2019 - Fellow of the American Mathematical Society For contributions to the mathematical foundations and applications of systems theory, stochastic systems, stochastic control, network security and trust, mentoring and academic leadership.
2017 - IEEE Simon Ramo Medal “For exceptional contributions to the conception and commercialization of internet-over-satellite systems, and for leadership in model-based engineering, systems science, and engineering research.”
2017 - Richard E. Bellman Control Heritage Award
2015 - Fellow, National Academy of Inventors
2014 - Fellow of the American Association for the Advancement of Science (AAAS)
2014 - Fellow of the International Federation of Automatic Control (IFAC)
2014 - SIAM Fellow For contributions to systems theory, stochastic control, and communication networks.
1984 - IEEE Fellow For contributions to distributed parameter systems theory, quantum and nonlinear estimation, and control of queuing systems.
John S. Baras mainly focuses on Computer network, Distributed computing, Control theory, Wireless ad hoc network and Game theory. His studies deal with areas such as Wireless network and Scalability as well as Computer network. His work in Distributed computing addresses issues such as Wireless, which are connected to fields such as Ubiquitous computing, Stationary distribution, Trust management and Risk management.
His Wireless ad hoc network research is multidisciplinary, relying on both Mobile ad hoc network, Path and Communications protocol. John S. Baras has included themes like The Internet and Routing protocol in his Mobile ad hoc network study. His Game theory research integrates issues from Computer security, Human–computer interaction and Complete information.
His primary areas of study are Computer network, Distributed computing, Mathematical optimization, Control theory and Algorithm. His Computer network research is multidisciplinary, incorporating elements of Wireless, Wireless ad hoc network and Wireless network. His Distributed computing research incorporates themes from Link-state routing protocol, Routing protocol, Network topology, Telecommunications network and Scheduling.
He interconnects Static routing, Wireless Routing Protocol and Dynamic Source Routing in the investigation of issues within Link-state routing protocol. His Mathematical optimization study integrates concerns from other disciplines, such as Stochastic process and Convergence. His Control theory study is mostly concerned with Robust control, Nonlinear system, Control theory, Optimal control and Actuator.
John S. Baras focuses on Mathematical optimization, Computer network, Distributed computing, Control theory and Theoretical computer science. His Mathematical optimization study also includes fields such as
John S. Baras usually deals with Distributed computing and limits it to topics linked to Resource management and Control system and Transmission. John S. Baras has researched Control theory in several fields, including Stochastic process, Dynamic programming and Topology. His research investigates the connection between Theoretical computer science and topics such as Random graph that intersect with problems in Random variable, Sign, Cluster analysis and Node.
His main research concerns Mathematical optimization, Distributed computing, Control theory, Computer network and Theoretical computer science. His Mathematical optimization study combines topics in areas such as Graph and Nonlinear programming. His work carried out in the field of Distributed computing brings together such families of science as Budget constraint, Task, Modeling and simulation, Function and Provisioning.
The concepts of his Control theory study are interwoven with issues in Value of information, Encoder, Dynamic programming and Bounded function. Many of his studies on Computer network involve topics that are commonly interrelated, such as Wireless. The Theoretical computer science study combines topics in areas such as Control system, Cluster analysis, Motion planning and Random variable.
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.
On trust models and trust evaluation metrics for ad hoc networks
G. Theodorakopoulos;J.S. Baras.
IEEE Journal on Selected Areas in Communications (2006)
Modeling and control of hysteresis in magnetostrictive actuators
Xiaobo Tan;John S. Baras.
ATEMU: a fine-grained sensor network simulator
J. Polley;D. Blazakis;J. McGee;D. Rusk.
sensor, mesh and ad hoc communications and networks (2004)
On Trust Establishment in Mobile Ad-Hoc Networks
Laurent Eschenauer;Virgil D. Gligor;John S. Baras.
international workshop on security (2002)
Trust evaluation in ad-hoc networks
George Theodorakopoulos;John S. Baras.
workshop on wireless security (2004)
Toward a Science of Cyber–Physical System Integration
J. Sztipanovits;X. Koutsoukos;G. Karsai;N. Kottenstette.
Proceedings of the IEEE (2012)
A Probabilistic Emergent Routing Algorithm for Mobile Ad Hoc Networks
John S. Baras;Harsh Mehta.
modeling and optimization in mobile, ad-hoc and wireless networks (2003)
Adaptive identification and control of hysteresis in smart materials
Xiaobo Tan;J.S. Baras.
IEEE Transactions on Automatic Control (2005)
Risk-sensitive control and dynamic games for partially observed discrete-time nonlinear systems
M.R. James;J.S. Baras;R.J. Elliott.
IEEE Transactions on Automatic Control (1994)
Adaptive Data Broadcast in Hybrid Networks
Konstantinos Stathatos;Nick Roussopoulos;John S. Baras.
very large data bases (1997)
Profile was last updated on December 6th, 2021.
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