Find Academic Supervisors

Xuyang WuView profile

Associate Professor

• Distributed Optimization
• Large-scale Optimization
• Machine Learning
• +3 more

Xuyang Wu serves as Associate Professor at the School of Automation and Intelligent Manufacturing (AiM), Southern University of Science and Technology (SUSTech) in Shenzhen, China. He was promoted from Assistant Professor in June 2025 after joining SUSTech in February 2024, following postdoctoral research at KTH Royal Institute of Technology (2020-2023) and a visiting position at The Chinese University of Hong Kong (2023-2024). His educational background includes: Ph.D. in Communication and Information Systems, University of Chinese Academy of Sciences (2015-2020) B.S. in Applied Mathematics, Northwestern Polytechnical University (2011-2015) Wu's research centers on distributed and large-scale optimization with applications in machine learning and networked systems. His work develops asynchronous algorithms that handle communication delays and coupling constraints, bridging control theory with modern machine learning. Key contributions include barrier function methods for safe resource allocation and delay-agnostic coordinate updates, emphasizing convergence guarantees in decentralized settings. Analysis of his 15 most recent publications (2021-2025) reveals consistent focus on asynchronous distributed optimization across top venues including IEEE Transactions on Automatic Control and ICML. His work demonstrates increasing sophistication in handling non-convex objectives and time-varying networks while maintaining theoretical convergence guarantees, with recent expansion into high-performance decentralized training frameworks. Scientific recognition includes: Best Student Paper Finalist at IEEE International Conference on Control & Automation (2019) While specific advised students and grant details aren't documented in available sources, Wu's publication record indicates active collaboration with researchers at KTH Royal Institute of Technology and The Chinese University of Hong Kong. His work shows clear progression from theoretical foundations toward practical distributed learning applications. Current research focuses on enabling violation-free optimization under constraints and developing communication-efficient decentralized training frameworks for real-world deployment scenarios.

• Retail Operations
• Operations Management
• Supply Chain Management
• +3 more

HU Honggang is an Assistant Professor at the Advanced Institute of Business (AIB), Tongji University, since October 2022. He holds a Ph.D. in Operations Management from the University of Florida and has academic backgrounds in Computer Science (M.S.) and Mathematics (B.A.). Education : Ph.D. in Operations Management, Warrington College of Business, University of Florida, 2022 M.S. in Computer Science (Computational Operations Research), College of William and Mary, 2017 B.A. in Mathematics and Applied Mathematics, Shanghai University, 2015 His research focuses on interdisciplinary topics bridging Retail Operations, Operations Management-Marketing/Information Systems (OM-Marketing/IS Interface), Supply Chain Management, Behavioral Economics, and Sustainability & Social Responsibility. His work examines pricing strategies, product substitutability, distribution models, and robust optimization methods. The articles in his profile highlight trends in Supply Chain Management, particularly Retail Pass-Through dynamics, Distribution Channels, and Robust Optimization. These studies integrate analytical frameworks with real-world retail and supply chain challenges. Scientific Awards & Grants : Shanghai Lingjun Talent (Overseas) – Youth Program, 2023 NSFC Youth Program Grant #72401218 (Supply Chains in Modern Retailing), PI, 2025–2027 Supply Chain Management (SCM) Center Research Grant, University of Florida, 2022 COR Graduate TA Teaching Award, College of William and Mary, 2017 HU Honggang has taught courses such as Principles of Management – Management in China at Tongji University, Managerial Operations Analysis II at the University of Florida, and Brief Calculus with Applications at the College of William and Mary. He has served as a Conference Session Chair and Journal Reviewer for leading operations and management science conferences and journals.

Hai LinView profile

Professor

• Computer Graphics
• Scientific Visualization
• Volume Rendering
• +2 more

Hai Lin is a Professor at the State Key Lab of CAD&CG (Zhejiang University, China). His research spans computer graphics, scientific visualization, volume rendering, virtual reality, and graphical electromagnetic computing. He earned B.Eng and M.Eng degrees from Xidian University (1987, 1990) and a Ph.D. in Computer Science from Zhejiang University. Current Position: Professor, Zhejiang University (1990–Present) Research Fellow, Medical Visualization, De Montfort University (2000–2003) Visiting Professor, University of Bedfordshire Research Focus includes: Medical Imaging: AI-driven tumor segmentation (colorectal, liver), retinal disease classification (SatFormer), and mandible segmentation via LRVRG. Electromagnetic Computing: Shape deformation optimization, GPU-based wave propagation prediction, and scattering analysis. Scientific Visualization: Graph convolutional networks for volume data, voxel2vec representations, and dynamic network exploration. Collaborations involve PhD students (Huan Liu, Yiming Li, YanKai Jiang, Han Wang) and teams at Zhejiang University. His work integrates AI with electromagnetic and medical imaging domains, emphasizing GPU acceleration and novel algorithm design.

Lianxiang LIView profile

Professor

• Structural Engineering
• Geotechnical Engineering

Lianxiang LI is a Professor in the Department of Civil Engineering at Shandong University's School of Civil Engineering. His research focuses on structural engineering and geotechnical engineering, particularly in foundation pit support systems and composite foundation mechanics. University: Shandong University Department: Civil Engineering Email: lilianxiang@sdu.edu.cn His recent work involves centrifuge modeling for excavation mechanics, support structure optimization in composite foundations, and finite element analysis using PLAIXIS3D software. He has contributed to understanding soil pressure dynamics and innovative recyclable soil nail applications.

Bo ZHANGView profile

Professor

• Engineering Mechanics
• Civil Engineering
• Rock Mechanics
• +3 more

Bo ZHANG is a Professor and Doctoral Supervisor at the Department of Engineering Mechanics, School of Civil Engineering, Shandong University. He holds a PhD in Engineering Mechanics and is a National Registered Structural Engineer. Education: MSc in Solid Mechanics (2006), PhD in Engineering Mechanics (2009), both from Shandong University Research Interests: Engineering Mechanics, Rock Mechanics, Hydraulic Fracturing, Underground Disaster Prevention, Structural Reinforcement, Vibration Control of Large Structures Awards: First prize of Shandong Technical Invention Award (2015, fourth author) Grants: 2 National Natural Science Foundation projects (2019, 2014), 1 Provincial project (2012), 1 Ministry of Education project (2012) His publications focus on hydraulic fracturing mechanisms, rock bolt reinforcement, cross-flaw material behavior, and structural vibration control. Over 40 papers in journals like International Journal of Geomechanics and Rock and Soil Mechanics , with 30+ SCI/EI-indexed. He led enterprise-funded projects valued at 30.08 million Yuan for limestone mine water control in Hejing.

• Clean Conversion of Fuel
• Carbon Materials
• Fluidization
• +5 more

Li Junguo is a Research Professor at the School of Innovation and Entrepreneurship, Southern University of Science and Technology (SUSTech), where he also serves as Assistant Dean of the Clean Energy Institute. He joined SUSTech in 2019 and was promoted to Research Professor in January 2024. Prior to this, he worked as an Assistant Professor at the Institute of Coal Chemistry, Chinese Academy of Sciences (CAS) from 2014 to 2019. His academic journey began with a Bachelor's degree in Mineral Processing Engineering from China University of Mining and Technology in 2008, followed by a Ph.D. in Chemical Engineering and Technology from the University of Chinese Academy of Sciences, completed in January 2014. His educational background includes: 2004-2008: B.S. in Mineral Processing Engineering, China University of Mining and Technology 2009-2014: Ph.D. in Chemical Engineering and Technology, University of Chinese Academy of Sciences Professor Li's research focuses on the clean conversion of carbon-containing fuels , carbon materials development , fluidization engineering , and scale-up fundamentals . His work spans both fundamental and applied research, with particular emphasis on sustainable energy solutions that address carbon neutrality goals. He investigates pyrolysis and gasification characteristics of various fuels, develops high-performance carbon materials for diverse applications, and studies soil improvement techniques. His research on fluidized bed reactors explores flow characteristics and scale-up mechanisms critical for industrial applications. His publication record demonstrates a strong focus on sustainable energy solutions and carbon management. Recent work emphasizes green methanol production as a pathway to carbon neutrality, advanced biomass conversion technologies, and innovative approaches to coal water slurry processing. His research integrates chemical engineering principles with environmental sustainability goals, particularly addressing China's carbon reduction targets. The interdisciplinary nature of his work bridges energy engineering, materials science, and environmental remediation. Professor Li has received numerous honors and awards for his contributions to science and engineering: Second Prize for Innovation of the China Invention Association Entrepreneurship Award (2024) Academic Editor of the Journal of Fuel Chemistry and Technology (2021, 2023) Shenzhen High-level Professional Talent (Category D, 2019) Member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences (2019) "Shanxi Talent" Young Outstanding Talent (2019) Second Prize of Science and Technology Progress Award of Chinese Society of Particulate Science (2018) As a research leader, Professor Li has secured significant funding for his work, including projects under the National Key R&D Program, National Natural Science Foundation of China, and various industry collaborations. His current research portfolio includes high-value utilization of domestic sludge, key technologies for low-rank coal processing, and large-scale treatment of low-calorific-value municipal solid waste. He also serves as the project leader for the Shenzhen Low-Quality Coal Comprehensive Utilization Engineering Research Center. In addition to his research activities, he teaches graduate courses in Industrial Product Dissection and Transformation Practice and Engineering Ethics. Professor Li leads the Clean Energy Institute at SUSTech, where his team focuses on developing technologies for carbon-neutral energy systems. His laboratory work emphasizes practical applications of fundamental research, particularly in the areas of biomass conversion, coal utilization, and carbon material synthesis. The institute collaborates with both domestic and international partners to advance sustainable energy solutions.

• Microwave Engineering
• Millimeter-Wave Technology
• RF Integrated Circuits
• +5 more

Dr. Xiaohu Fang is an Assistant Professor at the School of Microelectronics , Southern University of Science and Technology. His research focuses on microwave and millimeter-wave RF front-end circuits, high-efficiency transmitters, and power amplifier linearization techniques for 4G/5G systems. Education: PhD in Electrical Engineering (2015), Chinese University of Hong Kong; MPhil (2011) and BEng (2008) in Electronic Science and Technology, Huazhong University of Science and Technology. Dr. Fang's research addresses critical challenges in RF integrated circuits , including: Design of GaN-based monolithic microwave integrated circuits (MMICs) for 5G/6G communication systems Development of high-efficiency, wideband power amplifiers with advanced linearization techniques Exploration of beamforming architectures and harmonic-isolation resonators His recent publications (2023-2024) highlight trends in Doherty amplifiers , Class-F/G designs , and millimeter-wave front-end solutions using GaN and SOI-CMOS processes. He serves as an IEEE Senior Member and reviewer for top-tier journals like IEEE TMTT and TCAS . Dr. Fang's work also includes a 2025 teaching award, demonstrating his dual impact in research and education. Scientific Awards: Pengcheng Peacock Program Category C Talent Postgraduate Scholarship of Hong Kong (2011-2014) Second Prize in the 9th Youth Teacher Teaching Competition and Provincial Teaching Innovation Competition (2025)

• Multi-agent systems
• Distributed artificial intelligence
• Autonomous unmanned systems
• +3 more

Zhiyun Lin is Dean and Tenured Professor at the School of Automation and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech). He holds affiliations as Foreign Academician of the Russian Academy of Engineering, Fellow of IEEE, IET, and AAIA. Previously, he served at Zhejiang University (2007-2017) and Hangzhou Dianzi University (2017-2021), with visiting positions at Yale University, ANU, and University of Tokyo. Education: PhD in Electrical and Computer Engineering, University of Toronto (2005) MSc in Control Theory, Zhejiang University (2001) BSc in Industrial Automation, Yanshan University (1998) Research Focus: Develops theoretical frameworks for multi-agent coordination, distributed AI algorithms, and cyber-physical systems. His work enables robust autonomous swarm behaviors in robotics and sensor networks through novel control strategies and optimization techniques. Publications: 230+ papers predominantly in IEEE Transactions journals demonstrate sustained contributions to formation control, distributed localization, and networked systems. Recent works (2021) advance resilient beamforming and finite-time stabilization for robotic formations. Awards: Natural Science Second Prize, Zhejiang Province (2020, 2013) Science and Technology Innovation First Prize (2020) Industry-University-Research Cooperation Innovation Award (2021) Prestigious fellowships: IEEE/IET/AAIA Leadership: Directs SUSTech's School of Automation and Intelligent Manufacturing. Formerly established the Artificial Intelligence Institute at Hangzhou Dianzi University and led research centers at Zhejiang University. Serves as Associate Editor for IEEE Systems Journal and IEEE Control Systems Letters.

• Social Networks
• Platform Economy
• Online Word-of-Mouth Marketing
• +5 more

Tao Lu serves as an Assistant Professor and Doctoral Supervisor at the Business School of Southern University of Science and Technology (SUSTech) since September 2020. His academic appointments focus on bridging information systems, finance, and artificial intelligence research within a business context. Education: Ph.D. in Information Systems, The Chinese University of Hong Kong (2020) M.Phil. in Information Systems, Hong Kong University of Science and Technology (2017) B.S. in Physics/Economics, Tsinghua University (2015) Dr. Lu's research spans three interconnected domains: (1) Social network dynamics and online word-of-mouth marketing using analytic modeling and experimental design; (2) Quantitative finance focusing on distributional uncertainty in asset pricing and neural network applications; (3) Algorithmic bias mitigation in machine learning systems. His work combines rigorous theoretical modeling with empirical validation, often translating to practical applications in quantitative finance. Scientific Recognition: Innovation Research Award of China Information Economics Society (2022) Dr. Lu actively supervises research through his team's recruitment of research assistants and postdoctoral fellows, with projects applying to real-world trading systems in quantitative hedge funds. His research group focuses on developing computational models for financial markets and social platforms, emphasizing both theoretical contributions and practical implementation.

HONG LinView profile

Lecturer

• Land Planning and Management
• Regional Economics

HONG Lin is a Lecturer in the Department of Construction Management and Real Estate at the School of Economics and Management, Tongji University. Education: Ph.D. (2008), Master (1993), and Bachelor (1990) from Tongji University and East China Normal University Research Interests: Focus on land use planning, regional economics, and urban development. Key areas include income distribution in land development, sustainable urban planning, and historical cultural landscape conservation. Teaching Interests: Includes thesis guidance, construction laws and regulations, and real estate appraisal. Professional Services: Member of the Shanghai Real Estate Economic Association and Shanghai Land Institute.

胡佳View profile

Professor

• Team Leadership
• Organizational Behavior
• Remote Work Effects
• +5 more

胡佳 is a Full Professor at Tsinghua University's School of Economics and Management and Schwarzman College, holding the Citigroup International Business Chair Professorship since May 2024. Previously, she served as a Tenured Full Professor at Ohio State University's Fisher College of Business (2022-2024) and achieved early tenure at the University of Notre Dame's Mendoza College of Business. Her academic journey includes a Ph.D. in Organizational Behavior and Human Resource Management from the University of Illinois at Chicago (2012), an MA in Human Resource Management from Renmin University (2007), and a BA in Business Administration from Central University of Finance and Economics (2005). Her research focuses on prosocial team leadership, remote work dynamics, gender diversity in leadership, and data science applications in organizational effectiveness . She investigates critical questions about leadership behaviors that enhance team health, factors motivating prosocial management behaviors, technological impacts on leadership efficacy, and work-family implications of remote work. Her work bridges theoretical rigor with practical applications through collaborations with organizations including McKinsey, BMS, IBM, Bank of America, Lenovo, and Vanke. Her publication portfolio includes over 30 articles in top journals like Academy of Management Journal and Journal of Applied Psychology , with more than 10,000 Google Scholar citations (i10-index=29). Her research has been featured in Forbes , Fortune , and TIME . Current publication trends emphasize digital work environments, gratitude interventions in leadership, and gender-inclusive leadership development , reflecting growing scholarly interest in post-pandemic work structures and ethical leadership. Elsevier Highly Cited Chinese Researchers (2024) Stanford University Top 2% Scientists (2024) AOM Leadership Division Mid-Career Standout Scholar Award (2023) SIOP Fellow (2023) Poets & Quants 40 Under 40 Professors (2021) Personnel Psychology Best Reviewer (2019) As a dedicated mentor, she has supervised doctoral students who now hold faculty positions at top US research universities. She currently serves as Associate Editor for Journal of Applied Psychology and Editor-in-Chief for Management and Organization Review , while sitting on editorial boards of premier journals including Academy of Management Journal and Personnel Psychology . Her industry collaborations span multiple sectors through evidence-based research partnerships. She leads executive education initiatives as former Academic Director of Leadership Center programs at Ohio State University and teaches leadership courses across Tsinghua's Global MBA, Schwarzman Scholars, EMBA, and doctoral programs. Her upcoming book 心性：女性管理者的8项自我修炼 (2025) integrates management and psychological research for practitioner audiences.

• Infrastructure
• Big Data Analytics
• Sustainable Infrastructure Networks
• +3 more

CAO Dongping is an Associate Professor in the Department of Construction Management and Real Estate at School of Economics and Management, Tongji University . He holds a Ph.D. in Construction Engineering and Management from The Hong Kong Polytechnic University (2013-2016) and Tongji University (2009-2015), with a visiting research experience at the University of Manchester (2010-2011). M.Sc. in Management Science and Engineering, Tongji University (2006-2009) B.Sc. in Construction Engineering and Management, Chongqing University (2002-2006) His research focuses on Infrastructure Big Data Analytics and Sustainable Infrastructure Networks , with a strong emphasis on Building Information Modeling (BIM) adoption, project governance, and network dynamics. His recent work explores contagion mechanisms in BIM implementation, urban infrastructure development, and AI integration in construction. CAO Dongping's selected publications (2023-2025) span topics from BIM policy diffusion and high-speed rail network dynamics to AI in construction and labor migration. His articles highlight interdisciplinary approaches combining network analysis, behavioral modeling, and optimization techniques. 2024 Outstanding Advisor Award, China Engineering Management Case Competition for Graduate Students 2022-2025 multiple awards for teaching excellence and scientific progress 2018-2020 grants from National Natural Science Foundation of China, Shanghai Municipal Transportation Commission, and Tongji University He has served as Principal Investigator for projects on BIM adoption, digital construction technologies, and urban infrastructure maintenance. His teaching interests include Virtual Design and Construction and Project Management .

Weiming FengView profile

Professor

• Dynamics and control
• Spacecraft orbit optimization
• Nonlinear vibrations
• +2 more

Weiming Feng is a Professor and PhD Tutor in the Department of Engineering Mechanics at Shandong University's School of Civil Engineering. His research focuses on Dynamics and control, with specific emphasis on Spacecraft orbit optimization. He has published extensively on topics including spacecraft rendezvous, nonlinear vibrations, and optimal control.

Dunfu ZhangView profile

Professor

• Solid Mechanics
• Structural Strength Analysis
• Structural Vibration Reduction
• +3 more

Dunfu Zhang is a Professor and Master Tutor at the Department of Engineering Mechanics, School of Civil Engineering, Shandong University. His research focuses on solid mechanics, structural strength optimization, vibration reduction, and fracture mechanics of rock masses. Research Trends: His publications since 2004 emphasize numerical methods for fracture mechanics (e.g., stress intensity factors, 3D crack simulations), fluid-solid coupling dynamics, and scale effects in material behavior. Key applications include railway vibration isolation systems and rock mass stability under water pressure.

Weidong WangView profile

Associate Professor

• Vibration analysis
• Numerical simulation technology
• Application of numerical calculation methods in mechanics and engineering

Weidong Wang is an Associate Professor and Master Tutor at Shandong University's School of Civil Engineering, Department of Engineering Mechanics. His research focuses on computational mechanics and numerical methods for engineering applications. Vibration analysis and its engineering applications Numerical simulation of plastic forming processes Computational methods in mechanics His publications from 2004-2011 demonstrate expertise in meshless methods like natural element and element-free Galerkin techniques, applied to plastic flow theory, fracture mechanics, and plate vibration analysis. Key themes include structural dynamics, numerical stability, and computational modeling of mechanical systems.