Feng Qian spends much of his time researching Control theory, Meteorology, Synchronization, Urban design and Network topology. His work carried out in the field of Control theory brings together such families of science as Measure and State. His Meteorology research includes elements of Urban climate and Scatter plot.
Feng Qian studied Synchronization and Control theory that intersect with Chua's circuit. His Urban design study incorporates themes from Urban structure, Airflow, Ventilation and Enclosure. Other disciplines of study, such as Multi-agent system, Nonlinear system and Network planning and design, are mixed together with his Network topology studies.
Feng Qian mainly focuses on Mathematical optimization, Control theory, Artificial intelligence, Process engineering and Nonlinear system. His Mathematical optimization study frequently draws connections between related disciplines such as Benchmark. The concepts of his Control theory study are interwoven with issues in Multi-agent system and Synchronization.
Feng Qian integrates Multi-agent system with Network topology in his research. His research investigates the connection between Artificial intelligence and topics such as Pattern recognition that intersect with problems in Cluster analysis. He combines subjects such as Scientific method, Cracking and Ethylene with his study of Process engineering.
His primary scientific interests are in Artificial intelligence, Multi-agent system, Control theory, Mathematical optimization and Process engineering. The various areas that Feng Qian examines in his Artificial intelligence study include Process control and Computer vision. The Multi-agent system study combines topics in areas such as Distributed computing and Control, Adaptive control.
His Control theory study focuses mostly on Control theory and Nonlinear system. His Control theory research integrates issues from Bounded function and Synchronization. His studies deal with areas such as Energy consumption, Data-driven and Selection as well as Mathematical optimization.
Control theory, Artificial intelligence, Deep learning, Nonlinear system and Multi-agent system are his primary areas of study. Feng Qian is interested in Control theory, which is a branch of Control theory. His studies in Artificial intelligence integrate themes in fields like Process optimization and Refinery.
His study in Deep learning is interdisciplinary in nature, drawing from both Monocular, Computational complexity theory, Cracking, Applications of artificial intelligence and Transfer of learning. His Nonlinear system study integrates concerns from other disciplines, such as Stochastic process, Resource management, Topology, Stability and Control. Feng Qian works mostly in the field of Multi-agent system, limiting it down to topics relating to Distributed computing and, in certain cases, Robustness, as a part of the same area of interest.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
Leming Shi;Laura H. Reid;Wendell D. Jones;Richard Shippy.
Nature Biotechnology (2006)
PKD1 interacts with PKD2 through a probable coiled-coil domain
Qian F;Germino Fj;Cai Y;Zhang X.
Nature Genetics (1997)
Co-assembly of polycystin-1 and -2 produces unique cation-permeable currents
Kazushige Hanaoka;Feng Qian;Alessandra Boletta;Anil K. Bhunia.
The Molecular Basis of Focal Cyst Formation in Human Autosomal Dominant Polycystic Kidney Disease Type I
Feng Qian;Terry J Watnick;Luiz F Onuchic;Gregory G Germino.
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg.
Nature Biotechnology (2014)
RNA interference screen for human genes associated with West Nile virus infection.
Manoj N Krishnan;Aylwin Ng;Bindu Sukumaran;Felicia D Gilfoy.
PKD1 Induces p21waf1 and Regulation of the Cell Cycle via Direct Activation of the JAK-STAT Signaling Pathway in a Process Requiring PKD2
Anil Kumar Bhunia;Klaus Piontek;Alessandra Boletta;Lijuan Liu.
Age-Associated Decrease in TLR Function in Primary Human Dendritic Cells Predicts Influenza Vaccine Response
Alexander Panda;Feng Qian;Subhasis Mohanty;David van Duin.
Journal of Immunology (2010)
Drug-polymer solubility and miscibility: Stability consideration and practical challenges in amorphous solid dispersion development.
Feng Qian;Jun Huang;Munir A. Hussain.
Journal of Pharmaceutical Sciences (2010)
Defective glucose metabolism in polycystic kidney disease identifies a new therapeutic strategy
Isaline Rowe;Marco Chiaravalli;Valeria Mannella;Valeria Ulisse.
Nature Medicine (2013)
Profile was last updated on December 6th, 2021.
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