FELIX WANG

About Me

Hello! I'm Felix Wang. I am a passionate creator focused on building devices and electronics that can positively help improve our world. My current interests are in the intersection between sustainability and hardware electronics. In my free time, I love to play pickleball and do stargazing!

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Nasal Cannula Detection Device

Healthcare & Embedded Systems

The Problem

Infant mortality rates in low-resource settings, such as Mulago National Referral Hospital in Uganda, are significantly impacted by nasal cannula dislodgement. With nurse-to-baby ratios up to 1:35, continuous monitoring is exceptionally difficult.

The Solution

We designed a low-cost (<$5) Arduino-based monitoring and alert system that detects dislodgement natively and rapidly alerts healthcare providers to prevent hypoxia.

Key Components

• Sensor: Embedded thermistor monitors skin temperature every 500ms.
• Alarm Box: 3D printed housing containing circuitry, battery, and alarming mechanisms.
• Circuitry: Activates an alarm if readings stay below a calibration threshold for 10 counts. Features 3 integrated LEDs: Green (Power), Yellow (Calibration), and Red (Dislodgement).

Testing & Results

• Integration: Seamless setup taking <5 mins. (Average attachment: 21.86s).
• Response Time: Alerts triggered within 1-3 minutes. (Average response: 17.29s).
• Accuracy: 100% true positives across 60 clinical trials.
• Reusability: Disassembled 50+ times with zero structural wear.

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Exoplanet Detection & Habitable Zone Analysis

Astrophysics & Data Science Research

This research strictly explores exoplanet detection using transit photometry from the TESS telescope, streamlining the process of importing MAST catalog time series data over to light curves to evaluate long-term habitability conditions.

Methodology

• Transit Photometry: Detecting astronomical brightness dips during planetary transits.
• Light Curve Analysis: Leveraged the Lightkurve Python library to reliably process and normalize TESS pixel files.
• Periodogram Analysis: Applied the Box Least Squares (BLS) algorithmic method for identifying exact orbital periods.
• Habitable Zone Calculation: Computed via stellar mass-luminosity relationships utilizing Astropy.
• False Positive Detection: Filtered dynamically utilizing Centroid tracking, background flux analysis, and eclipsing binary mapping.

Key Findings

• Deeply analyzed exactly 2,537 documented exoplanets and concluded that only 118 (4.7%) lie within viable habitable zones.
• Observed an overarching physical trend of discovered exoplanets orbiting extremely close to their host stars.
• Successfully identified the entity TIC 34798133 as a highly promising candidate for further deep-space telescope review.

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FOAK Fungal-Detection Device (MycoSpec)

Medical Hardware & Embedded Diagnostics

The Invisible Threat

HVAC systems create warm, humid, low-light environments—ideal conditions for fungal proliferation. For immunocompromised patients (e.g., post-transplant or chemotherapy patients), inhaled Aspergillus spores can cause invasive aspergillosis, a life-threatening pulmonary infection with mortality rates exceeding 50%.

The Device (How It Works)

MycoSpec is a compact, clip-on sensor module engineered to mount directly on standard HVAC vent fins—requiring no tools or disruption to operations. It constantly polls volatile organic compounds (VOCs), ambient temperature, and humidity to provide real-time mold risk assessments before visible growth ever appears.

Testing & Results

• Controlled experiments conducted in lab facilities simultaneously logged sensor readings for over ~350 seconds alongside active Aspergillus fumigatus cultures.
• Identified distinct bands of VOC detection between the negative control (no mold) and the positive clinical control.
• These thresholds formed an algorithmic classification boundary for LOW / MEDIUM / HIGH risk indicators output to a live dashboard.

Technical Challenges Overcome

Building a reliable mold detection system required overcoming fundamental real-world hurdles:

• Sensor Specificity: Filtering out real-world noise (cleaning agents, occupant activity, off-gassing materials) from ambient VOC logs to prevent false alarms.
• Mold Species Differentiation: Translating characteristic mixes of sesquiterpenes and alcohols from specific species like Aspergillus vs. Stachybotrys.

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