Michael Cardei

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My name is Michael Cardei and I am Ph.D. student in Computer Science at the University of Virginia, where I work under the supervision of Professor Ferdinando Fioretto. As a member of the RAISE lab, my research is focused on Responsible Generative AI.

I completed my BS in Computer Science at the University of Florida, where I performed research under the guidance of Dr. My Thai in the areas of LLM’s, Federated Learning, and XAI. I was part of the 2023 Robotics Institute Summer Scholars program RISS at the Robotics Institute at Carnegie Mellon University where I worked on Computer Vision applications for Autonomous Vehicles under the guidance of Dr. Srinivasa Narasimhan. In the summer of 2022, I was part of the Wake Forest University, Center for Artificial Intelligence summer REU program under the guidance of Dr. Umit Topaloglu researching ML privacy and bias.

news

Feb 28, 2024 Full version of Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm is published in the Journal of Healthcare Informatics Research; available (here).
Aug 15, 2023 I have begun researching at the University of Florida under the guidance of Dr. My Thai.
Jun 26, 2023 Paper titled Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm is published at the 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI).
Jun 01, 2023 Research Intern at Carnegie Mellon University, Robotics Insitution RISS program, advised by Dr. Srinivasa Narasimhan (June - August)
Mar 08, 2023 New preprint titled Advancing Privacy in Deep Learning Through Data Transformations. Paper available here.

selected publications

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    Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm
    Seha Ay, Michael Cardei, Anne Meyer, and 1 more author
    Journal of Healthcare Informatics Research, 2024