位于欧洲核子中心（CERN）的大型强子对撞机（LHC）将于2029 年升级为高亮度LHC（HL-LHC）。对撞亮度的提高会产生严重的事例堆积效应，并伴随着更强的辐射环境。低增益雪崩二极管（LGAD）是一种新型的高精度硅基时间探测器，具有10-50倍的增益，时间分辨率可达30ps。基于LGAD的高颗粒度时间探测器（HGTD）设计方案将用于LHC上ATLAS实验中时间探测器的建造，并承受2.5×1015neq/cm2的等效中子辐照通量。提高LGAD 的时间性能和抗辐照性能是目前的重要研究方向。本报告将介绍抗辐照超快LGAD的研发工作：（1）影响LGAD时间分辨率的因素以及优化研究；（2）研发碳离子注入工艺大幅提高了LGAD的抗辐照性能，达到了目前国际最优的抗辐照性能；（3）超快ASIC与HGTD探测器模块的研发；（4）同时具有高精度时间和空间分辨率的新型交流耦合LGAD（AC-LGAD）的研发，可用于未来中国环形正负电子对撞机（CEPC）中4D径迹探测器的建造。

1. 通过信息素养的方法获取研究选题； 2. 通过使用检索工具，获取学科领域的研究热点和研究趋势； 3. 聚焦研究选题，通过文献调研，阅读文献对选题进行细化分析。

报告题目：Joint Dimension Assignment and Compression for Deterministic Parameter Vector Estimation in Distributed Multisensor Networks 报告摘要： This talk considers distributed estimation of an unknown deterministic parameter vector in a bandwidth constrained multisensor network with a fusion center (FC). Due to the stringent bandwidth requirements, each sensor compresses its observation as a low-dimensional vector via a linear transformation. Then, the FC linearly combines all received compressed data to estimate the deterministic parameter vector based on the best linear unbiased estimator. The problem of interest is to jointly design the dimension assignment (i.e., the compression dimension of each sensor) and the corresponding compression matrix when the total number of compression dimensions is given. Such a joint design problem is formulated as an optimization problem with rank and linear matrix equality constraints, which is shown to be NP-hard for the first time. In addition, penalty decomposition (PD), successive quadratic upper-bound minimization method of multipliers (SQUM-M), and SQUM-M-block coordinate descent (SQUM-M-BCD) are proposed to solve it approximately. Furthermore, we show that any accumulation point of the sequence generated by the PD satisfies the Karush-Kuhn-Tucker conditions of the equivalent formulation of the joint design problem; the SQUM-M admits the same convergence property as the PD under some conditions. Numerical experiments corroborate the merits of PD and SQUM-M-BCD as compared with existing strategies for the heterogeneous scenario, and further illustrate the effectiveness of the proposed algorithms for the correlated noise case.

针对新工科核心课程，分享采取基于OBE模式重构全课程分步式目标链，在PBL架构下全新课程的设计方法和实践效果。

介绍Holoscopic 3D成像技术及其应用，包括相机开发、微手势识别数据集构建、机器学习系统搭建、图像模拟器开发和应用领域探索。