معرفی
Hammed Mojeed serves as an Assistant lecturer at Gdańsk University of Technology in the Department of Computer System Architecture within the Faculty of Electronics, Telecommunications and Informatics. His academic position places him at the intersection of theoretical computer science and practical industry applications.
Mojeed's research interests span multiple domains where machine learning meets real-world challenges. His primary focus areas include software project management optimization, particularly in overtime estimation and allocation, where he bridges the gap between algorithmic solutions and project managers' intuitive knowledge. He also conducts significant research in biometric security systems, specifically developing more robust finger vein recognition technologies resistant to presentation attacks. Additionally, his work in telecommunications analytics focuses on customer churn prediction using advanced ensemble learning techniques.
Mojeed's publication trends reveal a consistent pattern of applying machine learning methodologies to solve industry-specific problems. His recent work (2023-2025) shows increasing sophistication in model development, moving from basic tree-based classification to more complex heterogeneous stacking ensembles and cross-validation approaches. His publications span both computer science and telecommunications domains, demonstrating interdisciplinary expertise.
While no specific scientific awards are documented in the available materials, his publications in reputable journals like IEEE Access and Scientific African indicate recognition within his research communities.
Mojeed actively collaborates with an international research network including R. Szłapczyński, A.O. Balogun, and L.F. Capretz. His research appears to be self-funded or supported through university channels, with no specific grant information provided in the available materials. His work demonstrates strong industry relevance, particularly in software development and telecommunications sectors.
