Mitigating Component Nonlinearity Across a Wide Palette of Neural Networks
We apply neural networks for compensation of nonlinearities from a gamut of device impairments: laser phase noise, digital-to-analog converters quantization, power amplifier saturation, micro-ring modulator nonlinearity, etc. We propose solutions spanning direct and coherent detection with neural networks with various structures and complexity.
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- Lishui Road 2279 (丽水路2279号)
- Xili University Town, Nanshan District
- Shenzhen, Guangdong
- China
- Building: Information Building (信息大楼)
- Room Number: Room 501
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Leslie
Biography:
Leslie Ann Rusch is a Full Professor of Electrical and Computer Engineering at Université Laval and holds the Tier-1 Canada Research Chair in Communications Systems Enabling the Cloud. A Fellow of both the IEEE and Optica, her pioneering research spans high-speed optical transmission, silicon photonics, and wireless communications.
She has mentored over 60 graduate students and postdoctoral fellows, driving global innovations in fiber transmission and optical modulators. Professor Rusch has co-authored over 200 journal papers and holds seven patents. Her research has accumulated 12,457 citations on Google Scholar with an h-index of 53.