Sakib Iqram Hamim is currently pursuing a Master of Science by Research in Computer Science at Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia. His research focuses on Wireless Sensor Networks (WSNs), particularly on clustering techniques for enhancing network efficiency. He has published two journal papers related to this work and is developing a novel approach using Fuzzy Type-2 logic for cluster head selection and an improved K-Means algorithm for clustering.

Sakib holds a Bachelor of Science in Computer Science and Engineering from the International Islamic University Chittagong. His academic interests include wireless communication, machine learning, intelligent systems, and network optimization.