My name is Aman Ullah. I hold a PhD in Computer Science & Engineering  from Central South University and completed my postdoctoral research at the University of Electronic Science and Technology of China (UESTC).

My research is centered on the emerging field of network science, particularly complex networks. I focus on understanding and modeling complex systems, designing scalable algorithms to identify influential nodes, and detecting communities within real-world networks. A key area of my work involves analyzing social systems, which serve as fundamental examples of complex networks. My work at UESTC focused on community detection in dynamic networks, where I developed innovative algorithms to enhance detection accuracy and scalability. This research has resulted in several publications in journals such as Journal of Intelligent Information Systems, Social Network Analysis and Mining, Applied Intelligence, and Complexity.

Additionally, I have authored numerous articles in high-impact journals, including Information Fusion, IEEE Transactions on Industrial Informatics, Expert Systems with Applications, Information Sciences, Chaos, Solitons & Fractals, and Information Processing and Management. These contributions reflect my commitment to advancing network science and addressing complex societal challenges through data-driven network analysis. Beyond network science, I am also exploring advanced techniques in software engineering, particularly in the area of software cost and effort estimation.