Pier Luigi Dragotti
Professor of Signal Processing
Develops interpretable model-based neural networks for computational imaging such as microscopy and art investigation.
Pier Luigi Dragotti's lab at Imperial works on computational imaging & photography, medical image analysis and trustworthy & safe ML. 12 papers since 2023, 2 at top venues, mostly Neural Networks and PNAS. 7 PhD students. 32 alumni, most often to Huawei and IKOS CIF Ltd. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 17%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 32
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 1
- 2 papers2024 · T1 1
- 5 papers2023 · T1 0
T1 venuesOtherVenues: Neural Networks, PNAS, TIP
Research focuspaper titles that use each topic's words
- Computational imaging & photography4 papers
- Medical image analysis3 papers
- Trustworthy & safe ML0 papers
- develops interpretable0 papers
- art0 papers
Paper list
From the lab homepage.
20262 papers
- 74"SING: Semantic Image Communications Using Null-Space and INN-Guided Diffusion Models" (opens in a new tab)
- —Playing with Time: Dilation and Time Encoding
20253 papers
- IEEE Trans on Pattern Analysis and Machine Intelligence"A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal" (opens in a new tab)
- Neural Networks"Enhanced accuracy in first-spike coding using current-based adaptive LIF neuron" (opens in a new tab)
- PNAS (T1)"Light-field deep learning enables high-throughput, scattering-mitigated calcium imaging" (opens in a new tab)
20242 papers
- IEEE Journal of Selected Topics in Signal Processing"INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration" (opens in a new tab)
- TIP (T1)"Model-Based Explainable Deep Learning for Light-Field Microscopy Imaging" (opens in a new tab)
20235 papers
- IEEE Transactions on Computational Imaging, .(codeA Fast Automatic Method for Deconvoluting Macro X-ray Fluorescence Data Collected from Easel Painting (opens in a new tab)
- ", Frontiers in NeuroscienceFirst-spike coding promotes accurate and efficient spiking neural networks for discrete events with rich temporal structures (opens in a new tab)
- ProcessingLearning-based Reconstruction of FRI Signals (opens in a new tab)
- IEEE Transactions on Computational ImagingPhysics-based Deep Learning for Imaging Neuronal Activity via Two-photon and Light Field Microscopy (opens in a new tab)
- —Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from Events (opens in a new tab)
Where alumni went32 listed, 27% to industry
Industry 3Academia 8
Most often to
- Huawei
- IKOS CIF Ltd
- Schlumberger-Doll Rersearch Labs
Also to
- Beihang University
- Birmingham University
- Deusto University
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Confirmed on the program page.
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0 T1 - USMIT
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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