جستجوی استاد راهنمای دانشگاهی

Sophie Tourretمشاهده پروفایل

پژوهشگر

• Automated Reasoning
• Formal Logic
• Artificial Intelligence
• +۸ مورد دیگر

Sophie Tourret is a Researcher at Inria (Nancy & LORIA, France) and a guest researcher in the Automation of Logic group at the Max Planck Institute for Informatics (MPII, Germany). Her research focuses on extending automated reasoning techniques to higher-order logic, improving SMT solvers, and generating prime implicates in equational logic. Education: PhD in Computer Sciences, Grenoble Alpes University (2016) Master in Web and Artificial Intelligence, Joseph Fourier University (2012) Engineering Degree, Grenoble INP - Ensimag (2012) Research Interests include automated reasoning, formal logic, artificial intelligence, and logic programming. She leads projects like Matryoshka (extending superposition to higher-order logic) and CPEC (explanation generation in description logics). Recent Publications span topics such as superposition calculus, prime implicate generation, and neural-to-symbolic learning. Her work bridges symbolic reasoning and machine learning in formal logic contexts. Scientific Awards: ILP Best Paper Award (2019) Lise Meitner Award (2018) 2 Minutes Madness Best Poster and Presentation (2014) Teaching Experience includes formal languages theory, database management, and communication networks at Grenoble INP - Ensimag. She also served on program committees for conferences like CADE, IJCAI, and IJCAR.

Parag Chaudhuriمشاهده پروفایل

استاد

• Computer Graphics
• Animation
• Rendering
• +۷ مورد دیگر

Parag Chaudhuri is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay. His research centers on computer graphics, animation, and virtual reality, developing computational models to replicate real-world phenomena for enriched virtual experiences. His educational background includes: Ph.D. from IIT Delhi under Prem Kalra and Subhashis Banerjee Postdoctoral research at MIRALab, University of Geneva with Nadia Magnenat Thalmann Bachelor's degree in Civil Engineering from Delhi College of Engineering Professor Chaudhuri's research spans Computer Graphics with core focus areas in character/natural phenomena animation, visual data understanding, and 2D/3D content generation. His work integrates computer vision, physics simulation, and machine learning to address challenges in virtual worlds. Specific interests include rendering, modeling, VR/AR systems, and vision-based graphics. Applications extend to medical simulation, entertainment, industrial processes, and digital heritage preservation through physics-driven approaches. Recent publications (2022-2025) reveal strong trends in document analysis for multilingual text recognition (especially Indic scripts), real-time hand/character animation in AR environments, and physics-based fracture/deformation systems. His work bridges graphics with machine learning for practical solutions in visual data processing. At IIT Bombay, he mentors graduate students requiring foundational courses CS675 and CS775. He accepts Ph.D./M.S. candidates through official CSE department procedures but does not offer internships to non-IITB students. He leads a research group advancing computational techniques for virtual world creation, focusing on interactive animation systems and visual data synthesis.

Reinhard Heilمشاهده پروفایل

پژوهشگر

• Social consequences of artificial intelligence
• Transhumanism
• Human Enhancement
• +۵ مورد دیگر

Reinhard Heil is a scientific Assistant and Researcher at the Institute for Technology Assessment and Systems Analysis (ITAS) at Karlsruhe Institute of Technology (KIT), where he leads the Research Group 'Digital Technologies and Social Change.' His work focuses on the intersection of technology, society, and ethics, with particular emphasis on artificial intelligence, transhumanism, and technology assessment methodologies. Heil holds a Master's degree in Philosophy, Literature and Sociology from TU Darmstadt (completed by 2003) and has been working at ITAS since 2010 as a Research Associate and Project Manager. His academic journey reflects a deep engagement with philosophical questions surrounding emerging technologies. His research interests span the social consequences of artificial intelligence, transhumanism and human enhancement, vision assessment methodologies, and the philosophical dimensions of technology. He has made significant contributions to understanding how AI systems impact society, particularly examining issues of explainability, trust, and the ethical implications of generative AI systems. His work often bridges theoretical philosophical frameworks with practical technology assessment. His recent publications show a clear trend toward analyzing the societal implications of AI, particularly focusing on explainable AI (XAI), the challenges of generative AI systems, and the philosophical questions these technologies raise about human cognition and experience. He has also maintained a consistent research thread on transhumanism and human enhancement, examining historical contexts and contemporary debates. Heil has led and contributed to numerous significant projects including 'Uncontrollable artificial intelligence: An existential risk?', 'Social trust in learning systems', 'Trust through explainability in verifiable online voting systems', 'Interdisciplinary approaches to deepfakes', and 'Deep Genomics – Opportunities and Challenges of the Convergence of Artificial Intelligence, Modern Human Genomics and Genome Editing'. He has also coordinated the 'Assessing Big Data (ABIDA)' project and managed 'Engineering Life'. As part of ITAS, Heil works within the broader context of technology assessment research, contributing to the institute's mission of analyzing emerging technologies from interdisciplinary perspectives. His work often involves collaboration with various research groups focused on digital technologies, sustainable energy, health technologies, and mobility futures. He frequently engages with policymakers and participates in public discourse on technology governance through lectures, workshops, and media appearances.

• Human-Computer Interaction
• Wearable Computing
• Tactile Interfaces
• +۴ مورد دیگر

Denys J.C. Matthies is an Associate Professor at Technical University of Applied Sciences Lübeck and affiliated with Fraunhofer IMTE Lübeck . He specializes in Human-Computer Interaction , particularly focusing on Wearable Computing , Tactile Feedback Systems , and Activity Recognition through smart footwear and body-worn sensors. Key Collaborations: Augmented Human Lab (NUS), Fraunhofer IGD, City University of Hong Kong Research Themes: Smart wearables, haptic interfaces, physiological sensing, assistive technologies His recent work explores: PhantomFolds (2025) - Spatial tactile feedback via fingernail-mounted LRAs PAVES (2025) - Pneumatic terrain simulation in VR Cyber-Placebo (2024) - Ethical implications of fake-AI in CPHS He has contributed to smart footwear systems like ShoeTect2.0 (2024) and SurfSole (2024), integrating capacitive sensing with neural networks for real-time activity and surface recognition. His work spans medical applications (e.g., 2025 study on hepatic encephalopathy screening) and novel interaction paradigms (e.g., Kavy conversational AI 2024).

• Model use and modeling in science education
• Digital-supported experimentation
• Epistemological foundations of scientific reasoning
• +۳ مورد دیگر

Dr. Marvin Rost is a Researcher at the Chair of Chemistry Education at the Technical University of Munich since February 2025. He holds a Dr. rer. nat. in Chemistry Education from Humboldt University of Berlin and has served as a University Assistant (Postdoc) at the University of Vienna. His research focuses on model use in chemistry education, digital experimentation, and epistemological foundations of scientific reasoning. Education: Master of Education in Chemistry & Philosophy (Berlin), Bachelor of Science in Chemistry & Ethics (Berlin), Chemisch-Technischer Assistent (Berlin), Chemielaborant (Bayer AG) Research Themes: Marvin’s work combines computational grounded theory, latent variable modeling, and Natural Language Processing to analyze reflective practices in technology-integrated chemistry teaching, replication studies in higher education, and epistemic artifacts in scientific reasoning. His recent publications emphasize gamification, model interpretation, and assessment design. Scientific Contributions: Marvin has published in journals like Journal of Science Education and Technology and Chemistry Teacher International , with a monograph on model-based knowledge acquisition in secondary chemistry education. His methodological focus includes causal analysis, NLP, and Item Response Theory. Projects: Involved in initiatives like DigiProMIN, EuroTeQ, and Teach@TUM, Marvin develops digital teaching materials such as DEANs (Digital Experimentation Assistants) and LEGO titration robots.

Marsil Zakourمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• Human-Object Interaction
• +۲ مورد دیگر

Marsil Zakour is a Ph.D. Candidate and Researcher at the Chair of Media Technology (Technical University of Munich). He holds a Master of Science in Computer Science from TUM (2021) and a Bachelor of Science in Software Engineering from Al-Baath University (2016). His work focuses on 3D reconstruction, understanding, and synthesis of hand-object interactions. Research Interests 3D Hand-Object Interaction Modeling Human Activity Understanding Computer Vision Machine Learning Key Projects Centre for Tactile Internet with Human-in-the-Loop (CeTI) 5G Testbed Bayern (eHealth focus) KMU-Innovativ: KIMaps IEEE P1918.1.1 Haptic Codecs Publications His research spans action segmentation, embodied AI, and 3D object feature modeling, with recent works on procedural mistake detection (ICCV 2025), vision-language models (CVPR 2025), and domain adaptation (IROS 2024). Supervision Zakour mentors students in projects like Hand Pose Estimation Using Multi-View RGB-D Sequences , requiring expertise in computer vision and deep learning frameworks.

Saining Xieمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Visual Intelligence
• +۳ مورد دیگر

Saining Xie is an Assistant Professor of Computer Science at NYU Courant Institute of Mathematical Sciences and affiliated with the NYU Center for Data Science. He leads the CILVR research group and teaches courses including Computer Vision, Machine Learning, and Learning with Large Language and Vision Models at the graduate level. His educational background includes a Ph.D. and M.S. from UC San Diego's CSE Department under Zhuowen Tu's supervision, and a bachelor's degree from Shanghai Jiao Tong University. During his doctoral studies, he interned at NEC Labs, Adobe, Facebook, Google, and DeepMind. Dr. Xie's research focuses on advancing robust visual intelligence through scalable and reliable systems that interpret visual events and develop common sense understanding of the world. His work spans computer vision, machine learning, representation learning, and multimodal systems, with particular emphasis on developing architectures that bridge vision and language understanding. His publications demonstrate significant contributions to vision-language models, diffusion models, convolutional neural networks, and 3D scene understanding, with numerous papers appearing at top conferences including NeurIPS, CVPR, and ICCV, often receiving recognition as oral or spotlight presentations. Oral Presentation at NeurIPS 2024 Oral Presentation at CVPR 2024 Spotlight Presentation at ICLR 2023 Oral Presentation at ICCV 2023 Best Paper Nomination at CVPR 2020 Dr. Xie actively mentors PhD students including Ellis Brown, Fred Lu, Xichen Pan, Peter Tong, and others. He has organized major tutorials at CVPR and ECCV on Visual Recognition for Images, Video, and 3D, and his research has practical applications in visual grounding, multimodal reasoning, and robust AI systems. His lab maintains strong connections with industry research labs including FAIR, where he previously worked as a research scientist.

Ebba Theorellمشاهده پروفایل

مدرس ارشد

• Teaching and Learning
• Subject Matter Didactics
• Post-Theoretical Approaches
• +۳ مورد دیگر

Senior Lecturer Ebba Theorell works at Stockholm University's Department of Teaching and Learning, where she explores post-theoretical approaches to education. Her research focuses on kinesthetic learning, aesthetic dimensions in early childhood education, and the transformation of war play into educational frameworks. Stockholm University Department of Teaching and Learning Her research group Encountering Subject Matter Didactics and Post-Theoretical Approaches examines how movement-based learning transcends traditional pedagogy. Key projects include: Tacit Dimensions of Pedagogy : Investigating implicit learning mechanisms Site-Related Kinesthetic Teaching : Studying environment-embodied learning Her work reveals connections between: 10+ years of ethnographic war play observation Transdisciplinary analysis of classical music impact Aesthetic space design in educational settings

Gabriela Cusenمشاهده پروفایل

مدرس ارشد

• Language Learning
• Language Teaching
• Applied Linguistics
• +۲ مورد دیگر

Gabriela Cusen is a Senior Lecturer at the Department of Theoretical and Applied Linguistics , Faculty of Letters , Transilvania University of Brașov , Romania. Her academic work bridges applied linguistics with sociolinguistic and discourse analysis perspectives. Research focus: Language learning strategies, academic writing, vague language, and multilingualism Key domains: Doctor-patient interactions, political discourse, and scientific communication Recent publications analyze vague language in academic and institutional contexts, interruption patterns in professional interactions, and multilingual attitudes in Romanian migration contexts. Her work combines theoretical linguistics with practical applications in education and professional communication.

• Global Media Studies
• Critical Cultural Studies
• Transnational Migration
• +۷ مورد دیگر

Kate Zambon is an Associate Professor in the Department of Communication at the University of New Hampshire's College of Liberal Arts. Her research examines the cultural politics of nationalism, migration, and integration through critical media analysis, with particular focus on European contexts and German case studies. She directs CAMRA (Collaborative for Advanced Multimedia Research and Applications), an interdisciplinary initiative advancing multimodal scholarship beyond traditional written formats. Her educational background includes a B.A. in Italian and German Studies from Vassar College, followed by M.A. and Ph.D. degrees in Communication from the University of Pennsylvania. Her research takes a historically grounded approach connecting media representations to political and economic logics, with emphasis on transnational migration, biopolitics, and the affective dimensions of citizenship. Zambon's publication trends reveal sustained engagement with European integration paradigms since 2014, evolving from analyses of German football nationalism and transcultural comedy toward contemporary examinations of celebrity politics, hip-hop pedagogy, and affective dimensions of sports. Her work consistently interrogates how media representations reinforce or challenge racialized integration logics, with recent scholarship focusing on the refusal of multiculturalism across Europe and the rise of new policing paradigms for transnational populations. As founding director of CAMRA, she leads initiatives promoting digital, film, audio, and web-based scholarship across disciplines. Her teaching portfolio includes courses on Global Media Culture & Power, Media & Global Populism, and Introduction to Media Studies, reflecting her commitment to transnational media analysis and critical pedagogy approaches.

Ingrid Vilà Giménezمشاهده پروفایل

استادیار

• Language Development
• Multimodal Interaction
• Speech and Language Processing
• +۳ مورد دیگر

Ingrid Vilà-Giménez is an Assistant Professor at the Department of Specific Didactics (Faculty of Education and Psychology) at the University of Girona. She holds a PhD in Language Sciences from Pompeu Fabra University (2020) and has completed prestigious postdoctoral fellowships, including the Margarita Salas (2022) and Juan de la Cierva-Formación (2023) programs. She teaches in early childhood and primary education programs and collaborates with multiple institutions including the Open University of Catalonia and Pompeu Fabra University. PhD in Language Sciences, Pompeu Fabra University (2020) MSc in Linguistics, Pompeu Fabra University (2016) Teacher Training, University of Barcelona (2015) Her research focuses on multimodal communication in child development, particularly examining how beat gestures and prosody interact to shape language acquisition. Key interests include: Gesture-speech integration in narrative development Prosody's role in multimodal communication Non-referential gesture analysis Temporal alignment patterns in child discourse Pragmatic prosody acquisition Gesture annotation frameworks Recent article trends show increasing focus on interdisciplinary approaches combining gesture analysis, pragmatic prosody, and narrative competence. Her work has been cited over 13,000 times with significant contributions to understanding multimodal communication's impact on early language education. Scientific achievements include: Premi Extraordinari de Doctorat (Extraordinary PhD Award) Margarita Salas Postdoctoral Fellowship Juan de la Cierva-Formación Fellowship Editorial Board Member, Frontiers in Communication She collaborates with international institutions like University of Chicago and University of Iowa, and leads research within the Comparative Minds Research Group. Her work bridges cognitive linguistics, educational practice, and multimodal analysis methodologies.

Marco Cuturiمشاهده پروفایل

استاد

• Machine Learning
• Optimal Transport
• Statistics
• +۳ مورد دیگر

Marco Cuturi is a Professor of Statistics at ENSAE (École Nationale de la Statistique et de l'Administration Économique), part of Institut Polytechnique de Paris, where he has been affiliated since 2016, working part-time since 2018. He is also a CREST Permanent Member and a Research Scientist at Apple ML Research in Paris, having previously worked at Google Brain from 2018 to 2022. His academic journey includes positions as an Associate Professor at Kyoto University's Graduate School of Informatics (2010-2016), a lecturer at Princeton University's ORFE department (2009-2010), and postdoctoral research at the Institute of Statistical Mathematics in Tokyo (2005-2007). Dr. Cuturi earned his Ph.D. from École des Mines de Paris in 2005 and holds a master's degree from ENS Cachan, having graduated from ENSAE in 2001. His research centers on the application of optimal transport theory to machine learning and statistics, with significant contributions to computational optimal transport, kernel methods, and time series analysis. His influential work includes the development of the Sinkhorn distance for fast computation of optimal transport, soft-DTW for time series alignment, and various applications of optimal transport in machine learning. His research program explores how geometric structures can be leveraged in statistical learning, with recent work focusing on entropic optimal transport solvers, Gromov-Wasserstein distances, and applications to single-cell biology and multimodal learning. Dr. Cuturi's publications reveal a consistent trajectory of developing theoretically grounded yet computationally efficient methods that bridge optimal transport theory with practical machine learning applications across diverse domains including computer vision, natural language processing, and computational biology. Among his professional recognitions is a Notable Paper Award at AISTATS 2020 for his work on regularization in optimal transport. He serves as an Associate Editor for JMLR and has held senior area chair positions at NeurIPS and ICML. Dr. Cuturi has organized major machine learning events including the Machine Learning Summer School in Kyoto (2012, 2015) and co-organized workshops on optimal transport at major conferences. Dr. Cuturi has supervised numerous doctoral students including Nina Vesseron, Théo Uscidda, Charlotte Bunne, and Othmane Sebbouh, with research spanning optimal transport applications in generative modeling, representation learning, and biological data analysis. His current research group at ENSAE and Apple continues to push the boundaries of optimal transport methodology and its applications to cutting-edge machine learning problems.

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 .

• Reinforcement Learning
• Artificial Intelligence
• Natural Language Processing
• +۴ مورد دیگر

Sylvain Lamprier is an Adjunct Professor affiliated with the Institute for Intelligent Systems and Robotics (ISIR) at Sorbonne University, working closely with the Machine Learning and Artificial Intelligence (MLIA) team. His research spans reinforcement learning, adversarial robustness, fairness in AI, and natural language processing. Specializes in robustness of deep RL agents against adversarial attacks Investigates fairness mechanisms without sensitive attributes Develops cooperative learning frameworks for language models Contributes to symbolic regression and query decomposition techniques Recent work includes ensemble methods for adversarial robustness (CAp 2025), distributionally robust auto-encoding (2025), and grounding LLMs in interactive environments (ICML 2023). Publications in top venues like NeurIPS, IJCAI, and ACL reflect his interdisciplinary focus. No scientific awards or part-time status are explicitly mentioned.

• Swedish mother-tongue education
• Social interaction in educational settings
• Communication aids for children with disabilities
• +۷ مورد دیگر

Niklas Norén is a Senior Lecturer in Didactics at the Department of Education, Uppsala University. His work bridges Swedish language education with social interaction analysis, focusing on communication practices in educational settings. He supervises students at basic, bachelor's, and master's levels while leading the Special Needs Education specialization within the Master Programme in Educational Sciences. Member of research groups: CLIP, STOLP, PS Network affiliations: NISCI, OFTI Research spans three core areas: (1) Communication aids for children with neurological impairments, (2) Institutional interaction analysis using EMCA methodology, and (3) Grammatical constructions in conversational contexts. Recent projects examine classroom discourse, mathematical reasoning in groups, and digital writing practices. Key article trends: 2022-2025 work emphasizes mathematical discourse and digital communication , while longitudinal research (2013-2022) explores pivot constructions and eye-gaze AAC devices . Methodologically grounded in ethnomethodology and conversation analysis . Network involvement includes coordination of NISCI (special educational needs network) and web administration for OFTI. His research combines theoretical linguistics with practical applications in inclusive education, particularly for children with cerebral palsy and autism spectrum disorders.