Find Academic Supervisors

• Sustainable Materials
• Seismic Engineering
• Finite Element Analysis
• +3 more

Konstantinos Poutos serves as Head of the Department of Civil Engineering, Construction Management, and Surveying at Kingston University's Faculty of Engineering, Computing and the Environment. He additionally holds the strategic role of Faculty Coordinator for the National Student Survey (NSS) and Student Experience, driving initiatives that enhance academic quality and student satisfaction across engineering programs. His educational foundation includes: PhD in Civil Engineering Masters in Business Administration (MBA) MSc in Civil Engineering with Earthquake Engineering Dipl.-Ing. Civil Engineering (University of Patras, Distinction) BEng (Hons) Civil Engineering PgCe in Learning and Teaching in Higher Education Dr. Poutos' research spans sustainable construction materials and seismic engineering, with particular emphasis on recycled glass aggregates in concrete systems and structural dynamics under earthquake loads. His innovative work employs Finite Element Analysis to optimize mechanical properties and structural resilience, directly addressing industry challenges in eco-friendly construction and disaster-resistant infrastructure. This research portfolio bridges theoretical modeling with practical applications in water infrastructure and building systems. His publication trajectory reveals a clear evolution from foundational materials research (2007-2013) on recycled glass concrete to current seismic engineering innovations (2023-2025), complemented by educational scholarship on STEM student engagement. Recent work focuses on hybrid shear walls and slit-configuration water tanks, demonstrating sustained relevance in structural resilience. Professional recognition includes: Senior Fellow of the Higher Education Academy Through leadership roles as School Director of Learning and Teaching and Associate Dean (Faculty Director L&T), he implements evidence-based improvements in curriculum design and quality assurance. His strategic integration of NSS data drives targeted enhancements in student retention and academic success, while his teaching portfolio spans MSc Structural Design and BEng Civil Engineering programs. Dr. Poutos cultivates a research-active departmental culture that prioritizes interdisciplinary collaboration between structural engineers, materials scientists, and construction management specialists, fostering innovation in sustainable infrastructure solutions.

Olga MulaView profile

Researcher

• Optimal Transport
• Wasserstein Spaces
• Model Reduction
• +4 more

Olga Mula is a researcher at Eindhoven University of Technology (TU Eindhoven) in the Netherlands specializing in optimal transport theory, Wasserstein spaces, and model reduction techniques for partial differential equations. Her work bridges theoretical mathematics with practical applications in state estimation and inverse problems. Her research interests focus on Optimal Transport , Wasserstein Spaces , Model Reduction , and Numerical Analysis of PDEs . She develops algorithms for state estimation in metric spaces, particularly focusing on the Wasserstein space of probability measures. Her work includes developing reduced models using barycentric approximation, analyzing convergence properties, and addressing challenges in sensor placement for optimal data acquisition. Her recent publications demonstrate significant contributions to understanding how to build efficient reduced models in Wasserstein spaces for both forward and inverse problems. She has developed theoretical frameworks for state estimation algorithms, analyzed their performance in terms of Kolmogorov widths, and created practical implementations using sparse Wasserstein barycenters. Her work spans pure mathematical theory to applications in image processing and PDE-constrained optimization. Her scientific contributions include: Development of piecewise-affine algorithms for state estimation Nonlinear model reduction on metric spaces for conservative PDEs Sparse approximation using Wasserstein barycenters Applications to shape reconstruction and line completion Theoretical analysis of approximation rates in Wasserstein spaces She collaborates extensively with leading researchers in the field including Cohen, Dahmen, Feydy, and Rai. Her work demonstrates both theoretical depth and practical relevance, connecting abstract mathematical concepts to real-world problems in data assimilation and inverse modeling.

• Verification
• Probabilistic Models
• Infinite-State Systems
• +2 more

Mahsa Shirmohammadi is a CNRS researcher at Institut de Recherche en Informatique Fondamentale (IRIF) , Université de Paris. Her research focuses on verification, probabilistic models, infinite-state systems, automata theory, and numerical computation. Education : PhD from LSV, ENS de Cachan (France) and ULB (Belgium). Previous Affiliation : Postdoctoral researcher at University of Oxford (UK). Her work addresses stochastic games , timed automata , matrix groups , and algebraic computation . Recent publications analyze strategy complexity, synchronization in decision processes, and parametric algebraic problems. Key collaborators include Stefan Kiefer, Richard Mayr, James Worrell, and Patrick Totzke. Her research has been published in venues like ACM SIGLOG News, ICALP, LICS, and ISSAC. Contact: mahsa@irif.fr , +33 (0)1 57 27 92 29, Office 4017 (Sophie Germain building, Paris).

Vitor CardosoView profile

Professor

• Strong-field gravity
• Black hole physics
• General Relativity
• +4 more

Vitor Cardoso is a Professor at the Niels Bohr Institute , University of Copenhagen, leading the Strong team under the Niels Bohr International Academy. His research focuses on strong-field gravity , black hole physics , and fundamental interactions , with significant contributions to gravitational wave astronomy and dark matter studies. PhD from Técnico Lisbon (2003) Previously affiliated with CERN, Perimeter Institute, and Waseda University Co-author of over 200 peer-reviewed publications and 1 book Recent research trends reveal expertise in gravitational wave analysis , Kerr spacetime modeling , and dark matter-black hole interactions . Key themes include: Probing fifth forces at the Galactic Center Testing General Relativity's foundational principles Gravitational lensing tomography Quantum field dynamics in black hole environments Black hole formation mechanisms Scientific honors include: Three ERC Grants (Advanced and standard) Villum Investigator and DNRF Chair awards Ordem de Sant'Iago da Espada (2015) from Portugal

Ada AmendolaView profile

Associate Professor

• Mechanics of Materials
• Metamaterials
• Tensegrity Structures
• +12 more

Ada Amendola is an Associate Professor in the Department of Civil Engineering at the University of Salerno, where she conducts advanced research in innovative materials and structural mechanics. Her work bridges computational modeling, bio-inspired design, and experimental validation of multiscale systems. Her research interests include: Mechanics of Metamaterials and Tensegrity Structures Nonlinear Wave Propagation in Solids Seismic and Dynamic Protection of Structures Energy-Harvesting and Carbon-Storing Building Systems Bio-inspired and Fractal Structural Design Additive Manufacturing of Advanced Structural Components The recent articles highlight her focus on solitary wave dynamics, tensegrity-based seismic isolators, impact-resistant columns, and sustainable composite structures. These works reflect a strong integration of theoretical, computational, and experimental approaches in applied mechanics and civil engineering. Scientific recognition includes competitive funding from the Italian Ministry of University and Research (PRIN), MAECI, and PRIN-PNRR Linea Giovani for projects such as: 'The Mathematics and Mechanics of Nonlinear Wave Propagation in Solids' 'Sustainable Composite Structures for Energy-Harvesting and Carbon-Storing Buildings' (SUSTBUILD) 'Next-Generation Green Structures for Natural Disaster-Proof Building' (NEXTBUILDING) She leads and contributes to interdisciplinary research initiatives, advising teams working on 3D-printed meta-isolators highlighted in Nature , and developing novel structural systems with re-centering capabilities using shape memory alloys. Her lab investigates post-tensioned tensegrity columns, dynamic impact responses, and parametric design of meta-braces. Ongoing work explores the use of self-similarity and biological principles to innovate in structural resilience and sustainability.

• Vibration Analysis
• Structural Dynamics
• Rotor Dynamics
• +12 more

Majid Aleyassin is a Lecturer in the School of Engineering at the University of Aberdeen, where he contributes to research and teaching in mechanical and structural engineering. His work bridges theoretical modeling, computational simulation, and practical engineering applications. His research interests include Vibration Analysis , Structural Dynamics , Rotor Dynamics , Blast Response Modeling , Surrogate Modeling , and Finite Element Methods . He also actively explores Engineering Education , particularly in computational thinking and digital assessment in large courses. The trend in his recent publications (2022–2025) shows a strong focus on developing simplified yet accurate models—especially surrogate models—for complex engineering problems in offshore, aerospace, and safety-critical systems. His work integrates control theory, structural mechanics, and numerical methods to improve system performance and safety. Scientific Awards: Best Paper Award Finalist (2017) – 'Selection of Positive Position Feedback Controllers for Damping and Precision Positioning Applications' Advising and Grants: While specific students and grants are not listed in the provided text, his long-standing research output, book publication, and active collaboration suggest significant involvement in supervising students and securing research support. He has co-authored works with researchers such as S. S. Aphale, J. J. Harrigan, and R. Whalley, indicating strong research group integration. Labs and Research Teams: Although no specific lab or team name is mentioned, his research in vibration control, rotor dynamics, and blast modeling suggests affiliation with mechanical systems or dynamics laboratories within the School of Engineering at the University of Aberdeen.

Yucheng LiuView profile

Professor

• Computer modeling and simulation
• CAD/CAE/FEA/CFD
• crashworthiness analysis
• +11 more

Yucheng Liu is a Professor and the Jack Hatcher Chair in Engineering Entrepreneurship in the Department of Mechanical Engineering at Mississippi State University’s Bagley College of Engineering. He is a Fellow of both the American Society of Mechanical Engineers (ASME) and the Society of Automotive Engineers (SAE), reflecting his significant contributions to mechanical engineering research and education. His research spans computational modeling, crashworthiness, structural dynamics, vehicle systems, energy technology, and applied mathematics. Ph.D., Mechanical Engineering, University of Louisville, 2005 M.S., Mechanical Engineering, University of Louisville, 2003 B.S., Mechanical Engineering, Hefei University of Technology, 1997 Dr. Liu’s research interests center on computer modeling and simulation , crashworthiness analysis , structural mechanics and dynamics , vehicle system design , and ocean and marine energy technology . He has developed advanced computational models for thin-walled structures, energy absorption systems, and wave energy converters. His work integrates finite element analysis (FEA), CFD, and experimental validation to solve complex engineering problems in automotive, aerospace, and energy sectors. He has also contributed to applied mathematics by developing numerical methods for differential and integral equations. His recent publications reveal a strong focus on additive manufacturing , composite materials , tribology in precision gears , and electro-mechanical coupling in metals . These works often combine experimental and computational techniques, demonstrating a multidisciplinary approach. Trends include the use of internal state variable (ISV) models, phase-field simulations, and Taguchi-based optimization in mechanical systems. Dr. Liu has received numerous honors, including: Forest R. McFarland Award, SAE (2020) SAE Fellow (2019) ISET B. N. Gupta Award (2018) ASME Fellow (2017) Faculty Research Award, Mississippi State University (2018) Junior Faculty Researcher of the Year, UL Lafayette (2013) Marquis Who’s Who in America (since 2012) He has secured funding from NASA, NSF, Louisiana Space Consortium, and Mississippi Space Grant Consortium. His educational contributions include project-based learning frameworks , instructional courseware in thermodynamics and vibrations , and reforming senior design courses to be industry-tied and team-oriented. He has advised numerous student projects, including a Martian robot mining system and autonomous vehicle data acquisition systems. He leads the Wave Energy and Technology Lab, supporting experimental and computational research in renewable energy.

• Manufacturing Engineering
• Advanced Machining Processes
• CAD/CAM Simulation
• +6 more

Professor Antoniadis Aristomenis is a faculty member at the Technical University of Crete, affiliated with the School of Production Engineering and Management. His work focuses on advanced manufacturing processes, CAD/CAM simulation, laser engraving, and emerging technologies in materials science and augmented reality applications. He holds a prominent role in the Vice-Chancellor Office, indicating leadership responsibilities within the institution. Key research areas include: Process optimization of machining operations (drilling, hobbing, skiving) Laser-material interaction and surface engineering Development of serious games for manufacturing education Finite element modeling of cutting processes Additive manufacturing of composite materials Recent publications highlight contributions to: Enhanced drilling performance using RSM and ANN Innovative AR interfaces for industrial guidance Laser engraving quality control methodologies Simulation of complex machining processes No specific awards or grants are explicitly mentioned in the provided text, though his extensive publication record indicates sustained research activity. His work integrates theoretical models with practical industrial applications, emphasizing both innovation and educational dissemination through gamified training systems.

Sandy CurthView profile

Lecturer

• Architectural Additive Manufacturing
• 3D Printing
• Material Science
• +4 more

Sandy Curth is a Lecturer and PhD candidate at the Massachusetts Institute of Technology (MIT), affiliated with the Design and Computation Group. She leads the Programmable Mud Initiative, focusing on architectural additive manufacturing with locally sourced earthen materials. Educational background: PhD in Design and Computation (MIT), Master of Architecture (UC Berkeley), and dual undergraduate degrees in Physics and Anthropology (Bennington College). Her research spans architectural design, material science, and computational fabrication. Key areas include: Development of bio-engineered local materials (Biocementation Program). Additive Energy: Thermally performative building elements using low-carbon earthen materials. EarthWorks: Zero-waste 3D printed earthen formwork for reinforced concrete construction. Life Cycle Assessment of earthen additive manufacturing systems. Robotic fabrication and structural optimization techniques. Her publications highlight innovations in 3D printing with earth, circular construction methods, and climate-resilient housing. Collaborations include MIT's Digital Structures, Huang Hobbs Biomaker Space, and Center for Bits and Atoms. Scientific Awards: 2019 Norman Foster Foundation Robotics Scholar. Her work intersects academia with practical applications, including contributions to the Long Now Foundation's 10,000 Year Clock Project and community engagement like the annual Christmas Bird Count.

• Cybernetics
• Computational Architecture
• Digital Twins
• +7 more

Liss C. Werner is a computational design researcher at Dessau International Graduate School of Architecture , focusing on the intersection of cybernetics, architecture, and digital systems. Her work explores bio-computational reactors, digital twins for buildings, and slime mold-based architectural models. She contributes to urban planning through GIS-based tools and investigates historical cybernetic principles in design. Key Research Areas: Cybernetics, computational architecture, bio-digital integration, digital twins, and urban systems. Collaborations: Projects with scholars in Germany, Austria, and Sweden, including studies on microbial fuel cells and particle physics applications. Theoretical Contributions: Extended Gordon Pask's Conversation Theory into architectural design, proposed 'sixth ecology' frameworks, and critiqued bio-digital fantasies in design. Tools & Methods: Uses Python OpenCV, Grasshopper/Rhinoceros, Arduino-Uno, and parametric CAD environments for bio-reactor monitoring and urban optimization. Publications: 15 recent works cover topics from digital infrastructure in the Anthropocene to cybernetic feedback mechanisms in architecture, with a focus on adaptive geometries and human-machine co-evolution.

Lucio BlandiniView profile

Professor

• Sustainable Lightweight Structures
• Digital Fabrication
• Adaptive Systems
• +3 more

Lucio Blandini is a professor and director of the Institute for Lightweight Structures and Conceptual Design (ILEK) at the University of Stuttgart. He leads research in sustainable lightweight systems, adaptive structures, and digital fabrication, focusing on reducing environmental impact through computational design and sensor-integrated solutions. Education: PhD in Structural Engineering (University of Stuttgart, 2005) on adhesive-based glass shells. Leadership: Deputy spokesperson for CRC 1244 and Principal Investigator in the Cluster of Excellence IntCDC. His research spans Digital Fabrication , Adaptive Concrete Systems , and Complex Glass Envelopes , with recent work on functionally graded concrete, cyber-physical manufacturing, and resource-efficient structures. Publications emphasize integration of computational tools, material innovation, and interdisciplinary collaboration. Key projects include the Kuwait International Airport Terminal 2 , Doha Exhibition and Convention Center , and Enzo Ferrari Museum , demonstrating his focus on parametric design, digital transformation, and lightweight engineering. Labs and Teams: Collaborates with the University of Stuttgart's ILEK and Cluster of Excellence IntCDC, integrating architecture, civil engineering, and materials science.

Paul MarriottView profile

Professor

• Geometric Statistics
• Differential Geometry
• Mixture Models
• +6 more

Paul Marriott is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. His research focuses on integrating geometric principles, particularly differential and convex geometry, into statistical methodologies, with a recent emphasis on mixture models and information geometry. He has published extensively across diverse journals such as Biometrika, Annals of Statistics, and Psychological Medicine, bridging theoretical and applied statistics. Education: PhD, University of Warwick (1989) MA, University of Oxford (1984) Research Trends: His work explores geometric frameworks for statistical inference, mixture model parameterization, and robustness analysis. Recent publications highlight causal modeling, neural spike train analysis, and high-dimensional data applications. Contact: Office: Mathematics & Computer Building (M3) 4204, Phone: 519-888-4911 x35545, Email: pmarriot@math.uwaterloo.ca

Sebastian Ferrer MartinezView profile

Researcher

• Mechanics of Particles and Systems
• Dynamical Systems and Ergodic Theory
• Ordinary Differential Equations
• +4 more

Sebastian Ferrer Martinez is a researcher at Universidad de Murcia specializing in Mechanics of Particles and Systems , Dynamical Systems , and Celestial Mechanics . He earned his Ph.D. from Universidad de Zaragoza (1979) with a thesis on three-body integration and Trojan asteroids. His work focuses on Hamiltonian systems, resonance dynamics, and symmetry reduction in galactic and orbital mechanics. Research group: Applied Mathematics in Science and Engineering Key collaborations: Francisco Crespo, Martin Lara, Jan-Cees van der Meer His research bridges theoretical mathematics and engineering, with notable contributions to integrable systems, bifurcation theory, and perturbed oscillators. Publications span 1980–2021 , emphasizing applications in satellite theory, rigid body dynamics, and galactic tidal models.

• Partial Differential Equations
• Variational Methods
• Nonlinear Analysis
• +5 more

Giuseppe Devillanova serves as Associate Professor of Mathematical Analysis (MAT/05) in the Department of Mechanics, Mathematics and Management at Polytechnic University of Bari, Italy. His research bridges pure mathematical theory with engineering applications through advanced analysis of nonlinear systems and variational structures. His primary research focuses on nonlinear partial differential equations, variational methods for critical problems, and symmetry analysis in elliptic equations. He investigates wave propagation in elastic media with nonlinear adhesion, geometric constraints in structural mechanics, and fractal properties of irrigation networks. His work extends to foundational topics in set theory and historical analysis of Richard Dedekind's contributions to mathematics. Analysis of his 2019-2023 publications reveals three dominant research trajectories: (1) Min-max methods for parametrized elliptic problems on unbounded domains with symmetry constraints; (2) Mathematical modeling of nonlinear adhesion phenomena in thermo-elastic waves and flexural beams; (3) Geometric analysis of singular structures in variational problems, including irrigation networks and elastic multi-blisters. His interdisciplinary approach consistently connects theoretical mathematics with mechanical engineering and biomechanical applications.

• Mechanical and Thermal Measurements
• Additive Manufacturing
• Thermography
• +7 more

Laura Fabbiano is an Associate Professor in the Department of Mechanics, Mathematics & Management at Politecnico di Bari, Italy. Her research focuses on mechanical and thermal measurements, additive manufacturing, thermographic inspection, and hydrogen separation technologies. Department: Mechanics, Mathematics & Management Email: laura.fabbiano@poliba.it Her work spans interdisciplinary domains including: Mechanical Engineering: additive manufacturing, fluid dynamics, and vibration analysis Thermography: non-destructive testing, melanoma detection, and conservation of historical artifacts Hydrogen Production: membrane reactors, biomass-derived syngas, and clean energy systems Smart Technologies: Industry 4.0 applications, energy-efficient grids, and IoT-based diagnostics Recent publications emphasize process optimization in 3D printing, metrological improvements in thermographic imaging, and sustainable energy solutions using Pd-based membranes. Her research integrates experimental, statistical, and numerical methodologies to address industrial and environmental challenges.