جستجوی استاد راهنمای دانشگاهی

• Environmental Impact Assessment
• Life Cycle Assessment (LCA)
• Industrial Ecology
• +۴ مورد دیگر

Prof. Dr. Stefanie Hellweg serves as a Full Professor for Ecological Systems Design at the ETH Zürich , Department of Civil, Environmental and Geomatic Engineering. She is Deputy Head of the Institute of Environmental Engineering and leads groundbreaking research at the intersection of industrial ecology, life cycle assessment, and circular economy systems. PhD in Environmental Engineering (ETH Zürich, 2000) Industrial Engineering Degree (Karlsruhe University, 1996) Her research develops advanced methodologies for environmental impact assessment of products and technologies, focusing on: Life Cycle Assessment (LCA) with correlated uncertainty modeling Circular economy implementation in chemical and energy sectors Industrial symbiosis optimization for heat and nutrient flows Urban wastewater systems redesign for resource recovery Chemical pollution analysis in plastic materials Key publication trends reveal expertise in: Hybrid wastewater treatment systems Energy-efficient greenhouse cultivation Exergy analysis for sustainability metrics Machine learning applications in environmental modeling Policy-relevant industrial ecology studies She actively participates in global sustainability initiatives as: President of the International Society of Industrial Ecology (ISIE) Member of UN Environment's International Resource Panel Editorial board member for leading environmental journals

Gerold Schneiderمشاهده پروفایل

دانشیار

• Computational Linguistics
• Digital Humanities
• Corpus Linguistics
• +۳ مورد دیگر

Gerold Schneider is an Associate Professor at the University of Zurich , affiliated with the Department of Computational Linguistics under the Faculty of Arts and Social Sciences and Faculty of Business, Economics and Informatics . He leads the Text Crunching Center (TCC) , focusing on interdisciplinary research at the intersection of NLP, Digital Humanities, and Health Data Science. Research Interests His work spans Text Analytics , Digital Humanities , Corpus Linguistics , and Health Data Science , with applications in: Biomedical NLP (e.g., Alzheimer’s detection, clinical trials) Digital Humanities projects (e.g., analyzing Charles Dickens, UN archives) Migration discourse framing across languages Adversarial data collection for hate speech detection Interdisciplinary methodologies for digital unstructured data Recent Publications 2025–2024 research highlights include annotated corpora for preclinical and neurological studies, AI-driven analysis of historical linguistic variation, and innovative tools for language learners. His NLP applications address health diagnostics, ethical AI, and cross-lingual political discourse. Labs & Teams As TCC leader, he spearheads collaborative projects within the Digital Society Initiative (DSI) communities (AI & Law, Health, Ethics, etc.), integrating computational methods with humanities and health research.

Thomas Chaneyمشاهده پروفایل

استاد

• International Trade
• Networks
• Finance
• +۳ مورد دیگر

Thomas Chaney is a Professor of Economics at the University of Southern California (USC), holding the John Elliott Chair in Economics. He is affiliated with Sciences Po’s Department of Economics and leads the ERC Project HTMG. His research focuses on International Trade, Networks, and Finance, with notable contributions to historical trade dynamics and modern financial constraints. Chaney is a CEPR and CESifo Research Fellow, reflecting his academic standing. Research Interests: Chaney’s work bridges historical and contemporary economic phenomena, analyzing trade networks, collateral constraints in corporate finance, and the impact of migration on innovation and urban development. His research often employs innovative methodologies, such as combining archaeological data with economic models to study ancient trade systems. Articles Trends: Recent work examines Bronze Age trade networks, modern corporate investment dynamics, and the role of real estate collateral. His 2024 articles explore ancient trade’s end and contemporary empathy’s economic implications, showcasing interdisciplinary approaches. Earlier papers like Trade, Merchants, and the Lost Cities of the Bronze Age (2019) exemplify his historical focus. Grants & Awards: Chaney leads the ERC-funded HTMG project and holds prestigious fellowships. His work has been published in top journals and spans empirical trade analysis, financial economics, and historical methods. Labs/Teams: Active in USC’s Economics Department and collaborates with global institutions like Sciences Po and the Bank for International Settlements (BIS). His research group integrates economists, historians, and data scientists for interdisciplinary projects.

• Information Science
• Library Science
• Information Behavior
• +۵ مورد دیگر

David Bawden is a Professor in the Department of Library and Information Science (CityLIS) at City, University of London. With a publication record spanning over two decades, he has established himself as a leading scholar in information science, particularly known for his work on the philosophical foundations of information, knowledge organization, and information behavior. His research frequently intersects with Luciano Floridi's Philosophy of Information, which he has applied to library and information science theory and practice. Bawden's research interests focus on the theoretical underpinnings of information science, including information behavior, information literacy, knowledge organization, and the philosophical dimensions of information. His work often explores the conceptual frameworks that shape how we understand information in both physical and digital environments. He has made significant contributions to understanding information privacy through a philosophical lens and has examined temporal aspects of information in contemporary society. His recent publications demonstrate a continued focus on theoretical developments in information science, with particular attention to the implications of Floridi's work for library and information practice. Bawden's scholarship shows a consistent trajectory from examining historical aspects of information to contemporary challenges in the digital age, maintaining a strong theoretical orientation throughout. As a frequent collaborator with Lyn Robinson (also at City, University of London), Bawden has co-authored numerous papers exploring transitions between concepts of information across different domains, information overload, and the philosophical foundations of information science. His work has appeared in leading journals including the Journal of Documentation, Journal of the Association for Information Science and Technology, and Information Research. Bawden has been actively involved in the CityLIS program, contributing to innovative approaches to information science education including the development of curricula addressing data librarianship and the 'onlife' nature of contemporary information experience. His scholarship reflects a deep commitment to advancing the theoretical foundations of the field while maintaining relevance to practical information challenges.

Sebastian Schemmمشاهده پروفایل

دانشیار

• Atmospheric Sciences
• Extratropical Cyclone Dynamics
• Jet Stream Physics
• +۷ مورد دیگر

Sebastian Schemm is a Heisenberg Fellow at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, a position regarded as equivalent to a non-permanent Associate Professor. He leads research within the Atmosphere-Ocean Dynamics group and previously held an ERC Starting Grant-funded Assistant Professorship (without tenure track) at ETH Zurich. Education and Career Path PhD (2013) and MSc (2010), ETH Zurich, Switzerland Postdoctoral researcher, University of Bergen, Norway (2014–2017) Postdoctoral researcher, Laboratoire de Météorologie Dynamique, ENS Paris (2017–2018) Assistant Professor (ERC Starting Grant), ETH Zurich (2020–2024) Heisenberg Fellow, DAMTP, University of Cambridge (2025–present) Research Focus Schemm’s work centres on atmospheric and climate dynamics, spanning turbulence to planetary scales. Core themes include the physics of extratropical cyclone life cycles, jet-stream and storm-track dynamics, Rossby waves and teleconnection patterns, high-resolution atmospheric modelling, and the integration of machine-learning techniques for parameter estimation, data assimilation, and kilometre-scale global simulations. He also contributes to large-scale initiatives such as ECMWF’s WeatherGenerator. Scientific Awards and Editorial Service DFG Heisenberg Fellowship (2025) ERC Starting Grant (2020–2024) European Meteorological Society Young Researcher Medal (2019) Co-Editor, Weather and Climate Dynamics (EGU) Co-Editor, Quarterly Journal of the Royal Meteorological Society PhD Supervision & Funding He currently supervises PhD students at both Cambridge and ETH Zurich, with funding streams including the Cambridge CREATES Doctoral Training Partnership and Swiss/EU grants. Ongoing students explore reinforcement-learning parameterisations, jet-stream–storm-track relationships, mid-latitude eddy energetics, machine-learning ensemble forecasting, and Bayesian parameter estimation in LES. Active Projects EU Horizon project WeatherGenerator (led by ECMWF) PASC HiRAD-Gen : High-Resolution Atmospheric Downscaling Using Generative Models

Jay David Bolterمشاهده پروفایل

استاد

• Augmented Reality
• Digital Culture
• History of Media
• +۳ مورد دیگر

Jay David Bolter holds the Wesley Chair of New Media and serves as Professor and Director of Computational Media at the Georgia Institute of Technology, where he is affiliated with the School of Literature, Media, and Communication within the Ivan Allen College of Liberal Arts. A foundational figure in digital media studies, he is renowned for his influential theoretical works and practical contributions to new media forms. His research spans Augmented Reality , Virtual Reality , Digital Culture , and the History of Media , with particular emphasis on remediation theory (developed with Richard Grusin) and the evolution of digital writing. As an active member of the Augmented Environments Lab, Bolter creates narrative-driven AR applications for cultural heritage sites and educational contexts, blending theoretical rigor with experimental design. His work consistently examines how new media technologies reshape human perception and cultural practices. Recent publications reveal a concentrated exploration of reality media (AR/VR) as narrative spaces, with articles addressing biofeedback integration in VR fitness, agency-driven interactive storytelling, and theoretical frameworks for understanding immersive experiences. His scholarship bridges historical media analysis with cutting-edge technical implementation, demonstrating how remediation processes continue to evolve in mixed reality environments. This trajectory reflects his lifelong investigation into the interplay between technological capabilities and human expression. Bolter maintains significant collaborative partnerships, including co-authoring seminal texts like Remediation and developing the Storyspace hypertext system with Michael Joyce. His leadership in the Augmented Environments Lab drives interdisciplinary projects that merge humanities perspectives with technological innovation, particularly in creating culturally resonant AR experiences. Teaching responsibilities include advanced courses in mixed reality design, computational media, and digital media theory, shaping the next generation of media scholars and practitioners.

Tobias Fiebigمشاهده پروفایل

استادیار

• Network Security
• Human Factors in Security
• Internet Measurement
• +۵ مورد دیگر

Dr.-Ing. Tobias Fiebig is a Senior Researcher at the Max Planck Institute for Informatics (Internet Architecture department) since April 2022. He previously served as a permanent Assistant Professor at TU Delft's Faculty of Technology, Policy and Management from 2017-2022. His work combines network measurement with human factors to improve security practices, focusing on email protocols, DNS infrastructure, and academic cloud migration. PhD in Computer Science from TU Berlin (2017) MSc in System and Network Engineering from University of Amsterdam (2013) BSc in Cognitive Science from University of Osnabrück (2012) His research spans Internet security (DNS, IPv6, email), academic freedom in cloud contexts, and human-centered security challenges. Recent work analyzes MTA-STS deployment, DNS sampling biases, and university cloud migration privacy implications. He has presented at top conferences including USENIX Security , IEEE Symposium on Security and Privacy , and ACM CCS . Teaching roles include lecturing Data Networks (2023-24) and On the Practice of System and Network Engineering (2024), with prior module management in cyber security analytics and sustainable system operations.

• Computational Design
• Architectural Education
• Artificial Intelligence in Architecture
• +۹ مورد دیگر

Assoc. Prof. Dr. Sema Alaçam Doğan has been affiliated with Istanbul Technical University since 2014, serving as an Associate Professor in the Department of Architecture . She has held administrative roles including Deputy Head of Department and Erasmus Coordinator. Education : PhD in Informatics in Architectural Design (2008-2014), MS in Informatics in Architectural Design (2005-2008), and BS in Architecture (1999-2005) from Istanbul Technical University. Her research explores Computational Design , Artificial Intelligence in Architecture , and Sustainable Material Innovation . She investigates digital tools for heritage preservation, daylight optimization in BIM, and cognitive development in architecture students. Recent publications analyze AI-assisted design literacy , machine learning for Sinan mosques , and environmental comfort in Harran houses . Her work integrates algorithmic frameworks with sustainable practices. Scientific awards include multiple ITU Publication and Performance Awards (2021-2024), FABFEST Prizes , and the 2024 Artemis Educator Award from NASA. Active projects like "Physical Computation in Architectural Drawing" and "Robotic Fabrication with Recycled Wind Turbine Blades" demonstrate her leadership in computational and sustainable research.

Beth St. Jeanمشاهده پروفایل

دانشیار

• Health Informatics
• Health Justice
• Consumer Health Information Behavior
• +۳ مورد دیگر

Beth St. Jean is an Associate Professor and Faculty Director of the Carillon Community in Health Justice at the University of Maryland’s College of Information Studies (College Park). She holds a PhD and MS in Information from the University of Michigan School of Information and a BA in Mathematics from Smith College. Her research focuses on improving health outcomes through understanding health-related information behaviors, health literacy, and self-efficacy. She co-authored Understanding Human Information Behavior (2021) and leads projects like HackHealth to enhance youth health literacy. Education: PhD in Information, University of Michigan School of Information (2012) MS in Information (LIS), University of Michigan School of Information (2006) BA in Mathematics, Smith College (1988) Research Interests: Health informatics, health justice, consumer health information behavior, health literacy, youth digital practices, and information literacy. Her work emphasizes addressing health disparities through information access and education. Recent Research Trends: Her publications explore topics like long-haulers’ information needs (2024), pandemic-era health justice (2023), and social media’s role in predicting health disparities (2022). She also investigates patient-generated health data challenges (2022) and library roles in promoting health equity (2020). Awards and Recognition: ASIS&T SIG-USE Innovation Award (2017) ACM SIGCHI Excellent Reviewer (2017) ALISE/LMC Paper Award (2015) Beta Phi Mu/LRRT Research Award (2014) Teaching and Grants: Teaches courses on information behavior, research methods, and consumer health informatics. Co-PI on grants like HackHealth 2.0 (NIH, $123K) and youth health literacy initiatives ($68.5K). Also serves as Assistant Director of the Information Policy & Access Center and Senior Fellow at CASCI. Labs and Initiatives: Leads the Carillon Community in Health Justice and collaborates on projects like the HackHealth after-school program to engage disadvantaged youth in health entrepreneurship.

Anil Sethمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Computational Neuroscience
• Consciousness Science
• +۱۲ مورد دیگر

Professor Anil Seth is a leading cognitive and computational neuroscientist at the University of Sussex, where he holds a professorship in the School of Engineering and Informatics. He is Director of the Sussex Centre for Consciousness Science and Co-Director of the CIFAR Program on Brain, Mind, and Consciousness and the Leverhulme Doctoral Scholarship Programme. His research bridges neuroscience, psychology, philosophy, and AI to investigate the biological basis of consciousness and selfhood. His research interests include: Predictive processing approaches to perception Virtual and augmented reality in self-experience studies Mathematical modeling of perception and emergence Machine learning applications in subjective perception modeling Interoception and selfhood Neural mechanisms of conscious experience The recent publications reflect a strong focus on consciousness, neural dynamics, predictive models, and interdisciplinary approaches. Trends include the use of computational modeling, neurophenomenology, causal analysis, and the ethical implications of emerging neurotechnologies. His work increasingly integrates large language models and data-driven methods for analyzing subjective experience. His scientific awards include: Segerfalk Award Perspectives Award Highly Cited Researcher (Web of Science, 2019–2022) Royal Society Michael Faraday Prize (2023) Seth has secured substantial research funding from the European Research Council (ERC), EPSRC, Wellcome Trust, CIFAR, and the Sackler Foundation. He has supervised numerous research projects and doctoral students through interdisciplinary programs. He leads the Dreamachine project and has been an Engagement Fellow with the Wellcome Trust. He serves on editorial boards including Philosophical Transactions of the Royal Society B and is Editor-in-Chief of Neuroscience of Consciousness . He leads a multidisciplinary research group at the Sackler Centre, bringing together psychologists, mathematicians, neuroscientists, computer scientists, and philosophers. His team conducts innovative research using virtual reality, neuroimaging, and computational modeling to explore the nature of consciousness and self.

Mona Hessمشاهده پروفایل

استاد

• 3D Imaging Metrology
• Heritage Conservation
• Digital Documentation
• +۴ مورد دیگر

Prof. Dr. Mona Hess is a Full Professor and Chairholder of the Chair of Digital Heritage Technologies at Otto-Friedrich-Universität Bamberg , Germany. She directs the M.Sc. Digital Technologies in Heritage Conservation program and serves as Vice-Speaker at the Centre for Heritage Conservation Studies and Technologies (KDWT) . Her work bridges digital documentation, 3D imaging, and heritage conservation, with a focus on cultural landscapes, historic timber, and artifact preservation. Education : Dipl.-Ing. in Architecture (TUM), M.A. in Heritage Conservation (University of Bamberg), Ph.D. in 3D Imaging Metrology for Cultural Heritage (University College London, 2015) Her research spans 3D laser scanning, photogrammetry, SLAM-based recording , and digital twin environments , particularly for structural monitoring, museum artifacts, and historic gardens. She leads projects like VirScan3D (virtual laser scanner simulator) and 3DPetrie (UCL Petrie Museum 3D models) and collaborates on international initiatives such as the British Museum War Canoe digital repatriation. Recent publications emphasize automated defect analysis in timber, multi-modal imaging for ceiling art, and linked open data in heritage. She has contributed to CIPA ICOMOS as an expert member and will chair their Education and Dissemination Commission (2024). Scientific Awards : Fellow of the UK Higher Education Academy (2016), Associate Fellow of the Higher Education Academy (2014) She teaches courses in Digital Object Recording , 3D Spatial Data Modeling , and Science Communication , and organizes international summer schools on heritage monitoring. Her lab, the Chair of Digital Heritage Technologies , collaborates with institutions in Italy, Spain, and the UK, focusing on interdisciplinary innovation in heritage conservation.

Michael Baymمشاهده پروفایل

دانشیار

• Microbial Evolutionary Genomics
• Antibiotic Resistance
• Computational Biology
• +۷ مورد دیگر

Dr. Michael Baym is an Associate Professor of Biomedical Informatics at Harvard Medical School with affiliate appointments in Microbiology and the Laboratory of Systems Pharmacology, and as an Associate Member of the Broad Institute. He leads the Baym Lab, which studies microbial evolutionary genomics and antibiotic resistance through a hybrid of experimental, computational, and theoretical approaches. His research focuses on: Antibiotic Resistance Evolution and practical interventions Mobile Genetic Elements (plasmids, phages, transposons) Computational Genomic Algorithms for big data analysis Synthetic Biology tools and technologies Key recent publications explore phage discovery systems , phylogenetic compression of microbial genomes, and RNA-guided gene drives in plasmids. His work is supported by multiple NIH/NIGMS and NSF grants including a MIRA award. Scientific honors include: Packard Fellowship (2018) Pew Biomedical Scholarship (2020) Sloan Research Fellowship (2020) A. Clifford Barger Excellence in Mentoring Award (2021) SSQBio Mentorship Award (2022) The lab actively trains PhD students and postdoctoral fellows with alumni occupying academic and industry positions globally. Current team members include researchers from interdisciplinary backgrounds working at the intersection of experiment, computation, and theory .

Abigail Jacobsمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computational Social Science
• Data Science
• +۶ مورد دیگر

Abigail Jacobs is an Assistant Professor at the University of Michigan , jointly appointed in the School of Information and the College of Literature, Science, and the Arts . She is also affiliated with the Center for Ethics, Society, and Computing (ESC) and the Michigan Institute for Data Science (MIDAS) . Education: PhD in Computer Science, University of Colorado Boulder (2015-2019) BA in Mathematical Methods in the Social Sciences and Mathematics, Northwestern University (2011-2015) Research Interests: Dr. Jacobs examines measurement and validity in machine learning , focusing on hidden assumptions in AI systems, governance structures in sociotechnical systems, and inequality in algorithmic design. Her work bridges AI, data science, and social science methodologies, emphasizing interdisciplinary collaboration. Recent Publications (2024-2025) explore generative AI evaluation, algorithmic transparency in government (e.g., US Census Bureau), motion capture data ethics, and sociotechnical frameworks for AI governance. Earlier works (2023) address fairness in ranking systems and racial categorization in algorithmic bias studies. Scientific Awards: Microsoft Research AI & Society Fellowship (2024) NSF Graduate Research Fellowship (during PhD) Advising & Grants: She co-advises Ph.D. students Amina Abdu and Meera Desai . Her research includes a Notre Dame-IBM Tech Ethics Lab grant on AI audits and collaborations with institutions like UC Berkeley, Microsoft Research, and the National Academies .

David Mimnoمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Computational Social Science
• +۴ مورد دیگر

David Mimno is an Associate Professor and Chair of the Department of Information Science at Cornell University. He holds a PhD from the University of Massachusetts Amherst and previously worked at the Perseus Project and Princeton University. His research focuses on computational social science, natural language processing, and historical text analysis. Mimno is known for developing the MALLET toolkit, a widely used Java-based platform for machine learning in text processing. He teaches courses such as INFO 4940: How LLMs Work and INFO 6150/CS 6788: Advanced Topic Modeling. His work has been supported by the Sloan Foundation, NEH, and NSF. Mimno advises PhD students in Information Science and Computer Science, emphasizing interdisciplinary research at the intersection of computing and humanities/social sciences. He also contributes to initiatives like AI for Humanists, making large language models accessible for text-as-data research. Bachelor’s degree: Not explicitly stated in text PhD: University of Massachusetts Amherst Research Interests: Mimno explores large language models, topic modeling, cross-lingual semantics, and ethical AI applications in humanities and legal domains. His recent work addresses data curation practices for language models, LLM memorization of poetry, and generative AI’s societal impacts. He co-authored reports on generative AI in academic research and education. Grants & Collaborations: His projects include the Text as Data (TADA) conference and collaborations on generative AI law workshops. Mimno’s MALLET toolkit supports document classification, clustering, and topic modeling, with applications in cultural analytics and computational historiography.

• Image Science
• Digital and Media Art Research
• Art History and its Media
• +۶ مورد دیگر

Oliver Grau is a Chair Professor for Image Science and a leading figure in Media Art research, affiliated with Hong Kong Baptist University (Academy of Visual Arts, Distinguished Fellow since 2023) and Danube University Krems (Chair Professor for Image Science from 2005–2022). He founded the Archive for Digital Art (ADA) and the international MediaArtHistories Conference Series , with key roles at institutions across Germany, Austria, and Australia. His work bridges art, science, and technology, focusing on immersive images, digital heritage, and emotion research. Key Positions: Director of ADA (since 2000), Founding Director of MediaArtHistories Conference Series (since 2005), PI for high-resolution digitization of the Goettweig Graphic Print Collection (2005–2017). Research Grants: Funded by DFG, Austrian Science Fund, Australian Research Council, VW Foundation (total 8.3 Mio EUR), and Erasmus+ Joint Master program (5.4 Mio EUR). Research Interests: Grau’s scholarship spans the history of media art, telepresence, artificial life, emotion research, and digital humanities. His work emphasizes the evolution of immersive visual experiences from historical art forms to digital media, integrating theoretical and practical approaches. Article Trends: His recent publications focus on digital art’s sociopolitical dimensions, archiving challenges in the digital era, and cross-disciplinary methodologies. Themes include media art conservation, web-based tools for digital humanities, and the intersection of artistic expression with contemporary global issues like climate change and surveillance. Scientific Awards: Distinguished Fellow at Hong Kong Baptist University (2023) Science Award of Lower Austria (2019) Honorary Doctorate from University of Oradea (2014) Invitations to G-20 summit, Olympic Games, and international symposia Labs & Teams: He leads the Archive for Digital Art, managing a global team of 28 staff, and co-founded the Erasmus+ Joint Master in Media Arts Cultures. His projects emphasize collaborative archiving tools (e.g., Web 2.0/3.0 archives) and large-scale digitization initiatives.