PROFILE SUMMARY

Muhammad Khawaja Hassan Nizami is a Lecturer in the Department of Computer Science at Muhammad Ali Jinnah University, Pakistan. He holds an MS in Computer Science and an MBA in Supply Chain Management, providing him with an interdisciplinary academic background in computing and business.

His academic experience encompasses undergraduate teaching, curriculum development, Outcome-Based Education (OBE), and supervision of undergraduate research and Final Year Projects. His research interests include Machine Learning, Large Language Models, Intelligent AI Agents, Emotional Intelligence in Artificial Intelligence, Theory of Mind, and Recursive Self-Improvement. He is particularly interested in developing adaptive and intelligent systems through Reinforcement Learning and advanced AI methodologies.

His research contributions include machine learning-based prediction, feature selection, and Internet of Things applications. He has supervised several machine learning-based Final Year Projects, including an Ignite-funded project, and received a Gold Medal for Excellence in Final Year Project Supervision. His academic activities also include student mentoring, curriculum development, and professional training in Artificial Intelligence and digital technologies.

RESEARCH AREAS / INTERESTS

• Emotional Intelligence in Multi-Agent Artificial Intelligence Systems
• Large Language Models and Intelligent AI Agents
• Emotion-Aware Artificial Intelligence
• Theory of Mind in Artificial Intelligence
• Recursive Self-Improvement in Artificial Intelligence
• Reinforcement Learning and Adaptive Intelligent Systems

TEACHING INTERESTS

• Programming Fundamentals
• Object-Oriented Programming
• Data Structures and Algorithms
• Discrete Structures
• Operating Systems
• Machine Learning
• Deep Learning
• Artificial Intelligence
• Internet of Things
• Data Analytics
• Big Data Analytics