PSU Mark
Eberly College of Science Mathematics Department

Meeting Details

For more information about this meeting, contact Hope Shaffer, Chun Liu.

Title:Adaptive Learning and Optimization for Machine Intelligence
Seminar:CCMA Luncheon Seminar
Speaker:Haibo He, University of Rhode Island
With the recent development of brain research and modern technologies, scientists and engineers will hopefully find efficient ways to develop brain- like intelligent systems that are highly robust, adaptive, scalable, and fault tolerant to uncertain and unstructured environments. Yet, developing such truly intelligent systems requires significant research on both fundamental understanding of brain intelligence as well as complex engineering design. This talk aims to present the recent research developments in computational intelligence to advance the machine intelligence research and explore their wide applications across different critical engineering domains. Specifically, this talk covers numerous aspects of the foundations and architectures of adaptive learning and control. The key objective is to achieve cognitive‐alike optimization and prediction capability through learning. An essential component of this talk is a recent development of a new adaptive dynamic programing (ADP) architecture for improved learning and optimization capability over time. This architecture integrates a hierarchical goal generator network to provide the system a more informative and detailed goal representation to guide its decision-making. Various real-world applications including smart grid, robotics, cyber‐physical systems, and big data analysis, will be presented to demonstrate the broader and far‐reaching applications of our research.

Room Reservation Information

Room Number:MB114
Date:10 / 27 / 2014
Time:12:20pm - 01:30pm