His primary scientific interests are in Distributed computing, Combinatorics, Simulation, Sequential dynamical system and Discrete mathematics. His Distributed computing research incorporates elements of Distance-vector routing protocol, Interior gateway protocol, Link-state routing protocol, Routing protocol and Zone Routing Protocol. As part of his studies on Combinatorics, Christopher L. Barrett often connects relevant areas like Computational complexity theory.
The study incorporates disciplines such as Generator, Microsimulation, Traffic simulation and Flow network in addition to Simulation. Christopher L. Barrett has included themes like Routing, Operations research, Adaptation and Relaxation in his Microsimulation study. His studies deal with areas such as Fixed point and Generic property as well as Sequential dynamical system.
Christopher L. Barrett mainly investigates Dynamical systems theory, Theoretical computer science, Distributed computing, Combinatorics and Discrete mathematics. His work deals with themes such as Computational complexity theory, Complex system and Graph, which intersect with Dynamical systems theory. His Theoretical computer science research incorporates themes from Shortest path problem, Artificial intelligence and Transims.
His Distributed computing study combines topics from a wide range of disciplines, such as Wireless ad hoc network and Computer network, Network packet. His research related to Sequential dynamical system and Time complexity might be considered part of Combinatorics. His Discrete mathematics study frequently intersects with other fields, such as Fixed point.
Christopher L. Barrett mostly deals with Neutral network, Data science, Computational biology, Infectious disease and Coronavirus disease 2019. The Data science study combines topics in areas such as Behavioral modeling and Social system. Christopher L. Barrett combines subjects such as Nucleic acid sequence and Robustness with his study of Computational biology.
His Robustness research is multidisciplinary, incorporating perspectives in Phenotype and Inverse folding. His work on Coronavirus Infections and Severe acute respiratory syndrome coronavirus 2 is typically connected to MEDLINE, Public relations and 2019-20 coronavirus outbreak as part of general Coronavirus disease 2019 study, connecting several disciplines of science. The various areas that Christopher L. Barrett examines in his Sequence study include Time complexity, Hamming distance and Robustness.
Christopher L. Barrett mainly focuses on Coronavirus disease 2019, Pandemic, Partition function, Time complexity and Energy landscape. In the subject of general Coronavirus disease 2019, his work in Coronavirus Infections and Severe acute respiratory syndrome coronavirus 2 is often linked to MEDLINE, Public relations and 2019-20 coronavirus outbreak, thereby combining diverse domains of study. Pandemic is connected with Discount points, Software deployment, Actuarial science, Vaccination and Vaccine efficacy in his research.
His Partition function research incorporates Algorithm, Sequence, Hamming distance, Neutral network and Robustness.
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.
Modeling targeted layered containment of an influenza pandemic in the United States
Elizabeth M. Halloran;Neil M. Ferguson;Stephen Eubank;Ira M. Longini;Ira M. Longini.
Proceedings of the National Academy of Sciences of the United States of America (2008)
EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks
Christopher L. Barrett;Keith R. Bisset;Stephen G. Eubank;Xizhou Feng.
ieee international conference on high performance computing data and analytics (2008)
Commentary on Ferguson, et al., "Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand".
S. Eubank;I. Eckstrand;B. Lewis;S. Venkatramanan.
Bulletin of Mathematical Biology (2020)
Formal-Language-Constrained Path Problems
Chris Barrett;Riko Jacob;Madhav Marathe.
SIAM Journal on Computing (2000)
If Smallpox Strikes Portland...
Chris L. Barrett;Stephen G. Eubank;James P. Smith.
Scientific American (2005)
Characterizing the interaction between routing and MAC protocols in ad-hoc networks
Chris Barrett;Achla Marathe;Madhav V. Marathe;Martin Drozda.
mobile ad hoc networking and computing (2002)
Generation and analysis of large synthetic social contact networks
Christopher L. Barrett;Richard J. Beckman;Maleq Khan;V. S. Anil Kumar.
winter simulation conference (2009)
The distance-2 matching problem and its relationship to the MAC-Layer capacity of ad hoc wireless networks
H. Balakrishnan;C.L. Barrett;V.S.A. Kumar;M.V. Marathe.
IEEE Journal on Selected Areas in Communications (2004)
Elements of a theory of simulation II: sequential dynamical systems
C. L. Barrett;H. S. Mortveit;C. M. Reidys.
Applied Mathematics and Computation (2000)
Parametric probabilistic sensor network routing
Christopher L. Barrett;Stephan J. Eidenbenz;Lukas Kroc;Madhav Marathe.
sensor networks and applications (2003)
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: