Informatics at Lübeck University of Applied Sciences (2018–2023). Prior to academia, she worked in industry roles at MAX Bögl Bauservice GmbH & Co. KG and BAM Deutschland AG. She earned a Doctorate in Engineering Sciences (Dr.-Ing.) from TU Dresden in 2011 and held a Junior Professorship at the University of Kassel (2015–2018). Her research focuses on digitalization in construction processes, building informatics, and operational efficiency. Key Affiliations: Head of Institute for Digital Transformation in Construction (since 2025) Professorship for Digitalization in Construction, TH Mittelhessen (since 2023) Former Professor at Lübeck University of Applied Sciences (2018–2023) Education and Career: PhD in Engineering (Dr.-Ing.), TU Dresden (2011) Research Associate, Institute for Construction Informatics, TU Dresden (2006–2010) Industry experience in civil engineering and construction management (2011–2015) Research Interests: Integration of digital technologies into construction workflows, optimization of building processes, data-driven decision-making in construction projects, and sustainable construction practices. Lab/Team: Leads the Institute for Digital Transformation in Construction , focusing on innovation in digital tools and methodologies for the construction industry.

Oliver Olssonمشاهده پروفایل

مدرس

• Sustainable Chemistry
• Environmental Chemistry
• Water Quality Management
• +۶ مورد دیگر

Oliver Olsson is a Lecturer at the Institute of Sustainable Chemistry within the Faculty of Sustainability at Leuphana University of Lüneburg, Germany. He has held this position since 2016 and is also affiliated with the Environmental Chemistry research group. His career spans roles in research, teaching, and water resources management. Education PhD (Dr.-Ing.), Leibniz University of Hannover (2009) Diploma in Civil Engineering, Leibniz University of Hannover (2003) Research interests include sustainable chemistry, environmental chemistry, and water quality management. His work focuses on chemical informatics, reactive transport modeling, degradation studies, and analytical systems like the High Performance Analytical System (HyperSys) . He has contributed to projects in toxicology, agritransport, and sustainable material resources. Professional history highlights include a Research Fellow at Leuphana University (2011–2016), Head of the Water Resources Management Division at Leibniz University of Hannover (2009–2011), and part-time Managing Director at Bauer&Olsson GbR (2006–2010). He has also served as a Research Assistant in water quality protection and management. Teaching involves lectures with a chemical focus, and he has participated in organizing Summer Schools on Sustainable Chemistry since 2017. His laboratory affiliations include the Institute of Sustainable Chemistry, where he engages in interdisciplinary research and education initiatives.