Ashfak Yeafi

Greetings! I’m a driven individual with a diverse skill set and a passion for leveraging technology to tackle real-world challenges. My name is Ashfak Yeafi, and I am a recent graduate with a Bachelor’s degree in Electrical and Electronic Engineering (EEE) from Khulna University of Engineering & Technology.

During my academic journey, I delved deep into the realm of engineering, gaining invaluable insights and honing my problem-solving skills. I firmly believe in the importance of applying classical strategies to contemporary projects, and this philosophy has guided my approach to various endeavors.

One of my notable achievements is attaining the prestigious title of Kaggle Grandmaster, which speaks to my proficiency in data science and machine learning. I am deeply fascinated by the potential of AI and its applications in solving complex problems efficiently.

As a self-taught Python developer, I have dedicated countless hours to mastering my coding skills, particularly in the domain of machine learning. This dedication has equipped me with proven and tested abilities, supported by a solid foundation in computing.

Aside from technical expertise, I pride myself on effective communication skills, enabling me to articulate complex concepts in a clear and concise manner. Whether it’s collaborating with colleagues or presenting technical ideas to non-technical stakeholders, I strive to ensure seamless communication channels.

In essence, I am a motivated individual with a relentless drive to learn and grow in the field of technology. I am excited about the opportunities ahead and am committed to making meaningful contributions to the ever-evolving landscape of engineering and AI research.

selected publications

Implementation of Encoder-Decoder based Long Short-Term Memory Network for Short-Term Electrical Load Forecasting

Amit Deb Roy , and Ashfak Yeafi

In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI) , 2022

Bib HTML PDF

@inproceedings{10103285,
  author = {Roy, Amit Deb and Yeafi, Ashfak},
  booktitle = {2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI)},
  title = {Implementation of Encoder-Decoder based Long Short-Term Memory Network for Short-Term Electrical Load Forecasting},
  year = {2022},
  volume = {},
  number = {},
  pages = {1-6},
  keywords = {Radio frequency;Measurement;Recurrent neural networks;Load forecasting;Predictive models;Power systems;Forecasting;Short-Term Load Forecasting;Long-Short-Term Memory Network;Bangladesh Power System;Evaluation Metrics},
  doi = {10.1109/STI56238.2022.10103285},
}

Advancing automatic plant classification system in Saudi Arabia: introducing a novel dataset and ensemble deep learning approach

Emna Amri , Yonis Gulzar , Ashfak Yeafi, and 3 more authors

Modeling Earth Systems and Environment, 2024

Bib HTML PDF

@article{amri2024advancing,
  title = {Advancing automatic plant classification system in Saudi Arabia: introducing a novel dataset and ensemble deep learning approach},
  author = {Amri, Emna and Gulzar, Yonis and Yeafi, Ashfak and Jendoubi, Siwar and Dhawi, Faten and Mir, Mohammad Shuaib},
  journal = {Modeling Earth Systems and Environment},
  pages = {1--17},
  year = {2024},
  publisher = {Springer},
}

GSNet: a multi-class 3D attention-based hybrid glioma segmentation network

Md Tasnim Jawad , Ashfak Yeafi, and Kalyan Kumar Halder

Optics Express, 2023

Bib HTML PDF

@article{jawad2023gsnet,
  title = {GSNet: a multi-class 3D attention-based hybrid glioma segmentation network},
  author = {Jawad, Md Tasnim and Yeafi, Ashfak and Halder, Kalyan Kumar},
  journal = {Optics Express},
  volume = {31},
  number = {24},
  pages = {40881--40906},
  year = {2023},
  publisher = {Optica Publishing Group},
  url = {https://opg.optica.org/oe/fulltext.cfm?uri=oe-31-24-40881&id=542523},
}

A Semi-supervised Approach For Brain Tumor Classification Using Wasserstein Generative Adversarial Network with Gradient Penalty

Ashfak Yeafi, Monira Islam , Sohag Kumar Mondal , and 2 more authors

In 2023 6th International Conference on Electrical Information and Communication Technology (EICT) , 2023

Bib HTML PDF

@inproceedings{yeafi2023semi,
  title = {A Semi-supervised Approach For Brain Tumor Classification Using Wasserstein Generative Adversarial Network with Gradient Penalty},
  author = {Yeafi, Ashfak and Islam, Monira and Mondal, Sohag Kumar and Nashad, KM Ishraq Hussain and Yusuf, Md Salah Uddin},
  booktitle = {2023 6th International Conference on Electrical Information and Communication Technology (EICT)},
  pages = {1--6},
  year = {2023},
  organization = {IEEE},
}