جستجوی استاد راهنمای دانشگاهی

Brian Y. Lim is an Associate Professor in the Department of Computer Science at the National University of Singapore (NUS), leading the NUS Ubicomp Lab. His research integrates Explainable AI (XAI) , Human-Computer Interaction (HCI) , and Ubiquitous Computing to address societal challenges in healthcare , wellness , and urban sustainability . He holds a Ph.D. and M.S. in Human-Computer Interaction from Carnegie Mellon University and a B.S. in Engineering Physics from Cornell University. Education: B.S., Engineering Physics, Cornell University M.S., Human-Computer Interaction, Carnegie Mellon University Ph.D., Human-Computer Interaction, Carnegie Mellon University His research focuses on designing human-centric AI systems that prioritize transparency and user trust. Key areas include explainable AI algorithms , context-aware computing , data visualization , and trustworthy machine learning . Projects like RexNet and Directed Diversity demonstrate his work in creating relatable AI explanations and enhancing crowd creativity through algorithmic prompting. Recent publications (2022–2025) highlight advancements in faithful visual explanations , user-centric XAI frameworks , and healthcare analytics . Notable awards include the CHI'22 Best Paper Award , IMWUT Distinguished Paper Award , and MOE Outstanding Mentor Award . He has advised numerous PhD and Masters students and leads the NUS Ubicomp Lab, which explores applications like TasteHealthy (food recommendation app) and Food Loves Fellowship (narrative data visualization).

• Human-Computer Interaction
• Ubiquitous Computing
• Explainable Artificial Intelligence
• +۴ مورد دیگر

Prof Lee Kwan Min is a Professor and the inaugural Korea Foundation Professor in Contemporary Korean Society and New Media at Nanyang Technological University’s Wee Kim Wee School of Communication and Information (WKWSCI), where he directs the UX Lab. He holds a Ph.D. from Stanford University and has held leadership roles, including founding director of Interaction Science Research Center at Sungkyunkwan University and Vice President at Samsung Electronics, overseeing UX strategy and innovation. His research focuses on user experience (UX), human-machine interaction (HCI/HRI/HAI), digital culture, and Korean society’s technological evolution. He has secured over $12M in research grants and holds patents in display interfaces and gesture control. Notable awards include ICA Fellowship and USC Mellon Teaching Award. Education: Ph.D. (Stanford University), M.A./B.A. (implied from career timeline). Previous affiliations include Sungkyunkwan University (SKKU) and the University of Southern California (USC), where he was tenured at 40. His work bridges academia and industry, advising startups in fintech, smart mobility, and UX design. Research Interests: UX design and evaluation Social/psychological impacts of ICT Human-robot/vehicle interaction Smart cities and disruptive technologies Korean digital society studies Recent work trends emphasize conversational interfaces in vehicles, metaverse analysis, and Fintech agents. His articles explore topics like autonomous vehicle trust, cross-cultural gaming psychology, and VR advertising. Awards include ICA Fellow status and multiple top-paper recognitions. Grants and Patents: Over $12M funding from NSF, Samsung, and Korean/US governments. Patents span smart displays, gesture control, and multimedia systems. Advises global firms on UX strategies and innovation. Labs/Teams: Director of UX Lab at NTU, leading interdisciplinary research. Collaborates with MIT Cognet and editorial boards of top journals like Journal of Communication and Human Communication Research .

• Human-Computer Interaction
• User Experience (UX)
• Digital Culture
• +۵ مورد دیگر

Dr. Bimlesh Wadhwa is an Associate Professor in the Department of Computer Science at the National University of Singapore (NUS) and serves as Assistant Dean for Student Life at Tembusu College. She holds dual affiliations as a Residential Fellow at Tembusu College and an active member of the School of Computing's academic community. Her work bridges software engineering, human-computer interaction (HCI), and computing education. Dr. Wadhwa's research focuses on gender issues in HCI, software design quality, and digital well-being. She has pioneered initiatives like the Code for Community program to bring computing education to underserved groups. Her pedagogical contributions include developing courses on object-oriented design, software engineering principles, and interaction design. She actively engages with professional communities through roles such as Faculty Representative at the Singapore Computer Society Student Chapter and advisor to the Computing Club at NUS. Her recent work addresses pressing societal challenges like technology-facilitated sexual violence and integrates AI into educational contexts. She has organized major competitions including CodeXtreme and the Singapore Science and Engineering Fair, fostering innovation among students. Her interdisciplinary collaborations span healthcare applications, smart city technologies, and educational equity initiatives. Dr. Wadhwa’s scholarly contributions include over 80 publications in top venues such as FSE, CHI, and IEEE conferences. She has co-edited book chapters for Springer and Wiley on HCI and informatics, reflecting her commitment to advancing both technical and societal dimensions of computing. In addition to her academic roles, she leads MakerLab initiatives and contributes to national educational policies on computational thinking. Her work emphasizes bridging academia-industry gaps through projects like the GEAR mobile game-assisted rehabilitation system and cloud service brokerage frameworks.

• Software Engineering
• Human-Computer Interaction (HCI)
• Computing Education
• +۴ مورد دیگر

Suranga Chandima Nanayakkara is an Associate Professor in the Department of Computer Science at the National University of Singapore (NUS), leading the Centre for Holistic Inquiry into Lifelong Learning (CHILL) and the Smart Systems Institute (SSI). He holds roles such as AI+HCI Theme Lead at NUS+CNRS IPAL Lab and Residential Fellow at NUS College. His research focuses on assistive human-computer interfaces, emphasizing technologies that enhance perceptual and cognitive capabilities for individuals with sensory deficits. He earned his PhD and BEng from NUS, followed by postdoctoral work at MIT Media Lab. Notable projects include the Augmented Human Lab, iTILES for rehabilitation, and the FingerReader device for visually impaired shoppers. His work has garnered awards like the MIT TR35, TOYP, and INK Fellowship. Research interests include Intelligent Systems, Human Augmentation, and Design Science. He explores applications in assistive technologies, healthcare informatics, and educational tools. Over 15 publications highlight innovations in wearables, stress management, and multimodal interaction. Awards: 40+ accolades, including MIT TR35, TOYP, and multiple design awards for projects like Kiwrious and FingerReader. Grants: Led projects funded by institutions like NUS and Singapore’s innovation initiatives. Labs: Augmented Human Lab (founded 2011), focusing on humanizing technology through natural interfaces.

• Intelligent Systems
• Human Augmentation
• Human-Computer Interaction
• +۳ مورد دیگر

Rajesh Krishna BALAN is a Full-Time Professor at the School of Computing and Information Systems (SCIS) at Singapore Management University (SMU) . His research focuses on Human-Machine Collaborative Systems , Pervasive Sensing , and Health & Wellbeing technologies. Based in Singapore, he leverages mobile computing to address urban sustainability and quality-of-life challenges. PhD from Carnegie Mellon University (2006) Specializes in WiFi sensing , VR/AR , and health monitoring Advises PhD students in areas like urban mobility , empathetic design , and cyber-physical systems Beyond academia, BALAN's work bridges ubiquitous computing and public health , with applications in ageing populations , mental health analytics , and smart city optimization . His recent publications highlight cross-disciplinary approaches to sleep analysis , group behavior modeling , and contactless physiological sensing . BALAN actively contributes to educational technology through projects like Technology-Enhanced Learning frameworks. He is also a mentor in collaborative research areas including biomedical informatics and lifestyle monitoring , with a focus on mobile GPU optimization and low-power systems .

• Human-Machine Collaborative Systems
• Pervasive Sensing & Systems
• Learning & Work
• +۹ مورد دیگر

Jingxian Wang is an NUS Presidential Young Professor and Assistant Professor in the Department of Computer Science at the National University of Singapore's Faculty of Computing. His research builds next-generation wireless systems and satellite networks, with primary focus on integrating AI with wirelessly networked devices from WiFi to satellites. He earned his PhD from Carnegie Mellon University and previously served as a research scientist at Microsoft Research in Redmond, where he led the Smart Surface for 6G and Space initiative. His educational journey includes: PhD, Carnegie Mellon University Wang's research spans Wireless Systems , Satellite Networks , Artificial Intelligence , and Internet of Things , emphasizing AI-augmented wireless systems. His interdisciplinary work bridges robotics , materials science , and AI to develop sustainable sensing methods, robust communication networks, and multimodal AI techniques. Key projects include Multimodal AI for IoT (funded by Microsoft's Accelerate Foundation Models Program) and Satellite IoT Networks. His publication trends reveal accelerating integration of AI into wireless systems, with recent focus on satellite networking, soft robotics actuation, and generative models for IoT. The research consistently targets real-world deployment challenges in battery-free systems and space networks. His scientific contributions have earned prestigious recognition: ACM SIGMOBILE Doctoral Dissertation Award 2023 Communications of the ACM Research Highlights (2021, 2022) ACM SIGMOBILE Research Highlights 2021 Best Paper Awards at IPSN 2021 and UbiComp 2020 Microsoft Research Fellowship 2020 Emerging Rockstar in IEEE Pervasive Computing 2024 Wang actively mentors doctoral students and postdoctoral researchers through his AIoT Group. His grant portfolio includes Microsoft's Accelerate Foundation Models Research Program funding for multimodal AI projects, with ongoing work targeting satellite IoT infrastructure and wireless-powered soft robotics. Future directions emphasize foundation models for space networks and battery-free IoT systems. He leads the AIoT Group, fostering cross-disciplinary collaboration between computer scientists, roboticists, and materials engineers to pioneer wireless sensing and actuation technologies.

• Artificial Intelligence
• Wireless Systems
• Satellite Networks
• +۹ مورد دیگر

Tony Tang is an Associate Professor in the School of Computing and Information Systems at Singapore Management University (SMU), where he leads the RICELab (Rethinking Interaction, Collaboration, and Engagement). Previously, he held roles at the University of Toronto and University of Calgary. His research focuses on Human-Computer Interaction (HCI), including Human-AI interaction, mixed reality interfaces, and ubiquitous computing. Education : PhD in Electrical and Computer Engineering, University of British Columbia (2010) MSc in Computer Science, University of Calgary (2005) BSc in Computer Science and Psychology, Simon Fraser University (2002) Research Interests : Tang’s work bridges theoretical and applied HCI, emphasizing systems that enhance human collaboration and interaction with technology. His lab explores topics like AI feedback mechanisms, mixed reality environments, and interfaces for distributed teams. Awards & Grants : ACM CHI Academy Member (2014) Funded by NAVER ($1.25M over 5 years), Meta ($30K), and SMU-SUTD Tier 1 Grant (S$100K) Advising & Grants : Supervised 26 graduate students and multiple postdoctoral fellows. His grants include work on immersive analytics and teleconferencing tools for physiotherapy. Labs & Teams : Directs the RICELab, which designs novel interaction systems for collaboration and learning. Active in the HCI community, serving as General Co-chair for CSCW 2022.

• Human-Computer Interaction (HCI)
• Computer Supported Cooperative Work (CSCW)
• Ubiquitous Computing
• +۳ مورد دیگر

Tamas MAKANY is a Full-time Faculty member at Singapore Management University (SMU), currently serving as Associate Provost (Teaching and Learning Innovation) and Director of the Centre for Teaching Excellence. He holds the academic rank of Associate Professor of Communication Management (Education) within the Lee Kong Chian School of Business. His research focuses on Human-AI Communication, Digital Business Innovation, and Technology-Enhanced Learning. He earned a Ph.D. in Cognitive Psychology from the University of Southampton (2009), after completing an M.Sc. in Research Methods (2005) and M.A. in Psychology (2004) from the same university and University of Pécs, Hungary. Prof. MAKANY’s professional experience spans academia and industry, including senior roles at Netflix, Microsoft, and LeapFrog. He has received notable awards such as the SMU-X Academic Champion & Mentor (2024) and Most Promising Teacher Award (2023). His work emphasizes bridging educational innovation with technological advancements, particularly in AI-driven learning and design education. His research publications explore topics like chatbot applications in SMEs, AI in education, and design thinking methodologies. He actively contributes to academic and industry committees, including the Singapore Ministry of Trade and Industry’s Design Education Advisory Committee.

• Human-AI Communication
• Digital Business Innovation
• Human-Machine Collaborative Systems
• +۳ مورد دیگر

Li Jiannan is a Full-time Assistant Professor of Computer Science at the School of Computing and Information Systems, Singapore Management University (SMU). He is part of the SMU HCI community and holds a PhD from the University of Toronto (2024). His research focuses on human-machine collaborative systems, pervasive sensing, and human-computer interaction applications in health, wellbeing, and future work paradigms. Research interests include: Language-driven robotic telepresence systems Large language models for visualization and design studies Mixed reality collaboration tools Immersive environments for skill teaching Recent publications demonstrate expertise in: Robot-assisted physical task guidance Generative AI for VR scene creation Camera control through subtle human cues 360° video navigation techniques Scientific recognition includes: Best Paper Award at ACM/IEEE HRI 2025 Best Paper Honorable Mention at CHI 2025 Best Paper Honorable Mention at CHI 2021 Best Paper Honorable Mention at CHI 2018

• Human-Machine Collaborative Systems
• Pervasive Sensing & Systems
• Human-Computer Interaction
• +۴ مورد دیگر

Fiona Fui-Hoon is a Professor of Information Systems at the School of Computing and Information Systems , Singapore Management University . Her research focuses on Human-Computer Interaction (HCI) , Digital Transformation , and Generative AI Governance . Education: PhD in Information Systems, University of British Columbia (1997) Her work bridges neuroscience and behavioral analytics through EEG-based studies on flow experience in gaming , while addressing AI ethics in privacy, fake news, and metaverse applications. Recent publications emphasize digital risk assessment , collaborative systems , and gamification in enterprise software . She mentors PhD candidates Mohamed Dhameem and Wu Young Jiaqi , and her expertise spans digital business , human-machine systems , and strategic IT management .

• Human-Machine Collaborative Systems
• Human-Computer Interaction
• Information Systems & Technology
• +۲ مورد دیگر

Brian Lim Youliang is an Associate Professor at the National University of Singapore (NUS) in the Department of Computer Science . He holds a BSc in Engineering Physics with a minor in Computer Science from Cornell University , an MSc in Human-Computer Interaction from Carnegie Mellon University , and a PhD in Human-Computer Interaction from Carnegie Mellon University . His research focuses on Explainable AI (XAI) , Human-Computer Interaction (HCI) , and Ubiquitous Computing , with applications in healthcare analytics , wellness, and urban sustainability . He leads the NUS Ubicomp Lab , which develops AI-driven technologies for user-centric and trustworthy systems. From analyzing his publications, the research trends show expertise in machine learning interpretability , cognitive load optimization , crowd ideation algorithms , and context-aware systems . His work bridges cognitive psychology with technical AI to create more human-relatable explanations for machine learning models. Scientific achievements include: CHI'22 Best Paper Award (Top 1%) IMWUT Distinguished Paper Award (Top 6/166 in 2019) MOE Outstanding Mentor Award (2016) CHI'09 Best Long Paper Nomination (Top 5%) He teaches courses in Machine Learning (CS3244) and Human-Computer Interaction Theories (CS4249) . The lab continues advancing human-AI collaboration through explainability frameworks and cognitive psychology integration.

• Explainable Artificial Intelligence
• Human-Computer Interaction
• Ubiquitous Computing
• +۴ مورد دیگر

LEE Yi-Chieh is an Assistant Professor in the Department of Computer Science at NUS Computing, National University of Singapore. He holds a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (2021) and previously worked as a researcher at NTT, Japan. He leads the AI4SG (AI for Social Good) Lab, focusing on designing AI technologies to promote societal well-being. Ph.D., Computer Science, University of Illinois Urbana-Champaign, 2021 Researcher, NTT, Japan Assistant Professor, Department of Computer Science, NUS Computing His research lies at the intersection of human-computer interaction (HCI), computer-supported cooperative work (CSCW), and human-centered AI. He investigates how conversational agents can support mental health, reduce stigma, and encourage prosocial behaviors. His work emphasizes trust, ethics, and social impact in AI systems, particularly in healthcare and marginalized communities. He also explores multi-agent systems, AI literacy, and emotional reciprocity in human-AI relationships. The recent publications (2023–2025) reflect a strong trend toward AI for mental well-being, social influence in multi-agent environments, ethical challenges in AI companionship, and innovative applications of conversational agents in education, healthcare, and social services. The research combines qualitative and quantitative methods, often involving participatory design and cross-cultural studies. Notable scientific awards include: CSCW2022 Diversity & Inclusion Award Cornell-NUS Global Strategic Collaboration Award LEE Yi-Chieh is actively involved in advising and research grants through the AI4SG Lab. While specific students are not listed, his lab conducts impactful research in AI for social good, supported by institutional and international collaborations. He teaches courses such as CS3249 (User Interface Development) and CS5346 (Information Visualization), contributing to both undergraduate and graduate education. The AI4SG Lab is dedicated to creating socially responsible AI systems through interdisciplinary research, community engagement, and technology design that addresses real-world challenges in mental health, aging, inclusivity, and social justice.

• Human-Computer Interaction
• Computer-Supported Cooperative Work (CSCW)
• Social Computing
• +۱۲ مورد دیگر