جستجوی استاد راهنمای دانشگاهی

Robert Westمشاهده پروفایل

دانشیار

• Natural Language Processing (NLP)
• Machine Learning
• Computational Social Science
• +۴ مورد دیگر

Robert West is an Associate Professor at EPFL (École polytechnique fédérale de Lausanne) in the School of Computer and Communication Sciences , leading the Data Science Lab (dlab) . His research focuses on Natural Language Processing , Machine Learning , and Computational Social Science , analyzing human-generated data from the web, social media, and online platforms. Education : PhD in Computer Science (2016) - Stanford University MSc in Computer Science (2010) - McGill University BSc in Computer Science (2007) - Technische Universität München Research Interests : West develops algorithms for analyzing large-scale web data, with emphasis on multilingual NLP , social network analysis , and AI ethics . His work bridges machine learning with social science to understand digital human behavior. Scientific Awards : ICWSM’22 Adamic–Glance Distinguished Young Researcher Award Google Faculty Research Award Facebook Research Award Multiple Outstanding Paper Awards at ICWSM and WWW Advising & Grants : He advises 12 PhD students and has secured funding from the Swiss National Science Foundation , Swiss Data Science Center , and industry partners. His lab maintains collaborations with Microsoft Research and CROSS . Labs & Collaborations : West leads the Data Science Lab at EPFL, which focuses on web-scale data analysis , privacy-preserving machine learning , and AI for social good . The lab develops tools like Wikispeedia and Quotebank for public data exploration.

Adriana Tapusمشاهده پروفایل

استاد

• Robotics
• Human-Robot Interaction
• Machine Learning
• +۷ مورد دیگر

Adriana Tapus is a Full Professor at ENSTA Paris, affiliated with Institut Polytechnique de Paris, leading the Autonomous Systems and Robotics Laboratory (SAR) within the Computer Science and Systems Engineering Unit (U2IS). She holds an HDR (Habilitation) and a PhD from EPFL, Switzerland, with postdoctoral experience at USC. Her research focuses on socially assistive robotics, human-robot interaction (HRI), and personalized therapy for individuals with physical/cognitive impairments. She directs the IP Paris Doctoral School and coordinates national/international projects like the EU-funded ENRICHME and SWEET. Education: PhD in Mobile Robotics, EPFL (2005) Habilitation (HDR), ENSTA Paris (2011) M.S. Computer Science, University Joseph Fourier Engineer, Politehnica University of Bucharest Research Interests: Tapus pioneers socially assistive robotics, integrating machine learning, human modeling, and multimodal communication (verbal/non-verbal/para-verbal). Her work addresses adaptive therapies for vulnerable populations using robotics, physiological data interpretation, and context-aware interaction. Key themes include: Human-robot cooperation and trust Emotion recognition and expression Personalized rehabilitation systems AI ethics and human-centered design Publications: Over 150 articles, with recent work exploring humor in HRI, teleoperation trust models, and cross-cultural intelligent vehicles. Notable 2025 contributions include studies on robot laughter efficacy and multimodal facial expression frameworks. Awards: 2025: 4 IROS papers accepted 2016: 25 Women in Robotics recognition 2010: Romanian Academy Award Multiple conference best paper awards (RO-MAN, ICRA, etc.) Advising & Grants: Supervised over 20 PhD students and led projects like EU Horizon 2020 ENRICHME. Current students focus on teleoperation dynamics, robot humor, and haptic interfaces. Active in editorial roles (IJSR, THRI) and conference organization (HRI General Chair 2019). Labs/Teams: Founder of RoboticsByDesign lab and co-initiator of the Hi! Paris interdisciplinary AI center. The SAR lab develops systems for healthcare, education, and human-robot collaboration.

• Strategy
• Management
• Organisational Behaviour
• +۱۰ مورد دیگر

Sam Yam is a Professor and Head of the Management & Organisation Department at the National University of Singapore's (NUS) Business School. He holds the Jardine Cycle & Carriage Professorship and serves as Associate Dean. His research spans strategy, organisational behaviour, applied psychology, ethics, and human-technology interaction. Yam has contributed to over 125 publications, focusing on AI ethics, workplace dynamics, and cross-cultural management. He explores topics like robot replacement effects, abusive supervision, and financial anxiety's intergenerational impacts. His work bridges psychology, ethics, and organisational theory, addressing contemporary challenges in automation, leadership, and human-AI collaboration. Appointments: Head of Management & Organisation (2022–present), Joint Appointment in Arts & Social Sciences (2023–present). Key Research Themes: Future of work, human-technology interaction, ethical leadership, and Machiavellian dynamics. Notable Contributions: Multimodal ADHD diagnostics, leader biases toward robot-using employees, and cultural impacts on team performance. Yam’s interdisciplinary approach integrates psychology, technology, and management, addressing societal issues like AI ethics and workplace automation. His research frequently appears in top journals like the Journal of Management and Annual Review of Organizational Psychology .

• Natural Language Processing
• Machine Learning
• Multimodal Learning
• +۵ مورد دیگر

Ekaterina Shutova is an Associate Professor at the Institute for Logic, Language and Computation (ILLC) within the Faculty of Science at the University of Amsterdam. She concurrently holds a Visiting Associate Professor position in the Computer Science Department at Stanford University. She leads the Amsterdam Natural Language Understanding Lab and heads the NLP & Digital Humanities research unit at ILLC. An ELLIS Scholar, she earned her PhD from the University of Cambridge Computer Laboratory and Pembroke College. Her research has been funded by ERC, Innovate UK, British Academy, Leverhulme Trust, Google, Meta, and Deloitte. Her research spans natural language processing and machine learning, with core interests in: Few-shot learning for NLP Multilingual and cross-lingual systems Joint modeling of language and vision Cognitive processing and semantic representation Figurative language interpretation Computational social science applications Her recent publications (2024-2025) predominantly focus on multimodal learning, cultural alignment in AI, metaphor processing, and evaluation methodologies for language models. These works reflect a trend toward integrating cognitive science with multilingual systems and ethical considerations. Awards & Fellowships: ERC Consolidator Grant (2025) ELLIS Scholar Outstanding Paper Award at ACL 2023 Finalist for Outstanding Certification by TMLR Runner-up Best Paper Award at NAACL-HLT 2016 Research Leadership: She directs the Amsterdam Natural Language Understanding Lab, supervising 8 PhD students, 1 MSc student, and 34 alumni. Her projects include an ERC-funded initiative on globally accessible language technology and an AI Democratization grant for hate speech detection.

Heather Knightمشاهده پروفایل

استادیار

• Social Robotics
• Human-Robot Interaction
• Non-Verbal Machine Communication
• +۳ مورد دیگر

Heather Knight is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Oregon State University, part of the College of Engineering. Her research focuses on social robotics and human-robot interaction, emphasizing non-verbal communication and the design of non-anthropomorphic robots. She directs the CHARISMA Research Lab, which applies principles from performing arts to enhance robot charisma through expressive motion and interaction design. Dr. Knight holds a Ph.D. in Robotics from Carnegie Mellon University (2016), and dual M.S. degrees in Robotics (Carnegie Mellon) and Electrical Engineering & Computer Science (MIT, 2008), alongside a B.S. in Electrical Engineering from MIT (2006). She also leads Marilyn Monrobot, a robot theater company producing comedic performances and an annual Robot Film Festival. Her work bridges technical innovation with societal impact, exploring how robots can better communicate intent through motion and interaction. Notable contributions include the 'Sanitizerbot' project for playful public health support and the development of Laban-based motion frameworks for expressive robotics. Awards include being named to Forbes' 30 Under 30 in Science (2011) and her TED talk on robot comedy. Key Research Themes: Multi-robot formations, expressive motion design, human-robot social dynamics, and ethical integration of AI in robotics. Recent Projects: VR storytelling with social robots, service robots in workplace environments, and motion-based affective communication. Her articles span topics from robot humor generation to industrial light communication systems, reflecting a commitment to both foundational research and applied solutions for human-robot coexistence.

• Artificial Intelligence in Education
• User Modeling
• Learning Analytics
• +۶ مورد دیگر

Judy Kay is a Professor at the University of Sydney, Australia , renowned for her contributions to Artificial Intelligence in Education , User Modeling , and Ubiquitous Computing . Her work focuses on creating scrutable open learner models , enhancing collaborative learning analytics , and applying machine learning to education and health. Current research includes AI-driven misinformation detection and human-AI teaming for education. Recent projects involve virtual reality exergames and long-term physical activity tracking . Key publication trends span AI in education , data-driven learning design , and privacy-aware personalized systems . She actively collaborates with researchers in human-computer interaction and health informatics , emphasizing user control and ethical data use .

• Media Psychology
• Social Robots
• Human-Robot Interaction
• +۳ مورد دیگر

Elly Konijn is a Full Professor at the Faculty of Social Sciences and Humanities and Network Institute of Vrije Universiteit Amsterdam, holding the Fenna Diemer-Lindeboom Endowed Chair. As chair of the Media Psychology Amsterdam program, her work bridges media psychology, social robots, affective processing, and adolescent media use . Research Pillars : Relating to media figures, virtual humans, and social robots Media-based reality perceptions and moral standards Adolescent media effects (cyberbullying, video games, body image) Recent Publications explore emotional bonding with robots, narrative complexity in film, and media's impact on adolescent cognition. Her 2025 Communication Theory article introduces a framework for human-artificial others relationships. Scientific Recognition : KNAW/NWO Eurekaprijs (2015) Computable Award (2021) Network Institute Competitive Research Funding (2025) She supervises 16 PhD students and leads projects like ROBOT-BOND (ERC Advanced Grant 2025-2029) and Communicating with Social Robots (2020-2025). Her documentaries (e.g., Alice Cares ) translate research into public discourse.

• Immunology
• Virology
• Inflammation
• +۵ مورد دیگر

Santiago F. González is a Group Leader at the Institute for Research in Biomedicine (IRB) in Bellinzona, Switzerland, and an extraordinary professor at the University of Italian Switzerland (USI). He earned dual PhDs in microbiology (University of Santiago de Compostela, Spain) and immunology (University of Copenhagen, Denmark), followed by postdoctoral work (2007–2011) at Harvard Medical School's Immune Disease Institute under Michael Carroll. PhD in Microbiology, University of Santiago de Compostela PhD in Immunology, University of Copenhagen His research focuses on immune system dynamics during respiratory viral infections, vaccination, and cancer metastasis. Key areas include influenza recognition , lymph node inflammation , and immune cell behavior in vivo. He pioneered studies on C-type lectin receptors (e.g., SIGN-R1) in viral immunity and epigenetic modulators for inflammation. Recent publications highlight his work in epigenetic drug development , nanovaccines , and computational tools for immune cell tracking. His group uses two-photon intravital microscopy and spatial-temporal modeling to dissect immune responses. Scientific awards include three EU Marie Curie Fellowships (2004–2013), enabling his transition to independent research. His collaborations span Harvard, USI, and European institutions, with grants from the EU and Swiss research bodies. His lab at IRB, established via the 2013 Marie Curie Career Integration Grant , develops novel imaging approaches and therapeutic strategies for infectious and immune-mediated diseases.

Willemijn van Dolenمشاهده پروفایل

استاد

• Consumer Behavior
• Marketing Strategy
• Social Media Analysis
• +۵ مورد دیگر

Prof. Willemijn van Dolen is a Professor in the Section of Marketing at the Faculty of Economics and Business, University of Amsterdam. Her research focuses on consumer behavior, marketing strategies in digital environments, and the psychological impacts of communication in service encounters. She has extensively studied topics such as visual influence in consumer decisions, corporate greenwashing detection, and the role of humor in service interactions. Her academic career includes notable contributions to understanding online consumer behavior through multimodal datasets and AI frameworks. She has published widely on social media analytics, CSR communication, and child helpline effectiveness, bridging psychological insights with practical marketing applications. Prof. van Dolen’s work emphasizes empirical investigations into customer engagement, ethical consumption, and the interplay between digital platforms and human decision-making. Her research demonstrates a consistent focus on real-world applications, from optimizing brand posts on Instagram to analyzing CEO communication during global crises. Her studies often employ interdisciplinary methods, combining marketing theory with data science and behavioral economics. Despite her prolific output (over 50+ publications), no specific scientific awards are highlighted in the provided texts.

Gabriela Minigoمشاهده پروفایل

پژوهشگر

• Immunology
• Microbiology
• Malaria Research
• +۵ مورد دیگر

Gabriela Minigo serves as an Honorary Fellow in Global and Tropical Health and Associate Dean - Learning and Teaching within the Faculty of Health. Her academic profile demonstrates active engagement in malaria immunology research with a recent expansion into circadian rhythm and metabolic health investigations. Dr. Minigo completed her PhD at the University of Melbourne (awarded March 31, 2007) and earned a Master of Clinical Epidemiology from the University of Newcastle (awarded December 8, 2017). Her educational background provides a strong foundation in both basic science and clinical epidemiology. Her primary research focuses on immunological responses to malaria, with particular expertise in T follicular helper cells, dendritic cell function, and regulatory T cells in Plasmodium falciparum and Plasmodium vivax infections. Analysis of her research fingerprint reveals significant contributions to Plasmodium falciparum Immunology and Microbiology (100%), Dendritic Cell Immunology and Microbiology (45%), Regulatory T Cell Immunology and Microbiology (38%), and other related fields. In recent years, she has expanded her research to investigate the relationship between photoperiod, circadian rhythm, and metabolic health, as evidenced by her 2024 publications on these topics. Dr. Minigo's scholarly output shows an evolving research trajectory from fundamental malaria immunology toward interdisciplinary investigations connecting circadian biology with metabolic health. Her recent publications (2022-2024) demonstrate continued strong contributions to malaria immunology while incorporating new dimensions related to light exposure, sleep patterns, and glucose control. She has secured research funding for multiple projects including 'Rainmaker start up- Does exposure to artificial light alter circadian rhythm and glucose control in Australian adults? A pilot study' (2023-2026) where she serves as Co-Investigator, and 'Effect of Extended Photoperiod Exposure on Circadian Rhythm and Glucose Control' (2024-present) where she is Principal Investigator. Previously, she contributed as Chief Investigator C to 'Manipulating T follicular helper cells to improve human malaria vaccines' (2020-2023). As Associate Dean for Learning and Teaching, Dr. Minigo holds significant educational leadership responsibilities within the Faculty of Health. She is registered to supervise postgraduate research, indicating her active role in mentoring graduate students in immunology and tropical medicine research.

Kai-Yu Wangمشاهده پروفایل

استاد

• Marketing
• Consumer Behavior
• Digital Marketing
• +۶ مورد دیگر

Kai-Yu Wang is a Professor of Marketing at the Goodman School of Business, Brock University. His research spans a wide range of topics in marketing, consumer behavior, and digital technologies, with a particular focus on service recovery, augmented reality, social media marketing, and brand management. Research Interests: Consumer behavior in digital environments Service recovery strategies in social media and chatbot contexts Augmented reality applications in marketing and consumer engagement Brand value co-creation and community building Cross-cultural consumer psychology His recent work delves into the nuances of consumer interactions with emerging technologies like chatbots and AR, examining how these tools influence customer relationships and decision-making processes. Contact Information: Email: kwang@brocku.ca Phone: 905 688 5550 x5597

Gavin Schwarzمشاهده پروفایل

استاد

• Organizational Change
• Organizational Failure and Inertia
• Virtual Teams
• +۲ مورد دیگر

Gavin Schwarz is a Professor and Head of School at the School of Management and Governance within the UNSW Business School . He specializes in organizational change , organizational failure and inertia , and the dynamics of virtual teams , with a focus on how organizations fail during change processes and how to develop applied strategies for change management . His work spans diverse sectors including healthcare, technology, and education, with publications in leading journals such as Academy of Management Learning and Education and Administrative Science Quarterly . Education : PhD in Management (University of Queensland), MPhil (Hons) in Management (University of Auckland), BA in Management and English (University of Auckland). Grants : 2020 Brock University grant for "University communication in times of COVID-19" , 2020 UNSW Medicine grant for "Translation and change: Embedding effective change management in health" , and earlier Australian Research Council and Gordon J. Samuels Fellowship awards. His research explores the development of knowledge in organizational theories , with an emphasis on collective responses to change , HR management during crises , and technology strategy . He has contributed to understanding organizational communication , team innovation , and structural inertia . His 15 most recent publications cover topics from AI’s role in organizational change to pandemic-driven research adaptation, with keywords spanning management science , behavioral economics , and digital transformation . Scientific Awards 2021-2023 : Outstanding Reviewer Awards (Academy of Management Review) 2017-2020 : Best Reviewer Awards (Journal of Organizational Behavior) 2019, 2013, 2011 : Best Paper Finalist/Awardee (Academy of Management divisions) 2007, 2006 : Editorial Board Excellence (Academy of Management Journal) and Gordon J. Samuels Fellowship As an active supervisor in organizational change and HR development , his work supports healthcare innovation and digital transformation. He serves as Editor-in-Chief for the Journal of Applied Behavioral Science and is on the editorial boards of Academy of Management Review , Journal of Management , and Journal of Organizational Behavior . Contact: g.schwarz@unsw.edu.au

• Machine Learning
• Reinforcement Learning
• Bandit Algorithms
• +۵ مورد دیگر

Dr. Kevin G. Jamieson is a faculty member at the University of Washington , School of Computer Science , with prior affiliations at the University of California, Berkeley (Department of Electrical Engineering and Computer Sciences) and the University of Wisconsin-Madison (Department of Electrical and Computer Engineering). His work spans machine learning, reinforcement learning, bandit algorithms, and robotics. Current university: University of Washington Academic rank: Professor His research focuses on: Bandit algorithms and sequential decision-making Optimization in non-stationary environments Reinforcement learning with real-world applications Multi-agent systems and game theory Efficient data selection for multimodal learning Human-in-the-loop AI systems Recent publications highlight his expertise in pure exploration strategies, robotic manipulation, and bridging simulation-to-reality gaps in RL. He has mentored numerous collaborators, though formal student advising details are not explicitly listed here. No scientific awards are mentioned in the provided data.

Arnold Japutraمشاهده پروفایل

دانشیار

• Consumer-brand relationships
• Consumer negative behaviours
• Dark-side of brands
• +۷ مورد دیگر

Dr. Arnold Japutra is an Associate Professor of Marketing at Southampton Business School, University of Southampton. His research focuses on brand management, consumer behaviour, relationship marketing, and the adoption of emerging technologies such as AI, AR/VR, and robotics. Recognized among the Top 2% of Global Scientists, he has published in leading journals including the Journal of Business Research, European Journal of Marketing, International Marketing Review, Journal of International Management, Journal of Travel Research and Tourism Management. Dr. Japutra has held academic roles at the University of Western Australia and Universitas Indonesia, and has extensive experience in teaching, corporate training, and consulting for global organizations. His research interests include: Consumer-brand relationships Consumer negative behaviours Dark-side of brands Human-Robot interactions Adoption of new technologies (e.g., AI, AR, VR) Brand management (e.g., brand attachment, brand loyalty, brand equity) Technology adoption and consumer behaviour (e.g., impulsive and compulsive buying) Dr. Japutra's research sits at the intersection of branding, consumer psychology, and emerging technologies. His work examines how consumer–brand relationship factors drive both positive behaviors and negative ones such as impulsive buying, compulsive consumption, and trash-talking. He investigates how psychological traits shape consumer decision-making and has recently been exploring human-technology interactions with a focus on AI, robotics, AR, and VR. His publication pattern shows a clear evolution from traditional brand management topics toward increasingly technology-focused research, particularly examining the psychological impacts of AI and digital interfaces on consumer behavior. Dr. Japutra has received numerous prestigious awards, including: Stanford 2% Global Scientist Citation Rankings (2023, 2024) Business School Mid-Career Research Award, University of Western Australia (2023) Best Researcher Award, Faculty of Economics and Business, Universitas Indonesia (2023, 2022) Best paper at Journal of Hospitality and Tourism Management (2019) Best Researcher Award and Top Publication Award, Tarumanagara University (2016) Dr. Japutra is actively accepting PhD students and has extensive experience mentoring graduate researchers. His research has been supported by various grants though specific funding sources aren't detailed in the provided materials. He has also delivered corporate training and consulting services for numerous global organizations, bridging academic research with practical business applications.

• Computer Vision
• Image Analysis
• Machine Learning
• +۵ مورد دیگر

Serge Belongie is a Professor at the Department of Computer Science (DIKU) at the University of Copenhagen, where he holds dual affiliations with the Pioneer AI research section and the Image Analysis, Computational Modelling, and Geometry section. His academic position places him at the forefront of interdisciplinary research connecting computer vision with language models, geospatial analysis, and cultural understanding. Professor Belongie's research program encompasses several critical domains in modern artificial intelligence: Advanced computer vision and image analysis techniques Vision-language model integration and multimodal systems 3D point cloud processing and semantic segmentation Geospatial representation learning for environmental applications Fine-grained object recognition and detection Cultural context understanding in AI systems His recent publication record reveals a sophisticated trajectory toward developing precise control mechanisms for vision-language models, with applications spanning forensic analysis, cultural heritage preservation, and social media understanding. The research demonstrates increasing sophistication in handling cultural context and enabling fine-grained manipulation of visual content through natural language interfaces. Professor Belongie maintains an active research group producing significant scholarly output, with over 280 research publications documented in his academic profile. His work is supported by research funding that enables cutting-edge exploration in multimodal AI systems with practical societal impact. He plays a key role in the Pioneer AI center at the University of Copenhagen, which focuses on advancing artificial intelligence through interdisciplinary collaboration and innovative research approaches that bridge theoretical computer science with real-world applications.