Fen FANG personal page



Scientist at the Institute for Infocomm Research, A*STAR


  • Position

Scientist, A*STAR, Institute for Infocomm Research (Visual Intelligence Dept)

Computer Vision, Robot Vision, Deep Learning, Reinforcement learning, Object Detection.


  • Research topics with IPAL

Intended projects:

Using Transmission Electron Microscope (TEM), a sample at micro or nano scale can be captured by a camera or visible through a phosphor screen. A good sample image relies on adjustment on the parameters of TEM.  Thus, TEM is usually operated by domain expert for capturing desired sample images, as it has multiple and complex parameters. Applying AI technique to assist parameters adjustment on TEM can alleviate the requirement of domain expertise and reduce much operating time. Since there is no ground truth to guide the parameter’s tuning and each operation needs user’s feedback, reinforcement learning (RL) is a promising AI technique to tackle the problem of learning the parameter’s tuning model.


  • Collaborators at IPAL


Potential collaborator: Loïc Grossetête


  • Supervisions at IPAL

Research topic: Design a RL model training protocol to implement TEM parameter’s adjustment toward taking desired images.

Expected skills:  At least one machine learning framework (e.g. Pytorch), TEM parameters tuning, basic knowledge of Reinforcement Learning.


  • Link to webpage


You can know more about me here: https://research.a-star.edu.sg/researcher/fen-fang/