جستجوی استاد راهنمای دانشگاهی

Mohamed Noureldin is an Assistant Professor at the Department of Civil Engineering, Aalto University , Finland, with prior academic roles at Sungkyunkwan University, South Korea (2015–2022). His expertise lies in integrating Artificial Intelligence (AI) with Structural Health Monitoring (SHM) , Structural Digital Twin , Predictive Maintenance , and Seismic Retrofitting . Research Focus : AI-powered sustainable structural design, smart retrofitting, predictive maintenance, structural material innovation, and next-generation performance-based seismic/wind design. Industrial Experience : 20+ years in offshore/onshore structural engineering (Hyundai Heavy Industries, Samsung Engineering, Arab-Swiss Engineering Company, Zuhair Fayez Partnership). Teaching : Courses in structural analysis, seismic design, dynamics, and reinforced concrete at Aalto and Sungkyunkwan Universities. Laboratory : Leads the Structural Design AI Lab (SDAI), focusing on AI-driven resilient infrastructure. Contact : mohamed.noureldin@aalto.fi , +358504544861. His publications explore cutting-edge applications of AI, ML, and DL in seismic retrofitting, structural durability, soil stabilization, and hybrid damping systems. Collaborative work emphasizes life-cycle cost assessment and augmented reality for predictive maintenance.

• Structural Engineering
• Artificial Intelligence in Civil Engineering
• Structural Health Monitoring
• +۵ مورد دیگر

Petra Hietanen-Kunwald serves as a Senior University Lecturer in the Department of Accounting at Aalto University. Her academic profile centers on dispute resolution systems, legal innovation, and the intersection of contract design with civil justice frameworks. Her research spans: Dispute Resolution and Mediation Proactive Contract Design Tax and Cross-Border Dispute Systems Legal Design and Digital Transformation Civil-Commercial Law Integration She investigates how ethical infrastructure and systems theory can optimize conflict management while maintaining procedural fairness. Analysis of her publication trajectory reveals escalating focus on digital dispute resolution (2020-2023), where she pioneers frameworks for AI-driven mediation and transaction design. Earlier works (2013-2019) established foundational critiques of mediation's legal status and explored Finnish civil justice reforms, demonstrating consistent commitment to elevating alternative dispute resolution within legal ecosystems. Key recognitions include: Developer in Education of the Year 2023 2021 JSCAN Best Paper Award for "Effective dispute prevention and resolution through proactive contract design" While specific grant details remain undisclosed, her collaborative publications with Helena Haapio, Maria Solarte-Vasquez, and Risto Koulu indicate robust international research partnerships. Her work directly informs European mediation policy and Finnish legal education curricula.

• Dispute Resolution
• Mediation
• Contract Law
• +۵ مورد دیگر

Xiaoshu Lu serves as an Adjunct Professor in the Department of Civil Engineering at Aalto University's School of Engineering, Finland. His primary contact is xiaoshu.lu@aalto.fi with phone number +358503503021, and his research profile is accessible via Aalto University's research portal. His research spans CO2 sequestration, rock mechanics, and sustainable construction, with emphasis on enhanced rock weathering for carbon capture, diamond bit fragmentation mechanisms, and biomass-to-energy systems. Interdisciplinary work includes agricultural engineering applications in plant disease detection and transportation engineering for traffic flow forecasting using graph neural networks. Recent publications (2024-2025) reveal dominant themes in geological CO2 storage and rock mechanics, featuring experimental studies and comprehensive reviews. While most work focuses on environmental/geotechnical civil engineering, select publications demonstrate cross-disciplinary reach into computer vision and transportation systems. Key accolades include: Napier Shaw Bronze medal (2006) Best 2012 Research Paper Competition from Aalto University School of Engineering (2013) Second prize in China's Innovation and Entrepreneurship Competition for Overseas Talents (2017) Honourable Tang Aoqing Professorship at Jilin University, China (2013-present) No details regarding graduate student supervision or research grants appear in the source material. He contributes to the 'Performance in Building Design and Construction' research group at Aalto University.

• CO2 Sequestration
• Rock Mechanics
• Geotechnical Engineering
• +۳ مورد دیگر

Aimad el Issaoui is a Doctoral Researcher at Aalto University's T213 Built Environment unit, specializing in geoinformatics and laser scanning technologies. His work focuses on integrating advanced sensing systems with deep learning applications for infrastructure and environmental monitoring. His research spans multiple domains: Infrastructure Analysis : Pavement distress detection, road rut measurement using mobile/terrestrial laser scanning Environmental Monitoring : Forest health assessment, UAV-based canopy mapping, tree water stress analysis 3D Mapping : Semantic point cloud segmentation, ALS/MLS integration, indoor scanning methodologies The publications reveal a consistent focus on improving accuracy and efficiency in spatial data processing across civil engineering and ecological contexts. He has contributed to advancements in: Real-time localization systems Deep learning approaches for point cloud analysis Multiscale forest observation techniques 3D indoor/outdoor environment modeling

• Geoinformatics
• Remote Sensing
• Photogrammetry
• +۵ مورد دیگر

Khurram Shabbir is a Researcher and Doctoral Student at Aalto University's School of Engineering , affiliated with the Department of Civil Engineering and the Structures – Structural Engineering, Mechanics and Computation group. His research focuses on integrating artificial intelligence and advanced computational methods into structural engineering, particularly in seismic assessment, disaster management, and infrastructure safety. He has contributed to projects involving data-driven modeling for building retrofitting and UAV-based intelligent mobility solutions. Key research interests include: Seismic performance evaluation using machine learning AI applications in structural design and safety Disaster management through early warning systems Accelerated bridge construction techniques His recent publications emphasize interdisciplinary approaches combining civil engineering principles with computer science and statistics. Notably, he has explored neural radiance fields for structural analysis and bootstrap methods for prediction intervals in building performance.

• Structural Engineering
• Seismic Safety
• Artificial Intelligence
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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
• +۶ مورد دیگر

Vahid Arabzadeh is a Researcher affiliated with the Department of Built Environment at Aalto University. He holds a Master of Science in Chemical Technology (Process System Engineering) from Aalto University (2016) and a Doctorate (Tekn. toht., teknillinen fysiikka) in 2021. His research focuses on renewable energy systems, urban energy planning, wind power integration, and heat demand management, with a strong emphasis on Sustainable Development Goals. Key research interests include energy system modeling, large-scale renewable integration, decarbonization strategies, and sector-coupling flexibility. His work bridges technical innovation with policy implications, particularly in cold-climate urban settings like Helsinki. Recent projects explore vertical farming powered by wind energy, hybrid renewable forecasting, and sea ice monitoring via satellite data. Publications highlight interdisciplinary approaches combining physical modeling with data-driven techniques. Collaborations span climate policy analysis, energy infrastructure optimization, and AI-driven cost estimation in civil engineering. His research has been cited in policy documents and referenced in Wikipedia/Wikidata entries, demonstrating real-world impact.

• Energy Systems
• Renewable Energy
• Urban Energy Systems
• +۳ مورد دیگر

Fahim Al-Neshawy is a Staff Scientist at Aalto University's Department of Civil Engineering and Mineral-Based Materials and Mechanics research group. He holds a Doctoral degree in Engineering from Aalto University (2013), a Licentiate from Helsinki University of Technology (2007), and a Master's (1996). His research focuses on concrete durability, non-destructive testing (NDT) methods for nuclear infrastructure, and sustainable construction materials. Key areas include freeze-thaw resistance, carbonation effects, and AI-driven durability assessment. He has contributed to major projects like CONAGE (ageing management of nuclear power plant concrete) and WANDA (non-destructive examination of NPP components). Al-Neshawy has published over 88 peer-reviewed works, including studies on 3D-printed concrete analysis, low-carbon concrete formulations, and corrosion mechanisms in anoxic environments. His work integrates advanced techniques like X-CT scanning and generative adversarial networks. He received the Oskari Vilamo Dissertation Prize (2014) and has actively participated in international conferences, hosting visiting researchers and organizing NDE workshops. His research bridges civil engineering with nuclear safety, environmental sustainability, and digital innovation in construction materials.

• Concrete Engineering
• Non-Destructive Testing
• Structural Integrity
• +۳ مورد دیگر

Tuija Laakso is a Researcher in the Department of Built Environment at Aalto University's School of Engineering, affiliated with the Water and Environmental Engineering research group. Her work focuses on sustainable infrastructure management for urban water systems. Her research spans Water and Environmental Engineering with specialized expertise in Wastewater Networks, Sewer Networks, and Decision Support Systems. She develops data-driven methodologies for asset management, including failure prediction models, lifecycle analysis of water infrastructure, and optimization of maintenance strategies. Her interdisciplinary approach integrates civil engineering principles with computational analytics to enhance resilience in aging sewer systems. Analysis of her 2017-2022 publications reveals consistent innovation in applying AI and statistical modeling to water infrastructure challenges. Key themes include sewer lifespan prediction, inflow/infiltration analysis in sanitary sewers, and consequence assessment of pipe failures. Her work demonstrates increasing integration of machine learning techniques with traditional engineering practices to address sustainability challenges in Nordic water systems. Dr. Laakso actively contributes to the Water and Environmental Engineering research group, which specializes in developing advanced solutions for water infrastructure management. The group employs interdisciplinary approaches combining engineering, data science, and environmental analysis to create decision-support frameworks for municipal water utilities and infrastructure planners.

• Water and Environmental Engineering
• Wastewater Networks
• Sewer Networks
• +۳ مورد دیگر

Antti Peltokorpi is an Associate Professor at Aalto University's School of Engineering , Department of Civil Engineering. His work bridges digital transformation and traditional construction practices, focusing on systemic innovation. Specializes in Construction Management, Lean Construction, and Takt Production Pioneer in AI and Generative AI applications for construction workflows Researches Prefabrication, BIM, and Situational Awareness Systems Advocates for improved logistics and productivity in complex projects Recent research trends span AI's role in risk management, takt production's impact on construction flow, prefabrication evaluation methods, and systemic transformation through Complex Adaptive Systems. His studies examine power dynamics in logistics, waste reduction in MEP systems, and cross-industry team collaboration. Contact: antti.peltokorpi@aalto.fi

• Construction Management
• Digital Transformation
• Lean Construction
• +۱۲ مورد دیگر

Leena Korkiala-Tanttu is a Professor in Geotechnical Engineering at Aalto University School of Engineering's Department of Civil Engineering. Her research focuses on geotechnics of infrastructure, including superstructures, foundations, ground improvements, and life cycle analysis of pavements. Doctor of Science in Technology (2009) with dissertation on rutting of low-volume roads Involved in EU projects ALTMAT and ECRPD, COST actions 347 and 354 Collaborates with Posiva OY and KYT-programme on nuclear waste disposal Research Themes: Automation of ground improvements (POHVA1), circular economy in earthworks, and recycled material applications. Scientific awards include the Road Association Silver Badge of Merit with Gold Leaf (2023), GEOTeko Recognition Award (2023), and the 2018 Civil Engineer of the Year by RIL. Recent Publications: 15 articles (2024-2025) cover low-carbon binders, AI-driven shear strength analysis, seabed stabilization, and biochar applications. These works emphasize sustainable geotechnical solutions and material innovation. Major Awards: Road Association Silver Badge of Merit with Gold Leaf (2023) GEOTeko Recognition Award (2023) Little Fool Prize (2022) RIL Civil Engineer of the Year (2018) Supervisory Roles: Guided Monica Löfman (2017) and Jaana Vinter (2016) to thesis awards. Active in the Mineral Based Materials and Mechanics research group.

• Life Cycle Analysis
• Nuclear Waste Disposal
• Geotechnical Engineering
• +۶ مورد دیگر

Suvi Ahopelto is a Researcher (Doctoral Student) affiliated with the School of Engineering at Aalto University. Her research focuses on water management, infrastructure systems, and the application of AI techniques to environmental challenges. She holds a Master's degree in Engineering and Technology from Aalto University (2014), alongside earlier qualifications in civil engineering and urban technology. Education: Dipl.ins., rakennustekniikka, yhdyskuntatekniikka (June 2014) Master's degree in Engineering and Technology, Aalto University (May 2014) Tekn. kand., rakennustekniikka, yhdyskuntatekniikka (August 2012) Research Interests: Her work addresses sustainable water systems, including water loss reduction, AI-driven infrastructure analysis, and failure mode assessment in water distribution networks. She contributes to UN Sustainable Development Goals related to clean water and environmental sustainability through studies on leakage management and resource efficiency. Key Research Trends: Recent work emphasizes data-driven approaches for optimizing water networks, applying machine learning to infiltration analysis, and developing universal metrics for water loss. She also explores cost-benefit frameworks for infrastructure resilience improvements. Professional Activities: Presented at international conferences including WDSA-CCWI 2022 and water efficiency forums. Her research has been widely accessed (e.g., 124 readers on Mendeley for the 2020 leakage study) and referenced in policy sources.

• Water Management
• Environmental Engineering
• Infrastructure Systems
• +۳ مورد دیگر

Wei Lu is a Senior Lecturer in the Department of Civil Engineering at Aalto University. His research focuses on structural engineering, particularly steel structures, fire resistance, and high-strength steel applications. He holds a Doctoral degree (2003) and Licentiate degree (2000) in Engineering and Technology from Helsinki University of Technology. His work contributes to UN Sustainable Development Goals related to sustainable infrastructure and education. Recent research includes studies on cold-formed tubular members, fire scenarios in composite beams, and corrugated steel arches. He actively participates in academic activities, including a 2024 conference committee role. Key research areas include steel joints, fire dynamics, and structural design optimization. Media highlights include findings on K-type HSS joints and steel beams under fire conditions. Advising and grants are noted through supervised theses, though specific grant details are not provided. His lab focuses on advanced structural analysis, leveraging computational tools like FEA for fire and material performance studies.

• Structural Engineering
• Steel Structures
• Fire Resistance of Materials
• +۵ مورد دیگر

Roope Nyqvist is a Doctoral Researcher at the Department of Civil Engineering, School of Engineering, focusing on construction management and digital transformation. His work intersects artificial intelligence, risk management, and network modeling in infrastructure projects. Education: M.Sc. in Construction and Real Estate Management (HTW Berlin, 2018), B.Sc. in Construction Management (Metropolia UAS, 2015) Research interests include: Digital transformation of construction processes AI-driven risk management systems Network modeling for uncertainty analysis Situational awareness in infrastructure projects Decision-making under complexity Recent publications examine generative AI's potential in construction risk management, situational awareness frameworks, and uncertainty modeling. His work aligns with SDG 9 (Industry Innovation) and SDG 11 (Sustainable Cities). Projects include AIXCon (2022–2024), a data-driven construction transformation initiative funded by the EU Recovery and Resilience Facility. Collaborators span academia and industry, with external partnerships in digital construction and AI applications.

• Construction Management
• Digital Transformation
• Artificial Intelligence
• +۵ مورد دیگر