Pablo Rivas

Assistant Professor of Computer Science, Baylor University

Dr. Pablo Rivas is a junior faculty serving as an Assistant Professor of Computer Science at Baylor University (formerly at Marist College in Poughkeepsie, New York). He worked in the industry for a decade as a software engineer before becoming an academic. He is a Senior Member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center in Greenbelt, MD. He is an ally of women in technology, a deep learning evangelist, a machine learning ethicist, and is a proponent of the democratization of machine learning and artificial intelligence in general. He has peer-reviewed articles for several MDPI, IEEE, and Springer journals related to machine learning. He frequently publishes in top machine learning conferences and workshops such as NeurIPS, ICML, ACL, and ICAI. Dr. Rivas has recently served as a technical reviewer for the International Conference in Machine Learning (ICML), and ACM’s Fairness, Accountability, and Transparency (FAT) conference. He teaches machine learning and deep learning courses with applications in natural language processing and computer vision.

Dr. Rivas's publications are usually related to machine learning, computer vision, or machine learning ethics. He is an active member of the IEEE Standards Association developing the AI ethics standards, the P7000 series. His recent work includes AI applications in cybersecurity; he has worked on adversarially-robust convolutional neural network models for the detection of DDoS attacks. Most recently he has worked on testing neural-based block-ciphers trained adversarially.


  • AI ethics,
  • SVMs,
  • CNNs,
  • GANs,
  • Adversarial robustness,
  • Cybersecurity,
  • Neural cryptography,
  • Learning optimization algorithms