Domaniç Lavery
researcher ORCID ID = 0000-0003-4494-4786
Facts
7 properties- Instance of
- human
- Occupation
- researcher
- Employer
- University College London (2013–present)[2]
- Educated at
- University College London (2009–2013), Durham University (2005–2009)[3][4]
- Official website
- www.ee.ucl.ac.uk[6]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Domaniç Lavery
es D Lavery
🔖 Identifiers · 7
- ORCID iD
- 0000-0003-4494-4786
- OpenAlex ID
- A5058574391as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 160/8781
- Gateway to Research person ID
- 290D7AF0-4CC2-4CCB-9AF6-760C66450AF6
- IEEE Xplore author ID
- 38029610200
- ResearcherID
- D-9172-2011
- Scopus author ID
- 36150800300
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 15
A Closed-Form Expression to Evaluate Nonlinear Interference in Raman-Amplified Links,
Deep Learning for Communication over Dispersive Nonlinear Channels:\n Performance and Comparison with Classical Digital Signal Processing,
End-to-End Deep Learning of Optical Fiber Communications,
End-to-end optimized transmission over dispersive intensity-modulated channels using bidirectional recurrent neural networks,
Equalization enhanced phase noise in Nyquist-spaced superchannel transmission systems using multi-channel digital back-propagation,
Experimental characterization of nonlinear interference noise as a process of intersymbol interference,
Geometrically-shaped 64-point Constellations via Achievable Information Rates,
Increasing the information rates of optical communications via coded modulation: a study of transceiver performance
+7 more
← Authored by 15
A Closed-Form Expression to Evaluate Nonlinear Interference in Raman-Amplified Links,
Deep Learning for Communication over Dispersive Nonlinear Channels:\n Performance and Comparison with Classical Digital Signal Processing,
End-to-End Deep Learning of Optical Fiber Communications,
End-to-end optimized transmission over dispersive intensity-modulated channels using bidirectional recurrent neural networks,
Equalization enhanced phase noise in Nyquist-spaced superchannel transmission systems using multi-channel digital back-propagation,
Experimental characterization of nonlinear interference noise as a process of intersymbol interference,
Geometrically-shaped 64-point Constellations via Achievable Information Rates,
Increasing the information rates of optical communications via coded modulation: a study of transceiver performance
+7 more
Affiliated with 2
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Summary
Domaniç Lavery worked as a researcher[1].
Body
Education
Educated at University College London[3], a university college[7], in United Kingdom[8], founded in 1826[9], headquartered in UCL Main Building[10] and Durham University[4], a collegiate university[11], in United Kingdom[12], founded in 1832[13], headquartered in Durham[14].
FAQs
What did Domaniç Lavery do for work?
Domaniç Lavery worked as researcher[1].
Where did Domaniç Lavery go to school?
Domaniç Lavery was educated at University College London[3] and Durham University[4].