Rakibul Hasan

Rakibul Hasan is a highly skilled professional with extensive experience in machine learning and network optimization. Currently serving as a Graduate Research and Teaching Assistant at the New Jersey Institute of Technology, Rakibul has developed an innovative adaptive learning algorithm for online index selection. Prior to this role, experience at Robi Axiata Limited included positions such as Manager of Market Strategy & Planning, where Rakibul utilized machine learning to drive revenue growth, and Specialist roles in Core Network and Radio Network Planning that focused on optimizing network performance and user experience. Additional experience includes a research internship at Fujitsu Research, where predictive analytics were applied to enhance digital marketing strategies, and a role as an Optimization Engineer at Huawei Technologies. Educational qualifications include a PhD in Computer Science from the New Jersey Institute of Technology, an Executive MBA from the Institute of Business Administration, University of Dhaka, and a B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology.