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Michalis N. Zervas

NIHR Southampton Biomedical Research Centre · GB
🔎 Find collaborators in Electrical and Electronic Engineering · Atomic and Molecular Physics, and Optics →
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Area of research
Electrical and Electronic Engineering · Atomic and Molecular Physics, and Optics
Research interest
Research interests include Photonic and Optical Devices, Advanced Fiber Optic Sensors, Advanced Fiber Laser Technologies, and Optical Network Technologies.
h-index
49
citations
10,646
works
565
NIH funding
primary concept
email

Recent publications

Efficient phase identification in coherent beam combination using interpretable deep learning
Optics Express 2026cited by 0position: contributordoi
Coherent modal engineering: a perspective on fiber splice optimization
Optics Express 2026cited by 0position: contributordoi
Coherent beam combination via deep learning using differential mapping
Optica 2026cited by 0position: contributordoi
Deep learning-based reconstruction of irregular laser ablation crater geometry from single plasma projection
Machine Learning: Engineering 2026cited by 0position: contributordoi
High-efficiency multi-spot beam generation with an all-fiber SMF-SCF structure
Optics Express 2025cited by 1position: contributordoi
Selective laser cleaning of microbeads using deep learning.
2025cited by 1position: contributordoi
Modifying the severity and appearance of psoriasis using deep learning to simulate anticipated improvements during treatment.
2025cited by 1position: contributordoi
Classifying paint colour using acoustic data from laser ablation
Optical Materials Express 2025cited by 0position: contributordoi
Exploring five types of beam shaping using tiled-aperture coherent beam combining
Communications Engineering 2025cited by 0position: contributordoi
Laser induced forward transfer imaging using deep learning.
2025cited by 0position: contributordoi
Pollen image manipulation and projection using latent space.
2025cited by 0position: contributordoi
Diatom Lensless Imaging Using Laser Scattering and Deep Learning.
2025cited by 0position: contributordoi
Deep learning for simultaneous phase and amplitude identification in coherent beam combination.
2025cited by 0position: contributordoi
Waveguide-enhanced Raman spectroscopy
Nature Reviews Methods Primers 2024cited by 16position: contributordoi
Effect of Scattering Loss on Optimization of Waveguide Enhanced Raman Spectroscopy
Journal of Lightwave Technology 2024cited by 1position: contributordoi
Imaging pollen using a Raspberry Pi and LED with deep learning.
2024cited by 1position: contributordoi
Single-step phase identification and phase locking for coherent beam combination using deep learning.
2024cited by 1position: contributordoi
Multiframe-based non-local means denoising for Raman spectra
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2024cited by 0position: contributordoi
Spatial analysis of femtosecond laser generated plasma using principal component analysis.
2024cited by 0position: contributordoi
Live imaging of laser machining via plasma deep learning
Optics Express 2023cited by 11position: contributordoi
Visualizing laser ablation using plasma imaging and deep learning
Optics Continuum 2023cited by 9position: contributordoi
Acoustic and plasma sensing of laser ablation via deep learning
Optics Express 2023cited by 8position: contributordoi
Transverse mode instability in fiber laser oscillators
Optics Express 2023cited by 8position: contributordoi
Predictive visualization of fiber laser cutting topography via deep learning with image inpainting
Journal of Laser Applications 2023cited by 4position: contributordoi
Phase identification despite amplitude variation in a coherent beam combination using deep learning
Optics Continuum 2023cited by 3position: contributordoi
Predictive visualisation of high repetition rate femtosecond machining of silica using deep learning
Optical Materials Express 2023cited by 3position: contributordoi
Grating-incoupled waveguide-enhanced Raman sensor.
2023cited by 0position: contributordoi
Single step phase optimisation for coherent beam combination using deep learning.
2022cited by 6position: contributordoi
Morphology exploration of pollen using deep learning latent space
IOP SciNotes 2022cited by 5position: contributordoi
Whispering Gallery Mode Resonances in Thermally Poled Borosilicate Glass Hetero-Fibers
Journal of Lightwave Technology 2022cited by 4position: contributordoi

Grants

No grants ingested yet.

Frequent collaborators

· 29 papers (2019–2026)Ben Mills · University of Southampton13 papers (2021–2026) · 12 papers (2021–2026)Michalis N. Zervas · University of Southampton5 papers (2025–2026)Michalis Zervas · University of Southampton5 papers (2025–2026)Professor Michalis Zervas · University of Southampton5 papers (2025–2026)James S. Wilkinson · Institute of Physics5 papers (2020–2024)Ganapathy Senthil Murugan · University of Southampton4 papers (2019–2019) · 3 papers (2025–2026)James Grant-Jacob · University of Southampton3 papers (2025–2026)Matt Praeger · University of Southampton3 papers (2021–2025)Zhen Liu · Pennsylvania State University3 papers (2024–2024)Yunhui Xie · University of Southampton3 papers (2025–2026)Shahab Bakhtiari Gorajoobi · Microsoft Research (United Kingdom)3 papers (2019–2019)Mohamed A. Ettabib · New York University Abu Dhabi2 papers (2021–2024)Mohd Narizee Mohd Nasir · University of Southampton2 papers (2019–2019)Yongmin Jung · Yonsei University2 papers (2020–2025)Natasha Vukovic · University of Southampton2 papers (2019–2025)Jaclyn Chan · Oxford Lasers (United Kingdom)2 papers (2019–2021)Alexander F. Courtier · University of Southampton2 papers (2021–2023)
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