Events Calendar

Adaptive Computing for a Dynamic, Data-driven World

Speaker: Dr. Yogesh Simmhan, Ming Hsieh Department of Electrical Engineering, University of Southern California

Abstract: The pervasiveness of technology is providing the unprecedented ability to observe the physical, social and cyber worlds, and offering access to massive datasets that can be used to manage and optimize these systems. Advances in computing are democratizing access to large scale, distributed resources on Cloud platforms, on-demand. The successful fusion of data availability with computational capability has the potential for disruptive advances for society; from personalized healthcare to sustainable energy to informed policies.
As an exemplar of this fusion, this talk will explore two facets of research into computational and informatics systems that are being leveraged for the Los Angeles Smart Grid Project: (1) Adaptive computing on Clouds for dynamic data, and (2) Scalable data analytics for decision support.
The growing data deluge is both dynamic and continuous, streaming in from smart power meters and social networks. Our research examines compositional programming frameworks that can adapt to changing data flows and evolving application needs, while ensuring resilience on Cloud infrastructure. We also investigate complex event pattern detection over moving data to trigger responses such as demand curtailment in a power grid.
The overwhelming size and diversity of data require automated analysis. Machine-learnt models can help forecast power demand and adapt to changing usage profiles. Analysis of social network graphs offers additional insight into load shaping strategies. We discuss the use of Map-Reduce and its variants for large scale data analytics on Clouds to support decision making in the USC campus microgrid.


Biography: : Yogesh Simmhan is a Senior Research Associate at the Ming Hsieh Department of Electrical Engineering and the Center for Energy Informatics, University of Southern California. His research focuses on adaptive programming frameworks, dynamic data management, and large scale data analytics on emerging platforms like Clouds, with the goal of building scalable, resilient software systems. Yogesh serves as a project manager in the Los Angeles Smart Grid Project where he leads research into innovative data driven architectures for the USC microgrid that will translate into optimized demand-response in the city's smart grid. Yogesh has a Ph.D. in Computer Science from Indiana University and was previously with Microsoft Research.

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

Audiences: Everyone Is Invited

Contact: Estela Lopez