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Wang Yingji is a tenured professor and doctoral supervisor at the School of Art and Media, Tongji University. He holds a PhD in Literary Studies and has served as director of the China Culture and Art Communication Research Center, member of the China Artists Association, and editorial board member of "Media Criticism" journal. BA: Chinese Language and Literature, Renmin University of China (1995) MA: Journalism, Beijing Normal University (2004) PhD: Literary Studies, Beijing Normal University (2007) His research focuses on the intersections between Journalism and Communication, Media Phenomenology, Philosophy of Technology, and Traditional Chinese Culture. His work explores embodied cognition in media interaction, technological mediation of human perception, and historical epistemology of media systems. The articles demonstrate his expertise in media phenomenology (Hubert Dreyfus analysis), digital reading behavior studies, VR technology ideologies, and historical reconstruction of Chinese communication theories. His publications span from 2016-2022 with consistent CSSCI indexing. National Social Science Fund General Project: "Chinese Modern Public Opinion Thought History" (2021) Major Project Subtopic: "Chinese Media Archaeology in Civilizational Diversity" (2020) Ministry of Education Project: "Husserl's Media and Communication Thought" (2020) Completed NSFC Project: "Rumor Propagation and Governance in Public Emergencies" (2011) As educator, he teaches courses like "Chinese Classical Media Art", "Media Research Methods", and "Communication Theory". His administrative roles include leadership positions in the Chinese Society of Journalism History and multiple journal editorial boards.

• Journalism and Communication
• Media Phenomenology
• Philosophy of Technology
• +2 more

Wenzhong Li is a Professor at the School of Computer Science, Nanjing University, where he leads research at the State Key Laboratory for Novel Software and Technology. His academic career spans over 15 years with significant contributions to AI-empowered distributed systems, big data mining, and networking applications. He teaches Computer Networks and guides graduate students in Distributed Computing Research. Professor Li's research focuses on cutting-edge areas including AI-Empowered Distributed Systems and Applications (MultiModal Large Models, Embodied Intelligence, Edge Computing), Big Data Mining (Time Series Analysis, Graph Computing, Social Networks Analysis), and AI-Based Distributed Resource Scheduling. His work bridges theoretical foundations with practical implementations in real-world systems. His recent publications demonstrate a strong trend toward integrating deep learning with graph theory and time series analysis, with applications in human activity recognition, network optimization, and multimodal systems. The research spans multiple disciplines including artificial intelligence, computer vision, networking, and data mining, with a particular emphasis on practical implementations for real-world problems. Best Paper Runner Up at KSEM 2023 for 'Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy' Best Paper Award at APNet 2018 for 'Toward Effective and Fair RDMA Resource Sharing' Professor Li has advised numerous PhD and Master's students who have gone on to prominent positions at institutions like Nanjing University, Huawei, Alibaba, Microsoft, and various international universities. His research is supported by substantial grants from the National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Power Grid, and other major funding bodies, totaling multiple multi-year projects with significant budgets. He leads the AINet Group and is affiliated with the Sino-German Institute of Social Computing and MobileCloud research initiatives. His DISLAB provides the organizational framework for his research team, which includes dozens of graduate students and collaborators working on cutting-edge problems in AI, networking, and distributed systems.

• AI-Empowered Distributed Systems
• MultiModal Large Models
• Embodied Intelligence
• +9 more

You Fang is a Professor at Tongji University's School of Art and Media, serving as PhD Supervisor in Design and Automotive Engineering. As Director of the Automotive Interaction Design Lab/User Experience Lab, they lead cutting-edge research in intelligent cognitive interaction, smart cockpit design, and embodied cognition applications. Their work bridges academia and industry through collaborations with Huawei, Baidu, and SAIC, while maintaining international partnerships with institutions in Germany, Australia, and Finland. PhD in Computer Software and Theory (Sun Yat-sen University, 2003) Master's in Computer Animation (Bradford University, 2005) Engineering Master's in Fashion Design (Northwest Institute of Textile Technology, 2000) Research focuses on three core areas: 1. Cognitive Interaction Design for autonomous vehicles, 2. Hybrid Spatial Information systems integrating physical and virtual environments, and 3. Art Therapy Applications using traditional movement cognition. Their work spans from theoretical studies in cognitive science to practical implementations in commercial automotive systems. Recent publications reveal a strong emphasis on AR-HUD interface optimization (7/15 papers), human-vehicle collaboration (4/15), and multimodal interaction (5/15). Key themes include driver trust assessment, spatial perception modeling, and non-verbal communication mechanisms in intelligent transportation. Scientific Recognition : 2022 Chinese Cultural and Tourism Government Award 2021 Tongji Yucai Award (2nd Prize) Multiple Ministry of Education Technology Progress Awards 27 invention patents (2017-2022) As educational innovator, they developed the award-winning Interaction Design: Design Thinking and Practice textbook adopted by 10+ Chinese universities, and pioneered digital education sandboxes for interactive design pedagogy.

• Design
• Human-Computer Interaction
• Intelligent Transportation Systems
• +2 more

Liangming Chen is an Associate Professor at the School of Automation and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech), China. Previously, he held postdoctoral positions at Nanyang Technological University, Singapore. His academic roles include deputy editor-in-chief for IEEE Transactions on Robotics and IEEE Transactions on Systems, Man, and Cybernetics: Systems . As a Senior Member of the IEEE, he has been selected for the National High-Level Talent Program (Youth Project) and Shenzhen Overseas High-Level Talent Program (Peacock Plan Category C). Education : PhD in Systems and Control (University of Groningen, 2021), PhD in Control Science and Engineering (Harbin Institute of Technology, 2019), BEng in Automation (Southwest Jiaotong University, 2015). His research integrates Rigid Graph Theory , Multi-Agent Systems , and Robotics , with recent work focusing on Brain-Inspired Intelligence and Machine Learning . Key trends in his publications (2020-2025) include Formation Control , Distributed Localization , and Unmanned Systems , appearing in top journals like IEEE TAC , Automatica , and IEEE TRO . Scientific Awards include the Shenzhen Overseas High-Level Talent Program and competition prizes in Electronics Design and Mathematical Modeling . He has guided teams to national awards and mentored students to placements at top institutions. His group pursues High-Impact Research in Multi-Agent Estimation , Robot Swarms , and Autonomous Navigation , with applications in drones and embodied intelligence.

• Rigid Graph Theory
• Multi-Agent Systems
• Unmanned Systems
• +4 more