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Wei ZhangView profile

Professor

• Control Theory
• Optimization Theory
• Machine Learning
• +5 more

Wei Zhang is a tenured Professor at the Southern University of Science and Technology (SUSTech) , Shenzhen, China, and a Senior Member of IEEE. He serves as Associate Editor for IEEE Transactions on Control System Technology and leads the CLEAR Lab (Control & Learning for Robotics and Autonomy) within the School of Automation and Intelligent Manufacturing (AiM). His career spans institutions including the University of California, Berkeley (postdoc), and The Ohio State University (Assistant/Associate Professor). Education: PhD in Electrical Engineering from Purdue University (2009), MS in Electrical and Computer Engineering from University of Kentucky (2005), BS in Automation from University of Science and Technology of China (2003) Research Interests focus on integrating control theory, optimization, and machine learning to develop intelligent systems. Key areas include: Legged Robots: Dynamic locomotion control, bio-inspired gait design, and push recovery mechanisms Autonomous Systems: Real-time motion planning, obstacle avoidance, and safe navigation in adversarial environments Smart Grids: Distributed control for energy systems and transactive energy optimization Machine Learning: Reinforcement learning for robotics, Q-learning convergence analysis, and hybrid control-learning frameworks Publication Trends highlight interdisciplinary work at the intersection of robotics and control systems. His recent 2024 papers address: Whole-body control for wheeled-quadrupedal robots Geometric object pose refinement in computer vision Task-space Riccati feedback for underactuated systems Teacher-student reinforcement learning architectures Scientific Awards include: 2016 : NSF CAREER Award 2015 : Lumley Research Award (Ohio State University) 2013 : AFOSR Summer Faculty Fellowship 2018 : National Distinguished Expert (Young, China) 2019 : International Underwater Robot Competition 2nd Prize (team advisor) Academic Leadership involves editorial roles at IEEE Transactions on Control System Technology and IEEE Transactions on Power Systems. His lab provides state-of-the-art robotics platforms including quadruped robots, Kuka manipulators, and UAVs for algorithm validation. Research collaborators span The Ohio State University , UC Berkeley , CMU , and The University of Hong Kong .

• Big Data
• Complex Networks
• Graph Neural Networks
• +1 more

Dr. Yanqing Hu is an Associate Professor at the Department of Statistics and Data Science, School of Science, Southern University of Science and Technology (SUSTech). With a Ph.D. in Systems Theory from Beijing Normal University (2011) and postdoctoral experience at the Levich Institute, City University of New York (2011-2013), his work focuses on big data analysis of complex systems, particularly in social media dynamics, network resilience, and graph neural network applications. Ph.D.: Beijing Normal University (Systems Theory, 2011) Postdoctoral: Levich Institute, CUNY (2011-2013) Research spans complex network analysis, information spreading mechanisms, and predictability of network structures. His work combines theoretical frameworks with real-world applications in social networks, infrastructure systems, and brain connectivity. Recent publications explore information percolation in social media, resilience quantification in interdependent networks, and intrinsic structure predictability. These studies appear in high-impact journals like Nature Human Behaviour (IF: 24.3), Nature Communications (IF: 17.7), and PNAS (IF: 10). World AI Conference Youth Outstanding Paper Nomination Beijing Outstanding Doctoral Dissertation Award Guangdong Special Support for Young Talents Guangdong Outstanding Youth Fund Collaborations include leading researchers from Boston University, King's College London, and Shenzhen-Hong Kong Institute of Microelectronics. His work informs network defense strategies and efficient navigation mechanisms in complex systems.

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

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
• Media Phenomenology
• Philosophy of Technology
• +2 more

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.

Andrew I. CooperView profile

Professor

• Advanced organic functional materials
• Conjugated microporous polymers
• Porous organic cages
• +5 more

Andrew I. Cooper is a Professor at the University of Liverpool, Director of the Materials Innovation Factory, and Honorary Professor at East China University of Science and Technology (ECUST). He pioneers research in advanced organic functional materials, including conjugated microporous polymers, porous organic cages, and porous liquids, and developed the first autonomous mobile robotic chemist. Fields of Interest: Materials chemistry, robotics, AI-driven synthesis, and computational design of functional materials. Scientific Impact: Over 200 SCI-indexed papers, 52,000+ citations, H-index 117. Key journals: Nature , Science , JACS , Angewandte Chemie . Awards: Royal Society of Chemistry Professorship, Outstanding AI Leader award, Fellow of the Royal Society and European Academy of Sciences. Leadership: Editor-in-Chief of Chemical Science , trained 47 Chinese postdoctoral fellows and PhD students, and leads international collaborations with Chinese universities. Research Trends: Articles focus on robotics, AI, computational materials design, photocatalysis, and dynamic porosity in molecular systems.

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

• Human-Computer Interaction
• Design
• Interactive Systems
• +4 more

Pengcheng An is an Assistant Professor at the School of Innovation and Creative Design at Southern University of Science and Technology (SUSTech) in Shenzhen, China. His research sits at the intersection of Design and Human-Computer Interaction (HCI), focusing on the design and implications of intelligent interactive systems in everyday contexts such as smart classrooms, offices, and other learning environments. Education: Ph.D. in Industrial Design, Eindhoven University of Technology, Netherlands Postdoctoral Research, Eindhoven University of Technology Postdoctoral Research Fellow and Sessional Lecturer, School of Computer Science, University of Waterloo, Canada An's research interests center on creating interactive systems that enhance learning, education, and support for children, families, and underprivileged groups. His work explores how emerging technologies like IoT, intelligent systems, and multimodal interfaces can be seamlessly integrated into real-world settings to improve user experiences without disrupting natural workflows. He particularly focuses on peripheral and unobtrusive interaction techniques that support busy practitioners like teachers and healthcare workers. His publication record demonstrates consistent contributions to top-tier HCI venues, with a focus on educational technology applications, assistive systems, and novel interaction techniques. The research trajectory shows increasing sophistication in understanding real-world deployment challenges and developing solutions that respect existing workflows while providing meaningful augmentation. Scientific Awards: Best Paper Honorable Mention Award (ACM CHI) Reviewers' Choice Award (INTERACT) Red Dot Design Award: Best of the Best (twice) iF Design Talent Award An serves as an active member of the HCI community, having been Associate Chair for the "Learning, Education, and Family" track at ACM CHI since 2021. He has secured research funding including a National Social Science Fund Youth Project exploring AI technology in art therapy for special children. His service extends to reviewing for major conferences (CHI, DIS, TEI, IDC) and journals (Behavior & Information Technology, Experimental Results). His laboratory work focuses on real-world deployments of interactive systems, particularly in educational settings, where he collaborates with teachers and students to develop and evaluate technologies that support learning without disrupting classroom dynamics.

• Digital Economy
• Social Welfare
• Consumer Behavior
• +6 more

Dr. Shaobo (Kevin) Li is a Tenured Associate Professor at the School of Business, Southern University of Science and Technology (SUSTech), with secondary appointment in the Department of Information Systems & Management Engineering. He holds a PhD in Business Administration from Nanyang Technological University (2019), Master of Business Administration (University of Virginia, 2014), Master of Finance (West Virginia University, 2012), and Bachelor of Business Administration (Lanzhou University, 2011). National High-Level Youth Talent Program awardee Overseas High-Caliber Personnel in Shenzhen City Recipient of 2018 China Scholarship Council’s Excellent Self-Funded Student Scholarship His research focuses on the intersection of digital economy, social welfare, and technology-driven marketing, employing experimental methods, empirical models, and neuroscience. He serves as Associate Editor for the Journal of Business Research and has published in top UTD-24 journals including Journal of Consumer Research, Information Systems Research, and Production and Operations Management. His work examines platform economics, brand management during crises, and consumer behavior related to AI, sustainability, and health decisions. He has led 10+ research projects (National Natural Science Foundation, Ministry of Science and Technology 2030 Program) and received multiple research awards, including Academy of Marketing Science Best Doctoral Dissertation Proposal Award (2019) and Best Paper Awards at China Marketing Science (2020,2024), China Marketing International Conference (2023), and CMAU Annual Conference (2023,2024). Teaching accolades include SUSTech’s Premier Teaching Award, Top 10 Most Popular Professor among undergraduates, and Nanyang Business School’s Best Graduate Teaching Award (2017). Teaches Financial Marketing (undergraduate) Teaches Frontiers of Management & Research Methods (PhD) Actively recruiting research assistants, postdocs, and joint PhD candidates with Hong Kong Polytechnic University

• Marine Geophysics
• Seismotectonics
• Oceanic Crust Formation
• +3 more

Yongshun Chen is a Chair Professor at Southern University of Science and Technology (SUSTech), where he serves as the founding director of the Department of Marine Science and Engineering. Previously, he was a Professor at Peking University's School of Earth and Space Sciences and an Associate Professor at Oregon State University's Institute of Oceanography. He is currently the President of InterRidge, the international association for mid-ocean ridge studies. Chair Professor, Southern University of Science and Technology (2013-present) Professor, Peking University, School of Earth and Space Sciences (2001-2013) Associate Professor, Oregon State University, Institute of Oceanography (1990s-2001) PhD in Geophysics, Princeton University (1989) Bachelor's degree in Geophysics, University of Science and Technology of China (1982) Professor Chen's research focuses on marine geophysics and seismotectonics, with particular emphasis on the dynamics of oceanic spreading plate boundaries and the formation mechanisms of the oceanic crust. His pioneering work has provided explanations for seismic observations of mid-ocean ridges and continental ophiolite suites. After returning to China in 2001, he pioneered the field of "seismic geotectonics" in mainland China, conducting mobile seismic array observations and developing seismological methods to study the three-dimensional structure of the crust and upper mantle in key tectonic regions. His research has led to several significant contributions, including the "corner flow" model for the asthenosphere in southern Tibet, a new model of Indian lithosphere subduction beneath Tibet, and a "local upper mantle convection model" to explain intraplate volcanism in Northeast China. His work has had substantial impact on the international geoscience community, with his oceanic crust formation model being widely adopted by marine geologists. Professor Chen has published over 130 academic papers with more than 2,038 citations, including a single paper with 270 citations. His research spans marine geophysics, seismic tomography, crustal and mantle structure, plate tectonics, and volcanic processes, with a particular focus on the Tibetan Plateau and Northeast China. National Science Fund for Distinguished Young Scholars (2002) Editor-in-Chief of Marine Geophysical Researches (2004-2008) Editor of Journal of Geophysical Research-Solid Earth Reviewer for the Earth Science Department of the National Natural Science Foundation of China Professor Chen has supervised numerous graduate students and postdoctoral researchers. He has led more than ten major research projects, including those funded by the National Natural Science Foundation of China, 973 and 863 programs of the Ministry of Science and Technology, and special projects for earthquake research. His research group utilizes advanced seismic techniques and collaborates with international institutions to study Earth's structure and dynamics. As the founding director of the Department of Marine Science and Engineering at SUSTech, Professor Chen has established research teams focusing on marine geophysics, ocean dynamics, and seafloor exploration. His department conducts field observations using mobile seismic arrays and collaborates on international ocean drilling programs to advance understanding of Earth's structure and evolution.

• Theoretical Kinematics
• Screw Theory
• Lie Algebra
• +7 more

DAI Jiansheng is a Chair Professor at Southern University of Science and Technology (SUSTech) and Director of the Robotics Research Institute. He is a Fellow of the Royal Academy of Engineering (FREng), Fellow of the Academia Europaea, and holds multiple fellowships including IEEE, ASME, RSA, and IMechE. As Editor-in-Chief of the international journal Robotica, he has established himself as a leading authority in mechanisms and robotics research. His educational background includes a PhD from the University of Salford (1989-1993), a Master's degree from Shanghai Jiao Tong University (1982-1984), and a Bachelor's degree from the same institution (1978-1982). His academic journey has taken him from postdoctoral work at Salford University to research positions at Unilever Liverpool Research Centre before becoming a faculty member at the University of Sunderland and ultimately King's College London, where he served as Reader and then Chair Professor from 2007 until his current position at SUSTech. Professor Dai's research spans theoretical kinematics, screw theory, Lie algebra, and their applications to metamorphic and reconfigurable mechanisms. His pioneering work bridges the gap between versatile but expensive robots and efficient but non-flexible machines. His research interests include origami-inspired robotics, rehabilitation robotics for ankle treatment, soft robotics, and industrial applications in packaging and manufacturing. His theoretical framework has enabled significant advances in reconfigurable parallel mechanisms and metamorphic robotics. His extensive publication record shows a clear progression from fundamental theoretical work on screw algebra and Lie groups to practical applications in rehabilitation, manufacturing, and soft robotics. Recent publications demonstrate increasing focus on soft robotics, variable stiffness actuators, and continuum robots with Shape Memory Alloy applications, while maintaining strong theoretical foundations in screw theory and kinematic analysis of metamorphic mechanisms. ASME Mechanisms and Robotics Award (2015) ASME Machine Design Award (2020) IFToMM Excellence Award (2023) Tianjin Municipal Natural Science First Prize (2021) Crossley Award (2018) AT Yang Award in Theoretical Kinematics (2019) Professor Dai has supervised over 50 PhD students who now hold faculty positions at world-leading universities including University College London, Queen Mary University London, Purdue University, and Wollongong University. His research has been supported by numerous grants enabling the establishment of advanced robotics laboratories and international collaborations. He founded the IEEE Triennial International Conference on Reconfigurable Mechanisms and Robots (ReMAR), creating a major platform for international scholarly exchange in this specialized field. His research group maintains strong industry partnerships with companies including Cambridge Consultants, Goldman Sachs, and Amazon. The Robotics Research Institute he directs at SUSTech serves as a hub for interdisciplinary research, bringing together experts in mechanical engineering, computer science, biomedical engineering, and materials science. The institute focuses on both fundamental theoretical advances in mechanism design and practical applications in healthcare, manufacturing, and service robotics, with particular emphasis on metamorphic and reconfigurable systems that can adapt to multiple tasks.

• 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.

• Environmental Geochemistry
• Biogeochemistry
• Contaminant Transport and Remediation
• +3 more

Chongxuan Liu is Chair Professor at the Southern University of Science and Technology (SUSTech) , affiliated with the School of Environmental Science and Engineering and the Department of Environmental Science and Engineering. Previously, he served as Chief Scientist at the U.S. Department of Energy's Pacific Northwest National Laboratory (PNNL) from 2006–2016 and as a part-time scientist there since 2015. His research integrates theoretical, experimental, and simulation approaches to study pollutant kinetics, multi-scale reactive transport, microbial community evolution, and nanomaterials for environmental remediation. Ph.D. in Environmental Engineering, Johns Hopkins University M.S. in Low-Temperature Aqueous Geochemistry, University of Alabama M.E. in Hydrogeochemistry and B.S. in Geology, Zhejiang University Liu’s research focuses on environmental geochemistry and biogeochemistry , particularly the kinetics of contaminant transformation , multi-scale reactive transport theories , and microbial/nanomaterial-based remediation technologies . His work addresses uranium, arsenic, and nitrate contamination in groundwater-sediment systems, employing cybernetic modeling, pore-scale simulations, and watershed-scale hydro-biogeochemical studies. His recent publications (2014–2016) emphasize uranium adsorption mechanisms , nanoparticle transport dynamics , and coupled biogeochemical-hydrological processes . Articles span journals like Environmental Science & Technology , Geochimica et Cosmochimica Acta , and Water Resources Research , reflecting expertise in contaminant transport, microbial remediation, and nanotechnology. Scientific accolades include Fellow of the Geological Society of America (2011) U.S. Department of Energy Outstanding Contribution Award (2004) He has authored over 170 peer-reviewed articles, with an H-index of 51 (8,000+ citations), and served as Associate Editor-in-Chief for ACS Earth and Space Chemistry . His lab at SUSTech trains undergraduate, master’s, and Ph.D. students, with recent publications by Li Qianqian (master’s student) and collaborations across environmental molecular sciences, computational modeling, and nanomaterial synthesis.