جستجوی استاد راهنمای دانشگاهی

Chen Guoqingمشاهده پروفایل

استاد

• Business Intelligence
• Big Data Analysis
• E-commerce
• +۴ مورد دیگر

Chen Guoqing is a Professor and Senior Professor of Humanities at Tsinghua University's School of Economics and Management, where he serves as Deputy Director of the Academic Committee. He chairs the National Natural Science Foundation of China's Big Data Major Research Program Guidance Expert Group and directs the Ministry of Education's Higher Education Management Science and Engineering Professional Teaching Guidance Committee, with additional roles on national informatization and New Liberal Arts committees. Education: Bachelor's Degree, Renmin University of China (1982) Master's Degree, University of Leuven, Belgium (1988) Doctorate, University of Leuven, Belgium (1992) Research Focus: Professor Chen pioneers research in Business Intelligence and Big Data Analysis, developing frameworks like PAGE for data-driven decision-making. His work spans E-commerce, IT Strategy, and Fuzzy Logic, with recent emphasis on personalized recommendation systems, online consumer behavior, and AI-human collaboration in business contexts. His publications reveal a trajectory from foundational fuzzy logic research to cutting-edge big data applications, consistently bridging technical innovation with managerial relevance. Awards: AIS Fellow (first from mainland China) IFSA Fellow Fudan Management Outstanding Contribution Award Changjiang Scholar Distinguished Professor National Science Fund for Distinguished Young Scholars National Outstanding Doctoral Dissertation Advisor Leadership: As former Executive Vice Dean of Tsinghua SEM and Vice President of IFSA, he has shaped academic policy globally. He leads major NSFC projects and international collaborations while advising government bodies on informatization strategy. His teaching includes national-level courses like "Management Information Systems" and "Management in the Big Data Era."

卫强مشاهده پروفایل

استاد

• Big data analysis
• Information systems
• E-commerce
• +۴ مورد دیگر

Professor Qiang Wei is a faculty member at the Department of Management Science and Engineering, Tsinghua University School of Economics and Management. With a PhD in Management from Tsinghua (1999-2003), he has held academic positions including Department Head and Deputy Secretary of the Party Branch. His research focuses on big data analysis, information systems, e-commerce, business intelligence, data mining, and management simulation. Doctor of Management, Tsinghua School of Economics and Management (1999-2003) Master of Tsinghua School of Economics and Management (1997-1999) Bachelor of Science, Tsinghua School of Economics and Management (1992-1997) His recent research explores big data analysis , online review systems , and personalized recommendation through machine learning and neural network frameworks. Articles span topics including monetary incentives in crowdsourcing , temporal consistency in review ranking , and product relationship discovery via embeddings . He has published in top journals like Management World, INFORMS Journal on Computing, and Information Systems Research. Key awards include: 2021 Ten Best Papers Award, Management World 2020 Ministry of Education Second Prize in Philosophy and Social Sciences 2018 Theory Contribution Award, China Society for Information Economics He teaches courses such as Information Technology and Management , Big Data and Business Analysis , and Data Structure and Algorithm . His work bridges computational methods with business applications, including cybersecurity analysis, mobile technology impact studies, and competitive intelligence systems.

• Groundwater Pollution
• Environmental Science
• Hydrology
• +۳ مورد دیگر

Zhilin Guo is an Associate Professor at the School of Environmental Science and Engineering of the Southern University of Science and Technology (SUSTech), Shenzhen. She earned her Ph.D. in Environmental Science (minor in Hydrology) from the University of Arizona and completed postdoctoral work at UC Davis. Research Leadership : Vice Chair of UNESCO Groundwater Youth Network, member of AGU and IAHR committees, and associate editor for top journals like Water Resources Research . Research Focus : Groundwater pollution mechanisms, non-Fickian transport modeling, contamination risk assessment, and sustainability under global change. Her work spans numerical simulation, upscaling methods, and reactive transport analysis. Scientific Awards : 2024 Ministry of Education Young Talents, 2024 Guangdong Environmental Science Society Gold Award, and multiple journal-specific honors. Her funded projects include national Key R&D programs and NSFC grants, totaling over 10 million RMB. Academic Contributions : Published 15+ papers in 2024 alone, covering groundwater modeling, pollution risk, and climate-water interactions. Her teaching includes bilingual courses on water resources and contaminant transport.

• 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).

• Healthcare management and operations
• Operations management
• Digital platforms
• +۴ مورد دیگر

Hao Shuai serves as Assistant Professor at the School of Business, Southern University of Science and Technology (SUSTech), where he has been teaching since 2023. His research bridges operations management with practical applications in healthcare, technology, and business systems. His educational background includes: PhD in Operations Management, University of Illinois at Urbana-Champaign (2017-2023) Bachelor of Applied Physics, University of Science and Technology of China (2013-2017) Dr. Hao's research program focuses on empirical investigations in healthcare operations management, examining how digital platforms transform service delivery systems. His work extends to financial technology applications and human-computer interaction within business contexts, employing advanced methodologies including causal inference and machine learning. This interdisciplinary approach combines his physics background with business analytics expertise. As a new faculty member at SUSTech, Dr. Hao contributes to the university's mission of innovation in Shenzhen's dynamic economic environment. His research addresses contemporary challenges in service operations where technology intersects with human behavior and organizational efficiency.

• Computational Intelligence
• Evolutionary Multi-objective Optimization
• Evolutionary Machine Learning
• +۵ مورد دیگر

Professor Hisao Ishibuchi is Chair Professor of Computer Science and Engineering at Southern University of Science and Technology (SUSTech) in Shenzhen, China, a role he has held since April 2017. Previously, he spent nearly three decades at Osaka Prefecture University, progressing from Research Associate (1987-1993) to Assistant Professor (1993), Associate Professor (1994-1999), and full Professor (1999-2017). He is an IEEE Fellow , served as Vice-President of the IEEE Computational Intelligence Society (2010-2013) , and is currently President of the Japan Society for Evolutionary Computation (2016-2018) . He is Editor-in-Chief of IEEE Computational Intelligence Magazine (2014-2019) and the Journal of the Japan EC Society (2014-2018). Education: Ph.D. in Engineering, Osaka Prefecture University, 1992 M.S. in Engineering, Kyoto University, 1987 B.S. in Engineering, Kyoto University, 1985 Research Focus: Professor Ishibuchi is internationally recognised as a pioneer of computational intelligence , with seminal contributions to evolutionary multi-objective optimisation , evolutionary machine learning , fuzzy systems , neural networks , and hybrid intelligent systems . He introduced the first multi-objective memetic algorithm and early methods for multi-objective fuzzy rule-based classifier design that balance accuracy and interpretability. Publications & Impact: With over 100 journal papers in top-tier venues such as IEEE Transactions on Evolutionary Computation and nearly 500 conference papers, his work has attracted more than 24 000 Google-Scholar citations and an h-index of 68. His recent articles concentrate on many-objective optimisation, fuzzy machine learning, and transfer learning techniques. Honours & Awards: IEEE Computational Intelligence Society Fuzzy Systems Pioneer Award 2019 IEEE Fellow 2014 JSPS Prize 2007 (Japan’s most prestigious mid-career award) Multiple Best Paper Awards from GECCO, FUZZ-IEEE, SCIS & ISIS, WAC, ACIIDS, HIS-NCEI, and others Teaching & Mentoring: At SUSTech he teaches Advanced Algorithms and Advanced Optimization Algorithms , covering greedy algorithms, hyper-heuristics, memetic algorithms, multi-objective optimisation, and performance assessment. His research group actively recruits post-doctoral fellows and research assistants in evolutionary computation, fuzzy systems, and neural networks. Labs & Teams: He leads the Computational Intelligence Research Group at SUSTech, maintaining active collaboration networks across Asia, Europe, and North America, and supervising several post-doctoral researchers and graduate students working on next-generation intelligent systems.

• 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.

• Environmental Fluid Mechanics
• Eco-fluvial Dynamics
• Hyporheic Exchange
• +۳ مورد دیگر

Liu Yan is an Assistant Professor and Doctoral Supervisor at the School of Environmental Science and Engineering, Southern University of Science and Technology (SUSTech). He joined SUSTech in September 2022 after completing postdoctoral research at University College London (2020-2022) and Texas Tech University (2018-2020), and was selected as a High-Level Talent of Shenzhen. His educational background includes: Ph.D. in Hydraulic Engineering (Modeling Sediment Transport) from Tsinghua University (2017) Joint Ph.D. in Civil and Environmental Engineering from Cardiff University (2014-2015) B.S. in Hydraulic Engineering from Tsinghua University (2012) Liu Yan's research focuses on eco-fluvial dynamics, with particular emphasis on the interactions among turbulence structures, sediment transport, and benthic organisms in natural water bodies. His work spans environmental fluid mechanics, hyporheic exchange processes, and ecological river dynamics, employing advanced numerical simulations and experimental approaches to investigate complex phenomena at the interface of physical and biological processes. His recent publications demonstrate a strong interdisciplinary focus that bridges engineering, environmental science, and ecology. His research investigates how turbulence structures affect sediment transport and benthic organisms, how hyporheic exchange influences water quality, and how ecological processes impact river morphology. This work has significant implications for understanding and managing aquatic ecosystems, particularly in the context of environmental change and human impacts on river systems. His scientific achievements have been recognized with several awards: Shenzhen High-Level Talents (Level C) Excellent Graduate of Tsinghua University Excellent Graduate of Universities in Beijing IAHR-SHCS Best Report Award Liu Yan serves as a Doctoral Supervisor and Principal Investigator for multiple research projects. He has secured significant funding including a National Natural Science Foundation of China General Program (CNY 530,000), a Guangdong Provincial Offshore Wind Power Joint Fund project (CNY 300,000), and a Shenzhen Municipal General Project (CNY 300,000). He also participates as a sub-project leader in the Ministry of Science and Technology's Key R&D Program (CNY 14.6 million). He actively recruits postdoctoral researchers, PhD, and Master's students for his research group focused on environmental fluid mechanics and eco-fluvial dynamics. He serves on professional committees including the Sediment Professional Committee of the Chinese Hydraulic Engineering Society and the Marine Geo-disaster and Geo-environment Committee of the International Consortium on Geo-disaster Reduction, and is a Young Editorial Board Member for the International Journal of Sediment Research.

Guanhua Chenمشاهده پروفایل

استادیار

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Applied Machine Learning
• +۴ مورد دیگر

Dr. Guanhua Chen is an Assistant Professor in the Department of Statistics and Data Science at Southern University of Science and Technology (SUSTech). His research focuses on Natural Language Processing (NLP), Large Language Models (LLMs), and Multimodal AI, with applications in drug discovery and urban planning. He previously earned his Ph.D. from the University of Hong Kong and B.S./M.S. from Tsinghua University, with internships at Microsoft Research Asia and Huawei Noah’s Ark Lab. Education: Ph.D. in Computer Science (University of Hong Kong, 2022), B.S. and M.S. in Computer Science (Tsinghua University, 2012 & 2014) Dr. Chen's research explores LLMs, data synthesis, multimodal systems, and model compression. He leads a lab equipped with 16 RTX 4090 GPUs, 16 L40 GPUs, and 4 A100 GPUs, providing resources for students to experiment with open-source and proprietary LLM APIs. His recent publications highlight innovations in LLM jailbreaking, parameter-efficient tuning (MiLoRA), cross-lingual transfer (mCLIP), and evaluation frameworks for robustness testing. Notably, he was awarded the Microsoft Research Asia StarTrack Scholar in 2025. Key Publications: mCLIP (ACL 2023), ImPart (ACL 2025), MiLoRA (NAACL 2025) Dr. Chen actively seeks motivated PostDoc, PhD, and Master's students. He serves as an Area Chair for ACL and EMNLP and contributes to advancing AI through open-source projects like mCLIP on GitHub.

• Bipedal Robotics
• Humanoid Robotics
• Powered Prosthesis
• +۵ مورد دیگر

Prof. Chenglong Fu is the Head of the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech) and Director of the Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems. He obtained his B.S. in Mechanical Engineering from Tongji University (2002) and Ph.D. in Precision Instruments and Mechanology from Tsinghua University (2007). His academic roles include serving as an Associate Editor for Robotica and leadership positions in IEEE conferences. Education : Tsinghua University (Ph.D.), Tongji University (B.S.) Current Positions : Head of Department, SUSTech; Director of Shenzhen Key Lab As a leading researcher in humanoid and assistive robotics , Prof. Fu investigates predictive principles of dynamic walking in complex environments. His work bridges robotics, biomechanics, and rehabilitation engineering , focusing on powered prostheses, exoskeletons, and SuperLimbs for load carriage efficiency and stability. His recent publications highlight innovations in: Unsupervised cross-subject adaptation for locomotion intent prediction Nonlinear series elastic actuators for hip exoskeletons 3D gaze fusion for terrain perception Variable stiffness suspension systems Stroke patient gait trajectory personalization He has received multiple scientific awards , including: Shenzhen Science and Technology Progress First Prize (2022) Chinese Association of Automation Science and Technology Second Prize (2022) IEEE Conference Best Paper Finalists (2019-2021) Shenzhen Peacock Plan (2018) Prof. Fu leads the Human-Augmented Robotics Lab (HARL) at SUSTech, directing over 30 research projects and holding >30 patents. His teaching contributions include multiple Excellent Mentor Awards at Tsinghua and SUSTech.

• Artificial Intelligence
• Robotics
• Organizational Behavior
• +۲ مورد دیگر

Ren Qizhi serves as Jardine Cycle & Carriage Chair Professor of Business, Department Head, and Assistant Dean at the National University of Singapore. His research centers on cross-contextual interactions between humans and intelligent systems, specifically examining organizational behavior implications of artificial intelligence and robotics integration. This interdisciplinary work bridges technology adoption frameworks with leadership dynamics in evolving workplace ecosystems. No scientific awards were documented in the provided materials. Administrative responsibilities include departmental leadership and deanship functions at NUS, though specific advising activities or grant portfolios remain unreported. His research trajectory indicates strong alignment with human-centered AI applications in organizational settings. No laboratory or research team affiliations were specified in the source text.

• Marketing
• Consumer Behavior
• Digital Marketing
• +۲ مورد دیگر

Huang Li serves as an Associate Professor in the Department of Marketing at Hofstra University, USA. They were invited to present research at Tsinghua University's School of Economics and Management on June 6, 2025. Huang Li's research focuses on the psychological aspects of consumer interactions with digital interfaces, particularly examining how anthropomorphizing digital channels affects consumer perceptions and brand relationships. Their work explores the complex dynamics between reliability expectations, trust formation, and the unintended consequences of human-like characteristics in digital marketing environments. At Tsinghua University, Huang presented on 'Is reliability always a good thing? The unintended consequences of anthropomorphizing digital channels for consumers and brands,' highlighting cutting-edge research at the intersection of marketing psychology and digital technology. This presentation reflects Huang Li's scholarly contributions to understanding evolving consumer-brand relationships in increasingly humanized digital landscapes.