جستجوی استاد راهنمای دانشگاهی

Zhang Jiayinمشاهده پروفایل

دانشیار

• organizational theory
• organizational behavior
• human-artificial intelligence relationship
• +۵ مورد دیگر

Zhang Jiayin is a Tenured Associate Professor at the Department of Leadership and Organizational Management , School of Economics and Management , Tsinghua University , where he has been since 2019.12. Previously, he served as an Assistant Professor at the same department from 2014.7 to 2019.12. He also directs the Interactive Technology Industry Research Center at Tsinghua University. PhD in Management, MIT Sloan School of Management (2014) Master of Management Research, MIT Sloan (2013) Master of Laws, Department of Sociology, Tsinghua University (2008) Bachelor of Engineering, School of Information Science and Technology, Tsinghua University (2005) His research focuses on organizational theory , organizational behavior , human-technology interaction (particularly with big data, AI, and machine learning), business ethics , innovative and entrepreneurial leadership , and the sustainable development of high-tech enterprises. He adopts an interdisciplinary approach to study the social value and governance of platform enterprises, with publications in American Journal of Sociology , Social Forces , and Information Systems Research . His teaching includes courses such as "Management (Introduction to Business)", "Organizational Behavior", "Management Research Methods", "International Innovation and Entrepreneurship Practices", and "The Establishment and Growth of Technology Enterprises". The latter was selected for Tsinghua University's Global Open Courses in 2021, attracting over 260,000 views via livestream. Scientific Awards : 2021 Second Prize for Outstanding Paper in the First Rongzhi Corporate Social Responsibility Academic Award 2021 Outstanding Papers of the 16th Annual Conference of Chinese Academy of Management 2021 Tsinghua University Student Social Practice Bronze Award (Team Instructor) 2021 Tsinghua SEM Social Practice Gold Award (Team Instructor) 2020 Tsinghua SEM Student Work Second Prize 2020 Tsinghua "Challenge Cup" Student Works Competition Third Prize Instructor 2020 Honorary Title for Outstanding Online Teaching 2019 Tsinghua SEM Student Work Second Prize 2019 Tsinghua SEM Social Practice Silver Award (Team Instructor) 2019 Tsinghua "Challenge Cup" Outstanding Instructor 2017 Nominated for Academy of Management OCIS Best Paper Award 2015 Clifford Geertz Best Paper Award of the American Sociological Association (second place) He actively bridges academic research and industry practice, establishing collaborative mechanisms between academic teams and leading enterprises to drive industry-university-research synergies. His applied research appears in journals like Economic Observer and Tsinghua Management Review , with some excerpted in Xinhua Digest for their societal impact.

• 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.

• Robotics
• Mobile Robotics
• Robot Manipulation
• +۶ مورد دیگر

Jia Zhenzhong is an Assistant Professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech), where he has been employed since September 2019. His research focuses on robotics, control systems, and intelligent automation with applications spanning medical robotics, mobile robots for extreme environments, and advanced manufacturing. Dr. Jia received his academic training from prestigious institutions: Ph.D. in Naval Architecture and Ocean Engineering (Control Engineering) from University of Michigan (2014) Master's in Applied Mathematics from University of Michigan (2014) Master's in Mechanical Engineering from University of Michigan (2009) Master's in Mechanical and Electronic Engineering from Tsinghua University (2007) Bachelor's in Measurement and Control Technology and Instrumentation with a minor in Computer Science from Tsinghua University (2005) Dr. Jia's research spans three main interconnected domains that reflect his expertise in both theoretical foundations and practical applications of robotics and control systems. His work in robotic manipulation addresses fundamental challenges in dexterous manipulation, assembly tasks, and logistics automation. In mobile robotics , he has made significant contributions to terrain interaction modeling, particularly for extraterrestrial environments like Mars and the Moon, as well as for autonomous vehicles operating under challenging conditions. His research in intelligent control bridges traditional control theory with modern machine learning techniques, with particular focus on model predictive control, reinforcement learning, and their applications in energy systems and autonomous decision-making. His publication record demonstrates a consistent trajectory of impactful research that bridges theoretical innovation with practical engineering applications. The publications show increasing sophistication in modeling techniques, particularly in terrain-vehicle interactions and robotic manipulation. There's a clear evolution from fundamental modeling work to more complex system integration and application-specific implementations. His research consistently addresses real-world challenges in robotics, from medical applications to space exploration and industrial automation. Dr. Jia has received several notable honors throughout his career: 2007 Department Fellowship, Department of Mechanical Engineering, University of Michigan, USA 2005 Outstanding Graduate of Tsinghua University Dr. Jia has led and participated in numerous research projects funded by prestigious organizations including the Beijing Science and Technology Commission, the National Natural Science Foundation of China (NSFC), the 863 Program, the US Army/Navy, the National Science Foundation (NSF), and Foxconn Technology Group. His research portfolio demonstrates strong interdisciplinary connections between robotics, control theory, and practical engineering applications across multiple domains. He has published over 20 academic papers, obtained numerous invention patents, and translated four renowned textbooks, including "Modern Robotics." His laboratory work focuses on developing advanced robotic systems for manipulation and mobility challenges, with particular emphasis on applications requiring high precision in unstructured environments. Current research directions include improving robotic dexterity for assembly tasks, enhancing mobile robot navigation in challenging terrains, and developing more efficient control algorithms that integrate learning with traditional control frameworks.

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.

• Fintech
• Crowdfunding
• Mobile Marketing
• +۳ مورد دیگر

HU Wei is an Assistant Professor in the Department of Management Science at the School of Economics and Management, Tongji University , where he has worked since March 2023. His research spans topics in fintech, crowdfunding, and blockchain, with a focus on data-driven approaches. Education : Ph.D. in Information Systems (City University of Hong Kong, 2017-2022), M.S. in Mathematical Finance (City University of Hong Kong, 2015-2016), B.S. in Applied Physics (Tongji University, 2010-2015) HU Wei employs methodologies like Applied Econometrics and Machine Learning to study topics at the intersection of technology and business. His work on crowdfunding success factors, NFT market disparities, and investor sentiment analysis has appeared in top conferences like ICIS and PACIS. Scientific Awards : College of Business Ph.D. Student Teaching Excellence Award Research Tuition Scholarship (RTS) and Outstanding Academic Performance Award (OAPA) at City University of Hong Kong Outstanding Graduates in Shanghai and multiple Tongji University scholarships HU Wei has contributed to grants related to blockchain security and sentiment-driven portfolio optimization. He also serves as a reviewer for journals like Information Systems Research and conferences including ICIS and PACIS.