Anand Panangadan

Anand Panangadan headshot

Senior Research Associate
Ming Hsieh Department of Electrical Engineering
University of Southern California
3740 McClintock Ave, EEB 200
Los Angeles, CA 90089-2562

Email: anandvp AT usc DOT edu
Phone: 213-740-9129
Fax: 213-740-4418

Current Research

I co-supervise the Big Data Analytics group at USC with Viktor Prasanna and Charalampos (Harris) Chelmis. Our group's work addresses the challenge of rapidly analyzing large heterogeneous data sources together. The increasingly large number of sensors and equipment in enterprise-scale industries has led to a corresponding increase in the volume of data that is recorded in various databases. The variety of information sources is also expanding: from traditional relational databases to time series data, social network communications, text reports, and linked data available on the Web. These contain valuable information on processes from the field but there is currently no method to convert this raw data to useable information. Though integration of data across silo-ed databases has been recognized as a problem for a long time, it has proven to be difficult to accomplish due to the complexity of the data arrangement within databases, scarcity of metadata that describe the content, lack of a direct mapping between related entities across databases, and the several types of data represented within a database. We are developing a data integration framework for automatically discovering related entries across such diverse data stores. Our approach is based on pattern matching across entities in different databases (relational and Semantic Web ontologies). We are also developing methods to extract key information (events) from different types of data, including time-series data, and free-form text such as from social networks. The goal is to develop the technology to enable data scientists to rapidly link diverse data sets even with little understanding of their schema and then data mine for interesting patterns across these sources.

The group's work is largely supported by the USC-Chevron Center for Interactive Smart Oilfield Technologies.

Current conference organization

International Workshop on Hardware Accelerated Data Mining (HADM'15) at IEEE International Conference on Data Mining (ICDM), 2015

2nd International Workshop on Scalable Computing For Real-Time Big Data Applications (SCRAMBL'15) at 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2015

Previous work

I was a Research Specialist at the Saban Research Institute of the Children's Hospital Los Angeles from 2004 to 2012 and a post-doctoral affiliate at NASA's Jet Propulsion Laboratory. During this time, I worked on resource optimization in embedded sensor networks (including body sensor networks).

I was a post-doctoral researcher at the Robotics Research Lab of Prof. Maja Mataric and Prof. Gaurav Sukhatme. While there, I worked on modeling human activity recorded using laser range-finders.

I worked with Prof. Adnan Darwiche at the UCLA Computer Science Department on embedding reasoning algorithms based on efficient representations of propositional logic into a Sony Aibo robot.

My Ph.D. dissertation work under Prof. Michael G. Dyer. demonstrated how agents built with a connectionist architecture could construct arbitrary physical structures in a simulated environment.

List of my publications


My bio

Last modified on March 4, 2013