جستجوی استاد راهنمای دانشگاهی

Hua Chen is an Associate Researcher and PhD Supervisor at the School of Quantum Science and Engineering at Southern University of Science and Technology (SUSTech), with extensive experience in quantum computing circuit design and MEMS sensor interfaces. Previously, he served as an Associate Researcher at the Institute of Microelectronics, Chinese Academy of Sciences (2021-2022) and as an Assistant Researcher there from 2017-2021, building on his industry experience as an RF/Analog IC Design Engineer at Southwest Integrated Circuit Design Co., Ltd (2007-2010). Education: Ph.D. in Microelectronics and Solid-State Electronics, University of Chinese Academy of Sciences (2014-2017) M.Eng. in Electronic and Communication Engineering, University of Chinese Academy of Sciences (2011-2014) B.Eng. in Microelectronics, Chongqing University of Posts and Telecommunications (2003-2007) Dr. Chen's research focuses on interface circuit design for quantum computing and MEMS sensors, with particular expertise in high performance analog/RF/mixed-signal IC design. His recent work has shifted toward cryogenic circuit design for quantum bit control and readout systems, representing a strategic pivot toward China's national priority in quantum information technology. His publications reveal a consistent trajectory from MEMS gyroscopes and oscillators toward quantum computing hardware support circuits, demonstrating his ability to adapt expertise to emerging technological frontiers. Dr. Chen's research output shows a clear evolution from traditional MEMS sensor interfaces toward quantum cryogenic electronics, with his 15 most recent publications heavily concentrated in cryogenic circuit design for quantum applications. This represents a strategic shift aligning with China's substantial investment in quantum computing research, particularly in the development of control and readout electronics for scalable quantum systems. His significant honors include: Special talent of Shenzhen's Pengcheng Peacock Plan (January 2024) IEEE Senior Member (February 2022) Intellectual Property Specialist of Chinese Academy of Sciences (January 2020) Outstanding Employee (Top 10%) at Institute of Microelectronics CAS (2020) Multiple Graduate Student Scholarships from Institute of Microelectronics CAS (2015-2017) As a PhD Supervisor at SUSTech, Dr. Chen mentors graduate students in quantum circuit design while leading research funded through multiple sources including a Beijing Natural Science Foundation General Project (RMB 200,000) for RF MEMS disk oscillator drive circuits and a Youth Project (RMB 100,000) for MEMS gyroscope phase alignment. He has also participated in major national projects totaling over RMB 27 million, demonstrating his integration into China's strategic research initiatives. Dr. Chen leads a research group at the International Quantum Academy in Shenzhen focused on cryogenic CMOS integrated circuit design for quantum computing applications. His team develops specialized low-temperature measurement and control chips that address critical challenges in scaling quantum computing systems, with particular emphasis on MEMS-based quantum frequency references and cryogenic amplifiers that operate at temperatures near absolute zero.

• Quantum Computing
• MEMS Sensors
• Analog Circuit Design
• +۵ مورد دیگر

Dr. Qing Guo is an Associate Professor in the Department of Chemistry at South University of Science and Technology (SUSTech), where he joined in April 2019 as a research group leader and doctoral supervisor. His research focuses on fundamental processes of energy-related catalytic reactions, with particular emphasis on surface photocatalysis and reaction mechanisms. Bachelor of Science: University of Science and Technology of China (2007) PhD: University of Chinese Academy of Sciences (2013) Research Assistant/Associate Fellow: Dalian Institute of Chemical Physics, Chinese Academy of Sciences (2013-2019) Associate Professor: SUSTech Department of Chemistry (2019-present) Dr. Guo's research interests center on surface catalysis mechanisms, particularly in energy-related photocatalytic reactions. He develops novel scientific instruments to investigate photocatalytic C-H bond activation of small alkane molecules, carbon chain growth, and the interaction mechanism between metal clusters and substrates. His work spans photocatalytic hydrogen production, alkane activation and conversion, biomass conversion, and single-atom catalysis. His innovative approach combines instrument development with fundamental surface science to address critical challenges in energy conversion. Analysis of Dr. Guo's recent publications reveals a strong focus on titanium dioxide-based photocatalysis, with particular attention to reaction mechanisms at the molecular level. His work systematically investigates the roles of surface oxygen species, photon energy effects, and reaction intermediates in hydrocarbon conversion processes. The research shows an increasing sophistication in both experimental techniques and theoretical understanding, with recent work extending to ammonia synthesis, electrocatalysis, and excitonic effects at molecule/metal oxide interfaces. Dr. Guo leads an active research group that has produced over 80 publications in high-impact journals including J. Am. Chem. Soc., JACS Au, Chem. Sci., and Adv. Mater. His work demonstrates significant contributions to understanding fundamental photocatalytic processes, with potential applications in green energy and sustainable chemical production. Dr. Guo serves as a doctoral supervisor and has mentored numerous graduate students, many of whom appear as co-authors on his publications. His research group has developed several large-scale research instruments, including a surface photochemical kinetics research device, an in situ catalytic mechanism research device, a surface scattering kinetics research device, and a device for preparing controllable size clusters. These instruments have enabled systematic investigation of important energy-related catalytic reactions. Dr. Guo's laboratory focuses on the development and application of advanced surface science techniques to study energy-related catalytic reactions. His team combines experimental surface science approaches with theoretical modeling to gain molecular-level understanding of photocatalytic processes. The group actively recruits postdoctoral researchers and research assistants with backgrounds in vacuum technology, optics, semiconductors, and surface chemistry.

• Surface Catalysis
• Photocatalysis
• Energy-Related Catalytic Reactions
• +۷ مورد دیگر

Zhe Dong is an Associate Professor (Researcher) and doctoral supervisor in the Department of Chemistry at the Southern University of Science and Technology . He obtained his B.S. from Peking University (2012), Ph.D. from the University of Chicago (2018), and conducted postdoctoral research under 2021 Nobel laureate David MacMillan at Princeton University (2018–2021). Current focus on photoredox-enabled organoboron chemistry and heterocycle functionalization Developed stereospecific coupling reactions for chiral quaternary carbon synthesis Innovated carbocation-carbanion substitution reactions and bioimaging probes His 15+ publications include Nature , JACS , and Nature Chemistry papers spanning: Photoredox-mediated deoxygenation Pd/NBE cooperative catalysis Protein hydrophobic pocket mapping Natural product total synthesis C-H bond functionalization strategies Scientific Recognition: National Scholarship for Outstanding Self-funded Students (2015) Reaxys PhD Prize Finalist (2017) University of Chicago Best Thesis Award (2018) Overseas High-level Talent Program (2020) Current funding includes Ministry of Science and Technology Key R&D Program (2021–2024) and participation in Peacock Team and Guangchuang Team research consortia.

• Organic Synthesis
• Photoredox Catalysis
• Organoboron Chemistry
• +۴ 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

Xuehai Qian is a Tenured Full Professor in the Department of Computer Science at Tsinghua University since July 2024. Prior to this, he served as an Associate Professor at Purdue University (2022-2024), Assistant Professor at the University of Southern California (2015-2022), and Postdoctoral Researcher at the University of California Berkeley (2013-2015). Ph.D. in Computer Science, University of Illinois at Urbana-Champaign, USA (2013) ME in Computer Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, China (2007) BE in Computer Science and Technology, Beihang University, China (2004) His research focuses on parallel computer architecture , hardware/software co-designed domain-specific architectures for graph analytics and machine learning , hardware security , and quantum computer architecture . He has pioneered scalable cache coherence protocols for atomic block execution, hardware sequential consistency violation detection, and distributed frameworks for graph processing leveraging emerging memory technologies. Xuehai Qian’s publications span computer architecture , graph analytics , machine learning systems , and quantum computing , with a strong emphasis on distributed systems , accelerators , and memory optimization . His work includes novel architectures for graph processing, decentralized training protocols, and ReRAM-based accelerators for deep learning. NSF CAREER Award (2018) ACSIC (American Chinese Scholar In Computing) Rising Star Award (2019) IEEE Senior Member (2019) Hall of Fame inductions: ASPLOS (2018), HPCA (2019), ISCA (2021), MICRO (2021) W.J. Poppelbaum Memorial Award (2013) He has advised students who have received Microsoft Research Lovelace Fellowships , Ph.D. Fellowships , and Facebook Fellowships . His research has been supported by grants such as the NSF SPX project on FPGA-based machine learning platforms and smaller NSF grants. Notably, he has served as an Associate Editor for Science China (Information Sciences) since 2023 and as a Guest Editor for IEEE Transactions on Parallel and Distributed Systems (2019).

• Computer Architecture
• Computer Systems
• Hardware Security
• +۳ مورد دیگر

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

HUANG Li is an Associate Professor in the Department of Physics at Southern University of Science and Technology (SUSTech) , where she has been since September 2019. She joined SUSTech in February 2013 as an Assistant Professor, advancing to her current rank. Her research focuses on quantum materials , novel energy materials , nonequilibrium phase selectivity , and surface/interfacial phenomena using first-principles computational methods and theoretical models . Educational Background: Ph.D. in Physics, Fudan University (2006) M.Sc. in Physics, Xiangtan University (2002) B.A. in Physics, Xiangtan University (1999) Research Interests span quantum materials (e.g., Moire superconductors , topological insulators ), novel energy materials (e.g., thermoelectrics , supercapacitors ), and surface/interfacial dynamics. Her recent work emphasizes two-dimensional systems , spin-valley-layer coupling , and nonequilibrium phase transitions in van der Waals heterostructures and metal-organic frameworks . Publications highlight her expertise in ab initio molecular dynamics , density functional theory , and quantum transport . Key trends include Moiré engineering in twisted bilayers, strain-tunable magnetism , and ferroelectricity in layered materials. Scientific Awards and Grants include leadership roles in projects funded by the National Natural Science Foundation of China and Shenzhen Science & Technology Commission . Notable grants address quantum state control in Moiré superlattices , nonlinear Hall effects , and thermoelectric performance enhancement . Professional Experience: Postdoctoral Research Associate at Ames Laboratory (2008–2012) Joint Postdoc at Georgia Institute of Technology & Ames Laboratory (2006–2008) Visiting Scholar at Harvard University & Oak Ridge National Laboratory (2004–2006)

• Quantum Materials
• Novel Energy Materials
• Phase Selectivity under Nonequilibrium Conditions
• +۷ مورد دیگر

Dr. Shuping Liu is a Research Assistant Professor at the Institute for Quantum Science and Engineering , Southern University of Science and Technology (SUSTech), China, since August 2019. Her research focuses on solid-state quantum memory, rare earth crystals, and their applications in quantum storage, communication, and computation. Ph.D. in Materials Sciences (2016), Shanghai Institute of Ceramics, Chinese Academy of Sciences Joint Ph.D. (2015), Institute of Physics, Czech Academy of Sciences Master's (2012), University of Science and Technology of China Bachelor's (2011), Wuhan University of Technology Dr. Liu's expertise spans design, synthesis, and high-resolution spectroscopy of rare earth ion-doped materials, with applications in optical quantum technologies and scintillation ceramics. Her work addresses defect engineering, size reduction of nanoparticles, and optimization of luminescence properties for quantum memory systems. Her publications emphasize quantum-grade nanomaterials (2020–2021), coherent spectroscopy (2019), and scintillator optimization (2014–2017). Key methodologies include defect control, codoping strategies, and nanoscale fabrication, aligning with quantum storage and radiation detection technologies. Dr. Liu has no explicitly listed scientific awards or advisees in the provided text. Her collaborative work spans institutions including CNRS (France), Academy of Sciences of Czech Republic, and Shanghai Institute of Ceramics.

• Quantum Technologies
• Rare Earth Materials
• Solid-State Spectroscopy
• +۴ مورد دیگر

Dr. Chen Xihan is an Associate Professor in the Department of Mechanical and Energy Engineering at the Southern University of Science and Technology (SUSTech) . Since 2021, he has led a vibrant research group focused on ultrafast spectroscopy , solar energy conversion , and photocatalytic mechanisms . He is a principal investigator on the National Youth Project and a Shenzhen Overseas High-Level Talent (Category B). Education: Ph.D. in Physical Chemistry, University of California, Berkeley (2012–2017) B.S. in Chemistry, Hong Kong University of Science and Technology (2008–2012) Research Focus: Dr. Chen’s research integrates advanced ultrafast transient spectroscopy to probe and control energy-conversion processes at material interfaces. His group investigates ultrafast interface carrier dynamics , quantum spin control , and photocatalytic kinetics in perovskites, 2D materials, and hybrid systems. These studies provide real-time insights into surface recombination, charge separation, and reaction intermediates—knowledge critical for designing next-generation solar cells, solar-fuel devices, and spin-optoelectronic components. Publication Impact & Trends: With more than 60 peer-reviewed papers in journals such as Science , Nature Catalysis , Nature Communications , Energy & Environmental Science , and Journal of the American Chemical Society , Dr. Chen’s work has accumulated over 6,000 citations (h-index 36). Recent articles (2023–2024) emphasize hot-carrier extraction , spin-polarized lifetime tuning , and interface passivation strategies that push perovskite solar-cell efficiencies beyond 27 % and enable stable, metal-free photocatalytic fuel production. Scientific Awards: Shenzhen Overseas High-Level Talent (Category B), 2021 NREL Postdoc Publication Award, 2020 NREL Director’s Award, 2019 Overseas High-Caliber Personnel (Level B), Shenzhen, 2018 Funding & Team Leadership: Dr. Chen is PI on the National Youth Project and multiple provincial grants. His group presently includes postdoctoral researchers, PhD and MSc students, and visiting scholars working on three synergistic thrusts: (1) in-situ ultrafast reflectance spectroscopy of solar-cell surfaces, (2) transient spin-polarization studies of low-dimensional perovskites, and (3) time-resolved mechanistic studies of photocatalytic water splitting and CO₂ reduction. The team operates state-of-the-art femtosecond pump-probe and transient absorption laboratories at SUSTech’s Engineering Building North 312 .

• Ultrafast spectroscopy
• Solar energy conversion
• Photocatalysis
• +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

Kai-Qiang Lin serves as Professor in the Department of Chemistry at Xiamen University's College of Chemistry and Chemical Engineering since 2023, following academic appointments at Germany's University of Regensburg (2018-2022). His research laboratory operates from Tan Kah Kee Innovation Laboratory Building (Room 2313). Academic Background: B.S. in Chemistry, Xiamen University (2009-2013) Ph.D. in Physical Chemistry, Xiamen University (2013-2018) Postdoctoral Researcher, University of Regensburg (2018-2019) Akademischer Rat a.Z., University of Regensburg (2020-2022) Research Focus: Dr. Lin pioneers experimental investigations of quantum optical phenomena in two-dimensional materials, specializing in ultrafast spectroscopy of excitonic systems. His work bridges quantum nonlinear optics and optoelectronics , with emphasis on valley-polarized trions, interlayer excitons, and twist-angle engineered heterostructures in transition metal dichalcogenides like WSe 2 . This research enables breakthroughs in quantum information processing and nanoscale optoelectronic devices. Publication Trends: His 9 recent papers (2017-2024) in Nature-family journals demonstrate consistent leadership in 2D material photonics , evolving from plasmonic sensing (2017) to ultraviolet excitonics (2024). Key thematic progression shows increasing focus on quantum interference effects and moiré superlattice engineering for controlling light-matter interactions at sub-nanometer scales. Scientific Recognition: Walter-Schottky-Preis (2023) Invited to 69th Nobel Laureate Meeting, Lindau (2019) Laboratory Operations: The LKQ Lab (lkqlab.xmu.edu.cn) maintains experimental facilities for ultrafast laser spectroscopy and low-temperature optical characterization, directing research on quantum optical phenomena in van der Waals heterostructures through international collaborations with groups in Germany, Japan, and the US.

• Ultrafast optics
• quantum nonlinear optics
• 2D materials
• +۲ 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

Qihang Liu serves as Professor in the Department of Physics at Southern University of Science and Technology (SUSTech), where he leads a research group focused on theoretical condensed matter physics and computational materials science. Previously Associate Professor at SUSTech (2018-2023), he maintains active collaborations with Peking University and international institutions including University of Colorado Boulder and Northwestern University. Education: Ph.D. in Condensed Matter Physics, Peking University (2007-2012) B.S. in Physics, Peking University (2003-2007) Research Focus: His work centers on symmetry-driven phenomena in quantum materials, particularly spin-group theory for magnetic systems and topological effects induced by spin-orbit coupling. Key contributions include: Development of FINDSPINGROUP program for spin symmetry identification Prediction of unconventional magnetism in antiferromagnets Design principles for quantum anomalous Hall effect in superlattice structures Computational exploration of spin-orbitronics materials Publication Trends: Recent publications (2019-2022) demonstrate consistent innovation in symmetry applications to magnetic topological materials, with emphasis on antiferromagnetic spintronics and computational design of novel quantum states. His work bridges theoretical predictions with experimental realizability in systems like Mn-Bi-Te compounds. Scientific Recognition: SUSTech Young Researcher Award (2021) SUSTech Young Professor Award (2022) Shenzhen Jieqing Talent Project (2022) Stanford Top 2% Scientists (2021, 2022) Grants & Leadership: Principal Investigator for China's National Key R&D Program "Quantum Control and Quantum Information" (2020), securing major funding for quantum materials research. His group actively mentors graduate students while developing next-generation spintronic materials and symmetry-based computational tools. Research Infrastructure: The Liu Research Group maintains specialized computational facilities for first-principles calculations and collaborates with experimental teams to validate theoretical predictions on spin-orbit coupling effects and topological phenomena in low-dimensional systems.

• Theoretical Condensed Matter Physics
• Computational Materials Science
• Spin-Orbit Coupling
• +۵ 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