Pablo Rivas

Pablo Rivas is an Assistant Professor in the Department of Computer Science at Marist College, where he contributes to teaching and research in artificial intelligence and machine learning. He is the Director of the Center for Standards and Ethics in Artificial Intelligence, an NSF IUCRC planning grant initiative, emphasizing his leadership in responsible AI development and ethical frameworks.

Education:

• PhD in Electrical and Computer Engineering, The University of Texas at El Paso (2011)
• MS in Electrical Engineering, Chihuahua Institute of Technology (2006)
• BS in Computer Science, Nogales Institute of Technology (2004)

Dr. Rivas's research spans Artificial Intelligence, with a strong emphasis on Responsible AI, AI Ethics, Deep Learning, and Fuzzy Systems. His work integrates machine learning with applications in cybersecurity, healthcare diagnostics, natural language processing, and environmental monitoring. He explores ethical dimensions in technology, particularly under societal and organizational pressures.

The analysis of his recent publications reveals a consistent focus on applying AI to real-world problems—from detecting eye diseases in children using smartphone photos to classifying DDoS attacks and modeling sentence quality through deep learning. His interdisciplinary work bridges computer science, medicine, ethics, and environmental science, showcasing a versatile and impactful research agenda.

Scientific Awards:

• No awards listed in the provided text.

Dr. Rivas has been involved in significant research projects, including postdoctoral work at Baylor University and a graduate internship at NASA Goddard Space Flight Center. While no formal grants are listed, his leadership in the NSF IUCRC planning grant for AI ethics indicates active grant-seeking and collaborative research. He has mentored research but no formal students are listed. He has not held administrative roles beyond research leadership.

He is associated with the Center for Standards and Ethics in Artificial Intelligence, where he leads efforts to develop ethical guidelines and standards for AI deployment. This center serves as a hub for interdisciplinary collaboration on trustworthy AI systems.