Department of Computer Science & Engineering (CSE)

M. M. Rushadul Mannan

Lecturer, Department of Computer Science & Engineering (CSE)

Contact Information 

3rd Floor, Tower 3, MIST. 

Mirpur Cantonment, Dhaka-1216, Bangladesh. 

Professional Experience

  • Industrial Trainee, Apploye Inc.
    • Duration: February 2021 – March 2021
  • Faculty Member, Department of CSE, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka-1216, Bangladesh.
    • Duration: March 2022– Present.

Academic Qualification 

  • B.Sc. in Computer Science and Engineering (4 Years) 

           Military Institute of Science and Technology. Date of Graduation: February 2022 

Awards/ Honours 

  • Best Paper Award at IAIM-2022 

  • MIST Medalist

  • MIST Dean’s List of honour – 2020  (Academic Session 2019-2020) 

  • MIST Dean’s List of honour – 2019  (Academic Session 2018-2019) 

  • MIST Dean’s List of honour – 2018  (Academic Session 2017-2018) 

  • Received University Merit Scholarship in all academic terms during my undergraduate study at Military Institute of Science and Technology (MIST).  

Research Interests

Research Domain: Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing, Computer Vision and Human-Computer Interaction. 

Research Works

Conference Publications

  • M. M. Rushadul Mannan, Md. Shahir Zaoad, Angshu Bikash Mandol, Mostafizur Rahman, Md. Mahbubur Rahman and Md. Adnanul Islam. “An Approach Towards Video Captioning in Bengali”, International Conference on Artificial Intelligence and Machine Learning (IAIM-2022), Sathyabama Institute of Science and Technology, Chennai, India.

Journal Publications

  •  Md. Shahir Zaoad, M. M. Rushadul Mannan, Angshu Bikash Mandol, Mostafizur Rahman, Md. Mahbubur Rahman and Md. Adnanul Islam. "An attention-based hybrid deep learning approach for bengali video captioning"- Journal of King Saud University-Computer and Information Sciences, Volume 35, Issue 1, January 2023, Pages 257-269. [Link]

  • Muhammad Nazrul Islam, Kazi Rafid Raiyan, Shutonu Mitra, M. M. Rushadul Mannan, Tasfia Tasnim, Asima Oshin Putul & Angshu Bikash Mandol. "Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseases"- BMC Health Services Research volume 23, Article number: 171 (2023). [Link]

Notable Projects   

  • Predictis: An application to predict the risk level of Cardio-vascular disease:  A Machine Learning and IoT-based mobile application to predict the CVD risk level and monitor the health parameters of the end-user in terms of ECG, Blood Pressure, and Pulse Rate. 

  • E-va: An Electronic Waste management system: A Web-based application to manage Electronic-Waste to reduce, reuse and recycle. Oracle database management system is used as the backend with an interactive UI being the frontend. 

  • PPD Coach: An application for predicting Postpartum Depression: A Mobile Application with interactive user interfaces to predict postpartum depression level in Bangladeshi mothers, in the most efficient way, using a Multi-Modal questionnaire. 

Teaching Experience

Theory Courses

  • CSE 101: Discrete Mathematics
  • CSE 103: Digital Logic Design
  • CSE 281: Introduction to Computer Programming

Sessional Courses

  • CSE 104: Digital Logic Design Sessional
  • CSE 204: Data Structure and Algorithm Sessional
  • CSE 282: Introduction to Computer Programming Sessional
  • CSE 310: Computer Networking Sessional
  • CSE 316: Digital System Design Sessional
  • CSE 318: Data Communication Sessional
  • CSE 360: Integrated Design Project/Capstone  Project I
  • CSE 460: Integrated Design Project/Capstone Project II

Technical Skills

Programming Language

C/C++, Python, Java, Assembly (Intel ×86, MIPS)


Oracle, Firebase, MySql


Android Studio, Google Colaboratory, Visual Studio, Code blocks, IntelliJ, MATLAB, Eclipse, Git, Blender, OpenGL


Cisco packet Tracer, Circuit Maker

Scripting & Modeling

HTML, JavaScript, Shell Script, LATEX


OpenGL, Blender