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.
Dr. Xiong Yi is an Assistant Professor at the School of System Design and Intelligent Manufacturing (SDIM) at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He leads the Computational Design and Fabrication (CoDeFab) research group, focusing on the integration of computational design methods with advanced manufacturing technologies, particularly in the field of additive manufacturing. Dr. Xiong has established himself as a leading researcher in computational design for additive manufacturing, with a strong international research background spanning Europe and Asia. Dr. Xiong's educational journey includes: Doctor of Science (DSc) in Engineering Design and Production from Aalto University, Finland (2012-2016) Master of Science (MSc) in Machine Automation from Tampere University of Technology, Finland (2010-2012) Bachelor of Engineering (BEng) in Mechanical Engineering from Hubei University of Technology, China (2006-2010) Dr. Xiong's research primarily focuses on computational design and fabrication methodologies, with particular emphasis on design for additive manufacturing (DfAM), intelligent manufacturing systems, and smart materials. His work bridges the gap between theoretical design principles and practical manufacturing constraints, developing novel approaches for the production of complex engineered products. He has pioneered research in continuous fiber-reinforced composite additive manufacturing, developing innovative process planning and optimization techniques that enable the production of high-performance structural components. His research in electrothermally controlled origami and 4D printing of smart materials represents cutting-edge work at the intersection of materials science, mechanical engineering, and computational design. Dr. Xiong's recent publications reveal a strong focus on continuous fiber-reinforced composites, with significant contributions to 4D printing, metamaterials, and intelligent process planning. His work integrates computational design with manufacturing constraints, creating novel approaches for topology optimization, toolpath planning, and structural design that consider both performance requirements and manufacturability limitations. The research demonstrates increasing sophistication in materials science applications, particularly in programmable materials and multi-functional structures. Dr. Xiong has received multiple prestigious awards for his research contributions, including: Best Presentation Award at the 24th Chinese Conference on Mechanisms and Machine Science (IFToMM CCMMS2024) Best Presentation Award at the International Conference on Frontiers of Additive Manufacturing Research (RAAM 2024) Best Paper Award at the International Conference on Design for 3D Printing (ICD3DP 2023) PhD Scholarship from Aalto University (2016) Research Travel Grant from the International Association for Vehicle System Dynamics (IAVSD) (2013) National Scholarship from the Ministry of Education (2008) As a dedicated educator and mentor, Dr. Xiong serves as a PhD supervisor at SUSTech and has successfully guided students who have gone on to pursue advanced studies and careers at prestigious institutions including Hong Kong Polytechnic University, Beihang University, DJI Innovations, and Singapore's A*STAR research institute. His research is supported by multiple competitive grants, including key projects from the National Key R&D Program of China, the National Natural Science Foundation of China, and provincial and municipal funding agencies. Dr. Xiong also serves on the editorial board of the Journal of Engineering Design and as a guest editor for Composites Communications, contributing to the advancement of his field through scholarly service. Dr. Xiong leads the CoDeFab research group, which maintains a strong collaborative culture focused on 'design leading manufacturing, manufacturing driving design, and digital-intelligent integration.' The group has developed several advanced manufacturing platforms, including multi-axis continuous fiber-reinforced composite additive manufacturing systems, smart composite additive manufacturing platforms, and multifunctional soft matter open manufacturing platforms. With a focus on practical applications and innovation, the CoDeFab group actively collaborates with industry partners and has established a joint laboratory to bridge academic research with industrial implementation.
Dr. Wenjun Lu is an Associate Professor and Principal Investigator at Southern University of Science and Technology (SUSTech), with a focus on metallic materials design, advanced characterization, and mechanical property control. She completed her Ph.D. and B.Sc. at Imperial College London and served as a Postdoctoral Fellow at the Max Planck Institute for Steel Research under Dierk Raabe and Gerhard Dehm. Her research areas include: Metallic Materials Design and Additive Manufacturing Hydrogen Embrittlement and Corrosion Grain Boundary Engineering and Phase Transformation In-situ TEM and Spherical Aberration-Corrected STEM Key publication trends: Focus on lightweight steels, high-entropy alloys, and additive manufacturing Advanced characterization techniques (TEM/3D APT/Cryo-FIB) Mechanical behavior optimization through nanostructures Scientific Awards: Outstanding Young Scientist Award (2021) Top 2% Scientists in the World (2021) Outstanding Reviewer for Journal of Alloys and Compounds (2018) Research Leadership: National Natural Science Foundation of China (52371110) Ministry of Science and Technology Project (2022YFB4600700) Guangdong Provincial Fund (20231515011510)
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.
Professor Meng Qingchun is a second-level professor and doctoral supervisor at the School of Management, Shandong University. He leads the Digital Intelligence Management and Decision Simulation Laboratory (Class A) and focuses on emergency resource coordination, supply chain resilience, and disaster response strategies. His research has been supported by multiple National Natural Science Foundation projects and resulted in over 80 publications, including works in Transportation Research Part E , Production and Operations Management , and Risk Analysis . Key achievements include optimizing emergency material reserves, volunteer task allocation algorithms, and fairness-aware decision models. Education details are not explicitly mentioned in the provided texts, but his academic roles and publications indicate advanced training in operations research and management science. He serves as deputy secretary-general of the China Association for Optimization and chairs its Network Science Branch. His work bridges theoretical advancements with practical applications in disaster management and public policy. Research interests emphasize emergency governance, collaborative decision-making mechanisms, and government-enterprise partnerships. Recent projects address volunteer scheduling efficiency, risk integration under uncertainty, and loan subsidy policies post-disasters. His team’s work has been published in top-tier journals like Production and Operations Management (UTD 24) and Risk Analysis (ABS 4). Scientific awards include the National Teaching Achievement Award (2nd Prize) and Shandong Provincial Social Science Award (1st Prize). He has secured grants totaling four National Natural Science Foundation key/general projects and a National Social Science Foundation key project. His lab collaborates with industry leaders in manufacturing and public health, applying optimization theories to real-world challenges.
GE Qi is a tenured Associate Professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech) , Shenzhen, China. He joined SUSTech in June 2019 after serving as Assistant Professor at the Singapore University of Technology and Design (SUTD) and as Postdoctoral Research Fellow at MIT and University of Colorado at Boulder . Education Ph.D. in Mechanical Engineering, University of Colorado at Boulder, USA (2009–2012) M.Sc. in Solid Mechanics, Zhejiang University, China (2006–2008) B.Sc. in Engineering Mechanics, Tongji University, China (2002–2006) Dr. Ge’s research integrates additive manufacturing with soft-matter mechanics , focusing on 4D printing , functional 3D printing , mechanics of soft materials , intelligent materials , soft robotics , and flexible electronics . His work pioneers shape-memory polymers , self-healing materials , reprocessable thermosets , and mechanical metamaterials , bridging fundamental mechanics with scalable manufacturing technologies. His 50+ publications in journals such as Science , Nature Communications , Advanced Materials , PRL , and JMPS showcase a trajectory from ultra-light metamaterials to programmable soft actuators, reflecting a shift from structural optimization to multifunctional, stimuli-responsive systems. Scientific & Academic Awards 2020 Microsystems and Nanoengineering (MINE) Outstanding Speaker Award 2019 Guangdong Pearl River Talents Program – High-Level Talent 2019 Shenzhen Overseas High-Caliber Personnel (Level B) 2018 IAAM Young Scientist Medal 2013 Outstanding Ph.D. Dissertation Award 2012 & 2011 ASME Haythornthwaite Foundation Travel Awards As Principal Investigator, Dr. Ge has secured over 3.5 million SGD (~18 million RMB) in competitive grants while at SUTD and continues to lead multiple projects at SUSTech. He serves on editorial boards ( Polymers and Actuators ) and as a long-time reviewer for Nature , Science Advances , Nano Letters , and JMPS . His laboratory at SUSTech focuses on next-generation additive manufacturing platforms, integrating high-resolution digital light processing, chemo-mechanical modeling, and soft-robotic applications to advance programmable materials and sustainable manufacturing.
Deng Hui is a tenured Associate Professor and doctoral supervisor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech), where he serves as Director of the Shenzhen Semiconductor Special Equipment Engineering Research Center and the Huawei-SUSTech Ultra-Precision Manufacturing and Measurement Innovation Laboratory. He established the Plasma Advanced Manufacturing Laboratory (APMLab) in 2017 and leads research focused on atomic-scale precision manufacturing technologies. Education: Ph.D. in Precision Science & Technology, Osaka University (2016) M.A. in Precision Science & Technology, Osaka University (2013) B.Sc. in Mechanical Design and Automation, Huazhong University of Science and Technology (2010) Dr. Deng's research spans atomic and near-atomic scale manufacturing, with emphasis on plasma-assisted and electrochemistry-assisted hybrid machining techniques. His work bridges fundamental atomic-scale physical and chemical reactions with practical applications in semiconductor manufacturing. The research focuses on two complementary approaches: developing non-stress atomic-level material removal methods for microscale atomic-precision manufacturing, and implementing numerical control machining algorithms for macroscale nanometer-precision manufacturing. His innovations address critical challenges in semiconductor manufacturing where atomic-level surface control is essential. Analysis of his publication record reveals a consistent focus on plasma and electrochemical techniques for ultra-precision surface processing of challenging materials like silicon carbide, gallium nitride, and diamond. His work demonstrates progression from fundamental mechanisms to practical applications, with increasing emphasis on semiconductor manufacturing challenges in recent years. Selected Awards: Rudolf Kingslake Award from SPIE (2016) Multiple listings in "Top 2% Scientists in the World" (2020-2023) Best Paper/Presentation Awards from international conferences Japan Machine Tool Technology Promotion Award (2014) Dr. Deng actively mentors graduate students and has secured significant research funding for his laboratory. He serves on editorial boards for prestigious journals including International Journal of Extreme Manufacturing and Nanomanufacturing and Metrology. His laboratory maintains strong international collaborations, particularly with Osaka University in Japan, and has established partnerships with industry through the Huawei-SUSTech Innovation Laboratory. The Plasma Advanced Manufacturing Laboratory (APMLab) focuses on cutting-edge research in atomic-scale material processing, with particular emphasis on semiconductor manufacturing applications. The lab maintains state-of-the-art plasma processing equipment and collaborates closely with semiconductor industry partners to address real-world manufacturing challenges requiring atomic-level precision.
Jiantao Fan is a Research Associate Professor at the College of Science , Southern University of Science and Technology (SUSTech). With expertise in polyelectrolyte membrane research for fuel cells and water electrolysis systems, his work focuses on ion exchange membranes, membrane electrode assembly (MEA) engineering, and alkaline/hydrogen energy systems. He holds affiliations with key organizations including the Shenzhen Hydrogen and Fuel Cell Association (Vice President) and is recognized as a Class-B Shenzhen Peacock Plan talent. Education : PhD (2009-2014) and BSc (2005-2009) from Beijing University of Chemical Technology Postdoctoral : Simon Fraser University (2014-2017) His research explores sterically protected poly(arylimidazolium)s for alkaline stability, 3D MEA architectures , and water-retentive proton exchange membranes . Publications in Nature Energy , Nature Communications , and Energy & Environmental Science highlight advancements in membrane conductivity and durability. Scientific honors include: Core member of Guangdong Innovative and Entrepreneurial Research Team Program Committee member of Sichuan Provincial Key Laboratory Principal Investigator for China's National Key R&D Program His work spans national projects like the 863 Program and 973 Program , addressing challenges in fuel cell longevity and hydrogen energy systems.
Dr. Yuan Chen serves as an Assistant Professor at Southern University of Science and Technology in the School of System Design and Intelligent Manufacturing. He obtained his PhD in Aerospace Engineering from the University of Sydney in 2019 and completed postdoctoral research there before joining SUSTech in 2022. Education: PhD in Aerospace Engineering, University of Sydney (2015-2019) ME in Mechanical Engineering, Hunan University (2012-2015) Dr. Chen's research focuses on composite materials and advanced manufacturing. His work spans multiple interconnected areas including: Mechanism analysis and damage modeling for composites Additive manufacturing of continuous fiber reinforced composites Topology optimization and structural design of composites Multiscale modeling and experimental techniques Design and intelligent manufacturing of innovative metacomposites Non-destructive testing methods for composite structures His recent publications demonstrate a strong focus on 3D printing of carbon fiber composites, mechanical metamaterials, and structural optimization. The research shows progression from fundamental mechanical analysis of composite structures toward advanced manufacturing techniques and innovative material designs with specialized properties like negative Poisson's ratios and thermal-dimensional stability. Scientific Awards: Best Oral Presentation, 6th International Conference on Material Strength and Applied Mechanics (2023) Pengcheng Peacock Plan, Shenzhen Government (2022) Travel Award, Multidisciplinary Digital Publishing Institute (2022) Best Oral Presentation, 4th International Conference on Material Strength and Applied Mechanics (2021) Young Scientist Medal, International Association of Advanced Materials (2021) World's Top 2% Scientists (2024) Dr. Chen serves as Editor-in-Chief for Advanced Manufacturing: Polymer & Composites Science and is on the editorial boards of several other journals. He has been supported by multiple prestigious grants including the National Natural Science Foundation of China, National Key Research & Development Program of China, and Guangdong University Key-Area Special Program. He is actively involved in mentoring students and has established the Chen Garden research group focusing on advanced composite materials. Dr. Chen maintains strong international collaborations with researchers in Australia, the UK, Germany, and other countries, and is a member of several professional societies including the Royal Aeronautical Society and the European Materials Research Society.
Chen Jia is a Lecturer at Tongji University's School of Art and Media. He holds a Master's degree in French horn from Mainz Conservatory of Music and Mannheim State Conservatory of Music, studying under renowned professors such as Xiaoming Han and Hermann Baumann. He has served as principal horn in multiple orchestras and co-founded the Tongji University Music Boat Woodwind Quintet. Education: Master's in French Horn (Mainz Conservatory, Mannheim State Conservatory) Professional Affiliations: Member of Mannheim Blech ensemble, Principal Horn for multiple orchestras His research interests include music education and orchestral performance, though his recent publications focus on computational fluid dynamics, electrohydrodynamics, and microfluidics. Key topics include lattice Boltzmann modeling, viscoelastic fluid dynamics, and electrohydrodynamic flow control. Scientific contributions span interdisciplinary domains, with work on physics-informed neural networks for microfluidic systems and polymer 3D printing challenges. Collaborative projects involve international ensembles and computational simulations.
Xiao ZHANG is a Faculty Tutor at the School of Civil Engineering, Shandong University, specializing in advanced robotics, teleoperation systems, and machine learning applications in manufacturing. Their work bridges human-robot interaction, surgical robotics, and materials engineering. Research focuses on improving precision in telemanipulation, optimizing additive manufacturing processes, and developing context-aware robotic systems for healthcare and industrial automation. Key research interests include gaze-based control mechanisms, intent recognition in human-robot collaboration, and AI-driven quality assessment in manufacturing. Xiao ZHANG has extensively explored applications of neural networks and multi-agent systems to enhance robotic dexterity and safety, particularly in scenarios requiring real-time adaptation like laparoscopic surgery and autonomous vehicles. Recent Trends: Recent publications emphasize integrating machine learning with traditional manufacturing processes (e.g., laser additive manufacturing) and advancing human-centric robotics through shared control frameworks. Awards: No specific awards listed, but contributions span over two decades of peer-reviewed work. Grants/Advising: No explicit grants or student advisees mentioned in the provided text. Labs/Teams: Affiliated with robotics and manufacturing research groups at Shandong University, focusing on experimental and computational methods.
张帏 is a Tenured Professor in the Department of Innovation, Entrepreneurship and Strategy at Tsinghua University’s School of Economics and Management (SEM) , where he also serves as Deputy Head of Department . In addition, he is Deputy Director of the China Entrepreneurship Research Center , founding director of Tsinghua x-lab , and holds multiple research affiliations across Tsinghua’s governance, private equity and economic research centers. Education: 1995 – B.Eng., Tsinghua University 1998 – M.Eng., Tsinghua University 2002 – Ph.D. in Management, Tsinghua University 2004 – Visiting Scholar, Stanford Graduate School of Business 2011-2012 – Fulbright Scholar & International Visiting Faculty, MIT Sloan School of Management Research Focus: Professor Zhang’s work lies at the intersection of entrepreneurship management, venture capital and emerging industry development . His recent projects examine how digital technologies reshape business-model design for grand societal challenges, how legitimacy is built for new products in established markets, and the governance of entrepreneurial teams and venture-capital syndicates in China’s institutional context. His scholarship has consistently explored institutional entrepreneurship, venture-financing ecosystems, and innovation policy , producing highly-cited studies on the emergence of China’s solar-PV industry and the evolution of its venture-capital system. Scientific Awards & Honors: 2024 – Tsinghua University Advanced Worker 2024 – SEM Teaching Excellence Award (First Prize) 2023 – Academy of Management Best Paper Award 2020 – Tsinghua Excellent Textbook Award (First Prize) for Entrepreneurship Management 2017 – National Higher Education ‘Wonderful Lesson’ First Prize 2016 – AIE Best Paper Award 2015 – China Newsweek ‘Dual-Creation Figure of the Year’ Advising & Grants: Professor Zhang has supervised numerous Ph.D. and master’s students whose theses have received university-wide distinctions. He leads or participates in national-level research grants on entrepreneurship education reform and innovation-driven development strategies. Under his guidance, Tsinghua student teams have won international business-plan competitions (Intel-Berkeley, USF, Bangkok) and launched ventures now tracked as benchmark cases. Laboratory & Teams: As the founding director of Tsinghua x-lab —the university’s first university-wide platform for creativity, innovation and entrepreneurship—he oversees an ecosystem that connects students, alumni, faculty and industry mentors. He also heads the Faculty Representative Group of SEM’s 9th Faculty Representative Conference, shaping governance and strategic initiatives at the school level.
Dr. Asit Kumar Gain is a Research Associate Professor at the Department of Southern University of Science and Technology (SUSTech) in Shenzhen, China. He has held academic positions at UNSW Australia and City University of Hong Kong. Current Affiliation: Department of Mechanics and Aerospace Engineering, SUSTech Prior Appointments: UNSW Australia (2013-2021), City University of Hong Kong (2011-2013) Education: PhD in Materials Science, City University of Hong Kong (2011) Research Focus: Developing defect-free microlens arrays , bone-like pore-gradient scaffolds , environmentally friendly electronic packaging materials , and 3D-printed nanocomposites for biomedical applications. Scientific Awards: Three-time recipient of 'Outstanding Academic Performance Award' at City University of Hong Kong Publications: Over 30 peer-reviewed articles focusing on additive manufacturing, tribology, and material reliability in biomedical and microelectronic systems.
CHENG Qingsha is an Associate Professor at the Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China. He also holds an Adjunct Professorship at the University of Regina, Canada. With over 26 years of experience, he is a globally recognized expert in surrogate modeling, space mapping, and microwave device optimization. Education: Ph.D. in Electrical and Computer Engineering, McMaster University, Canada (2004) M.Eng. in Automation, Chongqing University, China (1998) B.Eng. in Automation, Chongqing University, China (1995) Research Interests: Dr. Cheng's research spans a wide range of topics in electromagnetic engineering and computational design. His primary focus includes surrogate modeling , space mapping optimization , rapid prototyping , and 3D printing for microwave and antenna applications. He has made foundational contributions to the Space Mapping algorithm , which has become a cornerstone in microwave CAD. His work also extends to AI-assisted optimization , metasurface antennas , millimeter-wave systems , and electromagnetic compatibility . Scientific Awards & Honors: IEEE Senior Member Member of Professional Engineers Ontario Associate Editor, International Journal of Numerical Modelling: Electronic Networks, Devices and Fields Co-organizer and Chair of multiple IEEE workshops and symposiums Teaching & Mentorship: Dr. Cheng has taught a broad range of courses including Signals and Systems , Advanced Microwave Engineering , Antenna Theory and Techniques , and Engineering Ethics . He has supervised over 30 graduate students and postdocs, many of whom have co-supervised with international collaborators from HKUST, NUS, CityU, University of Birmingham, and University of Regina. Lab & Team: He leads the Cheng Lab at SUSTech, which focuses on surrogate-based modeling and optimization for microwave and antenna systems. The lab is actively recruiting postdocs, PhD students, and research engineers.
Dr. Li Xinggang is a Research Professor and Doctoral Supervisor at the Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China. His academic career spans multiple institutions including China National Research Institute for Materials Science and Technology (formerly GRINM), and Leibniz-Institut für Werkstofforientierte Technologien (IWT) in Germany. Current: Research Professor (May 2023–present) Previous: Research Associate Professor (2020–2023), Research Assistant Professor (2018–2020) Education: Ph.D. in Process and Chemical Engineering, University of Bremen (2014) M.Eng. in Materials Science & Engineering, University of Science and Technology Beijing (2009) B.Eng. in Materials Science & Engineering, University of Science and Technology Beijing (2007) Research Interests: Dr. Li specializes in metal powder materials for additive manufacturing, with a focus on melt atomization (gas, centrifugal, plasma), metal additive manufacturing (3D printing), advanced powder metallurgy techniques, and multiphase flow simulation. His work bridges fundamental atomization physics with industrial applications in aerospace and nuclear engineering. Key technologies: Coupled pressure-gas atomization, satellite particle control Application areas: Superalloy production, low-activation nuclear reactor materials Simulation focus: Heat/mass transfer, droplet dynamics Publication Trends: His research portfolio (1 monograph, 3 book chapters, >80 papers) shows a progression from fundamental atomization modeling (2011–2017) to applied 3D printing studies (2019–2024), with consistent emphasis on process optimization and material characterization. Scientific Recognition: 2020 Shenzhen Overseas High-Level Talent (Peacock Plan Category C) 2017 Beijing Nova Program 2013 Best Poster Award (PARTECH) 2022 Outstanding Reviewer, China Science and Technology Journal Excellence Plan Advising and Grants: As a Doctoral Supervisor, he mentors graduate students like Liu Chang (2019 Outstanding Young Paper Award). He has secured >10 major grants including National Natural Science Foundation projects, Shenzhen Technical Research grants, and GF Science and Technology Bureau initiatives. Labs and Teams: Based in Room N425, North Building at SUSTech, he leads research in metal powder equipment development (e.g., China's first coupled pressure-gas atomization system) and collaborates with international institutions like IWT-Bremen. His team works on both academic research and corporate partnerships.
