Md. Zayed Bin Zahir Arju is a dedicated lecturer in the Department of Computer Science and Engineering at the School of Data and Sciences, BRAC University. He completed his B.Sc. in Electrical and Electronic Engineering (EEE) with a major in Electronics from the University of Dhaka in 2024 and is currently pursuing his M.Sc. in EEE at the same institution, focusing on Electronics (EMS) and Communications (CMS). His research interests lie at the intersection of advanced computing and applied science, with a particular focus on Machine Learning, Deep Learning, Image Processing, Sensor Technologies, and Environmental Sciences. Passionate about innovation and teaching, Zayed strives to inspire the next generation of engineers while working to develop intelligent, real-world solutions that address global challenges.

1. Designation: Lecturer ( Summer 2026 – Current )

   Department of Computer Science and Engineering (CSE) 

   School of Data and Sciences, BRAC University

2. Designation: Adjunct Lecturer ( Summer 2024 – Spring 2026 )

   Department of Computer Science and Engineering (CSE) 

   School of Data and Sciences, BRAC University

3. Designation: Research Assistant ( 2023 - 2025 ) 

    Microsystems And Nanoengineering Group – DU 

    University of Dhaka

Theories:
1. CSE250 – Circuits and Electronics
2. CSE350 – Digital Electronics and Pulse Techniques

Labs:
1. CSE250 – Circuits and Electronics Lab
2. CSE251 – Electronic Devices and Circuits Lab
3. CSE350 – Digital Electronics and Pulse Techniques Lab

4. CSE460 – VLSI Design Lab

Journal Articles

1. Md Zayed Bin Zahir Arju, Nafisa Amin Hridi, Lamiya Dewan, Md Nurul Amin, Taslim Ur Rashid, Abul Kalam Azad, Sejuti Rahman, Mainul Hossain, and Ahsan Habib. "Deep-learning enabled rapid and low-cost detection of microplastics in consumer products following on-site extraction and image processing." RSC advances 15, no. 14 (2025): 10473-10483.

2. N. A. Hridi, M. Z. B. Zahir Arju, S. M. A. Emam, M. N. Amin, T. U. Rashid, M. Hossain, and A. Habib, "SensorPlast: An ML-Augmented Microwave Asymmetric Split Ring Resonator Based System for Advanced Microplastic Identification." IEEE Transactions on Instrumentation and Measurement, March 2026, doi: 10.1109/TIM.2026.3671932.