Members
Ebrahim Fard
PhD Candidate, Electrical and Computer Engineering (2023-present)
Designs, implements and evaluates a power-efficient microarchitecture for sparse deep neural networks. Recent work includes FlexPWL, a flexible, scalable and multiplier-free approach for activation functions on FPGA.
Francis Ferri
PhD Student
Develops efficient deep learning for computer vision, including pose estimation for animal monitoring and livestock welfare.
Gabriel Guerra
PhD Student, Electrical and Computer Engineering (2024-present)
Applies deep learning to natural language processing, particularly named-entity recognition over scientific text, and to AI for industry including predictive maintenance, alongside continuing work in robotics.
Maria Kousar
PhD Student, Biomedical Engineering (2026-present)
Applies deep learning to biomedical engineering, including signal processing and sequential modeling for clinical data analysis.
Mohammadreza Mostafavi
PhD Student, Electrical Engineering (2024-present)
Works on biomedical signal and image processing, and on vision-based livestock monitoring systems using artificial intelligence and computer vision.
Sayed Muhsin
PhD Student
Focuses on the compression and acceleration of AI models, including efficient transformers and channel decoders.
Stephany Valarezo-Plaza
PhD Student
Develops efficient deep learning for edge deployment, spanning crop yield prediction from drone hyperspectral imagery, transformer compression and combustion instability prediction.
YoungJoo Hyun
PhD Student
Works on computer vision and signal processing for manufacturing, with a focus on AI-based anomaly detection, visual inspection and condition monitoring.