About Me
I am the Interim Chair and a Professor in the Department of Computer Science at the University of Texas at El Paso (UTEP). I received my Ph.D. in Computer Science from Virginia Tech in 2012. I joined the Department of Computer Science at UTEP in 2013.
I specialize in artificial intelligence and deep learning. My recent research interests cover modeling of evolving nature of data, large language models, and generative models.
My research adopts a two-pronged approach. On the one hand, I focus on the theories and mathematics underlying the design of machine learning algorithms to address data-intensive challenges, ensuring alignment with the latest advances in AI. On the other hand, my applied research relies on collaborations with domain experts, addressing problems that current machine learning toolkits cannot directly resolve. The practical challenges I face in real-world scenarios bolster my theoretical investigations. Conversely, the foundational insights gathered from my theoretical work inform and enhance my applied interdisciplinary research.
Over the years, I have had the privilege of collaborating with experts spanning numerous sectors, including neurorehabilitation, agriculture, civil engineering, biomedical sciences, health, manufacturing, energy-efficient designs, national security and intelligence analysis, and cybersecurity, to name a few. The extensive engagement has enriched my perspective, enabling me to spearhead interdisciplinary artificial intelligence endeavors.
I have a passion for "computing for all." I have built a website,
computing4all.com,
where I write my thoughts on computing-related topics. I develop computing, AI, and Data Science-related educational materials and publish via the website and this YouTube channel.