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Prof. CHEN Shuming is a Tenured Professor and Doctoral Supervisor at the Department of Electronic and Electrical Engineering , Southern University of Science and Technology (SUSTech) . He has held academic positions since joining SUSTech in 2013 and was promoted to Professor in 2024. Education: PhD in Electronic and Computer Engineering (HKUST, 2012), Master in Optical Engineering (Sun Yat-sen University, 2008), Bachelor in Optoelectronics (South China University of Technology, 2005) Research Focus: Prof. Chen specializes in quantum dot light-emitting diodes (QLEDs) and organic light-emitting diodes (OLEDs) , with expertise in device engineering , device physics , and display/lighting applications . His work includes: Novel device structures (tandem, top-emitting, flexible) Charge transport and exciton dynamics Low-cost fabrication techniques (inkjet printing, laminating) Publication Trends: His recent papers address QLED stability , high-efficiency architectures , and AC-compatible devices , reflecting advancements in quantum dot technology and consumer electronics integration . Scientific Awards: Guangdong Natural Science Award (2024) Shenzhen Youth Science and Technology Award (2017) China Invention Association Innovation Award (2024) International Society for Information Display Outstanding Paper Award (2018) Advising and Grants: Prof. Chen has supervised 6 doctoral students, 5 master's students, and multiple undergraduates. He has led over 10 major projects, including National Natural Science Foundation grants and National Key R&D Program initiatives.

• Quantum Dot Light-Emitting Diodes (QLEDs)
• Organic Light-Emitting Diodes (OLEDs)
• Device Physics
• +۳ مورد دیگر

Xiuhao Deng is an Associate Research Fellow and PhD Supervisor at the Institute of Quantum Science and Engineering, Southern University of Science and Technology (SUSTech), with adjunct positions at Pengcheng Lab and Hefei Lab. He obtained his B.S. in Modern Physics from University of Science and Technology of China (USTC) in 2005, followed by an M.S. in Atomic and Molecular Physics from USTC (2009) and a Ph.D. in Physics from University of California, Merced (2015). Research Interests: Driven quantum systems Quantum control theory and open quantum systems Superconducting and spin qubits Quantum error correction Quantum simulation Quantum computing His work focuses on robust quantum gate engineering, scalable quantum control, and error mitigation in multi-qubit systems. Recent publications emphasize geometric correspondence methods, noise resilience, and hardware optimization. Academic Activities: Organized QIP 2020 (international quantum conference) Reviewer for Phys. Rev. X , Phys. Rev. Lett. , and other journals Transferred to Shenzhen International Quantum Academy in 2025 after tenure at SUSTech

• Quantum Control Theory
• Quantum Dynamics
• Quantum Computing
• +۵ مورد دیگر

Shaowei Wang is a Professor in the Department of Engineering Mechanics at the School of Civil Engineering, Shandong University, China. He holds a Ph.D. in Mathematics (2007) from Shandong University and completed post-doctoral research in fluid mechanics (2009) at Peking University. His research focuses on heat and mass transfer in porous media , fluid mechanics , and mathematical methods in mechanics . His recent publications highlight advancements in electro-osmotic flows, oscillatory non-Newtonian fluid dynamics, and stability analysis of bioconvection in porous media. Key themes include modeling viscoelastic fluids (Oldroyd-B, Maxwell), fractional calculus applications, and microchannel transport phenomena. First Prize in Natural Science of the Ministry of Education (2015) Second Prize of Natural Science Award of Shandong Province (2015) Du Qinghua Young Scholar Award (2016) Wang serves as Director of Shandong Society of Mechanics and editorial board member of multiple journals. His work bridges theoretical fluid dynamics with practical applications in microfluidics and geophysical systems.

• Heat and mass transfer in porous media
• Fluid mechanics
• Mathematical methods in mechanics

Daohong Qiu is an Associate Professor and Master Tutor at the Geotechnical and Structural Engineering Center, School of Civil Engineering, Shandong University. His research focuses on advanced geological prediction in tunnels, surrounding rock stability, structural health monitoring for urban rail transit, and TBM tunneling performance optimization. Position: Associate Professor Affiliation: School of Civil Engineering, Shandong University Email: qiudh@sdu.edu.cn Research Interests: He specializes in geotechnical engineering challenges related to underground construction, including rock burst prediction , disaster control , and machine learning applications in geological modeling. His work emphasizes integrating advanced computational methods like quantum genetic algorithms and RBF neural networks with field data to improve tunnel safety and efficiency. Publication Trends: His recent 2019 studies address subsea tunnel risk assessment , rock burst prediction in underground caverns, and machine learning-driven surrounding rock classification . Earlier works (2014-2015) explore SVM/GA-SVM for geological disaster forecasting, while pre-2010 papers focus on optimization theory and stress field analysis. Patent Contributions: He holds multiple invention patents for geological prediction devices, including three-dimensional geological network modeling , seismic signal detection , and concrete elevation control systems .

• Geotechnical Engineering
• Underground Engineering
• Structural Health Monitoring
• +۲ مورد دیگر

Yuanzhen Chen is an Associate Professor in the Department of Physics at Southern University of Science and Technology (SUSTech), where he has been working since 2015. His research focuses on experimental investigation of superconducting quantum computation and quantum simulation, aiming to advance quantum information processing using superconducting circuits. Chen's work contributes to the development of quantum technologies that leverage quantum superposition and entanglement for computational advantages over classical systems. His educational background includes: Ph.D. in Physics from University of Maryland (1998-2005) M.S. from Chinese Academy of Sciences, Institute of Semiconductors (1995-1998) B.S. from University of Electronic Science and Technology of China (1991-1995) Chen's research interests center on superconducting quantum systems. His team focuses on two main areas: developing superconducting quantum chips using Josephson-junction-based devices to build qubits and measurement apparatus, and implementing quantum computation and simulation on these chips. They explore geometric quantum computation, quantum automata, quantum few-body systems, and simulation of condensed matter physics models. Their work aims to address fundamental challenges in quantum computing, including error correction and scalability. Analysis of Chen's recent publications reveals a consistent focus on advancing superconducting quantum circuit technology. His research has progressed from fundamental quantum gate implementations toward more complex quantum systems including multi-qubit architectures and topological quantum phenomena. A notable trend is the increasing sophistication of quantum control techniques, with recent work exploring hybrid digital-analog approaches and noise-resilient quantum gates. Chen collaborates extensively with theoretical researchers, particularly with Man-Hong Yung, to bridge theory and experiment in quantum computing. His laboratory at SUSTech has developed capabilities in fabricating and measuring superconducting quantum devices, with research outputs published in high-impact journals including Physical Review Letters and npj Quantum Information. The research team operates within SUSTech's Department of Physics, part of the Faculty of Science. They maintain experimental facilities for superconducting quantum device fabrication and characterization, with current work focusing on advancing toward practical quantum computing applications and exploring fundamental quantum phenomena using controllable superconducting systems.

• Superconducting quantum computation
• Quantum simulation
• Quantum information processing
• +۷ مورد دیگر

Dr. Li Lei is an Associate Professor and doctoral supervisor in the Department of Materials Science and Engineering at the Southern University of Science and Technology (SUSTech). He holds a BS from the University of Science and Technology of China and a PhD in Chemistry (2016) from the University of Nebraska-Lincoln. From 2016-2020, he conducted postdoctoral research with Prof. Graeme Henkelman at the University of Texas at Austin, where he developed the machine-learning software package PyAMFF. Education : BS (Materials Science, USTC), PhD (Chemistry, UNL) Affiliation : Southern University of Science and Technology, Shenzhen Peacock Plan Category B Talent Research Focus : His work bridges computational method development and catalytic mechanism discovery through: Machine learning algorithms for force field training Long-timescale dynamics simulations of nanomaterials Saddle-point searching methods for reaction pathways Monte Carlo-based catalyst optimization Development of catalytic reaction databases His recent publications in JACS , Nat. Commun. , and ACS Catalysis demonstrate expertise in: Machine learning-enhanced molecular dynamics Electrochemical catalyst design (ORR/OER) in situ reaction mechanism analysis Atomic-scale electrostatic modeling Scientific Contributions : - Led development of PyAMFF machine learning potential framework - Published 27+ SCI papers in top-tier journals - Collaborated with leading computational chemists (Henkelman, Zeng, Francisco) Awards : Shenzhen Peacock Plan Category B Talent Contact : Office: 5th Floor, North Building, College of Engineering, SUSTech Phone: 0755-88015040 Email: lil33@sustech.edu.cn | lei.li@sustech.edu.cn

• Materials Science
• Computational Method Development
• Catalytic Mechanism Study
• +۳ مورد دیگر

Dr. QUAN Chen is an Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech), holding this position since May 2025 after serving as Assistant Professor (2019-2025) and Research Assistant Professor at the University of Hong Kong (2012-2018). A Shenzhen high-level overseas talent, he earned his PhD from the University of Hong Kong and conducts cutting-edge research in electronic design automation. His academic credentials include: Ph.D. from The University of Hong Kong (2010) Master's degree from The University of Hong Kong (2007) Bachelor's degree from Sun Yat-Sen University (2005) Dr. Chen's research pioneers advanced EDA algorithms for large-scale analog/RF circuit simulation, post-Moore multi-physics analysis, and AI-assisted design technologies. His work addresses critical challenges in nanodevice modeling and quantum computing circuits, resulting in over 50 publications in top venues like IEEE TCAD and DAC, plus four Chinese patents. Analysis of his recent publications reveals dominant trends in exponential integrator methods for transient simulation, model order reduction techniques, and physics-informed machine learning for reliability analysis. His work bridges numerical mathematics with practical EDA applications across analog circuits, quantum hardware, and emerging memory technologies. Key recognitions include: Wu Wenjun Artificial Intelligence Science and Technology Award, Second Prize (2020) ICCAD Best Paper Award Nomination (2012) Dr. Chen actively recruits Postdoctoral Fellows, Research Assistants, and Graduate Students while leading major funded projects including NSFC key/general programs and Guangdong Provincial R&D initiatives. His industry partnerships with Huawei, Empyrean, and Guowei Group translate theoretical advances into real-world EDA solutions. He directs a specialized research group at SUSTech focused on computational methods for next-generation circuit design, fostering innovation in simulation algorithms and multi-physics analysis through academic-industry collaboration.

• Electronic Design Automation (EDA)
• Analog/RF Circuit Simulation
• Multi-physics Analysis
• +۲ مورد دیگر

Pavlo O. Dral serves as Associate Professor at Xiamen University's Department of Chemistry, College of Chemistry and Chemical Engineering since 2019, following postdoctoral research at the Max-Planck-Institut für Kohlenforschung. His academic credentials include: BS (2004-2008), National Technical University of Ukraine M.Sc. (2008-2010), University of Erlangen-Nürnberg Mag. (2008-2010), National Technical University of Ukraine Dr. (2010-2013), University of Erlangen-Nürnberg Dr. Dral's research pioneers the integration of Machine Learning with Quantum Chemistry , focusing on developing the MLatom package for atomistic simulations, creating accurate NDDO-based semiempirical methods, and designing hybrid computational approaches. His work targets efficient solutions for complex physicochemical problems through innovative algorithm development. Analysis of his 15 publications (2014-2020) reveals consistent advancement in machine learning applications across quantum chemistry domains, including potential energy surface modeling, excited-state dynamics, and molecular property prediction. Key thematic trends involve hierarchical learning architectures, big data integration for quantum approximations, and methodological innovations in organic semiconductor characterization. Information regarding scientific awards, student advising, research grants, and laboratory teams is not provided in the source documentation.

• Machine Learning
• Quantum Chemistry
• Computational Chemistry
• +۳ مورد دیگر

Yu He is a Researcher at the Institute of Quantum Science and Engineering, Southern University of Science and Technology (SUSTech) in Shenzhen, China, where he leads research on silicon-based quantum computing and quantum simulation. He joined SUSTech in March 2020 after international postdoctoral training. Education: Ph.D. in Physics, University of Science and Technology of China (2009-2015) B.S. in Atomic, Molecular and Optical Physics, University of Science and Technology of China (2005-2009) Research Focus: Dr. He specializes in semiconductor quantum technologies with emphasis on silicon-based atomic-scale devices, quantum simulation, and quantum networks. His work bridges experimental quantum optics, solid-state physics, and quantum information processing, particularly through quantum dot systems and dopant atoms in silicon for developing scalable quantum computing architectures. Publication Trends: His 27 publications demonstrate consistent focus on experimental quantum information science. Early work centered on high-purity single-photon sources using quantum dots. Recent breakthroughs include pioneering silicon-based quantum gates and quantum simulation platforms. Publications in Nature and Physical Review Letters frequently explore quantum measurement techniques, photonic quantum walks, and semiconductor qubit control. Awards and Honors: MIT Technology Review's 35 Under 35 Innovators (China) - 2020 Top Ten Quantum Computing Experiments in the World - 2019 Top Ten Scientific and Technological Advances in China - 2017 Laboratory Development: He directs a specialized quantum device laboratory at SUSTech developing STM-based nanofabrication and millikelvin measurement systems for silicon quantum processors. His team actively recruits postdoctoral researchers and engineers for projects in quantum dot manipulation, cryogenic electronics, and quantum chip design.

• Quantum physics
• Quantum simulation
• Quantum computation
• +۴ مورد دیگر

Professor Jingyun Fan is a Chair Professor at the Department of Physics, Southern University of Science and Technology (SUSTech) , Shenzhen. Previously, he served as a Professor at SUSTech (2020-2024) and Visiting Professor at the Shanghai Research Institute of the University of Science and Technology of China (2015-2019). B.Sc. in Physics (1992), University of Science and Technology of China M.S. in Physics (1994), University of Science and Technology of China Ph.D. in Physics (2002), University of Maryland, College Park His research focuses on quantum optics , quantum measurement , and foundations of quantum physics . Key areas include experimental validation of quantum theories, entanglement studies, and space-based quantum experiments. His work spans optical quantum networks, topological photonics, and optomechanical systems. Recent publications highlight advancements in multipartite nonlocality , gravitationally induced decoherence , and device-independent randomness . These contributions have been recognized as Top Ten Advances of the American Physical Society Top Ten Advances in Chinese Science He leads the Institute of Quantum Science and Engineering at SUSTech, offering positions for doctoral students, postdoctoral fellows, and research professors. Collaborations and recruitment inquiries can be directed to fanjy@sustech.edu.cn .

• Quantum Optics
• Quantum Measurement
• Foundations of Quantum Physics

Christina (Yang) Gao is an Assistant Professor at the Southern University of Science and Technology (SUSTech) in the Department of Physics under the Faculty of Science. Her research focuses on theoretical investigations beyond the Standard Model, particularly in dark matter phenomenology and quantum systems for dark matter detection. PhD in Physics from University of California, Davis (2012-2018) Bachelor and Master of Physics from University of Oxford (2008-2012) Dr. Gao's work spans multiple high-energy physics domains: Dark Matter Direct Detection Particle Cosmology Quantum Systems in Physics Machine Learning Applications Her publications highlight collaborative efforts in axion detection methods using superfluid helium-3 and superconducting cavities. 2023 Simons Foundation Travel Grant 2009 New College Scholarship Contact: gaoy3@sustech.edu.cn

• High Energy Physics
• Beyond-the-Standard-Model Physics
• Dark Matter Direct Detection
• +۳ مورد دیگر

Peihao Huang is an Assistant Researcher at the Institute of Quantum Engineering, College of Science, Southern University of Science and Technology (SUSTech) in Shenzhen, China. He joined SUSTech in 2018 after completing postdoctoral positions at the University at Buffalo, National Institute of Standards and Technology (NIST), and University of Maryland. Education: Ph.D. in Condensed Matter Physics, Shanghai Jiao Tong University (2006-2011) B.Sc. in Applied Physics, Shanghai Jiao Tong University (2002-2006) Dr. Huang's research focuses on solid-state quantum computing and condensed matter physics theory, particularly quantum properties in nanostructures. His work encompasses semiconductor quantum computing, quantum simulation, and quantum dissipative dynamics. He has made significant contributions to understanding spin relaxation mechanisms in quantum dots, valley physics in silicon, and developing theoretical frameworks for scalable quantum computing architectures. His research has predicted several important physical effects including valley phase effects, spin relaxation cold spots, and spin-photon strong coupling mechanisms that have advanced the field of solid-state quantum computing. Dr. Huang's publication record shows consistent contributions to quantum decoherence mechanisms and spin dynamics in semiconductor nanostructures. Several of his theoretical predictions, such as the nuclear noise suppression effect of flying spin bits and the spin relaxation effect of low-frequency electrical noise, have been experimentally verified, demonstrating the practical relevance of his work. Research Projects: National Natural Science Foundation of China - Young Scientists Fund Project: "Influence of Valley Physics in Silicon Quantum Dots on Decoherence of Spin Qubits" (2020-2022), Principal Investigator Dr. Huang actively participates in the quantum computing research community, regularly presenting his work at major conferences including the APS March Meeting and Silicon Quantum Electronics Workshops. His research contributes to the theoretical foundation needed for developing practical, scalable quantum computers based on semiconductor technology.

• Solid-state quantum computing
• Quantum simulation
• Quantum dissipative dynamics
• +۲ مورد دیگر

Prof. Zhaoyuan Ma is a tenured professor at the School of Automation and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech), with prior appointments at Tsinghua University's Future Lab (2018-2022), University of Sheffield (2017-2020), and Chinese Academy of Sciences (2009-2015). He holds a PhD in Atomic and Laser Physics from the University of Oxford (2005) and a B.Sc. in Nuclear Physics from Peking University (2001). Education: D.Phil., Atomic and Laser Physics, University of Oxford (2005) B.Sc., Nuclear Physics, Peking University (2001) His research spans Smart Manufacturing , Quantum Control , and Artificial Intelligence , with notable work on quantum engineering in microgravity environments and AI-driven biomedical imaging systems. Recent publications focus on coronary artery segmentation algorithms, optical lattice design for quantum systems, and cold atom dynamics. Key trends in his 15 most recent articles include AI applications in cardiovascular disease diagnosis, precision cooling techniques for quantum gases in microgravity, and optical lattice manipulation for quantum simulations. His work bridges theoretical quantum physics with practical manufacturing innovations. Scientific Awards: Hundred Talents Professor of Chinese Academy of Sciences (2009) Fellow of the Institute of Physics Prof. Ma has held leadership roles including Assistant Dean of Tsinghua Shenzhen International Graduate School (2020-2021) and directed the Data Driving Manufacturing Research Center at Tsinghua University's Future Lab (2018-2022). His career includes postdoctoral research at NIST, University of Maryland, UC Berkeley, and University of Oxford.

• Smart Manufacturing
• Quantum Control
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Oscar Lung Wa Chung is a tenured Full Professor at the Department of Chemistry, Southern University of Science and Technology of China (SUSTech), with a research focus on multi-scale and machine learning simulations for complex homogeneous catalysis and biocatalysis. He holds a Ph.D., M.Phil., and B.Sc. (1st Honors) in Chemistry from The Hong Kong University of Science and Technology (HKUST), where he studied under Prof. Yun-Dong Wu. Education Ph.D. (2006), HKUST M.Phil. (2003), HKUST B.Sc. (2000), HKUST His research spans multi-scale simulations of chemical and biochemical systems, with emphasis on sustainable/bio-inspired catalysis, biocatalysis, and method development. He has published 100+ SCI-indexed papers, including Chemical Reviews , Accounts of Chemical Research , and Journal of the American Chemical Society , with over 5,600 citations. Notable achievements include the 2024 Organic Chemistry Horizon Prize from the Royal Society of Chemistry and inclusion in Stanford University's Top 2% Global Scientists (2021-2024). Scientific awards 2024 Royal Society of Chemistry's Organic Chemistry Horizon Prize World's Top 2% Scientists (2021-2024) Shenzhen's Peacock Plan Awardee (2014) Fukui Fellowship (2006-2010) He teaches General Chemistry , Bioinorganic Chemistry , and Computational Chemistry , while serving as a reviewer for 20+ journals and funding agencies. His work often bridges computational predictions with experimental validation, with two proposed mechanisms incorporated into standard textbooks.

• Multi-Scale Simulations
• Homogeneous Catalysis
• Biocatalysis
• +۳ مورد دیگر

Dr. Mingyang Guo is an Associate Professor in the Department of Physics at Southern University of Science and Technology (SUSTech), where he leads the Ultracold Dipolar Quantum Gas Laboratory. He joined SUSTech in November 2021 after conducting postdoctoral research at the University of Stuttgart. Dr. Guo received his bachelor's degree in physics from Huazhong University of Science and Technology in 2013 and completed his Ph.D. at the Chinese University of Hong Kong in 2018. His doctoral research focused on creating ultracold ground-state NaRb molecules and manipulating their chemical reactivity and collisional properties. Dr. Guo's research focuses on exploring novel quantum phenomena in ultracold atomic and molecular systems. His work has made significant contributions to understanding dipolar quantum gases, supersolids, and quantum droplets. Through experimental investigations of strongly magnetic dysprosium atoms and ultracold molecules, his research group probes fundamental questions in quantum many-body physics and quantum simulation. His publication record demonstrates a consistent focus on quantum phenomena in dipolar systems, with particular emphasis on supersolidity, quantum droplets, and ultracold molecular physics. His work on supersolid states was recognized as one of the "Highlights of the year 2019" by the American Physical Society. 2021, National-level Talent program 2019, Highlights of the year 2019 by American Physical Society 2019, Humboldt Research Fellowship for Postdoctoral Researcher 2017, C N Yang Scholarships for graduate students As a doctoral supervisor at SUSTech, Dr. Guo mentors graduate students and postdoctoral researchers in experimental quantum physics. His laboratory actively seeks funding through national and regional research grants to support its experimental program, including the National-level Talent program. The Ultracold Dipolar Quantum Gas Laboratory focuses on using ultracold dipolar quantum gases to study novel quantum states, including quantum droplets under low-dimensional confinement, supersolid states, and unconventional superfluids. The group also investigates quantum simulations in long-range interacting strongly correlated optical lattice systems, researching topics such as the extended Hubbard model, topological phases, and non-equilibrium dynamical processes.

• Ultracold dipolar quantum gases
• Supersolid and dipolar quantum droplets
• Quantum simulation of strongly correlated long-range interacting lattice systems
• +۳ مورد دیگر