Md Mehrab Hossain

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Lecturer | Machine Learning Enthusiast | Prospective Masters | PhD Candidate

View the Project on GitHub Mehrab-Hossain/md-mehrab-hossain

About Me

My journey as a passionate machine learning and research enthusiast has been fueled by my high academic performance and participation in extracurricular activities. I have already published numerous articles and consistently on the path to contributing a variety of scientific fields through perseverance and dedication. My research interests are focused on the most advanced areas of AI technology, including quantum annealing, computer vision, and natural language processing (NLP).Therefore, I am motivated to investigate innovative solutions and push the boundaries of AI technology as well as passionate to address complex issues and facilitate significant advancements in these thrilling fields as a result of my academic accomplishments and profound curiosity.

Contact Info

Technical Skills: Python, TensorFlow, PyTorch, HuggingFace, Transformers

Education

Research Area

Publications

Live Papers

  1. Optimizing Round Robin Scheduling with DBSCAN Clustering and Machine Learning. Md Mehrab Hossain; Nanziba Khan Biva; Nafiz Nahid; Ariful Islam Rifat; Ashraful Islam. 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON), 01-02 November 2024, Khulna, Bangladesh. IEEE. (pp. 1-6). Link

  2. BDNEWS: Advance Bengali Sensitivity Corpus and Classifiers. Musammat Tania Sultana Hafsa; Taahia Tahsin; Md Mehrab Hossain; Ashraful Islam. 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON), 01-02 November 2024, Khulna, Bangladesh. IEEE. (pp. 1-6). Link

  3. Critical Analysis of BERT and LSTM Model for Bengali Sentiment Analysis Across Varied Datasets. Hossain M, Akhi IAH, Raisa SRS, Onni TS, Rifat AI, Islam A.In 2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN), Thailand 2023 Dec20. IEEE. (pp. 1-6). Link

  4. Predicting the Risks of Brain Stroke Using Machine Learning Models and Artificial Neural Network. Nahid N, Hossain M, Rifat AI, Raisa MD, Islam A. In 2023 3rd Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS), India 2023 Nov 16 (pp. 1-7). IEEE. Link

  5. Children Hematopoietic Stem Cell Transplant Survival Status Prediction using Machine Learning. Rifat AI, Hossain M, Nahid N, Akter S, Islam A. In 2023 3rd Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS), India 2023 Nov 16 (pp. 1-6). IEEE.
    Link

  6. An Automatic System for Identifying and Categorizing Tribal Clothing Based on Convolutional Neural Networks. Islam A, Chowdhury T, Hossain M, Nahid N, Rifat AI. In 2022 4th International Conference on Emerging Research Electronics, Computer Science and Technology (ICERECT), India 2022 Dec 26. IEEE. Link

Accepted Paper & Waiting for Published

  1. A Large-Scale Bengali Paraphrase Generation Dataset: Comprehensive Study of Language Models and Performance Analysis.
  2. A Large Scale Dataset for Multilingual Summarization with a novel Filtering approach and Model evaluation.
  3. Deep Learning Based Vehicle Classification in Autonomous Driving on Foggy and Rainy Weather.
  4. Classification of Four Different Types of Cracks in Walls and Pavements Using CNN Architecture

Work Experience

Adjunct Lecturer

Research Assistant

Research Assistant

Projects

Bengali Paraphrase Generator(NLP Project)

Multi Lingual Summary Generator (NLP Project)

Ultimate Tic-Tac-Toe(AI Project)

Digital Image Filter (DIP Project)

POS-System (DBMS Project)

Technical Skills and Interests

  1. Languages : C, C++(2000+ problem solved), Python, Java, JavaScript. Link
  2. Developer Tools : Visual Studio Code, Jupyter Notebook, Code-blocks, Netbeans, IDE, Anaconda
  3. Frameworks : TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, NodeJs, ExpressJs
  4. Cloud/Databases : MySQL, SQLite, MongoDB
  5. Soft Skills : Web-Development,Competitive Problem Solving, Data Analysis
  6. Areas of Interest : Machine learning(NLP, Computer vision), Quantum Annealing, Data Science
  7. Others :Git, Windows, LaTeX

Positions of Responsibility

  1. Secretary, SEC-CSE Research Club (June 2023 - December 2024)
  2. Vice-President, SEC Programming Club (June 2023 - December 2024)