Sima Sinaei
Senior Researcher
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Email
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Kista
ORCID
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 vehicles, smart buildings, 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.
Ask me about
Publications
Ask me about
Publications
- Privacy Enhancing Federated Learning for Predicting Energy Consumption in Smart…
- Enhancing Object Detection for Autonomous Machines in Private Construction Site…
- PRIV-DRIVE : Privacy-Ensured Federated Learning using Homomorphic Encryption fo…
- Anomaly detection based on LSTM and autoencoders using federated learning in sm…
- Integrating Federated Learning and Differential Privacy for Secure Anomaly Dete…
- Balancing privacy and performance in federated learning : A systematic literatu…
- Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emot…
- Privacy-preserving Federated Learning System for Fatigue Detection
- 6G Network for Connecting CPS and Industrial IoT (IIoT) : Chapter 2
- Hyperparameters Optimization for Federated Learning System : Speech Emotion Rec…