bio

Hello world! I’m Tony Astuhuaman, a Computer Science student set to graduate from Missouri State University in May 2024. After graduation, I plan to pursue a Master’s in Computer Science (still awaiting a response).

I’m a research assistant in two labs: the Security and Artificial Intelligence Lab (SAIL), where my focus is on computer vision and virtual technology research, and the Computational Learning Systems Lab, which concentrates on bioinformatics and data science research. I like to explore various fields before applying for a PhD program.

In the summer of 2023, I delved into the principles of AI by taking CS221 at Stanford University.

Some of my interests include participating in hackathons, such as HackHarvard (Top 3 in the Accessibility Track) and the UC Berkeley AI Hackathon, and exploring the applications of computer vision and artificial intelligence in different fields such as traumatic brain injuries, virtual reality, education.

news

Nov 5, 2023	Got an offer as a Research Assistant in the CLS lab to do BioInformatics research!

latest posts

May 1, 2023	CNAS Undergraduate Research Symposium at MSU
Oct 16, 2022	Unforgettable Weekend at Harvard Hackathon

selected publications

Real-Time Hand Gesture Recognition for Drone Control Using Deep Learning

Tony Enrique Astuhuaman Davila, and Mohammed Y. Belkhouche

CNAS Spring Symposium, 2023

Abs

In this research, we present an approach for human-drone interaction through real-time hand gesture recognition using computer vision and deep learning techniques. Our system employs a Neural Network (NN) model to classify hand gestures captured by a camera mounted on the drone. The system demonstrates real-time performance and is capable of recognizing gestures with 98% accuracy. Future work could explore the integration of additional gestures for more complex drone maneuvers and improving robustness in diverse environmental conditions.