1. Armin Hadzic, Grace M Hwang, Kechen Zhang, Kevin M Schultz, and Joseph D Monaco. “Bayesian optimization of distributed neurodynamical controller models for spatial navigation” In: Array 2022, pp.100218. [PDF]

  2. Elise Buckley, Joseph D Monaco, Kevin M Schultz, Robert Chalmers, Armin Hadzic, Kechen Zhang, Grace M Hwang, and M Dwight Carr. “An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience” In: Proceedings 2022 IEEE Integrated STEM Education Conference (ISEC). March 2022. Best Paper Award [PDF]

  3. William Paul, Armin Hadzic, Neil Joshi, Fady Alajaji, and Philippe Burlina. “TARA: Training and Representation Alteration for AI Fairness and Domain Generalization” In: Neural Computation. 2022, pp.1-38. [PDF]

  4. Ryan Mukherjee, Derek Rollend, Gordon Christie, Armin Hadzic, Sally Matson, Anshu Saksena, and Marisa Hughes. “Towards Indirect Top-Down Road Transport Emissions Estimation”. In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Nashville, Tennessee, June 2021, pp. 1092-1101. Best Paper Award [PDF]

  5. Mei Chen, Armin Hadzic, Welian Song, and Nathan Jacobs. “Applications of Deep Machine Learning to Highway Safety and Usage Assessment”. In: Transportation Research Board Workshop (Sponsored by AED50). January 2021. Oral.

  6. Armin Hadzic, Gordon Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, and Ryan Mukherjee. “Estimation Displaced Populations from Overhead”. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Waikoloa Village, Hawaii, September 2020. [PDF] [Code]

  7. Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs. “RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery” In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Seattle, Washington, June 2020, pp. 208-209 [PDF]

  8. Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald Souleyrette, and Nathan Jacobs. “FARSA: Fully Automated Roadway Safety Assessment”. In: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). Lake Tahoe, Nevada, March 2018. [PDF] [Code]