At UMBC, I design and teach core AI and Machine Learning courses while leading research at the intersection of multimodal learning, open-world reasoning, and data-centric AI for real-world decision-making. My research focuses on enabling AI systems to reason under uncertainty, adapt to dynamic environments, and serve critical real-world missions.

I also lead the H.A.R.M.O.N.I. Lab — Human-Aligned, Resilient, Multimodal, Open-ended, Novelty-Informed Intelligence. We design AI systems that adapt, align, and endure — systems that operate safely in uncertain environments like smart energy, public health, and civic tech.

I earned my Ph.D. and M.Sc. in Computer Science from Purdue University, working with Prof. Bharat Bhargava and collaborating with Prof. Michael Stonebraker on DARPA and Northrop Grumman–funded projects. My work has appeared in top venues like VLDB, SIGMOD, AAAI, and IEEE Journals, and I’ve collaborated with institutions including MIT, USC-ISI, and West Lafayette Police Department.

Fun fact: At UMBC, people know me as Khaled. I also go by Salvi — a name derived from salve, meaning healing — which reflects the mission behind our lab.