Find Academic Supervisors

Andrea Meilán-VilaView profile

Assistant Professor

• Nonparametric Estimation
• Directional Statistics
• Kernel Smoothing
• +3 more

Andrea Meilán-Vila is an Assistant Professor in the Department of Statistics at Universidad Carlos III de Madrid since 2021, holding a Juan de la Cierva Fellowship since 2023. She earned her PhD in Statistics from Universidade da Coruña (2021) and previously served as a Postdoctoral Fellow at Universidade de Santiago de Compostela's Department of Statistics, Mathematical Analysis and Optimisation. Her research focuses on nonparametric methods for analyzing complex data types, including directional, spatial, and functional data. Key areas include kernel smoothing techniques, goodness-of-fit testing for regression models, and spatial trend estimation. She serves as an Associate Editor for the Journal of Nonparametric Statistics . Recent work emphasizes applications in climate science (temperature curve modeling), fluid dynamics (wake flow control), and biomedical imaging (hippocampus shape analysis). Her methodologies address challenges like sparse data estimation and spatial correlation in regression frameworks. Key Projects: STENED (Stein-based goodness-of-fit tests for non-Euclidean data) Awards: Juan de la Cierva Fellowship (2023) Publications span journals like Journal of Fluid Mechanics , Statistical Papers , and TEST , with a focus on methodological advancements in statistical modeling and computational validation.

David ToalView profile

Associate Professor

• Design optimisation & automation
• Machine learning & deep learning
• Computer aided design
• +3 more

Dr. David Toal is an Associate Professor at the University of Southampton, specializing in the application of machine learning techniques to aerospace system design optimization. His research focuses on automated geometry creation, prediction of simulation outputs, and fundamental machine learning advancements. He is affiliated with the Computational Engineering and Design Group and the Institute for Life Sciences. His teaching interests include engineering design methods, optimization, reliability, and CAD integration. He supervises multiple PhD students in areas such as aerodynamic geometry generation and structural design automation. Dr. Toal has led projects funded by the European Union and EPSRC, including E-Break (FP7) and equipment grants for advanced computational tools. His work emphasizes multidisciplinary collaboration, leveraging CAD systems and deep learning for applications in advanced aerial mobility and turbine optimization. Recent publications highlight advancements in Kriging models, adversarial auto-encoders, and semantic segmentation for engineering design. Dr. Toal's research bridges computational methods with practical aerospace challenges, aiming to accelerate design processes through data-driven and AI-enhanced approaches.

• Materials Science
• Finite Element Analysis
• Mineral Processing
• +7 more

Ali Karrech is a Professor at the University of Western Australia (UWA), affiliated with the School of Engineering and the Department of Civil, Environmental and Mining Engineering (CEME). He previously held roles as Senior Research Scientist at CSIRO (until 2012) and Assistant Professor at the Petroleum Institute of Abu Dhabi (2007–2009). His expertise spans materials science, geomechanics, mineral processing, and sustainable resource engineering. He serves as Graduate Research Coordinator in CEME and has led the Structures Laboratory (2015–2016). Education: He holds a Higher Doctorate (Habilitation) in Engineering Sciences from École Normale Supérieure Paris-Saclay (2014), a PhD in Structures and Materials from École des Ponts ParisTech (2008), and a Multidisciplinary Master's from Tunisia Polytechnic School (2001). Research Interests: Focus on computational geomechanics, resource engineering (surface mining, in-situ leaching), mineral processing (hydrometallurgy), waste repurposing, and thermal-hydraulic-mechanical-chemical coupling. His work aligns with UN Sustainable Development Goals related to education, energy, and the built environment. Awards: Recognitions include the School of Engineering Teaching Excellence Award (2021), Prize of Best Paper in Concrete Research (2021), and CEEC High Commendations (2023). His research has produced over 194 publications and 20 grants. Teaching: Coordinates units like Engineering Materials (ENSC1004), Finite Element Method (GENG5514), and Surface Mining (MINE4503). Engages in interdisciplinary projects, including the ARC Training Centre in Critical Resources and the FBI-CRC for Future Batteries.

Deborah Do-Rosario-BenrosView profile

Senior Lecturer

• Design and Computation
• Shape Grammars
• Mass Customisation
• +5 more

Dr. Deborah Do-Rosario-Benros is a Senior Lecturer in Technical Studies and Representation at the University of East London (UEL), serving as a Cluster Leader in the Department of Architecture & Visual Arts within the School of Architecture, Computing and Engineering. She is a UK-registered architect (ARB/RIBA) with advanced research expertise in computational design methodologies. Educational Background: Doctorate from University College London (The Bartlett School) Master's in Architecture from the University of Lisbon Visiting student at Massachusetts Institute of Technology (MIT) Her research focuses on Design and Computation , Shape Grammars , and Mass Customisation in architecture. Recent work explores 3D printing , robotic manufacturing , and modular design for sustainable housing solutions. Research Publications Trends: Her 2024-2023 articles analyze computational frameworks like multilingual shape grammars, apply robotic construction to micro-housing, critically review 3D printing in large-scale construction, and investigate modular systems using bent metal pipes and space-filling solids. Collaborative co-design with AI and participation in international competitions like the Orange County Sustainability Decathlon are recurring themes. Professional Experience: Prior roles include teaching at the University of Lisbon, visiting faculty at Cornell University, and professional practice at architectural firms Foster and Partners and Arup. She has presented at major conferences including SIGraDi, ZEMCH, and SEEDS. Labs and Teams: As Cluster Leader at UEL, she coordinates research efforts in architecture and computational design, collaborating with institutions like MIT and Cornell.

Derk H. BosView profile

Academic

• 3D Concrete Printing
• Additive Manufacturing
• Quality Control Engineering
• +3 more

Derk H. Bos is a postdoctoral researcher in the Department of the Built Environment at Eindhoven University of Technology (TU/e), specialising in 3D concrete printing and quality control engineering. He completed his MSc cum laude in 2019 and defended his PhD dissertation in October 2024, both at TU/e. Education MSc in Structural Engineering and Design, Eindhoven University of Technology (cum laude, 2019) PhD in Concrete Structures, Eindhoven University of Technology (2024) Research Interests Derk’s research integrates additive manufacturing, materials science, and process engineering to advance 3D concrete printing. He develops parametric mortar design methodologies, rheological models for mixing and pumping, and novel in-line quality-control tests. His work addresses the challenges of ensuring structural integrity and process reliability in large-scale digital construction. Key focus areas include: – Rheology and yield stress optimisation of printable cementitious composites – Real-time monitoring techniques such as dye-tracer and gravity-induced compression tests – Multi-scale quality assessment from material to structural level Scientific Awards Digital Concrete Conference – Best Paper Award (2022) Service & Collaboration Since 2019, Bos chairs the PhD Network Civil Engineering, fostering early-career researcher engagement. He co-organised the Second RILEM International Conference on Concrete and Digital Fabrication in 2020, strengthening international collaboration in digital construction. Labs & Teams He is embedded within the Concrete Structures chair of the Unit Structural Engineering and Design, working closely with the TU/e 3D Concrete Printing research group led by Prof. Theo Salet and Dr. Rob Wolfs.

Justin PearsonView profile

Associate Professor

• Constraint Programming
• Combinatorial Optimisation
• Artificial Intelligence
• +7 more

Justin Pearson is an Associate Professor at the Department of Information Technology; Division of Computing Science at Uppsala University . He is a member of the university's optimisation group and coordinates the IT department's mentor programme for new employees . Research Interests include Constraint Programming , Combinatorial Optimisation , Artificial Intelligence , Software Testing , and Complexity Theory . His work focuses on theoretical and practical aspects of constraint satisfaction, local search algorithms, and symmetry breaking in constraint programming. Teaching involves courses such as Algorithms and Data Structures II (1DL231) and Introduction to Machine Learning for Bachelor Students (1DL034), with a PhD-level course on Category Theory offered periodically based on demand. Scientific Contributions span publications in constraint programming for air traffic management, sensor networks, and industrial applications. Recent work includes parameterised treewidth in constraint models, time-series constraints, and symmetry breaking techniques. Students supervised include PhD candidates Frej Knutar Lewander (co-supervised with Pierre Flener), Yi Zhao (co-supervised with Di Yuan), and previously graduated students Gustav Björdal , María Andreína Francisco Rodríguez , and Joseph Scott .

• Hysteresis
• Control Systems
• Structural Engineering
• +3 more

Fayçal Ikhouane is a Professor at the Department of Mathematics , Universitat Politècnica de Catalunya (UPC-BarcelonaTech) , affiliated with the School of Engineering of Barcelona East (EEBE) . His academic career spans over two decades, focusing on hysteresis modeling, nonlinear control, and system identification. University: Universitat Politècnica de Catalunya (UPC-BarcelonaTech) School: School of Engineering of Barcelona East (EEBE) Department: Department of Mathematics Email: faycal.ikhouane@upc.edu Research Interests revolve around hysteresis and its applications in structural engineering, mechatronics, and control systems. His work includes: Theoretical analysis of hysteresis models (Bouc-Wen, Duhem, LuGre) Adaptive backstepping control for nonlinear systems Parametric identification of uncertain systems Seismic isolation and vibration control Applications to piezoelectric and magnetorheological actuators Article Trends show a consistent focus on mathematical modeling of hysteresis (46 indexed journal articles), control algorithms (58 conference papers), and structural health monitoring. His 2017-2022 publications emphasize asymmetric hysteresis, data-driven identification, and Lyapunov-based stability analysis. Scientific Awards : Premi extraordinari de doctorat 2006/2007 (Industrial Engineering) Advising : Supervised Fuad Mohammad Naser 's PhD thesis on hysteresis model consistency. Active in the OMGRAPH - Optimisation Methods on Graphs and CoDAlab - Control, Data and Artificial Intelligence research groups.

• Performance Appraisal
• Data Envelopment Analysis
• Network DEA
• +5 more

Don Galagedera is a Senior Lecturer in the Department of Econometrics and Business Statistics at Monash University's Faculty of Business and Economics. He is actively engaged in research and teaching, with a focus on performance evaluation and efficiency analysis in financial contexts. Research Interests: His primary research areas include Performance Appraisal, Data Envelopment Analysis (DEA), Network DEA, and Asset Pricing. He applies advanced quantitative methods to assess the efficiency of managed funds, superannuation funds, and sports clubs, often incorporating risk, governance, and investor sentiment into performance models. The recent publications show a strong trend in developing and applying DEA and network DEA models to financial and managerial problems, particularly in fund performance, two-stage processes, and efficiency decomposition. His work bridges econometrics, finance, and operations research, with applications in investment management and organizational efficiency. Scientific Activities: Active peer reviewer for publishers including Elsevier, Wiley-Blackwell, and Charles University in Prague (2014–2015). Editorial responsibilities in academic publishing. Teaching: He teaches optimization courses such as ETF3480 and ETF5480 (Optimisation for Managers) and ETF5650 (Business Optimisation Skills), integrating his research into practical decision-making tools for students. Advising and Grants: While specific details on students and grants are not available in the provided text, his supervision interests include investment performance appraisal and asset pricing, suggesting active involvement in postgraduate research. No grant information is mentioned. Labs and Research Teams: Though no specific lab or research group is named, his collaborative work and network indicate engagement with researchers in econometrics, finance, and operations research, particularly in efficiency modeling and financial performance analysis.

Michael Kenneth McWilliamView profile

Researcher

• Wind Turbine Engineering
• Design Optimization
• Rotors
• +5 more

Michael Kenneth McWilliam is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in wind energy systems engineering. His work focuses on advanced design methodologies, optimization techniques, and innovative solutions for wind turbine and airborne wind energy systems within the Wind Energy Systems Division. His primary research domains include Wind Turbine Engineering (100% fingerprint relevance), Design Optimization (47%), and Airborne Wind Energy (38%), with significant contributions to Rotors (45%), Energy Systems (33%), and Wind Turbines Design (28%). His research addresses critical challenges in structural optimization, uncertainty quantification, and multi-disciplinary integration for next-generation wind energy technologies. Recent publications (2022-2024) reveal strong trends toward control co-design relevance, structural optimization of airborne systems, and surrogate modeling for offshore applications. His work consistently bridges theoretical optimization with practical engineering constraints, particularly in probabilistic design frameworks and atmospheric event-driven load analysis. McWilliam actively supervises doctoral research including J. Iori's thesis on Smart-Blade Technology optimization. He leads major initiatives: AWETRAIN: Airborne Wind Energy Training (2024-2028) as Principal Investigator IEA Wind Task 48: Airborne Wind Energy Systems (2021-2025) as Danish segment coordinator HIPERWIND: Probabilistic design for offshore wind reliability (2020-2024) Based at DTU's Roskilde campus within the System Engineering and Optimization group, he collaborates extensively through international consortia including EERA DeepWind and IEA Wind networks, driving innovation in wind energy system design and implementation.

Faas MoonenView profile

Associate Professor

• Innovative Structural Design
• Adaptive Structural Systems
• Lightweight Structures
• +5 more

Dr.ir. Faas Moonen is an Associate Professor in Innovative Structural Design at the Department of the Built Environment , Eindhoven University of Technology (TU/e) . His research focuses on Adaptive Structural Systems , Lightweight Structures , Life Cycle Design of Structures , Parametric Structural Optimisation , and Integrated Design of Structures , with significant contributions to the Smart Cities program. Education : MSc in Built Environment (1983) from TU/e PhD : 2001, thesis on industrialized foundation design supervised by Harry Rutten and Leo Wagemans His work emphasizes biocomposite materials (e.g., flax fiber composites) and their applications in sustainable infrastructure. Recent projects like the Smart Circular Bridge and Natuur-inbouw demonstrate integration of structural health monitoring and nature-inclusive design . He has pioneered probabilistic and fractional-order models for material performance analysis. Key scientific awards include: 55th TU/e Anniversary Award (2011) Herman Wijffels Innovation Award (2012) STW Design Prize (2014) SBIR-Grants (2010, phases I & II) Moonen has secured multiple research grants related to biocomposite footbridges , energy-efficient buildings , and sustainable urban development . His projects often involve interdisciplinary collaboration with industry partners.

Yakim MilevView profile

Lecturer

• Architectural Design
• Artificial Intelligence
• Urban Planning
• +4 more

Yakim Milev serves as a Lecturer in Architectural Design at the School of Architecture and Planning, leveraging extensive industry experience from Conran and Partners, Populous, Aecom, and KSS to bridge professional practice with academic research. His expertise centers on computational design, AI-driven urban planning, and sustainable construction methodologies for adaptive built environments. Educational background: PhD in Analysis and Optimisation of Modular Stadium Design with Machine Learning, Royal College of Art (2019-2024) RIBA Part3 Professional Practice (2015-2016) PgDip Architecture (2011-2013) BA (Hons) Architecture (2008-2011) BA Communications (2004-2008) Milev's research program integrates artificial intelligence with architectural practice through projects like the LAHP-funded Collaborative Doctoral Award on architectural typologies using structural topologies and machine learning with AKTII Engineering, and SCRAM (Sustainable Construction through Robotic Additive Manufacturing). His work pioneers computational approaches for sustainable building solutions, emphasizing machine learning optimization and robotic fabrication techniques to address environmental challenges in the built environment. His 2023 publications reveal emerging trends in cross-disciplinary design practices, with strong emphasis on parametric modeling, digital representation, and pedagogical innovation in architectural education. These works demonstrate consistent integration of computational methods to enhance creative processes and technical execution across design workflows. Research is supported by competitive grants including London Arts and Humanities Partnership funding for his Collaborative Doctoral Award and dedicated project financing for SCRAM. Milev maintains active industry partnerships through the Digital x Data Research Centre and holds ongoing affiliations with institutions including London South Bank University, where he previously served as Research Fellow and Lecturer.

• Turbomachinery Design Optimization
• Turbine Blade Cooling
• Aircraft Propulsion
• +5 more

Dr Ali Bahr Ennil is a Lecturer in Aircraft Propulsion and Gas Turbine Engines at the University of Salford, based within the School of Science, Engineering & Environment . He is a Fellow of the UK Higher Education Academy (FHEA) and has built an international profile in turbomachinery design optimisation for renewable-energy applications. Education & Qualifications PhD in Mechanical Engineering, University of Birmingham (2016) MSc (Hons, First Class) in Mechanical Engineering, Military Technical College, Egypt (2011) BSc in Aeronautical Engineering, Engineering Academy Tajoura, Libya (2003) Research Interests Dr Ennil’s work integrates advanced computational methods with practical propulsion challenges. Core themes include: Turbomachinery Design Optimisation: CFD-driven shape optimisation of axial and radial turbines for enhanced aerodynamic efficiency. Blade Cooling & Aero-thermal Design: Film-cooling studies to manage thermal loads in high-performance gas turbines. Green Propulsion & Energy Storage: Development of small-scale, hydrogen-compatible turbines and hybrid-electric aircraft propulsion concepts. Renewable Power Cycles: ORC and Brayton cycle integration with solar, low-grade heat, and compressed-air energy storage systems. Publication Trends Across 11 outputs (2015–2024), Dr Ennil demonstrates a clear trajectory toward multidisciplinary optimisation of small-scale axial turbines. His 2024 article extends CFD/FEA coupling for blade design, while earlier works systematically explored ORC and Brayton cycle turbines for solar and low-temperature heat sources. Continuous use of evolutionary algorithms and ANSYS CFX underlines a commitment to high-fidelity simulation and experimental validation. Scientific Awards & Recognition Fellow of the UK Higher Education Academy (FHEA) Supervision & Grants Dr Ennil currently welcomes doctoral and master’s candidates in the following areas: Turbomachinery Design Optimisation Aerodynamic Design Optimisation using CFD Modelling Aircraft Hybrid-Electric Propulsion Development Hydrogen Storage Design Optimisation Laboratory & Centre Affiliations He carries out research within the Energy House Labs Innovation Institute and collaborates across the University of Salford’s interdisciplinary centres focusing on future engineering and environmental sustainability.

Ding Wen Nic BaoView profile

Senior Lecturer

• Computational Design
• Structural Engineering
• Robotic Fabrication
• +3 more

Dr. Ding Wen 'Nic' Bao is a Senior Lecturer in Architecture and Architecture Technology Stream Coordinator at RMIT University's School of Architecture and Urban Design. He concurrently serves as a Visiting Professor in Civil Engineering at Shenzhen University and holds research positions at RMIT's Centre for Innovative Structures and Materials and Post-Carbon Research Centre. His academic affiliations include previous lecturing roles at the University of Melbourne, Monash University, and Tongji University. Education includes: PhD from RMIT University (Centre for Innovative Structures and Materials) Master of Architecture from University of Melbourne Bachelor of Architecture from RMIT University Exchange studies at Chinese University of Hong Kong and Universitat Politècnica de Catalunya Bao's research integrates computational design, structural engineering, and digital fabrication through three primary domains: 1. Biomimetic Optimization : Developing bio-inspired structural systems using evolutionary algorithms 2. Digital Manufacturing : Advancing robotic fabrication and 3D printing for sustainable construction 3. Performance-Driven Design : Creating computational workflows for material-efficient architecture His recent publications (2023-2025) demonstrate strong interdisciplinary focus, with recurring themes of topology optimization (applied in 73% of works), sustainable material innovation (67%), and bio-inspired computational strategies (53%). The research consistently bridges architectural design with structural engineering principles. Significant scientific awards include: 2023: A'Design Award, DigitalFUTURES Young Award, RMIT Research Excellence Award 2022: IAI Design Award 2021: Grand Prix Design Paris Gold, Muse Design Award, Young CAADRIA Award 2019-2020: First prizes in structural optimization competitions Bao supervises multiple research projects including ARC Advance Timber Hub initiatives, 3D-printed concrete systems, and solar-integrated building components. He leads the FormX Research Lab, co-directs B.W Architects and Wonderform Studio, and partners with Ameba Institute of Engineering Structure Optimisation.

• Structural Engineering
• Structural Dynamics
• Earthquake Engineering
• +2 more

Nikos Nanos is a Senior Lecturer at the University of Portsmouth , affiliated with the School of Civil Engineering and Surveying within the Faculty of Technology. He holds a PhD in Earthquake Engineering and Structural Dynamics, an MSc in New Technologies in Antiseismic Engineering Design, and a BEng (Hons) in Civil Engineering. Research Focus: Structural Engineering, Earthquake Engineering, Soil Structure Interaction, and Optimisation Algorithms Expertise: Structural Dynamics, Seismic Assessment, and Construction Optimization His recent work explores low-cost MEMS sensors for environmental monitoring, modular construction with lean thinking, and post-disaster housing solutions. He supervises PhD students in seismic structural response, concrete behavior, and soil-structure interaction, leveraging advanced facilities like the Seismic Table testing bed and Heavy Structures Lab . Interdisciplinary collaborations span Computing, Business, and Engineering disciplines, emphasizing data agnostic methodologies and cross-disciplinary innovation . Key projects include structural health monitoring, seismic vulnerability assessments, and BIM-based parametric optimization. Students: Supervises research in seismic structural response, concrete behavior, and structural monitoring. Labs & Facilities: Oversees the University of Portsmouth's Seismic Table testing bed, Heavy Structures equipment, and in-house FEA capabilities.

• Computational Structural Mechanics
• Non-linear Finite Element Analysis
• Structural Optimisation
• +6 more

Dr. Stanyslav Grosman is a Research Associate in the Computational Structural Mechanics group within the Department of Civil and Environmental Engineering at Imperial College London's Faculty of Engineering. He holds the position of Academic Visitor and has been working at Imperial since December 2019. His educational background includes: PhD in Engineering from Imperial College London (2015-2019) MSc in Structural Engineering from Prydniprovs’ka State Academy of Civil Engineering and Architecture, Dnipro, Ukraine (2012-2013) BSc in Civil Engineering from Pridneprovs’k State Academy of Civil Engineering and Architecture, Dnipro, Ukraine (2008-2012) Dr. Grosman's research focuses on computational structural mechanics, particularly non-linear finite element modeling of structures under extreme loading. His work includes the development of algorithms for assessing structural robustness, topology optimization, parametric design, and meta-modelling techniques. He also applies digital image correlation and programming in his research. His recent publications (2017-2022) demonstrate a strong emphasis on masonry structures, especially arch bridges and floor slabs, under various loading conditions including earthquakes, fatigue, and extreme events. The research employs advanced numerical modeling techniques to address challenges in structural safety and durability. Dr. Grosman is currently involved in a Network Rail funded project titled "Realistic Assessment of Masonry Railway Viaducts", which involves high-fidelity modeling of masonry arch bridges under transient traffic loading. He is part of the Computational Structural Mechanics research group, collaborating with experts such as Professor B. Izzuddin and Dr. L. Macorini.