Irving Fang

I am a Computer Science and Engineering PhD student at AI4CE Lab@NYU led by Prof. Chen Feng.

I obtained my bachelor's degree from UC Berkeley, double majoring in Data Science (Robotics Emphasis) and Mathematics, with minors in Japanese and EECS.
At UC Berkeley I was fortunate enough to work with Prof. Alice Agogino at her BEST Lab and Squishy Robotics.

During Summer 2022, I interned at Mitsubishi Electric Research Laboratories (MERL), working with Dr. Radu Corcodel on tactile sensing and deep reinforcement learning.

In my free time I enjoy playing with MCU/FPGA boards and GPU programming, although admittedly I haven't figured out a good way to integrate them with my research. I also enjoy literature, mostly modern and contemporary Japanese literature.

Email  /  CV  /  Google Scholar  /  Github

I am interested in multi-modal robotic perception (tactile, visual, biosignal, etc.), and perception algorithm that makes robots more viable in real life with better power efficiency, execution speed and so on.

I use tools like deep learning, neuromorphic computing, model predictive control and etc..

But most importantly, at the fundamental level, I am interested in research that can enhance human experiences instead of replacing humans.

A simple and effective framework for efficient and lightweight active visual exploration with only RGB images as input

A framework for optimizing the deployment of emergency sensors using Long Short-Term Memory (LSTM) Neural Network and Expected Value of Information (EVI)

The website is based on Dr. Jon Barron's source code,