ASDRP
As a researcher at the Aspiring Scholars Directed Research Program (ASDRP), I’ve had the opportunity to dive into cutting-edge projects that combine my passion for STEM with real-world applications. My work focuses on the intersection of AI, machine learning, and physics, where I’ve tackled some exciting challenges:
Physics-Informed Neural Networks for Aerodynamic Design
This project focused on improving the efficiency of airfoil designs by leveraging Physics-Informed Neural Networks (PINNs). We designed and optimized machine learning algorithms that integrate the principles of fluid dynamics to enhance aerodynamic performance. By applying AI to solve traditional engineering challenges, We aimed to create solutions that could contribute to more energy-efficient transportation and aviation systems.
Presented at ASDRP Summer 2024 Research Symposium and Expo
Presented at ASDRP 2025 Research Symposium and Expo
Crop Disease Identification with AI
Recognizing the growing challenges in sustainable agriculture, this project aims to create a robotic system that uses a convolutional neural network (CNN) to autonomously scan and identify diseases in crops. This system integrates real-time image processing and robotics to provide farmers with an efficient tool for early disease detection, potentially improving crop yields and reducing resource wastage.
Dynamic Hand Gesture Recognition
This project developed a robust system for real-time hand gesture recognition using multiple deep learning architectures. The system utilizes advanced computer vision techniques to interpret hand gestures, enabling applications such as sign language translation and gesture-based control systems for devices. This research involved extensive training of convolutional neural networks and careful optimization to ensure accuracy and responsiveness in real-world scenarios.
Presented at ASDRP Summer 2023 Research Symposium and Expo
