Research Area: HCI, BCI, Accessibility

Supervisor: Ahmed Arif

• Lead engineer in designing and developing an EEG- based depression identification tool using brain-computer interface (BCI) technology

• Recorded and preprocessed brain signal data (EEG) using Brain Products’ 64-channel EEG device and Brain Vision software

• Designed and developed an experimental protocol for collecting EEG data

• Developed a machine learning framework to identify depressed groups using MATLAB

Languages: Python

Frameworks/ Tools: Spyder, Matlab, EEGLab, Figma

Skills Developed: Data Analysis, Data Visualization, UI Design, EEG Signal Processing, Presentation, Graphics Design, Leadership, Time Management, Analytical

• Developed a correlation-based (Pearson’s Correlation Coefficient) translation of electroencephalogram (EEG) signals and obtained a 97% accuracy with the deep learning algorithm convolutional neural network (CNN)

• Visited local clinics and autism care centers to gather knowledge about autistic children and their treatment process

Languages: Python

Frameworks/Tools: Spyder, Jupyter Notebook, Google Colab, Matlab, EEGLab

Skills Developed: Data Analysis, Data Visualization, EEG Signal Processing, Presentation, Research, Leadership, Time Management, Analytical

• Taught undergraduate students (3rd-4th year)

Courses taught: Algorithm Design and Analysis (Fall 23),

 Introduction to Human Computer Interaction (Spring 24),

 Introduction to Human Computer Interaction (Fall24)

• Developed a vendor panel website using Django

• Worked with team members to build python modules in Odoo

Languages: Python, JavaScript, Html, CSS

Frameworks/Tools: Django, Odoo, Pycharm, VS Code

Skills Developed: Web Development, Team Player, Time Management

• Developed a computer vision-based IoT architecture for post COVID-19 prevention measures

• Build a deep learning-based face-mask identifier (with mask, no mask, improper mask) with a 99.88% accuracy

• Taught programming languages (Python, C++) to school students

• Gave presentations at conferences and competitions

Languages: Python, C++, Arduino

Frameworks/Tools: OpenCV, Spyder, Google Colab, Jupyter Notebook

Skills Developed: Data Analysis, Data Visualization