Sima Sinaei

Sima does research in applied artificial intelligence.
She has a doctorate in computer science. Her research focus is on the field of EdgeAI, where she combines the improvement of machine learning algorithms and systems, with the development of optimized embedded computing platforms, in order to enable future AI applications at the edge and in several industrial domains such as transportation, digital life, autonomous vehicle, and wearable healthcare applications.
She has recently been researching Distributed Artificial Intelligence systems and federated learning to preserve data integrity. Machine learning algorithms can be trained locally at the data owner without sharing their private data. The local models can then be combined with federated machine learning into a global model. In this way, knowledge can be shared between individuals or organizations without needing access to each other's data.