Background
Nath is an Applied Scientist at Amazon Alexa. His works include building automatic speech recoginition systems, federated learning. Prior to this, a machine learning scientist in the Information Sciences (CCS-3) group at LANL. His works on high performance computing (HPC), performance modeling, natural language processing, deep/machine learning and high perfomance linear algebra (matrix and tensor decompositions).
He worked on a couple of interesting projects in machine learning. One is nonnegative matrix and/or tensor factorizations with unspuervised learning and distributed computing. Next build parameterized software/hardware models for performance prediction while employing probabilistic learning. Another intersting project is NLP with deep learning for Cancer pathology reports.
I am driven to explore the unfamiliar terrains (both scientifically and personally). May be inspired by (or that’s how I am born!!!) “The Road Not Taken” – Robert Frost.
Interests
- Automatic Speech Recognition,
- High Performance Computing,
- Nonnegative Matrix/Tensor Factorizations,
- NLP, Deep/Machine Learning,
- Performance Modeling,
- Evolutionary Computing (EC)
Education
-
PhD in Computer Science, 2015
University of Limerick
-
MSc in Web Technologies, 2011
National College of Ireland
-
BTech in Information Technology, 2010
Jawaharlal Nehru Technological University
