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Toni Rantanen is a Doctoral Researcher at Aalto University in the College of Built Environment. His work focuses on integrating geospatial data with game engine technologies for advanced 3D visualization and analysis of urban environments. Specializes in digital twin applications Active in urban sustainability research Collaborates with the MeMo research group Research Interests Geospatial Data Integration : Developing frameworks for open data standards in urban digital twins 3D Visualization : Creating immersive virtual environments for watershed analysis and lighting simulations Environmental Analysis : Using game engines for change detection and urban park evaluation Interactive Mapping : Designing user-friendly geospatial tools Reality Modeling : Capturing built environment changes through multitemporal data Recent publications demonstrate expertise in urban digital twin development , 3D geovisualization , and game engine applications for environmental research. Collaborative work spans multiple disciplines including urban planning , GIS technology , and virtual reality evaluation .

• Geospatial Data
• Urban Planning
• 3D Visualization
• +2 more

Olli Seppänen serves as Associate Professor in Civil Engineering at Aalto University's School of Engineering, specializing in operations management for construction productivity improvement. He coordinates the Vision 2030 consortium—comprising 13 Finnish construction and design firms—to develop industrialized building methods for 2030, while leading multiple Business Finland-funded research initiatives focused on digital construction workflows and real-time monitoring. His research centers on lean construction principles, location-based management systems, and digital transformation through IoT, AI, and robotic vision. Key focus areas include prefabrication optimization, construction logistics, and shifting work off-site to industrialize processes. He aims to solve industry-wide productivity challenges by creating real-time situational awareness and implementing takt production systems for workflow stability. Recent publications (2024-2025) reveal strong emphasis on digital twin frameworks, semantic modeling for quality assurance, and AI applications in risk management. His work bridges theoretical lean construction concepts with practical implementations, particularly in real-time resource tracking, waste reduction in MEP work, and cross-sector learning from high-performing teams. Seppänen has received significant recognition including: School of Engineering doctoral dissertation award (2024) Best paper at IEEE Wireless Sensors Conference (2019) Nordic Conference best paper award for PhD research (2019) DSc dissertation award (2010) As principal investigator, he manages: Vision 2030 consortium projects (2-3 annually; PI for two current projects) iCONS: Real-time resource flow monitoring via indoor positioning RECAP: Deep learning analysis of progress/quality from images/point clouds DiCtion: Integrated data systems for real-time stakeholder situation pictures He actively contributes to the "Performance in Building Design and Construction" research group and leverages the Vision 2030 consortium as a collaborative platform for industry transformation, driving adoption of digitalized, industrialized construction methods through academic-industry partnerships.

• Lean Construction
• Real-time Production Control
• Location Based Management Systems
• +7 more

Hannu Hyyppä is a Research Director and Project Employee at Aalto University's Department of Built Environment, affiliated with the MeMo research group. He leads the Research Institute of Measuring and Modelling for the Built Environment, focusing on advanced laser scanning, 3D modeling, and geoinformatics. His work spans interdisciplinary collaborations across engineering, geography, and arts, with a strong emphasis on applications in cultural heritage preservation, urban planning, and environmental monitoring. Education: Doctoral degree (D.Sc.) in Engineering and Technology, Helsinki University of Technology (2000) Licentiate degree in Engineering and Technology, Helsinki University of Technology (1989) Master's degree in Engineering and Technology, Helsinki University of Technology (1986) Research Interests: Laser scanning technologies, point cloud utilization in forestry and urban mapping, virtual reality for cultural heritage, and sustainable infrastructure modeling. His expertise includes photogrammetry, geographic information systems (GIS), and decision support systems for environmental management. Recent Contributions: Over 550 publications and 30+ active projects, including the Centre of Excellence in Laser Scanning Research (2014-2019) and the Pointcloud project (2015-2021). His work advances applications in autonomous road inspection, 3D cultural reconstructions, and smart city technologies. Awards: Recipient of the 2019 Kansallinen avoimen tieteen palkinto for innovative open science contributions. Grants & Leadership: Principal Investigator for projects like DICA (Digital Cultural Heritage) and ToToRo (Automatic Road Inspection). Active in organizing workshops and international conferences on 3D technologies and laser scanning. Labs/Teams: Oversees the MeMo group and collaborates with national organizations like the Finnish Geospatial Research Institute. Develops tools for real-time 3D mapping and virtual environments.

• Laser Scanning
• 3D Modeling
• Geoinformatics
• +5 more

Juhani Ukko is a Full Professor (tenured) at the Lappeenranta-Lahti University of Technology (LUT), affiliated with the LUT School of Engineering Sciences and the Industrial Engineering and Management (IEM) department. His research focuses on digital transformation, sustainability strategies, and performance measurement systems in SMEs, with particular emphasis on Industry 4.0/5.0 technologies, smart manufacturing, and supply chain governance. He has extensively studied the interplay between digital innovation, environmental impact, and organizational renewal. Key research themes include digital twin applications in business ecosystems, IoT-driven social sustainability, and leveraging performance measurement frameworks to enhance sustainability performance. His work frequently addresses SME challenges in adopting smart technologies, overcoming institutional barriers, and achieving financial and environmental sustainability. Recent publications (2024–2025) highlight trends in digital business ecosystems, hybrid work environments, and the role of certification in total quality management. Notable contributions include studies on co-creation mechanisms in digital service supply chains, the impact of leadership on organizational performance, and the strategic use of real-time simulation for sustainable production. Dr. Ukko’s research bridges theoretical frameworks with practical applications, often collaborating with industry partners. His CV and Google Scholar profile are publicly available for detailed insights into his academic contributions and collaborative projects.

• Sustainability Management
• Digital Transformation
• Performance Measurement Systems
• +3 more

Professor Satu Huuhka leads Tampere University's efforts in sustainable renovation and circular economy transition in construction. As the inaugural Professor of Sustainable Renovation (appointed 2024), she heads the multidisciplinary ReCET research group, focusing on decarbonizing the built environment through building reuse. Her work demonstrates that renovating existing structures reduces carbon emissions more effectively than new construction, challenging industry norms. Education: MSc Architecture (2010), PhD (2016), both from Tampere University of Technology. Prior roles include Adjunct Professor (2018), Senior Research Fellow (2019–2021), and leadership in the EU-funded ReCreate project (2021–present). Recognized with the 2023 TunnustusPAANU Award and 2024 Order of the Lion of Finland medal. Research emphasizes deconstruction of precast concrete, policy frameworks for circularity, and adaptive reuse strategies. Current projects include ReCreate's pilot deconstruction of Tampere office buildings and analysis of material flows in urban environments. Collaboration with firms like Skanska drives industry adoption of reuse practices. Teaching involves training next-generation researchers through doctoral supervision and interdisciplinary teamwork. Personal passion for restoration extends to home renovations and kintsugi-inspired ceramics repair, reflecting her professional commitment to preserving and revitalizing existing structures.

• Sustainable Renovation
• Circular Economy in Construction
• Building Stock Analysis
• +3 more

Inshu Chauhan is a Doctoral Researcher at Aalto University's Department of Civil Engineering . Her research focuses on advancing construction processes through digital twin technology , agent-based simulation , and computer vision applications . She is actively involved in international research collaborations and workshops, including contributions to the 31st Annual IGLC Conference and the International Workshop on Intelligent Computing in Engineering . Primary Email: inshu.chauhan@aalto.fi Phone: +358505763371 Her recent work explores: Dynamic mapping of construction sites using SPOT satellite data Agent-based simulation for workflow optimization Automatic coordination systems for construction actors Indoor progress monitoring challenges Computer vision for waste inventory management

• Digital Twin Technology
• Construction Process Optimization
• Building Design and Construction
• +3 more

Seppo Törmä is a Senior Lecturer and Principal Lecturer at Metropolia University of Applied Sciences, specializing in computing and construction. He holds a D.Sc (Tech) in Computer Science and Engineering from Helsinki University of Technology (1997), an M.Sc (Tech) in Electrical Engineering (1988), and a Teacher's pedagogical qualification (AmO) from Haaga-Helia (2022). As the Head of the International Master's Programme in Computing in Construction, he focuses on advancing digitalization in construction through innovative methodologies. His competences include Artificial Intelligence, BIM Collaboration, Decentralized systems, Digital Twin, Information visualization, Interoperability, IoT, Knowledge graphs, Linked Data, Ontologies, Semantic Web, and Sustainable built environment. He leads projects such as RADIAL (digital models for construction), Digipurku (digital solutions for deconstruction), and HereUkraine! (educational support for rebuilding efforts). His research emphasizes semantic interoperability, ontology-based systems, and sustainable construction practices. Notable projects include developing the DRUMBEAT platform for federated building models and exploring peer-to-peer networks for linked building data. His work bridges information technology with construction workflows to enhance efficiency and sustainability. He has no listed scientific awards but has contributed to over 70 publications since 1988, focusing on BIM, Linked Data, and construction digitalization. His advising and grants are not explicitly detailed, but his leadership in academic and applied projects underscores his commitment to advancing the field. He is part of the Sustainable Development in Real Estate Team at Metropolia.

• Artificial Intelligence
• BIM Collaboration
• Decentralized systems
• +9 more

Christopher Görsch is a Visiting Professor at Aalto University’s Department of Civil Engineering, focusing on construction workflows, productivity, and situational awareness. He holds a PhD in Construction Engineering (2024) and a Master’s in Engineering from Bauhaus-Universität Weimar (2016). His research emphasizes reducing waste in construction, improving worker efficiency, and integrating digital tools like digital twins and AI into workflows. Key projects include the ACTOR initiative for automated coordination of construction actors and studies on self-managed teams. Görsch has received the Greg Howell Best Paper Award (2022) and a Research Visit Grant to Swinburne University (2020). His work spans academic qualifications, including a doctoral thesis on task planning in construction. Research interests highlight interdisciplinary approaches combining technology (e.g., IoT, AI) with human factors, such as worker demands and situational awareness. Collaborations include teams analyzing workflow interruptions and sustainability in BIM systems. Press coverage highlights his findings on productivity losses in construction work. Education: PhD in Construction Engineering (Aalto U., 2024), M.Sc. Engineering (Bauhaus U., 2016) Key Projects: ACTOR Project, Building 2030 Digital Twin Initiative Grants/Awards: Greg Howell Award, Australia Research Visit Grant Press Highlights: Revealed up to 80% of construction work as non-productive (2024) Recent articles emphasize automation (e.g., Choosing by Advantages algorithms) and digital tools to enhance decision-making. His datasets, such as Time-Motion Data of Construction Work, support quantitative analyses of workflow interruptions. Görsch’s lab activities include cross-disciplinary teams addressing managerial adoption of digital systems and worker empowerment strategies.

• Construction Management
• Worker Productivity
• Situational Awareness in Construction
• +3 more

Eelon Mikael Lappalainen serves as a Postdoctoral Researcher within the Department of Civil Engineering at Aalto University's School of Engineering, actively contributing to the Performance in Building Design and Construction research group. His work bridges theoretical frameworks with practical applications in construction project delivery, emphasizing process optimization and digital innovation in the built environment sector. His research spans lean construction methodologies, situational awareness systems, and digital transformation in infrastructure projects, with specific focus areas including Last Planner System implementation, Takt Time production, BIM-based visualization, and decision-making dynamics in building design. He investigates how digital tools enhance work flow management, address design complexity, and empower self-managed construction teams while examining challenges faced by small and medium enterprises in alliance contracting environments. Analysis of his 2024-2025 publications reveals consistent exploration of situational awareness systems across infrastructure projects, with emerging trends in batch sizing for design workflows, real-time visual management, and cognitive aspects of construction decision-making. His work demonstrates strong interdisciplinary collaboration, frequently co-authored with Finnish researchers like Olli Seppänen and Petri Uusitalo, and targets high-impact venues including IGLC conferences and journals such as Buildings and Frontiers in Built Environment. Dr. Lappalainen's scholarly contributions appear primarily in proceedings of the International Group for Lean Construction (IGLC) conferences and peer-reviewed journals focused on construction innovation, with notable publications examining digital situational awareness adoption barriers, empowerment challenges in self-managed teams, and SME competitiveness in alliance contracts. His research methodology combines case studies, user experience analysis, and theoretical framework application to practical construction scenarios. He maintains active involvement in the Performance in Building Design and Construction research group, which focuses on developing and testing performance-enhancing strategies through lean principles, digital tools, and collaborative design approaches. The group's work addresses critical industry challenges including work complexity navigation, real-time project monitoring, and technology adoption in infrastructure construction contexts.

• Construction Management
• Lean Construction
• Building Information Modeling (BIM)
• +3 more

Professor Fernando Nieto is a Full Professor of Architecture at Tampere University, leading the SPREAD research group. He specializes in bridging architectural practice and academia through digital tools for sustainable urban design. His work focuses on community-based green transitions, loneliness in the built environment, and architectural pedagogy. Education: PhD in Advanced Architectural Design (Madrid School of Architecture, 2014). Postdoctoral research at Aalto University (2014–2018). Tenure track completion at Tampere School of Architecture in 2022. Research Interests: Sustainable design strategies, digitalization in architecture, social isolation mitigation through built environments, and architectural education reforms. He co-authored the 2021 book on loneliness and architecture, honored with a COAM Award. Current Projects: Coordinates the Visualising Our Future Public Realm (VOF) project (2023–2025), funded by Business Finland. Collaborates with firms like MUUAN Architects and SmartViz to develop multiscale digital tools for architectural offices. Grants & Partnerships: European Union Recovery and Resilience Facility (RRF), collaboration with Aalto University, Royal College of Art, and multiple Finnish architectural firms. Labs/Teams: SPREAD group at Tampere University, focusing on design-research hybrid models and cross-sectoral partnerships.

• Sustainable Architecture
• Digital Design Tools
• Green Transition in Urban Planning
• +3 more

Osku Torro is a Postdoctoral Research Fellow at Tampere University's Faculty of Built Environment, specializing in Civil Engineering. His research explores the organizational adoption of virtual reality (VR) and avatar-based interactions, with a focus on social VR applications for team collaboration and cohesion. Current affiliation: Tampere University Academic rank: Research Fellow Research Focus: Torro investigates how VR transforms workplace dynamics, particularly in social exchange and communication. His work bridges information systems science with practical applications in knowledge management and digitalization. Primary areas: VR in organizations, social interaction in immersive environments Secondary areas: Generative AI, IFC/GS1 standards, digital twins in building systems Article Trends: Recent publications highlight VR's role in collaboration platforms, digitalization challenges in real estate, and AI-driven data enrichment in building systems. Topics span from technical implementations (e.g., IFC/GS1) to behavioral studies (e.g., team cohesion in VR).

• Information systems science
• Knowledge management
• Virtual Reality
• +6 more

Antti Kolu is a Doctoral Researcher in the Faculty of Engineering and Natural Sciences, focusing on automation and robotics in construction machinery. He holds a Master of Science (Technology) in Automation Engineering (2010). His research integrates machine learning, sensor data, and BIM technology to enhance productivity and safety in construction and railway maintenance operations. Key interests include excavator cycle analysis, real-time terrain mapping, and semi-autonomous machinery control. Education: Master of Science (Technology), Automation Engineering (2010) Research emphasizes practical applications of robotics in construction, such as improving excavator productivity through supervised learning and inertial measurement units (IMUs). Collaborations span international projects on railway inspection tools and autonomous bulldozer systems. He received the Best Paper Award for Robotics Application in 2016 for work on vision-guided autonomous forklifts. Active in media engagement, he discussed advancements in augmented reality applications in 2013. Grants/Awards: Best Paper Award (2016) Leverages interdisciplinary approaches combining mechanical engineering, data science, and BIM to address real-world challenges in heavy machinery automation.

• Construction Robotics
• Automation Engineering
• Machine Learning
• +3 more

Opeyemi Michael Ajayi is a Researcher at Aalto University's School of Built Environment, focusing on interdisciplinary research in land management, land policy, and blockchain technology applications. His work bridges technical and socio-legal dimensions, particularly in developing contexts. Research interests include optimizing land administration systems through technology integration, coal energy utilization, and socio-economic challenges in waste management. He has contributed to studies on Nigerian infrastructure development via Building Information Modelling (BIM). Recent publications highlight coal quality analysis for energy recovery, FELA-driven technology policies, and waste management strategies in developing nations. His collaborative research groups include Real Estate and Doctoral Researcher initiatives at Aalto University.

• Land management
• Land administration
• Land law
• +2 more

Hisham Abou Ibrahim is a Visiting Professor in the Department of Civil Engineering at Aalto University's School of Engineering. His role as a Visitor (Faculty) involves active research in construction engineering and management, with a focus on digital technologies. Hisham Abou Ibrahim's research focuses on the intersection of digital technologies and construction management. Key areas include: Digital Twin for construction Building Information Modeling (BIM) Lean Construction principles Workflow analysis and optimization Situational awareness in construction operations Automatic decision-making systems His work aims to enhance construction processes through real-time monitoring and data-driven insights. Recent publications (2023-2025) demonstrate a strong trend in applying digital twin frameworks to construction management. His work integrates semantic technologies for workflow monitoring and explores visual BIM-based approaches for design collaboration. A notable focus is on optimizing design batch sizes and enabling automatic decision-making through situational awareness. Abou Ibrahim is currently involved in the R2B_BIMSpect project (2024-2026) at Aalto University, which investigates BIM and digital twin applications in construction. As a project member, he collaborates with Principal Investigator O. Seppänen and a team of researchers to develop frameworks for construction workflow monitoring. He is part of the Performance in Building Design and Construction research group, contributing to interdisciplinary efforts that integrate civil engineering with digital innovation.

• Digital Twin
• Building Information Modeling
• Construction Management
• +4 more

Heikki Ihasalo is a Professor at Aalto University's Department of Electrical Engineering and Automation, specializing in smart building technologies and energy systems. He leads research in the Smart Building Technologies and Services group, focusing on HVAC optimization, IoT applications, and sustainable building solutions. His work bridges electrical engineering, environmental systems, and user-centric design. Research interests include energy efficiency in buildings, smart HVAC control using machine learning, retrofitting strategies for legacy structures, and integrating IoT into construction. He has pioneered tools for building performance monitoring, emphasizing practical implementation challenges. Key contributions span 2004–2024, with recent emphasis on reinforcement learning for HVAC systems and district heating demand response. His 2022 studies on IAQ sensors in older buildings and smart office solutions highlight user experience and environmental adaptation. He has collaborated on EU-funded projects and industry partnerships, though specific grants are not detailed. No formal advisees are listed, but co-authorships suggest collaborative research networks. Labs/Teams: Active in Aalto's Smart Building Technologies and Services group, focusing on applied research in building automation and energy systems.

• Smart Building Technologies
• Energy Efficiency
• Heating, Ventilation and Air Conditioning (HVAC) Systems
• +3 more