CV
Education
2018 – 2022
Ph.D. in Computer Science
Télécom Paris · Polytechnic Institute of Paris, France
- Thesis: Personalized Audio Auto-Tagging as Proxy for Contextual Music Recommendation
- Supervisors: Dr. Gaël Richard, Dr. Geoffroy Peeters, Dr. Elena V. Epure
2016 – 2018
M.Sc. in Computer Science
National University of Singapore, Singapore
- Thesis: Recommending Music for Language Learning: The Problem of Singing Voice Intelligibility
- Supervisor: Dr. Ye Wang
2014 – 2016
M.Sc. in Software Engineering
Nile University, Cairo, Egypt
- Thesis: Primary-Ambient Separation of Audio Signals
- 🏆 Best Thesis Award
- Supervisors: Dr. Mahmoud Allam, Dr. Stefan Uhlich
2010 – 2014
B.Sc. in Electronics Engineering
Fayoum University, Egypt
Work Experience
2025 – Present
Senior Audio Research Scientist
Serato · Auckland, New Zealand
- Develop next-gen beat detection and low-latency stem separation powering Serato creator products (Serato DJ Pro, Serato Studio).
- Designed tempo-tracking pipeline robust to genre shifts, swing, and drift.
- Provide technical leadership across research and product; mentor junior scientists and engineers.
2023 – 2024
Research Scientist
Emobot · Paris, France
- Led research on speech emotion recognition, increasing accuracy to 96%, impacting healthcare applications with real-time responsiveness.
- Supervised research interns and junior researchers, leading projects from inception to prototype development.
2022 – 2023
R&D Project Manager
Arkamys · Paris, France
- Led research project on road noise cancellation for vehicles.
- Managed end-to-end audio/ML project lifecycles from planning and resourcing to delivery and production.
2018 – 2022
Research Scientist
Deezer Research · Paris, France
- Developed and implemented contextual music recommendation models, improving recommendations used by 10 million users.
- Conducted large-scale data collection and analysis to create music auto-tagging models for varying listening moods.
- Supervisor: Dr. Elena V. Epure
Mar – Aug 2018
Research Intern
IBM · Singapore
- Designed and trained NLP-based question answering systems using Markov Logic Networks.
2016 – 2018
Research Assistant
National University of Singapore · Singapore
- Built evaluation system for singing-voice intelligibility to support language-learning music recommendation research.
Aug 2015 – Feb 2016
Research Intern
Sony Stuttgart Technology Center · Stuttgart, Germany
- Developed algorithms for primary-ambient source separation for audio up-mixing.
- Developed the first neural network based solution for primary-ambient source separation.
- Supervisor: Dr. Stefan Uhlich
Selected Publications
- Ibrahim, K. M., Perzo, A., Leglaive, S. "Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion." ICASSP 2024, Seoul, Korea.
- Ibrahim, K. M., Epure, E. V., Peeters, G., Richard, G. "Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts." ISMIR 2022, Bengaluru, India.
- Ibrahim, K. M., Epure, E. V., Peeters, G., Richard, G. "Should we consider the users in contextual music auto-tagging models?" ISMIR 2020, Montreal, Canada.
- Ibrahim, K. M., Epure, E. V., Peeters, G., Richard, G. "Confidence-based Weighted Loss for Multi-label Classification with Missing Labels." ICMR 2020, Dublin, Ireland.
- Ibrahim, K. M., Royo-Letelier, J., Epure, E. V., Peeters, G., Richard, G. "Audio-Based Auto-Tagging With Contextual Tags for Music." ICASSP 2020, Barcelona, Spain.
Achievements
2018
Marie Skłodowska-Curie Fellowship
2017
Singapore International Graduate Award (SINGA)
2016
Best Thesis Award
Nile University
2013
Award of Distinction
Fayoum University
Skills
- Technical
- Python · PyTorch · TensorFlow · Signal Processing · Machine Learning
- Research
- Experimental Design · Data Collection & Analysis · Model Evaluation · Visualizations
- Soft Skills
- Project Management · Team Leadership · Mentorship · Communication · Public Speaking
- Hobbies
- Guitar · Drums · Squash · Football
Languages
- Arabic Native
- English Fluent
- French B2
- German A2