Iulia-Alexandra Lungu

Position:
PhD Student -- ended Feb 2020
Email:
Work phone:
54028
As a Bioinformatics (BSc) and Computational Neuroscience (MSc) graduate, I am interested in designing general-purpose artificial intelligence solutions. I like to draw inspiration from the brain to develop novel theoretical and computational models that aim at closing the gap between human and artificial intelligence. Current research topics include deep reinforcement learning and artificial neural networks, as well as coupling these models with event-based sensors such as the DVS neuromorphic camera. As part of the Neuromorphic Processor Project I get to work in close contact with digital designers in order to develop joint hardware-software packages for neural network acceleration.

Supervisor

Michael Pfeiffer

Spin-Off Companies

Publications

2020

  • Lungu, I. A., Aimar, A., Hu, Y. , Delbruck, T., and Liu, S-C. Siamese networks for few-shot learning on edge embedded devices, IEEE Journal on Emerging and Selected Topics in Circuits and Systems , 10:(4) 488-497, 2020
  • Lungu, I. A., Hu, Y. and Liu, S-C. Multi-resolution Siamese networks for one-shot learning, 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems 183-187, 2020

2019

2018

2017