Michael Cardei

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
Apr 20, 2025 | Paper titled Neuro-symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation accepted to NeuS 2025 and selected for Oral Presentation! |
---|---|
Apr 10, 2025 | Awarded the NSF GRFP Honorable Mention - 2025 |
Jan 10, 2025 | Paper titled Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion accepted to NAACL 2025 and selected for Oral Presentation! |
Aug 10, 2024 | I have begun my Ph.D. in Computer Science at the University of Virginia, where I research Responsible Generative AI in the RAISE Lab under the guidance of Dr. Fioretto |
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). |
selected publications
- Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton AlgorithmJournal of Healthcare Informatics Research, 2024