Research Areas and OverviewHis main research expertise lies in the low-carbon treatment and resource recovery of wastewater and solid waste. He is committed to fundamental research oriented toward engineering applications, as well as innovative technology development aimed at industrial implementation. In response to China’s “dual-carbon” goals and the major challenges faced in wastewater and waste treatment processes—such as high energy consumption, high chemical consumption, substantial carbon emissions, and excessive sludge generation—he innovatively proposed a new “anaerobic digestion–anammox” (fully anaerobic) wastewater treatment process, enabling energy recovery from organic wastewater and low-carbon nitrogen removal. He also originally proposed a new “high-rate activated sludge process + dual-membrane process,” achieving high-quality reclaimed water reuse and efficient, low-carbon treatment of concentrated wastewater.

Research Projects LedHe has led one intergovernmental international cooperation project under the National Key R&D Program of China, titled “Low-carbon urban wastewater treatment through coupling enhanced primary sludge methane production and phosphorus release with mainstream anammox,” as well as three General Program projects funded by the National Natural Science Foundation of China, and five major or key provincial- and ministerial-level science and technology innovation projects.

Honors and AchievementsHe has received the Third Prize of the Shanghai Science and Technology Progress Award and the Shanghai Yucai Award. He has published more than 120 high-level academic papers and has been granted more than 20 invention patents. He has established long-term and substantive collaborations with institutions such as Tohoku University in Japan and The University of Queensland in Australia, and has also worked with major state-owned enterprises such as Shanghai Chengtou to promote the industrial transformation of new technologies.

Academic StandingWith more than 20 years of research experience in electrochemical engineering, he has been recognized as a Clarivate Highly Cited Researcher and an Elsevier Highly Cited Chinese Researcher. He currently serves as Executive Dean of the Sino-European Institute of Engineering Technology at Shanghai University, and has previously received honors such as the “Oriental Scholar,” “Shuguang Scholar,” and “Thousand Talents Program” distinctions in Shanghai.

Research FieldsHe has long been engaged in research on environmental and energy materials, achieving substantial成果 in energy batteries, photocatalysis, water treatment, covalent organic frameworks (COFs), metal-organic frameworks (MOFs), and carbon materials. To date, he has published approximately 230 papers in internationally renowned journals, with more than 20,000 citations.

Research ProjectsAs a principal investigator (PI), he has led 21 research projects, including six funded by the National Natural Science Foundation of China, demonstrating strong research capability.

Research AreasHer main research interests include evolutionary reinforcement learning, AutoML, evolutionary computation, and intelligent control theories and methods. She is dedicated to applying these cutting-edge algorithms to robot control, medical-aided diagnosis, and industrial systems in order to solve optimization and control problems in complex systems.

Projects Led and Participated InAs a core member, she has participated in several national key projects, including the Joint Fund Key Project of the National Natural Science Foundation of China, “Attack Visualization Learning Perception, Security Cooperative Regulation and Application of Industrial Internet Heterogeneous Integrated Systems,” and the National Natural Science Foundation Key Project, “Combustion Field Reconstruction and Energy-Efficiency Optimal Control of Industrial Furnaces and Kilns.” She has also led the key project of the Shanghai Municipal Science and Technology Commission, “Research on Intelligent Data-Driven Learning and Optimal Control Systems for Modern Power Stations Based on Big Data.”

Honors and AwardsHer research achievements are highly significant. She has received the First Prize of the Science and Technology Progress Award from the China Instrument and Control Society, the First Prize of the Shanghai Science and Technology Progress Award twice, and the Second Prize once. She was also honored as an Outstanding Scientific and Technological Worker by the Chinese Association for Simulation in 2020, and as a Shanghai Young Talent.

Academic HonorsHe has been selected for the list of the world’s top 2% scientists and the 2023 Shanghai Oriental Talent Program. He received the Second Prize of the Shanghai Natural Science Award in 2022 (as the second contributor), the Second Prize of the National Teaching Achievement Award in 2022, and the First Prize of the Shanghai Teaching Achievement Award.

Research AreasHis main research direction is matrix algebra and its applications in signal processing. He has published 60 SCI papers in top international journals such as Automatica, including seven ESI highly cited papers and two hot papers.

Research ProjectsHe has led projects including the General Program of the National Natural Science Foundation of China, “Solution Theory, Algorithms and Applications for Several Classes of Constrained Quaternion Matrix Equations,” the Tianyuan Mathematics Fund project, and foreign expert projects of the Ministry of Science and Technology. He also serves as a reviewer for multiple international SCI journals and as an editorial board member of the SCI journal Numerical Algorithms.

Research AreasIn recent years, his research has focused on flexible antenna design for wireless body area networks (WBANs), stochastic modeling methods for antenna radiation performance, uncertainty quantification analysis, and long-distance wireless power transfer. His related achievements have been cited and referenced by several well-known IEEE Fellow teams in the field.

Projects LedHe has led multiple projects, including the Young Scientists Fund project of the National Natural Science Foundation of China, “Statistical Quantification of Flexible Antenna Uncertainty in Complex Disturbance Body Area Networks,” the Aeronautical Science Foundation project, “Research on Long-Distance Wireless Power Transmission Technology for Airborne Sensors,” and the National Foreign Expert Program project, “Research on Key Technologies of Efficient Surrogate Models for Flexible Antennas in Wireless Body Area Networks.”

Talent CultivationHe has independently supervised nine master’s students and co-supervised three doctoral students. Most of his graduated students have entered well-known enterprises and institutions in the electronic information field, engaging in R&D work in areas such as wireless communication and artificial intelligence algorithms.

Research AreasOver the past five years, her research has focused on two areas: the mathematical analysis of the Cauchy problem for quasilinear hyperbolic equations, and the theory of non-additive measures on general sigma-algebras. She is committed to theoretical research in partial differential equations and to exploring the intrinsic mechanisms of complex mathematical models in physical phenomena.

Research ProjectsShe has led a research project on the multiscale analysis of a class of quasilinear elliptic partial differential equations with KKT constraints and their application to multistable contact in micro-nano interfaces, deeply exploring the application mechanisms of mathematical theory in micro- and nanoscale physical phenomena.

Research AreasIn recent years, his research has focused on improving the automation and intelligence of artificial intelligence systems using large language models (LLMs). In reinforcement learning, he explores the use of LLMs for automated reward modeling; in computer vision, he develops interactive image matting methods based on diffusion models; and in security, he introduces Dempster-Shafer evidence theory for the detection and defense of adversarial examples.

Research ProjectsHe leads the “Young Talent Launch Program” project at Shanghai University, focusing on the theoretical exploration and practical implementation of frontier artificial intelligence technologies.

Honors and AwardsHe won the Excellence Award in the Intermediate and Junior Faculty Group of the Third Shanghai University Teaching Innovation Competition.