جستجوی استاد راهنمای دانشگاهی

• digital entertainment
• serious games
• human-computer interaction
• +۸ مورد دیگر

Jin Yunshui is an Associate Professor at the Media Experiment and Practice Teaching Center within Tongji University's School of Art and Media. He holds a PhD in Digital Design and Technology from the University of the Arts London (2022) and has extensive experience in digital animation, interactive media, and immersive technologies. Education PhD in Digital Design and Technology (2017-2022), University of the Arts London, UK MFA in Media Art and Design (2011-2012), Bauhaus University Weimar, Germany Master of Arts (2010-2013) and Bachelor of Animation (2006-2010), Tongji University Research Interests Jin's work spans virtual reality (VR) , augmented reality (AR) , serious games , cultural heritage digitization , 3D visualization , and natural user interfaces . He focuses on applying immersive technologies to education, mental health, and historical preservation. Research Trends His recent publications highlight comparative studies of VR/AR systems, immersive education applications, and ethical design of interactive media. Key themes include digital storytelling , user engagement metrics , and technological frameworks for generative art . Scientific Awards 金曦奖-创新印象艺术奖 (2022) The Rookies奖沉浸式媒体组冠军 (2019) 全国计算机设计大赛一等奖 (2009) 同济大学优秀教师 (2018) Grants & Projects Jin leads major initiatives like the Shanghai Educational Research Project on Mental Health Intervention (2024), Ministry of Education's National Golden Course in Shadow Puppetry (2023), and international collaborations with Brunel University on creative industries (2023). Labs & Teams He heads the Non-planar Imaging Laboratory at Tongji and contributes to the Forever Project with Holocaust survivor holography (2017).

• Information Science & Library Science
• Computational Social Science
• Policy Simulation
• +۳ مورد دیگر

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).

Sheng Dongfangمشاهده پروفایل

دانشیار

• AI-generated content
• information sharing
• human-intelligence interaction
• +۱ مورد دیگر

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.

• Rapid, Sensitive, Specific Detection of Pathogenic Bacteria
• Chemical Biology and Functional Proteomics
• Study on the Establishment of Highly Effective Peptide and Protein Display Library
• +۱ مورد دیگر

Li-Na Wu is an Associate Professor at Xiamen University's School of Chemistry and Chemical Engineering, where she has been employed since 2011. She previously served as an Assistant Professor at the same institution from 2008 to 2011. Her academic background includes a Doctorate in Biochemistry and Molecular Biology from Sun Yat-sen University (2005-2008), a Master's in the same field from Xiamen University (2003-2005), and a Bachelor's in Food Science and Engineering from Huazhong Agricultural University (1996-2000). Research Focus: Dr. Wu specializes in developing advanced detection methodologies for biological systems. Her primary research areas include: Innovative pathogen detection technologies using nano-flow cytometry Chemical biology approaches for proteomic analysis Development of peptide/protein display libraries Protein interaction mapping techniques Her work bridges analytical chemistry, microbiology, and nanotechnology, with applications in diagnostics and environmental monitoring. Research Trends: Analysis of her recent publications (2011-2020) reveals consistent focus on single-cell analysis methodologies, particularly flow cytometry applications for pathogen detection. Her work demonstrates increasing sophistication in nanotechnology-enabled biosensing, with recent emphasis on extracellular vesicle characterization for clinical diagnostics and bacterial stress response mechanisms. The publications consistently address challenges in sensitivity and specificity for detecting biological threats. Scientific Recognition: No awards or honors are documented in the available information. Academic Contributions: The available text does not specify details regarding student advising, grant acquisition, laboratory leadership, or collaborative teams.

• Management Information Systems
• Business Analytics
• Decision Support Systems
• +۲ مورد دیگر

Wei Huang (Wayne) is a Chair Professor and founding dean of the College of Business at Southern University of Science & Technology (SUSTech) in Shenzhen, China. He holds the prestigious National Yangtze Chair in Management Information Systems and has over 35 years of full-time teaching and research experience across multiple continents. His academic career spans renowned institutions including University of New South Wales (Sydney, Australia), National University of Singapore (NUS), Harvard University, Chinese University of Hong Kong (CUHK), and Xi'an Jiaotong University. His research interests focus on Management Information Systems , specifically on using IS/IT to support decision-making and collaboration, and business analytics. Dr. Huang has published over 200 research papers in top-tier journals including MIS Quarterly (MISQ), Journal of Management Information Systems (JMIS), Journal of the Association for Information Systems (JAIS), and IEEE Transactions, with his work being cited by leading journals such as Management Science and ISR. His recent publications demonstrate a clear trend toward integrating emerging technologies like artificial intelligence, blockchain, and IoT with traditional business analytics to create more robust decision support systems. The research spans multiple subfields including machine learning, data visualization, collaborative technologies, and cross-cultural aspects of information systems adoption, reflecting both the breadth and depth of his scholarly contributions. AIS Fellow (2020) - second professor from a Chinese university to receive this honor Sandra Slaughter Outstanding Services Award (2018) - first mainland Chinese scholar to receive this award National Yangtze Chair in Management Information Systems Outstanding SIG Award for AIS SIG-ISAP (2017) Highest Quality Rating from the British Library Outstanding Professional Service Award of ICIS Dr. Huang has secured significant research funding from diverse sources including the Australian Research Council (ARC), National Science Foundation of China, National University of Singapore, Chinese University of Hong Kong, and Harvard University. His leadership extends beyond research to academic service where he has served as PACIS Council Chair (2019-2022), founding President of AIS SIG-ISAP for over 15 years, and key founding member of China AIS Chapter. He currently serves as Vice Chairman of the Teaching Steering Committee for Management Science and Engineering Programs at Guangdong Universities, Honorary Dean of the China Guoxin Credit Big Data Research Institute, and several other high-level advisory roles with Chinese governmental bodies.

Yang Fukangمشاهده پروفایل

مدرس

• Information Science
• Library Science
• Sustainable Development
• +۳ مورد دیگر

Yang Fukang is a Lecturer at the School of Public Affairs , Zhejiang University , PRC. He holds a B.Sc in Computer Science from FuDan University (1986) and has been affiliated with Zhejiang University's School of Public Affairs since September 1998. Education : B.Sc in Computer Science, FuDan University (1986) Research Interests focus on library science, information resource management, and sustainable development strategies for public information systems. His work addresses challenges in information integration, digital governance, and combating "information anemia" on governmental platforms. Publications include studies on library sustainability, information integration trends, and the evolution of public service models. Key themes span from resource management to policy analysis in information systems.

• e-commerce
• big data marketing
• sharing economy
• +۷ مورد دیگر

GUO Yue is an Associate Professor at the School of Business, Southern University of Science and Technology (SUSTech). His academic work spans interdisciplinary fields of management information systems, with a focus on practical applications in e-commerce, big data marketing, sharing economy, digital tourism, and enterprise innovation. He serves as Editor-in-Chief of the International Journal of Information System and Management and Associate Editor for Electronic Commerce Research and Application. Dr. Guo received his PhD from Norwich Business School, University of East Anglia. His professional journey includes diverse roles as computer research scientist, network development engineer, and investment analyst, providing unique industry-academia-research perspectives. His research expertise centers on how digital platforms transform consumer behavior and business models. GUO's work explores e-commerce ecosystems, big data analytics for marketing, sharing economy business models, and digital transformation in tourism. His case studies on e-commerce and community network software have been accepted by the Harvard Case Library, demonstrating practical impact. With over 30 publications in top-tier journals including Journal of Management Information Systems, Management Science, and Harvard Business Review, GUO's research shows consistent quality and influence. His work bridges theoretical contributions with industry applications, recognized through multiple ESI Highly Cited Papers. Best Paper Nomination of The 52th Hawaii International Conference on System Sciences (HICSS) 4 papers selected for ESI Highly Cited Paper Best Paper Award of International E-Commerce Conference ICEB 2016 Outstanding Reviewer Contribution Award in Information & Management Academy of Management Annual Conference Best Paper Award Guangdong Provincial Philosophy and Social Sciences Outstanding Achievement Second Prize Shenzhen Overseas High-level Talent (Level B) GUO has served as principal investigator for National Natural Science Foundation projects and over 10 horizontal research projects. As a review expert for the National Natural Science Foundation of China, he contributes to the research ecosystem. His industry engagement includes digital transformation training for government agencies and enterprises. He co-founded a cross-border e-commerce platform, a big data advertising company, and a PSaaS software company listed on the Growth Enterprise Market. As founding Executive Director of the University of London Consumer and Enterprise Digital Analysis Center and Shuguang International Joint Research Institute, GUO bridges academic research with practical applications. His research on online transaction fraud has received media attention, demonstrating real-world relevance of his work in the digital economy space.

Yu Chunlingمشاهده پروفایل

دانشیار

• Brand Management
• Strategic Management
• Consumer Behavior
• +۴ مورد دیگر

Yu Chunling is an Associate Professor in the Department of Marketing at Tsinghua University's School of Economics and Management. She holds a PhD in Management from Tsinghua University, a Master's in Management from Tianjin University, and dual Bachelor's degrees in Industrial Management Engineering and Electronic Engineering/Radiotechnology from Tianjin University. Her research focuses on brand equity creation , strategic management , and value assessment , with applications in consumer behavior and international marketing. She teaches courses including Brand Management , Marketing Management , and New Marketing Practice Case Analysis for MBA, EMBA, and executive education programs. Prof. Yu has led significant research projects including National Natural Science Foundation studies on Chinese consumers' global brand perception and internet word-of-mouth dynamics. Her publication portfolio demonstrates strong focus on: Cross-cultural brand perception in emerging markets Digital/social media marketing impacts Consumer decision-making psychology Sustainable consumption drivers Awards and Honors: Multiple Outstanding Teaching Awards for EMBA/executive education Outstanding Course Innovation Award Outstanding Responsible Professor Award She has developed over 15 business cases for Tsinghua's China Business Administration Case Library and Harvard Case Library. Current research includes collaborations with industry leaders like China Merchants Bank on brand strategy development.