Department of Computer Science & Engineering (CSE)
M. M. Rushadul Mannan
Lecturer, Department of Computer Science & Engineering (CSE)
3rd Floor, Tower 3, MIST.
Mirpur Cantonment, Dhaka-1216, Bangladesh.
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.
B.Sc. in Computer Science and Engineering (4 Years)
Military Institute of Science and Technology. Date of Graduation: February 2022
Best Paper Award at IAIM-2022
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 Domain: Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing, Computer Vision and Human-Computer Interaction.
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.
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]
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.
CSE 101: Discrete Mathematics
CSE 103: Digital Logic Design
CSE 281: Introduction to Computer Programming
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