Dr. Musadaq Mansoor

Dr. Musadaq Mansoor holds a Ph.D. in Computer Science (2022) and currently serves as an Assistant Professor in the field of Computer Science. He has several years of teaching and academic experience at reputable higher education institutions, where he has contributed to undergraduate and postgraduate programs. His teaching portfolio includes courses such as Software Engineering, Software Project Management, Software Requirement Engineering, Database Systems, Full Stack Development, Big Data Analytics, Bioinformatics, and Fundamentals of ICT. He is actively involved in academic coordination roles, including Final Year Project (FYP) supervision and program-level academic responsibilities.

Dr. Mansoor’s research interests lie in Software Engineering, Data Science, Big Data Analytics, and the application of Deep Learning techniques, with a particular focus on interdisciplinary domains such as protein functions prediction. He has authored and reviewed scholarly work and remains engaged in curriculum development, outcome-based education, and accreditation-related activities. Passionate about student-centered learning and industry–academia linkage, he continuously strives to bridge theoretical foundations with practical, real-world applications.

• Samin, Omar Bin, Maryam Omar, and Musadaq Mansoor. “CapPlant: a capsule network based framework for plant disease classification.” PeerJ Computer Science 7 (2021): e752.
• Mansoor, Musadaq, et al. “Gene Ontology Capsule GAN: an improved architecture for protein function prediction.” PeerJ Computer Science 8 (2022): e1014.
• Mansoor, Musadaq, et al. “Gene Ontology GAN (GOGAN): a novel architecture for protein function prediction.” Soft Computing (2022): 1-15.
• Samin, Omar Bin, et al. “Optimizing agricultural data security: harnessing IoT and AI with Latency Aware Accuracy Index (LAAI).” PeerJ Computer Science 10 (2024): e2276.
• Wang, Yifan, Rongjie Qin, and Musadaq Mansoor. “Optimization study of intelligent accounting manager system modules in adaptive behavioral pattern learning and simulation.” PeerJ Computer Science 11 (2025): e2684.