Projects
I like building things. Here are some cool things I have built so far.
At First Contact: Vibrations Encode Object Stiffness
Have you ever noticed that when we grasp objects, one finger almost always makes
contact before the others? Perhaps not, because this millisecond-scale gap is
negligible to human perception. However, prosthetics and robotics can certainly take
advantage of
it. I used vibrations from this initial contact window to estimate object stiffness,
enabling potential grip modulation by the other fingers.
Pneumatactors: Soft Multimodal Haptic Interfaces
Presurgical Risk Stratification using ECGs
Our deep learning fusion model integrates preoperative ECG waveforms with clinical
data to outperform traditional risk scores in predicting major postoperative
outcomes. By using counterfactual ECGs, it offers interpretable insights, linking
waveform features to risk. This innovation paves the way for personalized,
actionable interventions in surgical care.
Simulating Intracortical Microstimulation in MATLAB
This project uses MATLAB to simulate decision-making for intracortical
microstimulation in the somatosensory cortex, optimizing tactile feedback during a
pinch task. By modeling electrode placement and stimulation parameters, it advances
understanding of sensory feedback for prosthetics.
ContROLLcraft - Minecraft Controller for the Differently Abled
Introducing our innovative Minecraft contROLLer! Crafted to emulate a mouse and
keyboard experience, this unique device is exclusively foot-operated. With one
box dedicated to movement control—walking, running, and direction via a
precision roller—and another for jumping, crouching, and block interactions,
this controller brings a new level of immersion to your Minecraft adventures.
Electrophysiological Correlates of Prospective Sense of Agency
The feeling of being in control of our actions, known as the Sense of Agency, is
a fascinating aspect of human experience. This sensation, rooted in the brain's
response to the consequences of our actions, underpins our perception of
autonomy and active engagement in the world. Neuroscience seeks to unravel the
complexities behind this phenomenon, offering insights that span philosophy,
psychology, robotics, and AI. In this project, we delve into how the brain
generates this sense of control, examining the interplay of cognitive processes
and sensory feedback.
Deep Learning based MRI Processing and Skull Stripping
In neuroimaging, skull stripping is vital for removing non-brain tissue from
scans, improving accuracy in analysis, segmentation, and 3D modeling. While
traditional methods are dependable, they struggle with large, multi-scanner
datasets. Deep learning, powered by U-Net architectures, provides a faster, more
efficient solution, robust against scanner variability.
Wild Blueberry Harvester Automation
Wild blueberries, celebrated for their bold flavor and nutrient richness, grow
close to the ground in rocky terrains, posing challenges for automated
harvesting. To address this, I developed a camera-vision-based system to
automate berry volume measurement and bin switching during harvesting. This
project was funded by Mitacs Globalink, a prestigious program supporting top
undergraduates from 17 countries for fully funded summer research in Canada.
Hand Rehabilitation Device for Acute Burn Patients
The Hand Rehabilitation Device specifically targets the MCP, DIP, and PIP joints
of the fingers, providing focused therapy for acute burn patients. This
affordable solution facilitates essential exercises to restore mobility and
function in these critical joints. Its low-cost design ensures accessibility for
patients requiring effective rehabilitation.
TinyMLevator: Smart Elevator using Embedded ML
Embedded ML at it's current pace is finding applications in every nook and
cranny of the world. TinyMLevator brings it to the elevator industry. It
consists of two main parts: detecting people and recognizing speech to enable a
user standing in front of the elevator to simply speak where he intends to go.
As easy as that!
PicoBoo: Thermal Security System with Motion Tracking
PicoBoo utilizes thermal imaging and lightweight CNNs as the foundation for its
security system, operating on a Raspberry Pi. Using data from a FLIR
T420bx Thermal Imaging Camera, we created a human image training dataset,
implementing an optimized EfficientNet-Lite neural network for high-accuracy
human tracking in thermal camera video streams. The detections are displayed
through a web app for easy browser access.
CovPrev: App-enabled COVID-19 Symptom Testing Unit
During the COVID-19 pandemic, the need for safety measures like
social distancing and sanitization could not have been understated. Enter
CovPrev: an affordable unit targeting
crucial symptoms—high body temperature and low SpO₂ levels—with specialized
sensors. Deployable in bustling areas, CovPrev integrates a sanitization spray,
thermometer, pulse oximeter sensors, and a data analysis system accessible
through a cross-platform app.
