Find Academic Supervisors

Rob J.M. WolfsView profile

Assistant Professor

• 3D Concrete Printing
• Digital Design and Manufacturing
• Robotics in Construction
• +5 more

Rob J.M. Wolfs is an Assistant Professor at Eindhoven University of Technology (TU/e), specializing in Structural Engineering and Design. He holds dual roles as a faculty member in the Built Environment department and as an EAISI High Tech Systems Assistant Professor. His academic background includes a MSc (2015) and a PhD (cum laude, 2019) from TU/e, both focusing on 3D concrete printing. His research emphasizes digital design, robotics-driven construction, and sustainable practices in architecture and engineering. Key interests include 3D concrete printing, quality control, and integration of machine learning for structural optimization. He serves as an Associate Editor for Springer’s Materials & Structures and has received prestigious awards like the 2022 Veni Grant and the 2024 RILEM Medal. Recent articles highlight advancements in quality control frameworks, data-driven manufacturing, and large-scale applications of 3D-printed concrete. His work often bridges theoretical models with practical field implementations, addressing both technical challenges and sustainability goals. Rob frequently collaborates internationally, including visiting research roles at IFSTTAR (France) and DTU (Denmark). He teaches courses on digital design, resource-efficient engineering, and construction technologies. Media engagements include expert commentary on 3D-printed housing and future construction trends.

• Energy Sector
• Oil Production
• Pipelines Engineering
• +5 more

Hamid Elhag serves as a Researcher in the Department of Energy and Mechanical Engineering with specialized expertise in energy infrastructure systems, particularly focused on pipeline engineering and its applications in Sudan and South Sudan. His research profile demonstrates significant activity across numerous projects, with project counts growing from 22 in 2019 to 175 in 2024, indicating expanding research scope and collaboration networks. Dr. Elhag's research interests center on the intersection of mechanical engineering principles and energy sector challenges in politically complex environments. His work spans pipeline integrity assessment, welding technology, non-destructive testing methodologies, and the socio-economic implications of energy infrastructure in conflict-affected regions. The fingerprint analysis of his work reveals 100% focus on Sudan and South Sudan studies within the energy sector, with additional emphasis on oil production (50%) and related social dimensions including legal agreements, social stability, and transport infrastructure (each 25%). His publication trajectory shows consistent technical expertise development, beginning with foundational work on non-destructive testing applications in Sudan's oil industry (2008) through pipeline engineering fundamentals (2010-2018), culminating in his most recent 2024 analysis of the Khartoum War's economic and environmental impacts on regional energy systems. This progression demonstrates how his technical engineering expertise has increasingly incorporated geopolitical and environmental dimensions. Dr. Elhag's research contributes significantly to UN Sustainable Development Goals related to affordable and clean energy (SDG 7), industry innovation (SDG 9), and sustainable communities (SDG 11), particularly through his work on energy infrastructure resilience in challenging environments. His extensive project involvement from 2019-2025 across nearly 500 total projects indicates substantial research grant activity and collaborative networks, though specific funding sources aren't detailed in the available information. The project listings show participation in multidisciplinary teams addressing energy and mechanical engineering challenges.

• Civil Engineering
• Infrastructure Risk Assessment
• Sustainable Building Technologies
• +2 more

Kanishka Atapattu is a Research Translation Fellow at RMIT University , specializing in civil infrastructure resilience and sustainable building technologies. Their research focuses on: Predictive modeling for road pavement vulnerability under geohazards Automated structural health monitoring systems Climate-adaptive building retrofit optimization Current projects highlight interdisciplinary applications of simulation-based methods and machine learning in civil engineering. They can be contacted at kanishka.atapattu@rmit.edu.au .

• Steel Construction
• Offshore Wind Energy
• Fatigue Analysis
• +3 more

Prof. Dr.-Ing. Peter Schaumann is an Emeritus Professor at the Institute of Steel Construction within the Faculty of Civil Engineering and Geodetic Science at Leibniz University Hannover. His research focuses on advanced steel construction technologies, particularly in offshore wind energy infrastructure, corrosion and fatigue analysis, fire protection systems, and innovative manufacturing processes. He leads interdisciplinary projects such as ProBucket (suction bucket technology) and GROWup (grouted connections in offshore structures). Research Interests : Offshore wind turbine support structures Corrosion-fatigue interaction in marine environments Automated quality assurance for welded joints Fire resistance of steel-concrete composite systems Bolted flange connections under cyclic loading Deep rolling processes for surface enhancement Key Contributions : His work bridges material science with structural engineering, addressing critical challenges in offshore renewable energy systems. Recent studies analyze submerged grouted connections, suction bucket buckling, and long-term durability of protective coatings. Labs/Teams : Active in the Multi-Scale Methods for Interface Coupling (MUSIC) research group and collaborates with industry partners on large-scale offshore construction projects.

• Lean Manufacturing
• Quality Control
• Manufacturing Process Optimization
• +3 more

Sean Moore is an Associate Professor in the School of Engineering at the University of Limerick. His research focuses on lean manufacturing, quality control, and biomedical device production, with a strong emphasis on integrating advanced technologies like machine vision, real-time analytics, and cyber-physical systems into production systems. He has contributed to process optimization, waste valorization through pyrolysis, and sustainable industrial practices. Key research areas include non-destructive testing methods (e.g., Raman spectroscopy, FT-IR), data-driven process monitoring, and the application of statistical process control in healthcare manufacturing. His work bridges engineering and healthcare, addressing challenges in medical device development, supply chain efficiency, and environmental sustainability. Collaborations span academia and industry, with projects addressing global policy frameworks for disability support and industrial wastewater management. His publications highlight trends toward closed-loop production systems, energy-water-carbon nexus analysis, and lean methodologies tailored to biomedical manufacturing. Notable contributions include pioneering work on bio-oil production from torrefied feedstock, optimizing coronary stent supply chains, and refining interventional catheter designs. His research aligns with the UNCRPD by advocating for accessible healthcare solutions and sustainable industrial practices.

• Structural Dynamics
• Experimental Dynamics
• Structural Health Monitoring
• +4 more

Shinae Jang is a Professor in Residence at the University of Connecticut's School of Civil and Environmental Engineering within the College of Engineering. Her research focuses on structural dynamics, experimental dynamics, structural health monitoring algorithms, long-term bridge health monitoring, and wireless smart sensor technology. She holds a Ph.D. from the University of Illinois at Urbana-Champaign (2010). Professor Jang has pioneered innovative approaches in both structural engineering and civil engineering education. Her work combines advanced monitoring techniques with cutting-edge sensor technologies, emphasizing real-time data acquisition and machine learning applications. Recent research includes developing low-cost RFID-based crack detection systems and ANN-based structural assessment methods for infrastructure resilience. In education, she is recognized for reimagining statics courses to foster creativity and inclusion, particularly for neurodiverse learners. Her pedagogical innovations include integrating augmented reality tools and hybrid learning models to enhance engagement. Her over 100 publications span structural health monitoring systems, damage detection methodologies, and education reforms. Key projects include long-term bridge monitoring in Connecticut and comparative studies on global construction policies. She maintains an active research lab focused on smart infrastructure solutions, accessible via http://smart.engr.uconn.edu .

Monika ZielińskaView profile

Assistant Professor

• Non-Destructive Testing
• Historical Building Conservation
• Ultrasonic Tomography
• +4 more

Dr. Monika Zielińska is an Assistant Professor at the Department of Technical Fundamentals of Architectural Design, Gdańsk University of Technology. Her research focuses on non-destructive testing of historical and modern construction materials, including timber, masonry, and laminated glass. She specializes in ultrasonic tomography, ground-penetrating radar (GPR), and finite element modeling (FEM) for structural integrity assessment. Key projects include investigations of historical churches in the West Vistula Delta and diagnostics of the Gdańsk Crane, a 14th-century landmark. Affiliations: Faculty of Architecture (since current appointment) Key Skills: Modal analysis, dynamic analysis, damage imaging Her 2023-2024 publications emphasize interdisciplinary approaches in heritage conservation, combining experimental methods with advanced computational models. Notable works include sonic tomography for rammed earth analysis and GPR-based floor diagnostics in historical structures. Grants: Led a PRELUDIUM project (2018-2021) on ultrasonic tomography algorithms and contributed to an OPUS-funded project on concrete cracking.

Dimitrios LoverdosView profile

Lecturer

• Digital Construction
• Structural Engineering
• Finite Element Method (FEM)
• +12 more

Dimitrios Loverdos is a Lecturer in Digital Construction at the School of Civil Engineering, University of Greenwich, within the Faculty of Engineering and Science. He holds a PhD and MEng from the University of Leeds, Department of Civil and Structural Engineering, and specializes in integrating digital technologies with structural engineering applications. Education: PhD in Civil and Structural Engineering, University of Leeds MEng in Civil and Structural Engineering, University of Leeds His research lies at the intersection of structural engineering and digital innovation, focusing on physical large-scale testing , numerical analysis using FEM and DEM , and the application of computer vision and machine learning for structural assessment. He leverages Python and MATLAB for algorithmic development in automated model generation, defect detection, and damage evaluation of built structures. The recent publications reflect a strong trend toward intelligent, data-driven structural analysis, combining photogrammetry with deep learning for digital twin creation, vision-based inspection systems, and advanced numerical modeling of composite systems under extreme conditions like fire. These works highlight interdisciplinary work across civil engineering, AI, and computational mechanics. Scientific Awards: No awards listed in the provided text. Regarding academic advising and research grants, no specific information is available in the current text. There is no mention of PhD students supervised or funding received. In terms of laboratory involvement, Dimitrios has extensive hands-on experience in laboratory environments, contributing to construction, experimental testing, and demolition activities. He has also provided technical assistance and management in lab operations, demonstrating strong practical and managerial capabilities in experimental structural engineering.

• Laser Doppler Anemometry
• Thermography-Based Diagnostics
• Vision and Photogrammetry in Inspection
• +1 more

Prof. Sławomir Zator holds the position of University Professor at the Department of Safety Engineering and Technical Systems under the Faculty of Production Engineering and Logistics at Opole University of Technology. His research focuses on advanced diagnostics techniques using laser Doppler anemometry, thermography, and vision-based methods for infrastructure and energy systems. He also explores energy management strategies in buildings, emphasizing smart home integration with renewable energy sources like photovoltaics and heat pumps. His work bridges theoretical advancements with practical applications in power line safety, industrial equipment monitoring, and sustainable energy solutions. Research interests include: Laser-based flow measurement innovations Non-destructive evaluation of boiler tubes and power line components Machine vision applications for structural diagnostics Optimization of building energy systems Recent publications highlight trends in smart grid energy scheduling, icing risk mitigation for power infrastructure, and hybrid energy storage integration. His work often features cross-disciplinary approaches combining thermal imaging, computational modeling, and automation technologies. Prof. Zator maintains an active research profile through collaborations with international institutions and contributes to technical education via course development in safety engineering and metrology.

Ulrike DackermannView profile

Lecturer

• Structural Health Monitoring (SHM)
• Non-Destructive Testing & Evaluation (NDT&E)
• Hybrid Timber Structures
• +6 more

Dr. Ulrike Dackermann is a Lecturer in the School of Civil and Environmental Engineering at UNSW and a member of the Centre for Infrastructure, Engineering and Safety (CIES). She joined UNSW in 2017 after serving as a lecturer at the University of Technology Sydney (UTS) from 2014. Her expertise spans Structural Health Monitoring (SHM), Non-Destructive Testing & Evaluation (NDT&E), Hybrid Timber Structures, and AI-driven data analytics. Dr. Dackermann holds a PhD in Civil Engineering (UTS, 2010) and an MSc from TU Munich (2003). Her research focuses on advancing smart SHM systems using AI, signal processing, and data fusion. Notable projects include developing damage assessment methods for the Sydney Harbour Bridge and crowd monitoring for pedestrian bridges. She also collaborates with AusGrid on AI-based tools for timber pole inspection. Her work on hybrid timber structures explores their dynamic behavior and long-term performance under pedestrian vibrations. Research Interests: SHM, NDT&E, timber structures, AI, modal analysis, guided wave analysis. Affiliations: Deputy Editor of the Australian Journal of Civil Engineering, member of ANSHM, CRESTIMB, and multiple international engineering consortia. Grants: ARC Linkage Project (2023–2026), Australia-Germany Joint Research (2018–2019), and multiple UTS grants. Teaching: Courses include Structural Dynamics, Sustainable Timber Engineering, and Bridge Engineering. Dr. Dackermann’s research addresses both technical and societal challenges, such as her volunteer work with Engineers Without Borders to design energy-efficient stoves in Nepal and Tanzania. Her interdisciplinary approach integrates hands-on engineering solutions with global impact.

Jan LindlandView profile

Associate Professor

• Concrete Durability
• Concrete Rehabilitation
• Civil Engineering
• +1 more

Jan Lindland is an Associate Professor at the Department of Engineering Sciences , University of Agder, working in 20%-employment. He holds a Master of Science in Civil Engineering from the University of Trondheim (now Norwegian University of Science and Technology) and has extensive experience in consulting engineering. Education: Master of Science in Civil Engineering (Building Construction), University of Trondheim (1983) Consulting Career: Partner and Managing Director at Stærk & Co. a.s. (1996–present), Managing Director at Knudsen & Kaarigstad AS (2001–2004), and Civil Engineer roles at Dr.techn. Kristoffer Apeland AS (1984–1996). His research focuses on concrete durability and rehabilitation techniques , particularly damage mechanisms in concrete structures and compliance with standards. His publications emphasize practical applications of electrochemical rehabilitation, chloride extraction, and historical preservation. Jan Lindland's consulting background informs his academic work, blending structural engineering and construction management with academic teaching. He has contributed to guidelines for concrete rehabilitation and technical seminars on the subject.

• Quantum Magnetometry
• Atomic Physics
• Magnetic Field Sensing
• +3 more

Dr. Dominic Hunter is a Research Fellow in the Department of Physics within the Faculty of Science at the University of Strathclyde. His research focuses on quantum magnetometry, particularly developing optically pumped magnetometers (OPMs) for geophysical, space weather, and biomedical applications. Education Doctor of Engineering in Applied Photonics Dr. Hunter's research centers on atomic-scale magnetic field sensing using quantum techniques. He specializes in free-induction-decay methods, cesium vapor cell optimization, and miniaturization of quantum magnetometers. His work bridges fundamental atomic physics with practical implementations for GNSS-denied navigation, critical infrastructure monitoring, and medical diagnostics like magnetocardiography. Recent innovations include distributed sensor networks for space weather tracking and portable single-beam systems for clinical applications. His 2023-2024 publications reveal strong trends in quantum sensor miniaturization (67% of works), space weather applications (33%), and biomedical translation (17%). Key advancements involve spin relaxation optimization, microfabricated vapor cells, and zero-field operation techniques across physics, geophysics, and biomedical engineering domains. Research Funding Ultra-stable quantum magnetometry for imaging in Earth-field environments (Principal Investigator, Royal Academy of Engineering, 2024-2026) Quantum Sensing of the Geomagnetic Space Weather Environment (Research Co-investigator, EPSRC, 2023-2026) UK National Quantum Technology Hub in Sensing and Timing (Principal Investigator, 2019-2024) Dr. Hunter actively contributes to the academic community through peer review for Optics Express and conference presentations at SPIE events. He collaborates extensively with the UK National Quantum Technology Hub team including Paul Griffin, Erling Riis, and Stuart Ingleby on quantum sensing projects. Laboratory Affiliations He operates within the University of Strathclyde's quantum sensing ecosystem as part of the UK National Quantum Technology Hub in Sensing and Timing, utilizing specialized laboratories for atomic magnetometer development and testing.

Juan Antonio Moreno MartínezView profile

Professor

• Maritime Technology
• Non-Destructive Testing
• Naval Engineering
• +2 more

Juan Antonio Moreno Martínez is a full professor at the Department of Nautical Science and Engineering, Polytechnic University of Catalonia (UPC), serving as Dean of the Barcelona Faculty of Nautical Sciences (FNB) since July 2025. He graduated in Civil Navy with specialization in Naval Engineering from FNB (UPC) in 1986 and worked as a Merchant Navy engine officer until 1991 before transitioning to academia. Academic Roles: Full Professor (2017), Doctorate from UPC (2016), Vice-Dean of Institutional Relations (2017-2025) Research Focus: Non-Destructive Testing (NDT) with ultrasound methods, antifouling coatings, maritime cybersecurity, and digital training systems Labs/Teams: Leads FNB's ANDT Laboratory, collaborates with UPC's IRGASC (Bioengineering) and CRnE (Nanoengineering) Strategic Projects: Developing naval architecture degree programs, maritime technology park integration, and international Erasmus+ collaborations Publications: 15 most recent works span maritime sustainability, NDT applications, and cyber training systems (2025-1999)

David MénardView profile

Professor

• Magnetism
• Microwave Devices
• Magnetic Materials
• +5 more

David Ménard is a Full Professor in the Department of Engineering Physics at Polytechnique Montréal . He leads the Magentism Laboratory and manages the Superconductivity and Magnetism Laboratory (LSM) , while also participating in research groups like the Quebec Group on Advanced Materials (RQMP) and Thin Film Physics and Technology Research Group (GCM) . Expertise spans Magnetism , Microwave Devices , Mesoscopic Physics , and Nanofabrication Research Trends (2023-2025): Focus on CoFeB thin films , SmCo-Al permanent magnets , molecular radical magnetism , and biomimetic malaria pigment synthesis . Key methodologies include microwave magnetic resonance , spin transport , and Giant Magnetoimpedance (GMI) . Scientific Awards : 2019 Excellence in Teaching Award, Polytechnique Montréal Advising Legacy : Supervised 16 PhD and 12 Master’s theses since 2006, including groundbreaking work on magnetic nanowires , hydrogen embrittlement , and magnetic water treatment .

Markus Höglinger-RauscherView profile

Researcher

• Computed Tomography
• Machine Learning
• Materials Engineering
• +3 more

Markus Höglinger-Rauscher is a researcher at the University of Applied Sciences Upper Austria, active in the Center of Excellence Automotive/Mobility and Center of Excellence Medical Engineering/TIMed Center. His work focuses on advanced material characterization techniques and computational methods. Affiliations: Research Center Wels, Smart Production Computed Tomography focal area Research Interests: His primary fields include Computed Tomography , Machine Learning , and Non-destructive Testing with applications in Carbon Fiber Reinforced Polymers and Thermoelectric Modules . He specializes in industrial X-ray imaging, neural network-based segmentation, and multi-modal material analysis. Recent Publications: In 2024, he published two conference posters on thermoelectric module inspection using infrared thermography and acoustic microscopy. In 2023, he contributed to a journal article on U-Net neural networks for pore segmentation in composites, leveraging X-ray CT data. Projects: He is a co-investigator in the HyperMAT project (2023-2028) for hyperspectral material characterization and the TC-HiResFoot project (2022-2025) applying high-resolution imaging to diabetic foot complications. His collaborations span institutions in Upper Austria, focusing on advanced procedures and aerospace applications.