جست‌وجوی استاد و پژوهشگر

• Backward stochastic differential equations
• Stochastic optimal control
• Financial mathematics

WEN Jiaqiang is an Assistant Professor in the Department of Mathematics at Southern University of Science and Technology (SUSTech), where he has been employed since September 2020. His research focuses on stochastic analysis and its applications in financial mathematics and control theory. Dr. Wen's educational background includes: PhD in Financial Mathematics from Shandong University (2012-2018) Joint-Cultivated PhD in Mathematics from University of Central Florida (2016-2017) BS in Mathematics and Applied Mathematics from Dali University (2008-2012) Dr. Wen's research primarily centers around backward stochastic differential equations , with significant contributions to stochastic optimal control and financial mathematics . His work bridges theoretical mathematics with practical applications in finance and control systems. He has developed novel approaches to solving complex stochastic equations and has explored their implications in financial modeling and decision-making processes. Analysis of Dr. Wen's publications reveals a consistent focus on advancing the theory of backward stochastic differential equations (BSDEs) and their variants. His research trajectory shows progression from fundamental BSDE theory to more complex formulations including Volterra integral equations, fractional Brownian motion, and mean-field frameworks. The applications of his work span financial mathematics, optimal control systems, and stochastic partial differential equations. Dr. Wen has been actively involved in academic advising and research supervision since joining SUSTech as a Postdoctoral Fellow in 2018, continuing through his current position as Assistant Professor. His collaborative work with researchers from various institutions demonstrates his integration into the international mathematics community.

• Complex intermittent process modeling
• Advanced process control
• Iterative learning control
• +۴ مورد دیگر

Jia SHI is an Associate Professor in the Department of Chemical Engineering and Biological Engineering at Xiamen University's School of Chemistry and Chemical Engineering. With a background in Control Science and Engineering, they have contributed to advanced process control techniques for batch processes over their academic career. Education: Bachelor's (Control Science, Xiamen University, 1994), Master's (Operations Research and Cybernetics, Xiamen University, 1997), Doctorate (Control Science and Engineering, Zhejiang University, 2006) Academic Career: Lecturer at Xiamen University's School of Information Science and Technology (1997-2007), Associate Professor since 2008 Their research focuses on complex intermittent process modeling and advanced process control techniques , particularly iterative learning control (ILC) and model predictive control (MPC). These methods address challenges in batch process systems through robust, adaptive, and intelligent control strategies. Selected recent publications demonstrate expertise in 2D modeling approaches for control systems, fault-tolerant control, and integrated feedback mechanisms. Key trends include application of mathematical optimization techniques to industrial chemical processes and development of robust algorithms for process reliability. As an active researcher, they have collaborated with institutions like Hong Kong University of Science and Technology (Research Assistant, 2003-2006) and maintain a strong publication record in top-tier journals such as AIChE Journal and Industrial & Engineering Chemistry Research.

• low-carbon alkane selective oxidation
• petroleum processing
• Catalysis
• +۳ مورد دیگر

Xiao-Dong Yi is a Lecturer in the Department of Chemistry at Xiamen University, affiliated with the College of Chemistry and Chemical Engineering. His academic work focuses on catalysis and chemical engineering, particularly in energy-related processes. Education: PhD from Xiamen University School of Chemistry and Chemical Engineering (April 2004). Research Interests: Xiao-Dong Yi specializes in low-carbon alkane selective oxidation and petroleum processing response research. His work addresses catalytic CO 2 conversion, photocatalytic hydrogen evolution, and advanced catalyst design for sustainable energy and environmental applications. Publication Trends: His recent publications (2018–2020) emphasize visible light photocatalysis, CO 2 reduction, and hierarchical material synthesis. Topics include doping strategies for graphitic carbon nitride, core–shell catalyst architectures, and defect-driven nanostructuring. Collaborations: He collaborates extensively with researchers like Zhou Chen, Tingting Fan, and Weiping Fang, contributing to journals such as Appl. Catal. B: Environ. , Carbon , and Nanoscale .

• Functional Microspheres
• Water Treatment
• Drug Controlled Release
• +۳ مورد دیگر

Ai-Mei Zhu is an Associate Professor at Xiamen University's College of Chemistry and Chemical Engineering. She holds a Ph.D. in Chemical Engineering from Tianjin University (2006), preceded by a Master's (2002) and Bachelor's (1999) in related fields. Her academic career at Xiamen spans from Assistant Professor (2006–2013) to Associate Professor (since 2013), with a postdoctoral fellowship at the University of Sydney (2010–2011) enriching her expertise in polymer chemistry and materials science. Bachelor : Daqing Petroleum Institute, 1999 Master : Hunan University, 2002 Ph.D. : Tianjin University, 2006 Her research focuses on functional microspheres for water treatment and drug delivery , alongside catalysts for fuel cell and alcohol oxidation applications. She employs techniques like microemulsion synthesis and mesoscale simulation to optimize material performance in environmental and biomedical contexts. Recent publications highlight advancements in hollow nanostructures, core-shell composites, and desalination process modeling. Zhu's work bridges experimental and computational approaches, addressing challenges in energy, environment, and health. She is contactable at amzhu@xmu.edu.cn or via telephone at 0592-2188072.

Zhang Jinlongمشاهده پروفایل

استاد

• Photocatalysis
• Mesoporous Materials
• Environmental Science
• +۵ مورد دیگر

Professor Zhang Jinlong is a leading researcher at the East China University of Science and Technology, where he serves as Director of the Shanghai Multi-Media Environmental Catalysis and Resource Engineering Technology Research Center since 2022. He was promoted to Professor in 2000 and appointed a Doctoral Supervisor in 2001, with administrative roles including Vice Dean of the School of Chemistry and Molecular Engineering (2006-2016) and Dean at Guizhou Normal University (2008-2011). His work focuses on photocatalytic materials for environmental remediation and energy conversion. Research Highlights Photocatalytic CO2 reduction and methane conversion Mesoporous and hierarchical material design Visible light-driven hydrogen production Environmental pollution control via advanced oxidation Article Trends Development of single-atom and bimetallic catalysts Engineering of frustrated Lewis pairs and heterojunctions Integration of SERS for reaction monitoring Over 600 publications in top-tier journals like Nature Communications and ACS Nano Scientific Recognition Foreign Member of the European Academy of Sciences (2019) Clarivate Highly Cited Scientist (2018-2023) Elsevier Most Cited Chinese Researcher (2014-2023) Multiple national awards including Shanghai Natural Science Award (2017) Leadership & Editorial Roles Chair of China Democratic League at ECUST Editor-in-Chief for journals including Scientific Reports and Applied Catalysis B: Environmental Over 60 Chinese invention patents (38 granted)

Xiao ZHANGمشاهده پروفایل

مربی

• Robotics
• Teleoperation
• Machine Learning
• +۳ مورد دیگر

Xiao ZHANG is a Faculty Tutor at the School of Civil Engineering, Shandong University, specializing in advanced robotics, teleoperation systems, and machine learning applications in manufacturing. Their work bridges human-robot interaction, surgical robotics, and materials engineering. Research focuses on improving precision in telemanipulation, optimizing additive manufacturing processes, and developing context-aware robotic systems for healthcare and industrial automation. Key research interests include gaze-based control mechanisms, intent recognition in human-robot collaboration, and AI-driven quality assessment in manufacturing. Xiao ZHANG has extensively explored applications of neural networks and multi-agent systems to enhance robotic dexterity and safety, particularly in scenarios requiring real-time adaptation like laparoscopic surgery and autonomous vehicles. Recent Trends: Recent publications emphasize integrating machine learning with traditional manufacturing processes (e.g., laser additive manufacturing) and advancing human-centric robotics through shared control frameworks. Awards: No specific awards listed, but contributions span over two decades of peer-reviewed work. Grants/Advising: No explicit grants or student advisees mentioned in the provided text. Labs/Teams: Affiliated with robotics and manufacturing research groups at Shandong University, focusing on experimental and computational methods.

Qingsong Zhangمشاهده پروفایل

استاد

• Grouting Technology
• Underground Engineering Disasters
• Rock and Soil Reinforcement
• +۱ مورد دیگر

Qingsong Zhang is a Professor and the Dean of the School of Civil Engineering at Shandong University, where he leads research at the Geotechnical and Structural Engineering Center. He serves as a PhD Tutor, guiding doctoral candidates in geotechnical engineering disciplines. Research Focus: His work centers on grouting technology and disaster mitigation in underground engineering, with emphasis on: Mechanisms of water inrush disasters and treatment theories Grouting diffusion/reinforcement in rock/soil systems Simulation methods for grouting processes Development of novel grouting materials and equipment Publications: His 12 most recent articles (2010–2017) focus on experimental and theoretical advancements in grouting mechanics, tunnel engineering, and rock fracture analysis. Predominant themes include viscosity dynamics, fault zone reinforcement, and inrush disaster prevention, demonstrating consistent innovation in geotechnical solutions. Patents & Innovations: Zhang holds 10 patents for grouting technologies, including devices for constant-pressure injection, fracture zone treatment, and temperature-based geological forecasting. These inventions address practical challenges in underground construction and disaster control.

张帏مشاهده پروفایل

استاد

• Entrepreneurship Management
• Venture Capital
• Emerging Industry Development
• +۳ مورد دیگر

张帏 is a Tenured Professor in the Department of Innovation, Entrepreneurship and Strategy at Tsinghua University’s School of Economics and Management (SEM) , where he also serves as Deputy Head of Department . In addition, he is Deputy Director of the China Entrepreneurship Research Center , founding director of Tsinghua x-lab , and holds multiple research affiliations across Tsinghua’s governance, private equity and economic research centers. Education: 1995 – B.Eng., Tsinghua University 1998 – M.Eng., Tsinghua University 2002 – Ph.D. in Management, Tsinghua University 2004 – Visiting Scholar, Stanford Graduate School of Business 2011-2012 – Fulbright Scholar & International Visiting Faculty, MIT Sloan School of Management Research Focus: Professor Zhang’s work lies at the intersection of entrepreneurship management, venture capital and emerging industry development . His recent projects examine how digital technologies reshape business-model design for grand societal challenges, how legitimacy is built for new products in established markets, and the governance of entrepreneurial teams and venture-capital syndicates in China’s institutional context. His scholarship has consistently explored institutional entrepreneurship, venture-financing ecosystems, and innovation policy , producing highly-cited studies on the emergence of China’s solar-PV industry and the evolution of its venture-capital system. Scientific Awards & Honors: 2024 – Tsinghua University Advanced Worker 2024 – SEM Teaching Excellence Award (First Prize) 2023 – Academy of Management Best Paper Award 2020 – Tsinghua Excellent Textbook Award (First Prize) for Entrepreneurship Management 2017 – National Higher Education ‘Wonderful Lesson’ First Prize 2016 – AIE Best Paper Award 2015 – China Newsweek ‘Dual-Creation Figure of the Year’ Advising & Grants: Professor Zhang has supervised numerous Ph.D. and master’s students whose theses have received university-wide distinctions. He leads or participates in national-level research grants on entrepreneurship education reform and innovation-driven development strategies. Under his guidance, Tsinghua student teams have won international business-plan competitions (Intel-Berkeley, USF, Bangkok) and launched ventures now tracked as benchmark cases. Laboratory & Teams: As the founding director of Tsinghua x-lab —the university’s first university-wide platform for creativity, innovation and entrepreneurship—he oversees an ecosystem that connects students, alumni, faculty and industry mentors. He also heads the Faculty Representative Group of SEM’s 9th Faculty Representative Conference, shaping governance and strategic initiatives at the school level.

• Water Pollution Control Technologies
• Nitrogen-Phosphorus Geochemistry
• Functional Materials for Environmental Remediation
• +۳ مورد دیگر

Kong Lingchao , a Research Assistant Professor at Southern University of Science and Technology (SUSTech) , is a Shenzhen Overseas High-Level Talent (Category C) with expertise in water pollution control technologies and nitrogen-phosphorus geochemistry. His work combines Theoretical research on element cycling Applied innovation in environmental remediation Development of functional materials Single-cell Raman-isotope methodologies Research highlights include leading 7 funded projects such as: NSFC project on phosphate-solubilizing bacteria Shenzhen Innovation Talent Project Key Technology R&D Program of Shenzhen State Key Laboratory Open Project and 2 patents on phosphorus removal materials. His recent publications focus on: Nanofiber-based composite materials Layered double hydroxides (LDH) systems Photocatalytic membranes MXene applications in Fenton systems with over 30 SCI publications (H-index 21) . Scientific service includes: Young Editorial Board Member of Sustainable Horizons Peer reviewer for Chemical Engineering Journal Environmental Science & Ecotechnology Applied Clay Science

• 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.

• Condensed Matter Physics
• Quantum Information Processing
• Semiconductor Quantum Dots
• +۴ مورد دیگر

Cai Xinxin is an Assistant Professor at the Southern University of Science and Technology (SUSTech), affiliated with the Faculty of Science and Department of Physics . She holds a Ph.D. in Physics from The Pennsylvania State University (2016) and has held postdoctoral positions at the University of Rochester (2020-2024) and University of Minnesota (2017-2020). Education : Ph.D. in Physics (Penn State University, 2009-2016), B.S. in Applied Physics (University of Science and Technology of China, 2004-2008) Dr. Cai's research focuses on experimental condensed matter physics and quantum information processing , utilizing nanofabrication techniques to investigate quantum effects in micro- and nanoscale devices. Her recent work emphasizes coherent control of silicon-based spin qubits and spin quantum device dynamics . Publications highlight advancements in semiconductor quantum dots , spin qubit manipulation , and quantum coherence . Her lab actively recruits Ph.D. students, master’s students, and postdoctoral researchers to advance these projects.

• Experimental Fluid Dynamics
• Microscale Fluid Mechanics
• Electrohydrodynamics
• +۵ مورد دیگر

Deng Weiwei is a Professor and Department Head of the Department of Mechanics and Aerospace Engineering at Southern University of Science and Technology (SUSTech) in Shenzhen, China. Previously, he served as an Associate Professor with tenure at Virginia Tech (2015-2017) and as an Assistant Professor at the University of Central Florida (2010-2015). He completed his postdoctoral training at Yale University (2008-2010) after earning his Ph.D. in Mechanical Engineering from Yale in 2008. His educational background includes: Bachelor of Engineering Mechanics from Tsinghua University (1995-1999) Master of Engineering Mechanics from Tsinghua University (1999-2001) Ph.D. in Mechanical Engineering from Yale University (2003-2008) Deng's research focuses on experimental fluid dynamics of micro- and nanoscale systems , particularly examining droplets, jets, and thin films. His work bridges fundamental fluid mechanics with practical applications in printing technologies, solar cell fabrication, and advanced manufacturing. He has made significant contributions to understanding electrohydrodynamic phenomena, droplet impact dynamics, and the controlled generation of microstructures through electrospray techniques. His laboratory has discovered novel fluid dynamics phenomena, including the resonance between light pressure perturbations and droplet instability, leading to uniform droplet splitting. The team also pioneered "electrofluidic disk atomization," using high-frequency AC electric fields to control jet instabilities. These discoveries have enabled more precise control over droplet generation processes, with applications in microfabrication and printing. Deng's scholarly output shows a clear progression from fundamental electrohydrodynamics to applied manufacturing technologies. His early work focused on basic electrospray mechanisms and droplet generation, while more recent publications emphasize applications in solar cell fabrication, flexible electronics, and advanced printing techniques. The consistent thread throughout is the manipulation of microscale fluid phenomena for technological advancement. His notable recognition includes: NSF CAREER Award (2015) Deng leads an active research group that has secured multiple major grants, including a National Natural Science Foundation of China special project (2020), a key project (2019), and a general project (2018). Prior to returning to China, he led three National Science Foundation projects in the United States. His student entrepreneurial team won first prize in the Southeast region of the Clean Energy Entrepreneurship Competition sponsored by the U.S. Department of Energy, receiving $100,000 in startup funding and an invitation to visit the White House. The DENGLab at SUSTech focuses on experimental fluid mechanics research with emphasis on microscale phenomena. The lab regularly hosts photography competitions to document fluid phenomena visually, demonstrating Deng's commitment to both scientific rigor and creative presentation of research findings.

GUO Xugangمشاهده پروفایل

استاد

• Organic Semiconductors
• Polymer Electronics
• Optoelectronic Devices
• +۳ مورد دیگر

Professor GUO Xugang is a distinguished faculty member at Southern University of Science and Technology (SUSTech), holding the rank of Professor in the Department of Materials Science and Engineering within the College of Engineering. He joined SUSTech in 2012 as an Associate Professor and was promoted to Full Professor in 2018. His educational background includes a PhD from the University of Kentucky (2009), and Master's/Bachelor's degrees from Lanzhou University. His research specializes in advanced organic and polymer semiconductors, with applications spanning optoelectronic devices, solar cells, and thermoelectric systems. Key focus areas include n-type polymer design, perovskite photovoltaics, and organic electrochemical transistors. His work has significantly advanced materials for energy conversion and sustainable electronics. Recent publications demonstrate strong emphasis on perovskite solar cell optimization, novel n-type polymers, and interfacial engineering. Over 80% of his 2023-2025 papers target efficiency/stability improvements in photovoltaics, while others explore thermoelectrics and transistor technologies. This reflects a consistent focus on renewable energy materials and device physics. Awards & Honors: Shenzhen Peacock Plan Class B Talent (2013) Guangdong Pearl River Scholar Distinguished Professor (2018) Clarivate Highly Cited Researcher (2023, 2024) National Talent Program (2022) He leads a research group focused on semiconductor synthesis and device fabrication, securing three National Natural Science Foundation grants. The team actively recruits postdoctoral researchers and students specializing in organic chemistry and device physics.

• Soft Materials Engineering
• Bioinspired Design and Fabrication
• Soft Materials Mechanics
• +۶ مورد دیگر

Liu Ji is an Associate Professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech) in Shenzhen, China, holding this position since January 2020 after serving as an Assistant Professor from September 2019 to December 2020. Dr. Liu received dual PhD degrees in 2013 - one in Physiochemistry of Condensed Materials from the University of Bordeaux, France, and another in Chemistry from the University of Liege, Belgium. His postdoctoral training included positions at the University of Cambridge (2014-2018) as a Marie-Curie Research Fellow and at MIT (2018-2019), with an additional visiting fellowship at Harvard Medical School. Dr. Liu's research program focuses on soft materials engineering, bioinspired design and fabrication, soft materials mechanics, 3D printing, biomaterials, and soft electronics. His work particularly emphasizes developing functional soft materials with extreme mechanical properties and their applications in biointerfaces, dynamic adhesion, and human-machine interfaces. His research group explores how to design, fabricate, and engineer soft materials that can mimic biological systems for biomedical applications and advanced manufacturing. Dr. Liu has published over 40 papers in high-impact journals including Science Advances, Nature Communications, PNAS, Accounts of Chemical Research, and Advanced Materials. His publications demonstrate consistent innovation in soft materials, particularly in fatigue-resistant hydrogels, supramolecular polymer networks, and biointerface engineering. Two of his papers have been selected as ESI Highly Cited Papers, indicating significant field impact. IAAM Scientist Medal (2022) Fellow of the Institute of Materials, Mining & Minerals (2021) MIT Technology Review Innovators Under 35 in China (2020) Guangdong Pearl River Talents Program (2020) Overseas High-Caliber Personnel in ShenZhen (2020) Japan Polymer Group Young Investigator Award (2017) Marie-Curie Research Fellow (2015) Dr. Liu leads a vibrant research group at SUSTech, mentoring students and establishing international collaborations. His work has received widespread attention, featured in Materials Views China, MIT News, Phys.org, and Materials Today, with his research highlighted on MIT's homepage. His Soft Matter Design and Manufacturing Platform develops novel intelligent soft material technologies through interdisciplinary approaches combining mechanics, materials, physics, and engineering.

• RF/mm-Wave/THz Wireless Transceivers
• High-Speed SerDes
• PLLs/Frequency Synthesizers
• +۴ مورد دیگر

Xiaolong Liu serves as Assistant Professor at Southern University of Science and Technology's School of Microelectronics. His academic journey includes a Ph.D. from Hong Kong University of Science and Technology (2019), M.E. from Tsinghua University (2014), and B.E. from Beijing University of Aeronautics and Astronautics (2010). Prior to his current position, he worked as Staff Engineer at eTopus Technology in Silicon Valley (2019-2021) and completed a postdoc at HKUST. Ph.D. in Electronic and Computer Engineering, Hong Kong University of Science and Technology (2019) M.E. in Microelectronics, Tsinghua University (2014) B.E. in Electronic Engineering, Beijing University of Aeronautics and Astronautics (2010) Dr. Liu's research spans cutting-edge RF/mm-Wave/THz integrated circuit design, focusing on high-performance signal generators , ultra-wideband transceivers , and low-power frequency synthesis . His work addresses critical challenges in 5G/6G communications, terahertz spectroscopy, and high-speed wireline interfaces through innovative CMOS architectures. Technical emphases include varactor-less VCOs, harmonic enhancement techniques, and magnetic tuning mechanisms for millimeter-wave systems. His publication portfolio demonstrates consistent leadership in IEEE flagship journals/conferences (JSSC, TMTT, ISSCC, VLSI), with recent work advancing Class-F oscillators, sub-sampling PLLs, and sub-THz synthesizers. Notable trends include migration toward sub-THz frequencies (2023-2025) , multi-core oscillator architectures , and elimination of harmonic tuning for simplified design. IEEE VLSI Paper Technical Highlights (2019) IEEE CICC Invited Talk (2019) IEEE TVLSI 2023 Best Reviewer Award Top 4 Most Downloaded Paper in TCAS-II (July 2022) Dr. Liu actively mentors students through SUSTech's graduate programs, with advisees consistently earning university-level thesis awards and conference recognitions. His lab maintains strong industry ties through silicon validation and collaborates on cutting-edge tapeouts in 7nm/16nm nodes. Current projects focus on cryo-CMOS interfaces for quantum computing and ultra-wideband transceivers for 6G applications. His research group operates within SUSTech's state-of-the-art microelectronics facility, specializing in mm-Wave/THz characterization and high-speed SerDes validation. The team maintains partnerships with semiconductor foundries for advanced-node prototyping and collaborates with industry leaders on real-world implementation challenges.