Profile

Faculty and Department Affiliation

Faculty of Science and Engineering
Department of Computer Science and Engineering

Degrees and Universities Attended

M.Sc    in    Computer    Science    from    Jahangirnagar    University
B.Sc    in    Computer    Science    and    Engineering    from    American  International  University-Bangladesh
HSC    from    B.A.F.  Shaheen  College,Tejgaon  Dhaka
SSC    from    Milestone  College

Short Introduction

Md Ajharul Islam Miraj is a lecturer in the Department of Computer Science and Engineering at city university Bangladesh. He completed SSC and HSC from Milestone College and B.A.F. Shaheen College, Tejgaon. He completed his Bachelor of science in computer science and engineering from American International University-Bangladesh with the CGPA of 3.79 out of 4.00 and having the academic scholarship. Then he completed his Masters in Computer Science from Jahangirnagar University with the CGPA of 3.90 out of 4.00 and having the academic waiver. Being a passionate tutor during his studentship, he was very popular teacher for HSC student on mathematics and physics. Before joining the city university, he was a software engineer as a full stack developer in a reputed interior company at Sheraspace Ltd. He worked as a Teaching Assistant (TA) in faculty of science and engineering in AIUB. He already published papers in the prestigious publisher and many of his papers are currently under review. His research domains are Machine Learning, Deep Learning and Artificial Intelligence and Blockchain.

Teaching experience

1. Lecturer  department  of  computer  science  and  engineering,  city  university  August  2023-  Till  date
2. Teaching  Experience  (TA),  Faculty  of  Science  and  Technology,  American  International  University-Bangladesh  (AIUB)  June  2021-  December  2021
3. Teaching  in  HSC  level-January  2018-December  2021

Research Interest

1. Machine  Learning
2. Deep  Learning
3. Artificial  Intelligence
4. Computer  Vision
5. Blockchain

Publications

A  deep  learning  framework  to  reconstruct  face  under  mask.  In  2022  7th  International  Conference  on  Data  Science  and  Machine  Learning  Applications  (CDMA)  (pp.  200-205).  IEEE.  DOI:  10.1109/CDMA54072.2022.00038