[UCI-Calit2] Computer Science Seminar May 2

[Anna Lynn Spitzer]

Title:                  Embracing Complexity: A Fractal Calculus Approach to the Modeling and Optimization of Cyber-Physical Systems

Speaker:            Paul Bogdan, USC

Time:                 11 a.m.

Date:                  Friday May 2, 2014

Location:           Donald Bren Hall, Room 6011

Abstract: Cyber-physical systems (CPS) constitute a new generation of networked embedded systems that interweave computation, communication and control to facilitate our interaction with the physical world. They will stand at the foundation of novel smart healthcare systems, which monitor individual physiological process across time and enable accurate disease prediction and health assessment. However, existing approaches to their modeling and optimization ignore important mathematical characteristics (e.g., non-stationarity, fractality). To face these challenges, we embrace the complexity of biological systems: instead of skirting around their non-linear variability, we propose a statistical physics-inspired approach to CPS, which captures Network-on-Chip (NoC) traffic characteristics via a dynamical master equation. The first part of the talk is dedicated to explaining the benefits of this new approach, which facilitates a more accurate state-space modeling of NoC workloads, contributes to power savings and opens new possibilities for the dynamic optimization of large-scale systems. The second part focuses on a concrete example of a mathematical model based on fractional calculus concepts, which takes into account the dynamics of blood glucose characteristics (e.g., time-.dependent fractal behavior) and can be used to design an artificial pancreas that regulates insulin injection.

Short Bio: Paul Bogdan is assistant professor in the Ming Hsieh Department of Electrical Engineering at the University of Southern California. His work has been recognized with a number of distinctions, including the 2012 A.G. Jordan Award from the Electrical and Computer Engineering Department, Carnegie Mellon University for outstanding Ph.D. thesis and service, the 2012 Best Paper Award from the Networks-on-Chip Symposium (NOCS), the 2012 D.O. Pederson Best Paper Award from IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, the 2012 Best Paper Award from the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), the 2013 Best Paper Award from the 18th Asia and South Pacific Design Automation Conference, and the 2009 Roberto Rocca Ph.D. Fellowship. His research interests include performance analysis and design methodologies for multicore systems, the theoretical foundations of cyber-physical systems, the modeling and analysis of bio-inspired computing, and the applications of statistical physics to biological systems and regenerative medicine.

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