Interfaces between bodies, sensors, and computation.
I am interested in analog and mixed-signal systems that make
real-world and physiological signals useful for low-power
interaction and intelligent sensing.
In progress
sEMG onset detection & feature extraction
I am developing a mixed-signal design for detecting the onset of muscle activity and extracting features from surface electromyographic signals. This project brings together my interests in analog circuits, physiological sensing, and computation close to the sensor.
Research path
My preparation draws on Hajimiri's, Razavi's, and Carusone's Analog Electronics Lecture Series, and Carsten Wulff's AIC 2025 series.
Published work
Published · 2025
An End to End Wearable Device and System for
Indefinite, Continuous, Real Time Gesture
Recognition of Directional and Shape-Based Arm
Gestures
IEEE Access · Gambo et al. · 2025
Foundational work on a real-time wearable
gesture-recognition system for device control,
combining wearable hardware, inertial sensing,
haptic feedback, a 5,000-sample dataset,
real-time classification across 10 gestures, and a low-latency custom API.
Gestures from the Complex Segment of the Training Dataset
Previous work / research
EMG analog front-end circuit.
EMG analog front end
An independent analog front-end
exploration for EMG signal acquisition,
with comparisons between differing implementations and commercial variants. First foray into Analog signal acquisition.
Oscilloscope capture from the front end.
sEMG Front-end and Signal Amplification Stages.
Notebook
As the IC project develops, this page will collect
dated schematics, simulation results, layout
captures, design decisions, and lessons.
