جست‌وجوی استاد و پژوهشگر

• Theology
• Religious Studies
• Philosophy
• +۳ مورد دیگر

Clemens Cavallin is a Professor at the NLA University College , specifically within the Kalfaret campus in Bergen. His academic work spans Theology, Religious Studies, Philosophy , and the intersection of Artificial Intelligence and Creativity . He holds a Ph.D. in History of Religions from the University of Gothenburg, Sweden, and his research focuses on ethical, philosophical, and pedagogical dimensions of religion and technology. Research Interests : Christian humanism and AI ethics Religious education in early childhood Phenomenology and spirituality Literary analysis of religious themes (e.g., Michael D. O’Brien’s works) Recent Publications (2022–2024) explore topics such as: The ethical implications of AI in education Spirituality in artistic practice Thomistic models of perfection in Christian life Comparative studies of preschool religious curricula in Nordic countries He leads the MishMash - Centre for AI & Creativity (2026), focusing on creative AI applications in education, and has contributed extensively to debates on globalization, religious studies, and Hinduism’s academic portrayal.

• Robotics
• Design Engineering
• Production Engineering
• +۵ مورد دیگر

A.J. Hidding is a researcher at the Faculty of Architecture and the Built Environment , Delft University of Technology. Their work focuses on integrating robotics, artificial intelligence, and sustainable design principles to develop innovative solutions for off-Earth habitat systems and terrestrial architectural applications. Active in robotics, design engineering, and human-robot interaction Key contributions to Mars habitat construction and AI-supported ambient control systems Recipient of Best Paper Award at FICTA 2024 (2024) Co-developer of the Rhizome project for autonomous off-Earth construction (2021) Collaborates with robotics experts, aerospace engineers, and AI researchers Their research output demonstrates a convergence of robotics , artificial intelligence , and sustainable architecture , with particular emphasis on collaborative robotic systems , adaptive environments , and planetary colonization . Recent publications explore computer vision integration, AI-supported human-building interaction, and robotic manufacturing for extraterrestrial habitats. Scientific awards include: Best Paper Award at FICTA 2024 Rhizome Project Recognition (2021) As part of their research, Hidding collaborates with interdisciplinary teams on projects like the Rhizome initiative, which aims to create autarkic design-to-robotic systems for off-Earth habitats. Their work has been featured in international conferences and peer-reviewed journals, with notable mentions in news media and social platforms like X.

• Optimization applied to complex problems
• Predictive modeling in healthcare
• Interpretable Machine Learning
• +۹ مورد دیگر

Sara Lumbreras Sancho is a Senior Associate Professor at the ICAI School of Engineering, Universidad Pontificia Comillas, where she graduated in 2006 as the Graduation Prize Winner. She serves as Deputy Director of Research Results at the Technological Research Institute and co-leads the Chair of Science, Technology, and Religion with Jaime Tatay. Her research focuses on decision support techniques for complex problems in energy, healthcare, and finance, leveraging optimization methods like Benders decomposition, heuristics, and AI. She also explores the philosophy of technology, transhumanism, and AI's impact on anthropology. With over 70 academic publications and leadership in over 20 projects, she bridges technical innovation with ethical and anthropological considerations. Education: Bachelor’s Degree in Engineering from ICAI School of Engineering (2006) PhD in Decision Support Methods for Large-Scale Flexible Transmission Planning (2014) Research Interests: Optimization techniques (stochastic, Benders, metaheuristics) Predictive healthcare modeling Interpretable machine learning AI ethics and responsible science Energy systems planning (wind farms, transmission networks) Philosophical implications of technology Grants & Projects: Lead researcher in EU-funded initiatives like DIAMOND and OPEN_ENTRANCE Collaborations with industries like Iberdrola, Enel, and Pharoes Advisory Transnational projects addressing energy transition challenges Awards: Global Shaper (World Economic Forum) Marshall Memorial Fellow Outreach: Chair of Cátedra de Ciencia, Tecnología y Religión Keynote speaker at conferences like EURO 2025 and Science and Religion Forum Author of books and book chapters on AI ethics, transhumanism, and science-religion dialogue

Cari Johnsonمشاهده پروفایل

استاد

• Geology
• Physical Geography
• Environmental Geoscience
• +۲ مورد دیگر

Dr. Cari Johnson is a Professor of Geology & Geophysics at the University of Utah, with a research focus on sedimentary basin analysis and tectonic evolution. Her work spans global perspectives on basin and energy systems, subsurface reservoir characterization, and anthropogenic sedimentary systems like Lake Powell. She has advised over 30 graduate and undergraduate researchers and postdoctoral associates. Geology & Geophysics Department, University of Utah Orcid: 0000-0002-6260-0736 Her research interests include tectonic evolution of Asia, sedimentary basin dynamics, energy systems modeling, and modern reservoir sediment analysis. She has led collaborative grants such as 'SUTURING THE HEART OF ASIA: TECTONICS OF THE MONGOL-OKHOTSK OCEAN CLOSURE' and industry partnerships with Chevron, ConocoPhillips, and Shell. Scientific awards include the Robert Mitchum Best Paper Award (2016), Grover E. Murray Distinguished Educator Award (2016), SEPM Outstanding Presentation Award (2016), and Fellow of the Geological Society of America (2015). She received the Dickinson Medal from the Society for Sedimentary Geology in 2021. Dr. Johnson's teaching activities encompass courses like Tectonics and Sedimentary Basins , Special Topics , and Field Geology . She served as Chair of the SEPM Foundation board (2025) and organized the Energy Transitions Conference (2024).

Greg Hamerlyمشاهده پروفایل

استاد

• Machine Learning
• Unsupervised Learning
• Data Clustering
• +۱۰ مورد دیگر

Greg Hamerly is a Professor and former Interim Chair (2022–2025) in the Department of Computer Science at Baylor University’s School of Engineering and Computer Science. He holds a PhD from the University of California, San Diego (2003) and specializes in machine learning, particularly unsupervised learning and data clustering, with real-world applications in medical imaging and ecological monitoring. PhD, University of California San Diego (2003) MS, University of California San Diego (2001) BS, California Polytechnic State University (1999) His research centers on the development and application of efficient machine learning algorithms. Key areas include improving k-means clustering techniques, federated learning, and applying AI to early detection of retinoblastoma through leukocoria in photographs and monitoring invasive aquatic species using video data. He has also contributed to computational thinking curriculum development. His recent publications reflect strong trends in unsupervised and self-supervised learning, with a focus on algorithmic efficiency, robustness, and real-world deployment in healthcare and environmental science. His work often combines clustering, deep learning, and computer vision for practical applications. Dubious awards (as humorously noted on personal website) Chief Judge for ICPC South Central USA regional competition (2018, 2019) Site Director for ICPC South Central USA regional competition (2010–2013, 2015–2019) Member of ICPC Live Analytics team at ICPC World Finals (2011–2015) Participant in ICPC World Finals as contestant (2000, 2001) Greg Hamerly has advised numerous graduate students, including PhD candidates now at Texas A&M Kingsville and Meta. He has secured research funding from the NSF, NIH, Department of the Interior, and Texas Parks and Wildlife Department. He is also deeply involved in competitive programming, having coached students and developed the Competitive Learning course at Baylor with over 300 original problems. He leads research projects on eye disease detection and invasive species monitoring, often in collaboration with interdisciplinary teams. His lab integrates algorithmic innovation with practical deployment, emphasizing accessibility and real-world impact.

Shan Wangمشاهده پروفایل

مدرس

• Product and Service Design for Ageing and Health
• Design for Healthier Community Spaces
• Visual Communication and User Experience (UX) Design
• +۳ مورد دیگر

Dr. Shan Wang is a Lecturer in Design Management at the University of Southampton, specializing in inclusive design, user experience (UX), and aging-related healthcare solutions. She leads postgraduate modules in Design Process and Innovation and Design Management Methods. Her research focuses on designing products/services for healthier aging, community spaces, and digital accessibility, employing interdisciplinary methods with partners like Solent NHS Trust and Protolyst Technologies. She holds a PhD in Design and has secured £25K in AHRC funding for her KEE Fellowship. Education: PhD in Design (not explicitly dated). Awards include the 2023 Most Engaging Lecturer (Highly Commended). She supervises PhD students in dementia design, aging-friendly services, and UX for virtual reality. Collaborations include the Global Smart Lab for emerging technologies in aging populations. Active in knowledge exchange, she promotes enterprise activities as the Department KEE Champion since 2025.

J. Hoeksemaمشاهده پروفایل

استاد پژوهشی

• Experimental Astrophysics
• Observational Astrophysics
• Cosmology
• +۳ مورد دیگر

J. Hoeksema is a Research Professor of Physics at Stanford University, specializing in experimental and observational astrophysics with a focus on solar dynamics, helioseismology, and magnetic field studies. His work integrates advanced instrumentation (e.g., HMI on SDO) with computational methods to model solar activity cycles and improve space weather forecasting. Research interests include solar interior dynamics, magnetic field evolution, polar field reversals, and the interplay between solar flows and magnetic fields. He leads initiatives like the COFFIES NASA DRIVE Science Center to unify global solar research efforts. Key projects include the Firefly constellation mission for comprehensive heliospheric exploration and the development of SuperSynthIA for enhanced vector magnetogram analysis. His contributions span helioseismic imaging, solar flux transport modeling, and machine learning applications in astrophysics. Notable achievements include advancing far-side magnetic flux prediction and improving HMI vector magnetic field inversion techniques. He collaborates internationally to address challenges in multi-satellite mission design and data standardization.

• Sustainable Design
• Artificial Intelligence in Architecture
• Environmental Sustainability
• +۳ مورد دیگر

Dima Alkawadri is an Assistant Professor at the School of Textiles & Design, Heriot-Watt University. She holds a PhD in Built Environment Sustainability. Her research focuses on integrating artificial intelligence, sustainable design, and user-centered approaches to enhance environmental and architectural practices. Education: PhD in Built Environment Sustainability (Heriot-Watt University, 2024). Research Interests: Sustainable Design, AI-driven solutions in fashion and architecture, facility management optimization, and user-centric sustainability frameworks. She explores topics like generative AI for waste reduction, defect reporting in UAE facilities, and participatory backcasting methods. Her publications highlight trends in AI applications for sustainable garment design, facility maintenance contracts analysis, and frameworks for built environment sustainability. She is actively accepting PhD students. Lab/Team: Engaged in interdisciplinary projects at the School of Textiles & Design, focusing on AI and sustainability intersections.

Pascal Audetمشاهده پروفایل

استاد

• Geophysics
• Seismology
• Plate Tectonics
• +۳ مورد دیگر

Pascal Audet is a Full Professor in the Department of Earth and Environmental Sciences at the University of Ottawa. He holds a BSc from Université de Montréal (2002), an MSc from Université du Québec à Montréal (2004), and a PhD from the University of British Columbia (2008). His research focuses on the rheology, structure, and evolution of the lithosphere, utilizing seismology and potential field analysis. Key themes include subduction zones, the Northern Canadian Cordillera, continental deformation, and planetary lithospheric dynamics. Research interests span geophysics (e.g., seismology, plate tectonics), subduction zone mechanics, and lithospheric structure. His work integrates field studies, computational modeling, and software development (e.g., RfPy, SplitPy) to advance understanding of Earth’s interior. Notable projects include the Western Arctic Regional Network of Seismographs (WARNS) and studies on fluid dynamics in subduction zones. Recent publications highlight advancements in seismic tomography, lithospheric strength, and Arctic tectonics. Audet collaborates globally, contributing to initiatives like the Canadian Cordillera Array and deep learning tools for seismic event detection. His lab, uOttawa Geophysics, fosters interdisciplinary education and geodynamic research.

• Technological and Environmental Design of Architecture
• Circular Building Products
• Living Wall Systems
• +۸ مورد دیگر

Elena Piera Montacchini is an Associate Professor at the Department of Architecture and Design (DAD) of the Polytechnic University of Turin. Her work bridges technological innovation with environmental design, focusing on circular building products, living wall systems, and nature-based solutions. She actively participates in the Italian Society of Architectural Technology (SITdA) and the Green Building Council Italy's Circular Economy working group. Member of TESIS Interuniversity Research Center Co-founder of Growing Green srl spin-off Scientific Director for multiple EU-funded environmental projects Her research emphasizes low-impact construction materials, building-integrated vegetation (BIV), and user-centered design that addresses psycho-emotional/social needs. She coordinates international Memoranda of Understanding with institutions like the Faculty of Interior Architecture in Bucharest and RiceHouse srl. Recent projects include 2025: Development of educational living wall prototypes 2025: Circular material experiments in Langhe vineyards 2024: Digital climate mitigation frameworks She mentors PhD candidates Carlotta Fasano and Jacopo Gasparotto in sustainable and circular systems research. Scientific Recognition Recipient of 2013 Sustainable Development Award from Fondazione per lo Sviluppo Sostenibile Peer reviewer for leading architectural technology journals

Iro Armeniمشاهده پروفایل

استادیار

• Computer Vision
• 3D Scene Understanding
• Built Environment
• +۵ مورد دیگر

Iro Armeni is an Assistant Professor in the Civil and Environmental Engineering Department at Stanford University's School of Engineering. She leads the Gradient Spaces research group, focusing on the intersection of civil engineering, architecture, and machine perception to design and construct data-driven environments across physical and digital space. Her educational background is highly interdisciplinary: PhD in Civil and Environmental Engineering with Minor in Computer Science from Stanford University (2020), Postdoctoral Researcher at ETH Zurich (2023), MSc in Computer Science from Ionian University (2013), MEng in Architectural Engineering from University of Tokyo (2011), and Diploma in Architectural Engineering from National Technical University of Athens (2009). Before academia, she worked as an architect and consultant for both private and public sectors. Dr. Armeni's research focuses on developing quantitative and data-driven methods that learn from real-world visual data to generate, predict, and simulate new or renewed built environments with humans at the center. She is particularly interested in creating gradient spaces that blend 100% physical (real reality) to 100% digital (virtual reality) using Mixed Reality. Her work spans computer vision, 3D scene understanding, semantic mapping, and their applications in the built environment. Her recent publications demonstrate significant contributions across multiple venues including CVPR, ECCV, SIGGRAPH, and ISPRS Journal, with research themes centered around 3D scene understanding, appearance transfer, scene synthesis, SLAM in dynamic environments, and semantic mapping. Her work shows a consistent trajectory toward creating sustainable, inclusive, and adaptive built environments that support current and future physical and digital needs. She has received prestigious awards including the ETH Zurich Postdoctoral Fellowship, Google PhD Fellowship, and MEXT Scholarship. Her teaching includes graduate courses such as Designing for Gradient Spaces (CEE342), Computer Vision for the Built Environment (CEE247C), and AI Applications in AEC (CEE329), reflecting her interdisciplinary approach to integrating machine perception with civil engineering applications.

Gülşah KARYAĞDIمشاهده پروفایل

استادیار

• Sustainable Design
• Interior Architecture
• Digital Innovation
• +۴ مورد دیگر

Dr. Gülşah KARYAĞDI is an Assistant Professor in the Department of Interior Architecture at Beykent University's Faculty of Engineering and Architecture. She has held academic positions at Yeditepe University, Istanbul Sabahattin Zaim University, Istanbul Arel University, Fatih Sultan Mehmet Foundation University, and Gedik University, demonstrating a strong commitment to architectural education across multiple institutions. Education Associate Degree, Atatürk University, Faculty of Open and Distance Education (2021-2023) Ph.D., Mimar Sinan Fine Arts University, Institute of Science (2016-2020), Thesis: Analysis of design criteria and examples of shared dining areas in shopping malls Master's Degree, Mimar Sinan Fine Arts University, Institute of Science (2009-2015), Thesis: Scandinavian wooden furniture 'Chair' Bachelor's Degree, Beykent University, Faculty of Engineering and Architecture (2002-2008) Research Focus Her research explores sustainable design methodologies, cultural design principles (including Wabi Sabi and Feng Shui), and the integration of digital innovations like AI and the metaverse into interior architecture. She critically examines how technology reshapes spatial experiences and advocates for environmentally conscious material choices. Publication Trends Recent works emphasize sustainability, digital transformation in design, cultural applications in architecture, and futuristic concepts like virtual interiors. Her research bridges traditional design wisdom with contemporary technological advancements, often presented at international conferences. Additional Activities No awards, student advisements, grants, or lab affiliations are documented in the provided materials.

Wilbert Taboneمشاهده پروفایل

پژوهشگر

• Augmented Reality
• Human-Computer Interaction
• Pedestrian-Vehicle Interaction
• +۷ مورد دیگر

Wilbert Tabone is a researcher at Delft University of Technology , affiliated with the Industrial Design Engineering school and Emerging Materials department. His work bridges Augmented Reality (AR) , Human-Computer Interaction (HCI) , and Pedestrian-Vehicle Interaction to enhance safety in automated transportation systems. He also explores Digital Cultural Heritage and Artificial Intelligence (AI) applications in museums and education. Research Trends : Tabone's recent publications focus on AR interfaces for pedestrian-automated vehicle communication, safety protocols in occluded scenarios, and immersive technologies like CAVE-based experiments. His work integrates Human Factors and User Experience Design to address challenges in urban mobility and AI ethics. Projects & Collaborations : He contributed to the EU-funded Shape-IT project (2019–2024), which developed human-AV interaction frameworks. Collaborators include J.C.F. de Winter, D. Dodou, and R. Happee. Media & Public Engagement : Tabone has been featured in international media (e.g., ICOM UK) and Maltese outlets, discussing AI's role in empowering society and Malta's national AI strategy.

Yangbo Yeمشاهده پروفایل

استاد

• Number Theory
• Medical Imaging
• Automorphic Forms
• +۳ مورد دیگر

Yangbo Ye is a Professor in the Department of Mathematics at the University of Iowa. He holds a PhD from Columbia University. His research focuses on Number Theory and Medical Imaging, with notable contributions in automorphic forms, L-functions, and advancements in medical image reconstruction techniques. His work bridges pure mathematics and applied fields, particularly in computational tomography and deep learning applications. Ye's research in Number Theory includes studies on analytic aspects of automorphic forms, subconvexity bounds for L-functions, and applications of Petersson's formula. In Medical Imaging, he has developed algorithms for CT reconstruction, including framelet-based methods and neural network approaches for tumor segmentation. His interdisciplinary work has led to advancements in both theoretical mathematics and practical medical imaging technologies. Selected publications highlight his exploration of GL(n) automorphic forms, resonance sums, and innovative CT scanning methodologies. Despite his extensive publication record, no specific awards or grants are explicitly listed in the provided text. He advises no listed students but has collaborated on numerous projects in computational mathematics and biomedical imaging. Ye’s research also extends to algebraic structures in number theory, including functoriality and Dirichlet series, while his medical imaging work addresses challenges in spiral CT data reconstruction and interior tomography. His contributions reflect a deep integration of mathematical theory with real-world applications in healthcare technology.

Jovanka Lukićمشاهده پروفایل

استاد

• Automotive Engineering
• Vehicle Dynamics
• Ergonomics
• +۳ مورد دیگر

Jovanka Lukić is a Professor and Chair of the Department for Motor Vehicles and Engines at the Faculty of Engineering, University of Kragujevac. Her research focuses on automotive engineering, vehicle dynamics, and ergonomics with a strong emphasis on environmental impact and sustainable transportation solutions. She leads studies on brake wear pollution, electric vehicle optimization, and driver comfort under vibration exposure. Her academic contributions span over three decades, addressing technical challenges in vehicle design, energy systems, and human-machine interaction. Key areas include: (1) Development of predictive models for brake wear particle emissions, (2) Optimization of vehicle suspension and transmission systems, (3) Application of AI/ML for comfort assessment, and (4) Sustainable materials in automotive manufacturing. She holds a prominent position within the Department’s Motor Vehicles and Motors unit, overseeing cutting-edge research facilities including specialized dynamometers and vibration testing laboratories. Her work integrates mechanical engineering principles with environmental science to address global transportation challenges.