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Welcome to the Wiki page for Prof. Viktor Prasanna's Groups (PGroup)
Research Groups
FPGA/Parallel Computing Group
Research in the parallel computing group is focused on solving problems from high speed network processing, data intensive computing and high performance computing. Examples are virtualized packet classification and deep packet inspection for the Internet backbone, large-scale pattern matching, belief propagation and graph inference. We investigate new algorithms and algorithm-architecture mapping to optimize our solutions on parallel and/or heterogeneous architectures including Field-Programmable Gate Arrays (FPGA), general purpose multi-core (CPU) and graphics (GPU) processors.
Smart Oilfield Group
Integrated Optimization (IO) is a fast-paced research project that seeks to apply core computer science concepts to challenging problems in the oilfield domain. Specifically, our objective is a creative synthesis of ideas from a wide variety of domains -- software architecture, distributed and grid computing, artificial intelligence, semantic web, etc. -- in an attempt to create a knowledge management and workflow management layer for oilfield applications. Smart Oil Field Page | Publications | Members
Smart Grid Group
The group is engaged in research into the software components needed to build a Smart Power Grid, as part of the DOE sponsored Los Angeles Smart Grid Demonstration project. It brings together techniques from complex event and stream processing, machine learning and semantic information integration to build a scalable software architecture on a Cloud platform that will support the next generation of Smart Grid applications. The project explores the informatics challenges and possibilities that can transform a physical power grid into a cyber-physical smart grid that actively informs, engages and responds to millions of consumers to achieve a sustainable ecosystem. This five year project is conducting innovative research into scalable information systems, data intensive applications, cyber-security and consumer behavior to identify, deploy and demonstrate effective tools and technology that will make the Los Angeles power grid a smart grid. Smart Grid Home || Machine Learning | Complex Event Processing | Cloud Computing || Publications
Team Members
- Current Members (Spring 2012)
- Past Members
Contact
- Viktor K. Prasanna
- Professor of Electrical Engineering & Computer Science
- Ming Hsieh Department of Electrical Engineering
- University of Southern California
- 3740 McClintock Ave, EEB 200C, Los Angeles, CA 90089-2562.
- Ph: (213) 740-4483 | Fax: (213) 740-4418 | E-Mail: prasanna AT usc.edu
- Web page: http://ceng.usc.edu/~prasanna
Openings
- Research Positions
We have openings for highly motivated students interested in pursuing a Ph.D. in any of the above topic areas. Research internships are also available for highly qualified M.S. students. Send an email with a brief research statement, the group/project you are interested in, copies of publications (if any) and your detailed CV including courses taken and grades obtained to Prof.Prasanna. Research assistants receive a competitive stipend plus paid tuition. Applicants can apply to either the Computer Science department or to the Computer Engineering program within the Electrical Engineering department.
