Javad Sheikh

Javad Sheikh

Doctoral Researcher at

University of Turku

About me

I’m a Machine Learning Engineer with a strong background in deep learning, currently pursuing a doctorate in Information and Communication Technology. My expertise lies in developing and deploying machine learning solutions, with a particular focus on computer vision and time series analysis. I’ve worked on projects involving satellite imagery, medical imaging, and mobile AI applications—translating complex research into practical, real-world tools.

I’ve contributed to EU-funded research initiatives like AI-ARC,EIS, and AIMEX, collaborating with interdisciplinary teams to apply AI in the maritime and mining sectors. Passionate about bridging theory and practice, I aim to build intelligent systems that are both innovative and impactful.

Download my Curriculum vitae.

Interests
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Data Science
Education
  • D.Sc. in Information and Communication Technology, 2023-present

    University of Turku

  • M.Sc. in Artificial Intelligence & Robotics, 2018-2021

    Amirkabir University of Technology

  • B.Sc. in Biomedical Engineering, 2013-2018

    Amirkabir University of Technology

Skills

pytorch
PyTorch
tensorflow
TensorFlow
python
Python

Experience

 
 
 
 
 
University of Turku
Doctoral Researcher
Jul 2022 – Present Turku, Finland
  • Developing computer vision models for segmentation and prediction using satellite data (SAR, AMSR2).
  • Published multiple peer-reviewed papers on remote sensing, sea ice mapping, and mineral prospectivity.
  • Created a data augmentation technique (SEDA) to improve learning from imbalanced datasets.
  • Collaborate with cross-functional research teams in machine learning and environmental science.
 
 
 
 
 
Ponisha
Freelance Developer
Ponisha
Apr 2019 – Mar 2022 Tehran, Iran
  • Built a TensorFlow Lite-based Android app to detect diabetic retinopathy using DenseNet.
  • Designed a sensor-driven weighing system (Lysimeter) for monitoring soil moisture levels.
  • Developed a brain surgery simulator with real-time haptic feedback and embedded electronics.
 
 
 
 
 
Sibbank
Mobile Application Developer
Sibbank
Sep 2018 – Sep 2019 Tehran, Iran
  • Developed and deployed an OCR SDK used in banking apps by the Agriculture Bank of Iran.
  • Trained lightweight CNN models for mobile use, optimizing performance on low-end Android devices.
  • Worked closely with QA and design teams to ensure consistent accuracy and usability across devices.

Certifications

Gained the career-building Python skills need to succeed as a data scientist
See certificate
Tehran ACM Chapter
Deep Learning Summer School 2018

Deployed different Deep learning architectures:

  • Convolutional neural network
  • Recurrent neural network
  • Generative adversarial networks
Tehran Institute of Technology
Android Pack
Learned how to develop android application.
General Office of Scientific Association and Olympiad Affairs
fMRI Workshop
Tehran Institute of Technology
SCJP Java Programming Essentials
Learned Java Programming Essentials.

Recent Publications

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(2017). Fuzzy predictive controller for chaotic flows based on continuous signals. Chaos, Solitons & Fractals.

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