Irving Fang

I am a graduate student at AI4CE Lab at 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 painting. FPGAs are really cool btw.

Email  /  CV  /  Google Scholar  /  Github

I am interested in multi-modal robotic perception (tactile, visual, biosignal, etc.) and physics-informed robot learning. I want to utilize learning-based and classical methods to better leverage multi-modality data for solving robotics problems, especially manipulation.
I am also interested in the mathematical theories behind deep learning and reinforcement learning, and designing better sensors for robotic perception

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,