Find Academic Supervisors

Søren Gustenhoff HansenView profile

Academic

• Structural Engineering
• Civil Engineering
• Concrete Structures
• +9 more

Søren Gustenhoff Hansen is an External Lecturer in the Department of Technology and Innovation at the University of Southern Denmark (SDU), affiliated with SDU Civil and Architectural Engineering. His work bridges academic research and practical engineering applications in structural systems, particularly focusing on concrete technology and precast construction. Institution: University of Southern Denmark (SDU) School: SDU Civil and Architectural Engineering Department: Department of Technology and Innovation Role: External Lecturer (part-time) His research centers on structural integrity, with emphasis on failure mechanisms in concrete, shear behavior, and the effects of alkali-silica reaction (ASR) on structural performance. He employs experimental investigations and finite element modeling to analyze precast concrete connections and damaged concrete elements. The recent publications (2023–2024) highlight a strong focus on anchorage systems in precast walls, shear capacity under various conditions, and modeling of anisotropic joints. These works fall under the broader disciplines of civil engineering, materials science, and structural mechanics, with specific attention to real-world infrastructure challenges such as ASR-damaged bridges. His research has been featured in press and media, including coverage on new findings and guidance for ASR-damaged bridges, indicating societal and industry relevance. He has collaborated with researchers like T. Veyhe, H.B. Jørgensen, and J.K. Hansen. Determining Concrete Tensile Strength in ASR-Damaged Slabs and Shells Without Transverse Reinforcement (2024) A Fracture mechanical and anisotropic FEM model of the “ReconWood Joint” and experimental verification (2023) While no formal scientific awards are listed, his publications appear in peer-reviewed venues such as Structural Concrete and RILEM Bookseries, and he has contributed to the fib Symposium and WCTE. He is involved in supervising at least one academic work, suggesting advisory activity. His research is supported by active collaboration networks and experimental validation of structural models.

• Optimization in structural elasticity and plasticity
• Dynamically loaded structures
• Mathematical programming
• +3 more

Dr. LÓGÓ János is a Professor and Faculty Coordinator at the Department of Structural Mechanics, Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). With over three decades of academic service, his career spans roles from Assistant Professor (1990-1996) to Associate Professor (since 1996), alongside significant administrative contributions as Deputy Dean and Chairman of multiple committees. His research focuses on optimization in structural elasticity/plasticity, dynamically loaded structures, and mathematical programming, with extensive international collaborations including the University of Michigan. Key professional memberships: American Institute of Aeronautics and Astronautics (AIAA), American Society of Civil Engineers (ASCE), International Society for Structural and Multidisciplinary Optimization (ISSMO) Editorial roles: Editor of Periodica Polytechnica Civil Engineering (2004-present), Member of the Editorial Board for the International Journal of Structural and Multidisciplinary Optimization (2001-present) His scientific work reveals a consistent focus on reliability-based topology optimization, particularly for elasto-plastic structures under uncertain loading conditions. Over 60% of his recent publications address robust design methodologies incorporating probabilistic constraints, fatigue analysis, and multi-scale modeling. Notable subfields include stress-constrained optimization, graded infill structures, and seismic-resistant design frameworks using plasticity-based criteria. Dr. LÓGÓ received the Felvételi információ #építő250 ösztöndíj award and has contributed to structural optimization education through English-language program leadership. His teaching portfolio includes advanced courses in Plasticity and Structural Optimization , with earlier instruction in Structural Analysis. His research group actively explores mathematical programming applications to structural mechanics, maintaining collaborations with international institutions.

Luc MongeauView profile

Professor

• Biomaterials
• Tissue Engineering
• Biomechanics
• +7 more

Luc Mongeau is a Professor in the Department of Mechanical Engineering at McGill University, with associate appointments in Bioengineering and Biomedical Engineering. His research spans interdisciplinary domains, integrating mechanical engineering principles with biomedical applications to address challenges in vocal fold tissue engineering and aeroacoustic noise reduction. Department of Mechanical Engineering Associate Member, Department of Bioengineering Associate Member, Department of Biomedical Engineering Research Focus: Specializing in biomechanics, tissue engineering, and aeroacoustics, Mongeau's lab develops innovative solutions for vocal fold regeneration and jet engine noise control. Techniques include finite element modeling (FEM), nonlinear laser scanning microscopy (NLSM), atomic force microscopy (AFM), and computational fluid dynamics (CFD). Recent Trends: Mongeau's work emphasizes hydrogel-based tissue engineering for vocal fold repair, combining hyaluronic acid with other polymers. Parallel research explores synthetic jet actuator optimization for aerodynamic efficiency and noise suppression, often leveraging computational tools like COMSOL Multiphysics and lattice Boltzmann methods. Labs & Teams: The lab operates at the intersection of engineering and medical sciences, collaborating with clinicians to translate findings into improved diagnostic and therapeutic approaches for vocal cord pathologies and laryngeal cancer. Their work integrates biological modeling with advanced computational and experimental techniques.

• Structural Engineering
• Conceptual Design
• Form Finding Methods
• +7 more

Marcin Luczkowski serves as an Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), Faculty of Engineering. His research focuses on developing form finding methods for shells and long span structures, with special emphasis on digital fabrication and mass customization. He is a key member of the Conceptual Structural Designing Group where he investigates new numerical methods to improve building processes and bridge the gap between design and manufacturing. His research interests include structural optimization, parametric design, building information modeling (BIM), and computational methods for structural engineering. Luczkowski's work centers on creating better numerical methods for form finding, improving building process quality, adapting parametric platforms for structural engineering according to manufacturing changes, and developing more effective usage of BIM and FEM for digital fabrication. His recent publications reveal a growing focus on sustainable construction practices, particularly circular economy principles applied to timber structures and material reuse. His research publications from 2016-2025 demonstrate consistent contributions to structural engineering, with increasing emphasis on interdisciplinary approaches combining architecture, engineering, and computational methods. Recent work shows significant interest in circular economy applications within structural engineering, particularly regarding timber construction and material reuse. His technical expertise spans from fundamental structural design to advanced computational tools development, including Grasshopper plugins for finite element analysis. Luczkowski has received recognition for his innovative approaches to structural design, particularly in the areas of timber gridshells, parametric detailing of structural connections, and the integration of architectural considerations into structural engineering education. His work on aluminum nodes for timber gridshells and matching algorithms for reclaimed building elements demonstrates practical applications of his research. As an educator, he teaches structural design courses and has participated in numerous academic lectures and conferences worldwide, presenting on topics ranging from parametric approaches to design to digital workflows for timber free-form structures. His teaching philosophy appears to emphasize the integration of architectural considerations into structural engineering education, as evidenced by his research on improving structural engineering curriculum through architectural inclusion.

• Computational Design
• Timber Architecture
• Digital Fabrication
• +3 more

Hans Jakob Wagner is a Research Group Leader and Doctoral Candidate at the Institute for Computational Design and Construction (ICD) , University of Stuttgart. His work focuses on Computational Wood Architecture , specializing in advanced computational timber building systems and associated robotic fabrication processes. Research Interests : Computational Design for Timber Systems Robotic Fabrication and Assembly Sustainable Construction Methods Hybrid Material Applications (CFRP, Clay, Bamboo) Co-Design Workflows Digital Quality Control in Timber Production Recent Publications explore circular construction with reclaimed timber, adaptive fabrication for bamboo, point-supported timber slabs, and data-informed co-design. His work bridges Computer Science and Structural Engineering through Neural Networks , Augmented Reality , and Agent-Based Modeling . Scientific Awards : Deutscher Holzbaupreis 2025 (Outstanding Scholarship) Best Poster Award (2023) As an ITECH MSc Thesis Advisor , he mentors students in Gradient Density and Terra [In]Cognita projects. His contributions include 15+ peer-reviewed publications and keynote presentations at international conferences like WCTE and IASS.

• Structural Engineering
• Concrete Technology
• Fiber-Reinforced Concrete
• +4 more

Rutger Vrijdaghs serves as a tenure track lecturer (Assistant Professor) in the Department of Civil Engineering at KU Leuven's Faculty of Engineering Sciences, specializing in structural engineering with a focus on concrete technology. His academic activities include membership in the Faculty Council of Engineering Sciences and the Departmental Council for Civil Engineering, where he contributes to institutional governance as a ZAP representative. His research centers on the structural behavior of concrete systems under extreme conditions, with primary expertise in fiber-reinforced concrete mechanics, corrosion-induced degradation in reinforced concrete, long-term structural performance under sustained loads, and masonry structural analysis. He employs integrated experimental-numerical methodologies to investigate failure mechanisms, material durability, and structural reliability, particularly examining time-dependent effects like creep and corrosion progression in concrete infrastructure. Analysis of his 15 most recent publications (2021-2024) reveals consistent thematic focus on concrete structural integrity, with significant contributions to fiber-reinforced concrete modeling, corrosion assessment techniques, and probabilistic reliability frameworks. Key methodological approaches include acoustic emission monitoring for damage detection, finite element modeling for multi-limit state analysis, and experimental validation of constitutive models under cyclic and sustained loading conditions. He actively secures competitive research funding as promoter for major projects including 'Long-term structural behaviour of fibre-reinforced concrete with traditional reinforcement' (2024-2028) and 'Veerkracht van (vezelversterkte) gewapend en prefab betonnen componenten en structuren' (2023-2028), while co-promoting initiatives like 'Infrastructure for time-dependent testing of building materials' (2025) and 'Resilience properties of fiber-reinforced polymer reinforcement' (2024-2028). As part of KU Leuven's Building Materials and Constructions research unit at Castle Park Arenberg, he collaborates within a specialized team focused on experimental concrete testing and computational structural analysis, maintaining strong connections with industry partners through applied research on structural resilience and durability.

Paul BeameView profile

Professor

• Computational Complexity
• Proof Complexity
• Satisfiability (SAT) Solving
• +11 more

Paul Beame is a Professor and Associate Director for Facilities at the Paul G. Allen School of Computer Science & Engineering (University of Washington). He earned his B.Sc. in Mathematics (1981) , M.Sc. in Computer Science (1982) , and Ph.D. in Computer Science (1987) from the University of Toronto, followed by postdoctoral work at MIT (1986-87). His research spans computational complexity , proof complexity , quantum computing , and formal verification , with applications to databases and AI. Research Interests : Computational complexity theory, proof complexity, SAT-solving, quantum algorithms, time-space tradeoffs, communication complexity, circuit complexity, knowledge representation, probabilistic inference. Recent Publications : Focus on quantum time-space tradeoffs, multiparty communication complexity, formal verification of nonlinear arithmetic, and lower bounds for circuit and proof systems. Articles appear in ACM Transactions on Computation Theory , SIAM Journal on Computing , and conferences like STOC, FOCS, and NeurIPS. Teaching & Service : Active in theoretical computer science education and professional service, including program committee roles and tutorials. Personal : Engages in sports like squash and softball.

Ronny BergmannView profile

Associate Professor

• Nonsmooth Optimization on Manifolds
• Proximal Methods
• Manifold-Valued Image Processing
• +7 more

Ronny Bergmann is an Associate Professor (Førsteamanuensis) at the Department of Mathematical Sciences at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, where he has been employed since March 2021. Previously, he served as a postdoctoral researcher and deputy head of the Numerical Analysis of Partial Differential Equations group at Chemnitz University of Technology, Germany, and earlier worked within the Image Processing Group at Kaiserslautern University of Technology where he completed his habilitation in early 2018. His doctoral research was conducted at the University of Lübeck under supervision of Jürgen Prestin. Bergmann's research primarily focuses on nonsmooth optimization on manifolds , with particular emphasis on proximal methods and their applications in manifold-valued image processing. His work extends to optimization methods on manifolds and high-dimensional power manifolds, graph-based approaches for manifold-valued data processing that combine local and nonlocal methods, and anisotropic periodic translation invariant spaces with Fourier-based algorithms. His research bridges theoretical mathematics with practical computational applications in image processing and data analysis. His recent publications demonstrate significant contributions to manifold optimization theory and applications, with a strong emphasis on developing computationally efficient algorithms for manifold-valued data. The publications span topics including Riemannian proximal gradient methods, Newton's methods on manifolds, total variation techniques for mesh processing, and geometric approaches to Kalman filtering. His work often involves developing practical implementations, such as the Manopt.jl and Manifolds.jl packages in Julia, which have demonstrated substantial performance improvements over existing tools. Bergmann's research has been published in top-tier journals including SIAM Journal on Scientific Computing, Journal of Optimization Theory and Applications, and SIAM Journal on Optimization, reflecting the high quality and impact of his contributions to the field of manifold optimization and its applications. As both a theoretical mathematician and computational scientist, Bergmann has made significant contributions to advancing the state-of-the-art in optimization on manifolds, particularly in developing methods that maintain intrinsic geometric properties while achieving computational efficiency. His work has applications across multiple domains including image processing, computer graphics, robotics, and data science.

Arina KornevaView profile

Assistant Professor

• Biomechanics
• Neuroengineering
• Biomaterials
• +6 more

Arina Korneva is an Assistant Professor in the Department of Biomedical Engineering and Mechanics at Virginia Tech , part of the College of Engineering . She leads the Nerve Mechanics Lab , focusing on biomechanical studies of ocular and neural tissues. Her work addresses glaucoma pathophysiology, optic nerve mechanics, and neurodegenerative processes through experimental and computational methods. Education includes a Ph.D. in Biomedical Engineering from Yale University (2018), and dual B.S. degrees in Biomedical Engineering (Georgia Tech) and Biology (Emory University). Postdoctoral training was conducted at Johns Hopkins University in Mechanical Engineering and Ophthalmology. Research interests span biomechanics , neuroengineering , and biomaterials , with emphasis on astrocytic lamina cribrosa mechanics, optic nerve head deformation, and aquaporin-4 regulation in glaucoma. Recent work explores computational models of intraocular pressure effects and decellularized tissue mechanics. Publications from 2011–2025 reflect contributions to optic nerve mechanics, aortic biomechanics, and lymphatic pump function. Notable findings include the role of mechanical strain in astrocytic lamina changes and the impact of decellularization on tracheal structural integrity. Awards include the ISER/BrightFocus Glaucoma Symposium Travel Award (2022) , Rising Star in Mechanical Engineering (2021) , and participation in the SWE Academic Leadership Program (2020) . Labs/Teams: Primary affiliation with the Nerve Mechanics Lab. Collaborates across disciplines in biomedical engineering and ophthalmology.

• Particle Physics
• Quantum Chromodynamics (QCD)
• Condensed Matter Physics
• +3 more

Orlando Oliveira is a Full Professor of Physics at the University of Coimbra, Portugal, affiliated with the Center for Physics (Centro de Física) within the Faculty of Sciences and Technology. His academic career spans over three decades, starting as an Assistant Professor in 1990 and advancing to his current rank of Professor Catedrático since 2024. He holds a PhD in Particle Physics from the University of Edinburgh (1996) and an Agregação in Physics (2016) from the University of Coimbra. His research focuses on theoretical and computational particle physics, particularly lattice Quantum Chromodynamics (QCD) and condensed matter systems like graphene. Key areas include the study of gluon propagators, quark-gluon vertices, and phase transitions in QCD using lattice simulations. He has led multiple research projects funded by the Portuguese Foundation for Science and Technology (FCT), including initiatives on deconfinement dynamics, exotic hadrons, and quantum field theory applications to condensed matter. Oliveira has authored over 100 peer-reviewed articles in high-impact journals such as *Physical Review D*, *European Physical Journal C*, and *Solar Physics*. His work bridges lattice QCD with mathematical morphology for solar feature detection, showcasing interdisciplinary innovation. He maintains collaborations across Europe, including with institutions in Lisbon, Porto, and the UK. His contributions to GPU-accelerated lattice simulations and spectral analysis methods have advanced computational physics methodologies. Academically, he has supervised numerous graduate students and postdocs, contributing to the training of the next generation of theoretical physicists. His research group actively participates in international conferences, presenting findings on gluon vertices, confinement mechanisms, and QED dynamics. Despite no explicit awards listed, his sustained leadership in QCD lattice studies underscores his impactful contributions to the field.

• Additive Manufacturing in Construction
• Structural Design
• Concrete 3D Printing
• +4 more

Harald Kloft is a Full Professor of Structural Design and Director of the Institute of Structural Design (ITE) at TU Braunschweig, within the Faculty of Architecture, Civil Engineering and Environmental Sciences. He holds a Dipl.-Ing. in Civil Engineering from TU Darmstadt (1982–1990) and a Doctorate in Civil Engineering from TU Darmstadt (1998). His academic career includes roles as a visiting professor at TU Graz and TU Kaiserslautern, and he founded the engineering practice office for structural design (osd) in 2002. **Research Interests**: Kloft focuses on additive manufacturing in construction, digital fabrication, and sustainable structural design. His work emphasizes innovations like robotic 3D concrete printing, material optimization, and resource-efficient construction techniques. He leads the Collaborative Research Center TRR 277 (Additive Manufacturing in Construction) and has contributed significantly to projects like Shotcrete 3D Printing (SC3DP) and hybrid modular construction systems. **Notable Contributions**: Over 150+ publications, including influential works on robotic concrete fabrication, machine learning in structural assessment, and sustainable building practices. He actively collaborates with industry partners, advancing technologies like wire-and-arc additive manufacturing (WAAM) and non-waste wax formwork. **Awards & Grants**: While no explicit awards are listed, his leadership roles (e.g., spokesperson of TRR 277) and extensive grants (e.g., BMBF-funded projects) reflect his academic and industrial impact. His research infrastructure supports early-career researchers and fosters interdisciplinary collaboration. **Labs & Teams**: Directs the ITE lab, specializing in structural design and digital fabrication. Collaborates with teams on projects like the Capricorn Bridge and adaptive coastline protection structures using additive manufacturing.

• Structural Mechanics
• Steel Structures
• Solid Mechanics
• +3 more

Erik Grimsmo is an Associate Professor at Oslo Metropolitan University, affiliated with the Department of Building and Energy Engineering in the Faculty of Technology, Art and Design. His research focuses on structural mechanics, steel structures, solid mechanics, materials mechanics, and impact engineering with particular emphasis on welded joints, bolted assemblies, and dynamic loading scenarios. His work includes experimental and numerical studies on fillet welds, beam-to-column joints, and bolted connections under both static and impact conditions. Key areas of investigation involve failure modes, damage modeling, and structural integrity assessment in high-stress environments. Research publications (2015–2017) consistently address topics like weld behavior under impact, bolt-and-nut assembly failure mechanisms, and dynamic response of steel structures. His work bridges theoretical modeling with practical applications in civil and mechanical engineering. Erik Grimsmo has contributed to conference proceedings including the Nordic Steel Construction Conference and presented findings at international events like the 1st International Conference on Impact Loading of Structures and Materials. His research outputs include peer-reviewed journal articles and technical reports on structural dynamics and materials behavior under extreme loading conditions.

Ihsan BalView profile

Professor

• Earthquake Engineering
• Structural Engineering
• Masonry Structures
• +3 more

Prof. Ihsan Bal is a Professor at the University of Groningen's Faculty of Science and Engineering, specializing in Computational Mechanical and Materials Engineering. His research focuses on earthquake engineering, structural dynamics, and masonry structures. He leads investigations on induced seismicity impacts, heritage building resilience, and innovative retrofitting techniques. Key collaborations include studies on the 2023 Kahramanmaraş earthquakes and Groningen-induced seismicity effects. His work bridges experimental mechanics, computational modeling, and AI applications, addressing structural vulnerability and code compliance. Notable projects include shake table testing of masonry walls and sensor-based monitoring of construction vehicles. He contributes to interdisciplinary efforts in seismic risk assessment and cultural heritage preservation. Recent research emphasizes damage patterns from recent earthquakes, low-cost sensor solutions, and transfer learning for crack detection. His findings inform seismic codes and risk mitigation strategies globally.

Asger Bjørn JørgensenView profile

Assistant Professor

• Power Electronics Packaging
• Wide Bandgap Semiconductors
• Digital Design
• +3 more

Asger Bjørn Jørgensen is an Assistant Professor at AAU Energy, Aalborg University, and Head of the Center of Digitalized Electronics (CoDE). He holds M.Sc. (2016) and Ph.D. (2019) degrees in energy engineering from Aalborg University, with postgraduate and visiting research experiences at UNSW (Australia) and North Carolina State University (USA). His research focuses on power module packaging, wide bandgap semiconductors, and digital design using multi-physics simulation. He leads projects like CoDE (funded by Poul Due Jensen Foundation) and LIME (Innovation Fund Denmark), advancing power electronics for sustainable energy systems. Key research interests include SiC MOSFET packaging, thermal management, and medium-voltage applications. He has received the 2020 EPE Outstanding Young EPE Member Award and co-authored over 70 publications. His work contributes to UN SDG 7 (Affordable and Clean Energy) and SDG 9 (Industry, Innovation, and Infrastructure). Projects like PtXKonvertering and Modular Power Converter highlight his focus on industrial and sustainable energy solutions. Recent publications explore topics such as SiC MOSFET modeling, partial discharge analysis, and medium-voltage power stacks. He actively participates in conferences, workshops, and media outreach to disseminate research findings and promote the green energy transition.

Michael Skipper AndersenView profile

Professor

• Biomechanics
• Knee Osteoarthritis
• Musculoskeletal Modeling
• +5 more

Michael Skipper Andersen is a Professor in the Department of Materials and Production at Aalborg University's Faculty of Engineering and Science in Denmark. He leads research within the Section of Applied Systems Research Biomechanics and directs the Center for Mathematical Modelling of Knee Osteoarthritis. His work focuses on biomechanical analysis of knee joint mechanics, osteoarthritis progression, and musculoskeletal modeling. Andersen's research interests center on biomechanics with a strong focus on knee osteoarthritis. He employs mathematical modeling, experimental techniques, and clinical applications to understand joint mechanics, cartilage loading, and pain mechanisms. His work bridges engineering principles with clinical orthopedics, developing predictive models for knee osteoarthritis progression and innovative solutions for knee replacement surgery. He has made significant contributions to understanding how gait modifications, muscle strength, and joint loading affect knee health and disease progression. His recent publications (2023-2025) reveal a strong trend toward increasingly sophisticated biomechanical modeling of knee joint mechanics, with growing emphasis on clinical translation. His work spans multiple subfields including cartilage mechanics, gait analysis, joint laxity measurement, and knee replacement optimization. A notable focus is on developing predictive mathematical models of knee osteoarthritis (MathKOA project), personalized knee replacements (SPARK project), and robotic technologies for assessing knee injuries. His research demonstrates strong interdisciplinary collaboration across engineering, medicine, and clinical practice. Wearable Robotics Association's 2018 Innovation Challenge Grand Prize Winner (WearRAcon18) Mimics Innovation Award - Second Prize EMEA Region (2018) Winner of Fifth Grand Challenge Competition to Predict In Vivo Knee Loads (2014) Best research paper award: WHY DON'T ALL MALPOSITIONED RESURFACED CUPS HAVE HIGH WEAR? (2012) Andersen has secured substantial research funding from major Danish foundations including the Novo Nordisk Foundation, Independent Research Fund Denmark, and Innovation Fund Denmark. His current projects include MathKOA (2022-2027, Novo Nordisk Foundation), SPARK (2021-2025, Independent Research Fund Denmark), and several others focused on knee biomechanics and osteoarthritis. He supervises PhD students (5 mentioned in his profile) and collaborates extensively with clinical researchers and engineers across multiple institutions. His work has direct clinical impact, with media coverage highlighting potential applications for improving knee surgery outcomes and developing better knee prostheses. Andersen directs the Center for Mathematical Modelling of Knee Osteoarthritis and leads the Section of Applied Systems Research Biomechanics. His research group develops and applies advanced biomechanical modeling techniques, robotic measurement systems, and clinical assessment protocols. The team includes engineers, clinicians, and researchers working on mathematical modeling, experimental biomechanics, and clinical translation of their findings. Their work spans from fundamental biomechanical research to practical applications in knee replacement surgery and osteoarthritis management.