Md. Atikuzzaman | Green University of Bangladesh

Md. Atikuzzaman

Lecturer

Master of Artificial Intelligence

Kyung Hee University, Republic of Korea

Department of Artificial Intelligence

B.Sc.

Green University of Bangladesh

Department of Computer Science and Engineering

H.S.C.

Concentration: Science

Institute: Adamjee Cantonment College

S.S.C.

Concentration: Science

Institute: Takerhat Popular High School and College

Green University of Bangladesh

Lecturer, Dept. of CSE

February 2022 – Present

Green University of Bangladesh

Lecturer, Lab Courses ( C )

September 2019 – January 2022

Catalyst Solutions (DBA – Adiva Graphics)

Data Artist (Associate)

May 2019 – July 2019

Journal Articles

  • Pervej, M., Das, S., Hossain, M.P., Atikuzzaman, M., Mahin, M. and Rahaman, M.A., 2021. Real-Time Computer Vision-Based Bangla Vehicle License Plate Recognition using Contour Analysis and Prediction Algorithm. International Journal of Image and Graphics, p.2150042.

Conference Articles

 

  • M. Atikuzzaman, T. R. Rahman, E. Wazed, M. P. Hossain and M. Z. Islam, “Human Activity Recognition System from Different Poses with CNN,” 2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI), Dhaka, Bangladesh, 2020, pp. 1-5, DOI: 10.1109/STI50764.2020.9350508.
  • M. P. Hossain, M. Atikuzzaman, M. M. Rahim, M. T. Hossain, M. S. Mousome and M. A. Rahaman, “Human Robot Interaction System for Behavioral Improvement of Autistic Children,” 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), Dhaka, Bangladesh, 2020, pp. 117-122, DOI: 10.1109/ICAICT51780.2020.9333508.
  • M. Atikuzzaman, M. Asaduzzaman and M. Z. Islam, “Vehicle Number Plate Detection and Categorization Using CNNs,” 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), Dhaka, Bangladesh, 2019, pp. 1-5, DOI: 10.1109/STI47673.2019.9068049.
  • Rahman M. M., Afrin M. S., Atikuzzaman M., & Rahaman M. A. Real-Time Anomaly Detection and Classification from Surveillance Cameras Using Deep Neural Network.  In 2021 3rd International Conference on Sustainable Technologies for Industry 4.0 (STI), pages 1-6, Dec 2021.
Research Interest:
  • Computer Vision
  • Machine Learning
  • Deep Learning
  • Medical Imaging