Susan Sun

Susan Sun is a Research Fellow at Swinburne University of Technology's School of Science, Computing and Emerging Technologies. Her research focuses on integrated nonlinear optics, microwave photonics, and neuromorphic computing, with a PhD from Swinburne (2020–present) and prior degrees from Beijing Institute of Technology (Bachelor, 2012–2016) and Beijing University of Posts and Telecommunications (Master, 2016–2019). She has authored 13 SCI journal papers, including high-impact works in Advances in Optics and Photonics and IEEE Journal of Selected Topics in Quantum Electronics, with over 600 citations and an H-index of 9.

Her work emphasizes optical microcomb applications in high-speed signal processing, feedback control systems, and neuromorphic computing architectures. Recent contributions include microcomb-based microwave photonic transversal filters, graphene oxide-enhanced nonlinear optics, and ultra-high bandwidth optical neural networks. She is a member of Optica and IEEE, and serves as a reviewer for Optics Continuum.

Key research themes include optimizing microcomb-based systems for precision and scalability, exploring novel materials (e.g., graphene oxide) for integrated photonics, and advancing optical solutions for real-time data processing and AI applications. Her lab integrates theoretical modeling with experimental validation, targeting innovations in both discrete and integrated photonic platforms.