2015 - IEEE Fellow For contributions to estimation and optimization of distributed parameter systems
His primary areas of study are Control theory, Cell biology, Galectin, T cell and Distributed parameter system. Michael A. Demetriou has included themes like Control engineering and Partial differential equation in his Control theory study. Michael A. Demetriou combines subjects such as Receptor, Biochemistry, Glycoprotein, Golgi apparatus and Autoimmunity with his study of Cell biology.
The Galectin study combines topics in areas such as Cell surface receptor and T-cell receptor. His studies in T cell integrate themes in fields like Experimental autoimmune encephalomyelitis, Multiple sclerosis and Autoimmune disease. His research integrates issues of Process control, State and Lyapunov function in his study of Distributed parameter system.
The scientist’s investigation covers issues in Control theory, Distributed parameter system, Actuator, Control engineering and Partial differential equation. His is involved in several facets of Control theory study, as is seen by his studies on Control theory, Adaptive control, Lyapunov function, Nonlinear system and Robustness. His studies deal with areas such as Control reconfiguration and Fault detection and isolation as well as Nonlinear system.
His research in Distributed parameter system intersects with topics in Estimation theory, Observer, Estimator, Mathematical optimization and Applied mathematics. His Estimator research incorporates elements of Grid and Algorithm. His Actuator research incorporates themes from Optimization problem, Controllability, Robust control and Optimal control.
His main research concerns Control theory, Distributed parameter system, Partial differential equation, Control theory and Cell biology. His Control theory research integrates issues from Estimator and Pairwise comparison. His Partial differential equation study also includes fields such as
His work investigates the relationship between Control theory and topics such as Kernel that intersect with problems in Computational geometry. His work in the fields of Cell biology, such as Galectin, overlaps with other areas such as Cellular homeostasis. His work carried out in the field of Actuator brings together such families of science as Observer, Graphical model and Distributed computing.
Michael A. Demetriou focuses on Control theory, Cell biology, Estimator, Distributed parameter system and Galectin. His work on Kalman filter as part of general Control theory study is frequently linked to Voronoi diagram, bridging the gap between disciplines. His Cell biology research is multidisciplinary, relying on both Cell, Glycosylation, T cell and Glycan.
In general Cell study, his work on Golgi apparatus often relates to the realm of Cellular homeostasis, thereby connecting several areas of interest. His study in Estimator is interdisciplinary in nature, drawing from both Grid, Plume, State observer and Finite volume method. Michael A. Demetriou has researched Galectin in several fields, including B cell, breakpoint cluster region, CD19 and T-cell receptor.
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.
Negative regulation of T-cell activation and autoimmunity by Mgat5 N -glycosylation
Michael Demetriou;Maria Granovsky;Sue Quaggin;James W. Dennis;James W. Dennis.
Nature (2001)
Complex N-Glycan Number and Degree of Branching Cooperate to Regulate Cell Proliferation and Differentiation
Ken S. Lau;Ken S. Lau;Emily A. Partridge;Emily A. Partridge;Ani Grigorian;Cristina I. Silvescu.
Cell (2007)
Metabolism, Cell Surface Organization, and Disease
James W. Dennis;James W. Dennis;Ivan R. Nabi;Michael Demetriou.
Cell (2009)
Fetuin/α2-HS Glycoprotein Is a Transforming Growth Factor-β Type II Receptor Mimic and Cytokine Antagonist
Michael Demetriou;Christoph Binkert;Balram Sukhu;Howard C. Tenenbaum;Howard C. Tenenbaum.
Journal of Biological Chemistry (1996)
Incipient fault diagnosis of dynamical systems using online approximators
M.A. Demetriou;M.M. Polycarpou.
IEEE Transactions on Automatic Control (1998)
Reduced contact-inhibition and substratum adhesion in epithelial cells expressing GlcNAc-transferase V.
Michael Demetriou;Ivan R. Nabi;Marc Coppolino;Shoukat Dedhar.
Journal of Cell Biology (1995)
Adaptive Regulation at the Cell Surface by N-Glycosylation
James W. Dennis;James W. Dennis;Ken S. Lau;Michael Demetriou;Ivan R. Nabi.
Traffic (2009)
Guidance of Mobile Actuator-Plus-Sensor Networks for Improved Control and Estimation of Distributed Parameter Systems
Michael A Demetriou.
IEEE Transactions on Automatic Control (2010)
Regulation of Osteogenesis by Fetuin
Christoph Binkert;Michael Demetriou;Balram Sukhu;Melanie Szweras;Melanie Szweras.
Journal of Biological Chemistry (1999)
Model Reference Adaptive Control of Distributed Parameter Systems
Michael Böhm;M. A. Demetriou;Simeon Reich;I. G. Rosen.
Siam Journal on Control and Optimization (1998)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Lunenfeld-Tanenbaum Research Institute
University of Houston
Monash University
North Carolina State University
North Carolina State University
Technion – Israel Institute of Technology
University of Cyprus
University of British Columbia
National Technical University of Athens
Georgia Institute of Technology
University of New South Wales
Fordham University
TU Wien
University of Illinois at Urbana-Champaign
University of Amsterdam
Universitat Politècnica de Catalunya
University of Colorado Boulder
Donghua University
Ohio University - Lancaster
Hebrew University of Jerusalem
Otto-von-Guericke University Magdeburg
Geophysical Fluid Dynamics Laboratory
Tohoku University
University of Melbourne
Ghent University
National Institutes of Natural Sciences