Dimah Dera

Dimah Dera is an Endowed Assistant Professor at the Chester F. Carlson Center for Imaging Science, College of Science, Rochester Institute of Technology (RIT). She holds a Ph.D. and M.S. in Electrical and Computer Engineering, and an M.A. in Mathematics from Rowan University. Her research focuses on robust and trustworthy machine learning, integrating Bayesian theory and statistical signal processing into modern ML frameworks for healthcare, remote sensing, and surveillance systems. She is an NVIDIA Deep Learning Institute University Ambassador and active in IEEE Signal Processing and ACM SIGHPC.

Dr. Dera has received prestigious awards including the NSF CRII Award (2023), NSF REU Supplement (2024), and IEEE Benjamin Franklin Key Award (2021). Her work emphasizes Bayesian uncertainty propagation for robust AI systems, with applications in sequential time-series analysis and medical imaging.

Her scholarly contributions span robust image classification, uncertainty-aware neural networks, and Bayesian vision transformers. Teaching includes courses like Mathematical Methods for Imaging and Image Processing & Computer Vision II. She actively mentors students and leads research initiatives funded by NSF and industry collaborations.