جست‌وجوی استاد و پژوهشگر

Johann Lauxمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Big Data
• Legal Implications of Technology
• +۵ مورد دیگر

Johann Laux is a British Academy Postdoctoral Fellow at the Oxford Internet Institute, University of Oxford, specializing in the legal, ethical, and social dimensions of artificial intelligence and big data. He concurrently serves as a non-residential fellow at Berlin's GovTech Campus since 2024 and contributes legal expertise to the 'Human in the Loop? Autonomy and Automation in Socio-Technical Systems' project at the Humboldt Institute for Internet and Society (HIIG). His educational background includes: Doctorate in Law (thesis: institutional design of courts), University of Hamburg Multiple law degrees, University of Hamburg Master's in Politics and Governance, London School of Economics and Political Science Philosophy studies, King's College London Visiting Scholar tenure, University of California, Berkeley Laux's research centers on effective human oversight mechanisms for AI systems within socio-technical frameworks. He investigates governance models balancing automation with human autonomy, particularly in digital welfare states and algorithmic decision-making contexts. His work bridges legal theory, technology ethics, and policy design to address emergent challenges in AI regulation. Key accolades include: British Academy Postdoctoral Fellowship (current primary appointment) Emile Noël Fellowship at New York University GovTech Campus Fellowship (non-residential, Berlin) Supported by prestigious fellowships, his research avoids traditional grant descriptions but emphasizes real-world impact through media engagement. Though not formally documented as an advisor, his lab affiliations drive collaborative scholarship. At Oxford, he operates within the AI & Society Lab while contributing to HIIG's autonomy-focused project, positioning him at the intersection of academic research and policy implementation for emerging technologies.

Line Burholt Kristensenمشاهده پروفایل

دانشیار

• Psycholinguistics
• Experimental linguistics
• Neurolinguistics
• +۹ مورد دیگر

Line Burholt Kristensen is an Associate Professor in the Department of Nordic Studies and Linguistics at the University of Copenhagen's Faculty of Humanities. She leads the research group "Broken Grammar & Beyond," financed by the Independent Research Fund Denmark, and serves as Principal Investigator for the Steno Diabetes Center Sjælland-funded project "Vulnerability and related notions - an investigation of language to and about individuals with diabetes" with co-PI Christina Fogtmann Fosgerau. Her educational background includes an MA in linguistics, PhD, and completion of the Teaching and Learning in Higher Education Programme at the University of Copenhagen (2013-2014). Her academic career spans positions as Associate Professor (2018-present), Postdoc at the ProGram research group (2013-2017), External lecturer (2012-2013), and PhD student (2009-2012). Kristensen's research integrates psycholinguistics, neurolinguistics, and experimental methodologies to investigate grammatical processing. Her primary focus examines how native speakers process texts with anomalous learner syntax, particularly verb placement errors in Danish as a second language. She employs eye-tracking technology to measure reading times and comprehension, comparing grammatical anomalies in native versus non-native Danish writing. Her work on information structure and sentence context builds on her 2013 PhD thesis "Context, you need," which investigated how these elements interact during sentence processing. Her recent publications reveal a strong trajectory in second language acquisition research, with particular emphasis on verb-second constructions in Danish, preposition usage, and error detection mechanisms. These studies combine corpus linguistic approaches with experimental methods, demonstrating how language users react to grammatical anomalies both cognitively and neurologically. Her work increasingly bridges theoretical linguistics with practical applications for language teaching. As an educator, Kristensen teaches at BA and MA levels in Linguistics and has previously instructed courses in Audiologopedics, Danish, and IT & Cognition. She actively supervises student projects in experimental linguistics and corpus linguistics, encouraging research on language processing and acquisition. Her grant portfolio includes substantial funding from the Independent Research Fund Denmark and Steno Diabetes Center Sjælland for interdisciplinary projects examining language in both educational and medical contexts. She directs the "Broken Grammar & Beyond" research group, which employs a multidisciplinary approach combining psycho- and neurolinguistic experiments with grammar research. The team investigates the neural underpinnings of language processing using neuroimaging techniques while analyzing naturally occurring grammatical anomalies in both native and non-native Danish writing. This work has significant implications for understanding language acquisition, processing limitations, and the cognitive architecture of grammar.

• Byzantine History
• Medieval History
• Balkan Studies
• +۳ مورد دیگر

Vlada Stankovic is a Visiting Professor at the School of Humanities, Social and Education Sciences, European University Cyprus. He holds a Ph.D. in Medieval and Byzantine History from the University of Belgrade (2005), an MA in the same field (2002), and a BA in History (1998). His research focuses on the political, cultural, and religious dynamics of the Byzantine Empire and its interactions with the Balkan states, particularly Serbia and Bulgaria, in the post-1204 and pre-1453 periods. He has led significant projects like the 'Christian Culture in the Balkans in the Middle Ages' initiative since 2011. Key research themes include the evolution of Byzantine influence in peripheral regions, medieval diplomacy, and the interplay between imperial and religious institutions. His publications highlight the resilience of Byzantine cultural networks beyond Constantinople's fall, analyzing figures like King Milutin of Serbia and the Komnenos dynasty. He served as Editor-in-Chief for The Balkans and the Byzantine World (2016) and contributes to Byzantinische Zeitschrift 's editorial board. Academic advising includes co-supervising a 2019 Ph.D. thesis at EHESS, Paris. Publications span 2013–2018, emphasizing Byzantine-Slavic relations, medieval royal marriages, and the re-evaluation of Serbia’s position within the Byzantine oikoumene. His work bridges historiography and material evidence, offering fresh perspectives on post-Byzantine Balkan identity formation.

Edward Granterمشاهده پروفایل

دانشیار

• Organizational Behaviour
• Sociology of Work
• Critical Management Studies
• +۱۴ مورد دیگر

Edward Granter is Associate Professor in Organizational Behaviour in the Department of Management at Birmingham Business School, University of Birmingham. His academic work bridges sociology, organizational studies, and critical management, with a focus on the evolving nature of work, power, and resistance in contemporary society. Education: PhD in Sociology, University of Salford (2008) MA in Social and Political Sciences, University of Cambridge (2004) MA in Russian and East European Studies, University of Birmingham (2003) BA Hons in Social and Political Sciences, University of Cambridge (2000) Dr Granter's research explores a broad range of themes including the future and end of work, post-work societies, algorithmic and AI-driven labor, academic freedom, and extreme work environments such as the UK ambulance service. He has a long-standing interest in the Frankfurt School, particularly the work of Adorno, Horkheimer, and Marcuse, and has contributed significantly to critical discourse on André Gorz and utopian thought. His teaching includes courses on organizational behaviour, the future of work, and managing work and organizations. His recent publications reveal a strong trend toward critical analysis of digital labor, managerial discourse, and institutional control. He frequently collaborates with scholars such as Jillian Aroles, Paul Hyde, and Laurence McCann. His work appears in top journals including Work, Employment and Society , Journal of Management Studies , and Competition and Change . He is also co-editor of the Encyclopedia of Critical Management Studies (Edward Elgar, 2024). Scientific Roles and Recognition: Associate Editor, Competition and Change (since 2018) Associate Editor, Work, Employment and Society (since 2018) External Examiner, Cardiff University (current) Former External Examiner, Keele University (2018–2022) Dr Granter has served as Programme Director for Undergraduate Business Management degrees (2020–2023). His research has been featured in public discourse, including an interview in The New Statesman on the future of office work post-pandemic. He is actively engaged in critical debates on academic freedom, public sector authoritarianism, and the ethics of algorithmic management.

Ryan Gillespieمشاهده پروفایل

استادیار

• Mathematics Education
• Teacher Professional Development
• Educational Coaching
• +۳ مورد دیگر

Ryan Gillespie is an Assistant Professor in the Department of Curriculum & Instruction at the University of Idaho, College of Education, Health and Human Sciences. His work focuses on mathematics education, teacher professional development, and the role of coaching in enhancing instructional practices. Gillespie holds a Ph.D. in Education (2021), M.Ed. in Curriculum & Instruction (2011), and dual B.S. degrees in Mathematics Education and Mathematics/Computer Science (2005/2002). His research emphasizes professional learning for teachers, particularly through coaching methodologies and video-based professional development. He has pioneered online teaching models, such as the Three-Part Synchronous Online Model for teacher training. Gillespie’s awards include the NSF Stem for All Video Showcase Presenters’ Choice Award (2019) and the Carbondale Colorado Rotary Distinguished Teaching Performance Award (2008). He teaches courses like EDCI 327: Elementary Mathematics Methods and EDCI 413: Data Analysis and Probability. His recent publications explore coach-teacher interactions, video annotation techniques, and synchronous online professional development design. Gillespie’s work bridges theory and practice, aiming to optimize teacher support through innovative coaching frameworks.

Brendan Cliftمشاهده پروفایل

مدرس

• Media Law
• Defamation Law
• Free Speech
• +۵ مورد دیگر

Dr. Brendan Clift is a Lecturer in the School of Private & Commercial Law at UNSW Sydney's Faculty of Law & Justice. He holds advanced degrees including a PhD (University of Melbourne), LLM (University of Hong Kong), and dual bachelor's degrees (BA LLB, Macquarie University). His academic career spans teaching roles at the University of Melbourne, University of Hong Kong, and City University of Hong Kong. Before academia, Clift worked in legal publishing for over a decade, serving as Managing Editor at LexisNexis Australia, Publishing Director at LexisNexis Asia, and Editor of Hong Kong Lawyer . He also has media experience with Radio Television Hong Kong and the South China Morning Post , along with legal practice specializing in intellectual property. His research focuses on media law (defamation, free speech), Asian law (particularly Hong Kong's legal framework), torts, and intellectual property. His PhD thesis, Political Dissent, Law and Legitimacy in China's Hong Kong , underpins his work on authoritarian legalism and Hong Kong's evolving legal landscape. He co-authored Australian Media Law and edits the Media and Arts Law Review . Teaching includes torts, media law, intellectual property, and digital platform regulation. His recent media contributions address defamation reform, Hong Kong's national security laws, and legal challenges in Asia.

Tim Welscheholdمشاهده پروفایل

پژوهشگر

• Reinforcement Learning
• Imitation Learning
• Mobile Manipulation
• +۷ مورد دیگر

Dr. Tim Welschehold is a Junior Research Group Leader and former Substitute Professor at the Department of Computer Science, University of Freiburg, Germany. He is affiliated with the Faculty of Engineering and conducts research in the Robot Learning Lab and Autonomous Intelligent Systems group. He completed his PhD in Computer Science under Prof. Wolfram Burgard and has held senior research and leadership roles since 2020. Research Interests: His work centers on reinforcement learning, imitation learning, mobile manipulation, and dynamical systems. He explores how robots can learn complex manipulation tasks from human demonstrations and improve autonomy through deep learning and adaptive policies. His research integrates perception, reasoning, and action for real-world robotic applications. The recent publications highlight a strong trend in mobile manipulation, with a focus on learning from demonstrations, uncertainty-aware perception, and task-driven co-design of robotic systems. His work frequently appears in top-tier robotics conferences such as ICRA, IROS, CoRL, and RA-L, often in collaboration with Prof. Abhinav Valada and other members of the Freiburg robotics community. Scientific Awards: Best Paper Award, IROS 2022 Workshop on Mobile Manipulation and Embodied Intelligence Advising and Grants: Dr. Welschehold has co-supervised several Master’s students, including Abdelrahman Younes, Erick Rosete-Beas, and Iman Nematollahi. His research has been supported by major funding bodies such as the German Research Foundation (DFG), NVIDIA, Toyota Motor Europe, and the Carl Zeiss Foundation through projects like ReScale and BrainLinks-BrainTools. Labs and Teams: He is a key member of the Robot Learning Lab and the Autonomous Intelligent Systems group at the University of Freiburg, contributing to projects such as OpenDR, OML, and ReScale, which aim to advance scalable and responsible learning for assistive robotics.

• Interactive Data Visualization
• Intelligence Augmentation
• Human-Computer Interaction
• +۱۲ مورد دیگر

Arvind Satyanarayan is an Associate Professor of Computer Science at the Massachusetts Institute of Technology (MIT), where he leads the Visualization Group at MIT CSAIL. His research centers on interactive data visualization as a mechanism for intelligence augmentation—enhancing human cognition and creativity while preserving agency. Education PhD in Computer Science, Stanford University (advised by Jeffrey Heer, UW Interactive Data Lab) His research spans four primary themes: Visualization Authoring Tools , where he develops languages and systems (e.g., Vega-Lite extensions) to democratize visualization creation; Interpretability & Alignment , focusing on metrics and interfaces to align ML models with human expectations; Accessible Data Representations , co-designing non-visual displays with blind collaborators using alt text, screen readers, and tactile graphics; and Sociocultural Design , studying visualizations as social artifacts that shape norms and propagate misinformation. His work on Animated Vega-Lite , Bluefish , and Tactile Vega-Lite exemplifies his focus on expressive, usable, and inclusive tools. His recent publications show a strong trend toward AI-human collaboration , accessibility , and cultural interpretability of LLMs , with frequent appearances at top venues like ACM CHI, IEEE VIS, ACL, and UIST. Key topics include semi-formal programming, generative AI agency, tactile chart prototyping, and saliency evaluation frameworks. Scientific Awards & Recognition NSF CAREER Award Alfred P. Sloan Research Fellow (2024) Best Paper Honorable Mention, ACM CHI 2021 Outstanding Paper Award, ACL 2023 Apple Scholars in AIML (advised student) Forbes 30 Under 30 (advised student) He advises a vibrant group of PhD, MEng, and postdoctoral researchers, with alumni now faculty at MIT, Brown, and Utah. His group has secured significant recognition and impact, with tools widely used in industry, Wikipedia, and the Jupyter/Python data science communities. He collaborates across disciplines, including anthropology (Graham M. Jones), medicine, and social science. The Visualization Group at MIT CSAIL is actively developing next-generation tools for semi-formal programming with foundation models, accessible multimodal representations, and culturally grounded AI evaluation frameworks.

• Rehabilitation Robotics
• Neural Technologies
• Brain-Computer Interfaces
• +۱۰ مورد دیگر

Dingguo Zhang is a Reader in Robotics Engineering at the Department of Electronic & Electrical Engineering, Faculty of Engineering & Design, University of Bath. He is affiliated with several interdisciplinary research centers including the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI, the Centre for Bioengineering & Biomedical Technologies (CBio), the Bath Institute for the Augmented Human, and IAAPS. His work bridges robotics, neuroscience, and biomedical engineering to develop advanced assistive and rehabilitative technologies. His research focuses on Rehabilitation Robotics, Neural Technologies, Brain-Computer Interfaces (BCIs), and Robotic Exoskeletons . He investigates how neural signals such as EEG and EMG can be used to control prosthetic devices, exoskeletons, and communication systems, particularly for individuals with neurological impairments. His work also involves signal processing, machine learning, and adaptive control strategies to improve human-machine interaction. Key themes include decoding motor and speech intentions, fatigue assessment, and closed-loop neuromodulation. The recent publications reflect a strong trend toward invasive and non-invasive neural interface development , especially in decoding speech from intracranial EEG and enhancing BCI performance through advanced preprocessing and deep learning. There is also significant focus on wearable robotics for stroke and spinal cord injury rehabilitation , with integration of soft actuators, hybrid control, and real-time adaptation. Multimodal sensing (e.g., EEG-fNIRS, EMG-force) and patient-centered design are recurring elements across his work. Dr. Zhang has received recognition through his status as an IEEE Senior Member (EMBS, RAS, SMC) and IFESS Lifetime Member . He serves on the editorial boards of five journals including IEEE Transactions on Neural Systems & Rehabilitation Engineering and Frontiers in Neurorobotics , and has held leadership roles such as co-chair of IFESS 2024. He is actively involved in research funding and supervision. He is Principal Investigator (PI) on the EPSRC-funded dSPEECH project, which aims to decode speech using invasive BCIs, and Co-Investigator on an NIHR-funded project developing an ear-switch-controlled exoskeleton for stroke rehabilitation . He welcomes PhD students and is committed to training the next generation of researchers in neurotechnology and robotics. Dr. Zhang leads or contributes to research within collaborative labs and teams focused on bioengineering, augmented human systems, and accountable AI . These include the Centre for Bioengineering & Biomedical Technologies and the Bath Institute for the Augmented Human, where interdisciplinary teams develop next-generation assistive technologies grounded in ethical and transparent AI principles.

Bruce Draperمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Visual Learning
• +۷ مورد دیگر

Bruce Draper is a Professor and Chair of the Department of Computer Science in the College of Natural Sciences at Colorado State University. His work bridges artificial intelligence, machine learning, and computer vision, with a strong emphasis on real-world applications involving visual data and intelligent systems. Research Interests: Draper's research centers on machine learning with a focus on visual learning, adversarial AI, and visual agents. He investigates how AI systems can perceive, interpret, and interact with visual environments through technologies like facial recognition, object tracking, augmented reality, and automated visual communication. His work addresses both the capabilities and vulnerabilities of modern AI, particularly in defending systems against adversarial attacks. Publication Trends: His recent scholarly output reflects a consistent trajectory in advancing computer vision and AI robustness. The articles span topics from adversarial defense mechanisms and visual agent autonomy to scalable learning frameworks and real-time video analysis. Collectively, they emphasize secure, efficient, and context-aware visual intelligence systems grounded in deep learning and representation learning. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: While no students or grants are explicitly listed, his leadership role as department chair and prior experience as a DARPA program manager suggest extensive involvement in research funding, mentorship, and high-impact project direction. His background indicates likely supervision of graduate students and management of federally funded research initiatives in AI and computer vision. Labs and Teams: Although no specific lab or research group is named, his research scope implies leadership or affiliation with interdisciplinary teams working on AI security, computer vision, and augmented reality systems within the Department of Computer Science at CSU.

Phil Husbandsمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence
• Evolutionary Robotics
• Artificial Life
• +۱۲ مورد دیگر

Phil Husbands is a Research Professor of Artificial Intelligence in the Department of Informatics at the University of Sussex, School of Engineering and Informatics. He is a co-founder of the Centre for Computational Neuroscience and Robotics (CCNR) and a founding member of the Evolutionary and Adaptive Systems group (now the AI Group), reflecting his deep interdisciplinary engagement across engineering, neuroscience, and computer science. His research interests span artificial life, evolutionary robotics, biologically inspired neural networks, computational neuroscience, machine learning, and the history and philosophy of AI. He has pioneered work on GasNets (neural networks with diffusible modulators), insect-inspired navigation, and bio-inspired optimization algorithms. His work often bridges theory and application, integrating insights from biology into adaptive robotic systems. The recent publications highlight a strong trajectory in bio-inspired computation, including evolutionary swarm algorithms, neuromodulation models, cognitive architectures, and tactile robotics. His work increasingly explores foundational questions in agency, time perception, and autonomy, suggesting a move toward more comprehensive models of artificial cognition. Scientific Awards: No specific awards listed in the provided text. Phil Husbands has been involved in numerous research grants from major funders including the European Union, EPSRC, BBSRC, and Wellcome Trust. He has supervised multiple doctoral students and collaborated widely, notably with Andy Philippides and Michael O’Shea. He is actively engaged in postgraduate research supervision and public dissemination of science through books like Robots: What Everyone Needs to Know . He leads and contributes to interdisciplinary research teams such as the Evolutionary and Adaptive Systems group and the Centre for Computational Neuroscience and Robotics, fostering collaboration between computer scientists, neuroscientists, and roboticists.

Inge-Merete Hougaardمشاهده پروفایل

استادیار

• Political Ecology
• Resource Rights
• Climate Politics
• +۱۳ مورد دیگر

Inge-Merete Hougaard is an Assistant Professor at the Department of Anthropology, Faculty of Social Sciences, University of Copenhagen. Her research focuses on political ecology, resource rights, landscape change, and climate policy, with fieldwork in Denmark and Colombia. She leads the Green Rural Subjects (2025–2028) project and contributes to UCPH's Green Solution Centre initiatives on land use change and peatland knowledge. University: University of Copenhagen School: Faculty of Social Sciences Department: Department of Anthropology Academic Rank: Assistant Professor Email: imh@anthro.ku.dk Her research interests include political ecology, climate politics, state-making, land rights, biochar, carbon removal, rural precarity, and narrative-based co-creation of landscapes. She employs ethnographic and narrative methods to study how green transition projects reshape human and non-human relations in rural areas. The recent research articles show a strong focus on climate solutions, land reform, and socio-environmental justice. Themes span from carbon farming and biochar in Danish agriculture to moral ecologies of sand mining in Colombia and the political recognition of Afro-descendant communities. The work integrates anthropology with environmental policy, emphasizing participatory methods and narrative co-creation. She actively supervises students and teaches courses in anthropology and global development, including Climate, Environment and Nature: Basic Anthropological Concepts and Kulturøkologisk Klimalaboratorium . She has collaborated with municipalities, the Danish Nature Agency, and international research groups such as Cattle Crossroads . Her public engagement includes policy briefs, interactive websites like Lyt til Landskabet , and participation in national and international conferences. She contributes to public debates on land reform and green transition through media, workshops, and events like Folkemødet and Co-creating Landscape Change.

Nadia Steilsمشاهده پروفایل

مدرس

• Consumer Behavior
• E-Learning
• Marketing
• +۳ مورد دیگر

Nadia Steils is a Lecturer in the Business Administration Department at the Faculty of Economics, Management and Social Sciences, University of Namur (Belgium), with concurrent research affiliation at IAE Lille, University of Lille (France). Her academic home spans CeRCLe, LEM, and CCMS research centers, focusing on the intersection of consumer behavior and digital technologies. Education: PhD in Management Sciences - Marketing (University of Namur & IAE Lille, 2016) Master in Audit, Control, Research and Modeling in Marketing (IAE Lille, 2012) Bachelor in Applied Communications (IHECS Brussels, 2010) Her research centers on consumer e-learning processes , examining how digital interfaces shape knowledge acquisition and purchasing decisions. Specializing in consumer behavior in technology-mediated environments , she investigates the psychological mechanisms behind online learning adoption, gamification effects, and AI-driven service interactions. Recent work critically analyzes transparency paradoxes in influencer marketing and ethical dimensions of explainable AI systems, contributing directly to UN Sustainable Development Goals through consumer education frameworks. Analysis of her 16 research outputs (2013-2025) reveals evolving expertise from foundational e-learning studies toward contemporary AI/consumer behavior intersections. Current publications emphasize human-centric technology design , with strong focus on trust calibration in AI services and ethical implications of algorithmic manipulation. Research Leadership: Principal Investigator for Nestlé-funded social food trends project (2017-2018) Lead researcher on Creative Crowdsourcing knowledge-transfer initiative Key contributor to EU cultural experience knowledge-project Her 24 supervised student projects demonstrate active mentorship in consumer research methodology. Elected to departmental councils at both University of Namur and University of Lille, she shapes academic governance while maintaining rigorous teaching commitments across market research, marketing management, and database systems coursework.

• Aerial Robotics
• Unmanned Aerial Vehicles (UAVs)
• Remote Sensing
• +۱۲ مورد دیگر

João Pedro Matos-Carvalho is an Assistant Professor at Lusófona University in Lisbon, affiliated with the School of Engineering and the Department of Electrical and Computer Engineering. He is also an Integrated Member of the Center of Technology and Systems (CTS) at UNINOVA and COPELABS, Lusófona University, contributing to interdisciplinary research in robotics and intelligent systems. Ph.D. in Electrical and Computer Engineering, FCT NOVA (2021) M.Sc. (Hons.) in Electrical and Computer Engineering, FCT NOVA (2017) His research focuses on aerial robotics, machine learning, remote sensing, and sensor networks, with applications in UAV navigation, precision agriculture, environmental monitoring, and embedded AI. He has made significant contributions to GPS-denied navigation, multispectral imaging, and AI-driven signal processing. The recent publications reflect a strong trend in integrating deep learning with real-world engineering systems, particularly in UAV autonomy, IoT, and human-centric applications like fall detection and online learning analysis. His work spans algorithm design, software development, and practical deployment in complex environments. Best Paper Award at IEEE Conference (2018) Distinguished Paper Award by LASIGE at FCUL (2021) Best Poster Presentation Award at International Complex Systems and Their Applications Conference (2023) He has secured the competitive Scientific Employment Stimulus (CEEC) grant from FCT and has advised or collaborated on multiple research projects. He has guest-edited special issues in journals such as Drones and Frotiers in Computer Science , and serves as a reviewer for leading scientific journals. He leads the development of open-source tools like AutoNAV and Raster Forge, supporting simulation and geospatial analysis. He is actively involved in research teams at CTS-UNINOVA and COPELABS, focusing on intelligent systems, aerial robotics, and data fusion. His lab work emphasizes practical UAV platforms, sensor integration, and AI deployment in real-time systems.

Terje Rasmussenمشاهده پروفایل

استاد

• Political Sociology
• Media Studies
• Political Theory
• +۱۰ مورد دیگر

Terje Rasmussen is a Professor at the Department of Media and Communication, University of Oslo, with a focus on political sociology media studies digital media political theory social theory His research spans the Internet's role as a political public sphere, transformations of European democracy, and media ethics. Educated at the University of Oslo, Bergen, and UC Santa Cruz, he has held leadership roles in PhD programs and departmental research. Rasmussen's work includes 15 books and edited volumes key contributions to Nordic media and Cold War studies innovative research on situated simulations He has taught at institutions like Oxford and the European University Institute, maintaining a networked approach to media theory and political communication.