Background:
Ramanathan is a Ph.D student in the Department of EECS, Northwestern
University under the supervision of Prof.Alok Choudhary. Earlier, he
graduated with a B.Tech (Honors) in Computer Science and Engineering from
the Indian Institute of Technology (IIT) Kharagpur. During the course of his
studies, he has interned in Google (Summer 2007), IBM India Research Labs
(Summer 2004) and Chennai Mathematical Institute (Summer 2003).
Research Interests:
Ramanathan is primarily interested in Data Mining and its applications in
Bioinformatics and Computer Architecture.
- Knowledge extraction from Biomedical Literature
As the sizes of Biomedical literature databases like PubMed
increase exponentially, it becomes important to develop techniques and
systems which are able to efficiently and accurately extract information
about biological entities. I am interested in developing text mining
techniques to find protein-protein interactions in Biomedical literature
- Acceleration of Data Mining Applications
Data mining is the process of gathering useful information from
vast amounts of data. As data mining algorithms become increasingly complex,
and data sets grow exponentially, the performance of data mining systems
suffer. My research focuses on understanding the bottlenecks in data mining
applications, and discovering hardware/software techniques to improve
performance of data mining systems and algorithms.
Ram's Publications:
