جست‌وجوی استاد و پژوهشگر

Andrea Cancliniمشاهده پروفایل

مدرس

• Modern Architecture
• Contemporary Architecture
• Architectural Criticism
• +۵ مورد دیگر

Andrea Canclini is a Lecturer in Architecture at Lancaster University's School of Architecture, previously serving as Lecturer at Politecnico di Milano and Visiting Professor at Beirut Arab University. His academic roles include teaching Theory in Contemporary Architectural Design, Design Studio, and convening Architectural Humanities modules. His research focuses on modern/contemporary architectural criticism's cultural foundations, European-American architectural discourse, Japanese-Western architectural relations, and border/spatial exception studies. He holds a PhD from Politecnico di Torino (2015) and has organized conferences like EAHN 2022 and led the VII CIAM anniversary committee. His work spans 14 countries, including peer-reviewed articles in journals like The Plan Journal and aut aut , with publications exploring topics such as Tokyo’s Olympic Stadium, Beijing courtyard renovations, and Palestinian refugee camps. Canclini’s awards include the 2015 Politecnico di Torino Best PhD Student award and competitive research scholarships. His research groups include Cultures Imagination and Social Design, focusing on phenomenology, sustainability, and architectural ethics. He advises PhD candidates on architectural history, theory, and border studies.

Filip Strömbäckمشاهده پروفایل

دانشیار

• Computer Science Education
• Software Engineering
• Concurrent Programming
• +۳ مورد دیگر

Filip Strömbäck is an Associate Professor at Linköping University's Department of Computer and Information Science (IDA), part of the Software and Systems (SAS) division. His research focuses on computer science education, software engineering, and dynamic software systems. His work bridges pedagogical frameworks and technical systems, emphasizing teaching methodologies in programming and software maintenance. Key contributions include studies on abstraction skills development, human-machine teaching dynamics, and TA insights into complex CS concepts. Collaborating with colleagues like Daniel Varro and Pontus Haglund, his articles explore topics ranging from dynamic software updates to concurrent programming education. He contributes to the Graduate School in Computer Science (CUGS) and the SAS division’s research on software engineering and industry collaboration.

Dany Vargheseمشاهده پروفایل

پژوهشگر ارشد

• Inductive Logic Programming
• Explainable AI
• Computer Vision
• +۲ مورد دیگر

Dr. Dany Varghese is a Research Fellow in the Department of Computer Science at the University of Surrey's School of Computer Science and Electronic Engineering. He specializes in Learning and Reasoning using Inductive Logic Programming (ILP), focusing on developing transparent and interpretable machine learning systems. As a Fellow of the Higher Education Academy (FHEA), he maintains strong connections with Jyothi Engineering College in India where he previously served as Assistant Professor (2015-2019). His research develops computationally efficient methods for human-like learning from minimal data, particularly for critical applications like plant disease detection and medical diagnostics. He created the PyGol system - an explainable machine learning framework implementing Meta Inverse Entailment principles that outperforms traditional deep learning approaches in few-shot learning scenarios. Dr. Varghese has developed several influential tools including PyILP (Python interface for ILP systems), InfIntE (for microbial interaction inference), and contributes to the Meta Inverse Entailment framework. His collaborative work spans healthcare diagnostics, agricultural technology, and microbial ecology. Scientific Awards: Fellow of the Higher Education Academy (FHEA) Teaching Experience: Lab coordinator for Data Mining & Machine Learning (University of Surrey) Former Assistant Professor at Jyothi Engineering College (India) Lecturer at Government Engineering College (India)

• Artificial Intelligence
• Machine Learning
• Probabilistic Circuits
• +۳ مورد دیگر

Devendra Singh Dhami is an Assistant Professor in Mathematics and Computer Science at Eindhoven University of Technology, specializing in uncertainty in artificial intelligence. His research develops advanced methods in probabilistic circuits, neural-symbolic learning, and causal inference for applications in computer vision and bioinformatics. Key research areas include machine learning scalability, graph-based biological network analysis, and satellite image processing for infrastructure risk detection. His work frequently integrates deep learning with symbolic reasoning. Recent publications focus on neuro-symbolic systems, temporal causality, and efficient algorithms for large-scale data. Trends show strong emphasis on interpretable AI and cross-disciplinary applications. No awards, students, or lab details are documented.

Daniel Jönssonمشاهده پروفایل

دانشیار

• Visualization
• Machine Learning
• Medical Imaging
• +۳ مورد دیگر

Associate Professor Daniel Jönsson works at the intersection of visualization and machine learning at Linköping University's Department of Science and Technology (ITN) and Media and Information Technology (MIT) division. He leads research in transforming complex datasets into intuitive visual representations, with applications in medical imaging and neuroscience. As a core developer of the Inviwo visualization software, he emphasizes interdisciplinary collaboration across fields like AI and radiology. His work includes developing tools like VisualNeuro for brain cohort studies and exploring neural network interpretability. Research focuses on visualization techniques for high-dimensional data, including fMRI analysis and neural network exploration. Notable achievements include an honorable mention at the IEEE VIS conference (2016) for brain imaging visualization work. Collaborations with CMIV (Center for Medical Image Science and Visualization) highlight his commitment to clinical and medical research applications. Publications emphasize combining visualization with machine learning, addressing challenges in data readiness for AI projects and improving neural network analysis. His contributions span software development, algorithm design, and cross-disciplinary methodological advancements in data-driven decision-making.

• Science Education
• Technology Education
• Chemistry Education
• +۳ مورد دیگر

Astrid Berg is an Associate Professor at Linköping University, affiliated with the Department of Behavioural Sciences and Learning (IBL) and the Division of Learning, Aesthetics, and Natural Science (LEN) within the Faculty of Educational Sciences. Her research focuses on science and technology education, particularly in early primary education contexts. She leads the Technology and Science Education Research (TESER) unit, exploring innovative teaching methods such as digital animation and programming integration in classrooms. Her work emphasizes children's mechanistic reasoning in chemistry and their understanding of abstract scientific phenomena through hands-on activities. Recent studies include investigations into primary students' conceptions of thermal expansion and their interactions with robots/programming. She has secured SEK 2.5 million in funding from the Swedish Institute for Educational Research for projects on animation tools in chemistry education. Berg collaborates extensively with researchers like Magnus Hultén and Cecilia Axell, publishing in journals such as Chemistry Education Research and Practice and International Journal of Technology and Design Education . Her research bridges disciplinary boundaries between natural sciences, technology education, and pedagogical theory.

Enric Plaza Cerveraمشاهده پروفایل

استاد پژوهشی

• Case-Based Reasoning
• Multiagent Learning
• Conceptual Blending
• +۴ مورد دیگر

Enric Plaza Cervera is a Research Professor at the Learning Systems Department of the Artificial Intelligence Research Institute (IIIA-CSIC) in Catalonia, Spain. His work focuses on foundational aspects of artificial intelligence, particularly in conceptual blending, case-based reasoning (CBR), and multiagent systems. He explores how cognitive principles like image schemas and conceptual blending can be applied to computational models of creativity, semantic understanding, and diagrammatic reasoning. His research also addresses ethical challenges in AI governance and value alignment through agent-based simulations and formal models. Key research areas include: Formalizing cognitive processes in AI for diagram interpretation and creativity Developing ethical frameworks for autonomous systems using AGV (Autonomy-Governance-Value) models Advancing CBR theory through amalgamation techniques for integrating multiple solutions Modeling embodied cognition in understanding abstract concepts through spatial metaphors Recent publications (2020-2024) emphasize interdisciplinary approaches combining cognitive science, formal logic, and multiagent systems to tackle challenges in AI transparency, value alignment, and creative problem-solving. No scientific awards are explicitly mentioned in the provided materials. His work contributes to both theoretical advancements and applied AI systems through the IIIA's research initiatives.

Diana Vallverduمشاهده پروفایل

مدرس

• Human-Robot Interaction
• Experiential Phenomenology
• Immersive Theatre
• +۳ مورد دیگر

Diana Vallverdu serves as a Lecturer in the Creative Computing department at Norwich University of the Arts, teaching on both the BSc (Hons) Creative Computing and BSc (Hons) Creative Technology and Robotics programs since joining the faculty in 2023. Her unique interdisciplinary profile bridges rigorous mathematical training with experimental theatre practice to pioneer new forms of technology-mediated performance. Her educational foundation includes a BSc (Hons) in Mathematics from Universitat Politècnica de Catalunya (2018) and an MFA in Advanced Theatre Practice from the Royal Central School of Speech and Drama (2021). Vallverdu's research investigates experiential phenomenology and Human-Robot Interaction through the reinterpretation of existing technologies for interactive physical performance. She explores how mathematical concepts catalyze theatrical innovation, creating immersive audience experiences that challenge conventional data interaction. Her work consistently merges computational logic with embodied performance, resulting in installations that transform abstract concepts into tangible sensory encounters. Recent publications like A Conversation with Berna (2025) and A Banal Introduction of Berna (2024) demonstrate a cohesive trajectory toward biometric data interpretation and alternative communication systems. These works analyze how fingerprint data can generate musical compositions and how obsolete technologies like fax machines provoke reflection on social media immediacy, revealing her signature approach of using creative computing to humanize technological interfaces. As co-founder and co-director of ANTS Theatre since 2020, Vallverdu has developed groundbreaking productions including Qrumpet (exploring quantum pseudoscience) and We Still Fax (interactive audience experiences). Her technical collaborations with Ludens Theatre on The Tight Squeeze (2022) and Terraforming Mars (2023) showcase custom software development for immersive game-theatre hybrids. The upcoming A Conversation with Berna installation for the 2026 Norwich Science Festival—developed with Akademia University—will interpret fingerprints as songs, extending her exploration of biometric connection.

Sara R. Yazdaniمشاهده پروفایل

دانشیار

• Modern and Contemporary Art
• Art Theory
• Ecology
• +۳ مورد دیگر

Sara R. Yazdani is an Associate Professor of Art History and Theory and Head of Theory MFA at the Oslo National Academy of the Arts. Her research focuses on modern and contemporary art, with emphases on ecology, art-media-technology intersections, sensation, and process philosophy. She directs the Norwegian Arts Council-funded Parallel Ecologies project (2019–2022) and is completing a monograph on Wolfgang Tillmans’ ecological image thinking. She holds a PhD from the University of Oslo (2019) and was a Humboldt University postdoctoral fellow (2020). Education: PhD in Art History and Media Aesthetics, University of Oslo (2019) Postdoctoral Fellowship, Humboldt University, Berlin (2020) Research Interests: Her work explores ecological frameworks in contemporary art, including how environmental and sensory concepts intersect with media and technological practices. Key themes include process ontology, climate aesthetics, and art’s role in mediating ecological crises. Fellowships & Awards: Media Aesthetics Fellowship, University of Oslo Norwegian Research Council Fellowship Labs/Projects: Leads Parallel Ecologies and co-develops Sensing Bodies and Other Ecologies , investigating environmental perception in 21st-century art. Her current projects include studies on ice, video sensibility, and weather in artistic contexts.

Steven Piantadosiمشاهده پروفایل

استادیار

• Cognitive Psychology
• Computational Linguistics
• Numerical Cognition
• +۴ مورد دیگر

Steven Piantadosi is an Assistant Professor of Psychology at the University of California, Berkeley. His research integrates formal computational methods and behavioral experiments to investigate how humans learn language, form conceptual systems, and process numerical/mathematical information. He holds a PhD in Psychology from MIT and is affiliated with the Department of Psychology, contributing to interdisciplinary research on cognition and culture. His academic journey includes a focus on the intersection of cognitive science, linguistics, and computational modeling. Key research areas include the cultural evolution of numerical systems, the cognitive mechanisms underlying language acquisition, and the neural basis of conceptual representation. Dr. Piantadosi's work often explores how computational principles shape human learning, bridging theoretical and empirical approaches. Recent studies highlight themes such as cross-cultural mathematical cognition, the role of vector semantics in the brain, and the dissociation between deductive/inductive reasoning processes. His research emphasizes the importance of cultural context in shaping cognitive abilities, as seen in studies of indigenous Amazonian groups and comparisons across species. While no specific advising details are provided, his work likely involves collaborations with graduate students and postdoctoral researchers in computational psychology and neuroscience. Notable contributions include challenging traditional nativist theories of concept formation and advancing models of symbolic learning through metaprogram search. His findings have implications for education, artificial intelligence, and our understanding of human uniqueness in cognitive capacity.

Syed Gowhar Andrabiمشاهده پروفایل

استادیار

• Pictogram Design
• Abstract Concept Representation
• Design Strategy
• +۴ مورد دیگر

Syed Gowhar Andrabi is an Assistant Professor at the School of Textiles & Design, Heriot-Watt University. He holds a Doctor of Design degree and is a Senior Fellow of the Higher Education Academy (SFHEA). His work bridges theory and practice in design, focusing on pictogram systems like PCSoRT to promote religious tolerance and effective visual communication. With 18 years of industry experience, he has collaborated with design studios and branding agencies globally. His teaching spans branding, motion graphics, design thinking, UI/UX, and data visualization. His research explores abstract concept representation through pictograms and contributes to UN Sustainable Development Goals, particularly in fostering inclusive communication systems. Publications include works on visual communication, spirituality in art education, and critical pedagogy. His research emphasizes interdisciplinary approaches to design theory and practice.

• Neuroscience
• Epilepsy Research
• Cognitive Science
• +۳ مورد دیگر

Dr. Marcel Bausch is a researcher affiliated with the Clinic and Polyclinic for Epileptology at the University of Bonn's Faculty of Medicine. He is a member of the Transdisciplinary Research Area (TRA) - Life and Health, where he leads innovative research at the intersection of neuroscience, medicine, and technology. His research focuses on cognition, epilepsy, and wearable sensors , with particular emphasis on understanding brain functions through cutting-edge neurotechnologies. His lab combines neuroscience and medicine with advanced technology to study epilepsy and cognitive functions such as memory. Using custom neurotechnologies including mobile ear-EEG systems, they investigate how the brain is shaped by internal and external landscapes, aiming to transform these discoveries into real-world applications. Their research integrates intracranial recordings, EEGs, and tailored wearables to discover new neuroscience insights and develop practical clinical solutions. Dr. Bausch's work demonstrates significant contributions to understanding neural mechanisms in the temporal lobe and medial temporal lobe, with publications in high-impact journals like Nature Communications. His research on seizure-related effects on heart activity shows his interdisciplinary approach connecting neurology with cardiology. The lab devises innovative solutions from bare electronic components to advanced sensor systems, enabling comprehensive views of brain activity from individual neurons to complex behaviors. He maintains active collaborations with researchers across disciplines, as evidenced by his co-authorships with prominent scientists in the field. His work contributes to the University of Bonn's strong research profile in life sciences and health, particularly within the context of the university's six Transdisciplinary Research Areas.

Rahul Parhiمشاهده پروفایل

استادیار

• Machine Learning
• Neural Networks
• Signal Processing
• +۹ مورد دیگر

Rahul Parhi is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego (UCSD), where he has been since 2024. Previously, he was a postdoctoral researcher at the École Polytechnique Fédérale de Lausanne (EPFL) from 2022 to 2024, and completed his Ph.D. in Electrical Engineering at the University of Wisconsin–Madison in 2022. His research focuses on the mathematics of data science, particularly the theoretical foundations of neural networks and deep learning, with a strong emphasis on functional/harmonic analysis, signal processing, and nonparametric statistics. Key research themes include the mathematics of computed tomography, sparsity, compressed sensing, and the geometry of Banach spaces. Education: B.S. in Mathematics, University of Minnesota, Twin Cities (2018) B.S. in Computer Science, University of Minnesota, Twin Cities (2018) Ph.D. in Electrical Engineering, University of Wisconsin–Madison (2022) His research interests span the interplay between functional and harmonic analysis with data science, including: Foundations of neural networks and deep learning Approximation properties of neural networks Nonparametric statistical estimation Inverse problems and compressed sensing Wavelet-based signal processing Banach space theory His recent publications explore topics such as neural network optimization, attention mechanisms, and the theoretical limits of learning in high-dimensional spaces. He has contributed to understanding the mathematical principles underlying deep learning's success in breaking the curse of dimensionality. His work bridges abstract mathematical concepts with practical applications in signal processing and machine learning. Parhi's research also extends to collaborative projects with experts in optimization and applied mathematics, aiming to develop novel algorithms with rigorous theoretical guarantees. His lab at UCSD focuses on advancing interdisciplinary research at the intersection of mathematics and data science.

Danny Bettayمشاهده پروفایل

عضو هیئت علمی

• Architecture
• Urban Planning
• Design and Construction
• +۳ مورد دیگر

Danny Bettay is a PhD candidate at the School of Cybernetics, Australian National University, and an Assistant Lecturer at the Canberra Institute of Technology. With over 10 years of professional experience in architecture, design, and construction, he has contributed to high-profile projects such as the Western Sydney International Airport Program and the Western Sydney City Deals as an Assistant Director at the Department of Infrastructure, Transport, Cities and Regional Development. His research interests explore the intersection of design, technology, and human experience, including innovative approaches to sensory deprivation and tangible concept realization through tools like Autodesk Revit. His academic contributions include guiding students in transforming abstract ideas into physical realities, emphasizing computational design and cybernetic systems. Danny’s work bridges theoretical frameworks with practical applications, particularly in urban development and sensory-centric design methodologies. His teaching at Canberra Institute of Technology focuses on empowering students to leverage technology for creative problem-solving. While no specific awards or grants are detailed, his professional trajectory reflects a commitment to impactful infrastructure projects and educational mentorship. His involvement in the 3Ai Masters program highlights his ability to challenge conventional perspectives, such as redefining sensory engagement through deprivation studies.

Vicky L. Klimaمشاهده پروفایل

استاد

• Representation Theory of Lie Algebras
• Abstract Algebra
• Voting Theory
• +۳ مورد دیگر

Vicky L. Klima is a Professor in the Department of Mathematical Sciences at Appalachian State University and currently serves as the Interim Dean of the Honors College for the 2023-24 academic year. She joined the university faculty in 2003 and has held roles including Graduate Program Director for Mathematical Sciences (2022-23) and member of the Honors College academic mentoring team since 2019. Her academic focus lies in representation theory of Lie algebras, with recent collaborative work exploring applications of abstract algebra to voting theory and microtonal music theory. Education: B.A., Erskine College M.S., Ph.D., North Carolina State University Research Interests: Dr. Klima's primary research area is the representation theory of Lie algebras, a branch of abstract algebra with deep connections to symmetry and mathematical structure. She has expanded her work into interdisciplinary applications, particularly in voting theory and microtonal music theory, where algebraic concepts provide novel insights into electoral systems and musical harmonics. Her approach emphasizes collaborative learning environments where students engage directly with complex mathematical concepts through shared problem-solving experiences. Her pedagogical philosophy centers on active learning strategies, which she develops through regular participation in regional and national educational meetings. This commitment to student engagement extends to mentoring undergraduate and graduate researchers, fostering personal relationships through collaborative mathematical exploration. Professional Service: Dr. Klima has contributed significantly to departmental and university administration through her roles as Graduate Program Director and Interim Dean. These positions reflect her dedication to advancing both the mathematical sciences program and the broader Honors College community at Appalachian State.