جستجوی استاد راهنمای دانشگاهی

• Computer Vision
• Robotics
• 3D Imaging
• +۴ مورد دیگر

Liu Wei is a Research Professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech). He holds a PhD in Computer Application Technology from the University of Chinese Academy of Sciences (2013) and has extensive experience in 3D imaging perception, computer vision, and embedded systems. Education: PhD (Computer Science, Chinese Academy of Sciences), MSc (Instrument Science, USTC), BSc (Measurement & Control, USTC) Current roles: Research Professor, postdoctoral advisor, and assistant dean at SUSTech Institute of Robotics Key research areas: 3D machine vision, industrial robots, surgical robotics, and intelligent autonomous systems His work spans both academic and industrial applications, including robotics for supermarket environments and medical surveillance devices. He has led multiple significant projects including 3D visual inspection robots and UAV joint labs. Scientific achievements include the IEEE ROBIO Best Conference Paper Award and multiple invention patents. His research combines computer vision with embedded systems for both industrial and biomedical applications. Contact details: 5th Floor, North Building, College of Engineering, SUSTech | Office: 0755-88011264 | Email: liuw2@sustech.edu.cn

• Underwater Robotics
• Biomimetic Robotics
• Multi-robot Systems
• +۴ مورد دیگر

Chunying Li serves as an Assistant Professor in the Department of Electronic and Electrical Engineering at the College of Engineering, Southern University of Science and Technology (SUSTech). Recognized as a 2024 Shenzhen Pengcheng Peacock Program Distinguished Talent and Ocean Power Young Scientist nominee, her research pioneers spherical underwater robotics and multi-agent systems for complex marine environments. Her educational foundation includes: Ph.D. in Intelligent Mechanical Systems Engineering from Kagawa University, Japan (2021-2023) M.S. in Control Engineering from Tianjin University of Technology, China (2017-2020) Dr. Li's research integrates biomimetic principles with advanced engineering to solve underwater navigation challenges. Her work on multi-sensor fusion enables robust environmental perception, while adaptive control algorithms allow spherical robots to operate in turbulent conditions. Key applications include ocean monitoring, resource exploration, and collaborative multi-robot missions where traditional systems fail. Recent publications (2020-2024) reveal a strong focus on performance optimization and biomimetic sensing , with 7 of 11 representative papers appearing in Q1 journals like Information Fusion (IF=17.564). A notable trend is the development of artificial lateral line systems inspired by fish, significantly improving obstacle recognition in murky waters. Her accolades include: 2024 Young Scientists Nomination for Ocean Power 2024 Shenzhen Pengcheng Peacock Program Distinguished Talent 2023 Chinese Society of Automation Natural Science Award (Second Prize) 2022 CSC National High-Level University Scholarship Dr. Li leads the Shenzhen Outstanding Science and Technology Innovation Talent Program while contributing to international projects: Shenzhen Grants: Pengcheng Peacock Program (Principal Investigator) International Collaboration: Japan SPS KAKENHI Program (Key Researcher) Regional Projects: Tianjin Science and Technology Innovation Cooperation Program Her laboratory develops spherical underwater robot platforms featuring hybrid thrusters and multi-sensor arrays, emphasizing father-son robot coordination and jellyfish-inspired swarm behaviors. Through IEEE ICMA conference leadership roles (Finance Chair 2025, Publication Co-Chair 2024), she actively shapes robotics research standards in Asia-Pacific.

• Geotechnical Engineering
• Marine Geotechnics
• Constitutive Modeling
• +۳ مورد دیگر

Dr. FENG Weiqiang is an Assistant Professor and PhD supervisor at the Department of Ocean Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China. He received his PhD in Geotechnical Engineering from The Hong Kong Polytechnic University in 2016, after completing a Master's at Zhejiang University and a Bachelor's at Central South University. His research bridges marine geotechnics with advanced computational and sensing technologies. PhD: Geotechnical Engineering, The Hong Kong Polytechnic University (2011–2016) MSc: Geotechnical Engineering, Zhejiang University (2008–2011) BEng: Mining & Geotechnical Engineering, Central South University (2004–2008) Dr. Feng specializes in marine soil consolidation , elasto-viscoplastic constitutive modeling , and fiber optic geotechnical sensors . He pioneered a modified Cam-Clay model incorporating nonlinear loading-unloading and temperature effects , with applications in major projects like Hong Kong International Airport's Third Runway and the Tseung Kwan O reclamation. His fiber Bragg grating effective stress meter , licensed to NanZee Sensing Co., Ltd., represents the first global instrument for direct soil stress measurement. His publications (73 SCI papers, H-index 23) focus on submarine pipeline-soil interaction , robot safety systems , and offshore energy islands . Key trends include multi-physics coupling in geotechnical systems, machine learning integration for damage detection, and advanced sensing techniques for marine environments. 2024: Outstanding College Advisor Award, SUSTech 2023: Dual Outstanding Individual Awards (Student Recruitment & Party Affairs), SUSTech 2020: Shenzhen Municipal Government Category C Overseas High-Level Talent 2016: 'Ringo Yu' Best Doctoral Thesis, Hong Kong Institution of Civil Engineers 2007: National Scholarship, Ministry of Education, China Dr. Feng actively leads 5 research projects (including 1 National NSFC grant and 3 provincial/municipal grants), participates in over 10 national/Hong Kong SAR funded programs, and mentors prospective postdoctoral fellows, PhD, and master's students in geotechnical, mechanical, and environmental disciplines. His team develops intelligent geotechnical systems for offshore applications, including submarine robot safety frameworks and smart energy island infrastructure . Current collaborations span Canadian National Geotechnical Code implementation and Kunlong 500 tracked mining vehicle soil interaction studies.

• Rigid Graph Theory
• Multi-Agent Systems
• Unmanned Systems
• +۴ مورد دیگر

Liangming Chen is an Associate Professor at the School of Automation and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech), China. Previously, he held postdoctoral positions at Nanyang Technological University, Singapore. His academic roles include deputy editor-in-chief for IEEE Transactions on Robotics and IEEE Transactions on Systems, Man, and Cybernetics: Systems . As a Senior Member of the IEEE, he has been selected for the National High-Level Talent Program (Youth Project) and Shenzhen Overseas High-Level Talent Program (Peacock Plan Category C). Education : PhD in Systems and Control (University of Groningen, 2021), PhD in Control Science and Engineering (Harbin Institute of Technology, 2019), BEng in Automation (Southwest Jiaotong University, 2015). His research integrates Rigid Graph Theory , Multi-Agent Systems , and Robotics , with recent work focusing on Brain-Inspired Intelligence and Machine Learning . Key trends in his publications (2020-2025) include Formation Control , Distributed Localization , and Unmanned Systems , appearing in top journals like IEEE TAC , Automatica , and IEEE TRO . Scientific Awards include the Shenzhen Overseas High-Level Talent Program and competition prizes in Electronics Design and Mathematical Modeling . He has guided teams to national awards and mentored students to placements at top institutions. His group pursues High-Impact Research in Multi-Agent Estimation , Robot Swarms , and Autonomous Navigation , with applications in drones and embodied intelligence.

Fuchun SUNمشاهده پروفایل

استاد

• Intelligent Control
• Robotics
• Networked Control Systems
• +۷ مورد دیگر

Fuchun SUN is a Full-time Professor at Tsinghua University's Department of Computer Science and Technology, where he has been affiliated since 1998. He holds a Bachelor's (1986) and Master's (1989) in Automation from the Institute of Naval Aeronautical Engineering, and a Ph.D. in Computer Science & Technology from Tsinghua University (1997). Prof. SUN serves as Deputy Director of the State Key Laboratory of Intelligent Technology and Systems and holds editorial positions in IEEE Transactions on Neural Networks and Soft Computing. Research Focus: His work spans Intelligent Control, Robotics, Networked Control Systems, and Artificial Cognitive Systems. He pioneers neuro-fuzzy modeling, adaptive control of nonlinear systems, and Markov jump system filtering, with applications in spacecraft, mobile robots, and flexible manipulators. Research projects include National 863 High-Tech Programs and National Basic Research (973) Programs on hyperspace vehicle control and multi-satellite networking. Publications Trend: His 15 most recent articles (2002–2010) demonstrate consistent focus on neuro-fuzzy adaptive control, robotics, Markov jump systems, and H-infinity filtering. Over 80% involve experimental validation of theoretical frameworks for robotic manipulators and nonlinear systems. Awards: National Natural Science Funds for Distinguished Young Scholars (2006) New Century Talents Award, Ministry of Education (2004) National Science and Technology Progress Award, Second Class (2002) 18th Choon-Gang Academic Award, Korea (2003) Science and Technology Progress Award, Beijing (Second Class, 2004) National Distinguished Doctoral Dissertation (2000) Academic Leadership: Supervised 15 Ph.D. and 20 Master's students. Secured 10+ national grants including NSFC Distinguished Young Scholars funding. Developed experimental platforms: two flexible-link robot test-beds and a space teleoperation system for on-orbit servicing.

Itamar Willnerمشاهده پروفایل

استاد

• Supramolecular Chemistry
• Nanomaterials
• Biomaterials
• +۵ مورد دیگر

Itamar Willner is a distinguished Israeli chemist and Professor at the Hebrew University of Jerusalem who holds significant affiliations with the East China University of Science and Technology. He was appointed as an Honorary Professor in 2007, co-established the Ministry of Education's Joint Laboratory for International Cooperation in Structurally Controlled Molecular Engineering in 2017 as international director, and was appointed an "Internationally Renowned Master Visiting Professor" in 2022. He is a Foreign Academician of the Chinese Academy of Sciences (elected 2021), member of the Israel Academy of Sciences and Humanities (2002), European Academy of Sciences and Arts (2004), and German National Academy of Sciences (2009). Professor Willner's research spans supramolecular chemistry, nanomaterials, and biomaterials, with specific focus on DNA chemical biology and optoelectronic biosensing. His pioneering work includes the construction of bio/nanofunctional self-assembly systems such as DNA molecular machines and logic gates, development of bio-nanocatalytic methods, and the innovative concept of "nucleic acid aptamers" that enhances enzyme-mimicking catalysis. His recent development of "DNA dynamic networks" provides a powerful platform for studying non-equilibrium biomolecular assembly, while his work on artificial photosynthesis systems explores novel energy dissipation mechanisms. His extensive publication record includes over 850 SCI-indexed papers in journals like Nature and Science, with more than 89,000 citations and an H-index of 142. His research has led to significant applications in molecular-supramolecular electronics, intelligent responsive materials, controllable functional interfaces, and optoelectronic/bioelectronic assembly systems, driving innovations in photo/electrochemical probes, drug delivery systems, and molecular machines. His scientific achievements have been recognized with numerous prestigious awards: Israel Prize in Chemistry Rothschild Prize EMET Award (awarded by the Prime Minister of Israel) Israel Chemical Society Gold Medal Professor Willner has served on the editorial boards of nearly 20 major academic journals including JACS, ACIE, Nano Letters, ACS Nano, Small, and ChemPhysChem. His collaborative work with Chinese scholars through the Ministry of Education's Joint Laboratory has established a significant hub for basic research, talent development, and international collaboration in precision chemistry and molecular engineering, bringing together top scientists from China and abroad.

Xiao ZHANGمشاهده پروفایل

مربی

• Robotics
• Teleoperation
• Machine Learning
• +۳ مورد دیگر

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.

• 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.

• 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.

• Soft Materials Engineering
• Bioinspired Design and Fabrication
• Soft Materials Mechanics
• +۶ مورد دیگر

Liu Ji is an Associate Professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech) in Shenzhen, China, holding this position since January 2020 after serving as an Assistant Professor from September 2019 to December 2020. Dr. Liu received dual PhD degrees in 2013 - one in Physiochemistry of Condensed Materials from the University of Bordeaux, France, and another in Chemistry from the University of Liege, Belgium. His postdoctoral training included positions at the University of Cambridge (2014-2018) as a Marie-Curie Research Fellow and at MIT (2018-2019), with an additional visiting fellowship at Harvard Medical School. Dr. Liu's research program focuses on soft materials engineering, bioinspired design and fabrication, soft materials mechanics, 3D printing, biomaterials, and soft electronics. His work particularly emphasizes developing functional soft materials with extreme mechanical properties and their applications in biointerfaces, dynamic adhesion, and human-machine interfaces. His research group explores how to design, fabricate, and engineer soft materials that can mimic biological systems for biomedical applications and advanced manufacturing. Dr. Liu has published over 40 papers in high-impact journals including Science Advances, Nature Communications, PNAS, Accounts of Chemical Research, and Advanced Materials. His publications demonstrate consistent innovation in soft materials, particularly in fatigue-resistant hydrogels, supramolecular polymer networks, and biointerface engineering. Two of his papers have been selected as ESI Highly Cited Papers, indicating significant field impact. IAAM Scientist Medal (2022) Fellow of the Institute of Materials, Mining & Minerals (2021) MIT Technology Review Innovators Under 35 in China (2020) Guangdong Pearl River Talents Program (2020) Overseas High-Caliber Personnel in ShenZhen (2020) Japan Polymer Group Young Investigator Award (2017) Marie-Curie Research Fellow (2015) Dr. Liu leads a vibrant research group at SUSTech, mentoring students and establishing international collaborations. His work has received widespread attention, featured in Materials Views China, MIT News, Phys.org, and Materials Today, with his research highlighted on MIT's homepage. His Soft Matter Design and Manufacturing Platform develops novel intelligent soft material technologies through interdisciplinary approaches combining mechanics, materials, physics, and engineering.

• Robotics
• Robot Audition
• Optimal Filtering and Estimation
• +۴ مورد دیگر

He Kong is an Associate Professor at Southern University of Science and Technology (SUSTech), affiliated with the School of Automation and Intelligent Manufacturing, where he also serves as Deputy Director of the SUSTech Institute of Robotics. Previously, he was an Assistant Professor in the Department of Mechanical and Energy Engineering at SUSTech from January to May 2022. Prior to joining SUSTech, he was a Research Fellow at the Australian Centre for Field Robotics, University of Sydney (2016-2021), and at Cranfield University's Advanced Vehicle Engineering Centre (2015-2016). He received his Ph.D. in Electrical Engineering from the University of Newcastle, Australia (2014), M.E. in Control Science and Engineering from Harbin Institute of Technology (2010), and B.E. in Electrical Engineering and Automation from China University of Mining and Technology (2004). His research focuses on robotic intelligent perception and decision making, robot audition, optimal filtering and estimation, and advanced control methods. Specifically, he works on active multi-mode perception, parameter calibration of robot audition systems, optimal filtering under unknown inputs, and fully actuated system approaches. His work has significant applications in precision agriculture, environmental monitoring, and robotic inspection of hazardous industries such as chemical and mining operations. His recent publications reveal a strong emphasis on multi-modal perception systems, particularly combining visual and auditory sensing for robotic applications. His research shows a progression from theoretical control methods toward practical implementations in field robotics, with increasing focus on real-world applications in agriculture and hazardous environments. Finalist for Youth Author Prize, IFAC Workshop on Robot Control (2019) Fifth China Robotics Academic Annual Conference Best Poster Award (2024) 14th International Conference on Indoor Positioning and Indoor Navigation Best Paper Award (2024) The Equity Scholarship, Council of International Students Australia (2011) Outstanding Postgraduate Students Award, Harbin Institute of Technology (2010) Professor Kong actively supervises numerous PhD and Master's students and has established a productive research group focused on active intelligent systems. His laboratory is equipped with advanced facilities including over 30 motion capture systems, Unitree humanoid robots, robot dogs, wheeled mobile robots, and custom-developed platforms like Cubli and acoustic perception systems. He serves on editorial boards for several prestigious journals including IEEE Robotics and Automation Letters and IEEE Sensors Letters, and has been an Associate Editor for major robotics conferences such as IEEE ICRA and IEEE/RSJ IROS.