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• Ultrafast manipulation of electronic properties
• Ultrafast manipulation of magnetic properties
• Ultrafast manipulation of phononic properties
• +4 more

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.

• Groundwater Pollution
• Environmental Science
• Hydrology
• +3 more

Zhilin Guo is an Associate Professor at the School of Environmental Science and Engineering of the Southern University of Science and Technology (SUSTech), Shenzhen. She earned her Ph.D. in Environmental Science (minor in Hydrology) from the University of Arizona and completed postdoctoral work at UC Davis. Research Leadership : Vice Chair of UNESCO Groundwater Youth Network, member of AGU and IAHR committees, and associate editor for top journals like Water Resources Research . Research Focus : Groundwater pollution mechanisms, non-Fickian transport modeling, contamination risk assessment, and sustainability under global change. Her work spans numerical simulation, upscaling methods, and reactive transport analysis. Scientific Awards : 2024 Ministry of Education Young Talents, 2024 Guangdong Environmental Science Society Gold Award, and multiple journal-specific honors. Her funded projects include national Key R&D programs and NSFC grants, totaling over 10 million RMB. Academic Contributions : Published 15+ papers in 2024 alone, covering groundwater modeling, pollution risk, and climate-water interactions. Her teaching includes bilingual courses on water resources and contaminant transport.

• Quantum Transport
• Quantum Materials
• Interface Physics
• +5 more

HE Hongtao is an Associate Professor in the Department of Physics at Southern University of Science and Technology (SUSTech), where he has been employed since August 2011. His research focuses on quantum transport phenomena and quantum materials physics, with particular emphasis on topological insulators, spintronics, and interface physics. Ph.D., Department of Physics, Hong Kong University of Science and Technology, 2006 B.S., Department of Physics, China University of Science and Technology, 2001 Professor He's research spans multiple cutting-edge areas in condensed matter physics. His primary focus is on quantum transport in topological materials, where he investigates the influence of spin-orbit coupling on electronic and spin transport properties under extreme conditions of low temperature and high magnetic fields. He also conducts significant work on interface physics, particularly studying epitaxial transition metal oxide films and heterojunctions. His research has important implications for developing next-generation spintronic and quantum computing devices. Analysis of Professor He's publication record reveals a strong focus on topological materials, particularly topological insulators like Bi2Te3 and Bi2Se3, where he has made significant contributions to understanding magnetotransport phenomena. His work spans fundamental quantum transport phenomena including weak antilocalization, linear magnetoresistance, and topological Hall effects. More recently, his research has expanded to Dirac semimetals, topological Kondo insulators, and 2D material heterostructures, demonstrating a consistent trajectory toward increasingly complex quantum materials systems. Selected candidate of Peacock-plan Award, Shenzhen Highly Cited Paper by Web of Science (Phys. Rev. Lett. 106, 166805) Highly Cited Paper by Web of Science (Nature Communications 7, 10301) Professor He has secured significant research funding, including as Project Leader for a National Natural Science Foundation Youth Project (2013-2015), a General Project (2016-2019), a Guangdong Natural Science Foundation project (2015-2018), and a Shenzhen Knowledge Innovation Program project (2014-2016). He actively recruits research fellows and postdoctoral positions, indicating an active research group. His 49 SCI-indexed papers have accumulated over 1,300 citations with an h-index of 16, demonstrating substantial impact in his field. While specific laboratory details aren't provided in the text, Professor He's research on epitaxial film growth and quantum transport measurements suggests he operates specialized low-temperature and high-magnetic field experimental facilities. His collaborations with researchers across multiple institutions, including Hong Kong University of Science and Technology, Chinese University of Hong Kong, and various mainland Chinese universities, indicate an extensive research network in condensed matter physics.

• Eco-hydrological modeling
• Water environmental simulation
• Numerical simulation of hydrological processes
• +4 more

Dr. Han Feng is a Research Associate Professor at the School of Environmental Science and Engineering, Southern University of Science and Technology, collaborating with Professor Yi Zheng. He has been with the institution since 2015, progressing from Post-doctoral Research Fellow (2015-2018) to Research Assistant Professor (2018-2021), and currently holds his present position since 2021. His educational background includes a Ph.D. in Mechanics (Energy and Resources Engineering) from Peking University (2008-2015) and a Bachelor's degree in Theoretical and Applied Mechanics from the same institution (2004-2008). Dr. Han specializes in eco-hydrological and water environmental simulation, with research focusing on numerical simulation of hydrological processes, ecological processes, and water quality processes at watershed scale . His work encompasses development of new computational models, exploration of efficient model-data fusion methods, and investigation into coupling paradigms of deep learning and process-based models. His expertise spans eco-hydrological modeling, non-point source pollution simulation, data assimilation, uncertainty analysis, and machine learning applications in environmental systems. His publication record demonstrates significant contributions to the field, with over 40 papers including 38 SCI-indexed articles in top journals such as Water Research, Water Resources Research, and Journal of Hydrology. His recent work shows a clear trend toward integrating artificial intelligence with traditional hydrological modeling, particularly in applying physics-encoded deep learning to distributed hydrological modeling and using Bayesian approaches for assimilating sensor data in water quality modeling. National Natural Science Foundation of China青年科学基金 project (41807164) as PI (2019-2021) NSFC-CONICYT International Cooperation project (5191101522) as main participant (2020-2024) Chinese Academy of Sciences Strategic Priority Research Program (XDA20100104) as main participant (2018-2023) Shenzhen Municipal Engineering Lab of Environmental IoT Technologies as key member (2018-2020) China Postdoctoral Science Foundation project (2017M612505) as PI (2017-2018) As one of the main developers of the three-dimensional distributed eco-hydrological model HEIFLOW (Hydrological-Ecological Integrated watershed-scale FLOW), Dr. Han's research has been applied across diverse geographical contexts including the Heihe River Basin, Pearl River Basin, Luanhe River Basin, Miho Basin (South Korea), Skjern Basin (Denmark), and San Joaquin Basin (United States).

• Natural Product Chemistry
• Plant Metabolism
• Synthetic Biology
• +4 more

Ancheng Huang is an Associate Professor (since August 2019) in the Department of Biology at Southern University of Science and Technology (SUSTech), China. He received his Ph.D. in natural product chemistry from The University of Adelaide (2014), followed by postdoctoral work at the State Key Laboratory of Quality Research in Chinese Medicine (Macau University of Science and Technology, 2015) and the John Innes Centre (UK, 2015-2019), where he held a Marie Skłodowska-Curie Individual Fellowship (2016-2018). His research bridges plant chemistry and biology, focusing on natural product biosynthesis. Education: Ph.D. (University of Adelaide, 2014), Graduate (South China University of Technology, 2009-2010), B.E. (South China Agricultural University, 2005-2009) Research Interests include: Plant specialized metabolism Natural product biosynthesis (pathway discovery, enzyme mechanisms) Synthetic biology and metabolic engineering Metabolomics and chemical genetics Protein engineering for catalysis Selected Scientific Awards : Marie Skłodowska-Curie Individual Fellowship (2016) Dean’s Commendation for Doctoral Thesis Excellence (2014) HongManTang Outstanding Undergraduate Research Award (2009) Laboratory is based at Room 337, Research Building 1, SUSTech, Shenzhen, China. His team develops synthetic biology platforms for plant natural product production and investigates enzyme mechanisms in specialized metabolism.

• Healthcare management and operations
• Operations management
• Digital platforms
• +4 more

Hao Shuai serves as Assistant Professor at the School of Business, Southern University of Science and Technology (SUSTech), where he has been teaching since 2023. His research bridges operations management with practical applications in healthcare, technology, and business systems. His educational background includes: PhD in Operations Management, University of Illinois at Urbana-Champaign (2017-2023) Bachelor of Applied Physics, University of Science and Technology of China (2013-2017) Dr. Hao's research program focuses on empirical investigations in healthcare operations management, examining how digital platforms transform service delivery systems. His work extends to financial technology applications and human-computer interaction within business contexts, employing advanced methodologies including causal inference and machine learning. This interdisciplinary approach combines his physics background with business analytics expertise. As a new faculty member at SUSTech, Dr. Hao contributes to the university's mission of innovation in Shenzhen's dynamic economic environment. His research addresses contemporary challenges in service operations where technology intersects with human behavior and organizational efficiency.

• Computational Intelligence
• Evolutionary Multi-objective Optimization
• Evolutionary Machine Learning
• +5 more

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.

• Statistics in Financial Econometrics
• Quantile Regression
• Variable Selection
• +4 more

Jiang Xuejun is an Associate Professor in the Department of Statistics and Data Science at Southern University of Science and Technology (SUSTech). He has been with SUSTech since 2013, initially as a Tenure-Track Assistant Professor and promoted to Associate Professor in 2019. Prior to joining SUSTech, he served at Zhongnan University of Economics and Law. His educational background includes: Ph.D. in Statistics from The Chinese University of Hong Kong (2009) M.Sc. from Yunnan University B.Sc. from National University of Defense Technology Jiang Xuejun's research focuses on advanced statistical methodologies with applications in various domains. His work spans statistical theory development and practical applications in finance, economics, and risk assessment. He has made significant contributions to quantile regression, variable selection, survival analysis, and nonparametric regression methods. His research publications demonstrate a strong trend toward developing innovative statistical methods for high-dimensional data analysis, Bayesian modeling approaches, and applications in financial econometrics and disaster risk assessment. Many of his recent papers focus on quantile regression techniques, dimension reduction methods, and robust statistical testing procedures. Jiang Xuejun has received several prestigious awards: Shenzhen Outstanding Teacher (2018) Southern University of Science and Technology "Outstanding Teaching Award" (2018) "Excellent Mentor Award" from Southern University of Science and Technology (2016) Selected for Shenzhen's "Peacock Plan" for overseas high-level talents He has successfully secured multiple research grants as Principal Investigator, including projects funded by the National Natural Science Foundation of China (both General and Youth programs), Guangdong Provincial Natural Science Foundation, and Shenzhen Science and Technology Innovation Commission. His research portfolio includes work on likelihood inference for high-dimensional models, statistical methods for epidemic disease control, and quantitative trading systems using machine learning. Jiang maintains an active research group focusing on statistical methodology development and applications, with particular emphasis on financial statistics and econometrics. His team collaborates with researchers across multiple disciplines to address complex data analysis challenges in economics, finance, and public health.

• Chemical Biology
• Organic Chemistry
• Medicinal Chemistry
• +7 more

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
• +6 more

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
• +4 more

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
• +3 more

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
• +3 more

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.

• Neuroscience
• Machine Learning
• Control Theory
• +4 more

Dr. LIU Quanying is an Associate Professor in the Department of Biomedical Engineering at the Southern University of Science and Technology (SUSTech), where she has been a faculty member since September 2019. She serves as the Principal Investigator of the Neural Computing and Control Laboratory (NCC lab) and is a doctoral supervisor. Prior to joining SUSTech, she earned her PhD in Biomedical Engineering from ETH Zurich and conducted postdoctoral research at Caltech. Education: PhD in Biomedical Engineering, ETH Zurich (2013-2017) Master in Computer Science, Lanzhou University (2010-2013) Bachelor in Electrical Engineering, Lanzhou University (2006-2010) Research Interests: Dr. Liu’s research integrates neuroscience, machine learning, and control theory. Her work focuses on multi-modal neural signal processing (EEG, sEEG, fMRI, DTI), explainable AI for neuroscience, and optimization techniques for neuromodulation (tES, TMS). She has developed high-density EEG source localization algorithms and data-driven brain network modeling frameworks, aiming to enhance precision in neural stimulation and control. Scientific Awards: The New Brain 30 (2023) AAIC Travel Award (2019) Estes Stars Award (2018) 深圳市孔雀人才计划C类 Laboratory and Team: As the PI of the NCC lab, Dr. Liu leads a team focused on machine learning algorithms, neurocomputational modeling, and neurofeedback control. The lab actively recruits graduate students, postdocs, and visiting researchers, emphasizing interdisciplinary collaboration in neuroscience and AI.

• Superconducting Qubits
• Circuit QED Systems
• Quantum Computing
• +4 more

Jian Li is an Associate Researcher at the Institute of Quantum Engineering, Southern University of Science and Technology (SUSTech). He received his education from Central South University (B.Sc.), Chalmers University of Technology (M.Sc.), and Aalto University (D.Sc.). Prior to joining SUSTech in April 2019, he conducted research at Aalto University's Low Temperature Laboratory and the University of Glasgow's School of Engineering. His educational background includes: 2006.08-2012.09: D.Sc. in Engineering Physics, Aalto University, Finland 2004.09-2006.06: M.Sc. in Nanoscale Science and Technology, Chalmers University of Technology, Sweden 2000.09-2004.07: B.Sc. in Applied Physics, Central South University, China Jian Li's research focuses on cutting-edge quantum technologies, particularly in the areas of superconducting qubits, circuit QED systems, quantum computing, and quantum simulation. His work explores the fundamental properties and potential applications of superconducting quantum devices, with a special emphasis on developing practical quantum computing systems. He has made significant contributions to understanding quantum phenomena in superconducting circuits and their interactions with mechanical oscillators. His scientific work demonstrates a strong trend toward advancing quantum information processing using superconducting circuits. His publications span multiple high-impact journals including Nature, Nature Communications, and Physical Review Letters, reflecting his contributions to both theoretical and experimental aspects of quantum engineering. His research bridges fundamental quantum physics with practical quantum computing applications. His notable scientific contributions include: First international experimental verification of quantum simulation of motional averaging phenomenon Realization of microwave-band optomechanical hybrid systems with superconducting transmon circuit QED Observation of Autler-Townes Effect in superconducting multi-level artificial atoms Jian Li has published 19 academic journal papers in prestigious venues including Nature, Nature Communications, Physical Review Letters, and Advanced Materials. His research is supported by Shenzhen's strategic focus on quantum science as one of ten key development areas, with the Shenzhen Institute of Quantum Science and Engineering being one of the first three "Ten Basic Research Institutions" established in January 2018. He is based at Room 508, Building 1, Huiyuan, Southern University of Science and Technology, No. 1088 Xueyuan Avenue, Nanshan District, Shenzhen.