High Voltage Machine Learning, Image and Signal Processing
Start: Summer 2022 | Expected Effort: 5-10 Hrs/Wk
Location: GT Campus 90% | NEETRAC (Off-Campus) 10%
Background
Clearance and Creepage is one of our most exciting research that sits in a conventional field of high voltage flashover research. We research insulation designs in various application scenarios, especially under diverse ambient climate conditions. The next move of this project is to make use of all available approaches to gather and analyze electrical, photographic, and audio signals. Right now, the flashover tests are being monitored by the oscilloscope, photographed by an SLRD camera, and acoustically recorded by portable audio recording devices.
Compensation: Hourly Pay
Responsibilities
- Participate DC flashover tests (optional)
- Applying machine learning with data sets
- Digital image processing on photos of flashover
- Signal processing on acoustic recordings of flashover
Requirements
- Currently enrolled as Georgia Tech student (any campus, remote also works)
- Experience with popular machine learning tools (including but not limited to Matlab and Python)
- Experience with practical digital image processing algorithm
- Experience with acoustic signal processing
What to expect
- A concise yet effectively collaborated team built with graduate students
- Golden chance of applying machine learning, image processing, and signal processing with high voltage applications
- Journal/conferences publication co-authorship opportunities
- Potential influence/contribution on IEEE/IEC standards
- Share your work with a larger group of researchers within and without Georgia Tech
