Computational Mid-Infrared Microspectrometers Enabled by Metasurfaces
Mid-infrared spectroscopy provides rich molecular fingerprint information for chemical sensing, environmental monitoring, and biomedical analysis. However, conventional infrared spectrometers are often bulky and expensive, limiting their deployment in portable and distributed sensing applications.
In this seminar, I will present an overview of my research on computational mid-infrared microspectrometers enabled by metasurfaces. I will first introduce earlier work on plasmonic metasurface-integrated microspectrometers combined with microbolometer imaging arrays for chemical identification and gas sensing. These systems employ engineered spectral filter arrays and machine learning-assisted analysis to achieve compact and low-cost infrared sensing platforms.
I will then discuss recent efforts toward reconstructive microspectrometer architectures using narrowband metasurface filters and computational spectral reconstruction techniques. The talk will also cover practical considerations in calibration, thermal management, and imaging-based spectral reconstruction for compact infrared sensing systems.
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- University of Western Australia
- Fairway, Carpark 15, 3rd Floor
- Crawley, Western Australia
- Australia 6009
- Building: Electrical, Electronic and Computer Engineering Building (226)
- Room Number: Billings Room (303)
Speakers
Jiajun Meng of The University of Melbourne
Biography:
Dr. Jiajun Meng is a Research Fellow in the School of Physics at The University of Melbourne. His research focuses on metasurface-enabled optical systems, infrared microspectrometers, computational spectroscopy, and machine learning-assisted sensing technologies.