Find Academic Supervisors

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

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

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)

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

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

• Quantum Computing
• MEMS Sensors
• Analog Circuit Design
• +5 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.

Hong HuaqingView profile

Professor

• Corpus Linguistics
• Computer-Assisted Instruction
• Machine Translation
• +3 more

Hong Huaqing is a Professor and doctoral supervisor at the Corpus Research Institute of Shanghai International Studies University. He holds roles as honorary director of the Chinese Corpus Linguistics Research Association and international expert at Peking University's Education Development Center. Formerly, he worked at Nanyang Technological University (Singapore) in roles such as researcher at the Learning Research and Development Center and director of the e-Learning Center of the Lee Kong Chian School of Medicine. His research spans machine translation, natural language processing, corpus linguistics, and educational technology. He supervises master's and doctoral students, co-supervises postdoctoral researchers, and focuses on smart education driven by big data analysis and innovative learning ecosystems. Research emphasizes corpus-based methods applied to language education, including computational frameworks for student engagement, wearable sensors in learning analytics, and cross-linguistic rhetoric studies. His work bridges technological innovation (e.g., AI-driven tutorial systems) with pedagogical practice, addressing challenges in non-English language education and teacher training.

• 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.

• Journalism and Communication
• Media Phenomenology
• Philosophy of Technology
• +2 more

Wang Yingji is a tenured professor and doctoral supervisor at the School of Art and Media, Tongji University. He holds a PhD in Literary Studies and has served as director of the China Culture and Art Communication Research Center, member of the China Artists Association, and editorial board member of "Media Criticism" journal. BA: Chinese Language and Literature, Renmin University of China (1995) MA: Journalism, Beijing Normal University (2004) PhD: Literary Studies, Beijing Normal University (2007) His research focuses on the intersections between Journalism and Communication, Media Phenomenology, Philosophy of Technology, and Traditional Chinese Culture. His work explores embodied cognition in media interaction, technological mediation of human perception, and historical epistemology of media systems. The articles demonstrate his expertise in media phenomenology (Hubert Dreyfus analysis), digital reading behavior studies, VR technology ideologies, and historical reconstruction of Chinese communication theories. His publications span from 2016-2022 with consistent CSSCI indexing. National Social Science Fund General Project: "Chinese Modern Public Opinion Thought History" (2021) Major Project Subtopic: "Chinese Media Archaeology in Civilizational Diversity" (2020) Ministry of Education Project: "Husserl's Media and Communication Thought" (2020) Completed NSFC Project: "Rumor Propagation and Governance in Public Emergencies" (2011) As educator, he teaches courses like "Chinese Classical Media Art", "Media Research Methods", and "Communication Theory". His administrative roles include leadership positions in the Chinese Society of Journalism History and multiple journal editorial boards.

• Neural Video Communication
• Smart Cameras
• Computational Vision Models
• +3 more

Zhan Ma is a Professor and PhD Advisor at the School of Electronic Science and Engineering, Nanjing University. He leads research in Neural Video Communication, Smart Cameras, and Computational Vision Models. His work focuses on end-to-end learning for compression, networking, and hardware-software co-design. Dr. Ma holds a PhD from New York University's Tandon School of Engineering (2010), and prior to his current role, he served as Senior Staff Researcher at Huawei (2013-2015) and Senior Researcher at Samsung (2011-2013). Research highlights include pioneering work in point cloud compression (adopted into IEEE standards) and dual-camera systems for high-resolution video acquisition. His algorithms are deployed in WeChat/WeChat Video for rate-quality optimization and in ISO standards for video complexity indicators. Recent work emphasizes machine learning-driven approaches for image/video compression and adaptive streaming frameworks. Honors include the 2023 IEEE CAS Society Outstanding Young Author Award and multiple best paper awards at IEEE WACV, BMSB, and other venues. He leads the Vision Lab at Nanjing University and collaborates with industry partners on practical implementations of his research.

• 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.