Yousuf E
- Research Program Mentor
PhD candidate at Princeton University
Expertise
Biomedical Engineering, Robotics, Neuroscience, Computational Neuroscience, Data Analysis, Machine Learning
Bio
Hi! My name is Yousuf. I studied biomedical engineering as an undergraduate at the University of Missouri and am currently pursuing a PhD in Neuroscience/Computational Neuroscience at Princeton University. For my current research, I am highly interested in the neural basis of decision-making and developing computational models to help us understand how the brain executes these decisions. Though my current field of study isn't engineering, I still love to tinker with arduino projects, robotics, and computer-aided design projects. Some of my other hobbies include rock climbing, cooking, and board games!Project ideas
Capillary Refill Time Measurement Device
Capillary refill time is a measure doctors often use to quickly assess dehydration in pediatric and emergency cases. It can be a key indicator for illnesses like diarrheal disease which result in high fluid loss. Health professionals currently test this by pinching or applying pressure to fingers, the chest, or forehead and count the amount of time it takes for normal color to return. Project: Research this problem, create a prototype solution, and write a research report on your solution. The solution could involved an arduino project, computer-aided design to 3d print something, and some basic data analysis.
Seizure Detection
Diagnosing patients with seizure through electroencephalography (EEG) can be a tedious task requiring trained professionals' hours of labor to examing recordings. Many researchers have developed their own methods of seizure detections. Project: Research the various methods, implement them yourself in python/matlab, and write a research paper comparing the performance of a few methods.
Neural Encoding/Decoding Models
How does the brain encode various stimuli? Research basic encoding/decoding models to try and predict stimuli presented from neural data, or try to predict neural data from stimuli presented using publicly available data.