Research interests: Image Processing, Computer Vision, Deep Learning, and Data Science.
I’m a researcher passionate about developing intelligent systems for underwater imaging, condition monitoring, and manufacturing applications.
My work centers on building machine learning and computer vision systems for quality control of production lines through advanced data analysis.
- 🎓 Ph.D. in Artificial Intelligence — Robert Gordon University, UK
Thesis: “Advanced modelling and analysis for quality assessment and enhancement of underwater multimodal imageries.” - 🧑🔬 Research Fellow — Warwick Manufacturing Group (WMG), University of Warwick
- 💡 Experienced in Image Processing, Deep Learning, Computer Vision, Data Analysis,
- 🔹 X-ray Diffaraction data analysis with deep transfer learning
- 🔹 Ultrasound Signal-based Material Characterisation using attention-augmented transformer models
- 🔹 SEM Image Segmentation for material analysis
- 🧠 Swin Transformer and generative adversarial networks for accurate battery electrode thickness prediction in manufacturing using ultrasound sensing — Journal of Power Sources (2025)
- 🌊 DICAM: Deep inception and channel-wise attention modules for underwater image enhancement — Neurocomputing (2025)
- 🎤 Presented at SPIE Sensors + Imaging (2024)
Languages: Python, MATLAB, C++
Frameworks: PyTorch, TensorFlow, OpenCV, scikit-learn
Other Interests: GANs for regression, multi-objective optimisation, and multimodal data fusion
- 🧑🔬 Google Scholar
- 📄 ResearchGate
- 📧 hamidreza.farhadi-tolie@warwick.ac.uk 📍 Coventry, England
⭐️ "Building intelligent systems that bridge perception and understanding"