Florian Brosch is a Researcher at the Institute of Green Civil Engineering , University of Natural Resources and Life Sciences, Vienna (BOKU) . He holds a Dipl.-Ing. B.Sc. in Environmental Engineering and Water Management, earned between 2014 and 2021. His work focuses on sustainable construction techniques , particularly timber-concrete composite systems and high-performance concrete (UHPC) . His research integrates experimental testing and numerical modeling to optimize structural performance. Recent publications highlight advancements in adhesive bonding for timber-concrete composites, resource-efficient ceiling systems, and shear strength analysis of glue lines. Collaborative projects include pilot implementations bridging lab findings to real-world applications. Scientific Awards : 2021: VCE Innovationspreis für Exzellenzforschung im Ingenieurbau
Josephine V. Carstensen is the Gilbert W. Winslow Career Development Associate Professor in the Department of Civil and Environmental Engineering at MIT. She holds a B.Sc. and M.Sc. from the Technical University of Denmark, and an M.S.E. and Ph.D. from Johns Hopkins University. Her research focuses on leveraging digitalization and AI to revolutionize structural design, particularly in topology optimization and sustainable materials engineering. She teaches Senior Civil and Environmental Engineering Design (1.013) and Topology Optimization of Structures (1.583). Her lab, the Carstensen Group, develops algorithms for human-AI collaboration in design, emphasizing manufacturability and sustainability. Notable achievements include NSF CAREER Award (2021), CEE Maseeh Teaching Award (2021), and Denmark-America Fellowship (2012). Recent work includes minimizing carbon footprints in truss designs and automating hyperparameter tuning in topology optimization. Her research spans structural mechanics, material architecture, and carbon reduction strategies. Current projects explore AI-driven design frameworks, reclaimed material utilization, and timber-steel hybrid systems. The lab’s experimental work includes 3D-printed concrete beams and waterjet-cut steel reinforcement testing. Key Research Themes: Sustainable infrastructure, topology optimization, embodied carbon reduction, AI-human collaboration Affiliations: MIT Sustainable Materials & Infrastructure Faculty, MIT Department of Civil and Environmental Engineering Lab Focus: Interdisciplinary engineering solutions for next-generation structural systems
Marco Martino Rosso is a Research Fellow at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin, where he also serves as an external lecturer and teaching assistant in both DISEG and the Department of Mathematical Sciences (DISMA). He is affiliated with the Doctoral School (SCDOTT) and completed his PhD under the supervision of Professor Giuseppe Carlo Marano. His academic work bridges civil engineering with advanced computational methods, focusing on structural health monitoring, optimization, and machine learning applications. His research interests center on Structural Health Monitoring , Machine Learning in Civil Engineering , Earthquake Engineering , Structural Optimization , Operational Modal Analysis , and AI-driven diagnostics for infrastructure. He applies deep learning, neural networks, and hybrid modeling techniques to problems such as damage detection, post-earthquake assessment, tunnel and bridge monitoring, and dynamic analysis of timber and concrete structures. His recent publications, spanning from 2023 to 2025, demonstrate a strong trend toward integrating artificial intelligence with structural engineering, particularly in automating modal analysis, optimizing structural forms, and enhancing seismic resilience. These works appear in journals like Mechanical Systems and Signal Processing , Computers & Structures , and Bulletin of Earthquake Engineering , as well as in proceedings of international conferences such as IOMAC and EWSHM. Marco Rosso has not received any explicitly mentioned scientific awards in the provided text. However, his extensive publication record and active role in research projects indicate strong recognition in his field. He has contributed to teaching as a course collaborator in subjects including Dynamic Identification of Structures , Statistics , Construction Techniques , and Safety Assessment and Retrofitting of Structures . He has also been involved in the ARTISTE 2025 Summer School, indicating engagement in advanced training programs. While no formal lab or team name is specified, his frequent collaborations with researchers such as Angelo Aloisio, Giuseppe Carlo Marano, and Jonathan Melchiorre suggest he is part of a vibrant research group focused on intelligent structural systems and data-driven engineering at Politecnico di Torino.
Zia Javanbakht is a Senior Lecturer at the School of Engineering and Built Environment , Griffith University , specializing in Mechanical Engineering and Industrial Design . As a chartered engineer with a PhD in Mechanical Engineering, he contributes to research in Continuum Mechanics , Material Modelling (composites and metamaterials), and Computational Modelling . He is affiliated with the Australian Centre for Precision Health and Technology (PRECISE) and has been involved in projects related to additive manufacturing, auxetic materials, and composite structures. Research Interests include the development of advanced computational models for material behavior, with a focus on auxetic structures , triply periodic minimal surfaces (TPMS) , and additively manufactured composites . His work addresses challenges in residual stress analysis , multiscale modelling , and machine learning applications in material deformation mechanisms. Scientific Awards Fellow (FHEA) of Higher Education Authority, Dublin, Ireland (since 2021) Key Funded Projects span collaborations with Gilmour Space Technologies (CRC-P grant for rocket fuel tanks), Bond University (concrete sensor testing), and internal Griffith University grants for equipment like the Transient Plane Source Thermal Conductivity Analyser . He actively supervises PhD and Master’s students in topics such as polymer-matrix composites , auxetic timber structures , and additive manufacturing failure models . Collaboration Networks include the AuxeticsLab and partnerships with industry leaders like Stoddart Group Pty Ltd and ATL Composites . His teaching portfolio covers Constitutive Material Modelling (7015ENG) and Computational Statics and Dynamics (7252ENG), reflecting his expertise in computational techniques and structural analysis.
Affiliations and Roles Professor Wang holds dual appointments as Professor of Physics and Mechanical and Aerospace Engineering at Cornell University. She is affiliated with the Sibley School of Mechanical and Aerospace Engineering and the College of Arts and Sciences. Education B.S. in Physics, Fudan University, Shanghai, China (1989) Ph.D. in Physics, University of Chicago (1996) NSF-NATO Postdoctoral Fellow, Theoretical Physics, Oxford University (1997) Visiting Member, Courant Institute of Mathematical Sciences, NYU (1997-1999) Research Her research focuses on the physics of living organisms, particularly insect flight dynamics , biophysics , and computational modeling . Key projects include: Dragonfly righting reflex mechanisms Neuro-mechanical control in fruit flies Unsteady aerodynamics and fluid-structure interactions Awards and Honors Simons Fellowship in Theoretical Physics (2020) Radcliffe Fellowship (2007) Cornell Provost's Award for Distinguished Scholarship (2005) David and Lucile Packard Fellowship (2002) Labs and Collaborations Her work integrates experimental and computational approaches, often conducted in collaboration with institutions like the Janelia Research Campus (HHMI) and the Joint Texas Experimental Tokamak (J-TEXT).
Tobias Ofner-Graff is a researcher at the Institute of Forest Growth within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). Based at Peter-Jordan-Straße 82, 1190 Wien, his work focuses on advanced forest monitoring technologies. His research interests include: LiDAR and remote sensing applications in forestry Automated forest inventory systems Forest regeneration quantification Airborne Laser Scanning (ALS) data analysis Sustainable forest harvesting planning Recent project contributions include: Leading lidar-based forest monitoring systems development Developing spatial forest growth models Implementing digital inventory workflows His publications demonstrate expertise in: Quantifying forest resources through 3D point clouds Advanced timber stack measurement techniques ALS data integration for forest modeling Mobile laser scanning applications Forest climate adaptation strategies
Professor Sami Pajunen is affiliated with the Department of Civil Engineering at Tampere University, within the Faculty of Built Environment. His research focuses on structural engineering, timber and steel composites, fire safety, computational modeling, and sustainable construction practices. He has contributed significantly to the analysis of timber structures, impact sound insulation, and fire resistance of materials like cross-laminated timber (CLT). His work bridges experimental methods with advanced numerical simulations, addressing challenges in structural acoustics, nonlinear behavior, and eco-friendly construction systems. Key research interests include: structural integrity of glued laminated timber (glulam), optimization of steel-timber composite systems, fire performance of CLT panels, and vibration analysis of timber floors. He has explored innovative solutions such as the HB structural timber system and design-for-disassembly principles. His studies often involve collaboration with Finnish industry on case studies related to industrial wood construction productivity and bridge engineering practices. Publications emphasize parametric studies on structural components under fire conditions, mechanical testing of composite beams, and the application of finite element methods (FEM) for acoustic and thermal modeling. His work highlights the integration of computational tools with experimental validation to advance sustainable construction technologies.
Bassem O Andrawes is a Professor in the Department of Civil and Environmental Engineering at the University of Illinois, affiliated with the National Center for Supercomputing Applications (NCSA). His research focuses on innovative materials like shape memory alloys (SMAs) and their applications in civil infrastructure, including reinforced concrete, bridge engineering, and structural rehabilitation. He has been recognized with prestigious awards including the ASCE Fellow (2024) and NSF CAREER Award (2011). Key research interests include: Active confinement and prestressing systems using SMAs Structural health monitoring and data-driven performance evaluation Bridge deck and girder analysis under dynamic and static loads Sustainable solutions for mass timber and concrete structures Recent work highlights include developing adaptive prestressing systems for concrete crossties, SMA-based crack healing for concrete structures, and digital twin models for bridge monitoring. His studies bridge materials science with civil engineering applications, emphasizing durability and resilience in infrastructure systems. Notable achievements include over 100 peer-reviewed publications and leadership in projects addressing seismic retrofitting, FRP composites, and material testing integrated (MTI) simulation paradigms. Collaborations span academia and industry, focusing on practical solutions for infrastructure challenges.
Dr. Amar Khennane serves as a Senior Lecturer at the University of New South Wales (UNSW) Canberra campus within the School of Engineering and Information Technology. His academic career spans multiple institutions including previous appointments as Maitre de Conferences in Tizi-Ouzou, Algeria, Research Associate in Newcastle, Australia, and Lecturer/Senior Lecturer at the University of Southern Queensland (USQ). His research interests focus on sustainable construction materials, particularly bio-cementitious materials, composite materials, timber engineering, reinforced concrete, and hybrid structures. Dr. Khennane has published extensively in these fields with 47 peer-reviewed journal papers, 33 conference papers, 6 other publications, and 2 books including the widely recognized "Introduction to Finite Element Analysis Using MATLAB (R) and Abaqus" (2013). His recent work emphasizes recycling timber waste into geopolymer cement composites, sustainable wood-geopolymer masonry units, and fire response of timber structures. His scholarly output shows a clear trend toward sustainable construction materials and advanced structural analysis techniques, with significant contributions in finite element modeling, seismic performance evaluation, and fire resistance of composite structures. The majority of his recent publications (2020-2024) focus on developing sustainable building materials using recycled components and analyzing structural behavior under various loading conditions. Dr. Khennane actively contributes to engineering education through teaching courses in Structural Analysis, Finite Element Method, Reinforced Concrete, and Stress/Strain Analysis. His educational background includes authoring textbooks that bridge theoretical concepts with practical computational tools like MATLAB and Abaqus.
Associate Professor David Lange serves as Deputy Director of Higher Degree by Research at the School of Civil Engineering , University of Queensland . With academic qualifications from the University of Edinburgh (PhD and MSc), he specializes in fire safety engineering and structural engineering , focusing on timber buildings, lithium-ion battery fire safety, and risk analysis techniques. Chartered Engineer (CPEng), Fellow of Engineers Australia (FIEAust) Registered Professional Engineer of Queensland (RPEQ) APEC Engineer and International Professional Engineer (IntPE) His research explores fire behavior in mass timber structures , vertical fire spread , and infrastructure resilience . Publications highlight his expertise in probabilistic modeling, fire dynamics, and structural response to extreme conditions. Recent collaborative studies examine flame spread in ventilated façades, compartment fire behavior, and risk evaluation frameworks. He actively supervises PhD projects in areas like fire safety of low-carbon concrete, diagrid structures, and physics-informed machine learning for fire modeling.
Steven Collins is a Professor of Practice in Civil Engineering at Aalto University , specializing in industrial wood construction. His work bridges scientific research and industry applications to enhance timber's role in sustainable structural engineering. Research Interests : Species-specific timber behavior (particularly birch), focusing on modeling, testing, and variance analysis. Non-destructive testing techniques like laser scattering, grain orientation analysis, and digital image correlation. Statistical and Bayesian approaches for probabilistic modeling of material properties and uncertainty quantification. Timber finger joint mechanics and wood processing techniques (e.g., densification, chemical treatment). Scientific Contributions : His recent publications (2022–2025) emphasize mechanical behavior of timber , predictive modeling , and innovative processing methods . Key trends include optimizing birch timber for structural applications, advancing Bayesian statistical models for wood mechanics, and improving non-destructive testing protocols using laser technologies and digital image correlation. Laboratory & Collaborations : Actively involved in experimental testing (destructive and non-destructive) and statistical analysis of wood properties. Collaborates with researchers like Gerhard Fink , Lauri Rautkari , and Farid Vafadar on timber mechanics and reliability studies. Part of the Structures – Structural Engineering, Mechanics and Computation research group at Aalto University.
Malgorzata Zboinska is an Associate Professor at Chalmers University of Technology within the Department of Architecture and Civil Engineering . She is a licensed architect and member of the Swedish Association of Architects and National Chamber of Architects of Poland . Hybrid architecture-technology-art research Focus on bio-based materials , digital fabrication , and creative robotics Development Leader of Chalmers' Robotic Fabrication Laboratory Editorial board member of TAD | Technology, Architecture + Design journal Research Themes bridge architecture , digital technology , and art , with expertise in: Sustainable and circular architectural practices 3D printing and robotic construction Material bioinnovation and upcycling Interactive and kinetic architectural solutions Her publications demonstrate strong output in digital fabrication , bio-material applications , and environmental architecture , with international exhibitions at Tempe Center for the Arts (USA) , Dutch Design Week (NL) , and Färgfabriken (Sweden) .
Yuxiang Chen is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta. His research focuses on high-performance buildings, net-zero energy systems, and sustainable construction practices. He integrates advanced modeling techniques, renewable energy solutions, and intelligent design strategies to optimize building performance in cold climates. PhD, Building Engineering (2013), Concordia University MASc, Building Engineering (2008), Concordia University BEng, Building Engineering (2006), Concordia University Dr. Chen’s work emphasizes modular construction, thermal energy storage, and data-driven modeling for building systems. He explores the use of robotics in construction, thermal resistance of masonry walls, and energy-efficient community greenhouses tailored for cold regions. His recent publications highlight trends in building thermal dynamics, with a focus on resistor-capacitor (RC) models, hybrid heating systems, and snow accumulation impacts on solar panels. He also contributes to cold-climate energy management and smart home integration.
Thomas Reynolds is a Senior Lecturer and Chancellor's Fellow in Civil Engineering at the University of Edinburgh School of Engineering. He holds an MEng in Engineering Science from Oxford (2005), PhD from Bath (2013), and PGCert in Teaching from Cambridge (2017). A Chartered Engineer and ICE member since 2010, his industry experience includes structural design for WYG and AKT on projects ranging from Swansea sea lock to Masdar Institute in Abu Dhabi. Research focuses on timber engineering innovation, structural health monitoring, and disaster-resilient construction. Current investigations include cyclone resilience of traditional housing in Madagascar, CLT connection robustness, and bicycle-based bridge monitoring techniques. Publications emphasize experimental mechanics of timber systems, climate impact modeling on structures, and sustainable construction technologies. Recent work explores novel materials applications and field measurement methodologies. He leads projects like 'Sustainable Improvement of Cyclone Resilience for Traditional Houses in Coastal Madagascar' (EPSRC) and 'EDACAB: Efficient Data Acquisition for Condition Assessment of Bridges'. Teaching covers structural mechanics, materials engineering, and design courses.
Mina Konaković Luković is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Massachusetts Institute of Technology (MIT) , affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL) . She leads the Algorithmic Design Group , focusing on computational design and fabrication, geometry processing, and robotics. Education: PhD in Computer Science (EPFL), MS & BS in Mathematics (University of Belgrade) Research Interests: Spanning computer graphics, computational fabrication, and 3D geometry processing with applications in smart materials, architectural geometry, and physics-based simulations. Her work integrates machine learning and differential geometry to optimize design algorithms for novel materials and deployable structures. Articles Trends: Recent publications emphasize multi-objective optimization for 3D printing materials, graph grammar in robot design, and computational methods for auxetic structures. Themes revolve around data-driven design, deployable shells, and terrain-adaptive robotics. Scientific Awards: Schmidt Science Fellows Additional Study Grant (2020) ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention (2020) Eurographics PhD Award (2020) Patrick Denantes Memorial Prize (2019) Doctoral Program Thesis Distinction from EDIC EPFL (2019) SIAM Early Career Prize (2020) Eurographics Junior Fellows (2021) Advising & Grants: Mentored by Prof. Dr. Wojciech Matusik and Prof. Dr. Mark Pauly, with funding from Swiss National Centre of Competence in Research (NCCR) Digital Fabrication. She actively participates in program committees and summer schools.
