Find Academic Supervisors

• Communication
• Children and adolescents' media use
• Digital education
• +4 more

Chen Qingwen is an Associate Professor at Tongji University's School of Art and Media, where he serves as a graduate student advisor and freshman mentor. Holding a PhD from Fudan University and postdoctoral training from Shanghai Jiao Tong University, he transitioned from media industry roles in Taiwan to academia in Shanghai, focusing on communication research and teaching. Education: PhD, Fudan University Postdoctoral Fellow, Shanghai Jiao Tong University Research Focus: His work examines children's media use , elderly digital inclusion , and cross-cultural communication , with emphasis on parental mediation strategies , media literacy education , and societal impacts of new media . Recent studies explore intergenerational digital divides and social robot companionship for aging populations. Publication Trends: His 15 most recent works (2012-2022) reveal evolving focus from global Chinese communication (2012-2013) to children's media (2016-2019) and elderly digital adaptation (2021-2022), utilizing mixed methods across Chinese and international journals. Scientific Recognition: Guided award-winning student video projects Secured 'excellent' rating for Shangchuang innovation project Received 2021 teaching achievement award (second place) Research Leadership: Directed four major projects including the Shanghai Philosophy and Social Science Fund study on children's new media use (2014-2019) and National Social Science Fund project on Chinese global communication strategy (2005-2010). His work appears in core journals like News Reporter and has been reprinted in Xinhua Digest . Academic Community: Actively participates in the Omnimedia Research Institute and presents at international forums including ICA and IAMCR conferences.

• Risk Communication
• Intelligent Communication
• Privacy Protection
• +5 more

Meng Xiaoxiao is an Assistant Professor at the Department of Communication, School of Art and Media, Tongji University , where he joined in February 2023 as a master's supervisor. His research focuses on Risk Communication , Intelligent Communication , Privacy Protection , Human-Computer Interaction , and Digital Governance . PhD in Communication from Shanghai Jiao Tong University Joint doctoral training at National University of Singapore (CSC-sponsored) Master of Journalism and Communication from Huazhong University of Science and Technology His scholarly work examines privacy boundary turbulence in digital environments, algorithmic governance, and trust dynamics in political communication. Recent publications analyze ACGN addiction , governance-oriented privacy practices , and platformized youth subcultures . He has presented at top-tier conferences like ICA and AEJMC , including developing measurement scales for privacy distress. Meng serves as a reviewer for SSCI journals ( New Media & Society , International Journal of Public Opinion Research ) and international conferences. His research is supported by grants from the National Ministry of Science and Technology and Tongji University , focusing on AI content governance and user privacy preferences . Award highlights: 2022 Shanghai Outstanding Graduate 2022 AEJMC Best Student Paper (Chaffee-McLeod Top Student Paper)

• Human-Computer Interaction
• Human-Robot Interaction
• Interaction Design
• +6 more

Xueliang Li is an Assistant Professor at the School of Innovation and Creative Design at Southern University of Science and Technology (SUSTech) in Shenzhen, China. His academic position focuses on the intersection of design, technology, and mental wellbeing, with particular emphasis on creating intelligent systems that support human emotional states and social connections. Li received his Bachelor's degree in Industrial Design from Hebei University of Technology, followed by a Master's degree in Design from Jiangnan University. He completed his PhD at the Faculty of Industrial Design Engineering, Delft University of Technology (Netherlands), where his doctoral research centered on designing smart wearables to help people, particularly those with post-traumatic stress disorder (PTSD), manage stress in everyday contexts. His research interests span Human-Computer Interaction (HCI), Human-Robot Interaction (HRI), emotion-driven design, and design for mental wellbeing. Li adopts a Research-through-Design approach, viewing design activities as a method for advancing understanding of innovative technology applications in daily life. His work integrates perspectives from computer science, electronic engineering, mental healthcare, fashion design, and interaction design to create intelligent everyday objects that provide care and companionship. He is particularly interested in how design can cultivate emotional and psychological wellbeing through thoughtful technological interventions. Analysis of his publication record reveals a consistent focus on designing technologies for mental health and wellbeing, with particular emphasis on stress management, elderly care, and emotional support systems. His work demonstrates a progression from wearable stress management solutions toward broader applications in intergenerational communication and social wellbeing. The publications show strong interdisciplinary collaboration across computer science, mental healthcare, and design disciplines, with a methodological emphasis on field studies and user-centered design approaches. Li maintains an active research group with the HCI-X Group (https://www.hci-xgroup.com/), where he leads projects exploring the design of intelligent systems for emotional wellbeing and human-technology partnerships. His work bridges theoretical design research with practical applications that address real-world challenges in mental health and social connection.

• Micro-interaction
• Interactive prototyping
• Formal methods of describing interactions
• +5 more

Luo Tao is an Assistant Professor at the School of Innovation and Creative Design at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He is recognized as a young top talent in the Guangdong Province "Pearl River Talent Program" and has received SUSTech's Excellent Teaching Award. His educational background includes: Bachelor's degree in Mathematics and Applied Mathematics from Sun Yat-sen University Master's and Ph.D. degrees in Interaction Design from Kookmin University in South Korea Luo Tao is an interaction design practitioner, researcher, and educator focusing on micro-interaction, interactive prototyping, and formal methods of describing interactions. He has developed an interaction design language grounded in mathematical category theory and explores innovative interaction techniques across various scenarios including mixed reality, tangible user interfaces, smart home, and smart car applications. His research aims to improve designers' efficiency in innovating interactions on various platforms, transforming cutting-edge technology into elegant and delightful user experiences. His research demonstrates a clear progression from theoretical foundations of interaction design to practical implementations across multiple platforms. His work spans from fundamental theories of information (as seen in his 2016 paper) to concrete applications in mobile, wearable, and automotive contexts, showing an integrated approach to bridging academic research with industry applications. His notable achievements include: Principal inventor of 16 patents across China, the US, and South Korea on interaction methods Author of "Interaction Design Language: Designing the Beauty of Interactions" and "The Universal Interactive Gesture Dictionary" Development of an editing and prototyping toolkit based on his interaction design language Over 50 invention patents filed since 2019 in collaboration with students One patent recognized as among SUSTech's most valuable by IPwe Luo Tao has extensive industry experience, having previously worked as a UX Design Manager at SK Telecom, where he was responsible for interaction design for smartphones, smartwatches, and automotive applications. His academic journey includes serving as an Assistant Professor at Kookmin University before joining SUSTech, demonstrating a successful integration of industry practice and academic research.

• Consumer Behavior
• Product and Service Experience
• Decision Science
• +3 more

Maggie Wenjing Liu is a tenured Associate Professor in the Department of Marketing at Tsinghua University's School of Economics and Management (SEM). She holds leadership roles as Associate Director of the Computational and Behavioral Science Lab and China Retail Research Center, and Chair of the Marketing Department's Academic Seminar Committee. Education: Ph.D. in Marketing, Rotman School of Management, University of Toronto M.S. in Marketing, NUS Business School, National University of Singapore Bachelor in Economics, University of International Business and Economics Research Focus: Her work centers on consumer behavior , product/service experience , decision science , and pricing , examining psychological mechanisms through experimental and analytical methods. Key themes include ritualistic consumption, AI-human interaction in marketing, visual branding effects, and cross-cultural service responses. Publication Trends: Recent work (2017-2025) appears in top journals like Production and Operations Management (UTD) and Journal of Consumer Psychology (FT50), revealing strong interdisciplinary connections between behavioral science, marketing strategy, and data-driven consumer insights with increasing focus on AI applications and crisis response. Scientific Awards: National Natural Science Foundation Youth Project Outstanding Evaluation (2017) National Natural Science Foundation General Project Outstanding Evaluation (2021) Tsinghua University teaching reform project Grade A (2020) Beijing Higher Education Young Elite Scholar Award Two-time Outstanding Expert Reviewer (Journal of Marketing Science) Society of Asian Retailing and Distribution Best Paper Award Advising & Grants: As a doctoral advisor, she mentors PhD candidates who frequently co-author publications. She secured three National Natural Science Foundation General Programs, one Youth Project, three provincial/ministerial grants, and multiple Tsinghua projects, with two NSFC projects rated Outstanding upon completion. Labs & Leadership: She co-directs Tsinghua SEM's Computational and Behavioral Science Lab and China Retail Research Center, driving research at the intersection of marketing analytics, consumer neuroscience, and retail innovation while serving on editorial boards for Marketing Letters and Journal of Business Research .

• Digital Media Art
• Interactive Design
• Media Education
• +2 more

Zhou Xiaorui is an Associate Professor in the Animation Department at Tongji University's School of Art and Media, with a focus on digital media art and interaction design. Holding a Master's degree, they have been teaching at Tongji since 2003 after earlier positions at Jiangnan University. Education : Jiangnan University (B.A. 1993, M.A. 1999), Bauhaus University (Visiting Scholar 2004) Their research emphasizes interaction design's role in community service systems and media education, producing 15+ academic publications. Zhou contributes to curriculum innovation through projects like the 'Interactive Media Curriculum' awarded by Tongji University. Key article themes include interactive interface systems, multimedia applications in stage design, and pedagogical frameworks for new media education. Research spans both theoretical and practical dimensions of digital media art. Scientific Awards : Shanghai Teaching Achievement Award Second Prize (3rd ranked) Tongji University Teaching Achievement Second Prize Outstanding Teacher at Jinggangshan Cadre College Hongda Reward Fund recipient Zhou serves as Director of the Animation Department while maintaining active teaching roles in courses like 'Interactive Media Fundamentals' and 'New Media Art Creation'. Their work bridges academic research with real-world community applications.

• Information Science & Library Science
• Computational Social Science
• Policy Simulation
• +3 more

Zhuoren Jiang is a tenure-track Assistant Professor and Doctoral Supervisor at the Department of Information Resources Management, School of Public Affairs, Zhejiang University. He holds a Ph.D. and serves as a key faculty member in the department, with his office located in Room 612-2 of the School of Public Affairs building at Zhejiang University's main campus in Hangzhou. Dr. Jiang's research spans multiple interdisciplinary domains, with primary focus on Information Science & Library Science, Computational Social Science, Policy Simulation, and Artificial Intelligence Algorithms and Applications. His work bridges social science, data science, and computer science, creating innovative approaches to understanding complex social phenomena through computational methods. He has developed expertise in graph representation learning, large language models, and their applications in scientific impact prediction, legal reasoning, and policy analysis. His publication record reveals a strong trajectory in high-impact venues, with recent work focusing on multimodal business analysis, legal judgment prediction, policy style measurement, and scientific peer review systems. His research demonstrates an increasing emphasis on integrating large language models with graph-based approaches to solve complex interdisciplinary problems, particularly in the domains of legal informatics and scientific communication. Zhejiang University Teaching Excellence Award, 2024 Best Short Paper Awards Nominee, SIGIR Conference, 2024 Alibaba Research Fellowship, 2019 & 2020 Boya Postdoctoral Fellowship, Peking University, 2016 Best Poster Award, JCDL, 2013 Dr. Jiang actively mentors students and seeks highly self-motivated PhD and master's candidates interested in interdisciplinary research. He has served as principal investigator or sub-project lead for multiple research projects including National Key R&D Program, Major Projects of the National Social Science Foundation of China, and Projects of the National Natural Science Foundation of China. His academic service includes editorial board membership for Frontiers in Big Data and peer reviewing for numerous top journals including Information Processing & Management and Journal of the Association for Information Science and Technology. He maintains active collaborations with industry, having previously served as a consultant (visiting professor) at Alibaba DAMO Academy and currently as a collaborating expert at Tongyi Lab. His professional memberships include ACM (Association for Computing Machinery), ACM SIGIR, ACL (Association for Computational Linguistics), and ASIS&T (Association for Information Science and Technology).

Guo XunhuaView profile

Professor

• Management Information Systems
• E-commerce
• Social Networks
• +4 more

Guo Xunhua is a Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management. He serves as Party Branch Secretary and holds significant leadership roles including Executive Director and Secretary-General of the China National Association for Information Technology (CNAIS), Vice President of the China Society of Information Economics, and Secretary-General of the Information Management Committee of the China Management Modernization Research Association. His educational background includes dual bachelor's degrees in Management Information Systems and Computer Science and Technology from Tsinghua University (2000), followed by master's and doctoral degrees in Management Science and Engineering from the same institution (2005). He has been teaching at Tsinghua since 2005 and maintains international academic connections through visiting positions at RWTH Aachen University and MIT Sloan School of Management. Guo's research spans Management Information Systems, E-commerce, Social Networks, and Business Intelligence, with a focus on business intelligence methods in internet environments and behavioral patterns under emerging information technologies. His work integrates both 'technology' and 'behavior' perspectives within information systems research. His recent publications reveal a strong trend toward AI applications in e-commerce, personalized recommendation systems, social commerce dynamics, and the psychological aspects of digital interactions. Ministry of Education Changjiang Scholar Young Scholar (2019) Ministry of Education Outstanding Achievement Award for Scientific Research in Humanities and Social Sciences Beijing Philosophical and Social Sciences Outstanding Achievement Award Beijing Higher Education Teaching Achievement Award Multiple Tsinghua University Teaching Achievement Awards Professor Guo serves as Assistant Editor-in-Chief of the Journal of Information Systems and sits on editorial boards for international journals including Information Technology & People, Electronic Commerce Research, and Journal of Global Information Management. His teaching portfolio includes graduate courses in IT and Organization, and undergraduate courses in Principles of Computer Systems, Management Information Systems, and Introduction to Management Science and Engineering Research.

• Genomic Evolution
• Tumor Metabolism
• Transcriptional Regulatory Mechanisms
• +3 more

Dan HUANG is an Assistant Professor in the Department of Basic Immunology and Microbiology at the School of Life Sciences, Southern University of Science and Technology. He obtained his Ph.D. in Chemical Pathology from The Chinese University of Hong Kong (2014-2018) and a Bachelor's degree in Bioinformatics from Harbin Medical University (2008-2013). His professional journey includes postdoctoral research at SUSTech (2021-2023) and The Chinese University of Hong Kong (2019-2020), plus a Chief Scientist role at Cytomics Limited (2020-2021). Research Interests: Genomic Evolution Tumor Metabolism Transcriptional Regulatory Mechanisms Publication Trends (2020-2023): His work focuses on leveraging multi-omics data to uncover mechanisms in cancer resistance, including RNA methylation (m6A), microbiome interactions, and evolutionary adaptations of tumor suppressor genes. Key themes include immunotherapy optimization, epigenetic regulation, and cross-disciplinary applications of bioinformatics to clinical and environmental contexts. Academic Background: Ph.D., Chemical Pathology, The Chinese University of Hong Kong (2014-2018) Bachelor's, Bioinformatics, Harbin Medical University (2008-2013)

• Media Theory
• Digital Culture
• Media Archaeology
• +5 more

Zhang Yan is an Assistant Professor at the School of Art and Media, Tongji University , holding a PhD in Philosophy, Literature and Aesthetics. His research focuses on Media Technology Theory and Digital Culture , with particular emphasis on media archaeology, human-computer interaction, and technological aesthetics. PhD candidate in Philosophy, Literature and Aesthetics, Tongji University (2020) M.A. in East Asian Studies, Ohio State University (2015) M.A. in Modern and Contemporary Literature, Nanjing University (2012) B.A. in Liberal Arts, Nanjing University's Kuang Yaming College (2009) Zhang's research spans media archaeology, digital aesthetics, and urban cultural studies. His publications analyze topics like planetary art, glitch aesthetics, and the intersection of technology with humanistic thought. Recent work examines AI-generated art through systems theory frameworks. Current research projects include Shanghai Philosophical Society Grant (2021) and Ministry of Education Grant (2024) on media archaeology and AI aesthetics. He also serves as a researcher at Tongji University's Center for Chinese Discourse and International Communication Studies.

Sheng DongfangView profile

Associate Professor

• AI-generated content
• information sharing
• human-intelligence interaction
• +1 more

Sheng Dongfang serves as an Associate Professor and master's supervisor at Shandong University's School of Management, recognized as a Young Scholar of the Future Program. He holds leadership roles including Director of the Information Systems Engineering Committee (Chinese Society for Systems Engineering) and Director of the Shandong Provincial Library Association, while acting as a correspondence reviewer for the National Natural Science Foundation of China. His research centers on AI-generated content, information sharing dynamics, human-intelligence interaction frameworks, and online public opinion analysis. Recent work employs meta-analytic structural equation modeling to dissect service robot anthropomorphism in tourism contexts and user trust mechanisms in chatbot adoption, revealing critical mediation pathways through perceived competence/warmth and cultural moderators. Funded by the National Social Science Foundation of China (Grant 23BTQ086), his projects include National Natural Science Foundation Youth Projects and Ministry of Education Humanities Fund initiatives. With over ten SCI/SSCI/CSSCI publications, he actively mentors undergraduates through Shandong University's talent cultivation system, resulting in high-impact co-authored papers in Current Issues in Tourism (JCR Q1) and Journal of Electronic Commerce Research.

• 3-D genomics
• epigenomics
• chromatin topology
• +5 more

Yuliang Feng is an Associate Professor and doctoral supervisor in the Department of Pharmacology, School of Medicine, Southern University of Science and Technology (SUSTech), China. He also serves as Vice-Chair of the Pan-Vascular Committee of the Guangdong Medical Education Association and holds editorial/reviewer roles for more than 25 international journals. Education Ph.D. in Molecular & Cellular Medicine, University of Oxford, UK (2019-2022) M.D. in Cardiovascular Pharmacology, Joint Ph.D. program, Southern Medical University & University of Cincinnati (2008-2014) B.M. in Preventive Medicine, Sun Yat-sen University, China (2003-2008) Research Interests Dr. Feng integrates 3-D genomics , epigenomics and computational biology to decode how higher-order chromatin organization governs transcriptional programs in human disease, with a focus on cardiovascular disease and cancer . His laboratory maps enhancer–promoter interactions using Hi-C, ChIA-PET and HiChIP, and develops multi-omics databases (e.g., EXPRESSO) to uncover therapeutic targets that reprogram pathological gene networks. Recent work reveals shared genetic architectures among major cardiovascular diseases, telomere-length contributions to disease onset, BRD9–SMAD2/3-mediated stemness in pancreatic cancer, and 3-D chromatin rewiring during dilated cardiomyopathy. These studies highlight his expertise in translating genome topology findings into diagnostic and precision-medicine strategies. Scientific Awards & Honors National Science Foundation of China Distinguished Young Scholar (Overseas), 2023 Guangdong Distinguished Young Scholar, 2023 Shenzhen Pengcheng Peacock Talent (Category C), 2023 Clarendon Scholar, University of Oxford, 2019-2022 ISHR Richard J. Bing Young Investigator Award Finalist, 2022 Multiple ISHR Young Investigator & Travel Awards (2010-2016) Grants & Leadership Dr. Feng currently leads projects funded by the National Natural Science Foundation of China and Guangdong Province, and participates in international consortia such as ENCODE, 4DN and BLUEPRINT. He mentors graduate students and postdocs, while coordinating collaborative teams across SUSTech, Oxford, and industry partners to develop next-generation epigenomic therapeutics. Laboratory & Teams The Feng lab operates within the SUSTech Medical Research Platform with access to state-of-the-art sequencing, single-cell and high-performance computing cores. The group maintains active collaborations with cardiac surgeons, oncologists and AI scientists to accelerate bench-to-bedside translation of 3-D genome-based interventions.

• Social Networks
• Platform Economy
• Online Word-of-Mouth Marketing
• +5 more

Tao Lu serves as an Assistant Professor and Doctoral Supervisor at the Business School of Southern University of Science and Technology (SUSTech) since September 2020. His academic appointments focus on bridging information systems, finance, and artificial intelligence research within a business context. Education: Ph.D. in Information Systems, The Chinese University of Hong Kong (2020) M.Phil. in Information Systems, Hong Kong University of Science and Technology (2017) B.S. in Physics/Economics, Tsinghua University (2015) Dr. Lu's research spans three interconnected domains: (1) Social network dynamics and online word-of-mouth marketing using analytic modeling and experimental design; (2) Quantitative finance focusing on distributional uncertainty in asset pricing and neural network applications; (3) Algorithmic bias mitigation in machine learning systems. His work combines rigorous theoretical modeling with empirical validation, often translating to practical applications in quantitative finance. Scientific Recognition: Innovation Research Award of China Information Economics Society (2022) Dr. Lu actively supervises research through his team's recruitment of research assistants and postdoctoral fellows, with projects applying to real-world trading systems in quantitative hedge funds. His research group focuses on developing computational models for financial markets and social platforms, emphasizing both theoretical contributions and practical implementation.

YANG LizhongView profile

Professor

• Building Fire Dynamics
• Fire Dynamics under Special Environment and Condition
• Occupant Evacuation In Emergency

YANG Lizhong is a Professor at the State Key Laboratory of Fire Science, University of Science and Technology of China (USTC), holding this position since 2004 after serving as Associate Professor from 1997-2003. His academic journey includes a PhD from Nanjing University of Science & Technology (1996) and a Postdoctoral fellowship at USTC (1996-1998), with additional Visiting Scholar experiences at The University of Tokyo (1998) and Japan's National Research Institute of Fire and Disaster (2002). His educational background comprises: PhD, Nanjing University of Science & Technology (1996) Postdoctor, University of Science and Technology of China (1996-1998) Professor Yang's research centers on Building Fire Dynamics, Fire Dynamics under Special Environment and Condition, and Occupant Evacuation In Emergency. His work integrates experimental investigations with computational modeling to address critical fire safety challenges, particularly focusing on ignition mechanisms, smoke propagation, and human behavior during emergencies. This interdisciplinary approach bridges engineering thermophysics, combustion science, and safety engineering to develop practical fire prevention strategies. Analysis of his recent publications reveals strong emphasis on computational fire modeling (especially lattice Boltzmann methods), evacuation dynamics using cellular automata, and environmental effects (altitude, orientation) on fire behavior. Key trends include quantification of pyrolysis processes, radiation-heat transfer interactions, carbon monoxide generation in ventilated fires, and sophisticated evacuation simulations accounting for crowd density and movement preferences. His significant honors include: National Science and Technology Progress Award, Second-class (2006) Teaching Achievement Award of Anhui Province, First-class (2010) Excellent Individual in China's 973 Program (2004) Multiple Work Safety Science & Technology Achievements Awards (2002-2006) Professor Yang has secured substantial research funding including one National Basic Research Program (973) project as principal investigator, six National Natural Science Foundation projects (one State Key Program), and participation in four State Key Program projects. He has mentored numerous graduate students and authored over 160 papers with 55 SCI and 25 EI indexed works in first-author capacity. His professional leadership includes Vice-Director of Chongqin Key Laboratory's Academic Committee and editorial roles for major journals. He operates within USTC's State Key Laboratory of Fire Science, a premier research facility where he contributes to national fire safety standards through roles in China's Standardization Administration committees and the Chinese Society of Engineering Thermophysics. His work directly informs building fire safety engineering practices and emergency response protocols across China.

• Artificial General Intelligence (AGI)
• Data Mining
• Social Networks
• +2 more

Jie Tang is a Professor at the Department of Computer Science, Tsinghua University , and a Fellow of ACM, AAAI, IEEE . His research focuses on Artificial General Intelligence (AGI) , with significant contributions to large pre-trained models like GLM-130B, ChatGLM, CogView, CogVideo, and CodeGeex. Research Trends : Jie Tang's work spans AGI development with human-like reasoning Graph Neural Networks for network representation Social network mining and influence modeling Academic knowledge graph construction (AMiner system) Advancing foundation models for cross-modal tasks Scientific Awards : SIGKDD Test-of-Time Award SIGKDD Service Award NSFC Distinguished Young Scholar 2nd National Award for Science & Technology Advising and Grants : He mentors highly-motivated students and postdocs in AGI research. His work has received extensive funding and recognition, including over 400 publications in top conferences (IJCAI, AAAI, NeurIPS, KDD) and journals (TPAMI, TKDE).