Find Academic Supervisors

• Structural Engineering
• Reinforced Concrete
• Composite Materials
• +4 more

Andreas Näsbom is a researcher at the Institute of Structural Engineering (IBK) , ETH Zürich, Switzerland. His work focuses on structural concrete, hybrid steel/CFRP reinforcement systems, and bond behavior in concrete elements. He specializes in experimental campaigns, distributed fiber optical sensing, and load redistribution analysis in hyperstatic systems. Research Interests: Structural Engineering, Reinforced Concrete durability, Composite Material interactions, and Plasticity Theory limitations in brittle reinforcement systems. His recent study investigates two-span concrete slab strips with hybrid steel/CFRP reinforcement, emphasizing bond stress quantification and cyclic loading effects. Scientific Contributions: This paper represents his current experimental work on hybrid reinforcement behavior, utilizing advanced measurement techniques like Distributed Fiber Optical Sensing (DFOS) to analyze bond-slip relationships and stress redistribution patterns.

Yanrui NingView profile

Assistant Professor

• Coupled thermal-hydrological-mechanical (THM) simulation for geological carbon sequestration
• Enhanced geothermal systems (EGS)
• Unconventional oil & gas development
• +5 more

Dr. Yanrui (Daisy) Ning is an Assistant Professor at the Department of Geological and Mining Engineering and Sciences within Michigan Technological University . She holds a PhD in Petroleum Engineering from Colorado School of Mines, an MS in Environmental Engineering from University of Wyoming, and a BS in Petroleum Engineering from China University of Petroleum. Research Interests focus on advanced subsurface energy engineering, including: Coupled thermal-hydrological-mechanical (THM) simulations for geological carbon sequestration, enhanced geothermal systems (EGS), and unconventional oil & gas development Distributed fiber optic sensing (DFOS) technologies for fracture characterization, wellbore monitoring, and subsurface deformation detection Machine learning applications in subsurface energy systems and reservoir optimization Contact: yning1@mtu.edu | 906-487-2367 | Dow 405

Tomasz SiwowskiView profile

Professor

• Civil Engineering
• Structural Engineering
• Composite Materials in Construction
• +4 more

Prof. Tomasz Siwowski, PhD, DSc, Eng., is the Head of the Department of Roads and Bridges at the Faculty of Civil, Environmental Engineering and Architecture, Rzeszów University of Technology. Appointed as the Minister of Science's representative to the Scientific Council of the Road and Bridge Research Institute, he specializes in structural analysis, composite materials, fatigue strength, and infrastructure durability. His work bridges academic research with practical applications in large-scale infrastructure projects. PhD, DSc, Eng. in Civil Engineering Expert in composite materials and bridge diagnostics Over 200 publications and patents His research focuses on new materials for road infrastructure , diagnostics and durability of structures , and fatigue analysis of steel bridges . Recent studies include implementing FRP composites for bridge decks and repurposing renewable energy components in civil engineering. The 15 most recent publications highlight advancements in distributed fiber optic sensing for structural health monitoring and hybrid construction systems combining concrete with composite materials. As President of Promost Consulting , he directs design and management of major infrastructure projects. The Road and Bridge Research Institute, where he serves on the Scientific Council, develops innovative materials and European-standard construction systems for transportation facilities. His career spans both academic leadership and practical bridge construction supervision .

• Civil Engineering
• Concrete Structures
• Structural Health Monitoring (SHM)
• +3 more

Rafał Marek Sieńko is an Assistant Professor at the Chair of Reinforced Concrete and Prestressed Concrete Structures within the Faculty of Civil Engineering at Cracow University of Technology. His academic career spans over 18 years, focusing on civil engineering, structural health monitoring (SHM), and strain sensing in concrete structures. Discipline: Civil Engineering, Geodesy, and Transport (100% focus) Key Technologies: Distributed fiber optic sensors (DFOS), strain measurements, bridge sensing Research interests center on analyzing concrete strains using advanced monitoring systems, with a strong emphasis on structural integrity and health monitoring. His work integrates civil engineering principles with modern sensing technologies to improve infrastructure resilience. With 111 publications and a Hirsch index of 12 (Scopus) and 11 (Web of Science), his research demonstrates significant academic impact. Total IF of 38 and ministerial score of 2,949 highlight his productivity. He has promoted 1 thesis and is actively involved in academic coaching. The CRIS PK system automatically tracks his contributions, including multi-center publications and citations.

• Civil Engineering
• Geodesy and Transport
• Structural Health Monitoring (SHM)
• +4 more

Tomasz Howiacki is a researcher at the Chair of Reinforced Concrete and Prestressed Concrete Structures, Faculty of Civil Engineering, Kraków University of Technology. His work focuses on structural health monitoring (SHM) and distributed fiber optic sensing (DFOS) applications in civil engineering, particularly for strain measurement in concrete structures and composite bridges. Research Areas : Civil engineering, geodesy, structural health monitoring, DFOS technology, concrete strain sensing, and bridge monitoring. Affiliation : Faculty of Civil Engineering, Kraków University of Technology.

Ge JinView profile

Associate Professor

• Distributed Fiber-Optic Sensing
• Machine Learning
• Advanced Seismic Imaging
• +8 more

Dr. Ge Jin is an Associate Professor of Geophysics and co-director of the Reservoir Characterization Project at Colorado School of Mines. His research focuses on Distributed Fiber-Optic Sensing (DFOS) applications in oil & gas, geothermal, CO2 sequestration, smart cities, and earthquake hazard, alongside machine learning and advanced seismic imaging techniques. PhD, Geophysics and Seismology, Columbia University (2014) MSc, Geophysics and Seismology, Peking University (2009) BSc, Geophysics and Computer Science, Peking University (2006) Before joining Colorado School of Mines in 2019, Dr. Jin worked five years as a research geophysicist in the oil industry. His work integrates DFOS technology with computational methods to address subsurface challenges in energy and environmental domains. His 2024 publications emphasize DFOS and machine learning for monitoring hydraulic fractures, CO2 storage, and smart infrastructure. Articles highlight Python library development (DASCore), fracture propagation dynamics, and fluid flow analysis in unconventional reservoirs. Dr. Jin's students include Garcia-Ceballos, Li, Mjehovich, Zhu, and Ning, who lead research on topics like tube wave excitation, fracture geometry inversion, and multiphase flow sensing. He teaches courses such as Introduction to DFOS and Geophysical Computing . As co-director of the Reservoir Characterization Project, he leads interdisciplinary research and field applications, addressing energy resource extraction and subsurface risk assessment through innovative sensing and data-driven approaches.

• Statistical Signal Processing
• Machine Learning
• System Monitoring
• +6 more

Cédric Richard is a Professor at Université Côte d'Azur, affiliated with Laboratoire Lagrange. His research bridges statistical signal processing and machine learning , focusing on online learning , adaptive signal processing , and system monitoring via techniques like Distributed Fiber Optic Sensing (DFOS) and Artificial Intelligence . Research Interests : Online system identification, signal processing over graphs/networks, nonlinear systems, DFOS for smart cities Scientific Recognition : Former member of the Institut Universitaire de France (2010–2015) Contact : cedric.richard@unice.fr | Website