Find Academic Supervisors

• Aerodynamic Noise Mechanism
• Flow and Noise Control
• Aerodynamic and Acoustic Testing Technology
• +3 more

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

Deqiang MaoView profile

Professor

• Hydrogeology
• Hydrogeophysics
• Inverse Modeling
• +3 more

Deqiang Mao is a Professor of Hydrogeology at the Department of Hydraulic Engineering, School of Civil Engineering, Shandong University, Jinan, China. He holds a PhD in Hydrology from The University of Arizona (2012), with prior academic appointments at New Mexico Institute of Mining and Technology (Assistant Professor, 2016-2017) and postdoctoral positions at Colorado School of Mines and The University of Arizona. His research focuses on hydrogeophysics, inverse modeling, and groundwater system characterization. Education: PhD (The University of Arizona), MS (China University of Geosciences), BS (China University of Mining and Technology) His work integrates geophysical methods like induced polarization and resistivity tomography with hydrological modeling to solve subsurface characterization challenges, including contaminant transport, coal seam fires, and aquifer heterogeneity. He actively collaborates with international researchers and serves on AGU committees for hydrogeophysics and groundwater. As a reviewer for major journals, he emphasizes quantitative approaches in hydrogeology and geophysics. Deqiang Mao's research has driven innovations in bioelectrochemical remediation of hydrocarbon-contaminated soils, time-domain induced polarization tomography, and high-performance computing applications in subsurface hydrology. He has co-authored numerous peer-reviewed articles in Geophysics , Water Resources Research , and Journal of Hydrology , advancing field and laboratory techniques for groundwater monitoring. He maintains an open research group at Shandong University, seeking students with quantitative backgrounds in hydrogeology or geophysics. His work bridges theoretical developments in inverse modeling with practical applications in mining hydrology, contaminant remediation, and geophysical survey optimization.

• Offshore Geotechnical Engineering
• Marine Foundation Engineering
• Marine Mooring and Anchoring Technologies
• +4 more

Dr. Fu Yong is an Assistant Professor and doctoral supervisor at the Department of Marine Science and Engineering , Southern University of Science and Technology (SUSTech), Shenzhen, China. He earned his PhD in Geotechnical Engineering from the National University of Singapore (NUS) in 2018, preceded by a Master's (Tongji University, 2013) and Bachelor's (Shanghai University, 2010) in Civil Engineering . Current Role: Assistant Professor, SUSTech (2020–present) Prior Roles: Research Fellow (NUS, 2018–2020), Research Engineer (NUS, 2017–2018) Dr. Fu specializes in marine geotechnical engineering , with key focuses on offshore wind power foundation design, deep-sea anchoring technologies, and underground space development. His technical expertise includes large deformation finite element modeling (CEL/RITSS methods), stochastic analysis , and machine learning (GWO-MLP optimization). His work bridges laboratory experiments (centrifuge and field tests) with computational simulations to address challenges in marine infrastructure. Marine foundation design for offshore wind turbines and marine ranches Deepwater dynamic penetration anchoring systems Horizontal deep soil mixing equipment for underground space Finite element simulation of large deformations and thermal effects His publication trends reveal a consistent focus on offshore anchoring mechanics, shale fracture modeling, and machine learning integration for geotechnical predictions. Recent works (2024–2025) emphasize torsional effects in suction anchors, sand-GFRP interface behavior, and advanced constitutive models for cemented soils. Key journals: Geotechnique , Ocean Engineering , Physics of Fluids , Computers and Geotechnics Dr. Fu has received multiple scientific awards , including the 2024 SUSTech Undergraduate Teaching Award, 2022 SUSTech Outstanding College Mentor Award, and NUS Research Scholarship (2013–2017). Selected Honors: 2024 First Prize, SUSTech Undergraduate Teaching Award 2022 SUSTech Outstanding College Mentor 2020 Shenzhen Overseas High-level C Talent He actively contributes as a reviewer for 18+ international journals and serves on editorial boards for journals like Sustainable Structures . His work on machine learning-driven anchor penetration prediction (2024) and hybrid phase-field shale fracture modeling (2024) exemplifies interdisciplinary innovation.

Xuyang WuView profile

Associate Professor

• Distributed Optimization
• Large-scale Optimization
• Machine Learning
• +3 more

Xuyang Wu serves as Associate Professor at the School of Automation and Intelligent Manufacturing (AiM), Southern University of Science and Technology (SUSTech) in Shenzhen, China. He was promoted from Assistant Professor in June 2025 after joining SUSTech in February 2024, following postdoctoral research at KTH Royal Institute of Technology (2020-2023) and a visiting position at The Chinese University of Hong Kong (2023-2024). His educational background includes: Ph.D. in Communication and Information Systems, University of Chinese Academy of Sciences (2015-2020) B.S. in Applied Mathematics, Northwestern Polytechnical University (2011-2015) Wu's research centers on distributed and large-scale optimization with applications in machine learning and networked systems. His work develops asynchronous algorithms that handle communication delays and coupling constraints, bridging control theory with modern machine learning. Key contributions include barrier function methods for safe resource allocation and delay-agnostic coordinate updates, emphasizing convergence guarantees in decentralized settings. Analysis of his 15 most recent publications (2021-2025) reveals consistent focus on asynchronous distributed optimization across top venues including IEEE Transactions on Automatic Control and ICML. His work demonstrates increasing sophistication in handling non-convex objectives and time-varying networks while maintaining theoretical convergence guarantees, with recent expansion into high-performance decentralized training frameworks. Scientific recognition includes: Best Student Paper Finalist at IEEE International Conference on Control & Automation (2019) While specific advised students and grant details aren't documented in available sources, Wu's publication record indicates active collaboration with researchers at KTH Royal Institute of Technology and The Chinese University of Hong Kong. His work shows clear progression from theoretical foundations toward practical distributed learning applications. Current research focuses on enabling violation-free optimization under constraints and developing communication-efficient decentralized training frameworks for real-world deployment scenarios.

• High-Performance Integrated Circuit Design
• Artificial Intelligence Accelerators
• Digital Signal Processing Chips
• +3 more

Dr. Fengwei An is an Associate Professor at the Shenzhen-Hong Kong Institute of Microelectronics , Southern University of Science and Technology (SUSTech). He earned his Ph.D. in Engineering from Hiroshima University (2013) , following a Master's (2010) and Bachelor's (2006) from Qingdao University of Science and Technology. Current Role : 2025-Present - Associate Dean and Associate Professor, SUSTech Shenzhen-Hong Kong Institute of Microelectronics Prior Academic Roles : 2017-2018 - Associate Professor, Hiroshima University; 2013-2017 - Assistant Professor, Hiroshima University Industry Experience : 2018-2019 - Chief Engineer, Panasonic Semiconductor Co., Ltd., Japan Research Interests focus on low-power edge artificial intelligence chip design for computer vision, including: Ultra-large-scale digital integrated circuit design System-on-Chip (SoC) integration Image processing and recognition Machine learning hardware Autonomous driving applications High-speed motion tracking systems Publications include over 80 top-tier journal/conference papers (e.g., TCAS-I/II, ESSCIRC, APCCAS) on AI accelerators, stereo vision processors, and sensor interfaces, with 15 recent articles highlighting advancements in stereo matching, video denoising, and reconfigurable coprocessors. Scientific Awards : 2023 - SUSTech Outstanding Teaching Award 2022 - APCCAS Best Paper Nomination 2022 - PrimeAsia Bronze Leaf Award 2020 - Wu Wenjun Artificial Intelligence Science and Technology Award (Second Prize) Patents : 9 Chinese and 3 Japanese inventions in AI chip design, stereo matching systems, and sensor interfaces.

• High-Performance Composite Structures
• Sustainable Marine Engineering
• Structural Load and Corrosive Environment Coupling
• +3 more

Dr. Hou Chao is an Associate Professor and PhD Supervisor at the Department of Ocean Science and Engineering , Southern University of Science and Technology (SUSTech) since 2019. Previously, he held academic positions at the University of Sydney (2015-2019) and served as a lecturer there (2018-2019). He received his BEng (2009) and PhD (2014) in Structural Engineering from Tsinghua University , where he was recognized as an outstanding graduate and awarded the National Scholarship of China (2013). Research Interests focus on High-performance composite structures Sustainable marine engineering systems Load and marine environment coupling effects Modular construction technology Corrosion resistance in offshore structures Publication Trends reveal expertise in concrete-filled steel tubular (CFST) structures under extreme conditions. His work spans mechanical behavior analysis, fatigue assessment, and innovative connection design for modular buildings, with methodological focus on experimental testing, finite element modeling, and machine learning applications. Key sub-fields include localized corrosion effects, post-fire performance, and reliability-based design frameworks. Scientific Recognition : 2022 Ministry of Education Natural Science First Prize (3/5) China Patent Excellence Awards (2/2, 5/10) Inclusion in Stanford-Elsevier Top 2% Scientists (2023, 2024) Dean’s Outstanding Teaching Award, University of Sydney (2018) Editorial roles: Structures , Advances in Structural Engineering He has secured over 10 international research grants, including National Natural Science Foundation of China projects and Shenzhen Science & Technology Innovation Commission awards. His work is codified in 7 Chinese national standards, applied in critical infrastructure like the Wenchuan Kequ Bridge.

• Materials Science
• Lightweight Materials
• Aluminum Alloy Design
• +5 more

LU Hongxing is a Research Associate Professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech). He joined SUSTech in 2017 after completing his PhD and has progressed from Research Assistant Professor to his current position. He also serves as General Manager of Shenzhen Nanke-qiangzheng Light Alloy Technology Co., Ltd. and Deputy Secretary General of the Semi-solid Working Committee of the China Foundry Association. His educational background includes: PhD in Materials Science and Engineering (2017), General Research Institute for Non-ferrous Metals, Beijing Bachelor's degree in Materials Science and Engineering (2012), Beihang University (Beijing University of Aeronautics and Astronautics) Dr. Lu's research focuses on lightweight materials and manufacturing technologies for vehicles and communication equipment. His work spans multiple areas including new alloy design, semi-solid processing theory and technology, and lightweight component design and manufacturing. He has particular expertise in aluminum alloy semi-solid forming, die-casting technologies, and intelligent manufacturing systems. His research combines fundamental materials science with practical engineering applications to solve industry challenges in lightweighting. His publication record shows a strong focus on semi-solid processing of aluminum alloys, with recent work expanding into additive manufacturing techniques like selective laser melting. The research demonstrates progression from fundamental studies of microstructure and material behavior to applied research addressing specific industrial challenges in casting and forming processes. Dr. Lu has received numerous professional recognitions: First Prize of the Shenzhen Science and Technology Progress Award Outstanding Communist Party Member, SUSTech Committee (2020) Outstanding Tutor, School of Innovation and Entrepreneurship, SUSTech (2020) Outstanding Party Worker, SUSTech Committee (2019) Best Paper of GRINM 2015 Annual Academic Conference Excellent undergraduate thesis award from Beihang University As a research leader, Dr. Lu has participated in over 10 major scientific research projects from national and municipal funding agencies, and has presided over research projects from industrial partners including STAS and Guangzhou Hede. He has supervised seven master's students, with several receiving university-level honors. His research group focuses on advanced forming technologies and collaborates closely with industry partners to translate research into practical applications. Dr. Lu leads research activities within the Department of Mechanical and Energy Engineering at SUSTech, which houses specialized laboratories for additive manufacturing, precision machining, and materials testing. His work is closely tied to the Shenzhen Key Laboratory of Additive Manufacturing of High-Performance Materials and contributes to SUSTech's broader research initiatives in intelligent manufacturing.

• 3-D genomics
• epigenomics
• chromatin topology
• +5 more

Yuliang Feng is an Associate Professor and doctoral supervisor in the Department of Pharmacology, School of Medicine, Southern University of Science and Technology (SUSTech), China. He also serves as Vice-Chair of the Pan-Vascular Committee of the Guangdong Medical Education Association and holds editorial/reviewer roles for more than 25 international journals. Education Ph.D. in Molecular & Cellular Medicine, University of Oxford, UK (2019-2022) M.D. in Cardiovascular Pharmacology, Joint Ph.D. program, Southern Medical University & University of Cincinnati (2008-2014) B.M. in Preventive Medicine, Sun Yat-sen University, China (2003-2008) Research Interests Dr. Feng integrates 3-D genomics , epigenomics and computational biology to decode how higher-order chromatin organization governs transcriptional programs in human disease, with a focus on cardiovascular disease and cancer . His laboratory maps enhancer–promoter interactions using Hi-C, ChIA-PET and HiChIP, and develops multi-omics databases (e.g., EXPRESSO) to uncover therapeutic targets that reprogram pathological gene networks. Recent work reveals shared genetic architectures among major cardiovascular diseases, telomere-length contributions to disease onset, BRD9–SMAD2/3-mediated stemness in pancreatic cancer, and 3-D chromatin rewiring during dilated cardiomyopathy. These studies highlight his expertise in translating genome topology findings into diagnostic and precision-medicine strategies. Scientific Awards & Honors National Science Foundation of China Distinguished Young Scholar (Overseas), 2023 Guangdong Distinguished Young Scholar, 2023 Shenzhen Pengcheng Peacock Talent (Category C), 2023 Clarendon Scholar, University of Oxford, 2019-2022 ISHR Richard J. Bing Young Investigator Award Finalist, 2022 Multiple ISHR Young Investigator & Travel Awards (2010-2016) Grants & Leadership Dr. Feng currently leads projects funded by the National Natural Science Foundation of China and Guangdong Province, and participates in international consortia such as ENCODE, 4DN and BLUEPRINT. He mentors graduate students and postdocs, while coordinating collaborative teams across SUSTech, Oxford, and industry partners to develop next-generation epigenomic therapeutics. Laboratory & Teams The Feng lab operates within the SUSTech Medical Research Platform with access to state-of-the-art sequencing, single-cell and high-performance computing cores. The group maintains active collaborations with cardiac surgeons, oncologists and AI scientists to accelerate bench-to-bedside translation of 3-D genome-based interventions.

• Solid-State Physics
• Inorganic Chemistry
• Thermoelectric Materials
• +4 more

Tao Feng is a Research Assistant Professor and Master's Supervisor at the Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech). With a background in solid-state physics and inorganic chemistry, he specializes in unconventional thermoelectric materials, particularly magneto-thermoelectric systems and correlated electron-based materials. His work spans topological materials, low-temperature transport physics, and material synthesis. Educational Background: Ph.D. in Inorganic Chemistry (2017-2020), Jilin University M.Sc. in Condensed Matter Physics (2015-2017), Jilin University B.Sc. in Applied Physics (2010-2014), Yanshan University Research Focus: Tao Feng's work centers on magneto-thermoelectric effects under multi-field coupling (magnetic, thermal, electric), correlated electron thermoelectrics, and low-temperature physical property analysis. His research integrates topological materials, electron-phonon interactions, and computational approaches like machine learning for material design. Publication Trends: His recent articles emphasize topological semimetals (Mg3Bi2), transverse thermoelectric effects, and electrical/thermal transport mechanisms. Key subfields include Nernst effect optimization, correlated electron systems, and application of hollandite-type oxides in energy conversion. Awards & Recognition: Class C Special Talent, Shenzhen Pengcheng Peacock Plan (2024) Professional Roles: He serves as a young editorial board member for Energy Materials and Devices and Progress in Natural Science: Materials International . He is an invited reviewer for journals like ACS Applied Materials & Interfaces and Applied Physics Letters , and a core member of Guangdong Key Laboratory of Information Functional Oxide Materials and Devices.

• Flexible Electronics
• Electronic Skin
• Nanofabrication
• +3 more

Dr. Chuanfei Guo is a tenured Professor at the Southern University of Science and Technology (SUSTech) and serves as editor for Materials Today Physics and Soft Science . His research focuses on high-performance electronic skins , human-body flexible electronics , and unconventional micro-nano fabrication . Education : PhD in Materials Science (2011, National Center for Nanoscience and Technology) Appointments : Boston College (Postdoc, 2011-2012), University of Houston (Research Associate, 2013-2016), SUSTech (Associate Professor 2016-2021, Tenured Professor 2021-present) Research Themes : Development of ultra-sensitive electronic skins with cross-talk-free sensing and environmental stability Innovation in epidermal and implantable bioelectronics using conductive hydrogels Cost-effective biomimetic nanofabrication techniques for scalable microstructures Scientific Contributions include: Over 130 publications in top journals (Nature Materials, Nat. Commun., PNAS, etc.) 40+ patents (24 granted, including 4 US patents) Recipient of Beijing Natural Science Prize and Guangdong Distinguished Young Scholar Fund Leadership in Zhujiang Talent Program and SUSTech-MIT Joint Center projects

• Ultra-low power digital circuit design
• Energy-efficient AI processor design
• Compute-in-memory
• +5 more

Dr. Longyang Lin is an Assistant Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech) in Shenzhen, China. He received his Ph.D. from the National University of Singapore in 2018 and has been with SUSTech since May 2021. His research focuses on cutting-edge integrated circuit design with emphasis on ultra-low power systems, hardware security, and cryogenic circuits. Education: Ph.D., National University of Singapore, 2018 M.Sc., Lund University, 2011-2013 B.Sc., Umeå University & B.Eng., Shenzhen University, 2007-2011 Dr. Lin's research spans ultra-low power digital circuit design , energy-efficient AI processor design , compute-in-memory , on-chip sensor fusion , and cryogenic CMOS circuit design . His work addresses critical challenges in battery-less systems, hardware security, and energy-efficient computing. He has developed innovative solutions for self-powered sensor nodes, widely energy-scalable VLSI systems, and secure integrated circuits that operate across extreme temperature ranges. His recent publications demonstrate a strong focus on hardware security, ultra-low power design, and biomedical applications. The research shows a clear progression toward more integrated systems that combine sensing, processing, and communication in highly energy-constrained environments. Many papers address the challenge of maintaining performance while drastically reducing power consumption, with several targeting sub-nanowatt operation. Scientific Awards: Takuo Sugano Award for Outstanding Far-East Paper, ISSCC 2022 ISSCC Demonstration Session Certificate of Recognition, 2022 ISSCC Demonstration Session Certificate of Recognition, 2020 IEEE SSCS Singapore Chapter Award, 2017 & 2018 ISSCC Student Travel Grant Award, 2017 Dr. Lin actively mentors students and researchers, with openings for Research Assistant Professors, Postdoctoral Fellows, Research Assistants, and Graduate Students. His research group benefits from ample funding and regular tape-out opportunities (3-5 per year across different process nodes). He serves as Associate Editor for IEEE Transactions on VLSI Systems and has authored or co-authored over 40 publications, including 10 in IEEE JSSC, 5 in ISSCC, and 12 in VLSI Circuits conference. His laboratory focuses on integrated circuit design for ultra-low power applications, with specialized expertise in hardware security, energy harvesting systems, and cryogenic electronics. The research environment supports tape-outs in advanced CMOS processes, enabling practical validation of theoretical designs.

• Numerical Partial Differential Equations
• Phase Field Models
• Nonlocal Models
• +2 more

YANG Jiang serves as Associate Professor in the Department of Mathematics at Southern University of Science and Technology (SUSTech), School of Science, with active research in computational mathematics since 2017. His academic journey spans prestigious institutions including Columbia University and Penn State University. Educational Background: Ph.D. in Applied Mathematics, Hong Kong Baptist University (2014) B.S. in Mathematics, Zhejiang University (2010) Specializing in numerical methods for partial differential equations, his research focuses on phase field models and nonlocal operators with applications in materials science and physics. His work bridges theoretical analysis with practical computational techniques, emphasizing stability, accuracy, and efficient implementation of numerical schemes for complex physical phenomena. His publication trends reveal deep expertise in Allen-Cahn equations, nonlocal diffusion operators, and phase-field modeling through advanced spectral methods. Key thematic areas include stability preservation, asymptotic compatibility, and high-performance implementation of numerical algorithms for nonlocal systems. Scientific Recognition: Student Paper Prize at 10th East Asia SIAM Conference (2014) Yakun Scholarship Scheme, Hong Kong Baptist University (2014) As an active researcher and educator, he contributes to advancing computational mathematics through rigorous theoretical work and practical algorithm development. His professional trajectory demonstrates strong continuity from doctoral research through postdoctoral training to independent faculty position, with consistent focus on challenging numerical problems in mathematical physics.

• Turbulence theory
• Computational fluid dynamics
• Large-eddy simulation
• +4 more

Shiyi Chen is Chair Professor in the Department of Mechanics and Aerospace Engineering at Southern University of Science and Technology (SUSTech) . From January 2015 to November 2020 he served as the founding President of SUSTech. He is an Academician of the Chinese Academy of Sciences, a Fellow of the American Physical Society (1995), the Institute of Physics (UK, 2004) and The World Academy of Sciences (TWAS, 2018). Education B.Sc. in Mechanics, Zhejiang University (1981) M.Sc. in Mechanics, Peking University (1984) Ph.D. in Mechanics, Peking University (1987) Research Interests Professor Chen is internationally recognized for pioneering work in turbulence theory and computational fluid dynamics . His research spans direct numerical simulation of turbulent flows, large-eddy simulation and sub-grid-scale modeling, lattice Boltzmann methods , multi-scale algorithms , and the industrial applications of turbulence in multi-phase flows, combustion, and granular media. He developed the mapping-closure theory for probability density functions in turbulent reacting flows and provided fundamental explanations for the two-dimensional inverse energy cascade. Awards & Honors Academician, Chinese Academy of Sciences (2013) Fellow, American Physical Society (1995) Fellow, Institute of Physics, UK (2004) Fellow, The World Academy of Sciences (TWAS) (2018) Qiu Shi Outstanding Scientist Award (2017) Shenzhen Education Reform Pioneer Award (2019) Leadership & Service Professor Chen has held numerous leadership roles: President, Southern University of Science and Technology (2015–2020) Vice President for Research and Dean of Graduate School, Peking University (2013–2015) Founding Dean, College of Engineering, Peking University (2005–2013) Chair, Department of Mechanical Engineering, Johns Hopkins University (2002–2004) Director, State Key Laboratory of Turbulence and Complex Systems (2011–present) Alonzo G. Decker Jr. Chair in Engineering and Science, Johns Hopkins University Oppenheimer Fellow & Group Leader, Los Alamos National Laboratory (1987–1997) Research Staff Member, IBM TJ Watson Research Center (1994–1999) Laboratory & Research Teams Since 2011 he has directed the State Key Laboratory of Turbulence and Complex Systems , fostering interdisciplinary research in high-Reynolds-number turbulence, multi-scale modeling, and advanced computational techniques. Under his guidance the laboratory collaborates closely with national aerospace and energy industries.

• Analog IC Design
• Power IC Design
• GaN Power Devices
• +5 more

Dr. GAO Yuan serves as an Assistant Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech) since November 2019. His academic journey includes a Ph.D. in Electronic and Computer Engineering from the Hong Kong University of Science and Technology (2017), preceded by M.Eng. and B.Eng. degrees from Xi'an Jiaotong University (2012 and 2009 respectively). Prior to his current position, he completed a Post-Doctoral Fellowship at HKUST (2017-2019). Education Background: Ph.D. in Electronic and Computer Engineering, HKUST (2012-2017) M.Eng. in Electronic Science and Technology, Xi'an Jiaotong University (2009-2012) B.Eng. in Microelectronics, Xi'an Jiaotong University (2005-2009) Dr. Gao's research focuses on analog and power integrated circuits design, with particular expertise in high-voltage applications. His work spans GaN power device drivers and controllers, efficient LED/LD driver ICs, and high-performance DC-DC/AC-DC power converters. His publication record demonstrates consistent innovation in power management circuits, with recent work exploring applications in photoacoustic imaging systems and advanced battery conversion technologies. His research output shows a clear trajectory toward increasingly sophisticated power management solutions, with recent publications (2023-2025) emphasizing bidirectional power transfer, high-efficiency battery-to-LED conversion, and specialized drivers for medical imaging applications. The consistent presence in top-tier venues (IEEE JSSC, ISSCC, VLSI Symp., CICC) reflects the high impact of his work in the integrated circuits community. Scientific Recognition: Best Paper Award at IEEE ISCAS 2023 (top 3 among 1,400 submissions) Best Student Paper Finalist at IEEE CICC 2023 Shenzhen Overseas High-Caliber Personnel C ("Peacock Plan") IEEE Solid-State Circuits Society STGA for ISSCC 2017 1st Place, Synopsys International Microelectronics Olympiad 2014 Dr. Gao actively contributes to the academic community through service on review boards for major international journals and conferences. His teaching portfolio includes undergraduate courses in analog circuit fundamentals and power electronics, as well as graduate-level instruction in advanced power converter design. His research group appears to focus on practical implementations of power management solutions with applications spanning consumer electronics, medical devices, and energy-efficient lighting systems.

• Electrocatalysis
• CO2 Electrochemical Reduction
• Electrocatalyst Design
• +5 more

Dr. Jun Gu serves as an Associate Professor, Doctoral Supervisor, and Research Group Leader at the Department of Chemistry, College of Science, Southern University of Science and Technology (SUSTech). He leads an active research program in electrocatalysis and is recognized as a National Overseas High-Level Talent for his significant contributions to the field. Joined SUSTech in March 2021 as tenure-tracked Assistant Professor, promoted to Associate Professor Previously conducted postdoctoral research at EPFL in Switzerland (2016-2021) Research group focuses on carbon-neutral energy technologies Dr. Gu received his B.S. in Chemistry from Peking University in 2011 and completed his Ph.D. in Inorganic Chemistry there in 2016 under the supervision of Professor Yawen Zhang and Academician Chunhua Yan. His doctoral research centered on controlled synthesis and catalytic applications of rare-earth-based and noble metal-based nanomaterials. Dr. Gu's research program focuses on developing electrocatalytic reactions, materials, and electrolysis devices for CO 2 reduction under acidic conditions. His group investigates structure-activity relationships of catalysts, production of multi-carbon products from CO electroreduction, and electrocatalytic organic synthesis. The research integrates experimental approaches with advanced characterization techniques including in situ infrared spectroscopy, Raman spectroscopy, and electrochemical differential mass spectrometry, combined with finite element simulation to understand mass transfer processes and optimize electrolyzer design. Analysis of Dr. Gu's publication record reveals a consistent focus on CO 2 electrochemical reduction technologies, particularly in challenging acidic media environments. His work spans from fundamental catalyst design (including single-atom catalysts) to practical electrolyzer development, addressing critical challenges in carbon neutralization and renewable energy storage. His research has significant implications for sustainable chemical production and achieving China's carbon neutrality goals before 2060. National Overseas High-Level Talent As a Doctoral Supervisor, Dr. Gu mentors PhD students and leads a well-funded research group with multiple postdoctoral researchers and research assistants. His laboratory is equipped with advanced instrumentation for electrocatalysis research and benefits from his extensive international collaborations developed during his postdoctoral work at EPFL. The research group actively recruits talent with competitive compensation packages, including opportunities for professional development and research funding support. Dr. Gu's research laboratory focuses on developing practical technologies for carbon-neutral energy systems. His team combines experimental electrochemistry with computational modeling to understand and optimize electrocatalytic processes. Current projects include developing novel ionomers for membrane electrode assemblies, investigating cation effects in acidic electrolytes, and designing electrolyzers that balance selectivity, energy conversion efficiency, and stability for industrial-scale CO 2 conversion.