جست‌وجوی استاد و پژوهشگر

• Marine Hydrodynamics
• Nonlinear Wave Theory
• Wave-Structure Interactions
• +۴ مورد دیگر

Dr. Feng Xingya is an Assistant Professor at the Department of Marine Science and Engineering , Southern University of Science and Technology (SUSTech), Shenzhen, China. He obtained his Ph.D. in Ocean Engineering from the National University of Singapore (NUS) in 2016 and held postdoctoral positions at NUS and the University of Oxford before joining SUSTech in 2019. His research focuses on marine hydrodynamics , nonlinear wave-structure interactions , and computational fluid dynamics , with applications in offshore renewable energy and oil & gas platforms. Ph.D., Ocean Engineering (2016), National University of Singapore B.Eng., Hydraulic Engineering (2011), Hohai University His work includes developing nonlinear potential flow models , numerical wave tank codes , and boundary element methods for analyzing wave interactions with floating systems. Recent projects involve marine renewable energy and machine learning tools for intelligent marine environment monitoring. Scientific contributions include the 2014 Outstanding Young Researcher Award at the KKHTCNN conference. He supervises Ph.D. students and leads a research group focused on marine hydrodynamics , offering opportunities for postdocs and doctoral candidates.

• Social dynamics
• distributed estimation and calculation
• distributed control
• +۲ مورد دیگر

Dr. Lili Wang serves as an Associate Professor at Southern University of Science and Technology (SUSTech), joining in May 2024 as an independent Principal Investigator and PhD advisor. Her research focuses on theoretical and applied control systems for intelligent sensor networks through interdisciplinary integration of control theory, optimization, and machine learning. Her academic foundation includes: PhD in Engineering and Applied Science from Yale University (2014-2020) Master's in Control Theory and Control Engineering from Zhejiang University (2011-2014) Bachelor's in Automation from Zhejiang University (2007-2011) Dr. Wang's research spans social dynamics , distributed estimation , distributed control , formation control for multi-agent systems , and distributed learning applications . Her work develops novel algorithms for networked control systems with applications in intelligent sensor networks and multi-robot coordination, emphasizing theoretical rigor and practical implementation. Analysis of her publications reveals consistent advancement in distributed observer design, formation control strategies, and consensus algorithms. Key trends include innovative applications of graph theory and spectral methods to multi-agent systems, with growing integration of learning techniques for adaptive control in uncertain environments. Her distinguished recognition includes: IEEE Senior Member (2024) Lillian Gilbreth Fellowships at Purdue University (2023) CPS Rising Star Award (2023) Henry Prentiss Becton Graduate Prize (2019) Zhang Siying Outstanding Paper Award (2012) As a PhD advisor at SUSTech, Dr. Wang mentors graduate researchers in control theory and its applications. She is currently founding COL-LABORATORY, a dedicated research team advancing control systems for intelligent sensor networks through interdisciplinary collaboration, with ongoing projects in distributed learning frameworks and robust multi-agent coordination.

• Flexible micro/nano electronics
• Printable devices
• Self-powered systems
• +۳ مورد دیگر

Dr. Yuanjing Lin is an Assistant Professor at the School of Microelectronics, Southern University of Science and Technology. Her research centers on nanostructured materials and fabrication techniques for printable/wearable electrochemical sensors and energy storage devices, with applications in self-powered systems, health/environmental monitoring, and intelligent robotics. Ph.D., Electronic and Computer Engineering, Hong Kong University of Science and Technology (2014–2018) Visiting Research Student, UC Berkeley (2018) B.Eng., Electronic Science and Technology, Nankai University (2010–2014) Her work bridges flexible electronics, self-powered sensing, and digital healthcare. She has contributed to over 50 publications in top journals like Nature , Nature Nanotechnology , and Science Advances , focusing on wearable biosensors, textile electronics, and energy storage systems. Articles highlight advancements in printable photonic materials, sweat-activated micro-batteries, and self-powered sensing systems, with trends in flexible micro/nano electronics, biomedical applications, and sustainable energy solutions. IAAM Fellow (2025) Nano Letters Early Career Board (2025) Nanoscale Emerging Investigators (2024) SUSTech Excellent Teaching Award (2023) iCanX Summit Best Paper Award (2022) Dr. Lin actively recruits graduate/postdoctoral researchers in sensors, flexible electronics, and biomedical engineering. She serves as Associate Editor for Frontiers in Nanotechnology and editorial board member for Nano Letters , Biosensors , and FlexMat .

Song Weiguoمشاهده پروفایل

استاد

• Pedestrian and evacuation dynamics
• Self-organized criticality of fire system
• Performance-based fire protection design of buildings
• +۳ مورد دیگر

Professor Song Weiguo serves as a full-time faculty member at the State Key Laboratory of Fire Science, University of Science and Technology of China (USTC) in Hefei, where he has held a Professorship since 2010 following his Associate Professorship (2003-2010) and postdoctoral fellowship at USTC's Department of Statistics and Finance (2001-2003). His international research experience includes a Guest Researcher position at the U.S. National Institute of Standards and Technology (NIST) during 2006-2007. His educational foundation comprises a PhD from USTC (2001) and specialized postdoctoral training in statistical finance. Research interests focus on pedestrian evacuation dynamics, fire system criticality, performance-based building fire protection, and remote sensing fire monitoring, with particular emphasis on complex systems modeling of crowd behaviors and fire spread phenomena. Analysis of his 2007-2011 publications reveals a dominant trend in microscopic pedestrian dynamics (60% of works), especially bottleneck flow, counter-flow, and exit selection behaviors, complemented by fire monitoring via remote sensing (22%) and weather-fire interaction modeling (18%). This portfolio demonstrates rigorous integration of experimental validation with computational modeling across fire safety disciplines. His scientific recognition includes: Huaxia Construction Award for Science and Technology (First-class, 2010) Lu Jia Xi Youth Excellence Prize (Chinese Academy of Sciences, 2009) National Liangxi Forestry Science and Technology Progress Award (Second-class, 2007) National Science and Technology Progress Award (Second-class, 2006) Chinese Academy of Sciences President Award Excellence (2001) Professor Song has secured significant research funding as principal investigator for three National Natural Science Foundation projects, three National Key Technologies R&D Program grants, and additional awards from the Ministry of Science and Technology and Ministry of Education. His role as Communication Expert for China's National Natural Science Foundation and reviewer for top journals like IEEE Transactions on Intelligent Transportation Systems reflects his leadership in fire safety science. Current projects likely involve mentoring graduate students through USTC's laboratory infrastructure. He remains actively engaged at USTC's State Key Laboratory of Fire Science, which serves as China's primary hub for interdisciplinary fire research, collaborating with international bodies like the International Association of Fire Safety Science while advancing evacuation modeling and fire monitoring technologies.

• Risk Communication
• Intelligent Communication
• Privacy Protection
• +۵ مورد دیگر

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)

• Macroeconomics
• International Economics
• Chinese Economy
• +۴ مورد دیگر

Yao Wen is a tenured Associate Professor and doctoral supervisor at Tsinghua University's School of Economics and Management, concurrently serving as Deputy Director of the University's Department of Liberal Arts Development. She holds affiliations with the China Finance 40 Forum as a Young Scholar. Before joining Tsinghua, she worked at the Bank of Canada and completed internships at the Federal Reserve Bank of New York and People's Bank of China. Research Focus: Her work centers on macroeconomics, Chinese economic transformation, and international finance. Key themes include structural shifts in employment, financial crisis transmission, income inequality, and neoclassical growth modeling. She employs quantitative methods to analyze policy impacts on China's development. Teaching Excellence: She teaches undergraduate, MBA, and doctoral courses including 'Principles of Economics' (national award-winning) and 'China's ESG Frontier Models.' Her executive education courses on economic fluctuations are highly regarded. Awards & Recognition: WILEY Highly Cited Paper (international recognition) Advanced Research Award & Advanced Worker Award (Tsinghua SEM) Teaching Rising Star Award (Tsinghua SEM) Research Leadership: She directs multiple national projects: NSFC grants on employment dynamics and income effects (2021-2024) Tsinghua research initiative on China's neoclassical growth (2024-2026) Policy studies for China's National Development and Reform Commission

• Carbon Dioxide Geological Sequestration
• Disaster Prevention in Rock Mechanics
• Numerical Software Development (FDEM)
• +۲ مورد دیگر

Shu-Gang Ai is a Research Assistant Professor at the Southern University of Science and Technology's School of Earth and Space Sciences. He holds a PhD in Civil Engineering from Tongji University (2021) and a Master's in Architectural and Civil Engineering from the same institution (2016). His research focuses on carbon dioxide geological sequestration, disaster prevention in complex rock masses, and finite element-discrete element numerical software development. His publications highlight expertise in geosynthetic reinforcement mechanics, landfill stability analysis, and computational geoscience. Recent work includes multiscale modeling of material interfaces and leachate distribution monitoring using geophysical methods. While no formal awards are listed, his contributions span both theoretical and applied studies in geotechnical and environmental engineering.

• Quantum physics
• Quantum simulation
• Quantum computation
• +۴ مورد دیگر

Yu He is a Researcher at the Institute of Quantum Science and Engineering, Southern University of Science and Technology (SUSTech) in Shenzhen, China, where he leads research on silicon-based quantum computing and quantum simulation. He joined SUSTech in March 2020 after international postdoctoral training. Education: Ph.D. in Physics, University of Science and Technology of China (2009-2015) B.S. in Atomic, Molecular and Optical Physics, University of Science and Technology of China (2005-2009) Research Focus: Dr. He specializes in semiconductor quantum technologies with emphasis on silicon-based atomic-scale devices, quantum simulation, and quantum networks. His work bridges experimental quantum optics, solid-state physics, and quantum information processing, particularly through quantum dot systems and dopant atoms in silicon for developing scalable quantum computing architectures. Publication Trends: His 27 publications demonstrate consistent focus on experimental quantum information science. Early work centered on high-purity single-photon sources using quantum dots. Recent breakthroughs include pioneering silicon-based quantum gates and quantum simulation platforms. Publications in Nature and Physical Review Letters frequently explore quantum measurement techniques, photonic quantum walks, and semiconductor qubit control. Awards and Honors: MIT Technology Review's 35 Under 35 Innovators (China) - 2020 Top Ten Quantum Computing Experiments in the World - 2019 Top Ten Scientific and Technological Advances in China - 2017 Laboratory Development: He directs a specialized quantum device laboratory at SUSTech developing STM-based nanofabrication and millikelvin measurement systems for silicon quantum processors. His team actively recruits postdoctoral researchers and engineers for projects in quantum dot manipulation, cryogenic electronics, and quantum chip design.

• Human-Computer Interaction
• Human-Robot Interaction
• Interaction Design
• +۶ مورد دیگر

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.

• Artificial Intelligence
• Evolutionary Algorithms
• Automatic Machine Learning
• +۴ مورد دیگر

Shengcai Liu is an Assistant Professor in the Department of Computer Science and Engineering at the Southern University of Science and Technology (SUSTech). Holding a PhD in Engineering, he has established himself as a researcher with over 10 publications as first or corresponding author in top artificial intelligence conferences and journals. His academic journey includes research positions at Singapore's Agency for Science, Technology and Research (A*STAR) before joining SUSTech's faculty. Education: PhD in Computer Science and Engineering, University of Science and Technology of China (2014-2020) Bachelor's in Computer Science and Engineering, University of Science and Technology of China (2010-2014) Dr. Liu's research centers on automatic algorithm design and evolutionary approaches to machine learning. He investigates how AI systems can autonomously construct efficient algorithms for complex optimization problems while maintaining robustness and reliability. His work bridges theoretical foundations with practical applications in combinatorial optimization, adversarial machine learning, and large language model development, with particular focus on making algorithm design processes more systematic and effective. His publication record demonstrates a clear trajectory from foundational work on algorithm portfolios to sophisticated integration of evolutionary methods with large language models. Recent work shows increasing focus on textual adversarial attacks, combinatorial optimization, and leveraging large language models as optimization tools themselves. This progression reflects both theoretical depth and practical relevance to current AI challenges. Professional Activities: Project Leader for Huawei-funded research on combinatorial optimization solvers (CNY 400,000) Member of IEEE, IEEE CIS, and AAAI Reviewer for top journals including TPAMI, TEVC, TCYB Conference reviewer for NeurIPS, ICML, AAAI, IJCAI Dr. Liu maintains active research collaborations through the Artificial Intelligence RAMS Technology Innovation Laboratory at SUSTech, where his team focuses on developing next-generation automatic machine learning systems with applications in optimization and security domains.

• Planetary atmospheres
• Exoplanet observations
• Martian atmospheric dynamics
• +۳ مورد دیگر

Siteng Fan is an Associate Professor in the Department of Earth and Space Sciences at Southern University of Science and Technology. His research focuses on planetary atmospheres, exoplanet observations, and Martian atmospheric dynamics, combining observational data from missions like TGO and EMM with climate models such as Mars PCM. Education: B.S. in Space Science and Technology from Peking University (2015), Ph.D. in Planetary Science from Caltech (2020). Research Interests: Dynamics of planetary atmospheres (Mars, Titan, Pluto), photochemistry, microphysical processes, and light curve analysis for exoplanet surface inversion. Scientific Awards: Xie Yibing Young Scientist Award (2023), Marie Skłodowska-Curie Postdoctoral Fellowship (2022), NSFC Excellent Young Scientists (Overseas) (2022). Publication Trends: Recent work spans Mars climate modeling, Pluto/Titan atmospheric haze, exoplanet proxy studies, and radiative transfer algorithms.

• Aerodynamic Noise Mechanism
• Flow and Noise Control
• Aerodynamic and Acoustic Testing Technology
• +۳ مورد دیگر

Liu Yu is a tenured Associate Professor at the Department of Mechanics and Aerospace Engineering , Southern University of Science and Technology (SUSTech). He holds a PhD in Aeronautical Engineering from the University of Cambridge (2008), an MSc (2004) and BSc (2001) from Beihang University. Academic Leadership: Deputy Head (Education) at SUSTech, Associate Fellow of AIAA, Fellow of Royal Aeronautical Society Research Grants: Led 18 projects totaling ~¥9.5M, including NSFC General Program and Guangdong High-Level University Fund His research focuses on: Aerodynamic Noise Mechanisms: Airfoil noise, UAV rotor noise, combustion noise modeling Flow Control: Structured porous materials, active/passive noise suppression Testing Technology: Microphone array design, deep learning sound source imaging Publication trends show specialization in: Flow-acoustic interaction modeling Composite structure noise transmission Combustion noise prediction Experimental aeroacoustics (60+ journals reviewed) Scientific recognition includes: Cambridge Gates Scholar National Scholarship for Outstanding Self-funded Students Stanford/Elsevier Top 2% Global Scientists in Aerospace Huawei Spark Award He established SUSTech's Advanced Aerodynamics and Aeroacoustics Laboratory , overseeing construction of Shenzhen's first-class Aerodynamic and Acoustic Wind Tunnel .

• Micro-interaction
• Interactive prototyping
• Formal methods of describing interactions
• +۵ مورد دیگر

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.

• Multiphase polymer systems
• Fiber reinforced composites
• Advanced functional composites
• +۲ مورد دیگر

Prof. Ke Wang is a faculty member at the Southern University of Science and Technology (SUSTech) since 2019, holding the title of Professor in the School of System Design and Intelligent Manufacturing. With a Ph.D. in Polymer Chemistry and Physics from Sun Yat-Sen University (2000), he also holds graduate degrees in Polymer Chemistry (M.Sc., USTC 1990) and Chemistry (B.Sc., Zhengzhou University 1984). Education: Ph.D., Polymer Chemistry and Physics, Sun Yat-Sen University (2000) M.Sc., Polymer Chemistry, University of Science and Technology of China (1990) B.Sc., Chemistry, Zhengzhou University (1984) His research focuses on polymer composites for advanced applications, including: Multiphase polymer systems Fiber reinforced composites Advanced functional composites Energy materials Electronic ceramics Recent publications highlight his work on: Polymer electrolytes for lithium batteries Thermoset composites with ultra-low dielectric loss Thermal conductivity enhancement in polymer matrices Flame-retardant materials for energy storage Composite materials for microelectronics Nanoporous functional materials in battery applications Contact Information: Email: wangk7@sustech.edu.cn Office: Room 305, Block 1, Innovation Valley, SUSTech, Shenzhen Phone: 0755-88015547

• Molecular Electronics
• Micro & Nano-fabrication techniques
• Surface-enhanced Raman Spectroscopy
• +۱ مورد دیگر

Junyang Liu serves as an Associate Professor in the Department of Chemical and Biochemical Engineering at Xiamen University's College of Chemistry and Chemical Engineering since 2020, with research centered on molecular-scale electronic systems and nanofabrication techniques. His work bridges chemistry, materials science, and nanoelectronics through experimental investigations of molecular junctions and surface phenomena. Education: PhD in Physical Chemistry, Xiamen University (2010-2016) BS in Chemistry, Xiamen University (2006-2010) Research Interests: Dr. Liu's expertise spans Molecular Electronics , where he pioneers charge transport studies in single-molecule devices; Micro & Nano-fabrication techniques for precision molecular assembly; Surface-enhanced Raman Spectroscopy for molecular characterization; and Nanoelectrochemistry exploring electrochemical interfaces at nanoscale. His recent work demonstrates electric-field control of molecular reactions and supramolecular diode development, revealing fundamental mechanisms in molecular-scale electronics. Publication Trends: Analyzing his 15 recent publications (2019-2025), Liu's research shows a clear evolution from foundational quantum interference studies toward applied molecular intelligence systems and catalytic applications. His work consistently appears in premier journals like Journal of the American Chemical Society and Nature Communications , with recurring themes of molecular junction engineering, electric-field manipulation, and spectroscopic characterization across chemistry, materials science, and nanotechnology disciplines. Scientific Awards: No scientific awards were documented in the provided source material. Advising and Grants: The source text contains no explicit information regarding graduate student mentorship, research grants, or funded projects. Labs and Teams: Liu conducts research within Xiamen University's Tan Kah Kee Innovation Laboratory (Room 1#203) and Chemistry Building (Room 495), collaborating extensively with Professor Wenjing Hong's group on molecular electronics initiatives.