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.

Mrs. Ava Kamdem | Social Network Analysis | Best Researcher Award

Columbia University | United States

Mrs. Ava Kamdem is a rising scholar and advocate whose academic and lived-experience journey converges at the intersection of psychology, human trafficking research, and social justice. Graduating B.A. in Psychology from Columbia University School of General Studies, she has already contributed to multiple peer-reviewed manuscripts on topics such as predicting victim versus offender status among female defendants in federal sex-trafficking prosecutions and mapping online sex-buyer networks via large-scale web scraping and social network analysis. Among these, two works are published or under review in journals including Victims & Offenders and Journal of Prevention & Intervention in the Community. While a specific h-index is not publicly confirmed, her early publications already show citation activity and scholarly engagement. Her research output spans qualitative coding of thousands of human trafficking cases, quantitative modeling in R and Python, and presentations at major conferences such as American Psychological Association and American Society of Criminology. Drawing upon her lived experience as a formerly incarcerated survivor of trafficking, Kamdem also holds leadership roles in student-organised advocacy, non-profit outreach, Social Network Analysis and institutional advisory groups. Her work embodies a commitment to both rigorous empiric inquiry and real-world impact in the policy, justice, and academic arenas.