Seyedsina Nabavirazavi

Seyedsina Nabavirazavi is currently a Ph.D. student at Florida International University, USA. He received his B.Sc. degree in computer engineering from the University of Tehran.  His research interests include applied machine learning, fault detection, and the Internet of Things security.

He is a machine learning programmer with high skills in Python, TensorFlow, PyTorch, and the Flower library, and he has engaged in multiple research projects at ASPA, as outlined below:

• Enhancing federated learning robustness through randomization and mixture.

• Impact of aggregation function randomization against model poisoning in federated learning.

• Model poisoning attack against federated learning with adaptive aggregation.

• Lightweight Malicious Packet Classifier for IoT Networks.

• LAKEE: A Lightweight Authenticated Key Exchange Protocol for Power Constrained Devices.