Stefano Invernizzi is an Associate Professor at the Department of Structural, Geotechnical and Building Engineering (DISEG) of Politecnico di Torino. His expertise spans civil and structural engineering, focusing on fracture mechanics, finite element analysis, and numerical modeling of historical masonry and concrete structures. Teaches Statics and structural analysis courses at the Faculty of Architecture. Supervised numerous PhD and degree theses on masonry, concrete, and computational mechanics. Research emphasizes scale effects on material strength, fractal properties of structural materials, contact mechanics, and seismic vulnerability of historical buildings. He co-developed the sequentially linear saw-tooth softening model for robust analysis of reinforced concrete structures. Collaborated with Prof. Jan Rots on computational mechanics and contributed to projects like TOMORROW (additive manufacturing for building walls) and DURA_LAM (nano-materials for timber durability). His work aligns with SDGs 9 (Industry Innovation) and 11 (Sustainable Cities). He leads the Laboratorio di Meccanica della Frattura and has authored over 30 publications in journals like Engineering Fracture Mechanics and International Journal of Fracture . His research integrates statistical theories of strength with nonlinear numerical simulations for disordered materials.
Helleik Rosenvinge Syse is a PhD researcher at the University of Stavanger , affiliated with the Faculty of Science and Technology and the Department of Energy and Petroleum Technology . His work in the Future Energy Hub group focuses on integrating the human dimension into energy use in buildings , supervised by Associate Professor Homam Nikpey and Professor Emeritus Harald Røstvik. He previously studied at the University of Strathclyde and has held roles in startups like Gwing, NablaFlow, and bitUnitor. Academic journey: MSc in Renewable Energy Systems and the Environment (University of Strathclyde) Visiting scholar: University of New South Wales's Artificial Intelligence Institute (2023/24) His research spans techno-economic analysis of renewable energy systems and interdisciplinary exploration of human-engineering interactions . Recent work includes simulation studies of MyBox Energy Lab and data accessibility frameworks for smart city energy systems , emphasizing scalable solutions for urban sustainability. Scientific recognition includes: Nominated '30 under 30 ledestjerner' (Dagens Næringsliv, 2020) Awarded 'young energy talent' (Stavanger Chamber of Commerce, 2022) As an educator, he taught sustainability courses at BI Business School and actively participates in energy transition advocacy through Stavanger Chamber of Commerce groups. His multidisciplinary approach bridges technical systems analysis with behavioral science to address energy efficiency challenges.
Daniel Månsson is a Professor at the Department of Electrical Engineering, Royal Institute of Technology (KTH), specializing in smart electricity grids and power system components. His work spans electromagnetic compatibility (EMC) of large distributed systems, energy storage optimization, and privacy protection in smart metering. PhD in Engineering Physics (with specialization in Electromagnetism) Docent (Swedish Academic Title) in Electrical Engineering His research focuses on: Optimization of self-sufficient microgrids with energy hubs Smart meter privacy protection using energy storage EMC analysis of photovoltaic systems and UWB transients Hybrid energy storage system performance in renewable grids Recent publications indicate expertise in: Electromagnetic interference from solar PV systems Cyber-physical security in smart meters Conducted emission analysis Greenhouse gas reduction through optimized storage
Robb W Lindgren is a Professor at the University of Illinois at Urbana-Champaign with appointments in Curriculum and Instruction and Educational Psychology . He serves as Associate Dean for Research in the College of Education and holds affiliations with the National Center for Supercomputing Applications (NCSA) , Beckman Institute for Advanced Science and Technology , and Center for Social & Behavioral Science . His research focuses on Embodied learning through gesture and physical interaction Design of mixed/augmented reality educational systems Collaborative STEM education with immersive technologies Recent publications highlight his work in: Biochemistry simulations using haptic feedback (2024) VR-based spatial reasoning for astronomy education (2023) Metaverse learning environments with theory-driven design (2023) Climate change simulations with full-body tracking (2022) His research group explores how physical movement and gestural interfaces shape scientific understanding and conceptual change. Key collaborations include work with Jee Hyang Park , Jun Kang , and Thomas Kim , focusing on Gesture-mediated collaboration XR learning analytics Agency in embodied design
Jennifer R Mc Conville is a researcher at Chalmers University of Technology's Department of Urban Design and Planning. Her work focuses on sustainable sanitation systems, particularly in developing countries, with extensive research on wastewater management, community-based approaches, and resource recovery. Key affiliations: Formas-funded projects (2012–2020) Geographic focus: Bolivia, West Africa, Sweden Methodologies: Gamification, participatory planning, regime analysis Research interests include: Sanitation planning frameworks Decentralized wastewater systems Equity in urban-rural transitions Policy implementation barriers Recent publications analyze: Circular economy in sanitation Decision-support tools Community-managed infrastructure Role-playing in engineering education
Sandra Bellekom is a Lecturer-researcher at Hanze University of Applied Sciences, working within the Entrance – Center of Expertise Energy. Her work focuses on system integration in the energy transition, with particular expertise in renewable energy systems, solar power optimization, and smart grid technology. She contributes significantly to research projects related to sustainable energy solutions and environmental systems analysis. Education: Ph.D. in Electrical Engineering from Delft University of Technology (1993-1998) Master's degree in Energy and Environmental Sciences, cum laude, from University of Groningen (2002-2005) Basic Teaching Qualification (BKO) from University of Groningen (2010-2011) Master's degree in Electrical Engineering (ir), cum laude, from Delft University of Technology (1989-1993) Sandra Bellekom's research interests span the critical areas of energy transition and sustainable systems. Her work emphasizes practical applications of renewable energy technologies, particularly focusing on system integration challenges. She investigates how solar energy systems perform under real-world conditions, examining factors like panel contamination and cleaning effectiveness. Her research also extends to hydrogen energy systems, smart grid integration, and the economic optimization of renewable energy solutions. Through her work, she addresses key challenges in making the energy transition technically feasible and economically viable, with a strong focus on data-driven analysis and system modeling. Her recent publications (2019-2025) demonstrate a clear trend toward applied research in solar energy optimization and hydrogen systems. The research shows increasing focus on practical field studies examining how real-world factors like bird droppings, dust, and other contaminants affect solar panel performance. There's also a notable shift toward system-level analysis, particularly in hydrogen energy configuration and the integration of multiple renewable sources. Her work consistently bridges technical analysis with practical implementation considerations, making it highly relevant for industry applications. Sandra actively participates in multiple research projects including 'Effect of pollution and cleaning of solar parks,' 'Hydrogen Works,' and studies on sensible heat storage systems. Her collaborative approach is evident in her numerous co-authored publications across various energy domains. While specific mentoring relationships aren't detailed in the available information, her background includes supervising master's students during previous academic positions. Her research laboratory and team work primarily through the Entrance – Center of Expertise Energy, focusing on practical field studies and system modeling. Current projects involve monitoring solar parks across the Netherlands, developing hydrogen configuration tools, and optimizing energy storage solutions for buildings. The team employs a combination of field measurements, data analysis, and system modeling to address real-world energy challenges.
Dr. Elham Delzendeh is an Associate Professor and College Academic Lead for Employability at the College of Built Environment, Birmingham City University. She specializes in Digital Built Environment and Technological Design, with research emphasizing cutting-edge digital technology, building energy performance, occupant behavior, and Building Information Modelling (BIM). Her academic background includes a PhD in Architecture and Built Environment, an MSc and BSc in Architectural Engineering. PhD in Architecture and Built Environment MSc in Architectural Engineering BSc in Architectural Engineering Her research bridges practical and academic expertise in design and construction, focusing on occupant behavior analysis, energy-efficient building simulation, and Industry 4.0 technologies like digital twins. She has contributed extensively to energy performance modeling, occupant-driven systems, and sustainable urban interventions. Selected scientific awards include Fellow of the Higher Education Academy (FHEA) . She has supervised postgraduate research in digital built environments and occupant behavior, integrating real-world industry insights into her pedagogy.
Pieter Rauwoens is a Professor at the Department of Civil Engineering within the Faculty of Engineering Technology at KU Leuven. His work focuses on coastal engineering, hydraulics, and sustainable material applications, particularly in dune dynamics and nature-based coastal defense systems. He leads multiple long-term projects and serves as promotor for interdisciplinary research initiatives. Coastal & Ocean Basin (COB) wind tunnel system development Sustainable sand management for hybrid dune-dike systems Vegatation impact on coastal dune stability Supplementary cementitious materials from recycled aggregates His research integrates field monitoring, numerical simulations, and laboratory experiments to address coastal resilience challenges under climate change. Key methodologies include CFD modeling, sediment transport analysis, and material reactivity studies. Current research trends emphasize: Hybrid blue-grey coastal defense systems Mechanochemical activation of recycled materials Wave-structure interactions around monopiles Aeolian transport dynamics in vegetated dunes Sustainable sediment management Climate adaptation infrastructure
Dr. Darius Popovas is a researcher at the Institute for Applied Photogrammetry and Geoinformatics (IAPG), Jade University of Applied Sciences, Oldenburg, Germany. He is a member of the Laboratory for Optical 3D Metrology, contributing to advancements in photogrammetry and 3D scanning technologies since 2020. His research focuses on photogrammetry , 3D metrology , and virtual simulation , with specific interests in developing laser scanner simulators for digital twin environments, educational applications, and robotic missions. His work integrates computer vision, geomatics, and educational technology to create innovative simulation tools that bridge theoretical research with practical industrial and academic implementations. Between 2020 and 2024, Popovas co-authored six publications demonstrating a progression from foundational simulator development to applications in dynamic scanning and geodetic network planning for robots. This trajectory highlights increasing complexity in virtual scanning technologies, with recent work emphasizing real-time processing, sensor simulation, and integration into digital twin frameworks for industrial and educational contexts. He is a key contributor to the DAAD-funded project "Virtual laser scanner simulator for digitizing the teaching environment" (2019-2024), which develops software for generating simulated 3D point cloud data to enhance teaching methodologies in photogrammetry and geoinformatics through virtual laboratories and digital training resources. Within the IAPG, Popovas collaborates in the Laboratory for Optical 3D Metrology under Prof. Dr. Thomas Luhmann, working alongside a multidisciplinary team including Dr. Maria Chizhova and Dr. Denys Gorkovchuk. The laboratory actively organizes the Oldenburg 3D Days conference series, serving as a platform for disseminating research in optical metrology and fostering industry-academia partnerships.
Dr. Ayan Mukhopadhyay serves as a Senior Research Scientist in the Department of Electrical Engineering and Computer Science at Vanderbilt University's School of Engineering. Previously, he was a Post-Doctoral Research Fellow at Stanford Intelligent Systems Lab where he received the 2019 CARS post-doctoral fellowship. His academic journey includes a Ph.D. from Vanderbilt University's Computational Economics Research Lab with a doctoral thesis nominated for the Victor Lesser Distinguished Dissertation Award 2020. His research spans critical domains in smart infrastructure systems with particular focus on: Developing robust decision-making frameworks for cyber-physical systems under uncertainty Creating multi-agent solutions for emergency response optimization Designing machine learning approaches for urban mobility and energy management Building proactive incident detection pipelines using heterogeneous data sources Analysis of his recent publications reveals strong thematic continuity in applying artificial intelligence to real-world infrastructure challenges, particularly in transportation systems, emergency response, and energy management. His work consistently bridges theoretical AI advances with practical implementation in smart city contexts, demonstrating expertise in both algorithmic innovation and systems integration. Award highlights include: CARS Post-Doctoral Fellowship (2019) Best Paper Award at ICLR's AI for Social Good Workshop Victor Lesser Distinguished Dissertation Award Nomination (2020) Dr. Mukhopadhyay leads significant research initiatives through ScopeLab, focusing on creating deployable solutions for public transit, emergency response, and energy systems. His work on vehicle-to-building charging, traffic incident localization, and equitable transit network design demonstrates commitment to solving high-impact urban challenges through rigorous computational methods. Current projects involve developing simulation environments for non-stationary environments (NS-Gym) and explainable planning frameworks integrating formal logic with large language models.
Stephan Kessler is a researcher at the Technical University of Munich , affiliated with the Department of Mechanical Engineering and the Chair of Conveying Technology, Material Handling, and Logistics . His work focuses on construction logistics, digital twins, and IoT integration in building processes. Contact: stephan.kessler@tum.de Key research areas: Digital Twin, BIM, DEM simulations, IoT in construction Collaborates with Prof. Johannes Fottner on construction automation projects His research emphasizes digitalization of construction processes through technologies like RFID, machine learning, and simulation tools. Recent publications address tower crane planning, co-robot integration, and bulk material handling standards. Article trends show consistent focus on construction automation (IoT, digital twins, BIM), material flow optimization (DEM simulations, screw conveyor standards), and equipment lifecycle management (telematics, RFID identification). Kessler contributes to industry-university collaborations through projects like BauFlott (fleet management systems) and TEP (Tower Crane Deployment Planner). His work bridges theoretical research with practical implementations in construction site logistics.
Dr Abdul-Majeed Mahamadu is an Associate Professor in Innovative and Industrialised Construction at University College London (UCL) and a Cost Intelligence Consultant. A chartered surveyor (MRICS) and construction manager (MCIOB), he also holds a fellowship from the Higher Education Academy (HEA). His research focuses on applying digital technologies like Building Information Modelling (BIM), Virtual Reality (VR), and Artificial Intelligence (AI) to improve construction project efficiency and safety. He leads projects such as Safecrobot (VR safety training) and TIES Living Lab (AI cost data mining). PhD (BIM in Construction Supply Chains) MSc (Construction Project Management) BSc (Building Technology) His research spans BIM maturity , design for safety , digital twins , and immersive technology applications . Recent work includes VR-based hazard perception tools and AI-driven infrastructure cost optimization. He teaches modules in project management, modular construction, and digital delivery at UCL. His publications analyze BIM implementation challenges, immersive safety training, and sustainable design optimization, reflecting his commitment to advancing construction technology and safety standards.
Jakub Grela is a Lecturer at AGH University of Science and Technology, affiliated with the Department of Power Electronics and Automation of Energy Conversion Systems within the Faculty of Electrical Engineering, Automatics, Computer Science, and Biomedical Engineering. His work focuses on building automation systems, IoT applications in energy management, and renewable energy integration. Current faculty member at AGH University Specializes in energy efficiency and smart grid technologies Active in IoT-driven building automation research Research interests include hybrid energy storage systems, thermal modeling for heating optimization, and demand response solutions in smart grids. His publications emphasize practical implementations of IoT in consumer electronics and energy management systems. His recent work explores trends in transactive energy systems, human-centric building automation, and heat recovery simulations. Articles highlight case studies across university infrastructure, street lighting, and residential energy systems, demonstrating cross-disciplinary applications of IoT in energy efficiency.
Daniel G. Aliaga is an Associate Professor in the Department of Computer Science at Purdue University, part of the College of Science. His research focuses on urban computing, combining computer graphics, computer vision, and AI to develop tools for urban modeling and simulation. He leads the Computer Graphics and Visualization Laboratory (CGVLAB), pioneering work in inverse procedural modeling and generative AI for urban environments. Aliaga has a PhD from the University of North Carolina at Chapel Hill and has held visiting professorships at ETH Zurich and KAUST. Education: BS (Brown University), MS & PhD (UNC Chapel Hill) Research Areas: Urban Computing, Computer Graphics, AI, Robotics Notable Projects: WUDAPT initiative, urban weather modeling, 3D reconstruction techniques His work spans interdisciplinary collaborations with urban planners, meteorologists, and engineers. Over 150 peer-reviewed publications and $42M in grants highlight his impact. Awards include the Fulbright Scholar Award and Discovery Park Fellowship. Aliaga advises numerous PhD and undergraduate researchers, contributing to startups and patents.
Professor Grant Mills is the Faculty Lead for Health at University College London's Bartlett School of Sustainable Construction. His research focuses on advanced healthcare infrastructure delivery, interdisciplinary design, and project management, with funding from EPSRC, ESRC, NIHR, and international bodies. He leads initiatives like Project HERCULES and explores topics such as digital twins, BIM adoption, and modular healthcare design. Education: PhD from Loughborough University (2013), Master of Science from De Montfort University (2001). Previous roles include Senior Lecturer and Lecturer at UCL, and Senior Research Associate at Loughborough University. Research Interests: Healthcare infrastructure innovation, sustainable construction, BIM implementation challenges, modular design, and governance frameworks for large projects. His work addresses healthcare facility adaptability, AI integration in emergency departments, and post-pandemic healthcare systems. Grants & Funding: Department of Health, European Investment Bank, WHO, and EPSRC grants. Active in megaproject collaborations and strategic asset management for NHS infrastructure. Lab/Teams: Leads Bartlett Health-related research groups, collaborating with global institutions on healthcare infrastructure projects and digital twin applications.
