Dr Shailza Sharma
Computer Vision AI Data Scientist
"I am passionate about exploring how AI can solve real-world problems that matter. I enjoy working at the intersection of technology and science, collaborating with interdisciplinary teams to translate cutting-edge deep learning research into meaningful, tangible impact. "
Shailza Sharma works as a Computer Vision AI Data Scientist in the Environmental Intelligence Group at PML. She brings expertise in generative modelling, deep learning, computer vision, and satellite image analysis. She holds a PhD in Artificial Intelligence, with a focus on generative modelling architectures for computer vision.
Her work spans real-world environmental and geospatial applications, including volcanic deformation forecasting from InSAR satellite data and terrain map reconstruction, developed during her time as a Research Fellow at the University of Leeds. At PML, she is developing AI-based deep learning models to analyse and interpret underwater imagery, supporting marine science, ecosystem understanding, and biodiversity monitoring. Her broader research interests include Vision Transformers, diffusion models, GANs, and spatio-temporal modelling.
Key Projects
Deep Vision: AI-enabled Mapping of Vulnerable Marine Ecosystems in the Atlantic
Selected Publications
Shailza Sharma and Vinay Kumar (2021). An Efficient Image Super Resolution Model with Dense Skip Connections. Expert Systems with Applications. DOI: https://doi.org/10.1016/j.eswa.2021.115780
Shailza Sharma, Abhinav Dhall and Vinay Kumar (2022). Frequency Aware Face Hallucination GAN with Semantic Structural Constraint. Computer Vision and Image Understanding. DOI: https://doi.org/10.1016/j.cviu.2022.103553
Shailza Sharma, Abhinav Dhall, Vinay Kumar and Vivek Singh (2023). Dual Stage Semantic Information Based Generative Adversarial Network for Image Super Resolution. ICVGIP’23. DOI: https://doi.org/10.1145/3627631.3627646
Shailza Sharma, Vivek Singh, Abhinav Dhall, Vinay Kumar (2025). Speech-aided Facial Video Super-Resolution with Accurate Lip Motion and Enhanced Frequency Details. Machine Vision and Applications. DOI: https://doi.org/10.1007/s00138-025- 01699-4
Vivek Singh, Shailza Sharma, Fabio Cuzzolin (2024). Feature Boosting with Efficient Attention for Scene Parsing. Neurocomputing. DOI: https://doi.org/10.1016/j.neucom.2024.128222
Vivek Singh Bawa, Shailza Sharma, Mohammed Usman, Abhimat Gupta and Vinay Kumar (2021). An Automatic Multimedia Likability Prediction System Based on Facial Expression. IEEE Access. DOI: https://doi.org/10.1109/ACCESS.2021.3102042
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