Our Team
At the Security, Privacy, and Intelligence for Edge Devices (SPEED) Lab, our vision is to drive transformative research in the domain of federated learning, large language models, vision-language models, cybersecurity, and multi-modality. We aspire to pioneer advancements that redefine the boundaries of AI and machine learning, while ensuring the security and privacy of distributed and decentralized systems. Through our interdisciplinary research, we aim to build robust, efficient, and intelligent solutions that empower robust and secure decision-making in edge environments, fostering innovation that benefits society in an increasingly interconnected world.
Lab Director
Assistant Professor (Tenure-track )
šØāš« Iām Ahmed Imteaj, a tenure-track Assistant Professor in the Department of Electrical Engineering and Computer Science at Florida Atlantic University. šļø I also serve as a Faculty Fellow at the Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) at FAU. š I am the Founding Director of the SPEED Lab (š Security | š”ļø Privacy | š¤ Intelligence for Edge Devices), where my team and I push the boundaries of AI, cybersecurity, and intelligent edge systems. š Our mission: to design next-generation technologies that are powerful, trustworthy, secure, and resilient ā bridging the gap between cutting-edge research and real-world impact.
Ph.D. Students
Ph.D. Students (Co-Advising)
Research Thesis/Project: Federated Learning for resource constraint edge devices
Masters Students
Research Thesis/Project: Computer Vision, LLMs, UAVs
Research Thesis/Project: Identification of Violent Scene from Human Action and Pose Estimation
Research Thesis/Project: Developing Large Language Models for Personalized Applications
Research Thesis/Project: Efficient Fine-tuning of Large-Language Models
Research Thesis/Project: Physics Informed Neural Networks
Research Thesis/Project: Crime Analytics with Advanced Machine Learning
SPEED Lab Alumni
Research Thesis/Project: Audio Processing, Federated LEarning.
Research Thesis/Project: Cybersecurity and Pattern recorgnition.
Research Thesis/Project: Predicting Road Traffic through Federated Learning with Sentiment Analysis on Social Media Data
Research Thesis/Project: Assessing Vulnerability in Variational Autoencoder GANs
Research Thesis/Project: Intrusion Detection with Federated Reinforcement Learning
Research Thesis/Project: Skin Cancer Detection through Transfer Learning Algorithm
Research Thesis/Project: Drone Swarming, Distributed Streaming and Learning