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Steven Fernandes is a tenured Associate Professor of Computer Science at Creighton University, USA. He focuses on robust, trustworthy, and safe artificial intelligence and its applications in healthcare. One line of work develops attribution-based confidence metrics and explainability methods to detect adversarial attacks. Another applies vision-language models to medical images. He builds AI agents for healthcare, spanning medicine, nursing, pharmacy, and dentistry. He earned a Ph.D. in Electronics and Communication Engineering (Machine Learning) from Karunya Institute of Technology and Sciences and an M.S. in Data Science from the University of Texas at Austin. He has held postdoctoral positions at the University of Alabama at Birmingham and the University of Central Florida. At Creighton, he holds five secondary appointments, including the School of Medicine, College of Professional and Continuing Education, College of Nursing, Mathematics, and Graduate School. His research has been supported by NSF, NIH CoBRE pilot funding, Nebraska EPSCoR, NSF ACCESS, the NAIRR Pilot, AWS, and Google. He has guided Creighton undergraduate students to publish in workshops at CVPR, ICCV, ECCV, ICML, and NeurIPS. He serves on the senior program committee for DPH 2026 and 2027.