Ashfak Yeafi

Graduate Research Assistant @ MSU, Kaggle Grandmaster, AI Researcher, Python Programmer

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yeafiashfak@gmail.com

East Lansing, Michigan, USA

About Me

I’m Ashfak Yeafi, a graduate researcher in Biosystems and Agricultural Engineering at Michigan State University (MSU). My current research work focuses on integrating Computer Vision and Hyperspectral Light Scattering Imaging to develop non-invasive methods for early-stage rot detection in fruits, particularly blueberries. This work aims to revolutionize quality control in the agricultural supply chain using advanced machine learning, computer vision, and spectral analysis techniques.

My long-term goal is to pursue a Ph.D. in Computer Science or AI, with a focus on vision-language models, generative AI, and transformer architectures applied to medical and agricultural imaging.


🎓 Academic Background

  • M.S. in Biosystems Engineering (May 2025 – Present)
    Michigan State University, USA
    Research: AI-driven rot detection using hyperspectral imaging

  • B.Sc. in Electrical and Electronic Engineering (2019 – 2024)
    Khulna University of Engineering & Technology (KUET), Bangladesh
    Thesis: 3D GAN & dynamic convolution for brain tumor segmentation


🔬 Research Interests

  • Computer Vision in Healthcare and Agriculture
  • Deep Learning (CNNs, RNNs, Transformers, Hybrid Models)
  • Hyperspectral and Multispectral Imaging
  • Biomedical Image and Signal Processing
  • Generative Models (GANs, VAEs, Diffusion Models)
  • Embedded AI with ROS, Gazebo, and real-time systems
  • Digital Agriculture & Non-destructive Testing

🤖 Technical Skills

  • Programming: Python, C, C++, C#
  • AI Frameworks: PyTorch, TensorFlow, Keras
  • Vision & Imaging: OpenCV, Scikit-image, Pillow
  • Web: Flask, HTML, Jinja2, WordPress
  • Robotics: ROS, Gazebo, Rviz, CMake
  • Modeling/Simulation: AutoCAD, Fusion 360, Simulink
  • EDA & Tools: MATLAB, Proteus, Excel, Tableau
  • Fabrication: 3D Printing, Laser Cutting, Cura, PrusaSlicer
  • OS: Linux (Ubuntu), Windows

🏆 Achievements

  • 🥇 Kaggle Datasets Grandmaster (Ranked #24 worldwide)
  • 🥈 Kaggle Notebook Master (Top 250)
  • 🛰️ Winner, Indian Rover Design Challenge 2024
  • 🛸 Software Sub-Team Co-Lead, KUET Mars Rover – Developed autonomous navigation system

🌐 Online Profiles

  • 🔗 GitHub – Research projects, tools, and open-source contributions
  • 🔗 Kaggle – Competitions, datasets, and notebooks
  • 🔗 LinkedIn – Professional profile
  • 🔗 Google Scholar – Research profile

📫 Get in Touch

I’m always open to research collaborations, internships, and discussions about AI in medicine, agriculture, or embedded systems.

  • 📧 Email: yeafiashfak@gmail.com
  • 🏛️ Department of Biosystems and Agricultural Engineering, Michigan State University
  • 🗓️ Available for academic collaborations, proposal writing, and paper reviews

“The true sign of intelligence is not knowledge but imagination.”
Albert Einstein

selected publications

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    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
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    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
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    GSNet: a multi-class 3D attention-based hybrid glioma segmentation network
    Md Tasnim Jawad , Ashfak Yeafi, and Kalyan Kumar Halder
    Optics Express, 2023
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    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
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    ADTNet: Attention-Guided U-Net with Dynamic CNN and Transformers for Skin Cancer Detection
    Ashfak Yeafi, and Liton Sarker
    In 2024 13th International Conference on Electrical and Computer Engineering (ICECE) , 2024
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    EF-SwinNet: A Hybrid EfficientNet-Swin Transformer Model for Skin Cancer Classification
    Liton Sarker , and Ashfak Yeafi
    In 2024 International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET) , 2024
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    A deep learning framework for 3D brain tumor segmentation and survival prediction
    Ashfak Yeafi, Monira Islam , and Md Salah Uddin Yusuf
    Healthcare Analytics, 2025
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    SwinTextUNet: Integrating CLIP-Based Text Guidance into Swin Transformer U-Nets for Medical Image Segmentation
    Ashfak Yeafi, Parthaw Goswami , Md Khairul Islam , and 1 more author
    In 2025 28th International Conference on Computer and Information Technology (ICCIT) , 2025
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    PrivEraserVerify: Efficient, Private, and Verifiable Federated Unlearning
    Parthaw Goswami , Md Khairul Islam , and Ashfak Yeafi
    In 2025 28th International Conference on Computer and Information Technology (ICCIT) , 2025
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    Machine Learning-Aided Microstrip Patch Antenna for Breast Tumor Detection Using Scattering Parameters
    Ashifa Islam Shamme , Ashfak Yeafi, and Md Shamim Ahamed
    In 2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) , 2025
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    Single-Shot Demodulation for Structured-Illumination Reflectance Imaging in Poultry Quality Assessment
    Ashfak Yeafi, and Yuzhen Lu
    In 2026 SPIE SPIE Defense + Security , 2026
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    Hyperspectral Structured-Illumination Reflectance Imaging for Early-Stage Rot Detection in Blueberries
    Ashfak Yeafi, Yuzhen Lu , Stephanie Rett-Cadman , and 2 more authors
    In 2026 SPIE SPIE Defense + Security , 2026