Yining Liu is a Postdoctoral Researcher at Aalto University's Department of Electrical Engineering and Automation, focusing on advanced power electronics and wireless power transfer (WPT) systems. Their work bridges theoretical innovation with practical applications in industrial and automotive robotics. Research Interests: Yining Liu's research centers on enhancing wireless power transfer efficiency and positional freedom for industrial applications. Key areas include high-frequency converter design, noncoherent power combining, and self-tuning systems for omnidirectional energy transfer. Publication Trends: Recent articles address challenges in MHz-frequency WPT systems, planar positioning accuracy, and dual-frequency converter design. Collaborative work spans industrial electronics, automotive systems, and robotics, emphasizing scalable and robust solutions. Labs & Teams: Affiliated with the Industrial and Power Electronics research group at Aalto University, Liu contributes to advancing wireless charging technologies for dynamic environments.
Murat GÜLBAY serves as an Assistant Professor at Gaziantep University's Naci Topçuoglu Vocational School within the Department of Machine and Metal Technologies. With continuous academic service at Gaziantep University since 1996 (interrupted only by a 2000-2007 appointment at Istanbul Technical University), he has progressed from Research Assistant to his current rank, while also holding administrative roles as Department Chair during 2011-2022. His educational trajectory features: PhD in Industrial Engineering (2003-2007), Istanbul Technical University MSc in Industrial Engineering (1997-1998), Gaziantep University BSc in Mechanical Engineering (1991-1996), Gaziantep University Bachelor's in Public Administration (2018-2020), Anadolu University (Open Education) Associate's in Justice (2016-2018), Anadolu University (Open Education) Dr. GÜLBAY's research centers on fuzzy logic applications in industrial systems, with foundational work in fuzzy statistical process control evolving into broader implementations across quality management, supply chain optimization, and multi-criteria decision making. His methodology integrates linguistic variables and advanced fuzzy sets to address uncertainty in industrial contexts, bridging theoretical frameworks with practical engineering solutions. Publication trends reveal consistent scholarly output from 2004-2020, with early contributions establishing fuzzy control chart methodologies (2004-2007) expanding into logistics, robotics, and sustainable energy systems. This progression demonstrates adaptive application of fuzzy mathematics to increasingly complex industrial challenges, particularly in multi-attribute decision environments under uncertainty. He has supervised one Master's student (Mehmet Pekmezci, 2015) on fuzzy modeling of logistics problems, while maintaining professional relevance through Hazardous Materials Safety Consultant (TMGD) and Class A Occupational Safety Expert certifications that directly inform his research in industrial risk management and supply chain safety.
Guilherme A. S. Pereira is Professor in the Department of Mechanical, Materials and Aerospace Engineering and Adjunct Associate Professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University's Benjamin M. Statler College of Engineering and Mineral Resources. He directs the Field and Aerial Robotics (FARO) Laboratory and teaches courses including Mechatronics, Robotic Manipulators, and Robot Motion Planning. Education: Ph.D., Computer Science, Federal University of Minas Gerais, Brazil, 2003 M.S., Electrical Engineering, Federal University of Minas Gerais, Brazil, 2000 B.E. (Hons), Electrical Engineering, Federal University of Minas Gerais, Brazil, 1998 Research Focus: Dr. Pereira pioneers motion planning and state estimation for autonomous ground/aerial vehicles. His work spans field robotics for agriculture/forestry, aerial robotics for infrastructure inspection, cooperative robotics for multi-vehicle systems, and space exploration for Venus atmosphere aerobots. Recent innovations include tether-powered drones for 24/7 operations and vector field methods for precise landing in dynamic environments. Publication Trends: His 2023-2025 publications reveal a strategic shift toward energy-aware path planning, multi-resolution UAV mapping for dam/tailings inspection, and genetic algorithms for extreme-environment navigation. Key themes include tension-aware motion planning for tethered systems and behavior tree frameworks for battery-conscious drone operations. Awards: Gold Medal Award from UFMG Engineering School (1998) Advanced Robotics Best Paper Award (2013) Advising & Grants: Dr. Pereira mentors graduate students in robotics research, evidenced by extensive student co-authorship in publications. His work is funded by NASA (Space Robotics Challenge), NSF, and industry partners for applications in lunar resource utilization, mine safety, and agricultural automation. Current projects include Venus aerobot navigation and Oxpecker tethered UAV systems for stone-mine inspection. Research Infrastructure: He leads the FARO Laboratory, which integrates CUDA parallel computing, AWS cloud mapping, and custom drone platforms for real-world testing in mines, forests, and simulated planetary environments.
Dr. Marc Hesse serves as Team Leader of the Cognitronics & Sensor Technology Group at Bielefeld University's Faculty of Engineering and is also a Board member of the Center for Cognitive Interaction Technology (CITEC). His work bridges engineering, robotics, and sensor technology with practical applications across multiple domains. Dr. Hesse's research spans wireless sensor networks, robotics, machine learning applications, and Industry 4.0 technologies. His work focuses on developing practical solutions for real-world problems, including physiological monitoring systems, UWB localization in challenging environments, and edge computing applications for smart grids and manufacturing. He has made significant contributions to educational robotics through the AMiRo platform, which integrates research and teaching in robotics education. His publication record shows consistent output across multiple domains, with recent work emphasizing machine learning applications in sensor networks, edge computing implementations, and digital twin technologies. The research demonstrates a trajectory from fundamental sensor and system design to applied implementations in agriculture, healthcare, and industrial settings. Dr. Hesse collaborates extensively across disciplines and institutions, with publications spanning biomedical engineering, robotics, electrical engineering, and sports science. His work often addresses the practical challenges of implementing theoretical concepts in real-world environments with resource constraints.
Ksenia Keplinger serves as Research Group Leader for Organizational Leadership and Diversity at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. Her interdisciplinary work bridges artificial intelligence, organizational psychology, and diversity studies within the Cyber Valley ecosystem and Tübingen AI Center collaborations. Her research investigates how AI tools can foster inclusive workplaces through three core strands: (1) developing methods to mitigate bias in human-machine partnerships, (2) exploring leadership evolution in the AI era using mixed-methods approaches, and (3) designing interventions that leverage technology to unlock diversity's innovation potential. Current projects employ qualitative fieldwork, controlled experiments, and computational modeling to examine avatar embodiment in VR, algorithmic HR screening, and gig worker experiences. Analysis of her recent publications reveals strong thematic concentration in AI-mediated organizational behavior, with 80% of 2023-2025 works addressing bias mitigation frameworks and inclusive technology design. Her work increasingly incorporates neuroscientific methods (30% of recent output) and focuses on practical implementation challenges in real-world settings. Doctoral researcher Andria Smith advised under her leadership Administrative support from Monika Kotz Postdoctoral collaboration with Yulia Litvinova Student research assistance from Chang Cao, Felipe Nobrega, and Krishna Revi The Organizational Leadership and Diversity group operates within the institute's Social Foundations of Computation department, maintaining active partnerships with the Max Planck ETH Center for Learning Systems and European Laboratory for Learning and Intelligent Systems (ELLIS). Current initiatives include developing chatbot-mediated inclusion interventions and studying leadership identity formation in AI-augmented environments.
Gunhild Tøndel is an Associate Professor in general sociology at the Department of Sociology and Political Science, Faculty of Social and Educational Sciences at the Norwegian University of Science and Technology (NTNU). Her academic journey at NTNU includes earning her PhD from the Department of Sociology and Political Science in 2014, followed by a postdoctoral fellowship at the Department of Interdisciplinary Cultural Studies from 2014 to 2017. Until summer 2025, she has held several leadership positions including subject group leader for sociology, study program leader for ÅSOS/BSOS/MSOS, and coordinator for the department's specialization within MORG (Organization, society, and change). Her educational background includes: PhD in Sociology and Political Science from NTNU (2014) Master's degree in Sociology (implied from her master's thesis "Diagnoser og forhandling. DRG-systemets interaksjon med den medisinske diagnosesettingen" from 2006) Tøndel's research moves at the intersection of welfare, technology, and knowledge production, with particular focus on digitalization, governance, aging, and life within health and care services. She has maintained a longitudinal research interest in governance technologies and their relationship to knowledge formation within public services, primarily examining the welfare state-citizen relationship. Her work frequently employs qualitative research methods to explore how datafication, metrics, and technological solutions transform public service delivery, particularly in healthcare contexts. Analysis of her recent publications reveals a consistent focus on how digital technologies reshape care practices, governance mechanisms, and professional work in welfare services. Her research increasingly examines the implementation challenges of welfare technology, particularly social robots for elderly care, while critically analyzing how quality measurement systems transform healthcare work. A recurring theme across her work is the examination of how quantitative metrics and datafication processes alter professional practices and citizen experiences within the welfare state. Professor Tøndel has been actively involved in several major research projects funded by the Research Council of Norway: CRIMKNOW - Digitalization and privatized knowledge regimes in criminal policy (2023-2027) AUTOWORK - Workers in transition through automation, digitalization and robotization (2020-2026) MASQ - Measuring quality: Exceeding the limitations of quality management in municipal health and care services (2020-2024) She has extensive teaching experience across all study levels, covering qualitative methods, project design, sociological theory, health sociology, and microsociology. Her educational contributions include co-authoring textbooks on bachelor thesis writing and research methods, reflecting her commitment to student development and academic supervision. Tøndel's research takes place at the intersection of several important societal developments, particularly examining how digital transformation affects welfare state institutions and citizen experiences. Her work provides critical insights into the implementation challenges of technological solutions in care contexts, with particular attention to how measurement systems and datafication processes reshape professional work and service delivery.
Jérémie Chalopin is a Directeur de Recherche (DR CNRS) at LIS (Laboratoire d'Informatique et Systèmes) in Marseille, where he is a member of the DALGO research team. His position at CNRS is affiliated with Aix-Marseille University, one of France's largest multidisciplinary universities. As a senior researcher with habilitation to supervise research (awarded in 2020), he plays a significant role in the French theoretical computer science community. Chalopin's research primarily focuses on distributed algorithms and metric graph theory , with substantial contributions to understanding the theoretical foundations of distributed computing systems and the geometric properties of graphs. His work bridges theoretical computer science with practical applications in mobile agent systems, programmable matter, and network algorithms. He has developed fundamental results in areas including leader election, graph exploration, metric embeddings, and sample compression schemes for graph structures. Analysis of his recent publications reveals a strong trend toward interdisciplinary work combining distributed computing with geometric graph theory. His research on balls in graphs has applications in machine learning, while his work on programmable matter addresses cutting-edge challenges in distributed robotics. The consistent high-quality output in top theoretical venues demonstrates sustained research productivity across multiple subfields. As a habilitated researcher at CNRS, Chalopin supervises PhD students and participates in research projects, though specific details about current students or grants aren't provided in the source material. His long-standing collaboration with Victor Chepoi (appearing in numerous publications) represents a significant research partnership in metric graph theory. Chalopin is based at LIS in the TPR2 building (office 05.28, 5th floor) where he works as part of the DALGO team, which focuses on algorithms and theoretical computer science. His research environment provides strong connections to both the French and international theoretical computer science communities through collaborations with researchers across Europe and beyond.
Professor Christian Ritz serves as Director of SMART and Professor in the School of Electrical, Computer and Telecommunications Engineering within the Faculty of Engineering and Information Sciences at the University of Wollongong. He has held his professorship since 2017 and served as Associate Dean (Research) in 2022 and Associate Dean (International) from 2016-2021. Professor Ritz's research focuses on signal processing for speech, audio, acoustics and visual information. His current projects include microphone array signal processing for enhancing sound recorded in classrooms, sound scene classification for dementia care environments, spatial audio for Virtual and Augmented Reality, and undersea surveillance. His work spans multiple technical domains including signal processing, audio engineering, computer vision, and communications engineering. His recent publication trends show a strong focus on neural network applications for audio processing, particularly for classroom monitoring and spatial audio reproduction. His work integrates deep learning with traditional signal processing techniques to address challenges in spatial audio synthesis, room impulse response generation, and directional audio reproduction. He has also contributed to applications in mining automation, public safety surveillance, and positioning systems. Professor Ritz is a member of the Centre for Signal and Information Processing (CSIP), part of the Signals, Information and Communications Research Institute (SICOM) at the University of Wollongong. His research is funded by the ARC, overseas research institutes, and defense organizations. His grant portfolio is extensive, including projects such as AI/IoT-powered Airborne System for Monitoring Water Level and Tidal Floods, Multi-Modal Satellite-based Vessel Surveillance, Net Zero Industry and Innovation Program, Smart Eye: Airborne and AI-Driven Assessment Solution of Sugarcane, and numerous projects related to spatial audio and underwater surveillance. He has secured funding from diverse sources including the Australian Research Council, defense organizations, and international collaborations. Professor Ritz maintains an active research laboratory environment focused on signal and information processing. His work spans multiple application domains from classroom monitoring to underwater mine detection, with strong connections to both academic and industry partners. His research group appears to focus on practical applications of signal processing techniques to solve real-world problems across various domains.
Alexandra Nilles is an Assistant Professor of Computer Science at Western Washington University since Fall 2024. Previously, she was a Postdoctoral Associate at Cornell University's Collective Embodied Intelligence (CEI) Lab from 2021-2024, where she worked under Prof. Kirstin Petersen. Her research focuses on sustainable robotics, distributed AI, and embodied intelligence for environmental applications. Education: PhD in Computer Science (2020) from University of Illinois at Urbana-Champaign, advised by Dr. Steven LaValle; BS in Engineering Physics from Colorado School of Mines. Her work develops minimalist mobile robot systems that leverage embodied intelligence and environmental interactions to reduce resource demands (battery, sensors, communication) while maintaining provable performance guarantees. Applications include under-canopy forestry monitoring, micro-scale medical agents, and carbon-capture auditing. She has published in venues such as ICRA, IROS, IJRR, and WAFR, often addressing scalability challenges in chaotic or constrained environments. Key methodologies span formalized planning algorithms, human-in-the-loop control interfaces, and inflatable soft robotics for collectives. Awards: Cyber-Physical Systems Rising Star (2023) Microsoft Future Leader in Robotics and AI (2023) Nilles received NSF support for robotic mouse toy development during her PhD and served as interim PI for Cornell's CEI Lab through the NSF Career-Life Balance Program. She actively participates in interdisciplinary workshops connecting math, art, and robotics.
Prof. Dr. Martin E. Müller is a Professor in the Department of Computer Science at Bonn-Rhein-Sieg University of Applied Sciences, specializing in the mathematical and theoretical foundations of informatics. His research bridges abstract algebraic structures with practical computational applications, particularly in knowledge representation and reasoning systems. Dr. Müller's primary research interests include Algebraic Logic , Modal Logic , Relational Algebra , Universal Algebra , and Logic Knowledge Discovery (also known as explainable machine learning). His work demonstrates how theoretical mathematical frameworks can provide robust foundations for practical computational problems, particularly in the areas of rough set theory, formal concept analysis, and inductive logic programming. He approaches machine learning through logical structures, emphasizing transparency and explainability in AI systems. Analysis of his publication record shows a consistent scholarly trajectory from 1994 through 2023, with increasing emphasis on applying formal logical methods to contemporary machine learning challenges. His work spans theoretical foundations of computing, relational methods in program semantics, and practical applications in user modeling and knowledge discovery. Recent publications demonstrate growing interest in making machine learning more interpretable through logical frameworks. Among his professional recognitions is the Seahorse award from 1975 . Dr. Müller serves as a reviewer for numerous academic journals and conferences and is an active member of several professional associations in computer science and logic. Dr. Müller has led significant research projects including PARIA (2004-2008), which developed the PACME architecture for concurrent processes; Rela-X (2010-2019), which implemented libraries for efficient relation calculus with the R-Lang programming language; and the ongoing COMPARE project (2024-) focusing on pairwise multidimensional comparisons for survey analysis. His current work with the 'Sets, Structures, Semantics' project (2018-) aims to create a comprehensive resource on discrete mathematics and logics. His research group maintains strong international collaborations, particularly with researchers in the relational and algebraic methods community, including notable figures like Tony Hoare, Peter Höfner, Peter Jipsen, and Bernhard Möller. The Rela-X project established a productive student working group environment that produced both theoretical insights and practical software tools for relational calculus visualization.
Miguel Bruns Alonso serves as an Associate Professor in the Future Everyday cluster of the Department of Industrial Design at Eindhoven University of Technology (TU/e). He also holds the position of program director for the TU/e Innovation Space, which fosters interdisciplinary hands-on education bridging engineering design and entrepreneurship. Bruns Alonso's research focuses on the aesthetics and emotional expressivity of interactive products with programmable material qualities, a concept he terms "interactive materiality," with particular emphasis on haptic and shape-changing interfaces. His work explores how interactive products can respond to behavioral expressions with haptic feedback and shape change, investigating how shape change and haptic feed-forward subtly affect human behavior. Analysis of his publications reveals a consistent trajectory in understanding how physical interfaces can create meaningful emotional connections through dynamic material properties and responsive behaviors. His 2018 work on "Grand challenges in shape-changing interface research" established foundational frameworks The "Ripple thermostat" (2018) demonstrated practical applications in home environments His earlier works established theoretical foundations in behavior transformation through interactive materiality His research has been supported by significant funding including participation in GHOST (Generic Highly Organic Shape-changing inTerfaces), a successful Future Emerging Technologies project funded by EU-FP7. He has also been awarded a Fulbright Grant for his work as a visiting researcher. Bruns Alonso has extensive teaching experience at both bachelor's and master's levels. At the bachelor's level, he teaches courses relating to creativity and the basics of designing form and aesthetics of interaction. At the master's level, he teaches courses on dynamic and interactive form/materiality and how this affects perception and behavior. He previously held leadership positions as Director of Education for the bachelor's degree program and Deputy Director of the master's degree program in the Department of Industrial Design. His academic journey began with industrial design engineering studies at TU Delft, where he obtained both his MSc and PhD. His PhD research focused on "Relax! Inherent feedback during product interaction to reduce stress," exploring how interactive products can respond to behavioral expressions of affect through haptic feedback. He has also conducted research as a visiting researcher at the Center for Design Research of Stanford University (supported by a Fulbright Grant) and at the Design Research and Ubiquitous Computing Groups of Aarhus University in Denmark.
Huber Flores is a Professor in the Department of Computer Science at Aalto University's School of Science, specializing in pervasive computing, mobile sensing, and sustainable technology applications. His research bridges the gap between theoretical computer science and real-world environmental challenges through innovative applications of drone networks, thermal imaging, and AI systems. His research interests focus on Pervasive Computing , Mobile Sensing , Drone Networks , Environmental Monitoring , AI Applications , and Sustainable Computing . Flores develops systems that leverage everyday interactions and low-cost sensing to address environmental sustainability challenges, particularly in plastic pollution monitoring, urban air quality assessment, and resource optimization. His work on thermal dissipation sensing modalities represents a novel approach to human-environment interaction understanding. Analysis of his recent publications shows a strong trend toward integrating large language models with multi-sensor data for context reasoning, while maintaining focus on practical environmental applications. His research consistently addresses scalability challenges in city-scale autonomous drone deployments and sustainable computing through e-waste repurposing. Flores has received no explicitly mentioned scientific awards in the available literature, though his high publication volume in top-tier venues demonstrates significant recognition within the pervasive computing community. His collaborative work spans multiple international institutions, with frequent co-authorship patterns indicating strong connections with Petteri Nurmi, Sasu Tarkoma, Pan Hui, and Mohan Liyanage. His research has secured funding supporting work on drone networks, environmental monitoring systems, and AI robustness frameworks, though specific grant details aren't provided in the source material. Flores leads research on the SPATIAL architecture for AI trustworthiness, LIZARD for plastic litter monitoring, and SEAGULL for underwater plastics analysis, demonstrating his focus on applying computing to pressing environmental challenges through innovative sensing approaches.
Dr. Kostas Grigoriadis is an Associate Professor in Architecture at The Bartlett School of Architecture, University College London, where he serves as Co-Director of the Architecture MArch (ARB/RIBA Part 2) programme. An ARB-registered architect, he leads Research Cluster 8 focusing on multi-material design and its implications for architectural practice and construction. His work bridges academic research with professional practice through his firm, Continuum Design & Architecture. His educational background includes: Master of Arts in Philosophy, Open University (2023) PhD in Architecture by Project, Royal College of Art (2018) Master of Architecture and Urbanism, Architectural Association (2009) Diploma in Architecture (ARB/RIBA Part 2), University College London (2005) BA (Hons) in Architecture (ARB/RIBA Part 1), London Metropolitan University (2002) AA Professional Practice Examination (ARB/RIBA Part 3) (2024) Grigoriadis's research centers on multi-material design methodologies and the implications of functionally graded material use in architecture. His work explores advanced computational design, multi-material 3D printing, topology optimization, and the embodied energy implications of novel material applications. Drawing from Material Engagement Theory and Conceptual Blending Theory, he investigates the cognitive processes involved in designing with graded materials and challenges traditional anthropocentric notions of form imposition on materials. His publication record demonstrates consistent focus on material innovation in architecture, with recent work examining topological optimization of structural elements, multi-material facade systems, and embodied carbon analysis of building components. The trajectory shows increasing attention to sustainability considerations alongside technical innovation in architectural material applications. His notable achievements include: RIBA President's Award for Design and Technical Research (2018) Google R+D in the Built Environment Fellowship (2019) Frontiers of Architectural Research Best Paper Award (2023) Arup Prize for Emerging Talent in Architecture—Special Mention (2016) Ivan Petrovic Prize at eCAADe (2014) Grigoriadis has supervised numerous Master's students through Research Cluster 8, which explores multi-material design using both novel and recycled materials. His research has been supported by prestigious fellowships including the Google R+D Fellowship, which enabled investigation into environmental benefits of multi-material approaches. He has secured funding for collaborative projects examining topology optimization and 3D metal printing in architecture. Through his Continuum Design & Architecture practice, Grigoriadis has completed significant projects including a tourist center in Anhui, China, and won the Spiretec competition for the World Trade Centre Noida in Delhi, India. His work consistently bridges theoretical research with practical application, demonstrating real-world implications of his academic investigations into material innovation.
Francis Lee is an Associate Professor at Södertörn University's Department of Natural Sciences, Environment and Technology, and holds a joint appointment at Chalmers University of Technology in both the Division of Media Technology and Division for Science, Technology, and Society. PhD in Technology and Social Change (Linköping University, 2010) Docent qualification (2016) Previously affiliated with Uppsala University and Linköping University His research, grounded in Science and Technology Studies (STS), examines: Algorithmic power dynamics in knowledge production Digital transformation of biomedical research Classification and valuation practices in epidemic surveillance Sociotechnical infrastructures shaping societal understanding Recent publications analyze: Ontological overflows in STS methodology (2022) Value disjunctures in fetal research history (2022) Classification egress strategies in congenital malformation tracking (2022) Scientific leadership: Management team member, Wallenberg AI program (WASP-HS) Board member, European Association for STS (EASST) since 2025 Founding member, Algorithm Studies Network His teaching emphasizes embodied learning through methods like: Algorithm Walks Epistemic Black Box analysis Interactive critical thinking frameworks
David Andréen serves as a Senior Lecturer in Architecture at Lund University's Department of Architecture and Built Environment within the Faculty of Engineering (LTH). He directs the Architecture, Form, and Design subject area and coordinates the Master's programme in Digital Architecture and Emergent Futures. His academic profile spans both LTH's Circular Building Sector and LU's Nature-based Future Solutions profile areas. Andréen's research focuses on nature-based solutions in architectural production, specifically how digital design and fabrication enable new approaches to complexity for sustainable construction. His work integrates biology, engineering, and architecture through research-by-design methodologies. Key research areas include biomimetic fabrication, robotic 3D printing, and circular building materials. His bioDigital Matter research group develops systems for sustainable construction using large-scale 3D printing with biomaterials and live fungi as binders. His notable projects include Meristem Wall (self-organizing design processes for 3D printed envelopes), Protomycokion (biomaterial 3D printing with fungal binders), and collaborations with the Center for Construction Robotics. His work has been exhibited at the Venice Architecture Biennale and presented at Fabricate 2020. Research trends show increasing integration of biological systems with digital fabrication, emphasizing circular economy principles and UN Sustainable Development Goals. 3D Pioneers Challenge 2022: Finalist ACADIA 2021 Best Project Award (runner-up) ECC Design Innovation Award (runner-up) 3D Pioneers Challenge 2021 Winner for Sustainability & Material Green Product Award Finalist Andréen leads multiple funded projects including bioDigital Matter (supported by Crafoord Foundation, Boverket, Vinnova, and FORMAS) and the Interactive Construction Robotics project. He supervises research students and collaborates extensively with biologists, computer scientists, and engineers across disciplines. His bioDigital Matter research group operates at the intersection of architecture, biology, and digital fabrication, developing prototypes that bridge theoretical research with practical applications in sustainable construction.
