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Wang Jianmin serves as Professor and Doctoral Supervisor at Tongji University's School of Art and Media, concurrently holding the position of Vice Dean since 2014. With a computer science PhD from Sun Yat-sen University, he bridges engineering and media arts through pioneering research in intelligent communication systems and digital media interfaces. His work focuses on human-centered design for emerging technologies, particularly in automotive and virtual environments. His academic foundation includes: PhD in Engineering (Computer Software and Theory), Sun Yat-sen University (2003) Master's in Computational Mathematics, Sun Yat-sen University (1999) Bachelor's in Computational Mathematics, Nankai University (1996) Professor Wang's research centers on intelligent communication systems and digital media art, with significant contributions to automotive human-machine interfaces (HMI), virtual reality applications, and user experience methodologies. His investigations into driver-robot transparency, augmented reality navigation, and mixed-reality educational platforms demonstrate interdisciplinary innovation connecting computer science, cognitive psychology, and design theory. Current projects explore AI-driven media systems for urban environments and safety-critical interaction frameworks. Analysis of his recent publications reveals a cohesive research trajectory focusing on automotive HMI (40% of output), human-robot interaction (30%), and mixed reality applications (30%). His work consistently emphasizes experimental validation through driving simulators and user studies, yielding practical design guidelines for industry implementation. The interdisciplinary nature spans computer science, cognitive ergonomics, and media studies, with increasing emphasis on AI integration in communication systems. His scientific recognition includes national and provincial awards for innovation in human-computer interaction and educational technology: 2019 China Industry-University-Research Innovation Award for automotive HMI systems 2020 China User Experience Alliance Excellence Award 2012 Guangdong Dingying Science and Technology Award Multiple national/provincial science progress awards (2001-2009) 2020 Tongji University Teaching Achievement Award for curriculum development As an educator, Professor Wang mentors graduate students in national design competitions including the 'Core Cup' Future Automotive HMI Challenge and International User Experience Innovation Competition. His research program is supported by substantial funding from diverse sources: National Grants: National Natural Science Foundation projects on driver behavior modeling and cognitive testing Ministry of Education: 15+产学合作 projects for virtual simulation labs and curriculum development Shanghai Municipal: Publicity Department funding for smart city media research Industry Partnerships: Huawei (intelligent vehicle HMI), SAIC Motor (AR-HUD design), and automotive electronics firms He directs Tongji's Media Experiment and Practice Teaching Center and the All-Media Research Institute, leading teams developing virtual simulation platforms for emergency news reporting, intelligent vehicle interaction testing systems, and mixed reality educational tools. Current initiatives focus on AI-enhanced media art for urban applications and next-generation HMI frameworks for autonomous mobility solutions.

• Journalism and Communication
• Intelligent Communication
• Digital Media Art
• +6 more

Dr. Bai Ziqian is an Assistant Professor in the School of Automation and Intelligent Manufacturing at Southern University of Science and Technology (SUSTech) in Shenzhen, China. Recognized as a Pujiang Scholar and Shenzhen Pengcheng Peacock Talent, she has established herself as a leading researcher at the intersection of wearable technology, textile engineering, and human-computer interaction. Her work bridges technical innovation with practical design applications, focusing on user-centered solutions that enhance human experience through technology integration. Dr. Bai's educational background includes: PhD in Smart Wearable Product Design (2011-2015), Hong Kong Polytechnic University MA in Fashion and Textile Design (2005-2006), Hong Kong Polytechnic University BA in Fashion Design and Engineering (2001-2005), South China Agricultural University Her research spans wearable technology, tangible interactive interfaces, IoTs, ergonomics, functional garments, wearables for healthcare, material innovation, smart home applications, and user-centered design. Dr. Bai has pioneered work in smart wearable fabrics and sensing mechanisms based on flexible materials, with a particular focus on human-computer interaction theory and practice. She has established a research team that has mastered key technologies in smart fabrics, interactive textiles, physiological signal monitoring, and human-computer interaction systems. Her approach consistently emphasizes user-centered design principles, ensuring that technological innovations serve practical human needs while maintaining aesthetic appeal. Dr. Bai's publication record demonstrates a clear evolution from foundational work in photonic textiles toward increasingly sophisticated wearable healthcare and human-computer interaction systems. Her recent publications focus on advanced sensor technologies, energy harvesting for wearables, and sophisticated data analysis for human motion and physiological monitoring. The interdisciplinary nature of her work is evident in publications spanning materials science, biomedical engineering, textile technology, and design methodology, with papers appearing in high-impact journals including Advanced Functional Materials (IF: 19.5), ACS Sensors (IF: 8.9), and Computers in Industry (IF: 10). Dr. Bai has received numerous prestigious awards that highlight both the technical and artistic dimensions of her work: 2024 German Red Dot Design Award for Best Design 2013 Neo-Neon, permanent collection at China Silk Museum (State grade 1 museum) 2019 Finalist, ThermoBlanket, TechStyle for Social Good International Competition 2017 1st Prize Teaching Award, Donghua University 2017 China National Textile and Apparel Council Teaching Award Multiple Service Learning Awards from Hong Kong Polytechnic University She has successfully secured research funding from prestigious sources including the National Natural Science Foundation of China and Guangdong Province's General Project. Her projects include a collaborative effort with the Guangdong Provincial Department of Education and Li Ning Company on a 'flexible wearable lower limb functional electrical stimulation system.' Dr. Bai has extensive teaching experience across multiple institutions and has guided student teams to success in national competitions. She currently leads the Human-Computer Interaction Design Laboratory (HCID) at SUSTech, which focuses on advanced design, engineering, and technology research at the intersection of disciplines, training the next generation of interdisciplinary designers and engineers.

• Wearable Technology
• Human-Computer Interaction
• Smart Textiles
• +7 more

Ma Xufeng is an Assistant Professor in the Animation Department at the School of Art and Media, Tongji University , Shanghai. She earned her PhD in Image Arts from Chung-Ang University, South Korea , and completed a postdoctoral fellowship at the School of Journalism and Communication, Tsinghua University . Her research bridges intelligent imaging, animation games, AIGC, new media art, and the metaverse , focusing on intelligent image production and dissemination, AI-driven art therapy, and serious games . Education: PhD in Image Arts, Chung-Ang University, South Korea (2018.09–2021.02) Master of Image Arts, Chung-Ang University, South Korea (2016.09–2018.06) Bachelor of Art Design (Animation), Zhongnan University of Economics and Law, China (2011.09–2015.07) Research Interests: Dr. Ma’s scholarship sits at the intersection of artificial intelligence, digital media, and therapeutic applications . She explores how AI-generated content (AIGC) can revolutionize animation, game design, and immersive storytelling . A second strand investigates serious games and VR systems for autism rehabilitation and emotional therapy , leveraging game psychology to craft interventions that blend aesthetics, technology, and mental health . Publications & Research Trends: Her most recent work (2021-2024) charts a trajectory from VR-based rehabilitation games to AI painting for art therapy , demonstrating a shift from interactive technology prototypes toward critical and aesthetic theories of AI art . Collectively, her publications map the evolution of intelligent media ecosystems and their societal impact. Scientific Awards & Grants: Principal Investigator, Korean BK21+ CFT Convergence Research Project – VR immersive game for autistic children (2020) Principal Investigator, Korean BK21+ CFT Convergence Research Project – Fitness-bicycle functional game (2019) Special Selection Award, Seoul International Animation & Cartoon Festival (2020) Nomination, Golden Kuker–Sofia International Animation Festival (2020) Teaching & Labs: At Tongji University, Dr. Ma contributes to undergraduate and postgraduate curricula in animation, new media art, and game design . She is affiliated with the Omnimedia Research Institute and the Media Experiment and Practice Teaching Center , where she guides students in AI-driven content creation and VR/AR prototyping .

• Intelligent imaging
• Animation games
• AIGC (Artificial Intelligence Generated Content)
• +2 more

Xu Xiang is a Tenured Professor and Vice Dean at Tongji University School of Art and Media , where he serves as Director of the Big Data and Computational Communication Research Center. He is also Editor-in-Chief of Computing, Intelligence, and Communication , reviewer for CSSCI journals, and former Deputy Secretary-General of Beijing Society of Literature and Art. PhD in Literary Theory (Beijing Normal University, 2009) M.A. in Chinese Language and Literature (Tsinghua University, 2006) B.A. in Sociology (Nanjing University, 2004) His research focuses on computational communication, particularly analyzing social media networks, user behavior, and information dissemination. He established key theoretical frameworks including 'Opinion Paradigm', 'Social Echo Chamber', 'Influence Circle', 'Idol Conformity', 'Emotional Setting', and 'Silent Public Opinion', with extensive publications on social media emotional dynamics, information narrowing, and cultural communication mechanisms. His 15 most recent publications (2017-2022) demonstrate consistent exploration across computational communication theory, algorithmic platform analysis, and social media's role in cultural dissemination. Key research trends include information narrowing mechanisms, emotional preference patterns, and structural transformations in social media ecosystems. Fourth China 'News Communication Academic Award' (2018) Youth New Media Academic Research 'Qi Hao Award' (2018) National News Academic Youth Scholar Award (2012) Beijing-Taiwan Research Award (2013) Beijing Outstanding Talent Funding (2011) Tongji University '13th Five-Year Plan' Scientific Research Advanced Individual (2020) As an award-winning mentor, he guided student teams to first, second, and third prizes in multiple national competitions including China Data Journalism Competition and National Undergraduate New Media Creative Competition. His research bridges academic theory with policy practice, with findings receiving Central Politburo member instructions and extensive national media coverage.

• Journalism
• Communication
• Computational Communication
• +5 more

Yun Li is a Research Assistant Professor and Master's Supervisor at Southern University of Science and Technology (SUSTech), affiliated with the Department of Earth and Space Sciences within the Faculty of Science. He serves as a youth council member of the mineral materials division of the Chinese Ceramic Society and holds multiple research grants including the National Natural Science Foundation of China Youth Fund Project. Research Assistant Professor at SUSTech (2022-present) Postdoctoral Research Associate at SUSTech (2020-2022) Youth Director of International Association of Clay Minerals (2025-2029) Principal Investigator for multiple research projects Dr. Li earned his B.S. in Petroleum Engineering from Yan'an University (2010-2014), M.S. in Oil and Gas Field Development Engineering from Southwest Petroleum University (2014-2017), and Ph.D. in Mineralogy, Petrology, Mineral Deposit Geology from Guangzhou Institute of Geochemistry, Chinese Academy of Sciences (2017-2020). Dr. Li's research focuses on mineral surface-interface interactions and gas hydrates, with particular emphasis on unconventional oil and gas resources including gas hydrates, shale oil and gas, and geological hydrogen/helium. His work investigates the geological storage and mineralization of carbon dioxide, employing surface-interface analysis techniques, molecular simulation methods, and in-situ visualization experimental techniques (X-ray and neutron) to study energy/environmental fluid interactions with clay minerals. His research has significant applications in unconventional oil and gas development and carbon capture technologies. Analysis of Dr. Li's recent publications reveals a strong focus on molecular dynamics simulations of hydrate formation mechanisms in clay minerals, particularly examining how different cations, organic matter, and mineral structures affect methane and carbon dioxide hydrate formation. His work bridges fundamental surface science with practical energy applications, showing increasing emphasis on carbon dioxide storage mechanisms in recent years. His publications appear in high-impact journals including ACS Sustainable Chemistry & Engineering, Applied Surface Science, Applied Clay Science, and Langmuir. Young Director of International Association of Clay Minerals (AIPEA) (2025-2029) Young Director of Mineral Materials Branch of Chinese Ceramic Society (2023-2028) SUSTech 'Qiming' and 'Taiyi' Star Scientific Research Achievement Awards (2024) Top Ten Young Scholars' Report at 10th National Conference on Mineral Science and Engineering (2024) Excellent Presentation Awards at multiple international clay and mineral conferences Outstanding reviewer for Applied Clay Science journal As a Master's Supervisor, Dr. Li mentors graduate students in earth sciences and energy-related research. He has secured significant research funding including the China Postdoctoral Science Foundation, Guangdong Basic and Applied Basic Research Foundation, and Shenzhen Science and Technology Program. His current projects include the National Natural Science Foundation of China Youth Fund Project (2025-2027) focusing on unconventional energy resources. Dr. Li has participated in major infrastructure projects including the material genomics experimental facility in Shenzhen and the high-pressure neutron diffraction/imaging spectrometer at Chinese Spallation Neutron Source. Dr. Li's research integrates computational modeling with experimental techniques through collaborations with major research facilities. His work on in-situ visualization techniques connects with neutron source facilities, while his molecular simulation research requires high-performance computing resources. He serves on editorial boards for journals including Unconventional Resources and special issues on unconventional oil and gas, demonstrating leadership in his research community.

• Mineral Surface-Interface Interactions
• Gas Hydrates
• Unconventional Oil and Gas Resources
• +3 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.

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

Dr. Shuangshuang Xu is an Assistant Professor in the Department of Educational Studies, Academy of Future Education at Xian Jiaotong-Liverpool University. Her research integrates cultural developmental psychology with art-based methods, focusing on drama-in-education to explore and intervene in child development processes. B.S. in Applied Psychology, East China Normal University (2014) M.A. in Developmental and Educational Psychology, East China Normal University (2018) Ph.D. in Cultural Psychology, Aalborg University (2022) Her research investigates how cultural resources guide child development dynamically, emphasizing drama-in-education, social-emotional growth, and art-based qualitative approaches. Recent projects include play-based preschool curricula, computational thinking education, and home-school-community collaborations. Her publications span topics like social media compassion during the pandemic and Taoist Wu Wei in mindfulness. She has presented at conferences since 2019 and teaches advanced educational research methods. Excellent Graduates of Shanghai (2014) First-Class Scholarship, East China Normal University (2010-2013)

• Cultural Developmental Psychology
• Educational Intervention
• Drama-in-Education
• +4 more

Shangfei Wang is a full Professor at the School of Computer Science and Technology, University of Science and Technology of China (USTC). His research focuses on pattern recognition, affective computing, and probabilistic graphical models, with significant contributions to facial expression analysis, emotion recognition, and multimodal human-robot interaction. He leads the Key Laboratory of Computing and Communication Software of Anhui Province and has received multiple international competition awards including placements in the OMG Empathy Prediction Challenge and Detecting Depression with AI Sub-Challenge. PhD in Computer Science, USTC (2002) MSc in Electronic Science and Technology, USTC (1999) BSc in Electronic Engineering, Anhui University (1996) His work combines domain knowledge with advanced machine learning techniques, including adversarial learning, dual learning, and multimodal deep regression Bayesian networks. Research themes include: Emotion-aware medical consultation systems Thermal image-based facial recognition Privileged information learning for emotion detection Spontaneous vs. posed expression differentiation EEG and physiological signal integration AI applications in mental health support Key projects include multiple National Nature Science Foundation of China grants and international collaborations with French institutions. He serves as Associate Editor for IEEE Trans. on Affective Computing and ACM Trans. on Multimedia Computing, and organized several international conference tracks.

• Pattern Recognition
• Affective Computing
• Probabilistic Graphical Models
• +3 more

Liu Yan is an Assistant Professor and Doctoral Supervisor at the School of Environmental Science and Engineering, Southern University of Science and Technology (SUSTech). He joined SUSTech in September 2022 after completing postdoctoral research at University College London (2020-2022) and Texas Tech University (2018-2020), and was selected as a High-Level Talent of Shenzhen. His educational background includes: Ph.D. in Hydraulic Engineering (Modeling Sediment Transport) from Tsinghua University (2017) Joint Ph.D. in Civil and Environmental Engineering from Cardiff University (2014-2015) B.S. in Hydraulic Engineering from Tsinghua University (2012) Liu Yan's research focuses on eco-fluvial dynamics, with particular emphasis on the interactions among turbulence structures, sediment transport, and benthic organisms in natural water bodies. His work spans environmental fluid mechanics, hyporheic exchange processes, and ecological river dynamics, employing advanced numerical simulations and experimental approaches to investigate complex phenomena at the interface of physical and biological processes. His recent publications demonstrate a strong interdisciplinary focus that bridges engineering, environmental science, and ecology. His research investigates how turbulence structures affect sediment transport and benthic organisms, how hyporheic exchange influences water quality, and how ecological processes impact river morphology. This work has significant implications for understanding and managing aquatic ecosystems, particularly in the context of environmental change and human impacts on river systems. His scientific achievements have been recognized with several awards: Shenzhen High-Level Talents (Level C) Excellent Graduate of Tsinghua University Excellent Graduate of Universities in Beijing IAHR-SHCS Best Report Award Liu Yan serves as a Doctoral Supervisor and Principal Investigator for multiple research projects. He has secured significant funding including a National Natural Science Foundation of China General Program (CNY 530,000), a Guangdong Provincial Offshore Wind Power Joint Fund project (CNY 300,000), and a Shenzhen Municipal General Project (CNY 300,000). He also participates as a sub-project leader in the Ministry of Science and Technology's Key R&D Program (CNY 14.6 million). He actively recruits postdoctoral researchers, PhD, and Master's students for his research group focused on environmental fluid mechanics and eco-fluvial dynamics. He serves on professional committees including the Sediment Professional Committee of the Chinese Hydraulic Engineering Society and the Marine Geo-disaster and Geo-environment Committee of the International Consortium on Geo-disaster Reduction, and is a Young Editorial Board Member for the International Journal of Sediment Research.

• Environmental Fluid Mechanics
• Eco-fluvial Dynamics
• Hyporheic Exchange
• +3 more

Huang Li serves as an Associate Professor in the Department of Marketing at Hofstra University, USA. They were invited to present research at Tsinghua University's School of Economics and Management on June 6, 2025. Huang Li's research focuses on the psychological aspects of consumer interactions with digital interfaces, particularly examining how anthropomorphizing digital channels affects consumer perceptions and brand relationships. Their work explores the complex dynamics between reliability expectations, trust formation, and the unintended consequences of human-like characteristics in digital marketing environments. At Tsinghua University, Huang presented on 'Is reliability always a good thing? The unintended consequences of anthropomorphizing digital channels for consumers and brands,' highlighting cutting-edge research at the intersection of marketing psychology and digital technology. This presentation reflects Huang Li's scholarly contributions to understanding evolving consumer-brand relationships in increasingly humanized digital landscapes.

• Marketing
• Consumer Behavior
• Digital Marketing
• +2 more