dslab.usc.edu
Safe Connected
http://dslab.usc.edu/umbrella.php
Crime Modeling, Data Integration, Deep Learning, Time Series Analysis, Optimization, Network Science.
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Smart oil field
http://dslab.usc.edu/smartoilfield.php
The Smart Oil Fields group is dedicated to researching and developing software and models for improving the efficiency of the operation of oil fields. We have frequent communication with people working in the field to understand their needs and work on applications that have high practical value. This work is funded by Chevron as part of CiSoft. Deep Learning, Text Analytics, Time Series Analysis, Data Integration, Event Modeling. Smart Oil Field Safety Net (SOSNet). We are given multiple heterogeneous d...
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Projects
http://dslab.usc.edu/Projects.php
Viktor K. Prasanna. Professor of EE and CS, USC. University of Southern California.
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People
http://dslab.usc.edu/people.php
The DS Lab Team. Viktor K. Prasanna. Professor of EE and CS, USC. University of Southern California.
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Smart Grid
http://dslab.usc.edu/smartgrid.php
The Smart Grid group is conducting research into informatics-driven scalable software architectures to address realtime power management in the domain of Smart Power Grids. This work is funded by the US Department of Energy as part of the five-year Los Angeles Smart Grid Demonstration project. This cyberphysical domain provides unique challenges to many existing computer science algorithms, approaches and frameworks due to the data complexity, dynamism, scale and need for realtime response. In our resear...
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Social networks
http://dslab.usc.edu/socialnetworks.php
Social Networks subgroup deals with problems concerning real-life networks. We develop scalable algorithms for networks that apply to applications ranging from viral marketing to product recommendations. Social Network Analysis, Information Diffusion, Influence Maximization, Immunization, Recommendation Systems, Link Prediction, Graph Embedding. Influence Maximization with a Single Cascade. Influence Maximization on Signed Networks. Ajitesh Srivastava, Charalampos Chelmis and Viktor K. Prasanna,. Real-ti...
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Prospective students
http://dslab.usc.edu/prospective.php
We constantly look for applicants with strong mathematical background as PhD students. We expect the applicants to know linear algebra and probability theory. Familiarity with optimization (linear and non-linear programming) and analysis of algorithms is a big plus. Several current projects are described in Research Projects. Each research assistant will receive a competitive stipend plus paid tuition. And http:/ ee.usc.edu/admission/graduate/grad apply/. 1) Biographical and contact information. Please e...
halcyon.usc.edu
Professor Viktor Prasanna's Homepage
http://halcyon.usc.edu/~pk/prasannawebsite
VIKTOR K. PRASANNA. Charles Lee Powell Chair in Engineering. Director, Center for Energy Informatics. Director, Computer Engineering Division. Professor of Electrical Engineering, Computer Engineering Division. And Professor of Computer Science. Viktor K. Prasanna (V. K. Prasanna Kumar) is Charles Lee Powell Chair in Engineering. And is Professor of Electrical Engineering and Professor of Computer Science. At the University of Southern California ( USC. MS from the School of Automation. Prasanna has publ...
dslab.usc.edu
Publications
http://dslab.usc.edu/publications.php
Recent Publications of Data Science Lab. Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Arash S. Tehrani, and Viktor K. Prasanna. Optimal Customer Targeting for Sustainable Demand Response in Smart Grids,. International Conference on Computational Science, 2016. Saima Aman, Charalampos Chelmis and Viktor Prasanna,. Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble,. Ajitesh Srivastava, Charalampos Chelmis and Viktor K. Prasanna,. IEEE Future Technologies Conference...
