جست‌وجوی استاد و پژوهشگر

Dirk-Jan Visserمشاهده پروفایل

مدرس ارشد

• Ecological Challenges
• Sustainability
• Documentary Photography
• +۴ مورد دیگر

Dirk-Jan Visser is a Senior Lecturer at the Royal Academy of Art (KABK) in The Hague, specializing in the Bachelor Photography and Master Photography & Society programs. He concurrently serves on the Supervisory Board of the World Press Photo Foundation, blending academic rigor with frontline cultural advocacy. His multidisciplinary practice intersects documentary photography, ecological research, and political engagement, with projects exhibited at institutions like MoMA New York and presented at UN Climate Summits (COP27). Research Focus Visser pioneers artistic investigations into ecological sustainability and non-human perspectives , employing AI visualization and stakeholder analysis to reimagine anthropocentric systems. His work in migration studies examines displacement through intimate narratives, while projects like The Rise of Populism dissect European sociopolitical fractures. Core methodologies include: Multimedia storytelling for human rights advocacy Landscape ethnography in Anthropocene contexts Participatory frameworks for inclusive policymaking Awards & Recognition Dutch Design Award (2015) for Refugee Republic POYi World Understanding Award (2009) Gouden Kalveren nominations at Netherlands Film Festival Exhibitions at MoMA, Visa pour l'Image, Beijing Photo Biennial Professional Engagements As Visiting Tutor for the Master of Photography and Society (MAPS), he mentors emerging visual storytellers. His collaborative initiatives include the KABK Research Group (2020) and cross-disciplinary projects like New Horizon Initiative , which fuses environmental science with AI-generated visualizations to influence UN climate policy.

Jannis Vamvasمشاهده پروفایل

مدرس

• Natural Language Processing
• Multilingual Language Models
• Machine Translation
• +۵ مورد دیگر

Jannis Vamvas is a Lecturer and active researcher in the Department of Computational Linguistics at the University of Zurich, Switzerland. With a PhD thesis titled Model-Based Evaluation of Multilinguality , he specializes in deep learning for natural language processing, with particular emphasis on multilingual language models and their evaluation. Academic Roles Current Lecturer for Large Language Models , Text Generation , and Mathematical Foundations at UZH Postdoctoral Researcher (MUTAMUR Project, 2023) PhD in Computational Linguistics (2019-2023, supervised by Rico Sennrich, Lena A. Jäger, and Martin Volk) Education M.Sc. in Computational Linguistics (major) and Computer Science (minor) at LMU Munich (2017-2019) B.A. in Computer Science and Philosophy from University of Basel (2011-2015) His research focuses on multilingual language models, particularly SwissBERT for Swiss languages, and methods for evaluating translation quality through approaches like Contrastive Conditioning and Translation Cross-Likelihood. He explores how to adapt models to local data, detect translation errors, and improve document translation through source-primed conversation techniques. Recent publications highlight his work on: Translation direction detection Hallucination mitigation in machine translation Minimum Bayes Risk decoding Swiss multilingual language modeling Semantic difference recognition Scientific recognition includes: EAMT 2024 Highly Commended Thesis Best Paper Award at SwissText 2025 Best Scientific Paper Award at SwissText 2024 He teaches advanced courses on Large Language Models, Text Generation, and Mathematical Foundations, and has served as organizer of the Computational Linguistics Colloquium at UZH. Current projects include the InvestigaDiff initiative and machine translation for Romansh idioms.

Nuno Silvaمشاهده پروفایل

مدرس

• Finance
• Accounting
• Intellectual Property Law
• +۴ مورد دیگر

Nuno Silva is a Lecturer at Católica Lisbon School of Business and Economics, Catholic University of Portugal, with stated scientific areas in Finance and Accounting. His extensive publication record reveals significant interdisciplinary engagement with Intellectual Property Law and digital regulation. His research interests include: Intellectual Property Law Copyright Law Artificial Intelligence and Law Technology Regulation European Union Law Finance and Accounting Analysis of his 15 most recent publications shows a clear evolution from traditional IP topics toward contemporary digital governance challenges. His work increasingly focuses on EU legislative responses to AI and digital platforms, particularly the AI Act and Copyright Directive 2019/790, demonstrating active contribution to evolving legal frameworks in technology.

• Mathematics Education
• Artificial Intelligence in Education
• Mathematical Proof and Reasoning
• +۵ مورد دیگر

Philippe R. Richard is a Full Professor at the Department of Didactics within the Faculty of Education at Université de Montréal. Based in the Marie-Victorin building (Office D516), he specializes in mathematics education with a focus on technological integration. His research examines the intersection of mathematical reasoning and artificial intelligence, particularly in secondary education contexts. Richard's primary research interests include: Mathematics education and artificial intelligence integration Mathematical work and workspace theory Knowledge and reasoning modeling Problem-solving strategies and proof techniques Educational technology for mathematics learning Distance learning and teacher training methodologies His work emphasizes how AI transforms mathematical practice while addressing epistemological and cognitive challenges in educational settings. Analysis of recent publications (2016-2024) reveals consistent themes: the impact of AI on mathematical work, development of intelligent tutoring systems (especially for geometry proofs), and theoretical frameworks for technology-enhanced mathematics education. His research increasingly focuses on hybrid human-AI collaboration models and their didactic implications. Scientific Awards: Finalist for the Minister of Education, Leisure and Sports Prize (2004-2005) Ramón y Cajal Fellowship (co-funded by Spanish Ministry of Science and European Social Fund) Richard leads significant research initiatives, including a 5-year international project (2025-2030) examining AI-supported proof learning in secondary geometry. He directs the development of tutoring systems like QED-Tutrix and collaborates with interdisciplinary teams across Europe and North America. Current work explores instrumental proofs and discursive AI generation in mathematics education.

Maunendra Sankar Desarkarمشاهده پروفایل

دانشیار

• Natural Language Processing
• Information Retrieval
• Machine Learning
• +۱۰ مورد دیگر

Dr. Maunendra Sankar Desarkar is an Associate Professor at the Computer Science and Engineering Department of Indian Institute of Technology Hyderabad , India, with affiliations to the AI Department. His research spans Natural Language Processing , Information Retrieval , and Machine Learning , focusing on robust, responsible, and culturally-aware AI systems. Education: B.E. (University of Burdwan), M.Tech (IIT Kanpur), Ph.D. (IIT Kharagpur, 2014) Current work emphasizes zero-shot cross-lingual transfer , dialogue interpretability , and ethical NLP (non-toxicity, empathy). Recent articles explore large language model evaluation , hallucination detection , and tokenization for Indic languages . Collaborations include Microsoft and JICA-funded projects. Scientific contributions include: Microsoft India Ph.D. Fellowship Award Yahoo Key Scientific Challenges Honorable Mention (2012) Students include Suvodip Dey (Ph.D. in Dialogue Systems), Aishwarya Maheswaran , Debolena Basak , Kaushal Kumar Maurya , and Maharaj Brahma . Advises on projects involving disaster response systems , generative AI , and multilingual NLP .

Georg Ahnertمشاهده پروفایل

پژوهشگر

• Computational Social Science
• Data Science
• Large Language Models (LLMs)
• +۵ مورد دیگر

Georg Ahnert is a Researcher at the Chair of Data Science in the Economic and Social Sciences at the University of Mannheim since 2023. He previously worked as a Student Assistant at GESIS Leibniz Institute for the Social Sciences and conducted internships at LMU Munich's SODA Lab and the Computational Social Science Lab at the Institute of Science Tokyo. M.Sc. Computational Social Systems (2023), RWTH Aachen University B.Sc. Computer Science (2020), RWTH Aachen University His research focuses on Large Language Models (LLMs) in social science contexts, including: Fairness-aware algorithm design Generative agent-based modeling Temporal affect analysis in social media Survey methodology integration with NLP Methodological frameworks for digital data Human-like bias detection in AI responses He teaches the Master's course IS 617 – Large Language Models for the Economic and Social Sciences , covering both theoretical and practical applications of LLMs in social science domains. His recent publications (2021-2025) demonstrate expertise at the intersection of computational methods and social science analysis, with a strong emphasis on temporal modeling, fairness, and methodological innovation.

Vladislav Maraevمشاهده پروفایل

پژوهشگر ارشد

• Computational linguistics
• Dialogue systems
• Human-AI interaction
• +۵ مورد دیگر

Vladislav Maraev is a Postdoctoral researcher at the Centre for Linguistic Theory and Studies in Probability (CLASP), Department of Philosophy, Linguistics and Theory of Science, University of Gothenburg, Sweden. Previously, he worked as a Postdoctoral researcher at the Department of Applied IT, Division of Cognition & Communication (2022-2023), and completed his PhD at CLASP (2017-2022). His academic journey began with a Research Assistant position at NLX Group, University of Lisbon, Portugal (2016-2017). Maraev's research centers on computational linguistics and human-AI interaction, with a specific focus on gaze and laughter coordination in socially interactive agents . He positions his work in the broad field of computational linguistics, building models that reproduce human behavior to understand cognition, with the ultimate goal of creating better AI systems. He emphasizes that dialogue is a form of joint action requiring coordination on multiple levels, from timing to meaning interpretation. His work bridges theoretical linguistics with practical applications in dialogue systems. His publication record reveals a consistent focus on multimodal communication, particularly examining how laughter functions within human-robot dialogue. Maraev's recent work explores non-humorous laughter in social robots, metaphor usage in conversation, strategies for handling confrontational dialogue, and the role of laughter in social perception of robots. His research demonstrates how computational approaches can model complex social phenomena like laughter coordination and pragmatic interpretation. Maraev is actively involved with the ACID research team at ISIR and contributes to the CLASP research center at the University of Gothenburg. His collaborative work with researchers including Christine Howes, Chiara Mazzocconi, and Ellen Breitholtz has produced numerous publications in top venues for human-computer interaction and computational linguistics. His research trajectory shows increasing sophistication in modeling the complex interplay between verbal and non-verbal communication in social interactions with AI systems.

• Inquiry-Based Learning
• Educational Technology
• Learning Analytics
• +۳ مورد دیگر

Ton de Jong is a Full Professor in Instructional Technology at the University of Twente, Netherlands, with over 457 research publications and an h-index of 51. He chairs the Program Council for the Netherlands Initiative for Education Research (2020-2025) and leads pioneering work in inquiry-based learning through digital environments like the Go-Lab platform for online science labs. His research centers on designing technology-enhanced learning systems that foster scientific inquiry, including virtual experiments, conversational agents, and gamified environments. Key interests include how analogies facilitate quantum physics understanding, how reflection improves concept mapping, and how collaborative dialogue boosts knowledge acquisition. His work emphasizes addressing misconceptions in science education through simulation-based learning and adaptive feedback systems. Recent publications (2022-2025) reveal a strong focus on AI-driven educational tools, particularly collaborative conversational agents for dialogue productivity and team-based gamification for engagement. He also investigates the integration of inquiry-based and direct instruction methods, quantum physics pedagogy, and learning analytics applications across diverse educational contexts from secondary schools to vocational training. His scientific recognition includes: Distinguished Development Award by AECT (2017) Fellow of the International Society of Learning Sciences (2018) Science Inquiry Based Instruction Prize (2013) Winner of Estonian Research Council’s National Contest (2015) He has supervised 33 students and contributed to major international projects like Go-Lab’s implementation in Africa. His editorial roles include serving on the boards of PLoS ONE and Themes in eLearning, and he actively shapes policy through national research initiatives. De Jong collaborates globally through networks like the Go-Lab federation, developing transferable tools for science education. Current efforts focus on AI-enhanced learning analytics, stress measurement in digital decision games, and inclusive digital environments for gifted learners, positioning him at the forefront of educational technology innovation.

• Natural Language Processing
• Speech Technology
• Computer-Assisted Language Learning (CALL)
• +۵ مورد دیگر

Nikolaos Tsourakis is a researcher affiliated with the University of Geneva , specifically the Faculty of Translation and Interpreting , and contributes to the TIM/ISSCO research groups. His work primarily focuses on natural language processing, speech technology, and computer-assisted language learning (CALL), with a strong emphasis on accessibility and medical applications. Research Interests Natural Language Processing Speech-to-Speech Translation Text Simplification Computer-Assisted Language Learning (CALL) Medical Informatics Multimodal Interaction Tsourakis's recent publications highlight advancements in French text simplification, robust synthetic data generation, and the use of BERT for complexity assessment. His work often integrates machine learning techniques with practical applications in medical and educational contexts. Notable Projects BabelDr : Web platform for rapid development of medical speech translation CALL-SLT : Spoken CALL systems for language learning MEDSLT : Medical speech translation systems Tsourakis has supervised no formal advisees but has contributed to numerous publications and research initiatives, particularly in low-resource language processing and ethical AI design.

Maria Eidenskogمشاهده پروفایل

مدرس

• Energy Efficiency
• Sustainable Building Design
• Digitalization in Construction
• +۷ مورد دیگر

Maria Eidenskog is a Lecturer at Linköping University's Department of Theme, specializing in Theme Technology and Social Change. She serves as Director of the Center for Humanity, Technology and Society (CMTS), Chief Director of Studies for the Faculty of Engineering's courses at Tema, and Board member of the Institutional Board for Tema. Her work bridges technical, social, and ethical perspectives in sustainability research. Dr. Eidenskog's educational background includes: PhD in Technology and Social Change from Linköping University (2015), with dissertation "Caring for Corporate Sustainability" Bachelor's degree in Human Resources and Work Science from Linköping University (2007) Master's degree in Practical Philosophy from Linköping University (2006) Study Abroad at The University of Western Australia (2006) Maria Eidenskog's research focuses on the interdisciplinary intersection of energy, sustainability, and technology in buildings and cities. She examines how technical innovations integrate into everyday practice and affect work environments, domestic living, and knowledge creation. Her work combines technical, social, and ethical perspectives to understand challenges that arise when new technologies are introduced. Specific areas include Building Information Modeling (BIM), AI applications for energy calculations, circular material flows (particularly flat glass), and socio-technical aspects of sustainable urban development. Analysis of Maria Eidenskog's recent publications reveals a strong focus on socio-technical approaches to sustainability, with particular attention to how digital technologies transform construction practices and urban environments. Her work consistently examines the human dimensions of technological change, emphasizing care ethics, knowledge production, and the social implications of digital tools like BIM. A recurring theme is the exploration of circular material flows, particularly through glass, to understand how sustainability goals can be implemented in technically feasible and socially sustainable ways. Maria Eidenskog leads several significant research projects focused on sustainable development: Exploring the potential of generative AI for future energy systems Investigating occupational health and safety risks in circular flat glass flows STRIPE - Sociotechnical research on infrastructures, politics and environment Center for Humanity, Technology and Society (CMTS) Digitalization's impact on construction planning processes Social sustainability in Vallastaden district development As Director of CMTS, Maria Eidenskog works to integrate social sciences and humanities into engineering education. Her research methodology often involves creating space for dialogue and reflection through workshops to understand how sustainability goals can be put into practice. She employs theories from Science and Technology Studies (STS), particularly care and socio-material relations, to explore technology's ethical and political implications in practical contexts.

• Performance Art
• Live Art
• Video Installation
• +۷ مورد دیگر

Gary Stevens serves as Associate Professor in Fine Art at University College London's Slade School of Fine Art since 2016, following a part-time Lecturer position (2007-2016). His academic career spans decades across institutions including Goldsmith's, Ruskin School of Art, and Royal College of Art, where he developed performance pedagogy through workshops and master classes. As an artist, Stevens evolved from 1970s conceptual sculpture into internationally recognized live performances and video installations that challenge conventional boundaries between sculpture, theatre, and audience participation. Stevens' research centers on group dynamics as sculptural practice , exploring how ensembles generate collective intelligence through repetition and feedback systems. His work investigates extended mind theory through low-tech models of artificial consciousness, where performers operate without scripts using rules-based interactions. Key themes include temporal representation (contrasting painting's stillness with video's flow), psychological integrity in group settings, and the destabilization of narrative through durational structures. His methodology emphasizes studio-based development with diverse artist-performers who transcend disciplinary specialisms to solve common problems. Analysis of Stevens' recent works reveals consistent exploration of identity emergence through collective systems . From Outburst 's viral song propagation to A Story of Sorts ' text-based consciousness modeling, his practice examines how individuality dissolves and reforms within group structures. Performances frequently incorporate audiences into fictional frameworks while maintaining precarious physical relationships to stage spaces, creating intentional discomfort that questions theatrical conventions. Stevens directed the Performance Lab at Toynbee Studios (1999-2009), fostering experimental collaborations across artistic disciplines. His international residencies—often developed through open calls—provided unique opportunities for cross-disciplinary artists to engage with his ensemble-based methodology. While grant funding isn't specified in the text, his extensive exhibition history across European galleries, theatres, and public spaces demonstrates significant professional recognition and institutional support for his innovative practice.

Lixiao Huangمشاهده پروفایل

عضو هیئت علمی

• Human-AI-Robot Teaming
• Human Factors and Applied Cognition
• Emotional Attachment to Technology
• +۳ مورد دیگر

Dr. Lixiao Huang serves as a Research Assistant Professor at Arizona State University's Center for Human, Artificial Intelligence, and Robot Teaming (CHART) within the Global Security Initiative, operating under the Ira A. Fulton Schools of Engineering. Her research integrates human factors principles with robotics and AI development to create effective human-technology systems. Education: Ph.D. in Human Factors and Applied Cognition, NC State University M.S. in Industrial/Organizational Psychology, Emporia State University M.Ed. in Applied Psychology with concentration in Human Resources Development, Beijing Normal University B.S. in Applied Psychology, Shanxi University Dr. Huang's research focuses on three interconnected domains: (1) Human-AI-Robot Teaming effectiveness through Distributed Dynamic Team Trust (D2T2) frameworks; (2) Modeling human emotional, behavioral, and cognitive responses to autonomous systems, particularly examining emotional attachment, intrinsic motivation, and trust dynamics; (3) Applying human factors methods to design user-friendly, safe, and trustworthy human-robot interfaces. Her work bridges robotics engineering with cognitive science to optimize team performance in complex environments. Analysis of her recent publications reveals a strong emphasis on dynamical systems approaches to human-automation interaction, with increasing focus on physiological metrics for team performance prediction and the development of standardized evaluation frameworks for artificial social intelligence. Her research increasingly incorporates machine learning techniques for real-time system adaptation. As founding chair of the Human-AI-Robot Teaming (HART) technical group at the Human Factors and Ergonomics Society, Dr. Huang has established herself as a leader in her field. She has served as research lead on multiple high-impact defense projects funded by ARL, ONR, and DARPA, focusing on next-generation combat vehicle systems and search-and-rescue applications. Dr. Huang directs the Human-Robot Coevolution Laboratory (HuRoCo), which develops experimental testbeds for studying human-technology teaming dynamics. Her lab emphasizes translational research that bridges theoretical human factors principles with practical robotics applications, particularly in safety-critical domains requiring high levels of human-automation coordination.

• Instructional Technology
• Cooperative Learning
• Self-Regulated Learning
• +۳ مورد دیگر

Alieke M. van Dijk is an Assistant Professor at the University of Twente , affiliated with the Digital Society Institute within the Faculty of Behavioural, Management and Social Sciences. She investigates how instructional technology can foster cooperative and self-regulated learning in mixed-ability primary-school classrooms, with a special focus on digital scaffolding, inquiry-based science education, and the inclusion of gifted learners. Research interests span instructional design of cooperative scripts, technology-enhanced scaffolds (concept maps, reflection prompts, simulations), socially shared regulation of learning, and differential effects of learner ability. Her work combines design-based research with classroom observations and qualitative analysis to create practical pedagogical innovations. Across more than thirty-five peer-reviewed outputs (2011-2025) she explores themes such as collaborative drawing on shared digital canvases , uncertainty management , feedback mechanisms , and generative-AI acceptance among university educators . Recent articles reveal a shift toward (1) AI in higher-education professional development, (2) fine-grained measurement of self-regulated learning strategies during inquiry, and (3) advanced scaffolding techniques combining concept mapping with metacognitive prompts. Dr van Dijk regularly disseminates findings through invited keynote talks and workshops for teachers, emphasizing evidence-based strategies to nurture excellence and equity in heterogeneous classrooms. She currently holds an h-index of 7 (Scopus) and continues to extend her research on digital learning environments that simultaneously challenge gifted learners and support all pupils in cooperative settings.

Eleanor Roschمشاهده پروفایل

استاد

• Cognitive Psychology
• Categorization
• Prototype Theory
• +۶ مورد دیگر

Eleanor Rosch is a distinguished Professor of Psychology at the University of California, Berkeley, where she has made groundbreaking contributions to cognitive psychology. Her work primarily focuses on categorization processes, prototype theory, and the intersection of Eastern philosophy with Western psychology. She has been affiliated with several prestigious institutions throughout her career including Brown University and Connecticut College before joining UC Berkeley in 1971. Rosch's educational background reflects her interdisciplinary approach: Completed undergraduate philosophy thesis at Reed College on Wittgenstein Later returned to Harvard to study clinical psychology at the Department of Social Relations Received her Ph.D. from Harvard under the direction of Roger Brown Eleanor Rosch's research has fundamentally reshaped our understanding of how humans categorize the world around them. Her prototype theory revolutionized cognitive psychology by demonstrating that people categorize objects based on their similarity to a "prototype" rather than through strict logical definitions. Through field experiments with the Dani people of Papua New Guinea, she showed that basic-level categories exist across cultures, revealing universal aspects of human cognition despite linguistic differences. Her more recent work has expanded into the psychology of religion, exploring how Buddhist meditation and contemplative practices can inform modern psychological understanding. Rosch has conducted extensive research on semantic categorization, mental representation of concepts, linguistics, cognition, concepts, causality, thinking, memory, and cross-cultural psychology. An analysis of Rosch's publication trends reveals a fascinating evolution from her foundational work in categorization and prototype theory toward more integrative approaches that bridge cognitive science with Eastern philosophical traditions. While her early career was dominated by empirical studies of categorization processes, her later work increasingly explores the implications of Buddhist thought for psychology, mindfulness practices, and the nature of human experience. This trajectory reflects her ongoing commitment to challenging Western cognitive science's assumptions while developing more holistic models of mind. Rosch's significant contributions to cognitive science have been recognized through several prestigious honors: Fellow of the Cognitive Science Society Extensive recognition as one of the most influential psychologists globally (ranked #17 in Psychology worldwide) Invited mediator for discussions between Western scientists and the Dalai Lama Throughout her career, Eleanor Rosch has mentored numerous students and collaborated with leading researchers in cognitive science. Her work with Francisco Varela on "The Embodied Mind" represents a landmark contribution to enactive cognitive science. Rosch has secured significant research funding for her cross-cultural studies, particularly her fieldwork with the Dani people of Papua New Guinea, which provided crucial evidence for the universality of certain cognitive categories. Her research has inspired multiple generations of cognitive scientists and continues to influence fields ranging from artificial intelligence to cross-cultural psychology. Rosch's intellectual journey has led her to establish connections between cognitive science laboratories and contemplative practice communities. While not heading a specific laboratory as traditionally conceived, her work has fostered collaborative networks that bridge academic psychology with Buddhist meditation centers and interfaith dialogue initiatives. Her participation in the Mind and Life Institute dialogues with the Dalai Lama has created ongoing opportunities for interdisciplinary exchange between scientists and contemplative practitioners.

Luc Döbereinerمشاهده پروفایل

استاد

• Algorithmic Composition
• Sound Synthesis
• Artificial Intelligence in Music
• +۳ مورد دیگر

Luc Döbereiner is Professor of AI in Composition and Sound Synthesis at the University of Music Trossingen and Lehrbeauftragter at Berlin Career College (Berlin University of the Arts). His educational background includes: Studies at Institute of Sonology, The Hague Doctoral degree from University of Music and Performing Arts Graz His research bridges materiality, ideality, and perception through algorithmic sound computation, with core focus areas: Generative music systems using AI Physical modeling of sound synthesis Computational aesthetics in composition Human-computer interaction in music creation Philosophy of algorithmic art Neuroaesthetics of electronic music As both researcher and active composer, he integrates theoretical frameworks with practical electronic and instrumental works, advancing the dialogue between computational methods and artistic expression in contemporary music.