Aidan Hogg
Lecturer In Computer Science at Queen Mary University of London
Stony Stratford, England, United Kingdom
Summary
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Senior🎓
Top SchoolAidan Hogg is a Lecturer in Computer Science at Queen Mary University of London and an Honorary Research Associate at Imperial College London, bringing eight years of experience at the intersection of deep learning and spatial acoustics. He focuses on immersive audio and statistical signal processing, translating PhD-level research in speech and audio processing into teaching and applied projects. His background spans academic research roles and industry internships—ranging from FPGA and PCB design to speech diarisation and low-power audio codec work—giving him uncommon practical depth across hardware and ML-driven audio systems. Aidan maintains an active research presence (www.aidanhogg.uk) and is skilled at moving novel spatial audio models toward real-world VR and audio engineering applications.
8 years of coding experience
4 years of employment as a software developer
PhD - Speech and Audio Processing, Department of Computing / Department of Electrical and Electronic Engineering, PhD - Speech and Audio Processing, Department of Computing / Department of Electrical and Electronic Engineering at Imperial College LondonGCSEs, A levels, Mathematics, Further Mathematics, Physics, Electronics, Computing, EPQ, GCSEs, A levels, Mathematics, Further Mathematics, Physics, Electronics, Computing, EPQ at Verulam School
English
Stackoverflow
1reputation
68reached
0answers
1question
Github Skills (16)
voice-activity-detection9
speaker-diarization8
overlapped-speech-detection8
change-detection8
speaker-verification8
speech-processing8
speech8
speaker-recognition7
pytorch7
e-mail6
html6
php6
signal-processing6
spatial-audio5
machine-learning-algorithms5
Programming languages (4)
Github contributions (5)
ahogg/hogg2019-icassp-paper
Dec 2019 - Sep 2022
Contributions:5 commits, 9 pushes, 1 branch in 2 years 9 months
Contributions:17 commits, 9 pushes in 10 months
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