Find Academic Supervisors

• Architecture
• Art and Landscape Integration
• Problem-Based Learning (PBL) in Architecture Education
• +3 more

Gro Rødne is an Associate Professor at the Department of Architecture and Technology, Faculty of Architecture and Design, NTNU. She serves as the study program leader for the master's program in Architecture and Project Manager of the TRANSark initiative. She holds a degree in architecture from the Norwegian Technical University (NTH) and has extensive experience in both academic roles and architectural practice, including co-founding Agraff Architects (2001–2016). Her research focuses on the intersection of architecture, art, and landscape, emphasizing hands-on learning through the 'Making is Thinking' approach. Education: Graduated in Architecture from NTH (1993), with additional studies at the Academy of Fine Arts. Academic roles include course coordination for foundational and advanced architecture courses, emphasizing problem-based learning (PBL). Research Interests: Cross-disciplinary collaboration between architecture and creative fields, transformative learning through making, and experimental pedagogical frameworks. Recent projects include large-scale installations like Exploding windows (2024) and ULL INSTALLASJON (2021), blending art and architecture to explore public space engagement. Publications span architectural pedagogy, experimental installations, and collaborative design workshops. Her work often highlights interdisciplinary methods and community-driven projects. Notably, she contributed to TRANSark Publication - Book 0 (2014) and co-authored chapters in The Power of Experiment (2017). She has led workshops like re-ACT by Design (2018) and reMaking is reThinking (2017), fostering innovation in architectural education. Her research emphasizes trust, risk-taking, and creativity in learning environments. Labs/Teams: Active in TRANSark, a center for transformative architectural education at NTNU. Collaborations include partnerships with Circa Teater, KORO (art in public spaces), and international institutions like the University of Antwerp.

Marc BoyerView profile

Professor

• Formal Methods
• Network Calculus
• Real-Time Systems
• +7 more

Marc Boyer is a Research Director at ONERA, the French Aerospace Lab, within the Department of Aerospace and Information Systems Technologies (DTIS). He is actively affiliated with the Université de Toulouse, where he teaches at the M2 level in computer science and engineering programs at UPS and ENSEEIHT. His research lies at the intersection of formal methods, real-time systems, and embedded networking, with a strong focus on network calculus and Time-Sensitive Networking (TSN). Institution: ONERA / DTIS Teaching Affiliations: Université de Toulouse (UPS, ENSEEIHT) Doctoral School: MITT (Mathematics, Computer Science, Telecommunications) His research interests include formal verification of real-time networks, worst-case performance evaluation, scheduling models, and deterministic networking. He has made significant contributions to the theoretical and practical application of network calculus in avionics (AFDX), automotive, and space systems. His work bridges theory and industry applications, particularly in safety-critical domains. His recent publications (2020–2024) show a consistent focus on refining network calculus models for TSN, CQF, credit-based shaping, and sporadic traffic integration. These works are published in top-tier venues such as ECRTS, RTAS, ETFA, and IEEE Transactions, indicating high impact and relevance in real-time systems research. Best Paper Award, JRWRTC 2023 Best Paper Award, ICATPN 2007 Co-chair, RTNS 2023 Program Committee Active in ECRTS, RTAS, DATE, ETFA program committees Marc Boyer supervises multiple PhD students and offers internships through the MITT doctoral school. He leads the MOIS doctoral reception team and is involved in industrial challenges like Resilient TSN. He has developed tools like NC-maude for formal analysis and contributes to open research datasets and reproducibility. His work combines theoretical rigor with practical implementation, influencing both academic and industrial standards in deterministic networking. He is also active in educational outreach, delivering lectures on digital transformation and cognitive biases in engineering, and promoting tools like Emacs for productivity.

Remment KoolhaasView profile

Professor

• Urban Design
• Architecture Theory
• Urbanism
• +5 more

Remment Koolhaas is a Professor in Practice of Architecture and Urban Design at Harvard University’s Graduate School of Design (GSD). He leads OMA (Office for Metropolitan Architecture) and AMO, a research think tank addressing social, economic, and technological issues. Koolhaas, educated at the Architectural Association in London, is renowned for radical designs like the Seattle Central Library and the CCTV Headquarters in Beijing. His academic work includes the Project on the City, analyzing global urbanization trends in China’s Pearl River Delta, Lagos, and Rome. Key Projects: Netherlands Embassy (Berlin), Prada Epicenter (LA), Casa da Música (Porto). Awards: Pritzker Architecture Prize (2000), Praemium Imperiale (2003), Mies van der Rohe Award (2005). Research Focus: Urbanism, conservation history, public art, architectural theory. His writings, including S,M,L,XL (1995) and Delirious New York (1978), redefine architectural discourse. Recent work explores the book’s future through collaborations like The Book in the Age of … (2023). Koolhaas’ influence spans academia, practice, and cultural critique, cementing his role as a transformative architectural thinker.

Matthew H. JohnsonView profile

Professor

• Archaeology
• Historical Archaeology
• Medieval Studies
• +3 more

Matthew H. Johnson is the Kenneth F. Burgess Professor of Anthropology at Northwestern University, specializing in historical archaeology with a focus on medieval and early modern Europe. He holds a PhD from the University of Cambridge (1990) and has held visiting positions at institutions such as UC-Berkeley, Heidelberg University, and UCLA. His research explores the archaeology of the British Isles, castles, and the intersection of material culture with cultural identity. Johnson has authored influential books like Archaeological Theory: An Introduction (2019) and Behind the Castle Gate (2002), and his work frequently bridges interdisciplinary approaches to understanding historical landscapes and social structures. Education: PhD in Archaeology, University of Cambridge (1990) Affiliations: Department of Anthropology, Northwestern University Key Projects: Bodiam Castle collaborative study, archaeology of capitalism, and Atlantic world material landscapes His research interests include medieval castles as social spaces, the archaeology of capitalism, and the cultural interpretation of landscapes. Awards include a 2019 Guggenheim Fellowship. Johnson’s current work examines English material landscapes from the Middle Ages to colonial contexts, emphasizing long-term identity formation through material culture. Grants & Awards: Guggenheim Fellowship (2019), multiple book prizes Labs/Teams: Archaeological Survey of Colonial Dominica, Spatial and Cartographic Analysis of Landscape and Environments (SCALE) Lab

Richard J. FurnstahlView profile

Professor

• Effective field theory
• Renormalization group methods
• Computational nuclear physics
• +3 more

Richard J. Furnstahl is a Professor in the Department of Physics at The Ohio State University. His research focuses on effective field theory (EFT), renormalization group methods, computational nuclear physics, and low-energy nuclear theory. He holds prestigious fellowships from the American Physical Society (2001) and the American Association for the Advancement of Science (2007), and was recognized as an APS Outstanding Referee (2009). He also received the OSU Alumni Award for Distinguished Teaching (1997). Education: B.S. in Physics from MIT (1981), Ph.D. in Physics from Stanford University (1986). Research emphasizes applying EFT and Bayesian methods to nuclear systems, including neutron star equations of state, nucleon-nucleon scattering, and uncertainty quantification. His work bridges computational techniques like eigenvector continuation and reduced-order emulators with foundational theories such as chiral EFT. Recent efforts focus on interpolating between small- and large-coupling regimes and quantifying correlated truncation errors in dense nuclear matter models. Key contributions include developing the Density Matrix Expansion approach for energy density functionals and advancing the FRIB Theory Alliance for nuclear dynamics studies. His emulators reduce computational costs while maintaining accuracy in scattering problems. He also explores the intersection of machine learning and nuclear theory through Bayesian additive regression trees and neural network applications. He leads projects on nuclear symmetry energy, proton Compton scattering experiments, and the NUCLEI initiative for ab initio nuclear structure calculations. His work emphasizes rigorous uncertainty analysis and theoretical consistency across scales.

Francesca VidottoView profile

Assistant Professor

• Loop Quantum Gravity
• Cosmology
• Foundations of Physics
• +5 more

Francesca Vidotto is an Assistant Professor at Western University, holding a joint appointment in the Department of Physics & Astronomy and the Department of Philosophy. She is a Tier 2 Canada Research Chair in the Foundations of Physics and affiliated with the Rotman Institute of Philosophy. Her research focuses on quantum gravity, cosmology, and foundational issues in physics, particularly Loop Quantum Gravity (LQG) and its implications for spacetime structure and cosmological singularities. Education: PhD in Physics (2012, University of Pavia, Italy) with adjoint supervision at Aix-Marseille University; Laurea (M.Sc.) in Physics (2008, University of Padova). Awards: Scharzschild-Springer Prize (2015), NVH Jubilee Prize (2015), and Honorable Mentions from the Gravity Research Foundation (2014, 2010). Grants: NWO Veni and Rubicon Fellowships, and a Croatian Science Foundation grant for the 'Exploring the Quantum Universe' project. Her research interests include Spinfoam Cosmology, quantum black holes, and the interface between physics and philosophy. She has pioneered covariant approaches to quantum cosmology and explored quantum gravity signatures in primordial black holes and cosmological models. She has supervised multiple students in quantum gravity, cosmology, and related fields, and actively engages in public outreach through lectures and science-art collaborations.

• Remote Sensing
• Wireless Communications
• Astronomy
• +3 more

Sean Bryan is an Associate Research Professor at Arizona State University (ASU), part of the School of Earth and Space Exploration. He specializes in developing novel systems and algorithms for remote sensing, wireless communications, and astronomy. Since 2014, he has contributed to major projects such as the SPIDER balloon-borne telescope and the NASA CubeSounder mission, which aims to map atmospheric water vapor for improved weather forecasting. As the survey schedule lead for the SPHEREx IR satellite mission, he plays a key role in advancing astronomical surveys. His education includes a Ph.D. in Physics from Case Western Reserve University (2014) and a B.S. in Physics from the University of Minnesota (2006). His research focuses on cutting-edge instrumentation for cosmic microwave background (CMB) studies, including work on the TolTEC camera and the Simons Observatory. He has pioneered signal processing techniques for wireless communications and balloon-borne telescopes, with a strong emphasis on interdisciplinary applications in space exploration and Earth science. Bryan’s technical contributions span cryogenic systems, detector arrays, and data analysis pipelines. He leads teams in designing and testing advanced instruments for suborbital and orbital missions, ensuring their readiness for extreme environmental conditions. His work bridges theoretical astrophysics with practical engineering, addressing critical challenges in observational cosmology and atmospheric science.

Emily TuckerView profile

Assistant Professor

• Social Good Operations Research
• Stochastic Optimization
• Quantum Optimization
• +3 more

Emily Tucker is an Assistant Professor in the Department of Industrial Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. Her research bridges operations research, stochastic modeling, and healthcare logistics to address critical societal challenges. Education: Ph.D. in Industrial and Operations Engineering, University of Michigan (2020) M.S.E. in Industrial and Operations Engineering, University of Michigan (2017) B.S. in Industrial and Systems Engineering, North Carolina State University (2013) Her research focuses on stochastic optimization, quantum computing applications, supply chain resilience, and healthcare policy. Recent work includes geopolitical impacts on pharmaceutical supply chains, equitable urban planning through optimization, and pandemic response strategies. Key publication trends show integration of stochastic modeling with healthcare operations (2020-2025), quantum optimization advancements, and resilience frameworks for disaster relief and global health equity. Her work spans theoretical algorithm development and real-world implementation in public health and supply chain domains. Professional Affiliations: Senior Member, Institute of Industrial and Systems Engineers (IISE) Member, Institute for Operations Research and the Management Sciences (INFORMS) She teaches graduate courses in transportation engineering, optimization theory, and uncertainty modeling. Research emphasizes policy-driven supply chain solutions and social good applications of operational research.

• Mathematical Statistics
• Machine Learning
• Kernel Methods
• +3 more

Prof. Dr. Nicole Mücke is a Professor in the Institute for Mathematical Stochastics at the Carl-Friedrich-Gauss Faculty of Technische Universität Braunschweig. Her research focuses on mathematical statistics, machine learning, kernel methods, and statistical inference. She explores topics such as neural network theory, inverse problems, optimization, and regularization techniques. Her work bridges theoretical foundations with practical applications in areas like distributed computing and uncertainty quantification. Prof. Mücke’s research portfolio includes contributions to empirical risk minimization, neural operator learning, and gradient-based optimization. She investigates the interplay between overparameterization and generalization in machine learning models, as well as the design of efficient algorithms for large-scale problems. Her publications span topics ranging from distributed stochastic gradient descent to localized kernel regression techniques. Her recent work emphasizes theoretical guarantees for learning algorithms, including convergence rates, statistical performance in high-dimensional settings, and the role of regularization in inverse problems. She also explores methodological advancements in spectral methods, algorithm unfolding, and data-splitting strategies to enhance statistical efficiency. Prof. Mücke’s research is characterized by a strong emphasis on rigorously analyzing machine learning algorithms through the lens of statistical theory and functional analysis. Her contributions address challenges in both classical and modern machine learning paradigms, with a focus on bridging the gap between abstract mathematical frameworks and practical implementation.

Michael MöllerView profile

Professor

• Computer Vision
• Machine Learning
• Inverse Problems
• +2 more

Michael Möller is a Professor at the University of Siegen, leading the Lehrstuhl für Computer Vision within the Institute for Vision and Graphics. His research spans computer vision, machine learning, and optimization, with applications in medical imaging and computational geometry. Research Interests: Focuses on solving inverse problems in imaging, neural architecture optimization, and quantum-hybrid computational methods. His work integrates deep learning with traditional optimization for scalable solutions in 3D reconstruction and image analysis. Publications: Recent articles explore advancements in neural architecture search robustness, quantum annealing for shape matching, and data-driven regularization techniques for CT reconstruction, reflecting cross-disciplinary applications.

• Fluid Dynamics
• Ocean Modelling
• Computational Mechanics
• +6 more

Dr. Elnaz Naghibi is a Senior Lecturer in Mechanical Engineering at the University of East London, affiliated with the Research Institute of Architecture, Computing & Engineering. Her work bridges fluid dynamics, computational mechanics, and interdisciplinary engineering applications. Research Interests: Her primary research spans turbulent flows, ocean-atmosphere interactions, and geophysical fluid dynamics, with applied focus on reduced-order modeling, machine learning for jet flow analysis, and continuum robotics. Key themes include: Advanced numerical methods for ocean/climate systems (e.g., Southern Ocean jet dynamics) Data-driven approaches in aeroacoustics and high-Reynolds flows Nonlinear dynamics in materials and mechanical systems Publication Trends: Recent works emphasize machine learning integration in fluid dynamics (2022–2024), building on earlier foundations in spectral methods (2018–2019) and continuum robotics (2017–2020). Dominant fields include computational fluid dynamics (7/11 papers), geophysics (4/11), and robotics (3/11), reflecting strong cross-disciplinary collaboration.

David BarrettView profile

Research Fellow

• Sport Participation
• Volunteering
• Spatial Analysis
• +5 more

David Barrett serves as a Research Fellow at Sheffield Hallam University's School of Sport and Physical Activity within the College of Health, Wellbeing and Life Sciences, where he has contributed to the Sport Industry Research Centre (SIRC) for over 16 years. Specializing in GIS and spatial data analysis, he partners with national sport organizations across the UK and Ireland—including the Gaelic Athletic Association, Sport England, and UK rugby governing bodies—to enhance research capacity on participation trends, volunteering dynamics, talent pathways, and economic impact assessments. Barrett's research centers on the critical relationship between volunteer workforces and sport participation, particularly examining how voluntary sports clubs sustain participation opportunities amid socioeconomic pressures. His expertise in transforming organizational 'business as usual' data into strategic insights informs studies on cost-of-living impacts, pandemic recovery in grassroots sport, and the socioeconomic value of Gaelic Games. Methodologically, he integrates spatial database management, large-scale surveys, and qualitative stakeholder analysis to address complex sector challenges. Recent publication trends reveal Barrett's focus on external shock resilience (Covid-19, cost-of-living crises), talent pathway inclusion across UK/Irish nations, and the economic-social valuation of sport. His work consistently bridges academic rigor with practical application for sport governing bodies, emphasizing spatial analytics and longitudinal data to track participation shifts and organizational adaptation. Scientific recognition includes: Fellow of the Royal Geographical Society (FRGS) Barrett has led major commissioned research for Sport England, UK Sport, and the GAA—including facility audits across four UK/Irish football associations and the landmark Gaelic Games economic valuation study. His advisory role extends to local authorities and professional clubs like Celtic FC, where he translates data into strategic frameworks for sport development. As an active hockey volunteer and contributor to The Hockey Paper, he maintains direct engagement with community sport dynamics. Based at SIRC, Barrett collaborates within Sheffield Hallam's sport research ecosystem, leveraging partnerships with national governing bodies to advance evidence-based policy. His current projects examine outdoor learning infrastructure and Camogie participation baselines, continuing SIRC's tradition of impactful sport sector consultancy.

Natalie HaynesView profile

Professor

• Hospitality Revenue Management
• Hotel Pricing Strategy
• Big Data Applications in Tourism
• +4 more

Natalie Haynes serves as Division Head for Global Business, Hospitality and Tourism Management within Sheffield Business School at Sheffield Hallam University, leading academic programs in international business, hospitality management, tourism management, and aviation. Her leadership spans recruitment, employability, and international partnerships since assuming the role in 2024. Her research expertise focuses on Hospitality Revenue Management , Hotel Pricing Strategy , and Big Data Applications in Tourism , with significant contributions to understanding how data-driven systems impact pricing decisions. She examines revenue management across diverse sectors including hotels, campsites, and visitor attractions, while also exploring gender dynamics in the event industry. Analysis of her 15 most recent publications reveals a strong emphasis on post-pandemic revenue recovery , temporal pricing models , and ethical considerations in hospitality operations . Her work bridges theoretical economic principles with practical revenue management applications, increasingly incorporating big data analytics while questioning over-reliance on automated systems. Senior Fellow of the Higher Education Authority Editorial Board Member, Journal of Tourism Futures Natalie actively supervises DBA and PhD students in innovation and smart services while serving as an external examiner for other institutions. Her industry background in hotel sales, marketing, and revenue management with major brands provides practical grounding for her academic work, particularly evident in her collaborative white paper on hospitality management education with the Council of Hospitality Management Education.

Javid BayandorView profile

Associate Professor

• Space explorations and mission design
• collision dynamics and crashworthiness
• aerospace conceptual design
• +5 more

Javid Bayandor serves as Associate Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research bridges theoretical aerospace engineering with practical applications in space exploration and bioinspired systems. Education: Postdoctoral Research in Aerospace Structures, The Royal Melbourne Institute of Technology (2000-2001) PhD in Aerospace Engineering, The Royal Melbourne Institute of Technology (2000) His research portfolio spans eight core areas: space mission design, collision dynamics, aerospace conceptualization, space physics, ballistics, bioinspired robotics, advanced structures, and fluid-structure interactions. This interdisciplinary approach integrates computational modeling with experimental validation to solve complex engineering problems across aerospace and biological domains. Current projects demonstrate particular strength in developing innovative solutions for extreme environments including space and underwater applications. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research trajectories: (1) Space mission architectures for Mercury, Venus, and Mars featuring novel entry/landing systems; (2) Impact dynamics studies covering hypervelocity collisions, bird/drone strikes on urban air mobility vehicles, and spacecraft shielding; (3) Bioinspired flight mechanics focusing on bee and bat aerodynamics under environmental stressors. These threads consistently employ fluid-structure interaction methodologies across scales. Scientific Awards: No awards or honors were documented in the provided source material While specific student advising relationships aren't enumerated, his research scope suggests supervision of graduate students in computational mechanics, space systems, and bioinspired robotics. The publication record indicates sustained grant funding for hypervelocity impact studies, space mission design, and bioflight mechanics, though specific grant details aren't provided. His work likely connects with NASA mission development programs and urban air mobility safety initiatives. The research ecosystem appears centered around computational laboratories specializing in fluid-structure interaction modeling, with potential connections to experimental impact testing facilities and biological flight observation setups for bioinspired studies.

Hussein NassarView profile

Assistant Professor

• Elasticity
• Geometry
• Solid Mechanics
• +3 more

Hussein Nassar is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Missouri, College of Engineering. He holds a PhD from Université Paris-Est, an MSE from École des Mines – ParisTech, and a BS from Sorbonne Université. His research focuses on connections between elasticity, geometry, and wave mechanics with applications in architected materials and metamaterials. Research interests span solid mechanics, lattice structures, origami-inspired designs, and wave propagation phenomena. His work combines theoretical modeling with computational approaches to develop novel material systems with tailored mechanical properties. Recent publications demonstrate consistent focus on metamaterials and wave mechanics, with emerging themes in origami engineering and computational tutorials. Articles frequently explore deformation mechanisms, transformation elasticity, and wave manipulation through geometric design. Awards: NSF CAREER Award