Faculty Profile

Khan, Rahad

LecturerEmail : rahad@cse.uiu.ac.bd

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 machine learning, image processing, and computer vision. As a result, his thesis is on “Person Identification using Bangla Voice Data via LSTM Networks.”

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

Degree University/Board Passing Year Result
M.Sc. Engg. Dhaka University of Engineering & Technology, Gazipur Enrolled Enrolled
B.Sc. Engg. Dhaka University of Engineering & Technology, Gazipur 2022 3.95
Diploma in Engg. Rangpur Polytechnic Institute 2016 3.88
SSC Dinajpur 2012 4.63

  • Machine Learning
  • Signal Processing(Speech)
  • Image Processing ( Medical Image, Agriculture)
  • Computer Vision
  • Robotics and Human Computer Interaction
  • Data Science

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

  • 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

  • Structured Programming Language Laboratory
  • Object Oriented Programming
  • Object Oriented Programming Laboratory
  • Advanced Object Oriented Programming Laboratory
  • Operating System
  • Computer Architecture
  • Digital Logic Design
  • Introduction to Computer System
  • Data Structure and Algorithm Laboratory
  • Artificial Intelligence Laboratory


  • Bangla Speech-Based Person Identification Using LSTM Networks [here]