Through the past year and a half, I have been an undergraduate research assistant, contributing to groundbreaking projects in robotics, biomedical engineering, and machine learning, with a focus on developing innovative solutions such as advanced prosthetics, gesture recognition systems, and medical sensor technologies.
[Poster Presentations]
[Poster Presentations]
My Research Journey
Engaging in these diverse research projects has been a transformative experience, both professionally and personally. Each project challenged me to navigate complex problems, pushing the boundaries of my technical expertise while fostering a deeper appreciation for the human body and technology. Below is some of my work:
Tactile Sensing & Human Thinking
The human hand's dexterity and tactile sensitivity are unparalleled, making the development of prosthetic hands a profound challenge. Current solutions often fail to replicate the nuanced feedback and adaptability needed for daily tasks.
My work focused on integrating e-skin technologies to replicate tactile feedback and enhance grasping capabilities across diverse object shapes and textures. By developing a reflex arc mechanism, I am working on prosthetics to perform rapid surface identification and classification, mimicking natural reflexes.This project deepened my understanding of the interplay between biology and engineering.
Tactile Sensing & Human Thinking
The human hand's dexterity and tactile sensitivity are unparalleled, making the development of prosthetic hands a profound challenge. Current solutions often fail to replicate the nuanced feedback and adaptability needed for daily tasks.
My work focused on integrating e-skin technologies to replicate tactile feedback and enhance grasping capabilities across diverse object shapes and textures. By developing a reflex arc mechanism, I am working on prosthetics to perform rapid surface identification and classification, mimicking natural reflexes.This project deepened my understanding of the interplay between biology and engineering.
Gesture Recognition
Effective human-computer interaction depends on reliable and intuitive gesture recognition, yet existing systems often suffer from inaccuracies due to noisy input signals and interference. I designed deep learning architectures, including CNNs with reinforcement and one-shot learning, to classify gestures based on electromyography (EMG) signals. My work also introduced novel methods to mitigate crosstalk in HD-sEMG sensors, significantly enhancing signal integrity.
This project showcased the potential of advanced AI techniques to improve gesture recognition, opening pathways to more natural and seamless interactions between humans and machines, particularly in assistive devices and rehabilitation technologies.
Effective human-computer interaction depends on reliable and intuitive gesture recognition, yet existing systems often suffer from inaccuracies due to noisy input signals and interference. I designed deep learning architectures, including CNNs with reinforcement and one-shot learning, to classify gestures based on electromyography (EMG) signals. My work also introduced novel methods to mitigate crosstalk in HD-sEMG sensors, significantly enhancing signal integrity.
This project showcased the potential of advanced AI techniques to improve gesture recognition, opening pathways to more natural and seamless interactions between humans and machines, particularly in assistive devices and rehabilitation technologies.
Haptic Feedback in Robotic Surgery
While robotic surgery offers precision and stability, the absence of haptic feedback limits a surgeon's ability to feel and respond to the nuances of the procedure, which can be critical for patient safety.
I authored a poster highlighting the role of tactile sensing in bridging the gap between human intuition and robotic precision. I also explored cutting-edge sensing technologies that could restore the tactile element to robotic systems. This work expanded my perspective on how engineering can complement medicine, reinforcing my desire to develop technologies that prioritize both precision and patient outcomes.
While robotic surgery offers precision and stability, the absence of haptic feedback limits a surgeon's ability to feel and respond to the nuances of the procedure, which can be critical for patient safety.
I authored a poster highlighting the role of tactile sensing in bridging the gap between human intuition and robotic precision. I also explored cutting-edge sensing technologies that could restore the tactile element to robotic systems. This work expanded my perspective on how engineering can complement medicine, reinforcing my desire to develop technologies that prioritize both precision and patient outcomes.