جست‌وجوی استاد و پژوهشگر

• Numerical and analytical modeling of subsurface multi-component, multiphase flows
• Environmental and ecological implications of coastal groundwater flow
• Aquifer parameter estimation
• +۳ مورد دیگر

Dr. Li Hailong is a Chair Professor at the School of Environmental Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen. He holds a PhD in Hydrogeology from the University of Hong Kong (2003), an MSc (1991) and BSc (1988) in Applied Mathematics from Fudan University. His academic journey includes professorships at China University of Geosciences-Beijing (2009-2020) and Anshan Normal University (1999-2009). Recipient of 2010 NSFC Outstanding Young Scientist Grant 2022 Dayu Water Conservancy Science and Technology Award 2008 Chutian Professorship (Hubei Province's highest academic honor) Dr. Li's research focuses on multi-component, multi-phase subsurface flows in coastal zones and their ecological/environmental effects. His work spans aquifer parameter estimation, ecohydrology, marine groundwater discharge, and computational fluid dynamics. Recent projects involve submarine groundwater discharge (SGD) quantification in Bohai Sea and Jiaozhou Bay using radium/radon isotopes. His publications in top journals like Nature Geoscience , Geochimica et Cosmochimica Acta , and Water Resources Research have been cited 7,072 times (H-index 49). He has led 19 research projects, including 6 NSFC grants and 973 Program subprojects. Dr. Li serves on editorial boards of Advances in Water Resources and Water Science and Engineering , and was Associate Editor for Hydrogeology Journal (2012-2015).

Cao Haishanمشاهده پروفایل

دانشیار

• Cryogenic Cooling
• Micro Cryocoolers
• Joule-Thomson Cooling
• +۱۲ مورد دیگر

Cao Haishan is an Associate Professor at Tsinghua University, affiliated with the Department of Energy and Power Engineering in the School of Mechanical Engineering. His research focuses on cryogenic cooling systems, high heat flux thermal management, and the physics of amorphous ice formation and phase transitions. He leads a research group supported by the National Natural Science Foundation of China and industry partners including Huawei, Midea, and Lenovo. Ph.D., Mechanical Engineering, University of Twente, 2013 M.Sc., Chemical Engineering, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 2009 B.Sc., Chemical Engineering, Zhejiang University, 2006 Dr. Cao's research spans three major areas: cryogenic cooling (including micro cryocoolers and sorption systems), high heat flux electronic cooling (especially with non-condensable gases), and the formation and transformation of amorphous water ice. His work combines theoretical modeling, computational simulation, and experimental validation, often at micro and nano scales. He applies principles from thermodynamics, fluid dynamics, and materials science to solve engineering challenges in refrigeration and thermal control. The recent publications reflect a strong trend toward interdisciplinary research, integrating machine learning for heat transfer prediction, computational screening of MOFs for cryogenic switches, and fundamental studies of ice nucleation on various substrates. The articles span journals in physics, engineering, materials, and applied thermal sciences, indicating broad impact across multiple domains. Notable scientific awards include: Gustav and Ingrid Klipping Award (2016) Cryogenics Best Paper Award (2017) Annual Teaching Excellence Award, Tsinghua University (2023) Excellent Supervisor Award, Tsinghua University (2024) Multiple First Prize Advisor awards in national student contests on energy saving Dr. Cao has been principal investigator on several grants, including projects funded by the National Natural Science Foundation of China on amorphous ice lifetime and micro-cryocooling for semiconductor chips. He has also led industry-university collaborations with Huawei, Midea, and Lenovo. He advises graduate students and leads a research team focused on next-generation cooling technologies. He serves on editorial boards for Journal of Refrigeration , Vacuum and Cryogenics , and Energies , and has chaired sessions at major international conferences such as ICEC-ICMC and ACTS. His research group operates within the Institute of Thermophysics at Tsinghua University, leveraging facilities in the Lee Shau Kee Science and Technology Building. The team collaborates with national laboratories and international institutions, particularly maintaining ties with the University of Twente. Current efforts are directed toward ultra-low vibration cooling, efficient separation of non-condensable gases, and extending the stability of amorphous ice for cryobiological applications.

• Multiphase flows
• Ferrofluids
• Microfluidics
• +۴ مورد دیگر

Dr. Xiang Li serves as a Research Assistant Professor in the Department of Mechanics and Aerospace Engineering at the College of Engineering, Southern University of Science and Technology (SUSTech). He earned his Ph.D. in Mechanics from Harbin Institute of Technology in 2022 and previously held the position of SUSTech Presidential Postdoctoral Fellow. His academic journey includes: Ph.D. in Mechanics, Harbin Institute of Technology (2018-2022) Master in Mechanical Engineering, Shantou University (2015-2018) Bachelor in Mechanical Engineering, Shenyang University of Chemical Technology (2010-2014) Dr. Li's research specializes in experimental and computational fluid dynamics of complex multiphase systems, with particular focus on magnetic fluids. His work integrates theoretical modeling, numerical simulation techniques, and practical applications in microfluidics and advanced manufacturing. He has developed novel lattice Boltzmann methods for simulating ferrofluid behavior under magnetic fields, contributing significantly to the understanding of multiphase interface phenomena. His scholarly impact is evidenced by 19 research papers (including 4 ESI highly cited papers and 1 ESI Hot paper), 58 filed national patents in China (26 granted), and 3 PCT patents. His publications demonstrate a consistent focus on computational methods for magnetic multiphase flows, with recent work extending into biomedical applications such as COVID-19 detection systems. Professional recognitions include: Young Research Award of Guangdong Mechanics Society (2023) Excellent Postdoc of Shenzhen (2023) PoF Young Researcher Award (2017) National Scholarship at both Master's and PhD levels Outstanding Doctoral Graduate and Dissertation awards from SUSTech (2022) Dr. Li has secured five research projects totaling 930,000 yuan in funding, including the National Natural Science Foundation of China Youth Project. He actively contributes to the scholarly community as a reviewer for multiple journals, maintaining Star Reviewer status for Physics of Fluids from 2019-2023.

Chao YUANمشاهده پروفایل

استاد

• Discrete Element Modeling
• Multi-physics and Multiphase Couplings
• Unsaturated Soil Mechanics
• +۱ مورد دیگر

Chao YUAN is a Professor in the Department of Engineering Mechanics at the School of Civil Engineering, Shandong University, China. He obtained his PhD in Geomechanics/Civil Engineering from Université Grenoble Alpes (France) in 2016, following MSc and BEng degrees from Shandong University. Education : PhD (2012-2016), MSc (2009-2012), BEng (2005-2009) Prior Appointments : Postdoctoral Associate at University of Calgary (2017-2019), Postdoctoral Research Fellow at Université Grenoble Alpes (2016-2017) Research Interests focus on granular material mechanics through advanced computational methods. His work includes discrete element modeling , multi-physics/multiphase couplings , unsaturated soil mechanics , and soil conditioning in Tunnel Boring Machines . Key contributions involve pore-scale simulations of hydromechanical interactions and stability analysis of tunnels and slopes. Publication Trends emphasize computational geotechnics , with studies on drainage dynamics, wetting-induced collapse, and machine learning applications in geomechanics. His articles span journals like Granular Matter , Proceedings of the National Academy of Sciences , and Acta Geotechnica , reflecting interdisciplinary approaches to granular media. Contact : chao.yuan@sdu.edu.cn , chaoyuan.geo@outlook.com

• Computational Mathematics
• Traffic Flow Modeling
• Numerical Solutions of PDEs
• +۱ مورد دیگر

Shumo Cui is an Assistant Professor in the Department of Mathematics at Southern University of Science and Technology (SUSTech), where he has been employed since September 2019. He is also affiliated with the International Center for Mathematics (Gelmanov Mathematical Center) at SUSTech. His educational background includes: Ph.D. in Mathematics from Tulane University (2015) B.S. in Applied Mathematics from Tongji University (2010) Dr. Cui's research focuses on computational mathematics with applications in traffic flow modeling and simulation, numerical solutions of partial differential equations, and computational finance. His work bridges theoretical mathematics with practical applications, particularly in the emerging field of autonomous vehicle traffic control. His research has led to significant contributions in understanding and mitigating traffic waves through the strategic deployment of autonomous vehicles, as well as developing advanced numerical methods for fluid dynamics and financial modeling. His publications demonstrate a strong interdisciplinary approach, combining mathematical rigor with real-world applications. The research spans from theoretical numerical methods for PDEs to practical implementations in traffic engineering and financial modeling. His recent work has particularly focused on applying mathematical models to traffic flow problems, with several publications on autonomous vehicle control in traffic systems. Dr. Cui teaches courses including MATLAB Programming and Application (MA1103) and Partial Differential Equations (MA303).

• Offshore Geotechnical Engineering
• Marine Foundation Engineering
• Marine Mooring and Anchoring Technologies
• +۴ مورد دیگر

Dr. Fu Yong is an Assistant Professor and doctoral supervisor at the Department of Marine Science and Engineering , Southern University of Science and Technology (SUSTech), Shenzhen, China. He earned his PhD in Geotechnical Engineering from the National University of Singapore (NUS) in 2018, preceded by a Master's (Tongji University, 2013) and Bachelor's (Shanghai University, 2010) in Civil Engineering . Current Role: Assistant Professor, SUSTech (2020–present) Prior Roles: Research Fellow (NUS, 2018–2020), Research Engineer (NUS, 2017–2018) Dr. Fu specializes in marine geotechnical engineering , with key focuses on offshore wind power foundation design, deep-sea anchoring technologies, and underground space development. His technical expertise includes large deformation finite element modeling (CEL/RITSS methods), stochastic analysis , and machine learning (GWO-MLP optimization). His work bridges laboratory experiments (centrifuge and field tests) with computational simulations to address challenges in marine infrastructure. Marine foundation design for offshore wind turbines and marine ranches Deepwater dynamic penetration anchoring systems Horizontal deep soil mixing equipment for underground space Finite element simulation of large deformations and thermal effects His publication trends reveal a consistent focus on offshore anchoring mechanics, shale fracture modeling, and machine learning integration for geotechnical predictions. Recent works (2024–2025) emphasize torsional effects in suction anchors, sand-GFRP interface behavior, and advanced constitutive models for cemented soils. Key journals: Geotechnique , Ocean Engineering , Physics of Fluids , Computers and Geotechnics Dr. Fu has received multiple scientific awards , including the 2024 SUSTech Undergraduate Teaching Award, 2022 SUSTech Outstanding College Mentor Award, and NUS Research Scholarship (2013–2017). Selected Honors: 2024 First Prize, SUSTech Undergraduate Teaching Award 2022 SUSTech Outstanding College Mentor 2020 Shenzhen Overseas High-level C Talent He actively contributes as a reviewer for 18+ international journals and serves on editorial boards for journals like Sustainable Structures . His work on machine learning-driven anchor penetration prediction (2024) and hybrid phase-field shale fracture modeling (2024) exemplifies interdisciplinary innovation.

Qingyang Linمشاهده پروفایل

استاد پژوهشی

• Pore-Scale Imaging
• Transport in Porous Media
• Energy Engineering
• +۵ مورد دیگر

Qingyang Lin is a PhD Research Professor and Doctoral Supervisor at the College of Energy Engineering, Zhejiang University , where he joined in October 2020. His expertise lies in pore-scale imaging and modeling of transport in porous media, with applications across energy sectors. Prior to this, he was a Research Associate at Imperial College London (2015-2020), collaborating with Prof Martin J. Blunt (FREng). He holds a PhD (2015) in Earth Science and Engineering from Imperial College London, supervised by Prof Stephen Neethling and Prof Peter Lee (FREng). His research integrates advanced X-ray imaging, synchrotron sources, and numerical models to study micro/nano-scale transport mechanisms. Key research themes: CO 2 storage and uncertainty quantification Thermal energy storage optimization Decarbonization strategies for industries Electrochemical device design Mineral and ore processing His publications span journals like Applied Energy , AIChE Journal , and Geophysical Research Letters , reflecting interdisciplinary applications of porous media transport. While no specific awards or grants are mentioned, his work has accrued over 2900 citations with an h-index of 32. He advises doctoral students at Zhejiang University, though no advisees are named in the provided text.

• Numerical Partial Differential Equations
• Multiscale Modeling and Simulations
• Sparse Representation of Data
• +۲ مورد دیگر

ZHANG Zhen is an Associate Professor at Southern University of Science and Technology (SUSTech), where he has been affiliated since 2015. His academic journey includes a Ph.D. and M.Phil. in Applied Mathematics from Hong Kong University of Science and Technology (HKUST), and a B.S. in Mathematics from the University of Science and Technology of China (USTC). Prior to joining SUSTech, he served as a Research Fellow at the National University of Singapore (2013-2015) and held teaching/research positions at HKUST. His research focuses on three interconnected domains: Numerical Partial Differential Equations , Multiscale Modeling of Moving Contact Lines in Multiphase Flow , and Sparse Representation Techniques for High-Dimensional Data . This work bridges mathematical theory with practical applications in fluid dynamics and materials science. Publication analysis reveals a consistent focus on mathematical modeling of physical processes, particularly interfacial phenomena and material purification. His articles frequently appear in applied mathematics and computational physics journals, demonstrating strong cross-disciplinary collaboration with engineers and materials scientists. Awards recognizing his contributions include: HKMS Best Thesis Award (2015) US Patent for an ultrapure phosphorus production method (2011) Guanghua Prize at USTC (2006)

Qiangyong Zhangمشاهده پروفایل

استاد

• Rock mechanics
• Geotechnical engineering
• Numerical simulation
• +۴ مورد دیگر

Qiangyong Zhang is a Professor and PhD Tutor at the School of Civil Engineering , Shandong University , serving as Deputy Dean. His work focuses on geotechnical engineering, particularly deep underground structures and rock mechanics. Stability analysis of surrounding rock in deep caves Numerical and physical simulation of geotechnical systems Mechanical properties of fractured rock masses High slope reinforcement Rock-soil interaction mechanics Underground engineering disaster risk control Tunnel construction mechanics His research trends emphasize zonal disintegration mechanisms, time-dependent rock behavior, seepage-stress coupling, and advanced numerical/experimental methods for underground energy storage. Scientific contributions include: Over 15 recent publications in high-impact journals Development of specialized geomechanical test systems Fundamental studies on creep, fracturing, and reinforcement Scientific awards : Recognized as Taishan Scholar Distinguished Expert . Collaborative network spans multiple institutions, with co-authors from Chinese academia and industry in energy/geotechnical sectors.

Ji-Peng Wangمشاهده پروفایل

استاد

• Computational and experimental mechanics of granular materials
• Unsaturated soil mechanics
• Slope and dam stability
• +۵ مورد دیگر

Ji-Peng Wang is a Professor in Geomechanics and Hydraulic Engineering at the School of Civil Engineering, Shandong University. He is recognized as a Taishan Scholar (Young Professional) and Qilu Young Scholar of Shandong University. His research spans computational and experimental mechanics of granular materials, unsaturated soil mechanics, slope and dam stability, and environmental geotechnical engineering. He serves as the Secretary of International Affairs for the School and is an International Collaboration Ambassador for Shandong University. Education: BEng in Hydraulic and Hydro-electric Engineering, Sichuan University (2006-2010) MSc in Civil Engineering (Geotechnical), University of Nottingham (2009-2010) PhD in Geomechanics, University of Nottingham (2011-2015) His research focuses on the micro-macro behavior of unsaturated soils, capillary effects in granular materials, and stability evaluation of slopes and dams. He integrates advanced techniques like X-ray CT and DEM modeling to study soil-root interactions, rainfall infiltration, and multiphase fluid dynamics. Recent trends in his publications include unsaturated soil mechanics, capillary force quantification, and computational methods for hydraulic conductivity estimation. His work often bridges experimental and numerical approaches, collaborating with institutions like Ghent University and Université Grenoble Alpes. Scientific Awards: Taishan Scholar of Shandong Province (Young Professional) Qilu Young Scholar of Shandong University Dean’s Scholarship of University of Nottingham (prize holder) He actively recruits students for master, PhD, and postdoctoral positions in geotechnical engineering and related fields. He serves as a reviewer for leading journals and is a member of professional societies such as the International Society of Soil Mechanics and Geotechnical Engineering.

• Energy and chemical industry
• chemical separation
• polymer materials
• +۲ مورد دیگر

Zong-Yuan XIAO is an Associate Professor at the Department of Chemical Engineering and Bioengineering, College of Chemistry and Chemical Engineering, Xiamen University. His academic journey includes a Bachelor of Engineering from Zhejiang University (1991-1995) and a Doctor of Engineering from National University of Singapore (2001-2005). Research interests: Energy and chemical industry Chemical separation processes Polymer materials (phenolic resin) Nano-materials preparation Publication trends: His work focuses on bubble dynamics, theoretical modeling of multiphase flows, and chemical reaction engineering in separation processes. Key methodologies include boundary-integral simulations and non-spherical bubble analysis.

Wang Hualinمشاهده پروفایل

استاد

• Pollutant Emission Reduction
• Resource Utilization
• Environmental Physics
• +۴ مورد دیگر

Professor Wang Hualin (born October 1968) is a Doctoral Supervisor at the School of Resources and Environmental Engineering, East China University of Science and Technology. He holds degrees in Chemical Engineering from Sichuan University (BSc, MSc) and a PhD in Chemical Process Engineering from his current institution. His academic visits include UK's University of Nottingham and UC Berkeley, USA. Affiliation: East China University of Science and Technology Academic Rank: Professor Research Interests focus on pollutant source control, resource utilization, environmental physics principles, and cyclone rotation engineering. His work bridges chemical process engineering with environmental sustainability through innovative separation technologies. 2018: Separation-and-Recovery Technology for Organic Waste Liquid (Environmental Engineering) 2017: High-speed particle rotation for coating oil removal (Fluid Dynamics) 2013: Laboratory studies of mini-hydrocyclone for fine particle removal (Industrial Applications) Scientific Awards include: National Technological Invention Award (2014) National Science and Technology Progress Awards (2009, 2007) Ho Leung Ho Lee Youth Innovation Award (2010) State Council Government Allowance (2011) Teaching Contributions include lecturing on Introduction to Sustainable Development , authoring Carbon Neutrality Technology , and translating Principles of Environmental Physics (4th Edition). He leads national R&D projects like the 2019YFA0705800 grant on petrochemical wastewater treatment.

• Turbulence theory
• Computational fluid dynamics
• Large-eddy simulation
• +۴ مورد دیگر

Shiyi Chen is Chair Professor in the Department of Mechanics and Aerospace Engineering at Southern University of Science and Technology (SUSTech) . From January 2015 to November 2020 he served as the founding President of SUSTech. He is an Academician of the Chinese Academy of Sciences, a Fellow of the American Physical Society (1995), the Institute of Physics (UK, 2004) and The World Academy of Sciences (TWAS, 2018). Education B.Sc. in Mechanics, Zhejiang University (1981) M.Sc. in Mechanics, Peking University (1984) Ph.D. in Mechanics, Peking University (1987) Research Interests Professor Chen is internationally recognized for pioneering work in turbulence theory and computational fluid dynamics . His research spans direct numerical simulation of turbulent flows, large-eddy simulation and sub-grid-scale modeling, lattice Boltzmann methods , multi-scale algorithms , and the industrial applications of turbulence in multi-phase flows, combustion, and granular media. He developed the mapping-closure theory for probability density functions in turbulent reacting flows and provided fundamental explanations for the two-dimensional inverse energy cascade. Awards & Honors Academician, Chinese Academy of Sciences (2013) Fellow, American Physical Society (1995) Fellow, Institute of Physics, UK (2004) Fellow, The World Academy of Sciences (TWAS) (2018) Qiu Shi Outstanding Scientist Award (2017) Shenzhen Education Reform Pioneer Award (2019) Leadership & Service Professor Chen has held numerous leadership roles: President, Southern University of Science and Technology (2015–2020) Vice President for Research and Dean of Graduate School, Peking University (2013–2015) Founding Dean, College of Engineering, Peking University (2005–2013) Chair, Department of Mechanical Engineering, Johns Hopkins University (2002–2004) Director, State Key Laboratory of Turbulence and Complex Systems (2011–present) Alonzo G. Decker Jr. Chair in Engineering and Science, Johns Hopkins University Oppenheimer Fellow & Group Leader, Los Alamos National Laboratory (1987–1997) Research Staff Member, IBM TJ Watson Research Center (1994–1999) Laboratory & Research Teams Since 2011 he has directed the State Key Laboratory of Turbulence and Complex Systems , fostering interdisciplinary research in high-Reynolds-number turbulence, multi-scale modeling, and advanced computational techniques. Under his guidance the laboratory collaborates closely with national aerospace and energy industries.

• Scientific computing
• Numerical Methods for Time-Dependent PDEs
• Finite-Volume Methods
• +۲ مورد دیگر

Dr. Alexander Kurganov is a Chair Professor in the Department of Mathematics at Southern University of Science and Technology (SUSTech), China, since 2019. Previously, he served as Professor at SUSTech (2016–2019) and Tulane University (2010–2015, 2004–2010, 2001–2004). He has held visiting positions at Shanghai Jiao Tong University, University of Bordeaux I, Johannes Gutenberg University, Paul Sabatier University, and University of Michigan. PhD in Applied Mathematics, Tel Aviv University, 1998 MS in Mathematics, Moscow State University, 1989 Research Interests: Dr. Kurganov specializes in scientific computing, numerical methods for time-dependent PDEs, finite-volume methods, geophysical fluid dynamics, and nonlinear PDEs. His work focuses on developing robust numerical schemes for complex fluid dynamics problems, including shallow water systems, chemotaxis models, and compressible flows. Publication Trends: His recent publications emphasize high-resolution numerical schemes for hyperbolic conservation laws, shallow water equations, and interdisciplinary applications in environmental modeling, fluid dynamics, and financial mathematics. 2015–2018 NSF Research Grant (PI) 2012–2015 ONR Research Grant (PI) 2011 German Research Foundation (DFG) Grant 1997 The Rosset Prize (Tel Aviv University) Grants & Collaborations: Dr. Kurganov has secured multiple NSF and ONR grants as principal investigator. His collaborations span institutions in the USA, China, France, Germany, and Sweden, with applications in geophysics, biology, and finance.

• Music
• Classical Music
• Brass Instruments
• +۷ مورد دیگر

Chen Jia is a Lecturer at Tongji University's School of Art and Media. He holds a Master's degree in French horn from Mainz Conservatory of Music and Mannheim State Conservatory of Music, studying under renowned professors such as Xiaoming Han and Hermann Baumann. He has served as principal horn in multiple orchestras and co-founded the Tongji University Music Boat Woodwind Quintet. Education: Master's in French Horn (Mainz Conservatory, Mannheim State Conservatory) Professional Affiliations: Member of Mannheim Blech ensemble, Principal Horn for multiple orchestras His research interests include music education and orchestral performance, though his recent publications focus on computational fluid dynamics, electrohydrodynamics, and microfluidics. Key topics include lattice Boltzmann modeling, viscoelastic fluid dynamics, and electrohydrodynamic flow control. Scientific contributions span interdisciplinary domains, with work on physics-informed neural networks for microfluidic systems and polymer 3D printing challenges. Collaborative projects involve international ensembles and computational simulations.