Area of research
Electrical and Electronic Engineering · Materials Chemistry
Research interest
Research interests include Perovskite Materials and Applications, Quantum Dots Synthesis And Properties, AI in cancer detection, and Machine Learning in Materials Science.
Unlocking the potential of digital pathology: Novel baselines for compression
Contrastive virtual staining enhances deep learning‐based <scp>PDAC</scp> subtyping from H&E‐stained tissue cores
MemBrain v2: an end-to-end tool for the analysis of membranes in cryo-electron tomography
LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages
Process Insights into Perovskite Thin‐Film Photovoltaics from Machine Learning with In Situ Luminescence Data
Discovering Process Dynamics for Scalable Perovskite Solar Cell Manufacturing with Explainable AI
In Situ Photoluminescence Imaging Dataset of Blade-Coated Perovskite Photovoltaics