QIU Lei is a Professor at the Department of Electronic Science & Technology, TongJi University. His work focuses on analog and digital circuit design with applications in communication systems and biomedical engineering. Research Fields : High-Speed ADCs, Low Power Sensors, Signal Chain Processing, Cognitive Radio Courses Taught : Analog IC Analysis and Design (Undergraduate), Advanced IC Design (Graduate) QIU Lei’s research emphasizes high-speed and ultra-high-speed analog-to-digital converters (ADCs) using time- and frequency-interleaving architectures, low-power temperature sensors, and baseband processing systems. His publications highlight implementations in 65nm CMOS and SiGe BiCMOS technologies for applications like software-defined radio, PET imaging, and 5G mm-wave systems. Key trends in his work include digital calibration techniques for SAR ADCs, time skew compensation in time-interleaved systems, and energy-efficient circuit design for biomedical and radar applications. QIU Lei has supervised students in projects related to ADC architectures, cognitive radio receivers, and frequency synthesizers.
Yu He is a Researcher at the Institute of Quantum Science and Engineering, Southern University of Science and Technology (SUSTech) in Shenzhen, China, where he leads research on silicon-based quantum computing and quantum simulation. He joined SUSTech in March 2020 after international postdoctoral training. Education: Ph.D. in Physics, University of Science and Technology of China (2009-2015) B.S. in Atomic, Molecular and Optical Physics, University of Science and Technology of China (2005-2009) Research Focus: Dr. He specializes in semiconductor quantum technologies with emphasis on silicon-based atomic-scale devices, quantum simulation, and quantum networks. His work bridges experimental quantum optics, solid-state physics, and quantum information processing, particularly through quantum dot systems and dopant atoms in silicon for developing scalable quantum computing architectures. Publication Trends: His 27 publications demonstrate consistent focus on experimental quantum information science. Early work centered on high-purity single-photon sources using quantum dots. Recent breakthroughs include pioneering silicon-based quantum gates and quantum simulation platforms. Publications in Nature and Physical Review Letters frequently explore quantum measurement techniques, photonic quantum walks, and semiconductor qubit control. Awards and Honors: MIT Technology Review's 35 Under 35 Innovators (China) - 2020 Top Ten Quantum Computing Experiments in the World - 2019 Top Ten Scientific and Technological Advances in China - 2017 Laboratory Development: He directs a specialized quantum device laboratory at SUSTech developing STM-based nanofabrication and millikelvin measurement systems for silicon quantum processors. His team actively recruits postdoctoral researchers and engineers for projects in quantum dot manipulation, cryogenic electronics, and quantum chip design.
Guixin Li is a Professor of Nanophotonics at the Department of Materials Science and Engineering, College of Engineering, Southern University of Science and Technology, China. He is an elected member of the 2023 Optica Fellow and recipient of the 2019 Qiushi Outstanding Young Scholar Prize. His academic journey includes a PhD from Hong Kong Baptist University (2009), M.Phil and B.Sc. from Beijing Normal University (2006, 2003), and postdoctoral/research roles at institutions like Imperial College London, University of Birmingham, and University of Paderborn. Education B.Sc., Physics, Beijing Normal University (2003) M.Phil., Physics, Beijing Normal University (2006) PhD, Physics, Hong Kong Baptist University (2009) Prof. Li's research focuses on optical metasurfaces , nonlinear optics , and nanophotonics , with a particular emphasis on geometric phase and spin-orbit interaction control. His work has led to over 110 publications in top-tier journals like Nature Photonics and PNAS , with >12,000 citations, and 8 patents (3 Chinese, 5 US). Key trends in his publications include: Terahertz and visible light manipulation via metasurfaces Spin-orbit interaction in nonlinear harmonic generation High-efficiency holographic encoding and imaging Quantum and topological photonics applications Band-edge effects in organic conjugated polymers Nonlinear optical activity in achiral systems Scientific Awards : 2023 Optica Fellow (formerly OSA Fellow) 2019 Qiushi Outstanding Young Scholar Prize Prof. Li serves as Associate Editor of Optics Express , guest editor for Photonics Research and Advanced Photonics , and holds leadership roles in the Metamaterials Society of China. His research is funded by the National Natural Science Foundation of China, Guangdong Province, and Shenzhen government grants. He leads a laboratory focused on photonic metamaterials and metasurface applications , mentoring graduate students in nonlinear optics and nanophotonics projects.
Weipeng Chen serves as an Assistant Professor in the Department of Biomedical Engineering at SUSTech's College of Engineering since July 2024, pioneering research in soft matter for smart ion transport systems targeting bioinspired energy conversion and neural signal transduction applications. His academic credentials include: Ph.D. from University of Chinese Academy of Sciences/Technical Institute of Physics and Chemistry, Chinese Academy of Sciences (2018-2021) Master's degree from Hainan University (2015-2018) Bachelor's degree from Hainan University (2011-2015) Chen's core research investigates dynamic micro-nano channels in soft matter to achieve ion gating through synergistic structural changes and interfacial energy barriers. This work enables breakthroughs in bioinspired salinity gradient energy harvesting and multi-stage neural signal transduction , establishing him at the materials science-biomedical engineering nexus with strong theoretical and applied dimensions. His publication trajectory reveals consistent innovation in hydrogel-based iontronic devices, with recent high-impact papers demonstrating sophisticated control over ion transport for osmotic energy conversion (2023-2024) and neural signal transmission (2023 Science paper). These works collectively advance nanofluidic principles toward practical bioelectronic and renewable energy applications. Research funding includes: Principal Investigator of a postdoctoral project Key technical contributor to two national key R&D projects in China While specific laboratory infrastructure isn't detailed, his work operates within SUSTech's Department of Biomedical Engineering ecosystem, likely involving interdisciplinary teams developing next-generation soft matter nanofluidic systems.
Shumo Cui is an Assistant Professor in the Department of Mathematics at Southern University of Science and Technology (SUSTech), where he has been employed since September 2019. He is also affiliated with the International Center for Mathematics (Gelmanov Mathematical Center) at SUSTech. His educational background includes: Ph.D. in Mathematics from Tulane University (2015) B.S. in Applied Mathematics from Tongji University (2010) Dr. Cui's research focuses on computational mathematics with applications in traffic flow modeling and simulation, numerical solutions of partial differential equations, and computational finance. His work bridges theoretical mathematics with practical applications, particularly in the emerging field of autonomous vehicle traffic control. His research has led to significant contributions in understanding and mitigating traffic waves through the strategic deployment of autonomous vehicles, as well as developing advanced numerical methods for fluid dynamics and financial modeling. His publications demonstrate a strong interdisciplinary approach, combining mathematical rigor with real-world applications. The research spans from theoretical numerical methods for PDEs to practical implementations in traffic engineering and financial modeling. His recent work has particularly focused on applying mathematical models to traffic flow problems, with several publications on autonomous vehicle control in traffic systems. Dr. Cui teaches courses including MATLAB Programming and Application (MA1103) and Partial Differential Equations (MA303).
Dr. Lian He is an Assistant Professor in the School of Medicine at Southern University of Science and Technology (SUSTech), Shenzhen, China. She obtained her Ph.D. in Medical Sciences from Texas A&M University and completed postdoctoral training at the Center for Translational Cancer Research, Texas A&M Institute of Biosciences & Technology. Since May 2022, Dr. He has led a lab focused on engineering next-generation deep-tissue molecular switches, programmable therapies like CAR-T cell-based therapy, and all-optical genetic perturbation platforms. Ph.D. in Medical Sciences, Texas A&M University (2012-2018) M.S. in Molecular Evolution, Sun Yat-sen University (2008-2011) B.S. in Biotechnology, Sun Yat-sen University (2004-2008) Her research spans calcium signaling, optogenetics, and synthetic biology. She develops light-controllable tools for immunomodulation, drug screening, and intracellular communication, with applications in cancer biology and precision medicine. Recent publications highlight advancements in optogenetic calcium channels, biologics engineering, and chemogenetic systems. Dr. He's publications reflect interdisciplinary work in optogenetics, calcium signaling, and biologics. Key trends include light-regulated therapies, STIM1/STIM2 dynamics, and non-invasive drug screening platforms. Her work bridges molecular engineering and translational medicine. 3rd Prize Winner, Society of Chinese Bioscientists in America-TX (2021) Best Poster Award, FASEB Conference (2018) Chinese Government Award for Outstanding Self-financed Students Abroad (2017) Welch Foundation Pre-doctoral Fellowship (2016) Dr. He's lab at SUSTech collaborates with interdisciplinary teams on deep-tissue optical tools and programmable therapies. Her work integrates molecular engineering with translational cancer research and immunotherapy applications.
Song Liu is a Research Assistant Professor at the School of Environmental Science and Engineering, Southern University of Science and Technology (SUSTech). She obtained her PhD in atmospheric remote sensing from Technical University of Munich and has worked at German Aerospace Center before joining SUSTech. Her research focuses on satellite remote sensing retrieval and chemical model simulation of atmospheric trace gases, with expertise in monitoring nitrogen dioxide and other trace gases using satellite observations. Education PhD in Atmospheric Remote Sensing, Technical University of Munich (2015-2019) MSc in Aerospace and Geodesy, Technical University of Munich (2012-2015) MSc in Remote Sensing and Information Engineering, Wuhan University (2011-2015) BEng in Remote Sensing and Information Engineering, Wuhan University (2007-2011) Research Interests Dr. Liu's research primarily focuses on Satellite Remote Sensing Monitoring of Trace Gases and Atmospheric Chemical Modeling and Emission Inversion . Her work involves developing advanced satellite remote sensing techniques to monitor atmospheric pollutants and understanding the chemical processes that govern air quality across different spatial and temporal scales. Her research has important implications for environmental policy and air quality management, as it provides critical data for understanding emission sources, tracking pollution trends over time, and evaluating the effectiveness of emission control measures. Dr. Liu's work bridges the gap between satellite observations and ground-level air quality through innovative data processing techniques and modeling approaches. Research Trends Dr. Liu's publications demonstrate a consistent focus on advancing satellite-based monitoring of atmospheric trace gases, particularly nitrogen dioxide. Her work spans methodological improvements in satellite data processing, analysis of long-term pollution trends, and investigation of specific emission sources including power plants, shipping, and urban areas. A notable aspect of her recent work is the application of satellite observations to study the impacts of extraordinary events like the COVID-19 pandemic on air quality, as well as the effects of extreme weather events like heatwaves on pollution patterns. Research Projects Dr. Liu has secured competitive research funding including: National Natural Science Foundation of China Youth Project: "Driving Mechanism of Nitrogen Oxide Emission Evolution in China Based on Long-Term Satellite Inversion" Guangdong Natural Science Foundation General Project: "Monitoring of Glyoxal Emissions in the Guangdong-Hong Kong-Macao Greater Bay Area Based on Geostationary Satellite GEMS" These projects highlight her expertise in using satellite data to address critical environmental challenges in China and the Greater Bay Area, with direct applications to regional air quality management and environmental policy.
Chen Xi is a Research Associate Professor in the Department of Mechanics and Aerospace Engineering at Southern University of Science and Technology (SUSTech), where she has served since July 2021 (initially as Research Assistant Professor until December 2023). She was selected as a Master's Supervisor in December 2021 and was honored with the 2022 Outstanding Researcher Award from the Department of Mechanics and Aerospace Engineering. In February 2023, she was selected for the 8th China Association for Science and Technology Young Talent Support Program. Dr. Chen earned her bachelor's degree in Aircraft Power Engineering (2012) and Ph.D. in Science and Technology of Aeronautics and Astronautics (2019) from Northwestern Polytechnical University. Prior to joining SUSTech, she worked as a Mechanical Engineer at Siemens AG in Germany (2016-2017) and completed postdoctoral research at SUSTech (2019-2021). Her research focuses on rotating machinery applications including aero-engines, marine gas turbines, large drive motors, and wind turbines. She conducts theoretical research in nonlinear dynamics, structural vibration, and rotor dynamics; numerical simulation research in fluid-solid coupling algorithms, stability analysis, and vibration control; and engineering technology research in damper design, high-speed dynamic balancing, condition monitoring, and fault diagnosis. Her work has led to significant innovations in rotor dynamics modeling, maneuvering flight vibration analysis, and high-speed dynamic balancing techniques. Dr. Chen serves as a reviewer for numerous prestigious journals including Journal of Sound and Vibration, Nonlinear Dynamics, and ASME journals. She is an active member of several professional societies including the Chinese Society of Aeronautics and Astronautics and the American Society of Mechanical Engineers. Her research has resulted in over 28 publications, numerous patents, and significant contributions to large aircraft engine engineering. Dr. Chen has secured or participated in 12 research projects totaling 17.04 million yuan in funding. She has applied for 11 national patents (8 inventions, 3 utility models), with 5 authorized, 2 published, and 4 under review. Her notable achievements include the First Prize of the 2016 National Defense Science and Technology Progress Award for her work on high-speed dynamic balancing of turbofan engines. As a dedicated educator, Dr. Chen serves as a teaching assistant for courses including Introduction to Aeronautics and Astronautics and Mechanics, and General Theory of Aerospace Engine Engineering. She actively mentors graduate students and leads a research group focused on advancing rotating machinery technology.
Ruixuan Qin serves as Associate Professor in the Department of Chemistry at Xiamen University's College of Chemistry and Chemical Engineering, focusing on advanced catalytic systems for sustainable chemical production since 2022. Education background: PhD in Chemistry, Xiamen University (2013-2019) Bachelor's Degree, Sun Yat-Sen University (2009-2013) His research integrates heterogeneous catalysis with hydrogen science, specializing in parahydrogen-induced polarization techniques, hydrogen isotopic labeling, and separation processes. Work emphasizes fundamental surface mechanisms to enable green chemical synthesis through precise catalyst design. Analysis of 2023-2024 publications reveals dominant themes in palladium-based nanocatalysts for selective hydrogenation, with key innovations in oxygen vacancy engineering, surface ligand control, and atomically dispersed metal systems. Research consistently bridges theoretical modeling with experimental validation to optimize catalyst performance. Based at Xiamen University's National Engineering Laboratory for Green Chemical Productions of Alcohols-Ethers-Esters (NEL-AEE), his work directly supports sustainable industrial chemical processes through fundamental catalytic discoveries.
Dr. Longzhen Cheng is an Associate Professor at the Department of Neuroscience, School of Life Sciences, Southern University of Science and Technology (SUSTech) in Shenzhen, China. She joined SUSTech as an Assistant Professor in February 2018 and was promoted to Associate Professor in June 2025. Prior to joining SUSTech, she served as an Associate Professor at Fudan University's Institute of Brain Science from 2016 to 2018, where she established her own laboratory as a member of the "Junior PI Plan." She completed her postdoctoral training at Harvard Medical School under Dr. Qiufu Ma from 2013 to 2016. Dr. Cheng received her Ph.D. in Neurobiology from Fudan University (2005-2009), where she studied synaptic transmission and plasticity in the spinal dorsal horn under Dr. Zhi-Qi Zhao. She earned her M.S. in Physiology (2002-2005) and B.S. in Clinical Medicine (1997-2002) from Wannan Medical College in Anhui, China. Her research focuses on the neural mechanisms underlying pain and opioid effects. Specifically, her laboratory investigates: Neural mechanisms underlying mechanical pain hypersensitivity Neural mechanisms underlying opioid-induced mechanical pain hypersensitivity and analgesic tolerance Spinal circuits for somatosensory information processing Gating mechanisms for chronic pain Synaptic plasticity of spinal dorsal horn neurons Dr. Cheng's research employs a multidisciplinary approach combining genetic tools, behavior tests, and electrophysiological recordings in the spinal cord. Her work has revealed important insights into spinal circuits involved in touch-evoked dynamic mechanical pain and mechanisms for chronic pain. Her publications in Cell (2014), Nature Neuroscience (2017), Science (2015), and Neuron (2024) demonstrate her significant contributions to understanding pain mechanisms at the circuit level. Dr. Cheng has received several honors and awards, including: Fudan University Excellent Plan (2013) Junior PI Plan from Institute of Brain Science, Fudan University (2016) Her research has been supported by grants focusing on pain mechanisms and neural circuits. She teaches courses in Animal Physiology and Advanced Animal Physiology at SUSTech. Dr. Cheng's laboratory has made significant contributions to understanding the neural basis of chronic pain, particularly in identifying spinal circuits for mechanical pain and itch, and exploring how opioids affect pain processing.
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.
Li Junguo is a Research Professor at the School of Innovation and Entrepreneurship, Southern University of Science and Technology (SUSTech), where he also serves as Assistant Dean of the Clean Energy Institute. He joined SUSTech in 2019 and was promoted to Research Professor in January 2024. Prior to this, he worked as an Assistant Professor at the Institute of Coal Chemistry, Chinese Academy of Sciences (CAS) from 2014 to 2019. His academic journey began with a Bachelor's degree in Mineral Processing Engineering from China University of Mining and Technology in 2008, followed by a Ph.D. in Chemical Engineering and Technology from the University of Chinese Academy of Sciences, completed in January 2014. His educational background includes: 2004-2008: B.S. in Mineral Processing Engineering, China University of Mining and Technology 2009-2014: Ph.D. in Chemical Engineering and Technology, University of Chinese Academy of Sciences Professor Li's research focuses on the clean conversion of carbon-containing fuels , carbon materials development , fluidization engineering , and scale-up fundamentals . His work spans both fundamental and applied research, with particular emphasis on sustainable energy solutions that address carbon neutrality goals. He investigates pyrolysis and gasification characteristics of various fuels, develops high-performance carbon materials for diverse applications, and studies soil improvement techniques. His research on fluidized bed reactors explores flow characteristics and scale-up mechanisms critical for industrial applications. His publication record demonstrates a strong focus on sustainable energy solutions and carbon management. Recent work emphasizes green methanol production as a pathway to carbon neutrality, advanced biomass conversion technologies, and innovative approaches to coal water slurry processing. His research integrates chemical engineering principles with environmental sustainability goals, particularly addressing China's carbon reduction targets. The interdisciplinary nature of his work bridges energy engineering, materials science, and environmental remediation. Professor Li has received numerous honors and awards for his contributions to science and engineering: Second Prize for Innovation of the China Invention Association Entrepreneurship Award (2024) Academic Editor of the Journal of Fuel Chemistry and Technology (2021, 2023) Shenzhen High-level Professional Talent (Category D, 2019) Member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences (2019) "Shanxi Talent" Young Outstanding Talent (2019) Second Prize of Science and Technology Progress Award of Chinese Society of Particulate Science (2018) As a research leader, Professor Li has secured significant funding for his work, including projects under the National Key R&D Program, National Natural Science Foundation of China, and various industry collaborations. His current research portfolio includes high-value utilization of domestic sludge, key technologies for low-rank coal processing, and large-scale treatment of low-calorific-value municipal solid waste. He also serves as the project leader for the Shenzhen Low-Quality Coal Comprehensive Utilization Engineering Research Center. In addition to his research activities, he teaches graduate courses in Industrial Product Dissection and Transformation Practice and Engineering Ethics. Professor Li leads the Clean Energy Institute at SUSTech, where his team focuses on developing technologies for carbon-neutral energy systems. His laboratory work emphasizes practical applications of fundamental research, particularly in the areas of biomass conversion, coal utilization, and carbon material synthesis. The institute collaborates with both domestic and international partners to advance sustainable energy solutions.
Dr. Xiaohu Fang is an Assistant Professor at the School of Microelectronics , Southern University of Science and Technology. His research focuses on microwave and millimeter-wave RF front-end circuits, high-efficiency transmitters, and power amplifier linearization techniques for 4G/5G systems. Education: PhD in Electrical Engineering (2015), Chinese University of Hong Kong; MPhil (2011) and BEng (2008) in Electronic Science and Technology, Huazhong University of Science and Technology. Dr. Fang's research addresses critical challenges in RF integrated circuits , including: Design of GaN-based monolithic microwave integrated circuits (MMICs) for 5G/6G communication systems Development of high-efficiency, wideband power amplifiers with advanced linearization techniques Exploration of beamforming architectures and harmonic-isolation resonators His recent publications (2023-2024) highlight trends in Doherty amplifiers , Class-F/G designs , and millimeter-wave front-end solutions using GaN and SOI-CMOS processes. He serves as an IEEE Senior Member and reviewer for top-tier journals like IEEE TMTT and TCAS . Dr. Fang's work also includes a 2025 teaching award, demonstrating his dual impact in research and education. Scientific Awards: Pengcheng Peacock Program Category C Talent Postgraduate Scholarship of Hong Kong (2011-2014) Second Prize in the 9th Youth Teacher Teaching Competition and Provincial Teaching Innovation Competition (2025)
Professor GAO Yuzhu at Tongji University's Department of Electronic Science & Technology is a pioneer in semiconductor crystal growth techniques. With a PhD from Shizuoka University (2002), he developed the melt epitaxy (ME) method for InAsSb materials, enabling breakthroughs in long-wavelength infrared photodetectors and optoelectronic applications. His work has been recognized in publications, patents, and collaborations like the 2011 visiting professorship at Shizuoka University. Education: PhD in Electronic Engineering from Shizuoka University (2002) Research Focus: Specializes in semiconductor epitaxy and optoelectronic materials, particularly: InAsSb crystal growth via melt epitaxy Suppression of lattice mismatch effects Room-temperature infrared photodetectors Carrier mobility optimization in compound semiconductors Doping techniques for P-type materials Thermal annealing effects on crystal quality Publication Trends: His work spans material synthesis, device fabrication, and characterization over 25+ years, showing continuous innovation in epitaxy methods and infrared sensor development. Scientific Contributions: Developed melt epitaxy method for 8-12 µm cutoff wavelength materials Improved crystal mobility (>50,000 cm²/Vs) and purity Demonstrated uncooled photodetectors with 10⁻¹ µs response times Featured in WILEY book on liquid phase epitaxy advancements Professional Engagement: IEEE member (No. 94891511), with international collaborations including Stanford University's Prof. Robert who praised his melt epitaxy innovation in a 2001 letter.
Zhiyun Lin is Dean and Tenured Professor at the School of Automation and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech). He holds affiliations as Foreign Academician of the Russian Academy of Engineering, Fellow of IEEE, IET, and AAIA. Previously, he served at Zhejiang University (2007-2017) and Hangzhou Dianzi University (2017-2021), with visiting positions at Yale University, ANU, and University of Tokyo. Education: PhD in Electrical and Computer Engineering, University of Toronto (2005) MSc in Control Theory, Zhejiang University (2001) BSc in Industrial Automation, Yanshan University (1998) Research Focus: Develops theoretical frameworks for multi-agent coordination, distributed AI algorithms, and cyber-physical systems. His work enables robust autonomous swarm behaviors in robotics and sensor networks through novel control strategies and optimization techniques. Publications: 230+ papers predominantly in IEEE Transactions journals demonstrate sustained contributions to formation control, distributed localization, and networked systems. Recent works (2021) advance resilient beamforming and finite-time stabilization for robotic formations. Awards: Natural Science Second Prize, Zhejiang Province (2020, 2013) Science and Technology Innovation First Prize (2020) Industry-University-Research Cooperation Innovation Award (2021) Prestigious fellowships: IEEE/IET/AAIA Leadership: Directs SUSTech's School of Automation and Intelligent Manufacturing. Formerly established the Artificial Intelligence Institute at Hangzhou Dianzi University and led research centers at Zhejiang University. Serves as Associate Editor for IEEE Systems Journal and IEEE Control Systems Letters.
