جستجوی استاد راهنمای دانشگاهی

• Network Biology
• Systems Toxicology
• Systems Pharmacology
• +۲ مورد دیگر

Associate Professor Tan Soon Heng is affiliated with the Department of Chemistry at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He holds joint appointments as a Group Leader at the Institute of Molecular and Cellular Biology (IMCB) and Bioinformatics Institute (BII), A*STAR, Singapore. His research focuses on network biology and system-wide characterization of protein complexes in health and disease. Education : PhD in Molecular Genetics (University of Toronto, 2011), MSc in Computer Science (National University of Singapore, 2005), BSc in Molecular Biology (National University of Singapore, 2001). Prof. Tan’s work bridges chemical biology , proteomics , and systems pharmacology to develop methods like Thermal Proximity Co-Aggregation (TPCA) and Cellular Thermal Shift Assay (CETSA) for drug target discovery. He has invented technologies enabling in situ and intact cell profiling of proteome dynamics. His research spans 15+ recent publications in high-impact journals like Science and Nature Methods , with a focus on mitochondrial dysfunction , protein degradation , and metabolic rewiring in diseases. Notable grants include the A*STAR Young Investigator Award and Industry Alignment Funds for toxicity and drug mechanism studies. Scientific Awards : Highlighted in Science , Nature Reviews , and F1000Prime ; recipient of the 2016 A*STAR Young Investigator Award. Prof. Tan’s lab at SUSTech (Room 430, Faculty Research Building 1) integrates molecular biology , computational methods , and mass spectrometry to address challenges in drug mechanism-of-action , natural product biosynthesis , and network reconstruction . His team trains students in interdisciplinary approaches, with recent graduate Liao Bin exemplifying successful alumni.

• Ultrafast manipulation of electronic properties
• Ultrafast manipulation of magnetic properties
• Ultrafast manipulation of phononic properties
• +۴ مورد دیگر

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.

• Eco-hydrological modeling
• Water environmental simulation
• Numerical simulation of hydrological processes
• +۴ مورد دیگر

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).

• Statistics in Financial Econometrics
• Quantile Regression
• Variable Selection
• +۴ مورد دیگر

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.

• Computational Mechanics
• High-Performance Computing
• Nanomechanics
• +۳ مورد دیگر

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
• +۴ مورد دیگر

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.

• Melt Atomization for Powder Production
• Metal Additive Manufacturing
• Powder Metallurgy
• +۳ مورد دیگر

Dr. Li Xinggang is a Research Professor and Doctoral Supervisor at the Department of Materials Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China. His academic career spans multiple institutions including China National Research Institute for Materials Science and Technology (formerly GRINM), and Leibniz-Institut für Werkstofforientierte Technologien (IWT) in Germany. Current: Research Professor (May 2023–present) Previous: Research Associate Professor (2020–2023), Research Assistant Professor (2018–2020) Education: Ph.D. in Process and Chemical Engineering, University of Bremen (2014) M.Eng. in Materials Science & Engineering, University of Science and Technology Beijing (2009) B.Eng. in Materials Science & Engineering, University of Science and Technology Beijing (2007) Research Interests: Dr. Li specializes in metal powder materials for additive manufacturing, with a focus on melt atomization (gas, centrifugal, plasma), metal additive manufacturing (3D printing), advanced powder metallurgy techniques, and multiphase flow simulation. His work bridges fundamental atomization physics with industrial applications in aerospace and nuclear engineering. Key technologies: Coupled pressure-gas atomization, satellite particle control Application areas: Superalloy production, low-activation nuclear reactor materials Simulation focus: Heat/mass transfer, droplet dynamics Publication Trends: His research portfolio (1 monograph, 3 book chapters, >80 papers) shows a progression from fundamental atomization modeling (2011–2017) to applied 3D printing studies (2019–2024), with consistent emphasis on process optimization and material characterization. Scientific Recognition: 2020 Shenzhen Overseas High-Level Talent (Peacock Plan Category C) 2017 Beijing Nova Program 2013 Best Poster Award (PARTECH) 2022 Outstanding Reviewer, China Science and Technology Journal Excellence Plan Advising and Grants: As a Doctoral Supervisor, he mentors graduate students like Liu Chang (2019 Outstanding Young Paper Award). He has secured >10 major grants including National Natural Science Foundation projects, Shenzhen Technical Research grants, and GF Science and Technology Bureau initiatives. Labs and Teams: Based in Room N425, North Building at SUSTech, he leads research in metal powder equipment development (e.g., China's first coupled pressure-gas atomization system) and collaborates with international institutions like IWT-Bremen. His team works on both academic research and corporate partnerships.

• Tumor Biology
• Cell Biology
• RNA Biology
• +۳ مورد دیگر

FANG Liang is a Researcher at the Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology . Previously, he worked as a Postdoctoral Fellow at the Max Delbrück Center for Molecular Medicine and as a Research Assistant at Charité-Universitätsmedizin, University of Berlin . Education : Ph.D. in Cell Biology, Humboldt University of Berlin (2013) M.Sc. in Pharmacology, Zhejiang University (2007) B.Sc. in Pharmaceutical Sciences & Biotechnology, Zhejiang University (2005) His research focuses on organoid culture platforms for tumor modeling , studying Wnt/beta-catenin signaling in cancer stem cells , and developing CRISPR-based genomic screening tools for RNA regulation. His work bridges single-cell sequencing and epigenetic biomarker discovery in tumor diagnostics. Recent publications emphasize organoid-based tumor evolution studies , CRISPR screening for RNA modifications , and cross-tissue molecular analysis . Awards include recognition as a Shenzhen Overseas High-Level 'Category C' Talent (Peacock Plan). Collaborations span institutions in Germany and China, with lab facilities in Huiyuan Building 4, 3rd floor . Contact: fangl@sustech.edu.cn | Phone : 13823288350

• Drug delivery
• Drug discovery
• Oral drug delivery
• +۶ مورد دیگر

Dr. Zhi Luo is an Associate Professor at the Department of Biomedical Engineering, College of Engineering, Southern University of Science and Technology (SUSTech) in Shenzhen, China. Born in China in 1991, he received his Bachelor's degree from Tsinghua University in 2013 and his PhD with distinction from École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland in 2018 under the supervision of Professor Francesco Stellacci. After completing postdoctoral research at ETH Zurich under Professor Jean-Christophe Leroux, he joined SUSTech in 2021 as a full-time faculty member and was selected as a National High-Level Talent (Young Talent). Dr. Luo's educational journey began with a Bachelor's in Chemical Engineering from Tsinghua University (2009-2013), followed by a PhD in Materials Science from EPFL, Switzerland (2013-2018). His doctoral research focused on the physical chemistry and synchrotron characterization of complex nanomaterial interfaces, earning him the EPFL Thesis Distinction Award in 2018. Dr. Luo heads the Laboratory of Bioinspired Medicine and Materials, where his research integrates surface sciences, supramolecular chemistry, 3D printing, and material characterization to develop innovative pharmaceutical solutions, with a particular emphasis on oral drug delivery. His interdisciplinary approach identifies fundamental scientific questions from complex medical phenomena and applies advanced characterization techniques to develop novel drug delivery systems. His research in oral drug delivery has progressed to human trials, demonstrating significant clinical translation potential. Analysis of Dr. Luo's publication record reveals a strong focus on nanomaterial interfaces, drug delivery systems, and advanced characterization techniques. His work spans pharmaceutical sciences, materials science, and biomedical engineering, with notable contributions in gold nanoparticle characterization, 3D printing of medical devices, and novel drug delivery mechanisms. A significant portion of his research involves collaboration with multinational pharmaceutical companies, highlighting the translational nature of his work. IPW Young Scientist Lecture Award, ETHZ (2020) ETH Fellow (2019) EPFL Thesis Distinction Award (2018) Chinese government award for outstanding self-financed student study abroad (2018) Highlight research of the year, Heinz Maier-Leibnitz Zentrum (2016) June Tsao-Yu Scholarship (2012) Dr. Luo maintains long-term collaborations with multiple multinational pharmaceutical companies and has established a robust research program focused on translating fundamental discoveries into clinical applications. His laboratory provides comprehensive training in scientific research, instrument platform development, laboratory management, and grant writing, supporting students and researchers in pursuing advanced degrees and professional development opportunities. The Laboratory of Bioinspired Medicine and Materials features a highly interdisciplinary environment with expertise spanning materials physics and chemistry, pharmaceutical sciences, synchrotron radiation, and neutron scattering characterization. The lab actively recruits PhD students, postdoctoral fellows, and research assistants across multiple disciplines including materials chemistry, drug delivery, biology/medicine, and engineering, with a focus on addressing unmet clinical needs through innovative pharmaceutical solutions.

• 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.

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.