CV

Education

• B.S. in Computational Mathematics, Louisiana State University, 2019
• Ph.D in Electrical and Computer Engineering, University of Arizona, 2026 (expected)

Work experience

• Graduate Research Assistant, June 2021 - Present
  • University of Central Florida (2021 - 2022)
  • University of Arizona (2022 - Present)
  • Advisor: Abhijit Mahalanobis
• Research Intern, May 2024 - August 2024
  • Airforce Research Lab (AFRL)
• Data Scientist, February 2020 - July 2021
  • Naval Information Warfare Center (NIWC) Atlantic

Publications

Utilization of Data Augmentation Techniques to Enhance Learning with Sparse Datasets

R. Yarnell, D. Brignac, Y. Fu and R. F. DeMara, "Utilization of Data Augmentation Techniques to Enhance Learning with Sparse Datasets," 2022 5th International Conference on Artificial Intelligence for Industries (AI4I), Laguna Hills, CA, USA, 2022, doi: 10.1109/AI4I54798.2022.00025.

Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning

Brignac, Daniel and Lobo, Niels and Mahalanobis, Abhijit, "Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning,"2023 Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops.

Cascading Unknown Detection with Known Classification for Open Set Recognition

Brignac, Daniel and Mahalanobis, Abhijit, "Cascading Unknown Detection with Known Classification for Open Set Recognition,"2024 International Conference on Image Processing.

Simultaneous Classification of Objects with Unknown Rejection Using Infra-Red Imagery

Cuellar, A.; Brignac, D.; Mahalanobis, A.; Mikhael, W. Simultaneous Classification of Objects with Unknown Rejection (SCOUR) Using Infra-Red Sensor Imagery. Sensors 2025, 25, 492.

CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation

Berian, A., Brignac, D., Wu, J., Daba, N., & Mahalanobis, A. CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2025.

Joint Classification and Unknown Detection using Class Conditional Probability Calibration

D Brignac, A Cuellar, B Latibari, A Mahalanobis, "Joint Classification and Unknown Detection using Class Conditional Probability Calibration,"2025 International Symposium on Signals, Circuits and Systems.