Md. Rahad Khan is working as a lecturer in the Department of Computer Science and Engineering at United International University (UIU), Bangladesh. On June 13, 2022, he graduated with honors in Computer Science and Engineering from Dhaka University of Engineering & Technology, Gazipur. He is interested in computer vision, deep learning in healthcare, medical imaging, and signal processing. His MSc thesis was on “ENSEMBLE DEEP NEURAL NETWORK WITH EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR BRAIN TUMOR DETECTION.”

In his spare time, he loves traveling and cooking. His aim in life is to become an academic and researcher.

• Computer Vision
• Deep learning in healthcare
• Signal Processing (Speech)
• Medical Image Analysis

• Lecturer, Dept. of CSE at UIU (15-10-2022 to till)
• Lecturer, Dept. of CSE at DIU (19-08-2022 to 14-10-2022)

• Nominee of Prime Minister and President Gold Medalist.
• UGC merit scholarship
• Champion of Hult-prize competition 2021 in campus round
• Winner of Shaheed Mostafa Academic excellence Award 2021
• “Claude ICT Olympiad” runner-up in Innovators Inter-University Engineering Mega Olympiad
• Dean’s award for four consecutive years
• Runner-up of Techfest 2018 IIT Bombay in Bangladesh zonal round and participates in Techfest 2018 International round at IIT Bombay in India
• Runner-up of Robo Rider in DUET CSE FEST 2019

Summer 2025

• Structured Programming Language (CSE 1111)
• Object Oriented Programming for Data Science (CSE 1115)
• Operating Systems (CSE 4509)
• Structured Programming Language Laboratory (CSE 1112)
• Object Oriented Programming for Data Science Laboratory (CSE 1116)

Spring 2025

• Computer Architecture (CSE 3313)
• Operating Systems (CSE 4509)
• Data Structure and Algorithms Laboratory (CSE 2216)
• Artificial Intelligence Laboratory (CSE 3812)

Fall 2024

• Computer Architecture (CSE 3313)
• Artificial Intelligence Laboratory (CSE 3812)
• Software Engineering Laboratory (3422)

Summer 2024

• Computer Architecture (CSE 3313)
• Artificial Intelligence Laboratory (CSE 3812)
• Operating Systems (CSE 4509)

Spring 2024

• Computer Architecture (CSE 3313)
• Artificial Intelligence Laboratory (CSE 3812)
• Operating Systems (CSE 4509)

Fall 2023

• Data Structure and Algorithm Laboratory (CSE 2216)
• Artificial Intelligence Laboratory (CSE 3812)
• Operating Systems (CSE 4509)
• Computer Architecture (CSE 3313)
• Discrete Mathematics

Summer 2023

• Artificial Intelligence Laboratory
• Object Oriented Programming Laboratory
• Data Structure and Algorithm Laboratory II
• Operating Systems
• Computer Architecture
• Digital Logic Design

Spring 2023

• Structured Programming Language Laboratory
• Introduction to Computer Systems
• Operating System

Fall 2022

• Structured Programming Language Laboratory
• Object Oriented Programming
• Object Oriented Programming Laboratory
• Advanced Object Oriented Programming Laboratory

Journal

1. Khan, Rahad, and Rafiqul Islam. “X‐SCSANet: Explainable Stack Convolutional Self‐Attention Network for Brain Tumor Classification.” International Journal of Intelligent Systems 2025.1 (2025): 1444673.https://onlinelibrary.wiley.com/doi/full/10.1155/int/1444673 [SCOPUS Indexed (Q1) IF:3.7]

Conference

1. R. Khan and R. Islam, “Robust Multiclass Brain Tumor Classification: Leveraging Swin Transformer and Feature Optimization with Ensemble Learning,” 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6, doi: 10.1109/ECCE64574.2025.11013470. https://ieeexplore.ieee.org/document/11013470 [SCOPUS Indexed]
2. Shuvo, SM Haider Ali, and Rahad Khan. “Bangla Speech-based Emotion Detection using a Hybrid CNN-Transformer Approach.” 2023 8th International Conference on Communication, Image and Signal Processing (CCISP). IEEE, 2023.} https://ieeexplore.ieee.org/document/10355685 [SCOPUS Indexed]
3. Khan, Rahad, et al. “Bangla Speech-Based Person Identification Using LSTM Networks.” International Conference on Machine Intelligence and Emerging Technologies. Cham: Springer Nature Switzerland, 2022. https://doi.org/10.1007/978-3-031-34619-4_29 [SCOPUS Indexed]

Conference Papers