Thursday December 11, 2025 | 12:00PM - 1:00PM | Via Zoom | Free

Series of Virtual Technical & Professionals Talks

Talk II by Dr. Dimah Dera

Title of the Talk: Trustworthy and Adaptive AI for Imaging Systems

Abstract: This work advances the development of trustworthy and adaptive artificial intelligence for imaging applications. Building on Bayesian uncertainty estimation and probabilistic learning, the proposed framework enables imaging systems to assess their confidence, adapt to changing environments, and maintain reliability under data drift. Applications span medical image segmentation, remote-sensing anomaly detection, and autonomous vision, where uncertainty-guided adaptation enhances safety, interpretability, and robustness. The approach integrates statistical signal processing with deep learning to create imaging-based AI systems that are self-aware, resilient, and transparent in real-world conditions.

Speaker Bio: Dimah Dera is the Frederick and Anna B. Wiedman II Professor at the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology. She holds a Ph.D. and M.S. in Electrical and Computer Engineering and an M.A. in Mathematics from Rowan University. Dr. Dera received the NSF CISE Research Initiation Initiative (CRII) Award in 2023 and an NSF REU supplement in 2024 for her work on robust and trustworthy machine learning. Her research focuses on developing adaptive and uncertainty-aware AI systems grounded in Bayesian theory and statistical signal processing for applications in healthcare, remote sensing, and autonomous imaging. She is a recipient of several honors, including the IEEE Best Paper Award (2019), the NJ Tech Council STEM Innovator to Watch Award (2019), and the IEEE Benjamin Franklin Key Award (2021).

Register here: https://events.vtools.ieee.org/m/514664