Student Projects

Here is a list of possible topics/projects in line with research interests in our lab. All the projects require programming/coding skills to explore various types of machine learning (ML - matrix factorization, manifold learning, etc) and deep learning (DL - CNN, RNN, Transformer, Deep Reinforcement Learning)) models. 

• Brain science. Possible projects include: 

  • Analyzing neural data recorded in animals and humans under different cognitive tasks. 

  • Using deep learning models to model the brain function.

• Brain Machine/Computer Interface (BMI/BCI). Possible projects include: 

  • Decoding neural signals to control simulated robotics.

  • Simulating robotics for vision, decision-making, and action/control.

• Comutational medicine. Possible projects include: 

  • Using DL models for molecules, such as proteins.

  • Using DL models for omics data, such as snRNA-seq.

• VR. Possible projects include: 

  • Visualizing data in VR headsets.

  • Programming VR experiments to explore human cognitive behaviors.

• FPGA. Possible projects include: 

  • Implementing DL models on FPGA.

  • Simulating brain models on FPGA.