I am an Applied Scientist at Amazon. I work on the development of Reliable Methods for Smart Home Automation. My research is broadly in the areas of Reliable Tensor Data Analysis, Robust Subspace Learning & Tracking, Deep Learning Model Compression, and Natural Language Processing. Recently, I obtained my PhD in Electrical and Computer Engineering from the  Rochester Institute of Technology, Rochester, New York, USA, under the guidance of Dr. Panos P. Markopoulos


Industry Experience:

PhD Research Areas:

Formulation and development of theory and algorithms for Machine Learning and Signal Processing. Tensor processing methods for convolutional neural networks (CNNs ) compression and understanding. Specific areas include: