• Computational fiber imaging using digital holography and deep learning

    题目:Computational fiber imaging using digital holography and deep learning



    Light has the potential to recognize the development of diseases, to prevent them or to heal them early and gently. Traditionally, however, lens-based imaging results in bulky systems. We outline the 3D imaging with needle-sized, lensless multicore fiber endoscopes using holography. Deep learning is promising for label-free cancer
    diagnostics in neurosurgery using minimally invasive endoscopy. Besides biomedicine, data transmission with fiber networks will be highlighted. Multimode fibers show promise for improving data rates in optical communications but come with the challenge of compensating for scattering effects. Physics-informed deep learning
    enables to correct the scattering, resulting in advancing security and data rate. Fiber imaging promises advances in various fields such as information, biomedicine and environmental protection.详情>>

  • Can we perform Coherent Detection without DSP in Datacenter Interconnects?

    题目:Can we perform Coherent Detection without DSP in Datacenter Interconnects?



    Recently we have witnessed phenomenal demand for ever increasing bandwidth in datacenter networks driven by emergence of generative AI such as ChatGPT and Sora. There is consensus that coherent communication will gradually penetrate into shorter or shorter reaches in datacenter networks. In this talk, we propose the concept of quasi frequency-synchronous optical network (FSON) architecture in order to simplify coherent optical detection. We also will present a novel optical carrier phase recovery scheme based on optical phase-locked loop. We then will showcase the world-first polarization and phase demultiplexing of DP-QPSK signals in optical domain without employing electronic DSP. Our proposed DSP-free coherent detection provides an attractive solution for next generation datacenter transport with low cost and power consumption.详情>>

  • Structural Health Monitoring of Smart Composite Fuselage: A Building Block Approach

    题目:Structural Health Monitoring of Smart Composite Fuselage: A Building Block Approach



    In this talk, achievements but also challenges of application of SHM to a composite fuselage panel as part of the CleanSky2 core-partnership SHERLOC will be demonstrated. The SHM developments in SHERLOC has been included from the design phase of components, tailored to various manufacturing processes. Following the building block philosophy, the down selection and verification of various SHM technologies and methodologies have been demonstrated under the operational and environmental condition of a regional aircraft, demonstrating the survivability of the SHM components on board of the aircraft, as well as the reliability of the diagnosis. 详情>>

  • Computational Nanophotonics: Basics, Challenges and Future Perspectives

    题目:Computational Nanophotonics: Basics, Challenges and Future Perspectives


    地点:Link: https://meeting.tencent.com/dm/Evp2vGtjPPSJ Meeting ID: 195-539-397

    The talk will focus on plasmonics modeling issues and the failure of the classical electromagnetic solvers to accurately characterize the nano-plasmonic devices. Therefore, new accurate and stable beam propagation method will be introduced for analyzing plasmonics in the classical regime. The rigor of this approach is mainly because of relying on the finite elements method and the twice faster Blocked Schur algorithm which can exactly represent all the wide spectrum of radiation, evanescent, and surface modes produced by the strong discontinuity between metal and its surroundings. Moreover, in merging quantum plasmonic devices, it becomes essential to introduce “Quantum Corrected Model (QCM)” in order to accurately model these devices, and the basics of QCM will be also discussed.详情>>