جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction
• Digital Games
• Virtual Reality
• +۷ مورد دیگر

Dr. Cody Phillips is a Senior Lecturer in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. He leads an independent research program within the Games Research and Interaction Design (GRID) lab, focusing on how digital games can promote mastery, wellbeing, and resilience. His work bridges human-computer interaction, game design, and psychological principles of motivation and engagement. Position: Senior Lecturer in Computer Science Specializations: Human-Computer Interaction, Digital Games, Virtual Reality, Augmented Reality Institution: Queensland University of Technology (QUT) School: School of Computer Science, Faculty of Science Email: cody.phillips@qut.edu.au Research Lab: Games Research and Interaction Design (GRID) lab Student Supervision: Accepting Honours, Masters, and PhD students Dr. Phillips' research centers on player motivation, particularly the influence of reward systems and individual differences in reward responsiveness. He investigates how challenge-skill balance affects psychophysiological responses such as electrodermal activity and self-reported arousal, aiming to operationalize and measure flow states in gaming environments. His work extends to ethical considerations in gamification and the design of gameful experiences that support positive outcomes. The trend across his publications from 2013 to 2024 shows a consistent focus on the psychological and physiological dimensions of gameplay. Early work established foundational typologies of game rewards, while later studies employed psychophysiological measures to evaluate challenge and engagement. Recent contributions continue to explore self-efficacy and motivational frameworks within game design, demonstrating an evolution toward applied, evidence-based game development for wellbeing. Dr. Phillips is actively engaged in research supervision and welcomes postgraduate students interested in digital games, particularly those exploring applications for social and psychological support, such as in FIFO families. He maintains scholarly profiles on Google Scholar, Scopus, and LinkedIn, indicating active participation in the academic community.

• Artificial Intelligence
• Machine Learning
• Business Analytics
• +۶ مورد دیگر

Yifan Yu is an Assistant Professor at the Department of Information, Risk, and Operations Management, McCombs School of Business, The University of Texas at Austin. He holds a Ph.D. in Information Systems from the University of Washington and bachelor's/master's degrees in Management Science and Engineering from Tsinghua University. Research Focus: Economics of AI/ML, unstructured data analytics (text/images/video), and data-driven sustainable operations. Methodologies: Machine/deep learning, network analysis, econometric/game-theoretical modeling, and experiments. Publications: Appeared in top journals like Management Science , MIS Quarterly , and Information Systems Research . Awards: Best paper recognitions at INFORMS, CIST, WITS, and teaching awards from University of Washington.

• Human-Robot Interaction
• Artificial Intelligence
• Social Robotics
• +۶ مورد دیگر

Prof. dr. M.A. Neerincx is a Professor at Delft University of Technology in the Faculty of Electrical Engineering, Mathematics and Computer Science, where he leads research in the Interactive Intelligence department. His work spans multiple interdisciplinary domains focusing on human-AI interaction, social robotics, and health informatics. His research focuses on: Human-Robot Interaction and Social Robotics Explainable AI and Inclusive Design Persuasive Technology and Behavior Change Health Informatics and Digital Health Interventions Human-AI Teaming and Collaborative Systems Cognitive Modeling and Memory Systems Neerincx's recent publications demonstrate a strong focus on ethical AI, human values in technology design, and practical applications in healthcare and emergency services. His work on human-agent teamwork, particularly around moral decision allocation and meaningful human control, has gained significant attention. In health applications, he explores digital interventions for smoking cessation, hypertension management, and cardiac health through conversational agents and social robots. His research combines technical innovation with deep consideration of psychological, social, and ethical dimensions. Through his editorial work for Interacting with Computers since 2011 and Mediamatica TU Delft since 2010, he has shaped scholarly discourse in human-computer interaction. His supervision of students like Albers, N. and Verhagen, R.S. has produced impactful research on human feedback in chatbot interventions and robot pedagogical interactions with children. His datasets reveal ongoing work in virtual coaching systems and robot-child interactions.

Alan Serrano-Ricoمشاهده پروفایل

استاد

• Information Systems
• Organizational Strategy
• Business Process Simulation
• +۵ مورد دیگر

Dr Alan Serrano-Rico is a Professor in the Department of Computer Science at Brunel University London. He serves as Department Industry Lead, Chair of the Industry Advisory Board, and Director of the Brunel Talent Marketplace – an initiative connecting academia with industry. Prior to joining Brunel, he worked in industry and public sectors in Mexico. PhD in Information Systems, Brunel University London MSc in Data Communication Systems, Brunel University London His research focuses on Information Systems and Organizational Strategy , particularly how businesses adopt ICT in complex environments. Current interests include social network phenomena , business process simulation , and knowledge dissemination to industry. He has collaborated with BMW , AXA Insurance , NHS , and Standard Chartered . Recent publications show expertise in geospatial simulation , malware threat avoidance , and data quality metrics . Over 26 publications appear in journals like European Journal of Information Systems and International Journal of Information Management . Scientific contributions : SAP Certified Associate Teaching includes Data and Information module , Business Analysis and Process Modelling , and Computer Science Final Year Project . He previously taught Java Programming and Telecommunications .

Edith Luhangaمشاهده پروفایل

استادیار

• Health Informatics
• Digital Financial Inclusion
• Cybersecurity
• +۳ مورد دیگر

Edith Luhanga is an Assistant Professor at Carnegie Mellon University Africa . She previously served as a lecturer at the Nelson Mandela African Institution of Science and Technology (NM-AIST) in Tanzania. Her research focuses on designing theory-based behavior change systems that integrate human-centered approaches, with applications in health informatics (nutrition, maternal and child health, disabilities management), digital financial inclusion , and privacy/security . Education : Ph.D. in Information Science, Nara Institute of Science and Technology, Japan MSc in Advanced Computing Science BEng (Hons) in Electronic and Computer Engineering, University of Nottingham, UK Her recent publications highlight interdisciplinary work in mobile security , health informatics , and environmental monitoring , particularly using machine learning and deep learning for flood prediction in Tanzania's Kikuletwa River. She has also explored biometric technology adoption and mobile money practices in East Africa. Scientific Awards : OWSD Early Career Fellowship (2023) Next Einstein Forum Award (2022) Luhanga served as deputy project leader for a 10-year capacity-building project via digital technologies at NM-AIST and represented Tanzania in UNESCO's intergovernmental committee on AI ethics. She is affiliated with the Persuasive Technologies Lab and FINIA research group.

Aravinda Garimellaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Digital Ethics
• Algorithmic Decision Making
• +۶ مورد دیگر

Aravinda (Ari) Garimella is an Assistant Professor of Business Administration at the University of Illinois Urbana-Champaign’s Gies College of Business, with a secondary role as Ethics and Professional Responsibility Scholar. She holds a B.Sc. in Computer Science from Birla Institute of Technology, India, and a Ph.D. in Information Systems from the University of Washington. Prior to academia, she worked as a technology and management consultant in telecom, healthcare, and public sectors across Asia and Europe, leading digital transformation projects. Her research focuses on the intersection of technology and societal access, particularly in Responsible Artificial Intelligence (AI), algorithmic influence in decentralized markets, and equitable digital platform design. Key themes include AI ethics, algorithmic decision-making impacts, and inclusive technology adoption. She advocates for integrating ethical frameworks into algorithm design and deployment. Teaching interests align with her research, emphasizing technology’s role in organizational and societal behavior. Her work bridges technical systems with human-centric outcomes, addressing challenges like rural e-commerce barriers and stigma reduction via AI chatbots. Professional service includes contributions to academic conferences (e.g., TREO Lightning Presentations) and pedagogical innovations in doctoral education. Current affiliations include 415 Wohlers Hall, Champaign, IL, with research extending to blockchain applications in insurance and crisis response through crowdfunding.

Yiling Chenمشاهده پروفایل

استاد

• Artificial Intelligence
• Algorithmic Game Theory
• Multi-Agent Systems
• +۷ مورد دیگر

Yiling Chen is the Gordon McKay Professor of Computer Science at Harvard University's John A. Paulson School of Engineering and Applied Sciences. Her research focuses on the intersection of artificial intelligence and social sciences, emphasizing robustness and integrity of AI systems in strategic environments. She is affiliated with the EconCS research group and the Center for Research on Computation and Society (CRCS). Key research areas include information elicitation, incentive-aware machine learning, algorithmic fairness, and algorithmic game theory. Notable contributions include work on prediction markets, privacy mechanisms, and behavioral experiments. She has taught courses such as AM 121: Introduction to Optimization, CS 128: Convex Optimization, and advanced topics courses on blockchain, societal impacts of AI, and data valuation. She has organized workshops on social computing, prediction markets, and human computation. Her work has received awards, including the Best Technical + Interdisciplinary Paper Award (2019) and the Best Paper Award at CSCW (2019). She advises graduate students in computer science with a focus on interdisciplinary work between CS and economics.

Alastair Mooreمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Entrepreneurship
• +۷ مورد دیگر

Alastair Moore is a Lecturer (Education) at the School of Management, University College London (UCL). He holds a PhD in Computer Science from UCL and has 10 years of experience in AI/ML, UX design, marketplaces, mobile tech, and early-stage innovation. He co-founded UCL spin-outs Satalia.com and Wearepopup.com, and played a key role in establishing the IDEALondon innovation centre with Cisco and DC Thomson. His current projects focus on 5G-enabled business models, Big Data support for SMEs, and smart city platforms using Semantic Web technology. Research interests span AI/ML applications in entrepreneurship ecosystems, innovation management, and emerging technologies like blockchain and smart contracts. He mentors at startup accelerators including Wayra Academy and Techstars London, and chairs the British Computer Society’s Special Group for Entrepreneurship. Professional activities include designing innovation support programs and commercialization frameworks for tech startups. Education: PhD in Computer Science (UCL) Affiliations: IDEALondon, UCL Centre for Entrepreneurship Key Projects: IDEALondon post-accelerator program, 5G SME innovation grants, smart cities semantic platforms His work bridges academic research with practical tech commercialization, focusing on how emerging technologies transform business models and regulatory frameworks. Current projects emphasize 5G applications, blockchain-based legal contracts, and sustainable tech ecosystems.

JungHwan Yangمشاهده پروفایل

استادیار

• Computational Social Science
• Political Communication
• Data Science
• +۳ مورد دیگر

JungHwan Yang is an Assistant Professor in the Department of Communication at the University of Illinois Urbana-Champaign, affiliated with the College of Liberal Arts & Sciences. His research focuses on computational social science, political communication, and data science, with an emphasis on analyzing digital trace data to understand political behavior, online discourse, and media effects. Yang holds a Ph.D. in Journalism and Mass Communication from the University of Wisconsin-Madison, an M.A. in Communication from Seoul National University, and a B.E. in Mechanical Engineering from Seoul National University. His interdisciplinary background merges technical data analysis with communication theory. His research interests include online hate speech regulation, racial stereotyping in social media communities, detection of survey fraud through digital traces, and cross-platform user behavior during elections. He also explores social media's role in autocratic regimes, political astroturfing, and public perception of echo chambers. Yang has contributed to over 30 peer-reviewed articles, with recent work published in PNAS Nexus , Communication Monographs , and Journal of Information Science . His methodological innovations in computational communication science aim to bridge gaps between theoretical frameworks and real-world digital data. No scientific awards are explicitly listed, though his work has been recognized through multiple peer-reviewed publications and academic collaborations. Advising and grants information is not detailed in the provided text. Yang is actively involved with the Department of Communication at UIUC, contributing to its research initiatives in digital media and political communication. His work intersects with interdisciplinary teams studying computational methods and their societal implications.

Haifeng Huangمشاهده پروفایل

استاد

• Comparative Politics
• Political Methodology
• Information Politics
• +۵ مورد دیگر

Haifeng Huang is a Professor of Political Science at The Ohio State University's College of Arts and Sciences, Department of Political Science. His research focuses on comparative politics and political methodology, with specialization in information flow, public opinion dynamics, propaganda, misinformation, and political trust, particularly in the context of China. He holds a Ph.D. from Duke University and previously taught at the University of California, Merced. Professor Huang's research examines: Propaganda mechanisms in authoritarian regimes Misinformation dynamics and countermeasures Political trust formation in China Media freedom and electoral competition Social transition and economic reform impacts His publications demonstrate consistent focus on authoritarian information control systems, public opinion formation, and methodological innovations in political research. Recent work explores online misinformation interventions and political trust measurement. Awards include: Campbell National Fellowship Susan Louise Dyer Peace Fellowship at Hoover Institution Professor Huang teaches courses on information politics, authoritarian politics, game theory, and Chinese politics.

Ian Bogostمشاهده پروفایل

استاد

• Media Studies
• Video Game Design
• Philosophy of Technology
• +۳ مورد دیگر

Ian Bogost is a Professor of Computer Science & Engineering and Director of Film & Media Studies at Washington University in St. Louis, with a secondary appointment in the McKelvey School of Engineering. He holds the Barbara and David Thomas Distinguished Professorship and previously served as the Ivan Allen College Distinguished Chair in Media Studies at Georgia Tech. His expertise spans media studies, game design, and philosophy, blending critical analysis with practical creation. Bogost’s interdisciplinary work bridges technical systems and humanistic inquiry, addressing topics like video games, digital media, and societal issues through both scholarship and game development. Education: PhD in Comparative Literature (UCLA, 2004), MA in Comparative Literature (UCLA, 2001), BA in Philosophy & Comparative Literature (USC, 1998). His research emphasizes media’s dual role as critique and practice, exemplified by games exploring airport security, consumer debt, and the petroleum industry. These works have been exhibited globally, including at the Smithsonian and SF MoMA. He is a contributing editor at The Atlantic , co-editor of the Platform Studies and Object Lessons series, and founder of Persuasive Games LLC. Awards include fellowships and recognitions for his contributions to media studies and game design. Bogost’s academic roles include affiliations with multiple research centers and adjunct positions, reflecting his commitment to interdisciplinary collaboration and public-facing scholarship.

Elena Vlahu-Gjorgievskaمشاهده پروفایل

مدرس ارشد

• Digital Health
• Persuasive Technology
• Health Informatics
• +۲ مورد دیگر

Dr. Elena Vlahu-Gjorgievska is a Senior Lecturer in the School of Computing and Information Technology at the University of Wollongong, specializing in digital health and persuasive technologies. Her research develops mHealth applications for chronic disease management, behavior change, and healthcare data systems. Current projects include digital interventions for obesity management and family-based geriatric health apps. She leads research on persuasive system design features influencing health behaviors, with publications in health informatics and applied computing. Research domains: Persuasive system design for health behavior change mHealth application development Healthcare data interoperability Privacy-preserving health technologies

Jean Decetyمشاهده پروفایل

استاد

• Social Neuroscience
• Developmental Psychology
• Neuroimaging
• +۴ مورد دیگر

Dr. Jean Decety holds the prestigious John D. MacArthur Distinguished Service Professor title at University of Chicago , serving in the Department of Psychology . His work centers on social neuroscience, particularly morality, empathy, and psychopathy. He directs the Social Cognitive Neuroscience Laboratory , focusing on neural mechanisms underlying social behavior. Education & Background: Earned a PhD in Neuroscience-Medicine from University Claude Bernard (France), followed by postdoctoral training at Lund University Hospital and Karolinska Institute (Sweden). Specializes in neuroimaging techniques (fMRI, EEG) applied to social cognition research. Research Interests: Explores moral judgment development, psychopathic traits in incarcerated populations, empathy deficits, and neural correlates of social decision-making. Recent work examines how moral convictions influence radicalization, violence, and clinical outcomes in healthcare practitioners. Awards: John D. MacArthur Distinguished Service Professorship highlights his impactful contributions to social neuroscience. Authored influential books like *The Moral Brain* and *The Social Brain: A Developmental Perspective*. Grants & Labs: Leads multi-million dollar projects investigating neurobiological bases of morality. Maintains state-of-the-art labs (Kelly Hall 310-315) for structural/functional neuroimaging studies. Collaborates internationally on cross-cultural moral development studies. Future Directions: Current projects focus on: 1) Early interventions for psychopathic traits in at-risk youth 2) Neuroethical implications of empathy research in healthcare 3) Computational modeling of radicalization processes.

Geoff Kaufmanمشاهده پروفایل

دانشیار

• Games and Play
• Cognitive Science
• Behavioral Science
• +۶ مورد دیگر

Geoff Kaufman is the Robert E. Kraut Associate Professor of Human-Computer Interaction and Ph.D. Program Director at Carnegie Mellon University's School of Computer Science, Human-Computer Interaction Institute. His research spans games for social impact, cognitive science, and responsible computing, focusing on how fictional narratives and interactive technologies influence real-world behaviors and attitudes. Email: gfk@cs.cmu.edu Office: Rand Building, Suite 101 Kaufman's work investigates experience-taking – the psychological process of adopting a character's perspective during fiction consumption – and its effects on empathy, prejudice reduction, and prosocial behavior. He also explores embedded design techniques in games to subtly deliver persuasive content while maintaining player engagement, with applications in reducing social biases and promoting environmental sustainability. Current projects include game-based interventions like Bloomwood Stories: Block Party for health self-efficacy and Games and Climate initiatives examining collective action through play. His research integrates methods from social psychology, communication, and media studies.

Wynne Hsuمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Healthcare AI
• +۵ مورد دیگر

Wynne Hsu serves as Provost's Chair Professor in the Department of Computer Science at NUS School of Computing and Director of the Institute of Data Science (IDS), driving Singapore's AI research agenda through strategic academic leadership and healthcare innovation. Her academic foundation includes: B.Sc. in Computer Science, National University of Singapore M.Sc. in Computer Science, Purdue University, U.S.A. Ph.D. in Electrical & Computer Engineering, Purdue University, U.S.A. (1994) Professor Hsu's research integrates Artificial Intelligence and Machine Learning with critical healthcare applications, specializing in Retinal Image Analysis for diabetic complications, Social Media Analytics for misinformation containment, and Spatio-temporal Data Mining for dynamic system modeling. Her patient similarity analytics framework has enabled risk communication tools deployed in Singapore's national diabetes program, demonstrating translational impact from algorithmic innovation to clinical practice. Recent work emphasizes multimodal AI systems that bridge ophthalmology with systemic disease prediction. Analysis of her 2025 publications reveals three converging trajectories: (1) Healthcare AI extending from retinal diagnostics to kidney disease and dementia prediction using deep learning, (2) Temporal reasoning frameworks for claim verification addressing misinformation through timeline analysis, and (3) Privacy-preserving multimodal LLMs tackling inadvertent data memorization. These strands reflect her consistent focus on robust, clinically actionable AI systems. Her exceptional contributions are recognized by: President’s Technology Award, Singapore (2014) for national AI healthcare impact SIGKDD Test-of-Time Award (2014) for foundational social network influence research As IDS Director, Professor Hsu secures strategic grants for national AI screening programs while mentoring cross-disciplinary teams that combine computer vision expertise with clinical partnerships. Her leadership has established NUS as a hub for healthcare AI validation, particularly in multi-ethnic populations through collaborations with Singapore's National Healthcare Group. The Institute of Data Science under her direction operates as Singapore's central AI innovation engine, with current initiatives focused on multimodal disease progression modeling and temporal fact verification systems. Key projects integrate retinal vessel analysis with cardiovascular risk prediction and develop LLM-based tools for physician-patient communication in chronic disease management, maintaining strong alignment with national healthcare priorities.