جست‌وجوی استاد و پژوهشگر

• Plant Molecular Biology
• Genetics
• Ethylene Signaling
• +۴ مورد دیگر

Professor Guo Hongwei is a Chair Professor at the Department of Biology, Southern University of Science and Technology (SUSTech) , where he serves as Acting Dean and Director of the SUSTech-PKU Institute of Plant and Food Science. His career spans groundbreaking work in plant molecular biology and genetics , particularly in ethylene signaling mechanisms and their crosstalk with other hormones and environmental factors. Ph.D., University of California, Los Angeles (2001) M.S., Peking University (1995) B.S., Nankai University (1992) Guo’s research has established protein degradation and RNA decay models for ethylene action, revealing interactions with auxin, jasmonate, and gibberellin. His team’s work on gene silencing and plant senescence regulation has been published in Cell , Nature , and Science . Recent studies focus on multi-level gene silencing mechanisms and chemical genetics to identify postharvest compounds. His 15 most recent articles (2023–2025) highlight innovations in RNA decay pathways , hormone crosstalk , leaf senescence regulation , and stress adaptation , with tools like chemical screening and single-nucleus RNA-seq. 2025 Ministry of Education Natural Science First Prize 2023 Shenzhen Natural Science First Prize New Cornerstone Researcher Program (2023) Highly Cited Scholar (2020–2022) 2006 National Natural Science Fund for Distinguished Young Scholars Guo’s leadership includes founding the SUSTech-PKU Institute of Plant and Food Science and directing the Guangdong Provincial Key Laboratory of Molecular Design of Plant Cell Factories , driving interdisciplinary collaborations in plant biotechnology and agri-food innovation.

• RF/mm-Wave/THz Wireless Transceivers
• High-Speed SerDes
• PLLs/Frequency Synthesizers
• +۴ مورد دیگر

Xiaolong Liu serves as Assistant Professor at Southern University of Science and Technology's School of Microelectronics. His academic journey includes a Ph.D. from Hong Kong University of Science and Technology (2019), M.E. from Tsinghua University (2014), and B.E. from Beijing University of Aeronautics and Astronautics (2010). Prior to his current position, he worked as Staff Engineer at eTopus Technology in Silicon Valley (2019-2021) and completed a postdoc at HKUST. Ph.D. in Electronic and Computer Engineering, Hong Kong University of Science and Technology (2019) M.E. in Microelectronics, Tsinghua University (2014) B.E. in Electronic Engineering, Beijing University of Aeronautics and Astronautics (2010) Dr. Liu's research spans cutting-edge RF/mm-Wave/THz integrated circuit design, focusing on high-performance signal generators , ultra-wideband transceivers , and low-power frequency synthesis . His work addresses critical challenges in 5G/6G communications, terahertz spectroscopy, and high-speed wireline interfaces through innovative CMOS architectures. Technical emphases include varactor-less VCOs, harmonic enhancement techniques, and magnetic tuning mechanisms for millimeter-wave systems. His publication portfolio demonstrates consistent leadership in IEEE flagship journals/conferences (JSSC, TMTT, ISSCC, VLSI), with recent work advancing Class-F oscillators, sub-sampling PLLs, and sub-THz synthesizers. Notable trends include migration toward sub-THz frequencies (2023-2025) , multi-core oscillator architectures , and elimination of harmonic tuning for simplified design. IEEE VLSI Paper Technical Highlights (2019) IEEE CICC Invited Talk (2019) IEEE TVLSI 2023 Best Reviewer Award Top 4 Most Downloaded Paper in TCAS-II (July 2022) Dr. Liu actively mentors students through SUSTech's graduate programs, with advisees consistently earning university-level thesis awards and conference recognitions. His lab maintains strong industry ties through silicon validation and collaborates on cutting-edge tapeouts in 7nm/16nm nodes. Current projects focus on cryo-CMOS interfaces for quantum computing and ultra-wideband transceivers for 6G applications. His research group operates within SUSTech's state-of-the-art microelectronics facility, specializing in mm-Wave/THz characterization and high-speed SerDes validation. The team maintains partnerships with semiconductor foundries for advanced-node prototyping and collaborates with industry leaders on real-world implementation challenges.

• Quantum Computing
• Quantum Simulation
• Trapped Ion Systems

Dr. Yao Lu is an Associate Researcher and doctoral supervisor at the Institute for Quantum Science and Engineering, Southern University of Science and Technology (SUSTech). He specializes in quantum computing and simulation using trapped ion systems, with a focus on experimental realization and scaling of quantum platforms. His work has contributed to China's first small-scale programmable ion quantum computing system. PhD in Physics (2020), Tsinghua University Bachelor in Physics (2014), Peking University His research explores: Compact trapped ion quantum computing platforms Quantum error mitigation and fidelity optimization Many-body quantum simulations in noisy environments Modular quantum computation via ion-electron coupling His publications in Nature , Nature Physics , and Nature Communications demonstrate expertise in trapped ion quantum gate design, non-equilibrium thermodynamics, and phonon manipulation. Current projects include robust quantum control of multi-ion qubits (NSFC Young Scientists Fund) and fast ion qubit shuttling (Shenzhen Science and Technology Program). He leads the trapped ion quantum computing laboratory at Futian International Quantum Research Institute (Room 102) and actively recruits researchers for quantum science initiatives.

• Cryo-Electron Microscopy
• Structural Biology
• Neurodegenerative Diseases
• +۵ مورد دیگر

Yao-Wang Li is a Research Assistant Professor in the Department of Biology at the School of Life Sciences, Southern University of Science and Technology, specializing in cryo-electron microscopy (Cryo-EM) methodology development and structural biology. He holds a PhD from Leiden University and completed postdoctoral training at Tsinghua University and Leiden University, where he pioneered high-resolution structural determination of Parkinson's-related amyloid fibers in China. His educational background includes: PhD in Structural Biology, Leiden University (2011-2017) Master of Science, China Agricultural University (2008-2011) Bachelor of Science, Jiangxi Agricultural University (2004-2008) Dr. Li's research centers on advanced Cryo-EM techniques , with primary focus on electron diffraction, single particle analysis, and cryo-electron tomography (Cryo-ET) for resolving biological macromolecular structures. His work bridges structural biology and neurodegenerative disease mechanisms, particularly in visualizing α-synuclein fibrils implicated in Parkinson's disease. He emphasizes the principle that "seeing is believing" to investigate life mechanisms at near-atomic resolution. Analysis of his publications (2011-2020) reveals three dominant research trajectories: (1) structural determination of neurodegenerative disease-related amyloid fibrils using Cryo-EM, (2) methodological innovations in electron diffraction for protein nanocrystals, and (3) computational image processing advancements for 3D reconstruction. His work consistently targets high-impact structural biology questions with implications for disease mechanism understanding. His scientific recognition includes: National Natural Science Funds of China (2018) China Postdoctoral Science Foundation Grant (2017) Advanced Innovation Fellow at Tsinghua University (2017) Multiple academic scholarships and thesis awards Dr. Li has secured competitive research funding including national grants and institutional fellowships. His position involves mentoring graduate students in structural biology techniques, though specific advisees aren't listed. He was the first researcher in China to solve amyloid fiber structures in Parkinson's disease at near-atomic resolution, establishing critical cryo-EM capabilities for neurodegenerative disease research. His laboratory at Southern University of Science and Technology focuses on developing integrated Cryo-EM approaches—including electron diffraction, single particle analysis, and cryo-ET—to resolve biological structures from subcellular to molecular levels, with particular emphasis on neurodegenerative disease mechanisms and therapeutic target identification.

Xiaoyi Wangمشاهده پروفایل

استاد پژوهشی

• Theoretical Electromagnetics
• Computational Electromagnetics
• Applied Electromagnetics
• +۲ مورد دیگر

Xiaoyi Wang is a Research Professor at the Department of Electronic Science & Technology, Tongji University, Shanghai. B.S. in Electronic Science and Technology from University of Electronic Science and Technology of China (UESTC), Chengdu (2011) M.S. in Communication and Information System from Fudan University, Shanghai (2014) Ph.D. in Electrical Engineering from Polytechnique Montréal, Canada (2020) His research focuses on theoretical, computational, and applied electromagnetics , with a particular emphasis on metamaterials and metasurfaces , aiming to advance electromagnetic wave manipulation and device design. Scientific Awards: Student Paper Competition Award of AP-S (2019) URSI Young Scientist Award (2020)

• Active Noise Control
• Environmental Noise Control
• Acoustical Signal Processing
• +۳ مورد دیگر

Dr. Hu Qi is a Lecturer in the School of Automation and Intelligent Manufacturing at Southern University of Science and Technology (SUSTech), with expertise in acoustics and biomedical applications. He holds a Ph.D. in Building Environment and Energy Engineering from The Hong Kong Polytechnic University and has accumulated interdisciplinary experience in Industrial Design, Mechanical Engineering, and Acoustical Signal Processing. Education: Ph.D. (2019), M.Sc. (2012), BEng (2010). Research Interests: Active Noise Control, Acoustic Tweezers, Environmental Noise Control, Acoustic Radiation Forces, and Sound Quality Analysis. Recent Publications: Span acoustics and materials science, including 3D Acoustic Tweezers and multiscale fracture modeling. Work Experience: Post-doc research at Shenzhen Institute of Advanced Technology (2020–2022); research assistant roles at Hong Kong Polytechnic University.

• 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.

Derong Liuمشاهده پروفایل

استاد

• Adaptive Dynamic Programming
• Reinforcement Learning
• Intelligent Control
• +۵ مورد دیگر

Derong Liu is a Chair Professor at Southern University of Science and Technology (SUSTech) in Shenzhen, China, holding dual appointments as Full Professor of Electrical and Computer Engineering and Computer Science at the University of Illinois at Chicago. He is a distinguished scholar with multiple prestigious recognitions including Member of Academia Europaea, Fellow of IEEE, Fellow of International Neural Network Society, and Fellow of International Association for Pattern Recognition. His academic journey spans multiple institutions across China and the United States, with significant contributions to control theory and artificial intelligence. Ph.D. in Electrical Engineering from University of Notre Dame (1994) M.Sc. in Automatic Control Theory from Chinese Academy of Sciences (1987) B.Sc. in Mechanical Engineering from East China Institute of Technology (1982) Liu's research focuses on Adaptive Dynamic Programming and Reinforcement Learning, Intelligent Control and Information Processing, Modeling and Control of Complex Industrial Processes, Neural Networks and Computational Intelligence, and Smart Grid technologies. His work bridges theoretical foundations with practical applications in industrial control systems, particularly in automotive engine control and energy management. He has pioneered significant methodologies in neural network design and adaptive control systems that have become foundational in the field. His publication record demonstrates a consistent trajectory of high-impact research, with recent articles focusing on event-triggered control systems, neural architecture search, fault tolerant control, and multi-agent game theory applications. The research spans both theoretical advances in control algorithms and practical implementations in complex industrial systems, showing a clear evolution from foundational neural network research to sophisticated adaptive control frameworks. Member, Academia Europaea (2021) IEEE Computational Intelligence Society Neural Network Pioneer Award (2022) Dennis Gabor Award from International Neural Network Society (2018) Highly Cited Researcher by Clarivate (2017-present) Editor-in-Chief of Artificial Intelligence Review (2014-present) Liu has mentored numerous students and researchers throughout his career, serving as Editor-in-Chief for major journals and leading significant research initiatives. His work has been supported by multiple grants from the National Science Foundation of the United States and the National Natural Science Foundation of China. His research group continues to push boundaries in adaptive control systems and neural network applications. Currently, Liu leads a research group at SUSTech focusing on intelligent control systems, with active projects in adaptive dynamic programming, reinforcement learning applications, and smart grid technologies. His laboratory serves as a hub for interdisciplinary research connecting theoretical control frameworks with practical industrial implementations.

• Multiobjective Optimization
• Supply Chain Management
• Artificial Intelligence Assisted Optimal Design
• +۱۳ مورد دیگر

Dr. Wang Zhenkun is an Assistant Professor at the School of System Design and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech), with a joint appointment in the Department of Computer Science and Engineering. He earned his PhD in Circuits and Systems from Xidian University in 2016 and held postdoctoral and research fellow positions at Nanyang Technological University (NTU), City University of Hong Kong, and its Shenzhen Research Institute. Research Interests: Multiobjective optimization, artificial intelligence-assisted design automation, supply chain management, deep learning, and UAV traffic scheduling. Grants & Recognition: Principal Investigator (PI) for a National Natural Science Foundation of China (NSFC) youth project and multiple grants; selected as a high-level C-category overseas talent in Shenzhen. Leadership Roles: Associate Editor of Swarm and Evolutionary Computation (JCR Q1); Chair of IEEE CIS Shenzhen Chapter Student Activities; Organizer of EMO 2021 Competition. Teaching: Courses include Fundamentals of Systems Engineering , Machine Learning System Design , and Intelligent Optimization Algorithms . Group Leadership: Founder of the Computational Intelligence and Advanced Manufacturing (CIAM) group, focusing on developing AI-driven optimization algorithms for logistics, manufacturing, and aerospace applications.

Minyong Liمشاهده پروفایل

استاد

• Medicinal Chemistry
• Chemical Biology
• Computational Chemistry
• +۳ مورد دیگر

Minyong Li is a Professor of Medicinal Chemistry at the School of Pharmacy, Shandong University. He earned his B.S. and Ph.D. from China Pharmaceutical University and conducted postdoctoral research at Georgia State University. His work spans medicinal chemistry, chemical biology, and computational methods. Rational design of therapeutic agents targeting enzymes, GPCRs, and ion channels Development of optical sensors for biomolecules Computational modeling using QSAR, pharmacophore, and molecular dynamics His publications focus on fluorescent probes, QSAR studies, and computational modeling of drug targets. Awards include SCOPUS Young Scientist, New Century Excellent Talent, and multiple NSFC-funded projects. He serves as Associate Editor for Medicinal Research Reviews and on editorial boards of four journals.

Cheng Lemingمشاهده پروفایل

استاد

• Thermal Science Engineering
• Circulating Fluidized Bed (CFB) Theory and Technology
• Low Emission Gas Burner Theory and Technology
• +۴ مورد دیگر

Professor Cheng Leming is affiliated with the College of Energy Engineering at Zhejiang University, China . With a career spanning over three decades, he has held positions including Professor (2001–present) and Associate Professor (1999–2001). His research focuses on Thermal Science Engineering , particularly Circulating Fluidized Bed (CFB) Theory and Technology and Low Emission Gas Burner Theory . Education: Ph.D., 1996, Energy Engineering, Zhejiang University M.S., 1992, Energy Engineering, Zhejiang University B.S., 1987, Thermal Science and Engineering, Zhejiang University His work emphasizes combustion mechanisms , heat transfer modeling , desulfurization technology , and low-calorific gas utilization in CFB systems. Key projects include national R&D programs on CO2 control , supercritical CFB boilers , and Xinjiang Zhundong coal combustion . He has supervised Ph.D., M.S., and B.S. theses and collaborated on international projects in Canada, Japan, and Korea. Publications highlight CFB boiler thermal calculations , porous media combustion , and sorbent sulfur capture . He has contributed to standards committees and edited technical manuals, including Practical Scientific English Reading and Writing for Thermal Engineering and Circulating Fluidized Bed Boilers – Design and Operations .

Huang Ruiمشاهده پروفایل

پژوهشگر

• Vehicle Thermal Management
• New Energy Vehicles
• Dynamic Mechanical Structure Design
• +۲ مورد دیگر

Huang Rui is a Researcher and Master Tutor at Zhejiang University's College of Energy Engineering, where he serves as Laboratory Director of the Power Machinery & Vehicular Engineering Institute. He holds leadership roles in academic committees, including Deputy Secretary-General of the Society of Automotive Engineers of Zhejiang and the Zhejiang Technical Committee of New Energy Automobile Standardization. His research spans vehicle thermal management (including new energy vehicles), dynamic mechanical structure design simulation , and experimental technology. Key projects include thermal optimization for electric vehicles, engine reliability testing, and thermal management system innovations, funded by provincial and industrial partners. Recent publications focus on thermal systems, energy recovery, and mechanical reliability, with consistent themes in experimental validation and optimization for automotive and energy applications. His work advances heat transfer efficiency, battery safety, and sustainable energy integration. Awards & Honors: Second Prize, Provincial and Ministerial Scientific Progress Award First-class Prize, Provincial Teaching Achievement Award Multiple school-level teaching excellence recognitions As advisor to Zhejiang University's Qizhen Formula Racing Team, he led achievements in FSAE competitions (1st in lightweighting, 2nd in marketing). He teaches undergraduate/postgraduate courses including Automobile and Engine Professional Experiment and contributes to curriculum development through experimental teaching grants.