Furqan
Zaheer
“Who are you? And who do you want to become?”
Hey! I'm Furqan, a Biology Co-op student at UBC drawn to biophysics, neurotechnology and engineering. I love complex systems, living and engineered, and the possibilities of biomorphic design.
I was part of UBC MINT's MindTap team, whose EEG-based smartphone-control project received the 2026 Innovation Award in honour of Ari Kinarthy at the Simon Cox Student Design Competition. UBC coverage · Team credit
My broader interests span nanotechnology, battery engineering, quantum science, computer architecture, deep learning, foundation models and ML infrastructure, alongside a love of community, entrepreneurship, deep-tech and neurotech.
Selected work & design explorations
Team participation, design studies and future ideas, with their stages distinguished below.
- Non-invasive EEG
- Machine learning
- Smartphone commands
Conceptual illustration of the project purpose, not a hardware configuration or measurement.
MindTap
I was a member of UBC MINT's MindTap team. The project uses non-invasive EEG and machine learning for hands-free smartphone control.
The team received the Innovation Award in honour of Ari Kinarthy at the 2026 Simon Cox Student Design Competition.
Purpose
An EEG-based assistive interface using machine learning for hands-free smartphone control.
Technical toolchain
Programming & Software
- Python
- TypeScript / JavaScript
- C / C++
- MATLAB
- React
- Node.js
Machine Learning & AI
- PyTorch
- TensorFlow
- Scikit-learn
- Signal Classification
- Time-Series Analysis
- Deep Learning
Neural Engineering
- EEG Signal Processing
- BCI System Design
- Electrode Montage Strategy
- Real-Time Biosignal Analysis
- Neurophysiology
Mathematics & Theory
- Linear Algebra
- Differential Equations
- Probability & Statistics
- Computational Theory
- Game Theory
- Biophysical Modeling
Systems & Infrastructure
- Linux / Unix
- Git / CI-CD
- Cloud Deployment
- API Design
- Database Architecture
Hardware & Lab
- Oscilloscope
- Microcontroller Programming
- Circuit Design
- Lab Equipment
- Data Acquisition
Reach out
For research collaboration, project discussions, or anything at the intersection of neural engineering, machine learning, and biological systems.