The propagation of short and intense laser pulses in an optical fiber is known to be associated with a rich landscape of nonlinear propagation scenarios and multidimensional dynamical regimes. For example, in the coherent regime, soliton dynamics can lead to the generation of a broadband supercontinuum while in the incoherent regime noise amplification can lead […]
Computational imaging systems are based on the joint design of optics and associated image reconstruction algorithms. Of particular interest in recent years has been the development of end-to-end learned “Deep Optics” systems that use differentiable optical simulation in combination with backpropagation to simultaneously learn optical design and deep network post-processing for applications such as hyperspectral […]
On the occasion of the 50th anniversary of the prediction of optical solitons, I feel instructive to revisit the connections between ultrafast laser dynamics and solitary waves through a few milestones. The concepts of conventional (Hamiltonian) and dissipative solitons have been found to echo, oppose, or complement each other in the understanding of original dynamical […]
Spectral analysis is one of the most widely adopted techniques in various fields of scientific research, industrial production, and medical diagnostics. Yet, traditional spectrum detection techniques often require the setup of spectroscopic components, photodetector arrays, and mechanical positioning parts and so on. The relatively large size of those instrumentations may limit their applicability for small-scale […]
In this talk, the design dilemma of "What will be different between near-field communications (NFC) and far-field communications (FFC)?" is discussed from four perspectives. (1) From the channel modelling perspective, the differences between near-field and far-field channel models are discussed. (2) From the performance analysis perspective, analytical results for characterizing the degrees of freedom and […]
Estimating depth from images is a fundamental problem in many computer vision applications such as autonomous driving and robot navigation. Stereo matching is a solution to this task, which finds the matching correspondences between stereo image pairs and recovers the depth through triangulation. However, despite recent stereo matching networks achieving impressive performance given sufficient training […]
This work presents a novel algorithm for source localization based on Time Difference of Arrival (TDoA) measurements. We proposed a robust variant of the classic least-squares solution that improves the precision and robustness of the localization technique in the presence of heavily noisy measurements, including those with non-line-of-sight (NLOS) errors, which could be caused by […]
As the world moves towards the new era of post-covid and new world order brought about by innovative industries and digital economy, Web3.0 serves as the social fabric in everybody's daily life. Biography of the speaker: Prof. James Lei is Secretary General of Institute of Web3.0 Hong Kong, founder of Meta Metopia, New Paramount Technology, […]
Gate screening effect has been demonstrated to play a significant role in enhancing the carrier mobility of MOS-based thin-film transistors (TFTs) with high-k gate dielectrics. Typically, higher gate carrier concentration results in stronger gate screening effect, leading to increased carrier mobility in the channel layer. However, recent research has revealed a significant reduction in the […]
This lecture will briefly overview use of queueing and optimization models to engineer circuit (telephone) and packet-switching networks. It will highlight use of distributed optimization theory, based on which the well-known Transport Control Protocol (TCP) is shown to allocate communication bandwidth in a distributed and optimal way on the Internet. As for wireless networks, channel […]