جست‌وجوی استاد و پژوهشگر

Laurent Girinمشاهده پروفایل

استاد

• Speech Processing
• Audio Signal Processing
• Signal Processing
• +۴ مورد دیگر

Laurent Girin is a Professor at Grenoble Institute of Technology (Grenoble-INP), a member of Univ. Grenoble Alpes. He teaches within PHELMA (Physics, Electronics and Materials Department) and conducts research at GIPSA-Lab, a CNRS-associated laboratory focused on image, speech, signal, and automation sciences. He also maintains a collaborative relationship with the INRIA-Perception research team, contributing to advanced perception systems and audio-visual signal analysis. His research interests lie primarily in speech and audio signal processing , with applications in human-machine interaction, acoustic modeling, and machine learning for audio. His work bridges engineering and cognitive sciences, aiming to model and understand complex audio signals in real-world environments. Laurent Girin has contributed extensively to the field through publications in signal processing and audio analysis. While specific titles are not listed here, his research trends indicate a strong focus on computational auditory scene analysis, speaker tracking, and multimodal perception systems. Member of GIPSA-Lab, CNRS & Univ. Grenoble Alpes Regular collaborator, INRIA-Perception team He advises students in signal processing and audio technologies, though specific names are not provided. There is no public information on grants or funding sources in the provided text. His work is supported through institutional collaborations between Grenoble-INP, CNRS, and INRIA. Laurent Girin is actively involved in research teams focusing on perception and signal processing, particularly within the GIPSA-Lab and INRIA-Perception environments. These labs specialize in advanced signal analysis, machine learning for sensory data, and intelligent systems development.

• Computer Vision
• Machine Learning
• 4D Vision
• +۹ مورد دیگر

Adrian Hilton is a Professor of AI and Computer Vision at the University of Surrey, UK. He serves as the Founding Director of the Surrey Institute for People-Centred AI and Director of the Centre for Vision, Speech and Signal Processing. His research focuses on advanced fields such as 4D Vision, Computer Graphics, and AI-driven Digital Doubles. He holds prestigious fellowships including Fellow of the Royal Academy of Engineering, IET Fellow, and IAPR Fellow. His work spans interdisciplinary areas like Virtual/Augmented Reality, Light Fields, and Audio-Visual Signal Processing. No specific grants, students, or recent publications are detailed in the provided text, but his leadership roles highlight significant contributions to AI and computer vision research.

Sasha Talaveraمشاهده پروفایل

استاد

• Financial Economics
• Banking
• Fintech
• +۸ مورد دیگر

Sasha Talavera is a Professor in Financial Economics at the Department of Economics, Birmingham Business School, University of Birmingham, where he joined in 2019. He previously held professorial and academic positions at Swansea University, University of Sheffield, Durham University, University of East Anglia, and DIW-Berlin. PhD in Economics, European University Viadrina MA in Economics, Boston College MA in Economics, Kyiv School of Economics BA in Economics, Ostroh Academy His research focuses on financial economics, with specific interests in online prices, big data analytics, banking, fintech, corporate finance, behavioral finance, and emerging markets. His work integrates empirical methods with real-world financial and economic data to address policy-relevant questions. The recent publications reflect a strong trend in analyzing financial behavior under crisis (e.g., war in Ukraine), monetary policy communication, and the application of big data and text analysis in economics. His research spans disciplines including econometrics, financial stability, labor economics, and public choice, often using innovative data sources such as online job ads and social media. Sasha Talavera is actively involved in the academic community, serving on the editorial boards of Bank i Kredyt , Visnyk NBU , and as founder of VoxUkraine.org . He is also an expert for the International Monetary Fund (IMF). He supervises several PhD students, including Zixi Guo, Mohammad Aldoub, and Fei Ge, and has successfully placed past advisees in institutions such as the Capital Market Authority of Kuwait, Aston University, and NHS England. He has not received any explicitly mentioned scientific awards in the provided text. He leads a dynamic research agenda involving big data, crisis economics, and financial decision-making, contributing significantly to both academic and policy-oriented discourse.

Concepción Godevمشاهده پروفایل

استاد

• Applied Linguistics
• Translation Studies
• Spanish Language Teaching
• +۴ مورد دیگر

Concepción Godev is a Professor in the Department of Languages, Cultures and Translation at the University of North Carolina at Charlotte. Her academic career spans decades of research and teaching in applied linguistics and translation studies. Ph.D. in Spanish Applied Linguistics (Pennsylvania State University, 1992) Ph.D. in Spanish Applied Linguistics (Universitat de Barcelona, 2006) M.A. in Spanish Literature and Linguistics (Pennsylvania State University, 1988) BA in Spanish Literature and Linguistics (Universidad de Málaga, 1984) Her research focuses on applied linguistics, translation pedagogy, blended learning, and gender inclusivity in Spanish language teaching. She has published extensively on these topics, often integrating technology and cross-cultural analysis into her work. Recent publications highlight her expertise in translation-project management, blended learning effectiveness, and inclusive language practices in educational settings. Her work bridges theoretical linguistics with practical applications in language acquisition. As a faculty member, she contributes to curriculum development and interdisciplinary research, with a particular emphasis on leveraging translation to enhance language learning in digital environments.

Itamar Jalonمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Neuroscience
• Computational Neuroscience
• Natural Language Processing
• +۳ مورد دیگر

Itamar Jalon is a Postdoctoral Research Associate at the Princeton Neuroscience Institute (PNI) at Princeton University for the 2024-25 academic year, affiliated with both the Hasson Lab and Music Cognition Lab. His research leverages deep learning models to study social and higher-order cognitive processes—including meaning-making in naturalistic interactions, emotion, self- and other-perception, and creativity—in ecologically valid settings. Dr. Jalon earned his PhD (pending approval) in psychology from Tel Aviv University, where his doctoral work focused on computational representations of autobiographical emotions. Prior research spans the neuroscience of pain, creativity, neuromodulation, and psychiatric interventions, reflecting an interdisciplinary approach bridging psychology, neuroscience, and artificial intelligence. His current work applies large language models to decode naturalistic human speech and ECoG neural recordings, targeting real-world cognitive phenomena. This positions him at the intersection of machine learning and cognitive neuroscience, with emphasis on affective and social processes in uncontrolled environments. No scientific awards or honors were documented in the provided materials. Information regarding student mentorship, research grants, or advising activities was not specified in the source text. Dr. Jalon actively contributes to two specialized research units at PNI: the Hasson Lab (investigating neural mechanisms of communication) and the Music Cognition Lab (exploring cognitive foundations of musical experience), utilizing these platforms for naturalistic neuroscience methodologies.

• Natural Language Generation
• Vision and Language Models
• Data Pruning
• +۸ مورد دیگر

Albert Gatt is a researcher at the University of Malta , with extensive contributions to Natural Language Generation (NLG) , Vision-and-Language (V&L) models , and evaluation practices in NLP . His work spans multimodal reasoning, data pruning efficiency, and reproducibility challenges in human evaluations. Key collaborations include studies on temporal grounding in image sequences (TempVS benchmark) and automated legal violation detection in cookie banners. Research highlights include bridging linguistic theory with computational models (e.g., VALSE benchmark for multimodal grounding) and improving generation quality through contrastive learning frameworks. Scientific awards are not explicitly mentioned in the provided texts. His work emphasizes rigor in automatic metric validation and cross-modal interpretability , particularly in multimodal model attention mechanisms and logical formula minimization for text generation.

• Machine Learning
• Signal Processing
• Artificial Intelligence
• +۳ مورد دیگر

Andrei Catalin Coman is a Doctoral Assistant and PhD student at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the Institute of Electrical Engineering. He conducts research at the Idiap Research Laboratory, a leading institution in AI and human-centered computing. His research interests lie in the domains of Machine Learning, Signal Processing, Artificial Intelligence, Biometrics, Computer Vision, and Speech Processing , aligned with the technical focus of the Idiap Lab. These fields involve developing intelligent systems for pattern recognition, multimodal interaction, and data analysis. While no publications are listed in the provided text, his work is likely associated with ongoing projects at Idiap, contributing to advancements in AI and intelligent systems. He is actively engaged in academic research and training as part of his doctoral program. Andrei has not been mentioned as receiving any scientific awards or fellowships in the available information. As a doctoral assistant, he may be involved in advising or mentoring undergraduate or master's students, though no specific advisees are listed. His role includes both research and potential teaching responsibilities within the Institute of Electrical Engineering. He is part of the research ecosystem at the Idiap Research Laboratory, a renowned center for AI and signal processing, which fosters interdisciplinary collaboration and innovation in intelligent systems.

Maria Wirzbergerمشاهده پروفایل

استاد

• Cognitive Psychology
• Human-Computer Interaction
• Instructional Design
• +۱۲ مورد دیگر

Maria Wirzberger is a tenure-track professor at the University of Stuttgart, where she leads the Department of Teaching and Learning with Intelligent Systems and serves as spokesperson for the Stuttgart Research Focus "Interchange Forum for Reflecting on Intelligent Systems" (SRF IRIS). She is also co-director of the Artificial Intelligence Software Academy (AISA) and part of the Cyber Valley ecosystem, Europe’s largest AI research consortium. Her interdisciplinary research bridges cognitive psychology, human-computer interaction, instructional design, and artificial intelligence. Research Interests: Modeling and simulation of human cognition using cognitive and connectionist approaches Advanced statistical modeling (multilevel models, time series, structural equation models) Distraction, interruption, and attention control in applied settings Multimodal cognitive load assessment via performance, behavior, and physiology Design of adaptive, assistive, and responsible intelligent systems Individual differences in HCI (age, neurodiversity, technology affinity) Trust, bias, and critical reflection in human-AI interaction Her recent publications focus on cognitive load in learning, system delays in virtual training, interruption modeling using ACT-R, and adaptive feedback mechanisms. The work spans experimental, computational, and applied domains, increasingly extending to digital health, industrial robotics, and single-pilot operations. She applies lab, field, and online studies combined with user-centered software development. Scientific Awards and Grants: Erasmus+ teaching mobility grant (2018) InProTUC travel grant (2016) Research stay grant at University of Groningen "Deutschlandstipendium" scholarship (2013/14) Maria Wirzberger has supervised several theses and has been involved in grant-funded research such as the DFG Research Training Group "CrossWorlds". She actively reviews for top journals and conferences and holds leadership roles in academic service. She has organized symposia and workshops and is a member of numerous professional societies including the Cognitive Science Society, ACM, and APA. Labs and Teams: She leads a research team at the University of Stuttgart focused on teaching and learning with intelligent systems, embedded within the interdisciplinary Cyber Valley network. Her group develops and evaluates user-adaptive technologies using predictive analytics and cognitive science principles.

Conrad Sandersonمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Machine Learning
• AI Ethics
• +۷ مورد دیگر

Dr. Conrad Sanderson is a Researcher and Team Leader at the Data61 division of CSIRO , focusing on artificial intelligence, machine learning, AI ethics, and high-performance numerical computing. He is also an Adjunct Professor at Griffith University . With over 150 publications and 11,000+ citations, he is renowned for developing influential open-source libraries like Armadillo and RcppArmadillo . Research Interests Artificial Intelligence & Deep Learning Responsible AI, Safe AI, and Ethical Trade-offs Numerical Linear Algebra and High-Performance Computing Recent Publications highlight advancements in: Dynamic graph anomaly detection via extreme value theory Fire propagation uncertainty estimation using neural emulators Resolving ethical tensions in AI implementation GPU-accelerated machine learning Scientific Awards Most cited paper award for thesis-based article Armadillo framework: 30+ million downloads Collaborations include researchers from Facebook, NASA, Boeing, and institutions like MIT and Stanford. His work bridges academia and industry through open-source contributions and interdisciplinary applications.

Natalie Pardeمشاهده پروفایل

دانشیار

• Natural Language Processing
• Interactive Systems
• Multimodality
• +۲ مورد دیگر

Natalie Parde is an Associate Professor and Co-Director of Undergraduate Studies in the Department of Computer Science at the University of Illinois Chicago (UIC). She co-directs the UIC Natural Language Processing Laboratory and holds affiliations with the AI.Health4All Center for Health Equity using Machine Learning and Artificial Intelligence as well as the UIC Honors College. Her research focuses on natural language processing with applications in healthcare, multimodal communication, and creative language analysis. Ph.D., Computer Science and Engineering, University of North Texas M.S., Computer Science, University of North Texas B.S., Computer Science, University of North Texas Parde's research spans three primary strands: NLP interfaces for educational technology, health-oriented summarization, and multimodal communication systems. Recent publications highlight advancements in dementia detection through spoken language analysis, empathy prediction in conversational systems, and multimodal emotion classification. Her work frequently addresses healthcare applications of NLP, including mental health assessment and medical self-disclosure detection. Scientific awards include the Dr. Hermann Zemlicka Award for Most Visionary Paper at Gmunden Retreat on NeuroIS 2024. She has advised numerous doctoral students, including Gyeongeun Lee working on empathy detection via figurative language, Shahla Farzana researching dementia detection methods, and Mohammad Arvan investigating reproducibility in NLP evaluations. The UIC NLP Lab under her direction focuses on developing NLP systems that positively impact society through educational technology interfaces and healthcare applications.

Antonela Tommaselمشاهده پروفایل

استاد مدعو

• Social Computing
• Recommender Systems
• Machine Learning
• +۵ مورد دیگر

Dr. Antonela Tommasel is a Researcher at CONICET and an Adjunct Professor at National University of the Center of the Province of Buenos Aires (UNICEN) , working at the intersection of social computing, machine learning, and misinformation mitigation. Her work combines computational techniques to address challenges in social media analysis, bias detection, and recommender system design. PhD in Computer Sciences (2017), UNICEN Bachelor in Software Engineering (2012), UNICEN Her research focuses on recommender systems with applications to social media trustworthiness , including projects like Faking It! (fake news dataset creation) and OHARS (harm-aware recommendation frameworks). Key themes include misinformation spread analysis , gender bias detection , and machine learning applications for social good. She has led 11+ years of teaching in courses like Advanced Java Programming, Recommender Systems, and Natural Language Processing for AI specializations. Her technical certifications include NVIDIA Deep Learning Institute programs on GPU-accelerated data science and Coursera specializations in machine learning and visualization. Currently based at ISISTAN Research Institute in Tandil, Argentina, she advocates for responsible AI through tools like graphoW (graph-of-words library) and Sen4Smells (technical debt prioritization). Her work emphasizes bridging social media analysis with practical implementation frameworks.

Dare Baldwinمشاهده پروفایل

استاد

• Cognitive Development
• Language Acquisition
• Event Processing
• +۳ مورد دیگر

Dare Baldwin is a Full Professor in the Department of Psychology at the University of Oregon , where she directs the Acquiring Minds Lab . Her research focuses on the intersection of language acquisition, cognitive development, event processing , and social-cognitive development . 541-346-4964 (Office) 467 Straub Hall and 210 Chapman Hall (Office Locations) Office Hours: Thursdays 12-1pm on Zoom; Fridays 9-10am in Straub Hall 467 Dr. Baldwin’s work explores how infants and young children acquire knowledge through social interactions , action processing , and language learning . Her lab investigates two major additional domains: the developmental consequences of malnutrition and human behavioral responses to natural hazards such as earthquakes. Current projects examine maternal thiamine supplementation effects on infant cognition and methodologies for online interpersonal understanding studies . Recent publications span: simulating human behavior under earthquake early warnings , infant language processing , micronutrient impacts on neurocognitive development , and event cognition mechanisms . Her lab employs interdisciplinary approaches combining eye-tracking , machine learning , and behavioral experiments . Current Lab Members: Doctoral Students: Netanel Weinstein, Scott Wallner, Elizabeth Loi, Karlena Ochoa Steigerwald, John Rochelle, Anaahat Bala Masters Students: Yasuhiro Tanaka, Leah Child, Jason Garrison, Julian Michels, Emily Neuhaus

• Arabic Natural Language Processing
• Machine Translation
• Dialect Identification
• +۷ مورد دیگر

Ahmed Abdelali is a prominent researcher at Hamad Bin Khalifa University's Qatar Computing Research Institute (QCRI), where he works in the Arabic Language Technologies department. With 97 publications spanning from 2004 to 2024, he has established himself as a leading figure in Arabic natural language processing research. His work has been presented at major conferences including ACL, EMNLP, EACL, and specialized Arabic NLP venues. Dr. Abdelali's research focuses on several key areas within Arabic computational linguistics, with particular emphasis on Arabic language technologies. His work spans Arabic dialect identification, diacritization, machine translation, offensive language detection, and part-of-speech tagging. In recent years, he has been at the forefront of adapting large language models for Arabic language processing, contributing significantly to benchmarking frameworks like LAraBench and LLMeBench that evaluate Arabic language models' performance. His publication record shows consistent high-impact contributions, with notable collaborations with researchers including Hamdy Mubarak (45 co-authored papers), Kareem Darwish (38 co-authored papers), and Nadir Durrani (26 co-authored papers). Recent work has focused on large language models for Arabic, cross-lingual spaces, and benchmarking frameworks to advance Arabic AI capabilities. His research bridges theoretical advances with practical applications, particularly in processing the linguistic complexities of Arabic and its dialects. Through his leadership in developing resources like the Farasa segmenter and contributions to major Arabic NLP conferences, Dr. Abdelali has played a pivotal role in establishing the infrastructure and community for Arabic language technology research.

• Artificial Intelligence
• Machine Learning
• Inverse Reinforcement Learning
• +۵ مورد دیگر

Aaron Snoswell is a Research Fellow at Queensland University of Technology (QUT), affiliated with the Faculty of Creative Industries, Education & Social Justice and the School of Communication. His work bridges technical AI development with social implications, focusing on ethical implementation of AI systems across multiple domains including healthcare, legal systems, and public policy. Snoswell's research interests span artificial intelligence, machine learning (particularly inverse reinforcement learning), AI ethics, automated decision-making systems, and the societal implications of AI technologies. His work demonstrates a consistent focus on making AI systems more transparent, accountable, and beneficial for society, with particular attention to healthcare applications, legal systems, and public understanding of AI technologies. Analysis of his most recent publications reveals a clear trajectory toward responsible AI deployment, with increasing focus on policy frameworks, public education about AI capabilities and limitations, and practical applications that address real-world problems in healthcare and justice systems. His work often combines technical AI development with critical social perspectives, reflecting an interdisciplinary approach that connects computer science with social sciences. Snoswell has been actively involved in policy submissions to governmental bodies including the Australian Senate Select Committee on Adopting Artificial Intelligence and responses to the G7 Guiding Principles for organizations developing advanced AI systems. His work with the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S) demonstrates his commitment to shaping responsible AI governance frameworks. He has established productive collaborations across multiple institutions and disciplines, working with researchers in communication studies, computer science, healthcare, and legal fields. His recent work on the GenAI Arcade project represents an innovative approach to public engagement with AI technologies through interactive learning environments.

Ana Puig Puigمشاهده پروفایل

استاد

• Gamification in Education
• Serious Games
• 3D Point Clouds
• +۹ مورد دیگر

Dr. Anna Puig Puig is a Professor at the University of Barcelona, affiliated with the Faculty of Mathematics and Computer Science within the Department of Mathematics and Computer Science. Her research focuses on gamification in education, 3D point cloud processing, data visualization, and biomedical applications of computer science. Key research areas include: Gamification and serious games for education 3D point cloud segmentation and analysis Machine learning applications in geospatial and biomedical domains Interactive visualization systems Virtual reality for archaeological and educational purposes Notable projects include: INDOMAIN - Pedagogical Module in Intelligent Tutoring Systems HORIZON 2020 European Cancer Image Platform GRAPES - Machine Learning for Shape Processing CLiC Research Group in Language and Computing Digital Reconstruction of Neolithic Social Life