Summary
Overview
Work History
Education
Accomplishments
Timeline
Generic

Elias Hossain

DHAKA,13

Summary

PERSONAL STATEMENT My long-term career goal is to pursue academic research in the field of AI/ML. I have around 1 year of research experience in the R&D industry in machine learning and biomedical image classification. I have excellent interpersonal skills and string aptitude to learn and excel in new topics – with strong writing & speaking communication skills. My innovative engineering and research skills are evident from my publication records and being winner of multiple national & international software engineering challenges (including NASA Space Apps Challenge).

Overview

1
1
year of professional experience
4
4
years of post-secondary education

Work History

Machine Learning Researcher

Dhaka, Bangladesh
10.2020 - Current
  • Developing machine learning algorithms to detect Covid-19 disease from Multimodal imaging, e.g
  • Chest X-ray, Computed tomography (CT) and Magnetic resonance imaging (MRI)
  • Practical implementation of X-Ray bone abnormalities classification using state-of-the-art techniques of machine learning and deep learning algorithms
  • Biomedical image classification, medical image analysis, image augmentation, model validation, hyperparameter optimization and applying transfer learning approach
  • Identify and analyze the Covid-19 mortality rate from the publicly available dataset and recognize risk factors through the exploratory data analysis. Deploying the machine learning model on the webserver for making it publicly accessible
  • Sentiment analysis, Topic modelling, News classification and News summarization
  • To better understand and discover discrepancies in data distribution that could affect model performance when deployed in real-world scenarios by exploring and visualizing data
  • To assess the problem-solving skills and applications of machine learning algorithms and rate them according to their likelihood of success, optimizing solutions for performance and scalability
  • Developing business model by finding meaningful insights of hotel review through sentiment analysis & classification in terms of travelling based software system
  • Performing Systematic reviews to identify, evaluate, and summarize the findings of all relevant individual studies on the health & disease-related topic, making the existing information more accessible to the decision-makers
  • Preparing research grant applications and submitting them to the organization with the explicit intent of securing funding for a research project.

Education

Daffodil International University, University of Asia Pacific Software

TECH - Technology

Daffodil International University , Bangladesh Army University of Eng, University of Bangladesh

Bachelor of Science - Software Engineering

Daffodil International University
01.2016 - 01.2020

Online Course “Artificial Intelligence for Medicine Specialization”, Deeplearning.ai, Obtained a comprehensive information & practical implementation for working with Biomedical Images utilizing the state-of-the-art techniques of deep learning (with certificate) Online Course “Data Science Professional Certificate Course”, IBM, Received strong ideas on Statistical Analysis and Machine Learning for working in Data Science domain including practical implementation (with certificate) Online Course “Natural Language Processing with Classification and Vector Spaces”, Deeplearning.ai, Received an in-depth information to work on Natural Language Processing including Feature Extraction, Word Embedding and State-of-the-art techniques of NLP (with certificate) - undefined

Higher Secondary Certificate (HSC) - undefined

Secondary School Certificate (SSC - undefined

Accomplishments

  • Neuroinformatics, Biomedical Imaging, Machine Learning, Deep Learning, Data Science and NLP
  • UBLICATION SUMMARY
  • Journal Articles-4 published (1 first-author), 4 submitted (first-author)
  • Conference Articles-3 published (2 first-author), 4 submitted (3 first-author)
  • Book Chapters-4 published (2 first-author), 2 accepted
  • Conference Presentations- 7 , Programming Language & Software Development Framework
  • Python and Java
  • DJANGO, REST, FLASK, Android Application Development using Android Studio
  • MySQL, SQLITE and Firebase, Android Sensor Programming, Retrofit Library and Proguard
  • Medical Image Classification, Machine Learning, Deep Learning and NLP
  • ML Algorithms: Regression, Classification, Boosting and Clustering algorithms
  • DL Algorithms: ANN, CNN, LSTM, BI-LSTM and Transfer Learning
  • K-fold cross-validation, Grid Search CV, Hyper Parameter Tuning, and ROC-AUC Curve
  • Exploratory Data Analysis, Data preprocessing, Feature Engineering and Feature Selection
  • Model Deployment (Flask), Tensorflow, Keras, and PyCaret
  • Loss optimization and Complexity Analysis
  • Medical Image Fusion, Multimodal Imaging Modalities, e.g., CT, X-ray and MRI
  • Experience in working on Covid-19 diseases classification on CT scan and X-ray images
  • Experience in working on Bone fracture detection on X-ray images using deep learning
  • Image Data Augmentation, Bone fracture detection and Brain Tumors segmentation
  • Text Mining, Text Classification and Text Clustering, FastText, Word2Vec, Glove and BERT
  • News Classification, Sentiment Analysis and Topic Modelling
  • FUNDED RESEARCH PROJECTS
  • Project title: “ADPT: An Automated Disease Prognosis Tool Towards Classifying
  • Edical Disease Using Hybrid Architecture of Deep Learning Paradigm” This study was funded by the Deanship of Scientific Research, Taif University Researchers
  • Upporting Project number (TURSP-2020/348), Taif University, Taif, Saudi Arabia.
  • Project title: “Brain Tumor Auto-Segmentation on Multimodal Imaging
  • Odalities using Deep Neural Network” This study was funded by the Deanship of
  • Cientific Research, Taif University Researchers Supporting Project number (TURSP- 2020/348), Taif University, Taif, Saudi Arabia., Treasurer & Project Organizer 2016-2018
  • Affodil International University Robotics Club (DIURC)
  • Raining Organizer 2017-2018
  • Affodil International University ISACA Student Group (DIUISG)

Timeline

Machine Learning Researcher

10.2020 - Current

Bachelor of Science - Software Engineering

Daffodil International University
01.2016 - 01.2020

Daffodil International University, University of Asia Pacific Software

TECH - Technology

Daffodil International University , Bangladesh Army University of Eng, University of Bangladesh

Online Course “Artificial Intelligence for Medicine Specialization”, Deeplearning.ai, Obtained a comprehensive information & practical implementation for working with Biomedical Images utilizing the state-of-the-art techniques of deep learning (with certificate) Online Course “Data Science Professional Certificate Course”, IBM, Received strong ideas on Statistical Analysis and Machine Learning for working in Data Science domain including practical implementation (with certificate) Online Course “Natural Language Processing with Classification and Vector Spaces”, Deeplearning.ai, Received an in-depth information to work on Natural Language Processing including Feature Extraction, Word Embedding and State-of-the-art techniques of NLP (with certificate) - undefined

Higher Secondary Certificate (HSC) - undefined

Secondary School Certificate (SSC - undefined

Elias Hossain