Javier Pastorino
Electrical and Computer Engineering
Assistant Professor of the Practice in the Department of Electrical and Computer Engineering
Research Interests
Software Engineering and Data Management
Artificial Intelligence
Machine Learning
Privacy in ML
Cybersecurity
Computer Engineering Education
Education
- M.S. Universidad de la Republica (Uruguay), 2012
- Ph.D. University of Colorado, Denver, 2022
Positions
- Assistant Professor of the Practice in the Department of Electrical and Computer Engineering
Courses Taught
- ECE 899: Special Readings in Electrical Engineering
- ECE 651: Software Engineering
- ECE 590D: Advanced Topics in Electrical and Computer Engineering
- ECE 551D: Programming, Data Structures, and Algorithms in C++
Publications
- Pastorino J, Biswas AK. Data adequacy bias impact in a data-blinded semi-supervised GAN for privacy-Aware COVID-19 chest X-ray classification. In: Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2022. 2022.
- Pastorino J, Director JW, Biswas AK, Hawbaker TJ. Determination of optimal set of spatio-Temporal features for predicting burn probability in the state of California, USA. In: Proceedings of the 2022 ACMSE Conference - ACMSE 2022: The Annual ACM Southeast Conference. 2022. p. 151–8.
- Pastorino J, Biswas AK. Data-Blind ML: Building privacy-aware machine learning models without direct data access. In: Proceedings - 2021 IEEE 4th International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2021. 2021. p. 95–8.
- Pastorino J, Biswas AK. Hey ML, what can you do for me? In: Proceedings - 2020 IEEE 3rd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2020. 2020. p. 116–9.
- Pastorino J, Biswas AK. TexAnASD: Text Analytics for ASD Risk Gene Predictions. In: Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019. 2019. p. 1350–7.