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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 .

• Stem Cell Mechanobiology
• Bone Tissue Engineering
• Regenerative Medicine
• +3 more

Chao Liu is an Associate Professor at the Department of Biomedical Engineering , Southern University of Science and Technology (2024.11–present). Previously, he served as an Assistant Professor at the same institution (2019–2024.11) and completed a Postdoctoral Fellowship at New York University (2016–2019) with joint appointments in the Department of Biomedical Engineering and Orthopedics at NYU Langone Health . He holds a PhD in Biomedical Engineering (2016) and MASc in Mechanical Engineering (2010) from University of Toronto , following a BASc in Engineering Science (2008). Education : PhD (IBBME, U of Toronto, 2016), MASc (Mechanical Engineering, U of Toronto, 2010), BASc (Engineering Science, U of Toronto, 2008) His research focuses on mechanobiology of stem cells , bone tissue engineering , and functional implants . He investigates how mechanical forces modulate osteogenic and angiogenic stem cells, designs implants with micro-geometry to enhance cellular activity, and develops 3D real-time imaging modalities for bone repair processes. His work spans biomechanics , regenerative medicine , and cellular mechanotransduction . The selected publications from 2022 to 2010 reveal trends in mechanical force applications for bone regeneration, pharmacological impairments in healing, nanostructured biomaterials for stem cell differentiation, and microfluidic platforms for osteocyte studies. These works are published in journals like Bone , FASEB Journal , and ACS Applied Materials & Interfaces . Scientific Awards : International Conference BME Young Investigator Award (2019), IFMRS Travel Grant (2017), ASBMR Young Investigator Grant (2016), CIHR Travel Awards (2010–2014), Ontario Graduate Scholarship (2011–2013), Barbara and Frank Milligan Fellowship (2008, 2010) Chao Liu mentors graduate students, including Zhang Jianing (2022 Master’s graduate). His lab ( https://abtrl.bme.sustech.edu.cn/ ) recruits postdocs and research assistants for projects in mechanical force applications , micro-geometric implants , and 3D imaging . He has contributed to 14 journal articles with 714 citations and presented at 6 international conferences in the past three years.

• Solar Energy
• Thermochemical Conversion
• Carbon Capture
• +3 more

LIN Meng is an Associate Professor at the Department of Mechanical and Energy Engineering , Southern University of Science and Technology (SUSTech) . He holds a Ph.D. in Mechanical Engineering from Swiss Federal Institute of Technology in Lausanne (EPFL) (2018) and has held postdoctoral positions at Caltech's Joint Center for Artificial Photosynthesis (2018-2019). Research Interests include solar thermal/thermochemical/(photo)electrochemical energy conversion devices , CO2 capture and utilization , and multi-scale modeling and simulation . His work focuses on optimizing energy systems through advanced computational models and cross-disciplinary integration of physics. Recent Publications highlight his contributions to solar fuel processing, CO2 conversion technologies, and hybrid electrochemical systems, with articles in Nature Communications , Joule , and Energy & Environmental Science . His research emphasizes scalable solutions for sustainable energy and carbon management. Scientific Awards ASME Graduate Student Award (2018) Outstanding Reviewer of Solar Energy (2018, 2015) Swiss National Science Foundation Postdoc Fellowship (2017) Shanghai Outstanding Master Thesis (2016) Shanghai Jiao Tong University Outstanding Graduate (2013)

• 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.

Shutao MaView profile

Professor

• Medicinal Chemistry
• Antibacterial Drug Discovery
• Antibiotic Resistance
• +3 more

Shutao Ma is a Professor and Doctoral Supervisor at Shandong University's School of Pharmaceutical Sciences, serving as Director of the Department of Medicinal Chemistry since 2009. He has received the Special Government Allowance from China's State Council since 2002 and the seventh youth award of Shandong province for his contributions to medicinal chemistry. His academic credentials include: Ph.D. in Pharmaceutical Sciences, Shandong University (2004-2007) M.Sc. in Pharmaceutical Sciences, Shandong Medical University (1988-1991) B.Sc. in Pharmaceutical Sciences, Shandong Medical University (1981-1986) Professor Ma's research pioneers innovative strategies against antibiotic-resistant bacteria through three interconnected pillars: 1) Designing FtsZ/AcrB-targeted small molecules to disrupt bacterial cell division and efflux mechanisms; 2) Structural optimization of macrolides, glycopeptides, and lipopeptides to overcome resistance; 3) Total synthesis and mechanistic studies of marine-derived antibacterial natural products. His work bridges synthetic chemistry with microbiological validation to develop next-generation antimicrobials. Analysis of his 15 most recent publications (2014-2016) reveals a dominant focus on antibacterial drug discovery (87% of works), particularly FtsZ inhibitors (33%) and macrolide derivatives (27%). Emerging themes include quorum sensing modulation (7%) and antiviral/anticancer applications (13%), demonstrating strategic expansion while maintaining core expertise in resistance mechanisms. His scientific recognition includes: First prize of Shandong science and technology progress award (2000) Special government allowance from the State Council (2002) The seventh youth awards of Shandong province (2002) As a Doctoral Supervisor, Professor Ma mentors the next generation of medicinal chemists while directing a robust research program funded by 12 major grants. His National Natural Science Foundation portfolio (2004-2020) spans antibacterial discovery, while Shandong Provincial grants (2006-2017) and China-Australia collaborations (2014-2017) support translational development of resistance-breaking agents. Leading the Department of Medicinal Chemistry, he oversees a multidisciplinary team integrating synthetic chemistry, microbiology, and computational modeling to advance antibacterial drug candidates from concept to preclinical validation, with particular emphasis on FtsZ-targeted therapeutics and macrolide engineering.

• Quantum Dot Light-Emitting Diodes (QLEDs)
• Organic Light-Emitting Diodes (OLEDs)
• Device Physics
• +3 more

Prof. CHEN Shuming is a Tenured Professor and Doctoral Supervisor at the Department of Electronic and Electrical Engineering , Southern University of Science and Technology (SUSTech) . He has held academic positions since joining SUSTech in 2013 and was promoted to Professor in 2024. Education: PhD in Electronic and Computer Engineering (HKUST, 2012), Master in Optical Engineering (Sun Yat-sen University, 2008), Bachelor in Optoelectronics (South China University of Technology, 2005) Research Focus: Prof. Chen specializes in quantum dot light-emitting diodes (QLEDs) and organic light-emitting diodes (OLEDs) , with expertise in device engineering , device physics , and display/lighting applications . His work includes: Novel device structures (tandem, top-emitting, flexible) Charge transport and exciton dynamics Low-cost fabrication techniques (inkjet printing, laminating) Publication Trends: His recent papers address QLED stability , high-efficiency architectures , and AC-compatible devices , reflecting advancements in quantum dot technology and consumer electronics integration . Scientific Awards: Guangdong Natural Science Award (2024) Shenzhen Youth Science and Technology Award (2017) China Invention Association Innovation Award (2024) International Society for Information Display Outstanding Paper Award (2018) Advising and Grants: Prof. Chen has supervised 6 doctoral students, 5 master's students, and multiple undergraduates. He has led over 10 major projects, including National Natural Science Foundation grants and National Key R&D Program initiatives.

• Oceanic plate tectonics and dynamics
• Mid-ocean ridges
• Hotspots
• +11 more

Jian Lin is a Chair Professor in the Department of Ocean Science and Engineering at the Southern University of Science and Technology (SUSTech) , China. He is an internationally renowned geophysicist, member of the European Academy of Sciences , Academia Europaea , and Russian Academy of Natural Sciences . He has held distinguished positions at Woods Hole Oceanographic Institution (WHOI) and MIT/WHOI Joint Program in Oceanography , and is a leading expert in global oceanic plate tectonics, earthquake mechanics, and marine geophysics. Education: Ph.D. in Geophysics (1988), Brown University M.S. in Geophysics (1984), Brown University B.S. in Geophysics (1982), University of Science and Technology of China Research Focus: Prof. Lin's work spans computational geodynamics , marine geophysics , earthquake mechanics , and oceanic lithospheric evolution . His studies include mid-ocean ridges, subduction zones, hydrothermal systems, and tsunami dynamics. He has led over 20 international oceanographic expeditions and contributed to major discoveries such as the first hydrothermal vents on the Southwest Indian Ridge and high-resolution seismic imaging of the Mariana Trench. Scientific Recognition: Fellow, American Geophysical Union (AGU) Fellow, Geological Society of America (GSA) Fellow, American Association for the Advancement of Science (AAAS) Henry Bryant Bigelow Chair for Excellence in Oceanography Charles E. Culpeper Young Scientist Award Member (Academician), European Academy of Sciences Member (Academician), Russian Academy of Natural Sciences Member (Academician), Academia Europaea Advising & Mentorship: Prof. Lin has supervised numerous PhD and Master's students, including Shuqiao Zhong , Guanzhi Wang , and postdocs such as LaiYin Guo , Caicai Zha , and Yiming Luo . He has taught courses like Global Plate Tectonics , Intelligent Ocean Exploration , and Introduction to Oceanography . Laboratory & Leadership Roles: He has served as Chair of the InterRidge Program , an international initiative promoting deep-sea research. He has held editorial roles in top journals and served on advisory boards for major ocean science programs globally.

Mou BozhongView profile

Professor

• Microbial enhanced oil recovery
• Reservoir microbiology
• Interfacial chemistry
• +5 more

Professor Mou Bozhong is a full Professor and Doctoral Supervisor at the School of Chemistry and Molecular Engineering, East China University of Science and Technology (ECUST) . He serves as Director of the Engineering Research Center for Biorecovery, Ministry of Education and heads the Institute of Applied Chemistry . Recognized as a Foreign Academician of the Russian Academy of Engineering , he also sits on the editorial boards of five leading journals and is a member of key professional committees of the Chinese Chemical Society and Chinese Society of Microbiology. Education & Career Path B.Sc. (1982), Chengdu University of Technology M.Sc. (1989), China Coal Research Institute (Xi’an) – Geodrilling Fluid Chemistry Laboratory Ph.D. (1998), Southwest Petroleum University – Applied Chemistry/Interfacial Chemistry Postdoctoral Research (1998–2000), Ocean University of Qingdao Visiting Scholar, University of Wyoming, USA – Microbial Enhanced Oil Recovery (MEOR) Joined ECUST as Full Professor (January 2001–present) Research Interests Professor Mu’s interdisciplinary research integrates microbiology, interfacial chemistry, and petroleum engineering . He investigates microbial life in extreme reservoir environments , focusing on: Structure and function of biosurfactants and bio-based surfactants Anaerobic biodegradation pathways of petroleum hydrocarbons and associated biomarkers Microbial community dynamics in high-temperature, high-pressure reservoirs CO₂ biotransformation and biofixation by reservoir microorganisms for CCUS applications Microbially influenced corrosion (MIC) and mitigation strategies in oilfield systems Publication & Patent Trends His 200+ SCI-indexed articles and 50+ invention patents (32 authorized) reveal a trajectory from fundamental molecular simulation of lipopeptide surfactants to large-scale field demonstrations of MEOR and CO₂-EOR technologies. Notable themes include in-situ microbial community engineering, metabolic pathway reconstruction via multi-omics, and development of eco-friendly surfactants for enhanced energy recovery . Scientific Awards & Honors Foreign Academician, Russian Academy of Engineering Second Prize, National Science and Technology Progress Award (2010) First Prize, Shanghai Science and Technology Progress Award (2008) First Prize, China Industry-University-Research Cooperation Innovation Achievement Award Baosteel Outstanding Teacher Award National Teaching Achievement Award (Second Prize) Enjoys Special Government Allowance from the State Council Member, 11th & 12th Shanghai CPPCC Teaching & Mentoring Professor Mu delivers core undergraduate courses in Physical Chemistry and graduate courses in Biophysical Chemistry and Energy Biotechnology . He pioneered the nation’s first bilingual Physical Chemistry demonstration course and mentors students in chemistry, microbiology, and bioengineering, actively recruiting Ph.D. and Master’s candidates. Laboratory & Teams His laboratories (Room 225, Laboratory Building 3) house the Engineering Research Center for Microbial Enhanced Oil Recovery , equipped for molecular microbiology, interfacial chemistry, and pilot-scale bioprocess testing. The group collaborates with PetroChina, SINOPEC, and international partners to translate fundamental discoveries into field applications.

• Super-resolution microscopy
• 3D imaging techniques
• Biomedical Engineering
• +3 more

Yiming Li is an Associate Professor in the Department of Biomedical Engineering at Southern University of Science and Technology's School of of Engineering. His research focuses on cutting-edge 3D super-resolution imaging techniques and their biological applications, with expertise spanning optical instrumentation, theoretical optics, and advanced imaging algorithms developed during his postdoctoral work at EMBL and Yale University. Education: Ph.D. in Biophysics, Karlsruhe Institute of Technology (2010-2015) M.Sc. in Medical Physics, Heidelberg University (2009-2010) B.Eng. in Biomedical Engineering, Shanghai Jiao Tong University (2005-2009) Research Interests: Dr. Li specializes in developing advanced 3D super-resolution microscopy techniques with particular expertise in single-molecule localization microscopy , point spread function engineering , and real-time 3D imaging systems. His work bridges optical physics and biological applications, enabling nanoscale observation of cellular processes. His software earned first place in the SMLM Challenge 2016, the field's most prestigious software contest. Publication Trends: Dr. Li's research shows a clear progression from fundamental algorithm development to comprehensive imaging system design, with increasing emphasis on real-time 3D applications. His publications in Nature Methods, Nature Communications, and other high-impact journals demonstrate consistent innovation in super-resolution microscopy, particularly in point spread function calibration, aberration correction, and biological applications at the nanoscale level. Scientific Awards: National Overseas High-level Talents (Youth Program) (2020) Shenzhen Overseas High-level Talents Category B EMBL-EIPOD Marie Curie Postdoc Fellowship (2016-2019) Karlsruhe School of Optics and Photonics Fellowship (2010-2013) International Symposium on Biomedical Imaging Travel Grant (2013) Professional Activities: As a PhD supervisor at SUSTech, Dr. Li mentors graduate students in biomedical engineering. He serves as a reviewer for top journals including Nature Methods, Light: Science & Applications, and Optics Letters. His laboratory maintains active international collaborations with EMBL, Yale University, Oxford University, and Cambridge University, facilitating cross-institutional research in advanced imaging techniques. Research Laboratory: Dr. Li leads an active research group focused on next-generation imaging technologies, operating under the website https://li-lab-sustech.github.io/ . His laboratory combines theoretical optics, software development, and biological applications to push the boundaries of what's possible in optical microscopy for cellular and subcellular observation.

Liu HongyanView profile

Professor

• Big data management and analysis
• machine learning
• data mining
• +7 more

Professor Liu Hongyan is a full-time Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management, where he has served since 1994, achieving the rank of Professor in 2011 after previously holding positions as Associate Professor (2003-2011) and Teacher. His research bridges theoretical data science with practical applications across e-commerce, healthcare, and social media platforms. Education: PhD in Management, School of Economics and Management, Tsinghua University (2001) His research focuses on big data management , machine learning , and business intelligence with specialized expertise in personalized recommendation systems , medical/financial data analysis , and computer vision applications . Recent work integrates large language models and causal inference to solve complex problems in short video platforms, live streaming, and healthcare analytics, emphasizing real-world impact through industry collaborations. Analysis of his 15 most recent publications (2023-2025) reveals a strong trajectory toward multimodal AI systems combining recommendation engines with computer vision, particularly in 3D animation for advertising and healthcare. Key trends include LLM-enhanced display advertising, emotion-aware facial animation, and medical image annotation using adversarial learning, while maintaining core contributions to behavioral data mining in social networks. Scientific recognition includes: National Archives Administration's Outstanding Scientific and Technological Achievement Award Multiple Best Paper Awards at international conferences Outstanding Doctoral Dissertation Supervisor designation from the Society for Management Science and Engineering Special Award for National Natural Science Foundation project on user behavior pattern discovery Professor Liu has secured leadership roles in major National Natural Science Foundation projects including Innovation Research Groups and international cooperation initiatives. His industry impact is demonstrated through patented recommendation systems adopted by multiple companies, particularly in personalized content delivery for live streaming and short video platforms. As an Outstanding Doctoral Dissertation Supervisor, he mentors the next generation of data science researchers. He serves as Deputy Director of Tsinghua University's Center for Artificial Intelligence and Management Research and holds key positions in national academic societies including the E-Commerce and Cyberspace Management Committee (China Management Modernization Research Association) and the Information Systems Engineering Committee (Chinese Society for Systems Engineering).

• Additive Manufacturing
• Ceramics
• Nanocomposites
• +7 more

BAI Jiaming is an Associate Professor at the Department of Mechanical and Energy Engineering, College of Engineering, Southern University of Science and Technology (SUSTech). His research focuses on additive manufacturing (3D printing) of ceramics, nanocomposites, and functional materials, with applications in energy, biomedical engineering, aerospace, and electronics. Education: PhD (2014), MSc (2009), Loughborough University; BSc (2008), Beijing University of Chemical Technology Research interests: Development of high-speed 3D printing systems, additive design optimization, and industrialization of ceramic/nanocomposite manufacturing. His work bridges material science, structural engineering, and applied technologies. Recent publications highlight advancements in ceramic composites for biomedical and energy applications, graphene-based energy storage systems, and process innovations for zirconia and polymer composites. Key themes include material dispersion, thermal properties, and biomimetic design. Scientific Awards: Fellow of the Institute of Materials, Minerals and Mining (FIMMM); Top 2% Scientists worldwide Advising: Actively recruits postdoctoral fellows, PhD/Master's students, and research assistants. His group has secured over 10 national/provincial research grants. Labs: Affiliated with SUSTech’s Shenzhen Key Laboratory of Additive Manufacturing of High-Performance Materials, which focuses on overcoming industrial bottlenecks in metal/polymer/ceramic AM.

• Organic Synthesis
• Photoredox Catalysis
• Organoboron Chemistry
• +4 more

Zhe Dong is an Associate Professor (Researcher) and doctoral supervisor in the Department of Chemistry at the Southern University of Science and Technology . He obtained his B.S. from Peking University (2012), Ph.D. from the University of Chicago (2018), and conducted postdoctoral research under 2021 Nobel laureate David MacMillan at Princeton University (2018–2021). Current focus on photoredox-enabled organoboron chemistry and heterocycle functionalization Developed stereospecific coupling reactions for chiral quaternary carbon synthesis Innovated carbocation-carbanion substitution reactions and bioimaging probes His 15+ publications include Nature , JACS , and Nature Chemistry papers spanning: Photoredox-mediated deoxygenation Pd/NBE cooperative catalysis Protein hydrophobic pocket mapping Natural product total synthesis C-H bond functionalization strategies Scientific Recognition: National Scholarship for Outstanding Self-funded Students (2015) Reaxys PhD Prize Finalist (2017) University of Chicago Best Thesis Award (2018) Overseas High-level Talent Program (2020) Current funding includes Ministry of Science and Technology Key R&D Program (2021–2024) and participation in Peacock Team and Guangchuang Team research consortia.

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.

Shunxiang CaoView profile

Assistant Professor

• Fluid-Structure Interaction
• Computational Fluid Dynamics (CFD)
• Shock/Bubble Interaction
• +6 more

Shunxiang Cao is an Assistant Professor at Tsinghua Shenzhen International Graduate School in China, where he has worked since July 2022. He earned his Ph.D. in Aerospace Engineering from Virginia Tech (United States) between August 2014 and August 2020 and completed his B.S. in Aerospace Engineering at Beihang University (China) from September 2010 to May 2014. Prior to his current role, he served as a Postdoctoral Scholar at the California Institute of Technology (United States) from November 2019 to May 2022. Teaches courses such as Advanced Numerical Analysis, Numerical Methods for PDEs, and Fluid-Structure Interaction simulations. Research Interests include fluid-structure interaction, computational fluid dynamics, shock/bubble dynamics, material failure analysis, embedded-boundary methods, resolvent-based optimization, Kalman inversion, high-intensity focused ultrasound, and digital twin technology. His work focuses on numerical modeling, optimization, and fluid-solid coupling mechanisms in diverse applications like underwater propulsion, energy storage membranes, and medical acoustics. Scientific Awards include the USNCCM16 Conference Award (2021), Graduate Fellowship at Virginia Tech (2014-2015), Merit Undergraduate Student in Beijing (2014), and Singapore Technology Engineering Fellowship (2010-2013).

• Main Group Chemistry
• Organic Chemistry
• Inorganic Chemistry
• +4 more

Liu Leo Liu is an Associate Professor and tenure-track faculty member in the Department of Chemistry at Southern University of Science and Technology (SUSTech), Shenzhen, China, leading research on multi-active ambiphilic main group centers. He serves on editorial boards for Chem (2020-2023), European Journal of Inorganic Chemistry (since 2022), Chinese Chemical Letters (since 2022), Inorganic Chemistry Frontiers (since 2024), and Acta Chimica Sinica (since 2024). His educational background includes: B.Sc. in Chemistry, Xiamen University (2007-2011) Ph.D. in Organic Chemistry, Xiamen University (2011-2016) with joint study at UC San Diego (2013-2015) Post-doctoral Fellow, University of Toronto (2016-2019) under Prof. Douglas W. Stephan Post-doctoral Scholar, Lawrence Berkeley National Laboratory & UC Berkeley (2019-2020) under Profs. F. Dean Toste, Kenneth N. Raymond, and Robert G. Bergman Dr. Liu's research pioneers the synthesis of novel ambiphilic compounds across d- and p-block elements, integrating synthetic chemistry, computational modeling, and spectroscopy. His group develops multi-active centers that challenge textbook knowledge while enabling practical applications in catalysis and materials science. Key focus areas include low-valent carbon species, isolable carbenes, and main group element chemistry with inverted electronic configurations. His publication record demonstrates consistent innovation in ambiphilic main group chemistry, with recent breakthroughs in crystalline stannyne, σ0π2 carbenes, and carbyne anions featured in Science, Nature Chemistry, and JACS. These works reveal fundamental principles of bonding and reactivity while expanding synthetic possibilities for unconventional molecular architectures. Significant scientific recognition includes: Chinese Chemical Society Young Chemist Award (2022) Huang Yao-Zeng Metal Organic Chemistry Young Award (2023-2024) Distinguished Lectureship Award from Chemical Society of Japan (2024) Chinese Chemical Society-RSC Young Chemist Award (2024) World's Top 2% Scientists (2024) As a doctoral supervisor, Dr. Liu mentors graduate researchers and received SUSTech's Outstanding Graduate Supervisor Award (2025). His research is supported by National Natural Science Foundation grants including Original Exploration Program, Excellent Youth Fund (Overseas), General Program, and Youth Fund C Project. The LLL group maintains active collaborations with international institutions and contributes to major chemistry conferences through invited lectures on ambiphilic main group chemistry. The LLL group operates as a dynamic interdisciplinary team within SUSTech's chemistry department, combining experimental synthesis with computational analysis to explore frontier areas of main group element chemistry. Their work bridges fundamental discovery and potential applications in catalysis, materials science, and chemical synthesis.