Sakib Anwar Rieyan joined BRAC University as a Lecturer in the Department of Computer Science and Engineering in February 2025. He holds a BSc in Computer Science and Engineering from BRAC University, graduating with Highest Distinction . His research includes a publication in Information Fusion (Impact Factor: 18.6) on homomorphic encryption and federated learning, and he supervised a student paper on interpretable deep learning, accepted at the 27th International Conference on Computer and Information Technology (2024). With prior experience as a Lecturer at Northern University Bangladesh (2023-2024), Sakib has taught courses such as Artificial Intelligence, Algorithms, Discrete Mathematics, and Numerical Methods.

An Advanced Data Fabric Architecture Leveraging Homomorphic Encryption and Federated Learning
Sakib Anwar Rieyan, Md. Raisul Kabir News, A.B.M. Muntasir Rahman, Sadia Afrin Khan, Sultan Tasneem Jawad Zaarif, Md. Golam Rabiul Alam, Mohammad Mehedi Hassan, Michele Ianni, Giancarlo Fortino
Information Fusion, Volume 102, 102004, 2024

Interpretable Deep Learning Approaches for Reliable GI Image Classification: A Study with the HyperKvasir Dataset
Saif Bin Wahid, Zarin Rothy, Md. Raisul Kabir News, Sakib Anwar Rieyan (Supervisor)
27th International Conference on Computer and Information Technology (ICCIT), Accepted: November 2024

Lecturer, Department of Computer Science and Engineering, BRAC University
February 2025 – Present

Lecturer, Department of Computer Science and Engineering, Northern University Bangladesh
May 2023 – January 2025
 

Quality Journal Publishing Award (2025) for 1% Q1 Journal Publication, RMC, Brac University