I'm an enthusiastic and dedicated research scholar with machine learning background. My current research interests include neural networks, deep learning, machine learning, progressive learning, online learning, classification, regression, and time-series prediction. During my PhD, I introduced and developed progressive learning technique (PLT) for machine learning classification. The PLT is the next logical step in the sequence of batch and online learning. It is capable of learning multiple new classes on the run by automatically reconfiguring the network and yet retains the knowledge learnt thus far. I've also developed online universal classifier that can perform binary, multi-class and multi-label classification.
Various machine learning techniques, algorithms and tools
2012 - 2016
Nanyang Technological University
Doctor of Philosophy
Thesis Title: Human-inspired Progressive Learning Techniques for Classification Problems.
Supervisor: Prof. Er Meng Joo
Binary, Multi-class and Multi-label Classification
Learning from sequentially arriving data streams
Learning new classes/labels on the run by retaining the previously learnt knowledge
2008 - 2012
P.S.G. College of Technology
Bachelor of Engineering
Electronics and Communication Engineering
Single layered and multi layered neural networks for classification, regression and time-series analysis