Niketan Pansare is a Senior Software Engineer at IBM Research Almaden, where he works on advanced information management systems that include analytics, distributed data processing platforms, hardware acceleration, as well as the application of it in mobile and cloud. At a high level, his research involves developing statistical models and building systems for analyzing large-scale and heterogenous data. He graduated from PhD in Computer Science from Rice University where he was advised by Dr. Chris Jermaine. His PhD thesis is titled “Large-Scale Online Aggregation Via Distributed Systems”.
A brief summary of his projects/publications are:
- Apache SystemML provides declarative large-scale machine learning (ML) that aims at flexible specification of ML algorithms and automatic generation of hybrid runtime plans ranging from single node, in-memory computations, to distributed computations on Apache Hadoop and Apache Spark.
- Spoken Topic Model is a novel topic model for spoken language that incorporates a statistical model of speech-to-text software behavior .
- The paper Pansare et al, VLDB 2011 describes how online aggregation can be built into a MapReduce system for large-scale data processing.
- Datapath system is a relational multi-query database system capable of providing single-query performance even for large number of parallel and possibly different queries.
Before coming to Rice university, I got my Bachelors in Engineering from VJTI, Mumbai and my Masters in Computer Engineering from University of Florida. After my undergrad, I worked as software developer for MAQSoftware, Mumbai for 8 months and have also done summer internships with Microsoft, Seattle and IBM Research, Delhi. I am recipient of IBM PhD fellowship for the year 2013-14 and was first overall coordinator of Rice Computer Science Graduate Student Association (CS GSA). During my third year at Rice, I was President and (hence de-facto) captain of my university cricket team (RCC) and also was in the committee of Indian Student Association at Rice (ISAR).