2012 - Fellow of the American Academy of Arts and Sciences
1999 - Member of the National Academy of Engineering For contributions to the research, industrial practice, and education of process systems engineering, and for international intellectual and professional leadership.
His primary scientific interests are in Process, Chemical process, Process engineering, Process control and Control engineering. His work on Process modeling as part of general Process research is frequently linked to Control, bridging the gap between disciplines. His biological study spans a wide range of topics, including Chemical plant, Observability, Process design and Systems engineering.
The concepts of his Process engineering study are interwoven with issues in Graphical user interface, Software, Object-oriented programming, Scheduling and Procedural knowledge. His research on Process control frequently connects to adjacent areas such as Control system. His research investigates the connection with Control system and areas like Component which intersect with concerns in Representation.
His main research concerns Process, Control theory, Process control, Control engineering and Mathematical optimization. His Process research includes themes of Modeling language, Process engineering, Chemical process and Artificial intelligence. His study in Control theory is interdisciplinary in nature, drawing from both Variable and Queue.
His Process control research is multidisciplinary, incorporating perspectives in Control and Systems engineering. His Control research focuses on Set and how it relates to Process. His work in Control engineering tackles topics such as Control system which are related to areas like Control theory.
George Stephanopoulos mainly investigates Biorefinery, Nanotechnology, Nanostructure, Monte Carlo method and Statistical physics. His studies in Biorefinery integrate themes in fields like Process engineering, Process and Biochemical engineering. His work on Process modeling is typically connected to Multi actor as part of general Process study, connecting several disciplines of science.
As part of one scientific family, George Stephanopoulos deals mainly with the area of Monte Carlo method, narrowing it down to issues related to the Wavelet transform, and often Random walk. George Stephanopoulos studied Nanoscopic scale and Dynamic simulation that intersect with Directed self assembly and Control engineering. He interconnects Domain and Process control in the investigation of issues within Control engineering.
His primary areas of investigation include Nanotechnology, Statistical physics, Position, Nanostructure and Mechanical engineering. His work carried out in the field of Nanotechnology brings together such families of science as Function, Granularity, Ergodicity and Degrees of freedom. His Statistical physics study incorporates themes from Sampling, Monte Carlo method and Wavelet transform.
His Position research covers fields of interest such as Nanometre, Fabrication, Length scale, Topology and Series. His Nanostructure research incorporates elements of Set, Phase space and Reduction. George Stephanopoulos integrates Mechanical engineering with Synthetic Cells in his study.
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.
Chemical process control: an introduction to theory and practice
George Stephanopoulos.
(1984)
Chemical Process Control
George Stephanopoulos.
(1984)
A compendium of gene expression in normal human tissues.
Li Li Hsiao;Fernando Dangond;Takumi Yoshida;Robert Hong.
Physiological Genomics (2001)
A review of process synthesis
Naonori Nishida;George Stephanopoulos;A. W. Westerberg.
Aiche Journal (1981)
Wave‐net: a multiresolution, hierarchical neural network with localized learning
Bhavik R. Bakshi;George Stephanopoulos.
Aiche Journal (1993)
Representation of process trends—Part I. A formal representation framework
J.T.-Y. Cheung;G. Stephanopoulos.
Computers & Chemical Engineering (1990)
Studies in the synthesis of control structures for chemical processes: Part I: Formulation of the problem. Process decomposition and the classification of the control tasks. Analysis of the optimizing control structures
Manfred Morari;Yaman Arkun;George Stephanopoulos.
Aiche Journal (1980)
Transcriptional therapy with the histone deacetylase inhibitor trichostatin A ameliorates experimental autoimmune encephalomyelitis.
Sandra Camelo;Antonio H. Iglesias;Daehee Hwang;Brice Due.
Journal of Neuroimmunology (2005)
Modeling of Isotope Distributions and Intracellular Fluxes in Metabolic Networks Using Atom Mapping Matrices
C. Zupke;G. Stephanopoulos.
Biotechnology Progress (1994)
Intelligent systems in process engineering : A review
G. Stephanopoulos;C. Han.
Computers & Chemical Engineering (1996)
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