I, Shinjan Dutta, am a PhD candidate in the Electrical Engineering program at Northwestern University. I am curious and driven to innovate in the field of Artificial Intellegince.

The coursework from my current and past programs like Advanced Computer Vision, Machine Learning, Neural Networks and Fuzzy Logic, Image Processing, Data Analytics, Statistical Pattern Recognition etc, helped in developing my expertise in areas of programming and will only strengthen it with the upcoming courses like, Deep Reinforcement Learning and Advanced Topics in Deep Learning.

My internships and projects helped me gain practical exposure to the current world problems that can be solved using machine learning. For my final year undergrad project, titled Audio Assistance for the Visually Impaired, I worked on making a tool to help the blind navigate and walk without difficulty. It acted as a guidance system with an audio output telling the blind about his surroundings using the input from the cameras attached to a cap. This project was based on object detection using the YOLO Algorithm. The distance calculation was done using monocular vision in order to give the visually impaired approximate distances of all the detected objects. For my advanced computer vision course project, I’m working on Image inpainting where I using the k nearest pixels to any pixel that needs to be predicted, using a LSTM network and then using position blending to preserve the intensities.

I was lucky to be a part of a start-up named Home Drone as an intern where I worked on making drones fully automated and smarter in order to develop a marketable product for specific applications. I was also part of a ML research internship under Professor J H Nirmal which involved emotion detection using facial images as well as speech.