Prof., DR. Akbar Namin





Texas Tech University, TX
(USA)



Integrating Agentic AI in the Pipeline for Developing AI-Powered Applications with Realtime Data Analytics
and Enforced Decision Makin



Abstract



This talk will explore the revolutionary role of agentic AI in the pipeline for designing and developing AI-powered applications. Agentic AI is believed to be the next transformative technological wave in developing the next generation of data-driven software systems that enables interactions between users and agents with the objective of achieving the common goals while collaborating and exchanging data in tandem. The key benefit of such collaboration between agentic AI and human users is the representation of acquired knowledge and learning performed by agents as well as sharing the reasoning power often possessed by humans’ users with the agentic AI and thus accomplishing complex tasks collaboratively. The talk will present the state-of-the-art in research and practices of integrating agentic AI in designing software applications that inherently contain automated decision-making components and analytics based on observed data. The talk also explores how the reasoning power of agentic AI can be enhanced by Reinforcement Learning (RL) modules. The talk will present several applications of agentic AI in the context of analytical software development, software and system security.



Short Bio


Dr. Akbar Namin is a full professor in Computer Science at Texas Tech University where he directs the Center for the Science and Engineering of Cyber Security (CSECS). Namin earned his Ph.D. in Computer Science from Western University, Canada, in 2008. Namin’s research is in cyber security, machine learning, Reinforcement Learning, Large Language Models (LLM), software engineering, and human AI interactions. Namin has authored over 120 scientific papers and research articles appeared at premier professional venues and journals. Namin has been the guest editors of several scientific journals. He has founded the Advanced Socio-Technical Analytics Research Lab in Computer Science Department with over 10 Ph.D. and 80 Master’s students graduated. His research lab conducts multidisciplinary research projects in various areas including human factors in cyber security and humanized AI through Reinforcement Learning. The National Science Foundation (NSF) and The Office of Navy Research (ONR) fund his scholarly work in cyber security research and education. Namin has been a Fulbright U.S. scholar visiting the St. Polten University of Applied Sciences, Department of Computer and Security, Austria, in 2025.