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• Electronic Design Automation (EDA)
• Analog/RF Circuit Simulation
• Multi-physics Analysis
• +2 more

Dr. QUAN Chen is an Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech), holding this position since May 2025 after serving as Assistant Professor (2019-2025) and Research Assistant Professor at the University of Hong Kong (2012-2018). A Shenzhen high-level overseas talent, he earned his PhD from the University of Hong Kong and conducts cutting-edge research in electronic design automation. His academic credentials include: Ph.D. from The University of Hong Kong (2010) Master's degree from The University of Hong Kong (2007) Bachelor's degree from Sun Yat-Sen University (2005) Dr. Chen's research pioneers advanced EDA algorithms for large-scale analog/RF circuit simulation, post-Moore multi-physics analysis, and AI-assisted design technologies. His work addresses critical challenges in nanodevice modeling and quantum computing circuits, resulting in over 50 publications in top venues like IEEE TCAD and DAC, plus four Chinese patents. Analysis of his recent publications reveals dominant trends in exponential integrator methods for transient simulation, model order reduction techniques, and physics-informed machine learning for reliability analysis. His work bridges numerical mathematics with practical EDA applications across analog circuits, quantum hardware, and emerging memory technologies. Key recognitions include: Wu Wenjun Artificial Intelligence Science and Technology Award, Second Prize (2020) ICCAD Best Paper Award Nomination (2012) Dr. Chen actively recruits Postdoctoral Fellows, Research Assistants, and Graduate Students while leading major funded projects including NSFC key/general programs and Guangdong Provincial R&D initiatives. His industry partnerships with Huawei, Empyrean, and Guowei Group translate theoretical advances into real-world EDA solutions. He directs a specialized research group at SUSTech focused on computational methods for next-generation circuit design, fostering innovation in simulation algorithms and multi-physics analysis through academic-industry collaboration.

• Nonlinear Dynamics and Control
• Model Order Reduction
• Flexible Multibody Dynamics
• +2 more

Dr. Li Mingwu is an Assistant Professor and doctoral supervisor in the Department of Mechanics and Aerospace Engineering at Southern University of Science and Technology (SUSTech). He joined SUSTech in 2023 after completing a postdoctoral fellowship at ETH Zurich (2020-2022). Education: B.Eng. in Engineering Mechanics (2013), Huazhong University of Science and Technology M.Eng. in Computational Mechanics (2016), Dalian University of Technology Ph.D. in Mechanical Engineering (2020), University of Illinois at Urbana-Champaign His research focuses on nonlinear dynamics and control, with achievements in high-dimensional nonlinear vibration model reduction, spacecraft trajectory optimization algorithms, complex mission design, fluid-structure interaction, and flexible multibody dynamics. He has published over 20 first/corresponding author papers and developed key software tools: COCO (Continuation Core for nonlinear analysis) SSMTool 2.x (Exact Nonlinear Model Reduction Toolbox) Research trends include: Exact reduced-order models for nonlinear systems Applications in soft robotics and rotating machinery Bifurcation analysis and multistability phenomena Computational optimization for control systems Scientific recognition: NODYCON23 Best Paper Award (twice) ICDVC 2022+1 Best Oral Presentation Award Organizer of ICVE 2021 and ECCOMAS 2022/2024 Young Editor of Acta Mechanica Sinica Guest Editor for Journal of Dynamics and Control special issue Teaching contributions include courses on: Vibration Theory (MAE318) Advanced Numerical Analysis (MAE5002) Nonlinear Dynamics and Chaos (MAE5034)

Liang YongView profile

Associate Professor

• Data-Driven Decision Analytics
• Supply Chain Management
• Disruption Management
• +5 more

Liang Yong serves as Associate Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management. Currently maintaining office hours on Thursdays at 10:00 in Room B424 of Lihua Building, he teaches undergraduate, doctoral, and MBA courses including Production and Operations Management, Advanced Operations Research, and Data, Models, and Decision Making. His educational background includes a B.A. in Engineering Physics from Tsinghua University (2005), Master's in Nuclear Engineering from Purdue University (2008), and Ph.D. in Industrial Engineering and Operations Research from UC Berkeley (2013). Prior to academia, he worked as a Quantitative Analyst at Google Inc. (2013-2014). Liang's research focuses on Data-Driven Decision Analytics , Supply Chain Disruption Management , and Mechanism/Contract Design , with particular emphasis on integrating learning algorithms with operations research. His work addresses critical challenges in omnichannel retail, energy systems, and transportation networks. His 11 recent publications in premier journals like Operations Research and Manufacturing & Service Operations Management demonstrate consistent contributions to operations analytics, with notable recognition including the 2019 POMS-JD.com data-driven paper competition winner prize. Winner prize, POMS-JD.com data-driven paper competition (2019) He actively supervises PhD students, both independently and through co-advisement with faculty like Jian Chen and Yongbo Xiao. His research addresses practical industry challenges through collaborations with major technology companies and government entities, with current work focusing on resilient supply chain design and smart energy systems.

Chen GuoqingView profile

Professor

• Business Intelligence
• Big Data Analysis
• E-commerce
• +4 more

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."

• Active Noise Control
• Environmental Noise Control
• Acoustical Signal Processing
• +3 more

Dr. Hu Qi is a Lecturer in the School of Automation and Intelligent Manufacturing at Southern University of Science and Technology (SUSTech), with expertise in acoustics and biomedical applications. He holds a Ph.D. in Building Environment and Energy Engineering from The Hong Kong Polytechnic University and has accumulated interdisciplinary experience in Industrial Design, Mechanical Engineering, and Acoustical Signal Processing. Education: Ph.D. (2019), M.Sc. (2012), BEng (2010). Research Interests: Active Noise Control, Acoustic Tweezers, Environmental Noise Control, Acoustic Radiation Forces, and Sound Quality Analysis. Recent Publications: Span acoustics and materials science, including 3D Acoustic Tweezers and multiscale fracture modeling. Work Experience: Post-doc research at Shenzhen Institute of Advanced Technology (2020–2022); research assistant roles at Hong Kong Polytechnic University.