جست‌وجوی استاد و پژوهشگر

• Operations Research
• Operations Management
• Queuing Theory
• +۶ مورد دیگر

Yang Liu is a Tenured Associate Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management, concurrently serving as an Adjunct Associate Professor at Johns Hopkins School of Public Health since 2018. His academic trajectory includes progression from Assistant Professor (2010-2014) to Associate Professor (2014-present) at Tsinghua, reflecting sustained scholarly impact in operations research and management science. Education: PhD in Decision Sciences, Duke University (2010) MS in High Performance Computing, National University of Singapore (2004) BE in Electronic Information Engineering, Tsinghua University (2003) Professor Liu's research integrates queuing theory, behavioral economics, and data analytics to solve critical problems in digital economies and healthcare systems. His work examines customer behavior in multi-channel retail, live-streaming commerce dynamics, and pandemic resource allocation, emphasizing practical applications of operations management principles. Recent projects focus on algorithmic recommendations in live-streaming platforms and data-sharing value for small businesses on digital marketplaces. His publication pipeline shows strong momentum with four 2024 working papers targeting Management Science, examining live-streaming e-commerce, Cournot competition, and digital platform analytics. This builds on established work in service operations (2023), mobile commerce (2020), and healthcare resource allocation (2009), demonstrating consistent evolution from theoretical foundations to contemporary digital economy challenges. Scientific Awards: Johns Hopkins Teaching Excellence Award (2019) Tsinghua Advanced Worker Award (2013) Duke Doctoral Scholarship (2004-2009) Singapore Government Scholarship (2003-2004) Professor Liu actively mentors graduate students through doctoral seminars and advanced statistics courses while maintaining robust industry collaborations, particularly with Alibaba. His role as Associate Editor for Management Science underscores his academic leadership. Current research focuses on behavioral operations in digital platforms, supported by active working papers under review at top journals, indicating substantial ongoing research activity and funding. Though no dedicated lab is specified, Professor Liu leads research within Tsinghua's Department of Management Science and Engineering, leveraging cross-institutional partnerships with Johns Hopkins and industry players like Alibaba to advance data-driven operations management in rapidly evolving digital ecosystems.

• Surrogate Modeling
• Space Mapping
• Microwave Device Optimization
• +۳ مورد دیگر

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.

• Ultrafast manipulation of electronic properties
• Ultrafast manipulation of magnetic properties
• Ultrafast manipulation of phononic properties
• +۴ مورد دیگر

GU Mingqiang is a Research Associate Professor in the Department of Physics at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He received his PhD in Physics from Nanjing University in 2014 under the supervision of Professor Wu Xiaoshan and conducted postdoctoral research at Northwestern University with James Rondinelli as co-advisor. His educational background includes a BS in Mechanical Engineering from South China University of Technology (2004-2008) and a PhD in Physics from Nanjing University (2008-2014), with additional research experience as a Visiting Scholar at Indiana State University (2011-2013). Professor GU's research focuses on exotic electronic states in strongly correlated and topological materials using first-principles calculations. His major research interests include: Ultrafast manipulation of electronic, magnetic, and phononic properties using lasers Band topology and topological structure of material energy bands Design and regulation of strongly correlated oxide materials and topological materials His publication record demonstrates consistent contributions to top journals in condensed matter physics, with research spanning ultrafast control of materials, topological states, and correlated electron systems. His work shows a progression from fundamental superlattice studies to more recent applications of ultrafast techniques for controlling material properties on picosecond timescales. His notable scientific recognition includes: 2020 Shenzhen Overseas High-level (Peacock Plan) Category B Talent Introduction Professor GU has developed innovative computational methods including a density functional theory-based time-dependent density matrix Liouville equation scheme (TDLDFT) for studying charge transfer after photoexcitation and methods for calculating one-dimensional edge states in three-dimensional materials using Wannier orbitals. His research combines theoretical development with experimental collaboration, as evidenced by his publications in journals like Nature Materials and Science.

• Computational Intelligence
• Evolutionary Multi-objective Optimization
• Evolutionary Machine Learning
• +۵ مورد دیگر

Professor Hisao Ishibuchi is Chair Professor of Computer Science and Engineering at Southern University of Science and Technology (SUSTech) in Shenzhen, China, a role he has held since April 2017. Previously, he spent nearly three decades at Osaka Prefecture University, progressing from Research Associate (1987-1993) to Assistant Professor (1993), Associate Professor (1994-1999), and full Professor (1999-2017). He is an IEEE Fellow , served as Vice-President of the IEEE Computational Intelligence Society (2010-2013) , and is currently President of the Japan Society for Evolutionary Computation (2016-2018) . He is Editor-in-Chief of IEEE Computational Intelligence Magazine (2014-2019) and the Journal of the Japan EC Society (2014-2018). Education: Ph.D. in Engineering, Osaka Prefecture University, 1992 M.S. in Engineering, Kyoto University, 1987 B.S. in Engineering, Kyoto University, 1985 Research Focus: Professor Ishibuchi is internationally recognised as a pioneer of computational intelligence , with seminal contributions to evolutionary multi-objective optimisation , evolutionary machine learning , fuzzy systems , neural networks , and hybrid intelligent systems . He introduced the first multi-objective memetic algorithm and early methods for multi-objective fuzzy rule-based classifier design that balance accuracy and interpretability. Publications & Impact: With over 100 journal papers in top-tier venues such as IEEE Transactions on Evolutionary Computation and nearly 500 conference papers, his work has attracted more than 24 000 Google-Scholar citations and an h-index of 68. His recent articles concentrate on many-objective optimisation, fuzzy machine learning, and transfer learning techniques. Honours & Awards: IEEE Computational Intelligence Society Fuzzy Systems Pioneer Award 2019 IEEE Fellow 2014 JSPS Prize 2007 (Japan’s most prestigious mid-career award) Multiple Best Paper Awards from GECCO, FUZZ-IEEE, SCIS & ISIS, WAC, ACIIDS, HIS-NCEI, and others Teaching & Mentoring: At SUSTech he teaches Advanced Algorithms and Advanced Optimization Algorithms , covering greedy algorithms, hyper-heuristics, memetic algorithms, multi-objective optimisation, and performance assessment. His research group actively recruits post-doctoral fellows and research assistants in evolutionary computation, fuzzy systems, and neural networks. Labs & Teams: He leads the Computational Intelligence Research Group at SUSTech, maintaining active collaboration networks across Asia, Europe, and North America, and supervising several post-doctoral researchers and graduate students working on next-generation intelligent systems.

• Chemical Biology
• Organic Chemistry
• Medicinal Chemistry
• +۷ مورد دیگر

JIA Tiezheng is an Associate Professor in the Department of Chemistry at Southern University of Science and Technology (SUSTech). He earned his Ph.D. in Organic Chemistry from the University of Pennsylvania (2015), where he studied palladium-catalyzed C-C and C-S bond formation under Prof. Patrick J. Walsh. Prior to joining SUSTech in 2017, he conducted postdoctoral research at Caltech (2015-2017) on DNA chemical biology with Prof. Peter B. Dervan. Ph.D., Organic Chemistry (2012-2015), University of Pennsylvania M.S., Pharmaceutical Chemistry (2003-2006), Ocean University of China B.S., Pharmaceutics (2000-2003), Ocean University of China His research spans chemical biology and organic methodology . The chemical biology branch targets DNA mismatches in cancer cells using pyrrole-imidazole polyamides (PIPs), while the methodology branch focuses on transition metal catalysis for synthesizing sulfoxides, sulfones, and sulfoximines. His work also explores non-catalytic organic transformations. Publications include pioneering studies on palladium-catalyzed sulfenate anion chemistry and DNA-targeted anti-cancer agents. His lab trains one postdoc, five Ph.D. students, three master’s students, and four undergraduates. He teaches Chemical Biology at both undergraduate and graduate levels. Contact: Room C4041, School of Science, SUSTech; Email: jiatz@sustech.edu.cn ; Phone: 0755-88018376.

• Robotics
• Mobile Robotics
• Robot Manipulation
• +۶ مورد دیگر

Jia Zhenzhong is an Assistant Professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech), where he has been employed since September 2019. His research focuses on robotics, control systems, and intelligent automation with applications spanning medical robotics, mobile robots for extreme environments, and advanced manufacturing. Dr. Jia received his academic training from prestigious institutions: Ph.D. in Naval Architecture and Ocean Engineering (Control Engineering) from University of Michigan (2014) Master's in Applied Mathematics from University of Michigan (2014) Master's in Mechanical Engineering from University of Michigan (2009) Master's in Mechanical and Electronic Engineering from Tsinghua University (2007) Bachelor's in Measurement and Control Technology and Instrumentation with a minor in Computer Science from Tsinghua University (2005) Dr. Jia's research spans three main interconnected domains that reflect his expertise in both theoretical foundations and practical applications of robotics and control systems. His work in robotic manipulation addresses fundamental challenges in dexterous manipulation, assembly tasks, and logistics automation. In mobile robotics , he has made significant contributions to terrain interaction modeling, particularly for extraterrestrial environments like Mars and the Moon, as well as for autonomous vehicles operating under challenging conditions. His research in intelligent control bridges traditional control theory with modern machine learning techniques, with particular focus on model predictive control, reinforcement learning, and their applications in energy systems and autonomous decision-making. His publication record demonstrates a consistent trajectory of impactful research that bridges theoretical innovation with practical engineering applications. The publications show increasing sophistication in modeling techniques, particularly in terrain-vehicle interactions and robotic manipulation. There's a clear evolution from fundamental modeling work to more complex system integration and application-specific implementations. His research consistently addresses real-world challenges in robotics, from medical applications to space exploration and industrial automation. Dr. Jia has received several notable honors throughout his career: 2007 Department Fellowship, Department of Mechanical Engineering, University of Michigan, USA 2005 Outstanding Graduate of Tsinghua University Dr. Jia has led and participated in numerous research projects funded by prestigious organizations including the Beijing Science and Technology Commission, the National Natural Science Foundation of China (NSFC), the 863 Program, the US Army/Navy, the National Science Foundation (NSF), and Foxconn Technology Group. His research portfolio demonstrates strong interdisciplinary connections between robotics, control theory, and practical engineering applications across multiple domains. He has published over 20 academic papers, obtained numerous invention patents, and translated four renowned textbooks, including "Modern Robotics." His laboratory work focuses on developing advanced robotic systems for manipulation and mobility challenges, with particular emphasis on applications requiring high precision in unstructured environments. Current research directions include improving robotic dexterity for assembly tasks, enhancing mobile robot navigation in challenging terrains, and developing more efficient control algorithms that integrate learning with traditional control frameworks.

• Digital transformation
• Digital innovations
• Digital platforms and ecosystems
• +۴ مورد دیگر

Weiling Ke is a tenured Professor at the College of Business, Southern University of Science and Technology (SUSTech), where she joined in 2020 as the founding head of the Department of Information Systems & Management Engineering. She holds a prominent position in the academic community with extensive publication records in top-tier information systems and management journals. Education Background: Ph.D. in Information Systems, National University of Singapore M.S. in Information Systems and Computer Science, National University of Singapore M.S. in Economics, The University of Texas at Austin B.A. in Economics, Xiamen University Professor Ke's research primarily focuses on digital transformation, digital innovations, and digital platforms and ecosystems. Her work examines how information technology enables organizational innovation, particularly in supply chain management, enterprise systems implementation, and digital platform ecosystems. She has developed significant theoretical contributions regarding construal level theory applications in technology adoption contexts and resource orchestration perspectives in IT capability development. Her research methodology spans empirical studies using both quantitative and qualitative approaches, often incorporating theories from organizational behavior, strategic management, and consumer psychology. Professor Ke has published extensively in premier journals including MIS Quarterly, Information Systems Research, Journal of Operations Management, Journal of Management Information Systems, and Journal of Business Ethics. Her publication portfolio demonstrates a consistent trajectory of high-impact research addressing contemporary challenges in information systems and digital transformation. Editorial Service: Senior Editor or Associate Editor of Decision Support Systems Senior Editor or Associate Editor of Information & Management Senior Editor or Associate Editor of IT & People Senior Editor or Associate Editor of Information Systems Journal Professor Ke has served as an advisor to numerous research projects and has collaborated extensively with scholars worldwide, particularly with researchers from National University of Singapore. Her editorial roles in top journals reflect her standing as a thought leader in the information systems field. While specific grant information isn't detailed in the provided text, her extensive publication record suggests successful research funding throughout her career. As founding head of the Department of Information Systems & Management Engineering at SUSTech, Professor Ke has played a pivotal role in establishing and developing this academic unit, shaping its research direction and educational programs to address the growing importance of information systems in business management.

• Water Pollution Control Technologies
• Nitrogen-Phosphorus Geochemistry
• Functional Materials for Environmental Remediation
• +۳ مورد دیگر

Kong Lingchao , a Research Assistant Professor at Southern University of Science and Technology (SUSTech) , is a Shenzhen Overseas High-Level Talent (Category C) with expertise in water pollution control technologies and nitrogen-phosphorus geochemistry. His work combines Theoretical research on element cycling Applied innovation in environmental remediation Development of functional materials Single-cell Raman-isotope methodologies Research highlights include leading 7 funded projects such as: NSFC project on phosphate-solubilizing bacteria Shenzhen Innovation Talent Project Key Technology R&D Program of Shenzhen State Key Laboratory Open Project and 2 patents on phosphorus removal materials. His recent publications focus on: Nanofiber-based composite materials Layered double hydroxides (LDH) systems Photocatalytic membranes MXene applications in Fenton systems with over 30 SCI publications (H-index 21) . Scientific service includes: Young Editorial Board Member of Sustainable Horizons Peer reviewer for Chemical Engineering Journal Environmental Science & Ecotechnology Applied Clay Science

• Computational Mechanics
• High-Performance Computing
• Nanomechanics
• +۳ مورد دیگر

LU Chun serves as Chair Professor in the Department of Mechanics and Aerospace Engineering at Southern University of Science and Technology's College of Engineering. Previously, he held leadership roles as Director of International Sector at King Abdullah University of Science and Technology (2008-2015) and Senior Research Fellow/Director of Research Department at Singapore High-performance Computing Research Institute (1997-2008). His academic foundation includes: Doctorate in Mechanical Engineering, National University of Singapore (1991-1994) Master's in Mechanics Engineering, Beijing Institute of Technology (1984-1987) Bachelor's in Mechanics, Peking University (1980-1984) Professor LU's research integrates Computational Mechanics , High-Performance Computing , and Nanomechanics to solve complex problems in biomedical engineering and advanced materials. His pioneering work on nonlocal elasticity models enables accurate simulation of nanoscale phenomena, while his biomechanics research directly impacts vascular stent design and flexible electronics development. Current investigations focus on multiscale modeling techniques bridging quantum effects to macroscopic behavior in nanomaterial systems. His publication trajectory (2006-2010) demonstrates consistent innovation across interdisciplinary boundaries, with significant contributions to Science , Nano Letters , and specialized mechanics journals. Key thematic evolution shows progression from fundamental nanomechanics (2006-2007) to applied biomedical solutions (2010), reflecting strategic integration of computational methods with practical engineering challenges. Major recognitions include: Firefly Leadership Development Scholarship (Singapore Ministry of Trade and Industry) Golden Prize for High-Performance Computing (Singapore) Golden Prize at CAD Symposium (Australia) Professor LU's leadership extends beyond research through international collaboration initiatives established during his KAUST tenure. While specific grant details aren't provided, his award portfolio indicates sustained funding for high-impact computational research projects. His laboratory work focuses on computational simulation environments for nanomechanical systems, utilizing high-performance computing resources to model carbon nanotube behavior and biomedical device interactions without physical prototyping constraints.

• Melt Atomization for Powder Production
• Metal Additive Manufacturing
• Powder Metallurgy
• +۳ مورد دیگر

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.

• Wide Bandgap Semiconductors
• Gallium Nitride (GaN) Devices
• Monolithic Integration
• +۳ مورد دیگر

Dr. Yuefei Cai serves as an Assistant Professor in the Department of Electronic and Electrical Engineering within the School of Engineering at Southern University of Science and Technology (SUSTech), a position he assumed in July 2022. His research expertise lies in wide bandgap semiconductor technology, with a specialization in gallium nitride (GaN) devices encompassing design, fabrication, characterization, and monolithic integration for advanced electronic and optoelectronic applications. His academic qualifications are as follows: Ph.D. in Electronic and Computer Engineering, Hong Kong University of Science and Technology (2013-2018) M.S. in Physical Electronics, Harbin Institute of Technology (2011-2013) B.E. in Electronic Science and Technology, Harbin Institute of Technology (2007-2011) Dr. Cai's primary research areas include wide bandgap semiconductors, particularly GaN-based high-electron-mobility transistors (HEMTs) and light-emitting diodes (LEDs). He explores monolithic integration of these devices for microdisplays, novel acousto-optoelectronic systems, and photonic-electronic fusion chips. His work bridges fundamental semiconductor physics with practical applications in high-efficiency lighting, high-speed communication, and integrated optoelectronics. His publication record demonstrates consistent innovation in compound semiconductor technology, with research trends emphasizing GaN-based monolithic integration for optoelectronic systems. Key fields span semiconductor device physics, micro-LED technology, and photonic integration, with recent work focusing on resonator-waveguide systems and high-bandwidth microdisplay architectures. His articles frequently address challenges in material interfaces, device performance optimization, and novel integration methodologies. Professional recognition includes features in leading technology media such as IEEE Spectrum and Semiconductor Today. His conference presentations at premier venues like IWN and ICNS highlight his active engagement with the compound semiconductor research community. Dr. Cai contributes to academic service as a reviewer for Photonics Research and Nature Electronics. His professional affiliations include Senior Membership in IEEE and membership in Optica, reflecting his commitment to advancing semiconductor research and education. Dr. Cai's research activities are centered within SUSTech's Department of Electronic and Electrical Engineering, leveraging institutional resources for semiconductor device development and characterization.

• Experimental Fluid Dynamics
• Microscale Fluid Mechanics
• Electrohydrodynamics
• +۵ مورد دیگر

Deng Weiwei is a Professor and Department Head of the Department of Mechanics and Aerospace Engineering at Southern University of Science and Technology (SUSTech) in Shenzhen, China. Previously, he served as an Associate Professor with tenure at Virginia Tech (2015-2017) and as an Assistant Professor at the University of Central Florida (2010-2015). He completed his postdoctoral training at Yale University (2008-2010) after earning his Ph.D. in Mechanical Engineering from Yale in 2008. His educational background includes: Bachelor of Engineering Mechanics from Tsinghua University (1995-1999) Master of Engineering Mechanics from Tsinghua University (1999-2001) Ph.D. in Mechanical Engineering from Yale University (2003-2008) Deng's research focuses on experimental fluid dynamics of micro- and nanoscale systems , particularly examining droplets, jets, and thin films. His work bridges fundamental fluid mechanics with practical applications in printing technologies, solar cell fabrication, and advanced manufacturing. He has made significant contributions to understanding electrohydrodynamic phenomena, droplet impact dynamics, and the controlled generation of microstructures through electrospray techniques. His laboratory has discovered novel fluid dynamics phenomena, including the resonance between light pressure perturbations and droplet instability, leading to uniform droplet splitting. The team also pioneered "electrofluidic disk atomization," using high-frequency AC electric fields to control jet instabilities. These discoveries have enabled more precise control over droplet generation processes, with applications in microfabrication and printing. Deng's scholarly output shows a clear progression from fundamental electrohydrodynamics to applied manufacturing technologies. His early work focused on basic electrospray mechanisms and droplet generation, while more recent publications emphasize applications in solar cell fabrication, flexible electronics, and advanced printing techniques. The consistent thread throughout is the manipulation of microscale fluid phenomena for technological advancement. His notable recognition includes: NSF CAREER Award (2015) Deng leads an active research group that has secured multiple major grants, including a National Natural Science Foundation of China special project (2020), a key project (2019), and a general project (2018). Prior to returning to China, he led three National Science Foundation projects in the United States. His student entrepreneurial team won first prize in the Southeast region of the Clean Energy Entrepreneurship Competition sponsored by the U.S. Department of Energy, receiving $100,000 in startup funding and an invitation to visit the White House. The DENGLab at SUSTech focuses on experimental fluid mechanics research with emphasis on microscale phenomena. The lab regularly hosts photography competitions to document fluid phenomena visually, demonstrating Deng's commitment to both scientific rigor and creative presentation of research findings.

• Organometallic Chemistry
• Radical Chemistry
• Small Molecule Activation
• +۳ مورد دیگر

Zhihong Deng is a Research Assistant Professor at the Shenzhen Grubbs Institute, Southern University of Science and Technology, affiliated with the Department of Chemistry in the Faculty of Science. His work focuses on organometallic chemistry, free radical chemistry, and small molecule activation (O 2 , NO x ). B.S., Hunan University of Science and Technology (2012) M.S., Hunan University of Science and Technology (2015) Joint Master’s Program, Xiamen University (2016) Ph.D., Xiamen University (2020) His research investigates organometallic frameworks for oxygen activation, nitrogen oxide transformations, and radical-mediated reactions. He has developed metallacycles for dioxygen activation and explored cycloaddition mechanisms with metallapentalynes. Key publication trends include metallapentalenoxazetes synthesis, osmium-peroxo complexes for hypoxic tumor therapy, and metallacyclopentadiene reactivity studies. His work bridges coordination chemistry with biomedical applications. Second Prize for Outstanding Paper at the 8th Hunan Postgraduate Innovation Forum (2015) Outstanding Poster Award at the 21st National Symposium on Organometallic Chemistry (2022) He contributes to scientific research through collaborations at the Shenzhen Grubbs Institute and the Department of Chemistry, focusing on metallacycle-based reaction design and characterization.

• Bipedal Robotics
• Humanoid Robotics
• Powered Prosthesis
• +۵ مورد دیگر

Prof. Chenglong Fu is the Head of the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech) and Director of the Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems. He obtained his B.S. in Mechanical Engineering from Tongji University (2002) and Ph.D. in Precision Instruments and Mechanology from Tsinghua University (2007). His academic roles include serving as an Associate Editor for Robotica and leadership positions in IEEE conferences. Education : Tsinghua University (Ph.D.), Tongji University (B.S.) Current Positions : Head of Department, SUSTech; Director of Shenzhen Key Lab As a leading researcher in humanoid and assistive robotics , Prof. Fu investigates predictive principles of dynamic walking in complex environments. His work bridges robotics, biomechanics, and rehabilitation engineering , focusing on powered prostheses, exoskeletons, and SuperLimbs for load carriage efficiency and stability. His recent publications highlight innovations in: Unsupervised cross-subject adaptation for locomotion intent prediction Nonlinear series elastic actuators for hip exoskeletons 3D gaze fusion for terrain perception Variable stiffness suspension systems Stroke patient gait trajectory personalization He has received multiple scientific awards , including: Shenzhen Science and Technology Progress First Prize (2022) Chinese Association of Automation Science and Technology Second Prize (2022) IEEE Conference Best Paper Finalists (2019-2021) Shenzhen Peacock Plan (2018) Prof. Fu leads the Human-Augmented Robotics Lab (HARL) at SUSTech, directing over 30 research projects and holding >30 patents. His teaching contributions include multiple Excellent Mentor Awards at Tsinghua and SUSTech.

• Biomedical Engineering
• Materials Science
• Design and synthesis of organic functional materials
• +۳ مورد دیگر

Dr. FANG Xiaofeng is a Research Professor in the Department of Biomedical Engineering at Southern University of Science and Technology (SUSTech). He leads a research group focused on developing advanced materials and imaging techniques for biomedical applications. His career includes postdoctoral training at SUSTech (2017-2019) following doctoral studies at Jilin University. Education: Ph.D. in Physical Electronics, Jilin University (2014-2017) M.S. in Organic Chemistry, Jilin University (2012-2014) B.S. in Chemistry, Jilin University (2008-2012) Research Focus: Dr. Fang's work spans three interconnected domains: 1) Design and synthesis of organic functional materials with tailored optical properties; 2) Super-resolution imaging techniques for biological systems; and 3) Integrated biosensing and phototherapy platforms. His research bridges materials chemistry, optical engineering, and translational medicine. Publication Trends: His recent articles (2021-2025) demonstrate a strong emphasis on polymer-based nanoplatforms for advanced bioimaging and therapy. Key innovations include NIR-II probes for deep-tissue imaging, photoswitchable materials for super-resolution microscopy, and targeted nanoconjugates for cancer theranostics. The work consistently integrates materials innovation with biomedical problem-solving. He currently leads a research group developing molecular probes and bio-optical imaging technologies. The laboratory focuses on four key areas: molecular probe design, bioanalysis and biosensors, optoelectronic functional materials, and biomedical applications. The team actively recruits postdoctoral researchers for cross-disciplinary projects.