جست‌وجوی استاد و پژوهشگر

Joachim Kruegerمشاهده پروفایل

استاد

• Social Psychology
• Cognitive Psychology
• Game Theory
• +۵ مورد دیگر

Joachim Krueger is a Professor of Cognitive and Psychological Sciences at Brown University. He holds editorial roles at the Personality and Social Psychology Review and the American Journal of Psychology . His research focuses on social judgment, decision-making, and the intersection of cognitive psychology with behavioral economics and organizational behavior. Key themes include self-perception, intergroup relations, free will belief paradoxes, and the volunteer’s dilemma. Dr. Krueger earned his Ph.D. from the University of Oregon (1988) and completed postdoctoral research at the Max Planck Institute in Berlin before joining Brown in 1991. He teaches courses on psychology in business, happiness philosophy, and behavioral decision sciences. His work critiques positivist methodologies while exploring creativity, leadership, and the replication crisis in psychological research. He is a Fellow of the Association for Psychological Science, Society for Experimental Social Psychology, and Eastern Psychological Association. His writings include books on social judgment, rationality, and happiness, alongside a Psychology Today blog. Krueger collaborates across disciplines, emphasizing pragmatic approaches to understanding human social behavior.

Zhu-Tian Chenمشاهده پروفایل

استادیار

• Data Visualization
• Human-Computer Interaction
• Augmented Reality
• +۷ مورد دیگر

Zhu-Tian Chen is an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities, where he leads research in data visualization, human-computer interaction, and augmented reality. Prior to this, he held postdoctoral positions at Harvard University and UC San Diego, working with leading researchers in visual computing and interactive design. Ph.D. in Computer Science, Hong Kong University of Science and Technology B.Eng. in Software Engineering, South China University of Technology His research focuses on augmenting human intelligence through hybrid human-AI systems, particularly in everyday and outdoor environments. He specializes in designing intelligent AR interfaces, embedded visualizations, and language-oriented interactions for applications in sports analytics, education, and data analysis. His work integrates human-centered design with applied machine learning to create intuitive and effective visualization tools. The recent trend in his publications shows a strong emphasis on intelligent AR systems for dynamic scenes, LLM-based code generation interfaces, and real-time augmentation of sports videos using natural language and gaze-based interactions. His work frequently appears in top-tier venues such as IEEE VIS, ACM CHI, and UIST. Best Paper Award, ACM CHI'23 Best Short Paper Honorable Mention, EuroVis'23 Best Paper Honorable Mention, IEEE VIS'22 (twice) Certificate of Distinction and Excellence in Teaching, Harvard University Hong Kong Ph.D. Fellowship Dr. Chen actively mentors undergraduate, master’s, and PhD students, as well as visiting scholars and interns, and is building a new research lab focused on visualization for intelligent AR systems. He has served on program committees for major conferences including ACM CHI, IEEE VIS, and EuroVis, and has been invited to speak at institutions such as Apple, JP Morgan, and multiple universities worldwide. He also contributes to the academic community through grant reviewing for NSF and the Department of Energy. He leads research projects in intelligent AR systems for sports, language-oriented interactions with LLMs, and immersive data visualization, often in collaboration with institutions like Harvard, UC San Diego, and HKUST. His lab welcomes students and collaborators interested in visualization, HCI, and applied AI.

Olivia Cheungمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Visual Cognition
• Perceptual Expertise
• +۷ مورد دیگر

Olivia Cheung is an Assistant Professor of Psychology and Global Network Assistant Professor at New York University Abu Dhabi (NYUAD), affiliated with the Division of Science and the Department of Psychology. She leads the Objects and Knowledge Laboratory (OAK Lab), which is also associated with the Center for Brain and Health at NYUAD. Education: BSSc, Chinese University of Hong Kong PhD, Vanderbilt University Postdoctoral Training: Harvard Medical School, CIMeC (Trento, Italy), Harvard University Her research focuses on cognitive neuroscience and visual cognition, particularly how experience and learning shape perception. She investigates how visual and conceptual knowledge interact to influence representations of objects, faces, words, musical notations, and scenes. Her lab employs behavioral experiments, functional magnetic resonance imaging (fMRI), and computational modeling to explore perceptual expertise and category selectivity in the brain. Her recent publications (2022–2024) reveal a consistent focus on high-level vision, with studies on holistic face and word processing, neural and computational models of category recognition, ensemble perception of animacy, and social judgments from faces (e.g., election prediction). These works, presented at Vision Sciences Society (VSS), demonstrate interdisciplinary methods and collaborations with students and international researchers. Olivia Cheung teaches courses such as Capstone Projects in Computer Science and Psychology, and Concepts and Categories: How We Structure the World , reflecting her interdisciplinary approach. She mentors undergraduate researchers, many of whom have co-authored conference posters. Her lab, the OAK Lab, fosters research on the intersection of perception, knowledge, and expertise.

Stella Yuمشاهده پروفایل

استاد

• Computer Vision
• Artificial Intelligence
• Robotics
• +۶ مورد دیگر

Stella Yu is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She serves as the Vision Group Director at the International Computer Science Institute (ICSI) and is a Senior Fellow at the Berkeley Institute for Data Science (BIDS). Her research bridges computer vision, human perception, and artistic vision. Ph.D. in Robotics (2003), Carnegie Mellon University Dr. Yu's work spans artificial intelligence, signal processing, and computational neuroscience. Her research focuses on multi-perspective visual perception, integrating robotic vision, medical imaging, and artistic analysis. Recent projects explore hyperbolic data visualization and computational MRI. Her publications reflect contributions to data visualization and medical imaging. She has received prestigious recognition including the NSF CAREER award. She has advised graduate students in EECS, such as Ke Wang (2023) and Pat Virtue (2019). Her affiliations include the Berkeley Deep Drive (BDD) center and the FHL Vive Center for Enhanced Reality, reflecting her interests in applied vision science.

Frederike Petzschnerمشاهده پروفایل

استادیار

• Computational Psychiatry
• Decision Making
• Interoception
• +۷ مورد دیگر

Dr. Frederike Petzschner is an Assistant Professor at the Department of Psychiatry and Human Behavior and the Carney Institute for Brain Science at Brown University. She directs the Carney Brainstorm Program, focusing on translating computational brain science to clinical and commercial applications. Her research explores embodied intelligence, emphasizing the bidirectional brain-body interactions that influence perception, emotion, and well-being. Education: PhD in Systemic Neuroscience from Ludwig-Maximilians University Munich (2013) MS in Physics with Honors from University of Würzburg (2009) BS in Physics from University of Würzburg (2008) Research Interests: Frederike integrates mathematical models, behavioral experiments, and brain imaging to study brain-body-world dynamics in healthy individuals and patients with psychosomatic symptoms, Disordered Gambling, Obsessive-Compulsive Disorder, and Chronic Pain. Her work spans Computational Psychiatry, Interoception, and Neuroimaging. Trends in Publications: Recent articles analyze belief formation in mental health, reward processing, and spatial cognition. These studies employ computational modeling, behavioral neuroscience, and translational approaches to address clinical and cognitive challenges. Scientific Awards: MIT Prize (2024) Pitch Competition Winner for SOMA App (2023) Leadership and Collaborations: She leads the Carney Brainstorm Program and collaborates with institutions like the University of Zurich and ETH Zurich. Her work intersects with digital ecology through membership in Germany’s national council for digital ecology (Rat für digitale Ökologie) and global engagement via the WEF Global Shapers alumni network.

• Machine Learning
• Explainable AI (XAI)
• Deep Learning
• +۸ مورد دیگر

Haoyi Xiong is an active academic researcher in artificial intelligence, machine learning, and data science, with extensive publications in top-tier journals and conferences including IEEE TPAMI, NeurIPS, ICML, KDD, and AAAI. His work spans explainable AI, graph neural networks, diffusion models, remote sensing, and large language models. Research Interests: Explainable AI (XAI) and model interpretability Graph Neural Networks and contrastive learning Diffusion models and generative AI Medical and remote sensing image analysis Large language models and autonomous agents Learning to rank and web search His recent publications (2023–2025) show a strong trend toward self-supervised learning , model robustness , and integration of LLMs with structured data and knowledge graphs . He frequently collaborates with researchers from major tech and academic institutions. Scientific Awards: No explicit awards mentioned in the provided text. Advising and Grants: While no direct mention of students or grants, his role as a senior author on numerous papers suggests he advises graduate students and likely leads funded research projects in machine learning and AI. His work on frameworks like COLTR , GS2P , and MUSCLE indicates leadership in developing scalable AI systems. Labs and Teams: Though not explicitly stated, his frequent collaboration with Jiang Bian, Dejing Dou, and Dawei Yin suggests affiliation with a well-established AI research lab or industry-academia partnership focused on data mining, intelligent systems, and large-scale learning.

Alain Lempereurمشاهده پروفایل

استاد

• Responsible Negotiation
• Mediation and Leadership
• Humanitarian Negotiation
• +۵ مورد دیگر

Alain Lempereur is the EUI Chair in Leadership and Negotiation at the Florence School of Transnational Governance , with a focus on responsible negotiation and mediation frameworks. As a tenured professor at Brandeis University (Alan B. Slifka Chair in Conflict Resolution), he bridges academic theory with field practice across 75+ countries. Harvard Law School affiliate faculty since 1993 Co-founder of Co-Dev capacity-building organization Former director of Brandeis Coexistence Program (2011-2021) Research Pillars : Humanitarian negotiation power dynamics, post-conflict reconciliation in Burundi/DRC, and philosophical foundations of negotiation. His work emphasizes joyful mediation , nonverbal emotional perception , and responsible leadership through 20+ books and 150+ articles. Training Impact : Designed executive programs for EU institutions, UN initiatives, and global corporations (Airbus, Sanofi-Pasteur). Pioneered the LEARN hybrid program for senior humanitarian leaders with the Slifka Chair. Awards & Recognition : Chevalier des Tastevins (2019) UN Mediation Roster member Harvard PON affiliate faculty Who's Who (2009, 2010) Global Engagement : Facilitated Israeli-Palestinian dialogues with the Negotiation Strategies Institute. Developed negotiation methodologies for MSF, ICRC, and UNDP. Holds degrees from Harvard (SJD) and Université Libre de Bruxelles (MPhil, LL.M).

Pascal Vincentمشاهده پروفایل

دانشیار

• Machine Learning
• Representation Learning
• Deep Learning
• +۶ مورد دیگر

Pascal Vincent is an Associate Professor at the Department of Computer Science and Operational Research , University of Montreal, and a key member of the Montreal Institute for Learning Algorithms (MILA) . He holds a PhD in Computer Science from the University of Montreal and has been pivotal in advancing machine learning and artificial perception. Education: PhD in Computer Science (University of Montreal, 2003) His research spans machine learning , deep learning , representation learning , and neural networks , focusing on unsupervised methods and geometrically inspired algorithms. He explores how intelligent systems can autonomously build meaningful representations from raw data, driven by principles like the manifold hypothesis . Key projects include generative stochastic networks , contractive autoencoders , and high-dimensional sequence transduction . His work has resulted in 15+ recent publications in top venues like NIPS, ICML, and CVPR. Scientific Awards : Best student-paper award at ICML 2012 Honorable mention at NIPS 2011 Funded by FCI, FRQNT, CRSNG, CIFAR, and IBM Pascal has supervised 15+ doctoral and Master’s students , including Florian Bordes, Tom Bosc, and Nicolas Boulanger-Lewandowski, across topics like representation learning and generative models . He is also a co-founder of the UNIQUE (Union Neurosciences & Intelligence Artificielle Québec) research consortium.

Amir Shmuelمشاهده پروفایل

استاد

• Neuroimaging
• fMRI
• Visual Perception
• +۵ مورد دیگر

Amir Shmuel is a Professor at McGill University's Faculty of Medicine, holding appointments in the Department of Neurology and Neurosurgery, Department of Biomedical Engineering, and Department of Physiology. He serves as Director of the Brain Imaging Signals Lab and Core Faculty at the McConnell Brain Imaging Centre of the Montreal Neurological Institute. His leadership includes chairing the 2018 International Society for Brain Connectivity conference and securing an $18.7M Canada Foundation for Innovation grant for Quebec's first large-bore 7 Tesla MRI scanner. Dr. Shmuel's research focuses on understanding neuronal mechanisms underlying functional brain imaging signals and visual information processing. His integrative approach combines fMRI, optical imaging, multi-channel neurophysiological recordings, and optogenetics across multiple spatial and temporal scales. Current research priorities include resting-state functional connectivity mechanisms, cortical lamina-resolved neurophysiology, and computational modeling of brain signals. His lab emphasizes parallel model development with experimental data acquisition. Recent publications demonstrate strong trends in multimodal neuroimaging integration, with emphasis on high-resolution fMRI techniques (especially 7T applications), resting-state connectivity analysis across species, and computational modeling of neurovascular coupling. Key subfields include laminar-specific activity mapping, artifact detection in medical imaging using deep learning, and cross-species functional connectivity frameworks. Dr. Shmuel's research is currently funded by the Canadian Institutes of Health Research (CIHR), Natural Sciences and Engineering Research Council of Canada (NSERC), and the US Department of Defense. His lab maintains active collaborations through initiatives like the International Society for Brain Connectivity and the PRIME-DE database consortium. Operating within the Brain Imaging Signals Lab at the Montreal Neurological Institute, Shmuel's team develops and applies advanced multimodal techniques including simultaneous fMRI-electrophysiology, voltage-sensitive dye imaging, and computational modeling frameworks. The lab maintains strong ties with the McConnell Brain Imaging Centre and participates in major open-science initiatives including the Tanenbaum Open Science Institute.

• Robotic Systems
• Intelligent Computing
• Artificial Intelligence
• +۳ مورد دیگر

Nuno Miguel Fonseca Ferreira is a Full Professor at the Instituto Superior de Engenharia de Coimbra (ISEC), part of the Polytechnic of Coimbra, where he currently serves as President of the Scientific Council. His academic career spans over 25 years at ISEC, progressing from Assistant to Professor Coordenador Principal. He has held significant leadership positions including Vice-President of ISEC (2001-2005), Pro-President of the Polytechnic of Coimbra (2009-2010), President of ISEC (2010-2013), and Vice-President of the Polytechnic of Coimbra (2013-2017), where he was responsible for internationalization initiatives. His educational background includes a degree in Electrical Engineering from the University of Porto (1996), a Doctorate in Electrical Engineering from the University of Trás-os-Montes and Alto Douro (2006), and a Habilitation Title (Aggregation) from the same institution (2020). His research focuses on Robotic Systems, with specialization in cooperative robotic systems as evidenced by his Habilitation work. Professor Ferreira's research spans multiple domains of robotics and intelligent systems, with particular emphasis on multi-robot coordination, environmental applications, and medical robotics. His work bridges theoretical control systems with practical applications across diverse fields including forestry, healthcare, manufacturing, and education. He has developed innovative approaches to robotic manipulation, sensor integration, and human-robot interaction, often incorporating advanced techniques from artificial intelligence and machine learning. His recent publications demonstrate a strong trend toward practical applications of robotics in real-world environments, particularly in forestry maintenance, industrial automation, and medical applications. The research shows progression from theoretical control systems to applied robotics in challenging environments, with increasing integration of computer vision, deep learning, and collaborative systems. His work spans both fundamental robotics research and immediate industrial applications, reflecting a balance between academic inquiry and practical implementation. Professor Ferreira has supervised two doctoral theses and participated in numerous research projects with substantial funding. His leadership extends to coordinating 15 of the 33 national and international R&D projects he has participated in, demonstrating significant grant acquisition and management capabilities. His international collaborations through Erasmus+ and other European programs highlight his role in fostering global research partnerships. He is an integrated member of GECAD (Research Group in Engineering and Intelligent Computing for Innovation and Advanced Development), a Portuguese R&D unit classified as Excellent by the Portuguese Science and Technology Foundation. Additionally, he is a member of LASI (Associated Laboratory for Intelligent Systems), the Portuguese laboratory associated with Artificial Intelligence, connecting him to a broader national research ecosystem.

Julien Diogoمشاهده پروفایل

استاد مدعو

• Neuromarketing
• Consumer Behavior
• Applied Cognitive Neuroscience
• +۵ مورد دیگر

Julien Diogo serves as Adjunct Professor at Polytechnic Institute of Viseu's School of Education of Viseu since 2020, teaching Market Analysis, Consumer Behavior, Strategic Communication, and Innovation/Creativity courses. He concurrently holds Visiting Professor positions at ISAG (Higher Institute of Administration and Management) since 2018 for Executive MBA programs and was Professor of Organizational Communication at ISCA-UA (2022-2023). His academic roles extend to Visiting Facilitator positions at Brazil's Personal Branding Academy and ISLA's Postgraduate Program in Innovation. His educational background includes: PhD in Communication Sciences (in progress, 2023-2026) at University of Coimbra Specialization in Teacher and Trainer Training (2022-2023) from Employment and Training Institute of Braga Marketing Specialist title (2019) from Polytechnic Institute of Viseu Master's in Communication and Marketing (2010-2012) from Polytechnic Institute of Viseu (Final Grade: 17/20) Bachelor's in Social Communication (2005-2008) from Polytechnic Institute of Viseu (Grade: 17/20) Diogo's research integrates neuromarketing with consumer behavior analysis, focusing on emotional responses in digital environments, Generation Z consumption patterns, and neuroscience applications in place branding. His work examines how cognitive processes influence purchasing decisions through physiological measurements and behavioral experiments, particularly investigating caffeine's neuropharmacological effects on consumer arousal and shop window design's attentional impact. He bridges theoretical neuroscience with practical marketing strategy development. His publication trajectory reveals increasing focus on digital-emotional consumer interfaces, with recent work analyzing pandemic-era behavior shifts and Gen Z's narrative processing. Key thematic clusters include neuromarketing validation in retail architecture, emotional sustainability in e-marketplaces, and neuroscientific foundations of territorial branding, demonstrating consistent application of cognitive neuroscience to contemporary marketing challenges. Scientific recognition includes: 2008 Academic Merit Award for Best Social Communication Student (Polytechnic Institute of Viseu) 2021 Nomination for Global Teacher Prize Portugal Diogo actively supervises master's research including thesis on territorial brand communication (2024), language informality in digital contexts (2024), and Apple's Lovemarks strategy for Generation Z (2024). He contributes to research projects like INOV C+ Intelligent Innovation Ecosystem (2024-present) and co-orientated neuromarketing studies on advertising reception decoding (2020). His academic service includes peer review for IGI Global and International Journal of Marketing. Through his dual leadership as CCO of ICN Agency (neuromarketing consultancy), co-director of PsicoSoma (publishing/training), and expertMind (LMS platform), Diogo maintains robust industry-academia integration, developing neuromarketing frameworks applied across retail, urban planning, and digital experience design contexts.

Michael Neumannمشاهده پروفایل

استاد

• Economics
• Institutional Economics
• Corporate Ethics
• +۲ مورد دیگر

Prof. Dr. Michael Neumann is a faculty member at the Jade University of Applied Sciences in Wilhelmshaven, Germany, affiliated with the Department of Business. His work focuses on economics, institutional economics, corporate ethics, labor market dynamics, and CSR (Corporate Social Responsibility) in tourism. Research Interests: Economics of corporate ethics and CSR Greenwashing and sustainability reporting Labor market transformations and digitization Higher education economics and student retention Publications highlight his research on CSR in tourism, adverse selection in sustainability reporting, and the economic implications of digitization and teleworking. His recent studies explore the interplay between corporate practices and broader economic frameworks.

• Information Retrieval
• Crowdsourcing
• Human-in-the-loop AI
• +۵ مورد دیگر

Dr. Gianluca Demartini is a leading researcher in Human-in-the-loop AI Systems with significant contributions to Crowdsourcing , Information Retrieval , and Generative AI applications. His work bridges Machine Learning and Human-Computer Interaction , focusing on Bias Management , Fact-Checking , and Ethical AI . Major Affiliations : L3S Research Center, ScienceWISE platform, and collaborations with institutions like University of Queensland and University of Padua Over 15 years, his research has explored Crowdsourcing Quality Control (Mechanical Cheat 2012), Entity Ranking (2008-2013), and Semantic Search . Recent work (2024-2026) focuses on Generative AI Impacts in domains like Media Literacy , Data Curation , and Visual Analytics . Scientific Recognition : Best Paper Award (Top 1.4%) at ICTIR 2023 Best Short Paper Award (Top 0.6%) at ECIR 2020 Honorable Mention (Top 2%) at CSCW 2020 Best Demo Award at ISWC 2011 3rd Best Paper at LA-WEB 2008 His 15 most recent publications (2024-2026) demonstrate expertise in LLM-based Content Moderation , Immersive Data Visualization , and Trustworthy AI Systems . He has pioneered methods for Bias Detection in Wikipedia (2013), Entity Ranking (2008-2013), and Human-AI Collaboration frameworks. His work consistently addresses ethical challenges in AI for Social Good and Responsible Data Science .

Adam A. Packمشاهده پروفایل

استاد

• Marine Mammal Behavioral Ecology
• Bioacoustics
• Cetacean Cognition
• +۵ مورد دیگر

Dr. Adam A. Pack is a Full Professor at the University of Hawaiʻi at Hilo with a joint appointment in the Departments of Psychology and Biology. He chairs the Psychology Department, contributes to the Master of Science Degree Program in Tropical Conservation Biology and Environmental Science, and co-created the LOHE Bioacoustics Laboratory. He has led the Pack Marine Mammal Laboratory since 2008 and served as former chair of the Hawaiian Islands Humpback Whale Sanctuary Advisory Council. Current research focuses on marine mammal behavioral ecology, cognition, and bioacoustics Over 30 years studying dolphin perception, whale social systems, and conservation Collaborations with NOAA, Pacific Whale Foundation, and Wild Dolphin Project Research Trends include: Humpback whale communication, mating systems, and habitat use Dolphin cognitive abilities, echolocation, and social behavior Conservation strategies for marine mammals Acoustic tagging and videogrammetry techniques Scientific Awards : 2017 University of Hawaii Board of Regents Award for Excellence in Teaching 2008 Research Corporation of the University of Hawaii 15-year Service Award 1999 APA Division 6 F.A. Beach Comparative Psychology Award Advising and Grants show mentorship of graduate students in multiple institutions. Notable grants include ONR and NOAA funding for whale endocrine studies and collision mitigation. Labs : Founded the Pack Marine Mammal Laboratory at UH Hilo, contributing to bioacoustics research infrastructure.

• Corporate Finance
• Corporate Social Responsibility
• Happiness Economics
• +۳ مورد دیگر

Leonardo Becchetti is a Full Professor at the University of Rome Tor Vergata's Department of Economics and Finance, teaching Microeconomics and Topics in Applied Economics for the 2025-2026 academic year. Based in room P2 S55, he maintains an active research profile with email contact becchetti@economia.uniroma2.it. His research centers on Corporate Finance, Corporate Social Responsibility, and Happiness Economics, extending to Sustainable Development and Ecological Transition. He investigates how economic structures influence well-being through relational goods, generativity, and sustainability frameworks, employing game-theoretic and empirical methodologies to analyze climate action, AI impacts, and cooperative behavior. Analysis of his 2024-2025 publications reveals intensifying focus on ecological transition mechanisms, including renewable energy communities, circular economy governance, and sustainable investment models. His work increasingly integrates climate economics with behavioral insights, examining conditional cooperation in environmental actions and AI's disruption of labor markets. No scientific awards or student advising information is publicly documented. He participates in departmental research initiatives including DEF Seminars and ROBO Seminars, contributing to the university's research centers on economic and social impact.