Home - Pier Luigi Dragotti - Imperial College London

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I am looking for PhD students interested in research in the area of high-dimensional data analysis and in the area of AI for imaging.

Jiakang secures third place at the community-wide data processing challenge for cryo-electron microscopy (CAHRA'26). Joint work with Vicky Xu and Doryen Bubeck. Well done, Jiakang!

Renke Wang wins the 2024 Eurasip 3M thesis competition.

Di You wins the best paper award at IEEE MMSP 2023 workshop.

Roxana Alexandru wins the Outstanding PhD Thesis Award 2021-22.

Jiaoyang Liu wins the 'Ivor Tupper Prize' for her MSc project under my supervision.

Xin Deng wins the Outstanding PhD Thesis Award, 2020-21.

Check out the start-up company funded by Loic Baboulaz a former PhD student of mine!

Adam wins gold at the Commonwealth Games!

Selected recent talks:

Computational Light-field Microscopy for Neuroscience, ETON talk at ICIP conference, Tampere, Finland, September 2026
Inverse Problems in the Age of AI, Keynote talk at IDEAL conference, Valencia, November 2024
Invertible Neural Networks and Their Applications, IEEE SPS Webinar, July 2024 (see also related papers link1 and link2.)
Timing is everything: model-based and learning-based reconstruction methods for event-driven cameras, Edinburgh, May 2023 (see also related papers link1 and link2.)

New Sparse Sampling Methods: Time-based Sampling and Sampling along Trajectories One World Signal Processing Seminars, December 2021

Recent manuscripts:

H. Wu, Di You, P.L. Dragotti and D. Gunduz "Lottery Prior: Randomized Neural Compression for Zero-Shot Inverse Problems", International Conference on Machine Learning (ICML) 2026. Spotlight paper.
C. Howe et al.,"Light-field deep learning enables high-throughput, scattering-mitigated calcium imaging", Proceedings of the National Academy of Science (PNAS), 2025. GitHub link to code (here).
Di You and P.L. Dragotti,"INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration", IEEE Journal of Selected Topics in Signal Processing, 2024 (open access). GitHub link to code (here)
H. Verinaz et al. "Physics-based Deep Learning for Imaging Neuronal Activity via Two-photon and Light-field Microscopy", IEEE Trans. on Computational Imaging, 2023, (Biorxiv version here)
Y. Su et al.A Fast Automatic Method for Deconvoluting Macro X-ray Fluorescence Data Collected from Easel Painting", IEEE Transactions on Computational Imaging, 2023.(code here).

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Professor Pier Luigi Dragotti

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