Find Academic Supervisors

• Metrology
• Measurement Engineering
• Electrical Engineering
• +3 more

Dr. Asta Meškuotienė serves as Director of the Institute of Metrology at the Faculty of Electrical and Electronics, Kaunas University of Technology (KTU). She also holds dual positions as Senior Researcher and Project SV3/83 Senior Researcher within the same institute, demonstrating her significant leadership and research contributions to metrology and measurement technologies. Dr. Meškuotienė's research spans multiple domains within technological sciences, with particular focus on: Electrical and electronic engineering (T001) Measurement engineering (T010) Metrology and measurement systems development Ultrasonic Lamb wave applications in non-destructive testing Petroleum logistics measurement integrity Legal and industrial metrology standards Her extensive publication record demonstrates expertise in developing and validating measurement systems across diverse applications. Recent work shows a strong focus on ultrasonic Lamb wave analysis for structural health monitoring, precision measurement in petroleum logistics, and advanced signal processing techniques for improving measurement accuracy. Her research bridges theoretical metrology with practical industrial applications, particularly in energy systems and manufacturing quality control. Dr. Meškuotienė leads the Metrology and Measurement Technologies research group at KTU, overseeing critical work in measurement standardization and validation. Her team develops methodologies for fuel tank calibration, vehicle speed meter verification, and textile deformation analysis, contributing significantly to both legal metrology frameworks and industrial quality assurance systems.

• Fire Safety
• Civil Protection
• Risk Assessment
• +4 more

Vladimirs Yemeļjanovs serves as Professor and leading researcher at Riga Technical University's Institute of Management and Security, where he directs the Fire Safety and Civil Protection study program. Holding a PhD in Engineering (Dr.sc.ing.), he joined RTU in 2004 after 16 years in Latvia's State Fire and Rescue Service (SFS), including roles as Deputy Chief (1986-2002) and Director of the SFS Fire Safety and Civil Protection College (2002-2004). Education: PhD in Engineering (Dr.sc.ing.) His research centers on fire safety engineering, civil protection planning, and risk assessment methodologies. Key focus areas include developing civil protection plans for local governments, building safety systems (lightning protection, smoke detectors), emergency response algorithms, and occupational safety in construction. His work consistently bridges theoretical engineering principles with practical public safety applications, particularly in Latvian infrastructure contexts. Analysis of his 15 publications from 2019-2024 reveals a strong emphasis on localized risk modeling for Latvian institutions. Recurring themes include civil protection plan development for municipalities, building safety compliance (especially in schools), industrial accident consequence assessment, and health impact evaluations. He frequently employs simulation tools like Pathfinder and fault tree analysis for practical training and risk quantification. Professor Yemeļjanovs actively leads research projects including: ERASMUS+ project for unified social security study courses (2020-2023) Environmental risk plan development for Jelgava/Sauliai cities (2018-2019) Ongoing LATAK fire safety institution evaluations (2017-present) Stearic acid combustion experiment (2023) ESF professional competence development project (2022) Benzene unloading explosion-risk calculations (2020) New firefighting technology research (2019)

• Additive manufacturing
• Dimensional testing
• Reverse engineering
• +5 more

Paolo Minetola is a Full Professor at the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin. He serves as a member of the Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing and is the contact person for the Degree Course in Technologies for the Manufacturing Industry. His research focuses on additive manufacturing, dimensional testing, reverse engineering, 3D printing, tomography, and X-ray computed tomography within the scientific disciplinary sector of Manufacturing Technologies and Systems. Professor Minetola's research interests span the entire spectrum of additive manufacturing technologies, with particular emphasis on process optimization, material characterization, and quality control. His work addresses critical challenges in industrial applications of 3D printing, including dimensional accuracy, material properties, and sustainable manufacturing practices. He has made significant contributions to the development of novel testing methodologies for additive manufacturing processes and the application of X-ray computed tomography for quality inspection in industrial settings. Analysis of Professor Minetola's recent publications reveals a strong focus on sustainable additive manufacturing practices, advanced material development for 3D printing, and process optimization techniques. His work spans multiple material systems including polymers, metals, and biocomposites, with particular attention to process-structure-property relationships. A notable trend is the integration of in-situ monitoring techniques with additive manufacturing processes to improve quality control and reduce waste. Member of the Scientific Committee - Interuniversity Research Center for Additive Manufacturing - CIRAM (2018-) Member of the Interuniversity Centers Committee (2015-2020) Professor Minetola actively supervises PhD students working on cutting-edge additive manufacturing research topics, including in-situ monitoring of 3D printing processes, sustainable polymer processing, and high-performance material development. His research is supported by both competitive regional research grants and commercial contracts with industry partners, demonstrating the practical relevance of his work to industrial applications. He is a key member of the Additive Manufacturing research group at DIGEP and contributes to the Interuniversity Research Center for Additive Manufacturing (CIRAM), fostering collaboration between academic institutions and industry partners in the field of advanced manufacturing technologies.

• Administrative Law
• Procedural Law
• Local Government Law
• +4 more

Maria Jesus Garcia Garcia is a Professor at the University of Valencia's Department of Administrative and Process Law, specializing in Administrative Law, Procedural Law, and EU governance frameworks. Her research focuses on citizen participation, local government dynamics, and urban planning regulations. 2023 : Analyzed EU citizenship services of general interest 2021 : Studied regional integration in EU decision-making 2020 : Compared direct democracy models in USA and Spain Her work bridges European standards with local implementation, emphasizing participatory democracy and regulatory consultation. Key sub-fields include municipal autonomy, electoral systems, and environmental law intersections with EU policy. Over 1996-2023, she contributed 39 journal articles, 17 collective works, and 10 books. Notable works: 'The European Electoral System' (2019), 'Council Appointed Mayors in Spain' (2016), and 'Functional Citizen Participation' (2008). Current projects address sustainable urban development and EU citizenship statutes. Her academic career spans 27 years, with foundational work on urban rehabilitation law (1997 thesis) and ongoing contributions to administrative liability, public asset regulation, and citizen engagement in policy-making.

Alex ApeagyeiView profile

Associate Professor

• Pavement Engineering
• Sustainable Transportation
• Infrastructure Resilience
• +3 more

Dr. Alex Apeagyei is an Associate Professor in the Department of Engineering & Construction at the University of East London (UEL), part of the School of Architecture Computing and Engineering. He specializes in pavement engineering, with a focus on sustainable infrastructure, asphalt materials, and the application of machine learning in transportation systems. His research bridges academic innovation and industry practice, emphasizing recycling methods and smart technologies for infrastructure resilience. Dr. Apeagyei holds a PhD in Civil Engineering and has extensive qualifications including MSc and BSc degrees in Civil Engineering. His work spans pavement distress classification using deep learning, moisture damage analysis in asphalt mixtures, and low-carbon road construction techniques. He has collaborated with organizations such as the National Co-operative Research Programme (NCHRP) and the Transportation Research Board, contributing to standards and policy development. His research interests include sustainable transport systems, intelligent transport systems (ITS), and materials characterization. He has been recognized with prestigious awards, including the Jack H. Dillard Award (2010) and the Golden Leaf Award (2011). Dr. Apeagyei also serves on expert panels for organizations like the Institute of Highway Engineers and the ASTM Committee, reflecting his leadership in advancing industry practices. Teaching responsibilities include modules on highway engineering, transportation systems, and structural engineering at both undergraduate and postgraduate levels. His research outputs emphasize practical solutions for infrastructure challenges, with a focus on machine learning applications and sustainable construction materials.

Ahmad JibreenView profile

Assistant Professor

• Trenchless technology
• Pipelines Inspections and rehabilitation
• Risks and productivity management
• +3 more

Dr. Ahmad Jibreen is an Assistant Professor in the Department of Civil, Construction Engineering, and Management at the University of Texas at Tyler. He also serves as an Adjunct Professor at the University of Texas at Arlington. His professional background includes roles as a Project Manager and Technical Support Engineer in the construction and engineering sectors. Dr. Jibreen holds a Ph.D. in Civil Engineering (Construction Engineering and Management) from the University of Texas at Arlington, a Master’s in Construction Management from the same institution, and a Bachelor's in Computer & Electrical Engineering from Mu’tah University, Jordan. His research focuses on predictive modeling for the Remaining Useful Life (RUL) of pipelines, particularly Prestressed Concrete Cylinder Pipes (PCCP), aiming to optimize inspection schedules and reduce infrastructure costs. He integrates advanced techniques like Artificial Neural Networks (ANN) and computer vision applications into his work. Key interests include trenchless technology, risk management, and innovative pipeline rehabilitation methods. Dr. Jibreen has contributed to projects such as evaluating hybrid polyurea spray-applied pipelining and studying broken wire defects in PCCP. His academic and industry experience enables him to bridge theoretical knowledge with practical construction challenges.

Colin B. SelleckView profile

Lecturer

• Robotics
• Computer Vision
• Mechatronics
• +3 more

Colin B. Selleck is a Lecturer in the Department of Mechanical Engineering at Binghamton University, where he has taught since 2006. His roles include instructing Senior Capstone Design, Robotics, Measurements and Instrumentation, and Dynamics. He holds a B.S. and M.S. in Mechanical Engineering from Louisiana State University (1978 and 1980, respectively). Professionally, Selleck spent 19 years at Sandia National Laboratories, contributing to pioneering projects such as early computer graphics interfaces for finite element analysis visualization on Cray supercomputers, robotics-based radiation inspection systems for nuclear waste containers, and 3D geometry sensors using structured light techniques. His work emphasized computer vision algorithms and safe robot motion planning in hazardous environments. After leaving Sandia in 1997, he consulted with the University of New Mexico's Manufacturing Engineering robotics lab, focusing on coordinated robot motion, grasp planning, and mobile navigation. He is a member of Tau Beta Pi and Pi Tau Sigma engineering honorary societies.

Thea Beate BrevikView profile

Associate Professor

• Cancer Screening
• HPV and Cervical Cancer Prevention
• Healthcare Provider Education
• +3 more

Thea Beate Brevik is an Associate Professor at the Faculty of Health Sciences and Social Care at Molde University College (HiMolde). She holds dual roles as Vice-Rector for Education and Chair of the Study Committee, overseeing educational policies and academic governance. Her research focuses on cancer screening, HPV prevention, healthcare provider education, and health equity for immigrant populations. Brevik earned her Ph.D. in 2022 with a dissertation on educational interventions in cancer screening, followed by a research stay at the International Agency for Research on Cancer (IARC) in Lyon, France. She has received prestigious awards for her work in cervical cancer prevention and public health dissemination, including recognition from Romsdals Budstikke and the Norwegian Nurses Organization. Her scholarly contributions span over 15 peer-reviewed articles, addressing topics like mandatory reporting of intimate partner violence and cultural barriers to healthcare access. Brevik is also a vocal advocate for minority women’s participation in cervical screening programs, emphasizing systemic reforms to address health disparities. Education: Ph.D. in Health Sciences (2022), M.Sc. in Health and Social Sciences (2018), Registered Nurse (2013) Her research interests emphasize translating evidence-based practices into actionable policies, particularly in marginalized communities. Recent projects include the MANREPORT-IPV initiative to improve healthcare provider compliance with mandatory violence reporting laws. Brevik’s work frequently highlights the intersection of healthcare inequities and cultural competence, with a focus on HPV vaccination access and cervical cancer eradication strategies. Publications reflect interdisciplinary collaboration, with frequent co-authorships on topics ranging from healthcare provider education to systemic racism in healthcare. Awards and media engagements (e.g., NRK, Romsdals Budstikke) underscore her role as a bridge between academic research and public health advocacy.

Timothy RogersView profile

Senior Lecturer

• Structural Dynamics
• Structural Health Monitoring (SHM)
• Machine Learning
• +3 more

Dr. Timothy Rogers is a Senior Lecturer in Mechanical Engineering at the University of Sheffield, affiliated with the Dynamics Research Group (DRG) within the Department of Mechanical Engineering. He holds an MEng and PhD in Mechanical Engineering from the same institution. His research focuses on applying machine learning and Bayesian statistical methods to structural dynamics problems, particularly in nonlinear system identification and Structural Health Monitoring (SHM). His work bridges theoretical advancements in probabilistic modeling and practical applications in aerospace, civil, and mechanical engineering systems. Education MEng in Mechanical Engineering, University of Sheffield PhD in Mechanical Engineering, University of Sheffield (thesis: 'Towards Bayesian System Identification: With Application to SHM of Offshore Structures') Research Interests Rogers' interests include: Bayesian statistical modeling for structural systems, machine learning for SHM, probabilistic nonlinear system identification, and joint input/state/parameter estimation. His work emphasizes integrating physics-based knowledge with data-driven techniques to improve reliability and efficiency in engineering diagnostics and predictive maintenance. Advising & Grants Rogers collaborates on projects funded by industrial and academic partnerships, including work on aircraft modal testing and offshore structure dynamics. He advises on advanced methodologies for vibration-based damage detection and has contributed to frameworks for population-based SHM and risk-informed decision-making. Labs & Teams He is part of the Dynamics Research Group (DRG), leading efforts in Bayesian system identification and machine learning applications. His team engages in interdisciplinary projects involving aerospace structures, composite materials, and advanced sensor technologies.

Elizabeth CrossView profile

Professor

• Structural Health Monitoring
• Machine Learning
• Nonlinear System Identification
• +2 more

Professor Elizabeth Cross is Faculty Director of Research & Innovation at the University of Sheffield's School of Mechanical, Aerospace and Civil Engineering. She holds an EPSRC Innovation Fellowship and co-directs the Laboratory for Verification and Validation, specializing in grey-box models for structural health monitoring. Research Interests: Focuses on developing hybrid approaches combining physics-based models with machine learning for structural assessment. Special expertise in handling environmental variations in monitoring data and nonlinear system identification. Publication Trends: Recent work emphasizes Bayesian methods and probabilistic modeling for structural dynamics, with applications ranging from bridge monitoring to manufacturing systems. Articles show strong integration of statistical learning with physical constraints.

Monique HeadView profile

Professor

• Structural Engineering
• Bridge Engineering
• Earthquake Engineering
• +3 more

Monique Head is a tenured Professor in the Department of Civil and Environmental Engineering at the University of Delaware. She is affiliated with the Center for Innovative Bridge Engineering (CIBrE), Center for Composite Materials (CCM), and Delaware Center for Transportation (DCT). With over 20 years of experience, she has managed over $5M in grants from state and federal agencies. Education: PhD in Civil (Structural) Engineering from Georgia Institute of Technology; MS and BS in Civil Engineering from the University of Delaware. PhD: Georgia Institute of Technology MS: University of Delaware BS: University of Delaware Research focuses on bridge evaluation using vision-based measurements, earthquake engineering, and flood/salinity impacts on infrastructure. She chairs the Transportation Research Board’s Seismic Design and Performance of Bridges Committee (AKB50). Her work spans structural monitoring, material innovation, and disaster resilience. Recent articles explore hurricane-induced loadings, corrosion-resistant materials, and multi-robot inspection systems. Labs/Teams: CIBrE, CCM, DCT Grants: Over $5M in federal/state funding

• Structural Engineering
• Civil Engineering
• Structural Health Monitoring
• +3 more

B F Spencer is a Professor and the Nathan M. and Anne M. Newmark Endowed Chair in Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. His research focuses on structural health monitoring, smart sensors, vibration control, and material fatigue analysis. He leads initiatives in integrating AI and edge computing for real-time infrastructure assessment, with applications in earthquake engineering and railroad bridge safety. Education details are not explicitly provided, but his work spans over 600 publications and includes collaborations across civil engineering disciplines. Key research areas include wireless sensor networks, fatigue testing of miter gates, and digital twin frameworks for post-disaster inspections. His articles emphasize advancements in AI-driven structural monitoring, such as adaptive edge intelligence for rapid condition assessment and deep learning-based seismic damage quantification. Notable contributions include frameworks for UAV localization and physics-informed neural networks. Awards: ASCE Distinguished Member (2023), George W. Housner Medal (2015), Nathan M. Newmark Medal (2018), University of Tokyo Fellow (2023) Grants & Funding: Details not specified, but his research involves full-scale testing facilities and multi-institutional collaborations. Labs/Teams: Active in sensor network development and structural resilience initiatives, though specific lab names are not mentioned.

• Nanotechnology
• Materials Science
• Thermal Transport
• +10 more

William P. King is a Professor and Ralph A. Andersen Endowed Chair at the University of Illinois Urbana-Champaign, with appointments in Mechanical Science and Engineering, Electrical and Computer Engineering, and Materials Science and Engineering. He is affiliated with the Carle Illinois College of Medicine. His research focuses on nanotechnology, advanced materials, thermal transport, and manufacturing innovations. King holds 23 U.S. patents and has co-founded companies like Fast Radius and Hoowaki LLC. Education: Ph.D. in Mechanical Engineering (Stanford University, 2002), M.S. (Stanford, 1998), B.S. (University of Dayton, 1996). Academic roles include Professor at UIUC (2010–present), Associate Professor at Georgia Tech (2007–2010), and postdoctoral research at Stanford and IBM Zurich. Research Interests span nanotechnology, thermal systems, additive manufacturing, and biomedical applications. His lab, the Nanoengineering Laboratory, develops translational technologies across science, commerce, and engineering. Key areas include phase-change materials for thermal management, microfluidic diagnostics, and advanced heat exchangers. Publications highlight innovations in thermal management, additive manufacturing, and nanostructured materials. Awards include ASME’s Gustus-Larson Award, PECASE, and multiple R&D 100 Awards. King advises a team of 10 Ph.D. students and collaborates with industry through MxD and Fast Radius. Labs/Teams: Nanoengineering Laboratory, affiliated with UIUC’s departments and industry partners. Current projects focus on dynamic thermal systems, wearable electronics, and AI-driven manufacturing quality assurance.

• Sustainable Urban Development
• Energy Efficiency in Buildings
• Cultural Heritage Conservation
• +4 more

Umberto Mecca is a Researcher at the Politecnico di Torino, affiliated with the Interuniversity Department of Territorial Sciences, Projects and Policies and the Department of Structural, Building and Geotechnical Engineering. His work focuses on sustainable urban development, energy efficiency in buildings, and cultural heritage conservation. He has contributed to over 26 publications and actively participates in teaching roles related to investment analysis and urban transformations. Education: PhD in Resilience of Architectural Heritage (2024), supervised by Elena Fregonara and Francesco Prizzon. Prior academic and professional background includes research on digital twins, UAV applications, and policy evaluation for sustainable infrastructure. Research Interests: Integration of BIM and GIS for maintenance management, UAV-based building inspections, tax incentive policies for energy retrofitting, and resilience strategies for vulnerable territories. His work emphasizes interdisciplinary approaches, knowledge management, and the application of innovative tools like digital twins and augmented reality. Publications highlight trends in sustainable urban policies, cultural heritage preservation through maintenance frameworks, and the financial impacts of incentives like the Superbonus tax. Recent studies address fragile mountain contexts and the economic viability of energy-efficient building retrofits. Grants and Collaborations: Engaged with Fondazione Compagnia di San Paolo and Cassa di Risparmio di Cuneo Foundation on projects like the PRIMA call and cultural heritage funding initiatives. Active in collaborative networks for policy development and capacity building in Piedmont and Liguria regions. Labs/Teams: Part of the R3C research group at Politecnico di Torino, focusing on resilience and conservation planning. Involved in interdisciplinary teams for digital twin implementation and territorial vulnerability analysis.

• Structural Engineering
• Civil Engineering
• Risk-Based Asset Management
• +9 more

Marios Chryssanthopoulos is a Professor of Structural Systems at the University of Surrey, affiliated with the School of Sustainability, Civil and Environmental Engineering. His academic journey includes a BSc from the University of Newcastle, an MS from MIT, and a PhD from Imperial College London. He has held roles such as Director of the Engineering Materials and Structures Research Centre and Head of the Division of Civil, Chemical and Environmental Engineering. His research focuses on structural reliability, risk-based asset management, and probabilistic modeling in infrastructure systems. Research interests include the influence of uncertainties in structural performance, corrosion effects on metallic structures, and integration of structural health monitoring (SHM) with decision-support tools. He has supervised over 25 PhD students and collaborated with industry on projects like fatigue life prediction of bridges and offshore structures. Funding sources include EPSRC, the EU, and industry partners. Teaching responsibilities include courses on structural safety, bridge management, and advanced composites. His work extends to editorial roles for journals like Structural Safety and participation in national codification committees (e.g., UK SCOSS, Eurocode 3 Drafting Panel). Key contributions include methodologies for corrosion detection in tubular structures, probabilistic frameworks for fatigue assessment, and frameworks enhancing building robustness through segmentation. His experimental work spans structural dynamics, material degradation, and consequence analysis of failures.