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Stergios-Aristoteles MitoulisView profile

Associate Professor

• Infrastructure Resilience
• Sustainable Construction
• Digital Transformation of Built Environment
• +5 more

Stergios-Aristoteles Mitoulis serves as Associate Professor in Engineering and Project Management at University College London's Bartlett School of Sustainable Construction. A Chartered Engineer (CEng MICE) with memberships in ASCE, EAEE, IABSE and FHEA, he directs the MetaInfrastructure.org and BridgeUkraine.org initiatives while coordinating major EU-funded projects including ZEBAI (€5M), RISKADAPT (€2.5M), and PORTAL (€1.8M). His research centers on three pillars: (1) threat-agnostic resilience frameworks for infrastructure under cascading risks; (2) AI-driven decision systems integrating remote sensing and digital twins; and (3) sustainable retrofitting of transport assets using recycled materials. With over £8 million in research funding from UKRI and Horizon Europe, his work directly informs Eurocode standards and national infrastructure policies. Analysis of his recent publications reveals strong emphasis on multi-hazard fragility modeling (particularly bridges), AI-enabled damage identification, and climate-resilient transport networks. His work consistently bridges theoretical innovation with practical implementation, evidenced by 20+ peer-reviewed papers in 2024-2025 alone spanning reliability engineering, structural safety, and sustainable development. Thorpe Medal for outstanding engineering research IStructE Research Award for infrastructure innovation Editor-in-Chief of ICE Journal of Bridge Engineering Regular contributor to Eurocode standardisation committees Mitoulis actively supervises 40+ doctoral and postdoctoral researchers across 10+ international projects. His REF2029 Impact Case Study focuses on digital technologies for infrastructure resilience, while his £8M+ grant portfolio includes major collaborations with Ukrainian institutions through bridgeUkraine.org. He leads the MetaInfrastructure research group developing counterfactual engineering approaches for the metaCity concept, with recent media coverage by BBC on conflict-damaged infrastructure recovery. The MetaInfrastructure team operates through dedicated labs for digital twin development, AI/ML applications, and sustainable materials testing. Current initiatives include the PORTAL project for AI-driven infrastructure monitoring and ReCharged for circular economy in transport networks. Mitoulis' educational contributions feature a FutureLearn MOOC on critical infrastructure resilience and CPD training for ICE professionals.

Panagiotis PanagiotouView profile

Lecturer

• Condition monitoring
• Fault diagnostics
• Digital signal processing
• +2 more

Dr. Panagiotis Panagiotou is a Lecturer in Electrical Machines and Drives at the University of Sheffield 's School of Electrical and Electronic Engineering since 2022. His work focuses on advanced diagnostics for electrical machines, particularly through the Rolls-Royce University Technology Centre in Advanced Electrical Machines. He holds a PhD from Coventry University (2020) and specializes in condition monitoring, fault detection, and signal processing for industrial applications. University of Patras: BEng & MEng in Electrical & Computer Engineering (2015) Aristotle University of Thessaloniki: MSc in Complex Systems & Network Theory (2017) Coventry University: PhD in Condition Monitoring & Fault Diagnostics of Electrical Machines (2020) His research centers on electrical machine diagnostics , where he develops novel methods using stray flux analysis , torque monitoring , and impedance spectroscopy to detect rotor/stator faults. This spans from theoretical modeling to practical aerospace applications. Recent work introduces harmonic isolation techniques and thermal degradation mapping for insulation systems. Publications demonstrate expertise in induction motor fault detection , stator coil diagnostics , and power electronics education . Key trends include stray flux spectrogram analysis, thermal stress characterization, and cost-effective remote lab platforms. Collaborations involve Rolls-Royce, IEEE Industrial Electronics Society, and international institutions.

• Wood Mechanics
• Non-Destructive Testing
• Materials Engineering
• +3 more

Stéphane Girardon is an Associate Professor at Arts et Métiers Institute of Technology, affiliated with the College of Engineering. His research focuses on advanced wood characterization techniques, mechanical behavior of lignocellulosic materials, and sustainable structural applications. Develops non-destructive testing methods using terahertz imaging and X-ray analysis Applies deep learning for automated defect detection in wood veneers Investigates fiber orientation influence on mechanical properties Optimizes laminated wood structures for civil and automotive engineering His recent work bridges computational modeling with industrial applications, particularly in the BOOST and WOOPS projects. Publications highlight expertise in: Terahertz spectroscopy for wood density measurement Machine learning-based defect recognition Anisotropic material behavior in timber Optical characterization using tracheid effect Mechanical performance of glued wood-concrete connections Microstructure-scale modeling with Discrete Element Method As part of the LaBoMaP research team, he contributes to eco-materials development for sustainable mobility and construction sectors.

Wouter SaeysView profile

Professor

• Biophotonics
• Hyperspectral Imaging
• Agrofood Technology
• +3 more

Prof. Wouter Saeys leads the Biophotonics group at the Department of Biosystems (BIOSYST), Faculty of Bioscience Engineering, KU Leuven. His research focuses on light interaction with biological systems for sensor development in agrofood and biomedical domains. Funded by FWO, European Commission, and IRO, his work spans hyperspectral imaging, chemometrics, and machine learning applications. Full Professor and Head of MeBioS Technologies division Contact person for Mechatronics, Biostatistics and Sensors (MeBioS) Member of faculty councils and teaching committee Research Interests Specializes in Biophotonics for agrofood systems, developing optical sensors for: Milk composition analysis via spatially resolved spectroscopy Pork adulteration detection using Raman/NIR fusion Precision fertilization through UAV-based multispectral monitoring AI-driven X-ray spectral imaging for horticultural quality Acoustic pest insect identification via wingbeat signatures Precision nitrogen management in potato cultivation Publications & Projects show consistent focus on hyperspectral deep learning, spectral data fusion, and non-destructive evaluation methods. Recent articles demonstrate 2025 breakthroughs in subspace learning (partial Tucker decomposition) and fluorescent tagging for grain contamination detection. Honors : CADcracker science prize (7500 euro) Academic Leadership : Supervises 10+ PhD/MSc students including Valeria Fonseca Diaz, Anna Tsibart, and Laura Carolina Martinez Esmeral. Teaches courses in Chemometrics , Agricultural Robotics , and Engineering Properties of Biological Materials . Laboratory : Maintains state-of-the-art facilities for Vis-NIR/SWIR hyperspectral cameras, femtosecond laser manufacturing of optical references, and RGB-D imaging systems at Kasteelpark Arenberg 30, Leuven.

• Ultrasonic Testing
• Solid Mechanics
• Structural Analysis
• +6 more

Jose Manuel Galán Fernández is a Professor at the University of Seville, affiliated with the Higher Technical School of Engineering and the Department of Construction Engineering and Engineering Projects. His work focuses on structural mechanics, ultrasonic testing, and computational methods. Research Interests: He specializes in ultrasonic guided wave propagation, boundary element methods (BEM), finite element methods (FEM), and structural integrity analysis. His studies address wave scattering in plates, non-destructive testing (NDT), and mechanical design. Key Projects: Development of partitioned formulations for dynamic and contact problems Integration of substructures with complex couplings Finite element analysis of high-temperature storage tanks Publications: His research spans Lamb wave behavior, ultrasonic inspection techniques, and numerical modeling of structural systems. Recent works explore waveguide transitions and viscoelastic coating defects.

• Computer Vision
• Machine Learning
• Non-Destructive Testing
• +3 more

Hai Zhang is a Research Fellow affiliated with the Computer Vision and Systems Laboratory at Université Laval. His work focuses on interdisciplinary research spanning Computer Vision, Machine Learning, Non-Destructive Testing, and Materials Science. He specializes in developing advanced algorithms for defect detection, image processing, and material analysis leveraging techniques like infrared thermography, terahertz imaging, and deep learning models such as Faster R-CNN and Swin Transformers. His research also intersects with financial modeling, exploring topics like debt overhang and option compensation. Zhang’s contributions to privacy-preserving distributed learning and optimization algorithms further highlight his expertise in computational methods. He has published extensively on topics including super-resolution imaging, finite element analysis for material inspection, and mathematical theories of electromagnetic phenomena. Zhang’s work frequently emphasizes practical applications in cultural heritage conservation, medical imaging, and industrial material evaluation. His interdisciplinary approach bridges theoretical advancements with real-world problem-solving, particularly in non-invasive inspection techniques for art, historical artifacts, and engineering materials.

David GrayView profile

Assistant Professor

• Magnetic materials and phenomena
• Non-destructive inspection and evaluation
• Engineering pedagogy
• +3 more

David Gray, Ph.D., is a Collegiate Assistant Professor and Assistant Department Head for Undergraduate Programs in the Department of Engineering Education at Virginia Tech's College of Engineering. He holds a Ph.D. in Materials Science and Engineering from Virginia Tech (2009), along with an M.S. (2002) and B.S. (2000) in the same institution. His professional experience spans academia and industry, including roles as Director of Research and Development at Prime Photonics and Senior Project Engineer at TORC Robotics. Dr. Gray's research focuses on magnetic materials, non-destructive inspection, and effective pedagogical methods for first-year engineering students. He has secured $30k in research funding through VentureWell for undergraduate research initiatives. Notable achievements include the 2021-2022 Nunnally Award for Excellence in Engineering Education. Education includes a strong foundation in electrical and materials engineering, culminating in postdoctoral work on magnetic sensors. His teaching philosophy emphasizes mentorship, project-based learning, and fostering student engagement. Dr. Gray has authored over 20 peer-reviewed publications and holds multiple patents related to energy harvesting, non-destructive testing systems, and magnetoelectric sensors. Professional affiliations include editorial roles with the ASNT Research in Nondestructive Evaluation journal. Grants: VentureWell - Student-Lead Early Academic Career Undergraduate Research ($30k) Patents: Includes systems for non-uniformity detection, magnetothermal energy devices, and torque measurement technologies. Teaching: Courses span foundational engineering design (ENGE 1215/1216), innovation (ENGE 2094), and capstone projects (ENGE 4735/4736). Awards highlight his commitment to excellence in engineering education, reflecting a career bridging academic rigor with industry innovation.

Kevin DonohueView profile

Professor

• Biomedical Signals
• Detection and Estimation Theory
• Distributed Sensor Systems
• +4 more

Kevin Donohue is the Databeam Professor of Electrical and Computer Engineering at the University of Kentucky's Stanley and Karen Pigman College of Engineering. He co-founded Signal Solutions LLC as a technical director, focusing on applied sensor technologies. His education includes a B.A. in Mathematics from Northeastern Illinois University and a B.S., M.S., and Ph.D. in Electrical Engineering from Illinois Institute of Technology. Donohue's research spans biomedical signals, detection theory, and distributed sensor systems. He pioneered non-invasive sleep monitoring in rodents using piezoelectric sensors, advancing sleep disorder research and neurotechnology. His work intersects engineering with healthcare, agriculture, and animal science—e.g., developing acoustic/hyperspectral systems to detect codling moth infestations in apples. Recent studies address sex differences in sleep, sleep deprivation impacts on dairy cows, and genetic influences on sleep patterns. His technical leadership includes serving as Interim Department Chair (2007, 1997–2000) and Director of Undergraduate Studies (2000–2005, 1994–1997). His sensor innovations span wearable devices for cerebral blood flow monitoring and vibration-based injury prediction in racehorses. Collaborations with biologists, veterinarians, and agronomists highlight interdisciplinary strengths. Notably absent are formal academic awards listed, though his prolific publication record (over 200 articles) and industry partnerships reflect sustained impact. His lab and Signal Solutions LLC actively develop translational solutions for medical, agricultural, and environmental challenges.

• Aerospace Engineering
• Materials Science
• Non-Destructive Testing
• +4 more

Dr. Francesco Ciampa Dr. Francesco Ciampa is an Associate Professor in Structural Integrity and Composites at the University of Surrey's Department of Mechanical Engineering Sciences. His research focuses on advanced materials and structural health monitoring, particularly in aerospace and energy sectors. Key areas include ultrasonic and thermographic inspection, multifunctional composites, and damage detection. Research Interests Development of shape memory alloy-reinforced composites for enhanced damage tolerance. Non-destructive testing techniques using infrared thermography and nonlinear ultrasonics. Structural health monitoring systems for aerospace components, including adhesive joints and T-joints. Thermal management systems for energy storage devices. Grants & Collaborations He has secured funding from DSTL, Royal Society, EPSRC, Leverhulme Trust, and EU. Collaborations involve industries like aerospace and energy sectors, emphasizing practical applications of his research. Publications & Impact Recent work includes breakthroughs in multifunctional composites (e.g., SMA tufted T-joints) and security scanning via infrared thermography. Over 50 peer-reviewed articles showcase contributions to materials science, structural engineering, and non-destructive evaluation.

Antonis GiannopoulosView profile

Professor

• Ground Penetrating Radar
• Computational Electrodynamics
• Geophysical Imaging
• +2 more

Antonis Giannopoulos is Professor and Personal Chair of Applied Geophysics and Computational Electrodynamics at University of Edinburgh's School of Engineering. With a D.Phil. from University of York (1997) and geology degree from Aristotle University of Thessaloniki (1991), he leads research in ground penetrating radar (GPR) modeling and applications. Giannopoulos directs development of gprMax, the open-source FDTD electromagnetic simulator widely used in GPR research. His research advances computational electrodynamics methods for realistic GPR simulation, including antenna design, wave propagation modeling, and machine learning applications for automated data interpretation. Applications span landmine detection, infrastructure inspection, and planetary exploration radar systems. Current projects develop AI frameworks for interpreting GPR data from lunar and Martian missions. Giannopoulos teaches Surveying for Construction and Infrastructure Sensing using GPR courses. Administrative roles include former Head of Civil and Environmental Engineering (2019-2022). As General Chair of the 9th International Workshop on Advanced Ground Penetrating Radar (2017), he fostered global research collaboration in geophysical sensing technologies.

Christian HesseView profile

Lecturer

• Geodesy
• 3D Scanning
• Sensor Systems
• +3 more

Prof. Christian Hesse is a geodesy expert serving as Lecturer at the Hamburg University of Applied Sciences (HCU) since 2010. He teaches courses in Integrated Navigation, Dynamic Measurement Technology, and Industrial Measurement Technology within the Master's program in Geodesy and Geoinformatics. Previously, he worked as a research assistant at the Leibniz University Hannover (2000–2006) and as a lecturer at Hochschule 21 in Buxtehude. Hesse holds a PhD in Geodesy and is a publicly appointed surveyor, serving as Vice President of the DVW (Society for Geodesy, Geoinformation, and Land Management). His research focuses on multi-sensor systems, kinematic 3D laser scanning, and underwater measurement technologies. Notable projects include the development of the 3D HydroMapper system for infrastructure inspection and collaboration on EU-funded projects with institutions like TU Munich and the University of the Bundeswehr Munich. He coordinates large-scale research initiatives funded by BMBF, BMWK, and BMDV, emphasizing applied engineering solutions. Hesse has published extensively on topics like geodetic monitoring of infrastructure, underwater scanning, and sensor integration. His work combines academic rigor with practical applications, addressing challenges in civil engineering, hydrography, and structural safety. Recent projects highlight innovations in digital infrastructure management and machine learning for port infrastructure analysis.

Lola Fernández Caballero FariñasView profile

Research Fellow

• Ultrasound Technology
• Non-destructive Testing
• Battery Characterization
• +3 more

Lola Fernández Caballero Fariñas is an Ikerbasque Research Fellow and Juan de la Cierva Research Fellow at the University of Deusto's DeustoTech Institute of Technology within the Faculty of Engineering. As a member of the Applied Mechanics research team, she develops ultrasound techniques for rapid, non-destructive, and non-invasive process monitoring across diverse materials and industrial applications. Her educational foundation includes: Telecommunications Engineering degree from the University of Alcalá (UAH), Spain PhD in Biomedical Engineering from the Polytechnic University of Madrid, Spain Dr. Fariñas' research integrates ultrasound technology with practical problem-solving in energy, agriculture, and manufacturing. She pioneers contactless inspection methods for lithium-ion batteries to assess state-of-charge and structural integrity, develops ultrasonic plant water monitoring systems for precision irrigation, and applies non-destructive testing to composite materials and food production quality control. Her work consistently bridges theoretical engineering with real-world industrial challenges. Recent publications reveal a strategic expansion of ultrasonic spectroscopy into novel domains—from battery diagnostics to plant physiology and food texture analysis—demonstrating remarkable adaptability of core methodology across disparate fields while maintaining technical rigor in non-invasive measurement. Her scientific contributions have been recognized through: Ikerbasque Research Fellowship Juan de la Cierva Research Fellowship from the Spanish Ministry of Science Based at DeustoTech's Applied Mechanics research team, Dr. Fariñas maintains active collaborations with international institutions including MIT, Harvard, and the University of Glasgow, driving innovation in material characterization while advancing sustainable solutions for energy storage and agricultural technology.

Pierre-Antoine ADRAGNAView profile

Associate Professor

• Additive Manufacturing
• 3D Printing Optimization
• Reverse Engineering
• +4 more

Pierre-Antoine ADRAGNA serves as a Research Teacher at the University of Technology of Troyes (UTT), affiliated with the Laboratory of Mechanical & Material Engineering (LASMIS). His academic work bridges theoretical research and industrial applications in advanced manufacturing technologies. His research interests focus on Additive Manufacturing optimization , particularly FDM 3D printing processes, where he develops techniques for infill reinforcement and continuous extrusion. Additional expertise includes Reverse Engineering for medical prosthetics and building reconstruction, Mechanical Tolerancing methodologies, and Finite Element Analysis for predicting manufacturing outcomes. His work demonstrates strong industry collaboration, notably with Levels3D in the Automodel3D project for 3D building reconstruction. Dr. ADRAGNA's publication record reveals consistent contributions to mechanical engineering literature, with recent work emphasizing practical solutions for 3D printing challenges and manufacturing process optimization. His research integrates computational methods with experimental validation to address real-world manufacturing constraints. Automodel3D (2016-2019): Automated 3D building reconstruction from point clouds, co-financed by EU and Champagne-Ardenne region OptiFabAdd (2018-2021): Digital tool development for FDM additive manufacturing optimization, supported by EU and CD10 His laboratory work at LASMIS focuses on advancing mechanical engineering methodologies through computational approaches and experimental validation, contributing to UTT's research profile in advanced manufacturing systems.

Konstantinos StamoulisView profile

Professor

• Aviation Engineering
• Composite Materials
• Maintenance Technologies
• +5 more

Konstantinos Stamoulis is a Full Professor in Aviation Engineering at Amsterdam University of Applied Sciences. His research focuses on advanced materials, maintenance technologies, and data-driven solutions for aviation systems. Key areas include composite materials behavior, non-destructive testing (NDT), and sustainable maintenance practices. Recent work explores smart maintenance systems using digital technologies, electric aircraft operations, and 4D printing applications. He has organized major conferences like the International Symposium on Aviation Technology and contributed to datasets on MRO analytics. Recipient of the 2019 SARES Science Award, his research bridges theoretical advancements with practical aviation challenges, emphasizing interdisciplinary collaboration.

Christopher L. AlexanderView profile

Assistant Professor

• Civil Engineering
• Corrosion Science
• Electrochemistry
• +3 more

Christopher L. Alexander is an Assistant Professor in the Department of Civil & Environmental Engineering at the University of South Florida . His research focuses on in-situ electrochemical analysis to study corrosion processes in civil infrastructure, including chloride ingress, carbonation, and corrosion in steel-reinforced concrete. He employs multi-physics finite-element models to predict damage propagation and improve design/inspection protocols. Education: B.S. Civil Engineering (University of South Florida), M.E. Civil Engineering (University of Florida), Ph.D. Chemical Engineering (University of Florida). Research Interests: Alexander’s work bridges electrochemistry and civil engineering, addressing corrosion mechanisms in infrastructure materials. His studies integrate experimental techniques like electrochemical impedance spectroscopy with computational models to assess material durability. Key themes include galvanic coupling effects, hydrogen embrittlement in post-tensioned tendons, and novel corrosion barrier technologies. He collaborates on sensor development for detecting grout deficiencies in structural tendons. Publications: His recent work emphasizes electrochemical impedance spectroscopy applications for corrosion monitoring, geometric influences on electrochemical measurements, and durability modeling of stainless steel reinforcement. He also explores hydrogen-related degradation in post-tensioned systems and innovative imaging techniques for infrastructure assessment. Awards: McKnight Dissertation Fellowship (2016), DOW BEST Symposium (2016), University of Michigan NextProf (2016). Teaching: Courses include Materials Engineering (Spring 2019). He is a member of the National Association of Corrosion Engineers and the International Society of Electrochemistry. Labs/Teams: Active in developing tendon imaging sensors and corrosion detection systems for infrastructure applications. Collaborates on NSF-funded research and patent innovations (e.g., US Patent 9,829,452 B2 for corrosion detection in structural tendons).