Prof. Dr. Gabor Karsai (Institute of Software-Integrated Systems, Vanderbilt University)
23. Januar 2014
Fractionated spacecraft – a cluster of wirelessly connected, simple satellites perform high-resolution sensing functions by running distributed sensor fusion applications. Coordinated swarms of networked Unmanned Aerial Vehicles carry out data collection damage assess-ment flights over large geographical areas affected by weather events. Fleets of Unmanned Underwater Vehicles collect climate change data from oceans with the help of sensor fusion and motion control applications. Smart data acquisition and control devices implement dis-tributed sensing and control functions for the Smart Electric Grid. Architecting software for such ‘cyber-physical cloud computing platforms’ built from mobile embedded devices incurs many challenges not present in traditional cloud computing. Effective management of con-strained resources, application isolation without adversely affecting performance is neces-sary. Such cyber-physical system architectures pose novel software challenges because the hardware platform is inherently distributed, with highly fluctuating connectivity among the modules. The talk will focus on the research challenges, and on the architecture, the capabili-ties, and the model-driven development and run-time environment for the software platform.
Dr. Gabor Karsai is a Professor of Electrical Engineering and Computer Science at Vander-bilt University, and Senior Research Scientist at the Institute for Software-Integrated Sys-tems. He conducts research in the design and implementation of cyber-physical systems, in programming tools for model-driven development environments, in the theory and practice of model-integrated computing, and in real-time fault diagnostics. He received his B.Sc., M.Sc., and Dr. Tech degrees from the Technical University of Budapest, Hungary, in 1982, 1984 and 1988, respectively, and his PhD from Vanderbilt University in 1988. Dr. Karsai has worked several large DARPA projects in the recent past: advanced scheduling and resource management algorithms, fault-adaptive control technology that has been transitioned into aerospace programs, and model-based integration of embedded systems whose resulting tools are being used in embedded software development toolchains.