Find Academic Supervisors

• Computational Fluid Dynamics
• Turbulence Modelling
• Multiphase Flows
• +6 more

Dr. Zhihua Xie is a Reader in the School of Engineering at Cardiff University. He holds a PhD in Computational Fluid Dynamics from the University of Leeds, funded by the Marie Curie EST Fellowship. His career includes research roles at Cardiff University and Imperial College London. His research focuses on computational fluid dynamics, multiphase flows, and environmental fluid mechanics, supported by grants from EPSRC, Royal Society, and others. He has been awarded the Alexander von Humboldt Research Fellowship and multiple Baker Medals. Education: BEng in Environmental Engineering (Dalian Maritime University, 2003), Postgraduate study in Hydrodynamics (Dalian Maritime University, 2006), PhD in CFD (University of Leeds, 2010). Research interests span development and application of CFD codes for multiphase flows, turbulence modelling, and numerical methods. He is actively involved in editorial boards and professional societies like IAHR and ISOPE. Key contributions include adaptive moment-of-fluid methods, Cartesian cut-cell techniques, and large-eddy simulations. Awards include the Alexander von Humboldt Fellowship (2023), Baker Medal (2021, 2022), and EPSRC funding for wave energy converter modeling (EP/V040235/1). Grants and projects include ARCHER2 eCSE, Newton Advanced Fellowship, and collaborations on coastal engineering and offshore energy systems. His work addresses challenges in wave-structure interaction, fluid-structure dynamics, and environmental hydraulics.

• Wind Energy Technology
• Lidar-Assisted Control
• Floating Offshore Wind Turbines
• +3 more

David Schlipf is a Professor at the Fachbereich Energy and Life Science, Hochschule Flensburg, leading the Wind Energy Technology Institute. His expertise spans lidar-assisted control systems, floating offshore wind turbines, and aeroelastic modeling. He actively collaborates with international initiatives like IEA Wind Task 32 and contributes to projects such as the 'Lidar Knowledge Europe (LIKE)' network. His research focuses on enhancing wind turbine efficiency through advanced control strategies and sensor technology integration. He has been instrumental in developing the TorqTwin open-source framework for multibody modeling and has published extensively on topics including wind field reconstruction, load mitigation, and floating platform dynamics. His work bridges academic research with industrial applications, emphasizing practical solutions for offshore wind energy challenges. Notable projects include the evaluation of lidar-assisted control performance, optimization of floating turbine designs, and contributions to wind energy education's role in climate resilience. His research outputs span over 200 publications, highlighting his global impact in advancing renewable energy systems.

Luis AmaralView profile

Associate Professor

• Information Systems
• Public Administration
• E-Government
• +3 more

Luis Amaral is an Associate Professor at the School of Engineering, University of Minho, where he has served since 1998. He holds a PhD in Computer Science (Information Systems) from the University of Minho (1995) and has extensive experience in teaching, research, and administrative leadership. His research focuses on Information Systems in social and organizational contexts, particularly in public administration, with over 400 publications including books, journal articles, and conference papers. Key roles include Vice-Rector for Organizational Transformation and Administrative Simplification, Director of the Information Systems Department (2005–2006, 2010–2012), and leadership in projects like the Virtual Campus (e-UM). He has held numerous administrative positions, including President of the School of Engineering’s Council (2013–2016) and Pro-Rector (2006–2009). His work emphasizes e-government, digital transformation, and public procurement systems. Recent research trends include digitalization of public services, regulatory compliance (e.g., GDPR in higher education), and optimization of renewable energy systems. He has contributed to international initiatives such as the ICEGOV conference and projects in Mozambique and Timor-Leste. His publications highlight innovation in administrative processes, citizen engagement, and institutional digital readiness. Luis Amaral has coordinated postgraduate programs, including the Master’s in Information Systems (2001–2002, 2016–2017), and led research centers like IDITE Minho. His career reflects a balance between academic rigor and practical impact in technology-driven governance and organizational change.

Matt BonneyView profile

Lecturer

• Digital Twins
• Nonlinear Structural Dynamics
• Mechanical Joint Modelling
• +4 more

Dr. Matt Bonney is a Lecturer in Space Engineering at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering. He holds a position in the Department of Aerospace Engineering and is actively involved in postgraduate supervision. His research focuses on digital twin technology, nonlinear structural dynamics, mechanical joint modeling, seismic reliability, and uncertainty quantification, with recent emphasis on digital twin security and thermo-mechanical coupling in assembled structures. Dr. Bonney's expertise spans multi-physics joint modeling and multi-disciplinary development of digital twins, with international collaborations. He teaches modules such as 'Advanced Space Systems' (EG-M334) and 'Aerospace Systems' (EGA220), emphasizing space system design, orbital mechanics, and cyber-physical security. His research highlights include the development of a Python Flask-based digital twin operational platform, contextualization of information in digital twin processes, and experimental studies on frictional interfaces. His work on uncertainty quantification and seismic reliability has applications in nuclear reactor systems and civil engineering structures. Dr. Bonney currently supervises a PhD student focusing on nonlinearities in thermal-mechanical joints. His research outputs include over 30 peer-reviewed publications, with contributions to journals like Mechanical Systems and Signal Processing and Data-Centric Engineering .

• Earthquake Site Response
• Ground-Motion Modeling
• Seismic Building Codes
• +3 more

Dr. Paolo Bergamo is a Senior Researcher at the Swiss Seismological Service (SED), ETH Zurich, since April 2016. He specializes in engineering seismology, focusing on earthquake site response models, ground-motion modeling, and seismic risk assessment. His work includes projects such as the Earthquake Risk Model Switzerland (ERM-CH23) and the SERA Horizon2020 initiative. He holds a PhD in Earth Sciences from Politecnico di Torino (2012) and advanced degrees in Environmental Engineering. Key research areas include soil amplification analysis, geophysical surveys, and the integration of empirical and computational methods for seismic hazard mitigation. His contributions span microzonation studies, site characterization using borehole and ambient vibration data, and the development of design-compatible waveforms for Swiss building codes. Education: PhD in Water and Territory Management Engineering, Politecnico di Torino (2012) MSc and BSc in Environmental Engineering, Politecnico di Torino (2008, 2005) Research Interests: Dr. Bergamo’s work emphasizes the collation of empirical ground-motion data with building codes, spatial modeling of soil amplification, and geophysical site characterization. He employs advanced techniques like surface-wave analysis, machine learning, and canonical correlation for seismic hazard assessment. Projects & Grants: ERM-CH23: Site response implementation and national seismic risk modeling SERA Project (Horizon2020): Site characterization indicators Swiss Federal Office for Environment-funded studies on microzonation and geophysical monitoring Labs & Teams: Active contributor to the Engineering Seismology group at SED, leading efforts in alpine valley seismic modeling and offshore site characterization in Lake Lucerne.

• Multiphase Flow
• Turbulence
• Experimental Fluid Dynamics
• +3 more

Dr. Yinghe Qi is a Professor in the Department of Experimental Fluid Dynamics at ETH Zürich, Switzerland. His research focuses on multiphase flows, turbulence, and free-surface dynamics, with applications in aerospace, marine engineering, and computational fluid dynamics. He has contributed extensively to understanding bubble dynamics, flow instabilities, and turbulence modulation through experimental and phenomenological studies. Research Interests: Dr. Qi’s work addresses complex phenomena in multiphase flow instabilities free-surface turbulence deformable bubble dynamics supersonic jet interactions vortex-induced fragmentation machine learning in fluid dynamics Recent Publications: His recent studies (2023–2025) explore multiscale bubble deformation, free-surface turbulence structure, and supersonic jet-plume interactions. Key themes include turbulent fragmentation, vortex-bubble coupling, and novel computational methodologies. Laboratory Affiliations: He collaborates with the Coletti Group, Jenny Group, and Supponen Group at ETH Zürich, advancing experimental and computational techniques in fluid dynamics.

Sithik AliyarView profile

Researcher

• Wind Energy
• Computational Fluid Dynamics
• Offshore Engineering
• +3 more

Sithik Aliyar is a Postdoctoral Researcher at the Department of Wind and Energy Systems, Flows Wind Turbine Design Division, at the Technical University of Denmark (DTU). He specializes in computational fluid dynamics (CFD) and offshore wind turbine dynamics, focusing on wave interactions with floating structures. Institution: Technical University of Denmark (DTU) Department: Flows Wind Turbine Design Division, Wind and Energy Systems Research Focus: Floating wind turbines, extreme sea states, harmonic separation, and numerical algorithms His work combines advanced CFD simulations with experimental validation to analyze floating wind turbine stability under directional waves. Recent contributions include the FloatStepper algorithm for robust wave response modeling and studies on SPAR platform upending risks. Publications highlight collaborations with experts like H. Bredmose and J. Roenby, with research outputs spanning Renewable Energy , Royal Society Open Science , and international conferences on ocean engineering. Key metrics include open-access citations, computational fluid dynamics, and floating wind turbine dynamics.

Chris F. KemererView profile

Professor

• Management of Information Systems
• Software Engineering
• Measurement and Modeling
• +2 more

Chris F. Kemerer is the David M. Roderick Professor of Information Systems and Professor of Business Administration at the University of Pittsburgh's Katz School. He previously served as an associate professor at MIT Sloan School of Management and as a principal at American Management Systems Inc. PhD in Systems Sciences (Information Systems), Carnegie Mellon University BS (magna cum laude) in Economics and Decision Sciences, Wharton School, University of Pennsylvania His research spans management and measurement issues in information systems and software engineering, including technical debt, software metrics, network effects, and technology adoption. He has made significant contributions to software design metrics and empirical analysis of IT markets. His publications over the last 15 years emphasize technical debt management, software reliability, standards competition, and economic dynamics in microcomputer software. These works bridge software engineering economics with real-world applications in enterprise systems and global markets. ISI/Thomson Reuters Highly Cited Researcher in Computer Science INFORMS Information Systems Society Distinguished Fellow He has secured grants from the National Science Foundation and IBM for software evolution research. His consulting includes expert testimony in landmark cases like Microsoft antitrust litigation and Oracle v. Google. He has taught courses in economics of information systems, software design, and technology diffusion at the PhD, Executive DBA, MBA, and EMBA levels.

• Maritime Engineering
• Digital Twin Technology
• Marine Robotics
• +3 more

Hans Petter Hildre is Head of Department at the Department of Ocean Operations and Civil Engineering , part of the Faculty of Engineering at the Norwegian University of Science and Technology (NTNU). His work focuses on maritime engineering, digital twin technology, and marine operations. Research interests include: Digital Twin Applications in Maritime Industry Offshore Operations and Wind Turbine Installation Marine Robotics and Autonomous Systems Wave Field Estimation and Environmental Load Analysis Human-Machine Interaction in Maritime Contexts Co-simulation and Real-time Monitoring Recent publications highlight trends in: Wave shielding effects for offshore vessels Knowledge transfer from automotive/aviation to maritime Crane path planning using digital twins Visual attention zone recognition systems Hydrodynamic modeling and sensitivity analysis Smart city-maritime integration Scientific collaborations span institutions including: European Commission (Future Skills Reports) Royal Institution of Naval Architects The American Society of Mechanical Engineers (ASME) IEEE Transactions on multiple domains Springer Publishing

Andrew J. GoupeeView profile

Professor

• Floating offshore wind technology
• Numerical methods
• Model testing
• +3 more

Andrew J. Goupee serves as the Donald A. Grant Professor of Mechanical Engineering at the University of Maine's Maine College of Engineering and Computing. His office is located in Room 243 of the Ferland Engineering Education and Design Center, and he can be reached at (207) 581-3657 or agoupe91@maine.edu. Dr. Goupee earned his Ph.D. in Mechanical Engineering from the University of Maine in 2010. He maintains significant external engagements as a Visiting Professional at the National Wind Technology Center and Cooperating Faculty at the Advanced Structures and Composites Center. His research program focuses on advancing floating offshore wind technology through: Numerical methods for floating offshore structures Experimental model testing of floating platforms Structural optimization techniques Multiscale methods for heterogeneous materials Dr. Goupee's scholarly work shows a clear progression toward increasingly complex floating wind turbine systems, with emphasis on experimental validation of numerical models and the integration of control systems. His research spans fundamental hydrodynamic principles to full-scale demonstration projects. His research is supported by major funding agencies including the Department of Energy (DOE), National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), and Maine Technology Institute (MTI). Key projects include the FOCAL and NASA Floater ATLANTIS projects, the DOE ARPA-E Aqua Ventus I floating wind turbine demonstration, and development of the W 2 offshore wind-wave generation system. Dr. Goupee teaches core mechanical engineering courses including Dynamics, Mechanical Vibrations, Wind Energy Engineering, and Capstone Design sequences. He is an active member of professional organizations including ASME and ISOPE, contributing to the advancement of offshore engineering standards and practices.

Fabio PierellaView profile

Associate Professor

• Offshore Wind Energy
• Fluid Dynamics
• Structural Engineering
• +3 more

Fabio Pierella is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Wind and Energy Systems Flows, specializing in Wind Turbine Design Division. His research focuses on offshore wind energy systems, fluid dynamics, and structural engineering. He has contributed to projects like OC6 Phase IV and the DeRisk database, validating numerical models for floating offshore wind structures and extreme wave loads. Key research interests include computational fluid dynamics (CFD), hydrodynamic load modeling, and the design of large-scale floating wind turbines. His work spans numerical simulations, experimental validation, and database development for extreme sea states. Pierella has presented at international conferences on topics like wave-structure interaction and turbine control systems. He received the Best Poster Presentation Award (2024) and contributed to datasets such as the DeRisk Database, which provides critical wave data for offshore wind turbine design. His research emphasizes practical applications, including monopile structural integrity under extreme loads and control strategies for floating platforms. Pierella's activities include conference presentations on ultra-large floating turbines (EMULF2 project) and the impact of wave shape on 15MW turbine loads. His interdisciplinary approach integrates computational models with experimental results to address challenges in offshore renewable energy systems.

Gareth PierceView profile

Professor

• Robotics
• Non-Destructive Testing & Evaluation (NDT&E)
• Ultrasonics
• +7 more

Professor Gareth Pierce is a leading academic at the University of Strathclyde, serving as Co-Director of the Centre for Ultrasonic Engineering and Academic Director of the UK Research Centre in Non-Destructive Evaluation (RCNDE). He specializes in robotics, autonomous systems, and non-destructive evaluation (NDT&E), with a focus on structural health monitoring (SHM) and advanced manufacturing. His work integrates robotics, AI, and ultrasonics to address challenges in aerospace, energy, and healthcare sectors. He holds a Spirit Aerosystems/Royal Academy of Engineering Research Chair and leads the £50M SEARCH (Sensor Enabled Automation, Robotics & Control Hub), which spans manufacturing and asset management applications. Education: BSc (Hons) in Pure and Applied Physics from the University of Manchester (1989), PhD in Fibre-Optic Interferometers for Laser-Generated Ultrasound from UMIST (1993). Additional qualifications include City & Guilds certifications in electrical installations and a PGDip in Psychological Wellbeing. Research Priorities Autonomous robotic inspection for manufacturing and asset management Integration of AI/machine learning with NDT&E systems In-process inspection for additive manufacturing and welding Ultrasonic and guided wave technologies for defect detection Key Achievements 2023 Anne Birt Award for NDT innovation Leadership roles in SRPe Robotics & UK HVM Catapult initiatives Over 270 research outputs, 86 projects, and a £50M research portfolio Teaching Course organiser for EE312 (Instrumentation & Microcontrollers) and contributes to advanced systems engineering education. Supervises student projects across engineering disciplines. Labs & Collaborations SEARCH Hub operates from Royal College R2.41 (manufacturing applications) and Technology Innovation Centre TIC 7.14 (asset management). Collaborates with global industry partners like Spirit Aerosystems and Högskolan Väst (Sweden).

• Computational Mechanics
• Machine Learning
• Finite Volume Method
• +7 more

Philip Cardiff is a Professor in Computational Mechanics at the School of Mechanical and Materials Engineering, University College Dublin. He holds a BE (2008) and PhD (2012) in Mechanical Engineering from UCD. His research focuses on computational mechanics, machine learning, and their integration, with expertise in finite volume methods, fluid-solid interaction, and biomechanics. He leads the Bekaert University Technology Centre and contributes to editorial roles in the Journal of Open Source Software and OpenFOAM Journal . Cardiff has secured grants from ERC, I-Form, and the UCD Energy Institute, addressing challenges in offshore energy, advanced manufacturing, and cardiac xenotransplantation. Education: BE in Mechanical Engineering, University College Dublin (2008) PhD in Development of the Finite Volume Method for Hip Joint Analysis, University College Dublin (2012) Professional Diploma in University Teaching & Learning, University College Dublin Research Interests: Computational mechanics, finite volume methods, and machine learning integration Fluid-solid interaction, biomechanics, and materials science Applications in additive manufacturing, energy systems, and biomedical engineering Grants & Awards: ERC Consolidator Grant (2020–2025) Funded Investigator in I-Form and UCD Energy Institute Principal Investigator in UCD Centre for Biomedical Engineering Teaching & Leadership: Programme Director for MEngSc in Materials Science and Engineering (2018–2023) Coordinates modules in computational mechanics and advanced materials processing Advocates constructivist teaching approaches with active learning strategies Labs & Collaborations: UCD Centre for Mechanics Bekaert University Technology Centre MaREI and I-Form Research Centres

• Structural Geology
• Tectonics
• Fault Zone Dynamics
• +4 more

Dr. Conrad Childs is an Assistant Professor/Lecturer in Structural Geology at University College Dublin (UCD), School of Earth Sciences. He holds a PhD from the University of Liverpool (2000) and has held roles including Senior Research Fellow at UCD's Fault Analysis Group (2000–2009) and Research Fellow at the University of Liverpool (1997–2000). His research focuses on fault zone dynamics, basin evolution, and structural geology with emphasis on offshore Ireland. Key interests include fault geometry, hydraulic properties, numerical modeling, and tectonostratigraphic evolution of sedimentary basins. Education: BSc Geology, University College Cork (1985) MSc Structural Geology & Rock Mechanics, Imperial College London (1986) PhD, University of Liverpool, 'The structure and hydraulic properties of fault zones' (2000) Research Interests: 3D geometry and evolution of faults Basin analysis and offshore Ireland's structural evolution Fault seal capacity and hydraulic properties Integration of deep learning with seismic interpretation Impact of basement fabrics on basin development Teaching: Coordinates modules such as 'Applied Structural Geology,' 'Field Geology Level 1,' and 'Geoscience Research Project,' emphasizing hands-on structural analysis and fieldwork. Grants: Led the PRTLI 5 grant (2011–2016) supporting PhD research in Earth Sciences. Active in collaborative projects addressing fault reactivation risks and subsurface storage potential. Awards: No specific awards listed, though his extensive publications highlight sustained research excellence. Labs & Collaboration: Part of UCD's Fault Analysis Group, contributing to interdisciplinary studies on fault zone mechanics and basin evolution.

Ang Kok KengView profile

Associate Professor

• Structural Stability and Vibration
• Smart Adaptive Structures
• Computational Mechanics
• +5 more

K.K. Ang is an Associate Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS) Faculty of Engineering. He has been affiliated with NUS since 1987 and currently serves as Director of the Centre for IT and Applications (CITA Engineering) within the Faculty of Engineering. Qualifications: BEng (1st Class) from University of Singapore (1977) MEng from National University of Singapore (1980) PhD from University of New South Wales (1987) His research focuses on structural stability and vibration , smart adaptive structures , very large floating structures , computational mechanics , and meshless methods . Recent publications analyze carbon nanotube composites, high-speed rail dynamics, and offshore structural interactions. His awards include the NUS Teaching Excellence Award , Engineering Educator Award , and the IES/IStructE Best Structural Paper Award . He has taught courses in Computing, Structural Mechanics, Steel Design, and Finite Element Methods. Professor Ang is a Singapore-registered Professional Engineer (1991) and serves on the Singapore Structural Steel Society council. His work bridges structural engineering, IT applications, and advanced computational modeling.