جستجوی استاد راهنمای دانشگاهی

Werner Langمشاهده پروفایل

استاد

• Sustainable Building
• Energy-Efficient Design
• Building with Positive Footprint
• +۷ مورد دیگر

Prof. Dr.-Ing. Werner Lang serves as Vice President for Sustainable Transformation and holds the Chair of Energy Efficient and Sustainable Design and Building (ENPB) at the Technical University of Munich (TUM), within the TUM School of Engineering and Design. Previously, he was Professor of Sustainable Building and Director of the Center for Sustainable Development at the University of Texas School of Architecture in Austin (2008-2010). Lang also directs the Oskar von Miller Forum and is a partner at Lang Hugger Rampp GmbH Architekten in Munich. Lang's research focuses on developing strategies for buildings with positive environmental footprints through regenerative energy systems, renewable materials, and closed material cycles. His work emphasizes comprehensive life cycle analysis considering ecological, economic, and social aspects. Current research areas include climate-resilient urban neighborhoods, circular economy in construction, and sustainable building materials. The ENPB institute conducts numerous research projects such as Building Climate-Municipal, CircularFTmehrRAUM, and Urban Green Infrastructure. Lang's publications reveal a strong trend toward life cycle assessment, multi-criteria decision-making, and computational approaches for sustainable building design. His recent work integrates machine learning with building performance analysis and focuses on practical implementation of circular economy principles in urban contexts, with increasing emphasis on quantifying environmental benefits of urban green infrastructure. TUM Sustainability Award 2022 Doce et Delecta (Second Prize for Best Teaching), 2019 Bayerischer Energiepreis 2014 International Building Skin Tech Award (2008) Promotionspreis der TUM (2000) Lang leads the Institute of Energy-Efficient and Sustainable Design and Building with numerous research grants including projects like Building.Lab+, NAWAREUM, and ECO+. His team includes researchers working on topics ranging from urban mining to life cycle assessment tools. The institute maintains several products and startups including MoMeBo, Bilanzlabor, and EnergyML that translate research into practical applications for the building industry.

• Building Permit Processes
• Digital Building Permits
• Building Information Modeling
• +۴ مورد دیگر

Judith Fauth is a researcher at the Technical University of Munich's Chair of Computing in Civil and Building Engineering, where she pioneers digital transformation in building permit processes through Building Information Modeling (BIM) and digital twin technologies. Her work bridges civil engineering, computer science, and public policy to streamline regulatory compliance across international contexts. Her research expertise spans Building Permit Processes , Digital Building Permits , Ontology Engineering , and Process Modeling , with emphasis on developing standardized frameworks for global permit system benchmarking. She investigates how semantic technologies and digital twins can automate regulatory compliance while accommodating regional variations in construction law and administrative practices. Analysis of her 2023-2025 publications reveals three dominant trends: (1) integration of digital building permits with digital building logbooks for lifecycle data management, (2) development of ontologies like OBPA for automated permit reviews, and (3) creation of taxonomies and process models (e.g., PACE-BP framework) enabling cross-national comparisons of permit systems. This work increasingly incorporates sustainability metrics and stakeholder-specific KPIs. Within TUM's research infrastructure, Dr. Fauth contributes to the BIM Lab and Digital Twinning research groups, collaborating on projects involving Gaia-X-based data frameworks and semantic modeling of the built environment. She teaches practical software development skills through the SoftwareLab course, preparing engineering students for digital construction workflows.

• Circular Construction
• Circular Economy in Construction
• Sustainable Construction Management
• +۳ مورد دیگر

Dr. Sven Mackenbach serves as a Postdoctoral Researcher and Senior Engineer at RWTH Aachen University's Institute of Construction Management, Digital Engineering and Robotics in Construction (ICoM) since January 2023. Holding a doctorate in circular construction from the same institution, he leads the development of the "Circular Construction" research area, oversees multidisciplinary projects, and teaches Sustainable Construction Management to engineering students. His academic credentials include: PhD in Circular Construction, RWTH Aachen University (2023) Mackenbach's research integrates circular economy principles with digital construction technologies, focusing on strategic management frameworks for sustainable building practices. His expertise spans modular construction methods, BIM-based sustainability assessment, and digital twinning applications for infrastructure management. He bridges theoretical research with practical implementation through sustainability consulting for construction stakeholders, addressing real-world challenges in resource efficiency and regulatory compliance. His publication portfolio reveals a decisive shift toward data-driven circular construction solutions, with increasing emphasis on BIM-ontology integration for deconstruction planning, public participation systems, and sewer infrastructure management. Recent works demonstrate sophisticated methodological approaches to quantify ecological, economic, and social sustainability metrics without specialized expertise. As a scientific supervisor, Mackenbach mentors research assistants in project execution while contributing to curriculum development through his specialized course instruction. His leadership in research project coordination indicates substantial grant management experience, though specific funding sources aren't detailed in available materials. Within ICoM's collaborative environment, he contributes to cross-disciplinary teams advancing digital engineering and robotics applications in construction, particularly through the KaSyTwin sewer management project and BIPV facade digitalization initiatives.

• Spatial Modeling
• Temporal Modeling
• Semantic Modeling
• +۷ مورد دیگر

Prof. Thomas H. Kolbe serves as Chair of Geoinformatics at the Technical University of Munich (TUM), where he leads research in spatial, temporal, and semantic modeling of urban environments. His work focuses on developing foundational frameworks for 3D/4D city models, digital twins, and smart city applications through international standardization efforts including CityGML and IndoorGML. His research spans virtual city modeling, urban system simulation, and GIS integration with emerging technologies. Current projects emphasize AI-driven urban scenario generation, semantic streetspace modeling, and IoT integration in digital twin ecosystems. Recent publications demonstrate strong interdisciplinary connections between computer vision, urban planning, and geospatial data science, with particular emphasis on practical implementations of 3D city models for sustainability challenges. Prof. Kolbe actively contributes to professional organizations including the Round Table GIS eV (as Chairman since 2013) and the Munich Data Science Institute (as core member since 2021). His leadership extends to the Leonhard Obermeyer Center for digital methods in the built environment and the Hans Eisenmann Forum for agricultural sciences. His work bridges theoretical geoinformatics with practical urban applications through numerous collaborative projects with municipal governments and industry partners.

• Sustainable Everyday Practices
• Resource Consumption
• Household Technologies
• +۳ مورد دیگر

Toke Haunstrup Bach Christensen is a Senior Researcher at the Department of the Built Environment within the Faculty of Engineering and Science at Aalborg University. He is affiliated with the Sustainable Cities and Everyday Practice Research Group and the Center for Design, Innovation and Sustainable Transitions. His research focuses on the interplay between everyday practices and sustainability, particularly in areas such as resource consumption, smart energy systems, and sustainable mobility. Key roles: Project PI in initiatives like DECODIT and RESPOND Expertise: Practice theory, energy transitions, urban planning Geographic focus: Denmark and Scandinavia Research Interests: Everyday practices and their environmental impacts Integration of technology in domestic and mobility systems Sufficiency strategies and institutional reprogramming Post-pandemic spatial configurations of home and work Articles Trends: Recent work emphasizes smart energy systems, rethinking urban mobility (e.g., MaaS and carsharing), and leveraging practice theory to address climate challenges. A recurring theme is exploring how institutional and material frameworks can be 'reprogrammed' to support sufficiency. Grants/Projects: DECODIT: Empowering citizens for twin transition (€5.2M, 2024–2027) RESPOND: Long-term pandemic impacts (€3.8M, 2022–2026) GECKO: AI co-creation for sustainable transitions (€4.1M, 2021–2024) Labs/Teams: Active in interdisciplinary research groups focusing on sustainable urban development and energy systems innovation.

• Solar energy
• Renewable energy technologies
• Heat transfer
• +۳ مورد دیگر

Professor Tim Anderson is affiliated with Charles Sturt University, where he serves in the School of Computing, Mathematics and Engineering. Holding a PhD from the University of Waikato and degrees from the University of New South Wales, he brings over two decades of expertise in mechanical engineering and renewable energy research. Education : PhD (University of Waikato), ME, BE (University of New South Wales) Research Interests span solar and renewable energy technologies, natural convection heat transfer, sustainable built environments, and experimental/computational heat transfer and fluid mechanics. His work bridges engineering innovation with practical industry applications, particularly in solar water heating and high-temperature heat pumps. Professional Memberships include: Engineers Australia (MIEAust) Australian Institute of Refrigeration, Air Conditioning and Heating (MAIRAH) Royal Society of New Zealand Te Apārangi (MRSNZ) Engineers Without Borders International Building Performance Simulation Association – Australasia Australasian Fluid Mechanics Society Architectural Science Association Standards committees: AS/NZS CS-028 (Solar Water Heaters), NZS P5210 (High Temperature Heat Pumps) As Director of CSU Engineering, he drives academic and research initiatives while mentoring over 15 PhD candidates to completion on topics like smart energy systems and thermal concentrators.

Tobias Windischمشاهده پروفایل

استاد

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

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.

• Urban Climate Research
• Thermal Comfort
• Urban Air Quality
• +۶ مورد دیگر

Prof. Dr. Uwe Schlink is a leading Professor at the Institute of Meteorology, University of Leipzig, and Senior Researcher at the Department of Urban & Environmental Sociology, Helmholtz Centre for Environmental Research - UFZ. His work focuses on urban climate research , thermal comfort , urban air quality , and statistical modelling with Bayesian inference. He leads the working group on urban climate and personal exposure, bridging environmental science with societal resilience. Affiliation: University of Leipzig (since 2009) and UFZ (since 2013) Research Themes: Urban heat islands, personal exposure to environmental stressors, statistical climate models, and health impacts of air pollution His research spans environmental health , urban climatology , and resilient city planning , with significant contributions to understanding thermodynamic interactions between urban structures and climate. He has pioneered methods for high-resolution land surface temperature analysis and green infrastructure performance in mitigating heat stress. Recent publications (2023-2025) highlight his work on PM2.5-bound PAH exposure , anthropogenic heat impacts in Beijing, and Asian plateau climate dynamics . Collaborative projects address urban heat stress , green roofs , and health-focused urban planning .

Beatrice Podtschaskeمشاهده پروفایل

استاد

• Healthcare Management
• eHealth
• Human Factors Engineering
• +۶ مورد دیگر

Professor Beatrice Podtschaske serves as Professor of Healthcare Management & eHealth at the Flensburg University of Applied Sciences, Faculty of Business and Economics. She also holds the important position of Vice President for Curriculum Development, Digitalization, Equality and Diversity at the university. Her work focuses on bridging healthcare management with digital innovation, particularly in developing human-centered approaches to healthcare technology and processes. Dr. Podtschaske's research interests span multiple critical areas in modern healthcare: human-centered design of healthcare systems (Human Factors Engineering), user-centered innovation and implementation processes, and the integration of eHealth, robotics, and artificial intelligence in healthcare settings. Her work specifically addresses how technology can better serve patients and healthcare professionals through thoughtful design that considers the complex realities of medical environments. Her recent publications demonstrate consistent focus on healthcare system optimization, particularly examining critical care information systems, patient safety, and the implementation of digital tools in medical settings. The research trends show increasing attention to artificial intelligence applications in healthcare, particularly in end-of-life care contexts through her CARE-AI project and FLAIR (Flensburg Artificial Intelligence Research) initiatives. Dr. Podtschaske is currently leading efforts to build a new nursing degree program at the university to address workforce shortages in healthcare. She is also actively involved with the Institute for eHealth and Healthcare Management (IEMG), where she serves as a contact person for business administration, academic student advising, and internships with a focus on healthcare management. Her career path includes significant international experience, having worked at Stanford University Hospital in patient safety and built a user research group at a medical technology company in Silicon Valley. This practical industry experience informs her academic work, giving her research strong real-world applicability and relevance.

Maria Matheouمشاهده پروفایل

استادیار

• Kinetic Architecture
• Adaptive Structures and Envelopes
• Automated Design Systems
• +۳ مورد دیگر

Maria Matheou is a junior professor at the Institute for Lightweight Structures and Conceptual Design (University of Stuttgart), where she leads the A07 subproject within the DFG-funded SFB1244 initiative. Her research focuses on adaptive kinetic facades, aiming to enhance urban sustainability through dynamic building envelopes that improve daylight performance and mitigate urban heat islands. She teaches design studios emphasizing transformable architecture and interdisciplinary approaches. She holds a B.Sc. (2009), Diploma (2010), and Ph.D. (2014) in Architecture from the University of Cyprus, with postdoctoral research on kinetic hybrid structures. Her work integrates robotics, automation, and environmental engineering to create responsive architectural systems. Key Research Projects : SFB1244: Adaptive skins for future built environments ADDOPTML: Optimized 3D-printed structures using machine learning Teaching : Adaptive Façade Skins (B.Sc./M.Sc., University of Stuttgart) Building Technology (University of Cyprus) Awards : Lambros & Thalia David Award for Excellence in Architectural Design (2010) University of Cyprus Scholarship for Academic Excellence (2013) Her lab collaborates globally with institutions like McGill University and the National Technical University of Athens on daylight optimization and reconfigurable mechanisms.

Seyed Hossein Saghebyمشاهده پروفایل

مدرس

• Building energy and information technology
• Energy and Information Technology for the Built Environment
• Machine learning and AI application in facilities and buildings
• +۷ مورد دیگر

Dr. Seyed Hossein Sagheby serves as a University Lecturer in the Building Energy and Information Technology department at HTW Berlin (Hochschule für Technik und Wirtschaft Berlin). His academic work focuses on the intersection of energy systems, information technology, and sustainable building practices within the university's Engineering - Energy and Information division. Dr. Sagheby's research interests span multiple cutting-edge areas in sustainable building technology. His work prominently features machine learning and AI applications for facility management , with particular emphasis on optimizing building automation systems. He actively researches sustainable smart buildings and develops methodologies for sustainability assessment and decarbonization audits in the built environment. His expertise extends to climate-friendly energy supply systems and comprehensive approaches to energy-efficient building design , contributing to the broader goals of creating sustainable urban environments. His academic activities include participation in the university's research cluster focused on climate-friendly energy supply systems and energy-efficient buildings. Dr. Sagheby maintains regular office hours on Wednesdays from 12:15-13:15 in Room C211 at the Wilhelminenhof Campus, with appointments available during semester breaks. Beyond his teaching responsibilities, he serves in multiple administrative capacities including as Internship Coordinator, Examination Board Member, BAföG Representative, and Study Advisor.

• Digital Landscape Architecture
• Building Information Modeling (BIM)
• Sustainable Urban Planning
• +۴ مورد دیگر

Ilona Brückner is a Lecturer at the Faculty of Agricultural Sciences and Landscape Architecture at Osnabrück University of Applied Sciences . She specializes in digital planning tools, particularly Building Information Modeling (BIM) and 3D Visualization , with a focus on integrating landscape architecture into BIM workflows. Her work addresses challenges in sustainable urban planning, environmental design, and digital infrastructure projects. University: Osnabrück University of Applied Sciences School: Agricultural Sciences and Landscape Architecture Role: Lecturer (Lehrkraft für besondere Aufgaben) Research Focus: BIM Applications, Digital Landscape Modeling, Sustainable Urban Development Dr. Brückner leads research projects on BIM integration in landscape planning, including collaborations with Freie und Hansestadt Hamburg, Vonovia SE, and BERDING BETON GmbH. Her recent work explores BIM workflows for climate resilience , drainage planning , and urban green space management . She contributes to standardization efforts in the buildingSMART Fachgruppe Landschaftsarchitektur and FLL Arbeitskreis BIM . Key scientific contributions include developing BIM object catalogs for landscape elements, creating digital workflows for construction permits , and modeling ecological processes within BIM frameworks. Her work bridges landscape architecture , infrastructure planning , and digital transformation in the built environment. Dr. Brückner supervises students in BIM applications for landscape architecture and teaches courses on CAD , Geoinformation , and digital representation techniques . Her students explore topics like parametric modeling , 3D scanning , and virtual reality in landscape design. She contributes to workshops and seminars on BIM adoption across Germany, collaborating with institutions like Architektenkammer Berlin and Science to Business Hochschule Osnabrück . Her outreach emphasizes interdisciplinary planning and digital skills development in the green sector.

Martin Behnischمشاهده پروفایل

استاد

• Spatial Data Science
• Urban Data Mining
• Geospatial Analysis
• +۷ مورد دیگر

Professor Martin Behnisch holds the Professorship for Spatial Information and Modelling at Dresden University of Technology (TUD) since 2023 and leads the same research area at the Leibniz-Institute of Ecological and Regional Development since 2011. He has held academic roles including Lecturer at Technische Universität Dortmund (2007–2011) and Senior Lecturer at Tianjin University (2005–2007). Diploma: Architecture (KIT, 1995–1998) MSc in Geographical Information Science and Systems (summa cum laude, Paris Lodron University Salzburg, 2004–2007) PhD (summa cum laude, Karlsruhe Institute of Technology, 1998–2004) His research interests span Spatial Data Science , Urban Sprawl , Building Stock Dynamics , and GIScience for Sustainable Urban Development , with a focus on data-driven approaches to monitor land consumption, soil sealing, and urban metrics. He has led major projects funded by DFG , SNF , BMBF , and BMWI , including analyses of urban solar potential , non-residential building databases , and insect biodiversity in protected areas . Recent publications (2024–2025) address residential infill determinants , urban sprawl drivers , and hybrid energy modeling , emphasizing spatiotemporal analysis. Earlier works (2018–2023) explored cluster analysis for land use patterns, 3D urban modeling , and crowdsourcing façade data . Key Collaborations : Associate Professor Dr. Jochen A.G. Jaeger (Concordia University), Prof. Dr. Markus Neppl (KIT), Prof. Niklaus Kohler (ETH Zurich) Grants : DFG (land use change), SNF (building stock conservation), BMWi (solar potential), BBSR (non-residential data), UBA (settlement trends) Editorial Roles : Guest Editor for ISPRS International Journal of Geo-Information and Environment and Planning B

• Human-Computer Interaction
• Mixed Reality
• Smart Built Environments
• +۴ مورد دیگر

Denis Gracanin is a Professor at Virginia Tech's Department of Computer Science, College of Engineering. His research spans Human-Computer Interaction, Mixed Reality, Smart Built Environments, and Generative AI, with a focus on immersive technologies, cybersecurity, and assistive systems. Research highlights include: Developing frameworks for XR-based security in zero-trust networks Advancing real-time 3D object generation in augmented reality using generative AI Designing smart environments for stress management and mobility assistance His recent work explores AI-driven design optimization, sonification in immersive analytics, and privacy-centric IoT systems. Articles emphasize applications in healthcare, cybersecurity, and smart lighting, leveraging machine learning and multimodal data. Gracanin collaborates extensively with researchers like Kresimir Matkovic, Mohamed Azab, and Majid Behravan, publishing in top venues such as IEEE Transactions on Visualization and Computer Graphics, CHI, and VR Workshops.

Ghang Leeمشاهده پروفایل

استاد

• Building Information Modeling (BIM)
• Artificial Intelligence in Construction
• Information Interoperability
• +۵ مورد دیگر

Ghang Lee is a Professor at the Department of Architecture and Architectural Engineering of Yonsei University in Seoul, South Korea. He directs the Building Informatics Group, focusing on Building Information Modeling (BIM) , AI applications in construction , and automated code compliance checking . His work bridges human expertise with artificial intelligence, advancing digital transformation in the built environment. Developed systems: Tower Crane Navigation System (TCVS), IoT-based exit signs, and NADIA (speech-to-BIM tool) Co-author of the internationally recognized BIM Handbook Recipient of Silver Medal (President of Korea) and multiple Outstanding Research Achievement Awards Research Interests span BIM, information interoperability, quality management, and AI-driven construction technologies. His recent work emphasizes: NLP for defect detection and classification Domain-specific corpus embeddings Human-AI collaboration in design Smart construction and digital twinning Building informatics standardization Visual-language models for defect analysis Scientific Awards include Silver Medal (President of Korea), Stanford/Elsevier Top 2% Scholar recognition, and multiple Outstanding Conference Paper Awards from KICEM, AIK, and KAIARI. He also holds Yonsei Distinguished Teaching Awards and Ministry of Land, Infrastructure, and Transport commendations.