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Dr. Jiamin Li is an Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech), Shenzhen, China. She holds a Ph.D. and B.Eng. in Electrical and Computer Engineering from the National University of Singapore (NUS). Her research focuses on biomedical integrated circuits, energy harvesting, and wireless body-area networks. Education: Ph.D. and B.Eng. in Electrical and Computer Engineering from NUS Employment: Associate Professor (2024–Present), Assistant Professor (2022–2024) at SUSTech; Research Fellow at NUS Dr. Li's research addresses wireless body area powering , low-power biosignal interfaces , and intelligent biosignal processors . Her work leverages microsystem design for applications in biomedical engineering , particularly in energy-autonomous medical devices and human body-coupled communication . Her recent publications highlight advancements in concurrent power/data transmission , subharmonic pulse injection , and triboelectric energy harvesting for biomedical systems. Key venues include IEEE JSSC , Nature Electronics , and conferences like ISSCC and BioCAS. Awards: IEEE SSCS Predoctoral Achievement Award, ISSCC Best Demo Award, ASSCC SDC Best Design Award Committees: IEEE SSCS Women-in-Circuit (WiC) Committee, ISSCC Student Research Preview Committee Opportunities: Positions available for Ph.D., Master's, Postdoctoral Fellows, and Visiting Scholars

• Integrated Circuit Design
• Biomedical Microsystems
• Low-Power Sensor Interfaces
• +3 more

Dr. Yi-Feng Chen is a Research Assistant Professor and Master's Supervisor in the Department of Biomedical Engineering at the Southern University of Science and Technology (SUSTech) in Shenzhen, China. He joined SUSTech as a postdoctoral fellow in November 2020 and was promoted to Research Assistant Professor in February 2023. His academic journey includes interdisciplinary training across engineering, neuroscience, and biomedical applications. Dr. Chen's educational background includes: Ph.D. in Engineering from Wuhan University of Technology (2014-2017), supervised by Professor Quan Liu M.Sc. from Wuhan University of Technology (2011-2014), supervised by Professor Zhou Zude B.Sc. from Wuhan University of Technology (2007-2011) He also participated in exchange programs at Yuan Ze University in Taiwan (2012) and the University of Auckland in New Zealand (2015). Dr. Chen's research spans the intersection of biomedical engineering, neuroscience, and artificial intelligence, with particular focus on brain-computer interfaces and rehabilitation technologies. His work combines advanced signal processing techniques with clinical applications, especially in decoding neural signals for movement intention and monitoring brain states during anesthesia. His research has significant implications for neurorehabilitation, assistive technologies, and intraoperative neurophysiological monitoring. His recent publications demonstrate a clear trajectory toward increasingly sophisticated neural decoding techniques, with a focus on coordinated limb movements and practical rehabilitation applications. The work shows progression from basic EEG signal processing to complex bimanual movement decoding and robot-assisted rehabilitation systems, reflecting a translational research approach from basic science to clinical applications. Dr. Chen has secured significant research funding as principal investigator and core contributor on multiple projects: National Natural Science Foundation of China Youth Science Fund Project (2024-2026) Guangdong Natural Science Foundation General Project (2024-2026) Ministry of Science and Technology National Key R&D Program Project (2023-2026) Shenzhen Science and Technology Innovation Commission Key Project (2022-2025) As a Master's Supervisor, Dr. Chen mentors graduate students in biomedical engineering with focus on neural engineering and rehabilitation robotics. His laboratory collaborates closely with clinical partners to ensure research relevance to real-world medical challenges, particularly in neurorehabilitation and intraoperative monitoring.

• Brain-computer interface
• Rehabilitation Robotics
• 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 .

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

• Stem Cell Mechanobiology
• Bone Tissue Engineering
• Regenerative Medicine
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JIANG Xingyu is Chair Professor and Head of the Department of Biomedical Engineering at the Southern University of Science and Technology (SUSTech) . Since 2018 he has led a multidisciplinary team developing advanced micro- and nano-scale tools for analytical chemistry, microfluidics and nanomedicine. Education Postdoctoral Research, Harvard University (2004–2005) Ph.D. in Chemistry, Harvard University (2004) B.S. in Chemistry, University of Chicago (1999) Research Interests Professor Jiang’s research integrates analytical chemistry , microfluidics , biomedical engineering and nanomedicine . His laboratory designs microfluidic chips for point-of-care diagnostics, engineers gold nanoclusters and nanoparticles for antimicrobial and anticancer therapy, and develops soft flexible bio-electronics for neural interfaces and wearable health monitoring. Across 400+ publications, recent work demonstrates a clear trend toward translational nanomedicine : point-of-care viral variant detection, nanoantibiotic strategies against multidrug-resistant bacteria, CRISPR delivery systems for cancer therapy, and conformal electronic tattoos for human-machine interfaces. Scientific Awards & Honours Fellow, American Institute for Medical and Biological Engineering (2020) Fellow, Royal Society of Chemistry (2016) Tencent Science Exploration Award (2019) Chief Scientist, National Key R&D Program (2019–) National Science Fund for Distinguished Young Scholars (2010) Young Investigator Award, Human Frontier Science Program (2007) Research Funding & Teams He currently directs the Nanoscience Laboratory at SUSTech, hosts National Key R&D Program projects as Chief Scientist, and serves on editorial boards of Advanced Healthcare Materials , Lab on a Chip , Nanoscale Horizons , Nanoscale and Nanoscale Advances . The group is actively recruiting post-docs, research professors and technicians across chemistry, materials, biology and medical engineering disciplines.

• Analytical Chemistry
• Microfluidics
• Biomedical Engineering
• +2 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)

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

Professor Yongbo Xiao serves at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. His academic journey includes a BEng in Management Information Systems (2000), Master/PhD in Management Science and Engineering (2006), and postdoctoral research in applied economics at Tsinghua University. 2000: BEng in Management Information Systems 2006: Master/PhD in Management Science and Engineering 2006-2008: Postdoctoral Fellow in Applied Economics His research spans revenue management, pricing strategies, operations/supply chain management, and service systems. Recent work explores live-streaming e-commerce dynamics, supply chain resilience, and platform co-opetition models. Articles appear in top journals including Operations Research , Production and Operations Management , and Naval Research Logistics . Notable awards include National Natural Science Foundation Outstanding Young Scholars Fund, Changjiang Scholar Young Scholars recognition, and multiple Tsinghua University teaching/research honors. He serves as Associate Editor-in-Chief for Naval Research Logistics and Executive Editor for Journal of Systems Science and Systems Engineering . 2024: China Aviation Association Second Prize 2023: Huawei Collaborative Innovation Award 2022-2024: Tsinghua EMBA/Executive Education Teaching Excellence Professor Xiao teaches undergraduate Operations Research, Master's-level Operations Research & Optimization, and MBA courses including Data Models & Decisions, Operations Management, and ESG Frontier Exploration. His work bridges theoretical operations research with practical applications in digital commerce and supply chain innovation.

• Revenue Management
• Pricing Management
• Operations Management
• +5 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.

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

Hua Chen is an Associate Researcher and PhD Supervisor at the School of Quantum Science and Engineering at Southern University of Science and Technology (SUSTech), with extensive experience in quantum computing circuit design and MEMS sensor interfaces. Previously, he served as an Associate Researcher at the Institute of Microelectronics, Chinese Academy of Sciences (2021-2022) and as an Assistant Researcher there from 2017-2021, building on his industry experience as an RF/Analog IC Design Engineer at Southwest Integrated Circuit Design Co., Ltd (2007-2010). Education: Ph.D. in Microelectronics and Solid-State Electronics, University of Chinese Academy of Sciences (2014-2017) M.Eng. in Electronic and Communication Engineering, University of Chinese Academy of Sciences (2011-2014) B.Eng. in Microelectronics, Chongqing University of Posts and Telecommunications (2003-2007) Dr. Chen's research focuses on interface circuit design for quantum computing and MEMS sensors, with particular expertise in high performance analog/RF/mixed-signal IC design. His recent work has shifted toward cryogenic circuit design for quantum bit control and readout systems, representing a strategic pivot toward China's national priority in quantum information technology. His publications reveal a consistent trajectory from MEMS gyroscopes and oscillators toward quantum computing hardware support circuits, demonstrating his ability to adapt expertise to emerging technological frontiers. Dr. Chen's research output shows a clear evolution from traditional MEMS sensor interfaces toward quantum cryogenic electronics, with his 15 most recent publications heavily concentrated in cryogenic circuit design for quantum applications. This represents a strategic shift aligning with China's substantial investment in quantum computing research, particularly in the development of control and readout electronics for scalable quantum systems. His significant honors include: Special talent of Shenzhen's Pengcheng Peacock Plan (January 2024) IEEE Senior Member (February 2022) Intellectual Property Specialist of Chinese Academy of Sciences (January 2020) Outstanding Employee (Top 10%) at Institute of Microelectronics CAS (2020) Multiple Graduate Student Scholarships from Institute of Microelectronics CAS (2015-2017) As a PhD Supervisor at SUSTech, Dr. Chen mentors graduate students in quantum circuit design while leading research funded through multiple sources including a Beijing Natural Science Foundation General Project (RMB 200,000) for RF MEMS disk oscillator drive circuits and a Youth Project (RMB 100,000) for MEMS gyroscope phase alignment. He has also participated in major national projects totaling over RMB 27 million, demonstrating his integration into China's strategic research initiatives. Dr. Chen leads a research group at the International Quantum Academy in Shenzhen focused on cryogenic CMOS integrated circuit design for quantum computing applications. His team develops specialized low-temperature measurement and control chips that address critical challenges in scaling quantum computing systems, with particular emphasis on MEMS-based quantum frequency references and cryogenic amplifiers that operate at temperatures near absolute zero.

• Quantum Computing
• MEMS Sensors
• Analog Circuit Design
• +5 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
• Intelligent Communication
• Digital Media Art
• +6 more

HAN Song is a Research Professor at the School of Innovation and Entrepreneurship, Southern University of Science and Technology (SUSTech), where he has been working since 2017. He also serves as deputy director of the Aerospace Technology Innovation Center and deputy director of the Unmanned Aerial Vehicle Design and Navigation Control Technology Engineering Research Center (Shenzhen Engineering Research Center). Prior to joining SUSTech, he held various positions at China Aerospace Science and Technology Corporation (CASC), including Professor, Associate Professor, and engineering roles from 2005-2017. Professor Han Song's research focuses on advanced aircraft design and autonomous navigation and control technology. His work spans UAV system development, aircraft aerodynamic layout design, precision guidance systems, and multi-sensor information fusion. He has achieved breakthroughs in high-lift-to-drag aerodynamic layouts, modular composite structures, integrated avionics, and fault-tolerant flight control systems. His research has direct applications in military and civilian unmanned systems with emphasis on practical implementation and technological innovation. 2010 Aerospace Contribution Award of China Aerospace Science and Technology Corporation 2011 Eleventh Five-Year Plan Science and Technology Innovation Award 2016 Twelfth Five-Year Plan Science and Technology Innovation Award First prize for National Defense Science and Technology Progress 5 invention patents in flight control and navigation guidance Professor Han has extensive experience leading major aerospace projects, having served as chief designer for multiple UAV systems including short-range, high-altitude, and medium-range general-purpose platforms. His designs participated in significant national events - a short-range UAV in the 70th anniversary of the Anti-Fascist War parade (2015) and a high-altitude UAV in the 70th National Day parade (2019). He has written nearly 100 technical reports and secured funding for numerous research projects through China Aerospace Science and Technology Corporation. At SUSTech, Professor Han leads research activities at the Aerospace Technology Innovation Center and the Unmanned Aerial Vehicle Engineering Research Center. His team has made notable progress in aerial remote sensing image feature extraction using lightweight convolutional neural networks and underwater bionic flapping wing propulsion technology. He teaches Product Innovation and Design Development Methods and Aviation Vehicle Innovation Design, with his 2020 research group producing four Outstanding Master's Graduates of SUSTech.

• Unmanned Aerial Vehicle Design
• Flight Control Technology
• Integrated Navigation Systems
• +7 more

Dr. Li Hailong is a Chair Professor at the School of Environmental Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen. He holds a PhD in Hydrogeology from the University of Hong Kong (2003), an MSc (1991) and BSc (1988) in Applied Mathematics from Fudan University. His academic journey includes professorships at China University of Geosciences-Beijing (2009-2020) and Anshan Normal University (1999-2009). Recipient of 2010 NSFC Outstanding Young Scientist Grant 2022 Dayu Water Conservancy Science and Technology Award 2008 Chutian Professorship (Hubei Province's highest academic honor) Dr. Li's research focuses on multi-component, multi-phase subsurface flows in coastal zones and their ecological/environmental effects. His work spans aquifer parameter estimation, ecohydrology, marine groundwater discharge, and computational fluid dynamics. Recent projects involve submarine groundwater discharge (SGD) quantification in Bohai Sea and Jiaozhou Bay using radium/radon isotopes. His publications in top journals like Nature Geoscience , Geochimica et Cosmochimica Acta , and Water Resources Research have been cited 7,072 times (H-index 49). He has led 19 research projects, including 6 NSFC grants and 973 Program subprojects. Dr. Li serves on editorial boards of Advances in Water Resources and Water Science and Engineering , and was Associate Editor for Hydrogeology Journal (2012-2015).

• Numerical and analytical modeling of subsurface multi-component, multiphase flows
• Environmental and ecological implications of coastal groundwater flow
• Aquifer parameter estimation
• +3 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.

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

Xiao-Yu Cao is an associate professor at the School of Chemistry and Chemical Engineering , Xiamen University , China, where he has been based since February 2011. His expertise bridges supramolecular chemistry, organic materials, and organometallic systems, with a focus on self-assembly, conjugated architectures, and their optoelectronic or biological applications. Education: 2011.02–present Associate Professor, Xiamen University, School of Chemistry and Chemical Engineering 2008.12–2011.02 Marie Curie Fellow, University of Eindhoven, Department of Biomedical Engineering (supervisor: Prof. Bert Meijer) 2004.09–2009.12 Ph.D. studies, University of Strasbourg, Institute of Supramolecular Science and Engineering (mentor: Prof. Jean-Marie Lehn) 2003.07–2004.09 Research Assistant, Peking University, School of Chemistry and Molecular Engineering (mentor: Prof. Jian Pei) 1999.09–2003.07 B.Sc., Peking University, School of Chemistry and Molecular Engineering Research Interests: Dr. Cao’s research integrates supramolecular chemistry with materials science . He designs self-assembling systems driven by dynamic covalent bonds, metal coordination, and hydrogen bonding to construct functional architectures. A parallel stream focuses on conjugated organic materials —including BN-embedded heterosuperbenzenes and corannulene derivatives—for applications in photoelectrodes, organic field-effect transistors, and solar cells. Additionally, he explores organometallic aromatic systems built around osmium, elucidating their bonding, reactivity, and electronic properties. Publication Profile: Across 2013–2023, Dr. Cao has co-authored >15 high-impact articles in journals such as Nature Communications , Journal of the American Chemical Society , Angewandte Chemie , and Chemical Science Reviews . His work advances three synergistic themes: (1) supramolecular assembly —from grid-like metallo-architectures to chiral polyhedra; (2) organic semiconductors —delivering record electron mobilities and non-fullerene acceptors; and (3) organometallic chemistry —mapping the landscape of osmacycles and metallabenzenes. These studies combine synthetic innovation with detailed structural, spectroscopic, and device characterization. Scientific Awards: Marie Curie Fellowship (European Commission, 2008–2011) Advising & Grants: While the provided text does not enumerate specific doctoral or master’s students, Dr. Cao’s active publication record—often with graduate-student co-authors—indicates ongoing research supervision. Grant details are not disclosed. Laboratory & Teams: Dr. Cao leads projects within the Supramolecular and Materials Chemistry group at Xiamen University. The team leverages state-of-the-art synthetic, spectroscopic, and device-testing facilities to pursue interdisciplinary research spanning chemistry, materials science, and nanotechnology.

• Supramolecular chemistry
• Self-assembly via dynamic covalent chemistry
• Metal complexation and hydrogen bonding
• +3 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.

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