Rabeya Sadia

Rabeya Sadia

Lecturer

R. P. Shaha University

Email: rabeyasadia8@gmail.com

Overview

Current Research Works

    Research Interests

    • Network Security
    • Block Chain
    • Cryptography
    • Advanced AI
    • Deep Learning
    • Reinforcement Learning
    • Natural Language Processing
    • Image Processing
    • Computer Vision
    • Pattern Classification
    • Mobile Edge Computing
    • Task Offloading
    • Optimization Algorithm

    Education

    • Master’s (AI & Computer Engineering)

      University of Ulsan

      Ulsan (South Korea)

    • Bachelor of Science (Computer Science and Engineering)

      University of Chittagong

      Chittagong (Bangladesh)

    Work Experience

    • 2021-09-01 to 2023-12-25

      Research Assistant

      University of Ulsan

      Ulsan (South Korea)

      https://sites.google.com/view/amnl-uou/

    • 2019-09-01 to 2021-10-10

      Lecturer

      Port City International University

      Chittagong (Bangladesh)

      http://www.portcity.edu.bd/

    Research Works

    • Sadia, R., Akter, S. and Yoon, S., 2023. Ellipsoidal Trajectory Optimization for Minimizing Latency and Data Transmission Energy in UAV-Assisted MEC Using Deep Reinforcement Learning. Applied Sciences, 13(22), p.12136 (SCIE indexed)

    • Sadia, R. and Yoon, S., 2023. 3D Placement Optimization of MEC enabled UAV for Data Transmission with Lower Latency and Energy Consumption. 한국통신학회학술대회논문집 , pp.503-504

    • Sadia, R., Rahman, M.A. and Seddiqui, M.H., 2019. N-gram statistical stemmer for bangla corpus. arXiv preprint arXiv:1912.11612

    • Deep RL-based Ellipsoidal Path Planning for MEC enabled UAVs to Minimize Data Transmission Latency and Energy Consumption of Mobile Devices (Master’s Thesis) An optimization problem that finds the center position, major radius, minor radius, and rotation angle of the ellipsoidal trajectory of UAV-assisted MEC servers, to minimize the total transmission latency and energy consumption of mobile devices.

    • N-gram Statistical Stemmer for Augmented Bangla Corpus (B.Sc Thesis) A stemmer clustered the related sets of words in the documents dependent on their character structure utilizing an affiliation measure named dice coefficient and producing the smallest word as the stem.