Raza Ul Mustafa

Raza Ul Mustafa is an Assistant Professor in the Department of Mathematics and Computer Science at Loyola University New Orleans. Prior to this, he was a Postdoctoral Fellow in Large Language Models (LLMs) at American University in Washington, DC.

Education:

• Ph.D. in Computer Engineering (2018-2022), University of Campinas

Research Interests span Natural Language Processing, Large Language Models, Machine Learning, and Quality of Experience (QoE) in multimedia systems. His work combines 5G networks and deep learning to optimize video streaming performance, while also exploring hate speech detection in online platforms using advanced NLP techniques.

Publications focus on two primary areas: (1) 5G network optimization for video QoE, including ML-based stall prediction and QoS-to-QoE mapping, and (2) hate speech analysis using LLMs to detect coded terms in extremist social media. These studies demonstrate his dual expertise in telecommunications and social media NLP.

Industry Experience includes six years as a full-stack developer, which enriches his teaching with practical insights. His research is reproducible and has been published in top-tier venues like IEEE WCNC, DSAA, and ACM QoSS conferences.