Javier Pastorino

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

• EGR 105L: Computing for Engineers
• ECE 899: Special Readings in Electrical Engineering
• ECE 651: Software Engineering
• ECE 590D: Advanced Topics in Electrical and Computer Engineering
• ECE 590: 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. 151u20138.
• 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. 95u20138.
• 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. 116u20139.
• 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. 1350u20137.