🎓Electrical & Electronic Engineering graduate from the University of Dhaka, Bangladesh (First Class)
-Research focus: non-contact physiological sensing, Digital healthcare, AI/ML in healthcare
-Strong interest in Machine Learning & AI for healthcare
-Experienced in signal processing & ML pipelines
-I enjoy building end-to-end, deployable ML systems
-Volunteering experience with IEEE
- Wi-Fi CSI–based Respiration & Heart Rate Monitoring and random body motion removal
- CW Doppler Radar–based Vital Sign Sensing
- AI-based Smart Recycling Bin (Embedded + ML)
- Heart Disease Prediction (End-to-End ML Pipeline)
- Feature engineering & selection
- Classical ML, DL fundamentals
- EDA
- Model evaluation & deployment
- Visualization and analysis
- Time–frequency analysis (FFT, STFT)
- Filtering (IIR/FIR, adaptive, notch, etc.)
- PCA and ICA for dimensionality reduction and signal separation
- Empirical Mode Decomposition family
- Wireless sensing (Wi-Fi, Radar)
- Email: abrar.zarif.abir@gmail.com
- LinkedIn: Abrar Zarif
- ResearchGate: Abrar Zarif
“Turning signals into insights, and models into impact.”