Md Nasir Uddin Laskar

Deep Learning, Machine Learning, Computer Vision, and Computational Neuroscience

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I have joined Walmart Global Tech as a Staff Machine Learning Engineer, in Silicon Valley, California, USA. My work centers around classifying image types for e-commerce applications. We are developing systems to automatically detect and enhance the quality of images in the e-commerce sites. 

I have completed my PhD in Computer Science from the University of Miami, under the supervision of Professor Odelia Schwartz. My primary research focus was Deep Learning, Convolutional Neural Networks (CNNs) and their applicability to understand the brain visual system, specifically in the middle level areas of the brain. I studied statistical regularities in natural scenes and their processing in the brain from the computational perspective. My particular interest was the study of neural basis of object representation and recognition. Since CNNs have already proven to be a very good model for visual recognition, I have investigated the factors and computations that make them so powerful, aka the mathematics behind it, to understand their correspondence with the brain visual system.

I completed BSc in Computer Science and Engineering from the University of Dhaka, Bangladesh. My Masters is in Computer Engineering, from Artificial Intelligence Lab at Kyung Hee University, South Korea, under the supervision of Professor TaeChoong Chung.