I am a Senior Researcher and Engineer at Qualcomm developing efficient computer vision, machine learning algorithms. My current work is mainly in the area of image, language and video processing, understanding and developing generative models (vision and language).
Before joining Qualcomm, I was a postdoctoral researcher at Northeastern University working with Prof. Jennifer Dy, Prof. Octavia Camps and Prof. Dana H Brooks. I completed my PhD in Computing and Information Sciences from Rochester Institute of Technology under advisement of Prof. Linwei Wang.
Research and Engineering
I love working in AI and machine learning. I love the richness and diversity of ideas in this field: ideas cross from everywhere like mathematics, physics, economics, computer science, statistics, electrical engineering, control and they melt in AI and ML. It feels amazing every time we realized how things are interconnected. And there is nothing I love more than connecting ideas that seem different but are actually the same or at least intricately related. Transitioning from academia to industry, I have started appreciating the importance of engineering more now. I feel humbled by this experience and thankful for the new perspective.
PhD in Computing and Information Science, 2020
Rochester Institute of Technology
BE in Electronics and Communication Engineering, 2012
Institute of Engineering
Can we learn meaningful representation from real world videos or biomedical signals ?
How to understand and improve generalization and robustness in deep networks?
Apply geometric information while solving inverse problem.
Apply probabilistic modeling, deep generative modeling and inference to solve inverse problem.
Apply smoothness based regularization to help semi supervised learning.
SOME THOUGHTS