About Me
Currently, I am pursuing my PhD at the Department of Computer Science in UKy Beforfe that I worked as a lecturer in the department of Computer Science and Engineering at Green University of Bangladesh and currently on study leave. I obtained my B.Sc. from the Computer Science & Engineering department, Rajshahi University of Engineering & Technology (RUET) My research interests mainly lie in machine learning, computer vision and their applications in healthcare, image quality assessment and medical image generation. I have been participating in data science competitions held at Kaggle and awarded Competition Expert tier.
RECENT NEWS
-
April, 2023 Short paper: (FFCL: Forward-Forward Contrastive Learning for Improved Medical Image Classification) accepted at MIDL 2023
-
January, 2023 Started PhD in Computer Science at the Department of Computer Science in the University of Kentucky
-
May, 2022 Joint Learning with Local and Global Consistency for Improved Medical Image Segmentation accepted on 26th UK Conference on Medical Image Understanding and Analysis (MIUA 2022).
Resume
Experience
Awards
Machine Learning Compettion Awards
-
Ranked 12 out-of 784 and Awarded Silver on RSNA STR Pulmonary Embolism Detection
-
Ranked 22 out-of 1505 and Awarded Silver on Sartorius - Cell Instance Segmentation
-
Ranked 23 out-of 1139 and Awarded Silver on Halite by Two Sigma
-
Ranked 35 out-of 736 and Awarded Silver on Google Landmark Recognition
-
Ranked 48 out-of 541 and Awarded Silver on Google Landmark Retrieval
-
Ranked 293 out-of 3900 and Awarded Bronze on Cassava Leaf Disease Classification
-
Ranked 40 out-of 5864 on HackerEarth Deep Learning challenge: Identify the dance form
Education
2021
B.Sc. in Computer Science & Engineering
Rajshahi University of Engineering & TechnologyCGPA 3.61/4.00(1st class 6th)
2015
Higher Secendory Certificate(H.S.C)
New Govt. Degree College, RajshahiGPA 5.00/5.00
2013
Secendory School Certificate(S.S.C)
Lions School and College, Saidpur,NilphamaryGPA 5.00/5.00
Tools & Libraries
PyTorch
Latex
MLflow
Keras & Tensor-flow
Coding Languages
Python
C++
Java
RT Sadia, MA Ahamed, and MA Hossain Multiple Weather Scene Detection Utilizing the EfficientNet Family. In 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)
M. A. Ahamed, M. Ali Hossain, and M. Al Mamun. Semantic Segmentation of Self-Supervised Dataset and Medical Images Using Combination of U-Net and Neural Ordinary Differential Equations. In 2020 IEEE Region 10 Symposium (TENSYMP), pages 238-241, 2020.
M. A. Ahamed, K. A. Hasan, K. F. Monowar, N. Mashnoor, and M. A. Hossain. ECG Heartbeat Classification Using Ensemble of Efficient Machine Learning Approaches on Imbalanced Datasets. In 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), pages 140–145, 2020.
Contact
Get in Touch
Get in Touch
Kindly drop me a text with the following email (remove *)