Mr. Chenglong Xu | Computer Science and Technology | Editorial Board Member

Mr. Chenglong Xu | Computer Science and Technology | Editorial Board Member

China University of Mining and Technology | China 

Mr. Xu Chenglong, born in Weifang, Shandong, is currently pursuing his master’s degree in information and communication engineering at the China university of mining and technology, with an expected graduation. His research interests focus on computer vision, particularly human behaviour recognition, human pose estimation, and video understanding. He has developed strong foundations in artificial intelligence, machine learning, computer science and technology, digital image processing, graph theory, matrix theory, and probability theory. During his postgraduate studies, he has contributed to forty-four sci papers, including one published at a top-tier ccf a-level ai conference and several under review in cas q1 and q2 journals. He demonstrates excellent english proficiency, independent scientific research ability, and programming skills, especially in python. Previously, he completed his undergraduate studies in communication engineering at the shandong university of science and technology, where he earned multiple scholarships and competition honours. His scholarly impact includes 10 documents, 2 documents, and an h-index of 1.

Profile: Scopus

Featured Publication

Xu, C. (2025). Heterogeneous modal collaborative training network for human action recognition. Knowledge-Based Systems.

Mr. Muhammad Abbas | Mathematics | Best Researcher Award

Mr. Muhammad Abbas | Mathematics | Best Researcher Award

University of Peshawar | Pakistan

Mr. Muhammad Abbas is an MPhil scholar in the Department of mathematics at the University of Peshawar, Pakistan, specializing in dynamic systems and neural network models. His academic jouney reflects a deep commitment to understanding complex systems through mathematical modeling and analytical methods. His primary research interests include dynamic systems, neural network models, fixed point theory, time scale theory, Mathematics and control theory. Muhammad abbas has contributed three research papers published in reputed journals indexed in scopus and other international databases, earning a total of 3 citations and achieving an h-index of 1. His recent study makes a pioneering contribution by examining synchronization and stability issues in a network of spiking neural networks with time delays over time scales. this innovative work introduces new control strategies-feedback and output control protocols-to achieve ulam-hyers-rassias stability and exponential synchronization. Through his growing research portfolio, Muhammad Abbas aims to advance the mathematical foundations of neural systems and control theory while bridging the gap between theoretical research and real-world computational models. With a focus on quality research and academic excellence, he continues to explore emerging intersections between mathematics and intelligent systems, contributing to the broader development of computational and applied mathematical sciences.

Profile: Scopus

Featured Publication

Abbas, M. (2025). Exponential synchronization and Ulam-Hyers-Rassias stability for n spiking neural networks with time delays via different controller matrix over a time scale. Ain Shams Engineering Journal.