Our Team
At the Secure Prediction, Edge AI, and LLM 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.
Lab Director
Assistant Professor (Tenure-track )
Dr. Ahmed Imteaj is a tenure-track Assistant Professor in the Department of Electrical Engineering and Computer Science at Florida Atlantic University, where he also serves as an I SENSE Faculty Fellow. Dr. Imteaj is the director of the Secure Prediction, Edge AI, and Multimodal LLM Lab (SPEED Lab). His research focuses on building secure, robust, and efficient AI systems, with an emphasis on Large Vision-Language Models, Federated Learning, Cybersecurity and Quantum AI. Dr. Imteaj is the recipient of multiple competitive research awards, including the NSF CRII Award, the NSF NAIRR Pilot, DHS CINA and ORAU Research Innovation Partnerships Grant.
Ph.D. Students
Ph.D. Students (Co-Advising)
Research Thesis/Project: Federated Learning for resource constraint edge devices
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
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