
Zafar Ahmad
Level 1
Biomedical Signal Processing, Audio and Music Engineering
Compétences

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Portfolio
Expérience professionnelle
Research Assistant
Qatar University • Temps plein
May 2023 - Present • 3 yrs
• Developed 5-class phonocardiogram classification using 1D CNN with pitch-shifting augmentation, achieving 99.6% accuracy, 99.8% specificity, 99.2% sensitivity (published at EUSIPCO 2024 as first author) • Developing Copula-based Coupled Hidden Markov Models (Copula-CHMM) for simultaneous ECGPCG analysis to investigate dependency structures between electrical and mechanical cardiac activity • Contributing to 8-class pediatric heart disease classification using parallel multi-scale analysis (journal paper under compilation for IEEE JSTSP, November 2025) • Co-authored research grant proposal on simultaneous PCG-ECG signal analysis, submitted to Qatar University Office of Research Support (ORS) Internal Grants (September 2025)
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ragein
Client récurrent

États-Unis
As always Zafar was receptive, involved and exceeded all expectations. He was knowledgeable of the subject and went above and beyond in delivering a final product.
ragein
Client récurrent

États-Unis
Zafar, is a consumate professional who went above and beyond to get the concepts right and to ask great follow up questions. He keeps timelines and even for a not so tech person made me understand the steps and the processes. I will definitely work with him again in the future.
ragein
Client récurrent

États-Unis
Zafar understood the assignment and delivered exactly what I was looking for. Will definitely work with him in the future.
samwell640
Client récurrent

Royaume-Uni
samwell640
Client récurrent

Royaume-Uni
