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silchar, india
It's currently 11:43 PM here
Joined March 6, 2012
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Abul A.
@abulabbas
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silchar, india
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Machine Learning and Computer Vision Engineer.
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Experience
Computer Vision and AI Engineer
Nov 2022 - Present
Developed and implemented machine learning models to solve complex business problems, resulting in improvement in classification accuracy. Conducted data analysis and performed exploratory data analysis to uncover valuable insights and patterns. Collaborated with cross-functional teams to collect and preprocess data for analysis.
Senior Research Fellow
Jul 2018 - Nov 2022 (4 years, 4 months)
I have been actively conducting research in the field of pattern recognition and computer vision. I have designed and optimized some state-of-the-art deep learning-based architectures for vision-based hand gesture recognition for Sign language character identification. I have also designed an automated framework for the identification of Covid-19 from chest X-ray images.
Education
PhD
(4 years)
Qualifications
Complete Machine Learning & Data Science Bootcamp 2023
udemy
2022
Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with TensorFlow, Pandas, etc.
Train YOLO for Object Detection with Custom Data
udemy
2023
Building detector by labelling, training and testing on image, video and in real time with camera: YOLO v3 and v4
Publications
A deep neural network-based architecture for automated detection of COVID-19 from chest X-ray images
Inderscience
Improved State-of-the-art COVID-19 diagnosis from chest X-ray images with Systematic ML-Pipeline.
Gesture recognition from RGB images using CNN-attention based system.
Wiley
Designed and implemented a spatial attention Based CNN Architecture to classify highly similar interclass gestures.
CNN based feature extraction and classification for sign language
Springer
Developed a novel CNN Transfer learning based approach for improving hand gesture recognition accuracy by 3%.
A convolutional neural network and classical moments-based feature fusion for gesture recognition
Springer
Developed a novel approach of fusion of conventional features and deep learning based features.
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