10月22日，清华-伯克利深圳学院Ercan E. Kuruoğlu教授应邀做客“信通论坛”，作了题为“Is the Gaussian distribution "Normal"?: Signal Processing with alpha-Stable Distribution Models”的学术报告，并与我校师生进行交流，本次活动由信息与通信工程学院崔国龙教授主持。

Kuruoğlu教授这次讲座主要六部分，首先对高斯噪声问题的应用背景进行了简单的介绍，并绘制了不同参数情况下的高斯噪声分布图，接着讨论加性噪声下高斯模型的适用性，然后提出问题，高斯噪声是否真的适用于所有场景?，又举出了一些例子，发现在某些情况下，把噪声定性为纯高斯噪声是不严谨的，对我们后续的分析和工作也会带来一定的误差，然后提出了α-stable噪声模型，另外介绍了其他几种可替代的噪声类型如泊松分布等，然后讨论不同噪声运用的背景和前提，在不同场景下选择合适的噪声模型，可以保证我们数据分析及模型刻画的准确性，为我们接下来的研究提供了可靠的前提，最后留下了开放性的问题：“不同噪声模型的使用边界”给师生进行探讨。

Kuruoğlu教授对不同噪声的特性和应用背景进行讲解，其讲座生动有趣，整个会议室氛围轻松活泼，收到了同学们的喜爱！

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Ercan E. Kuruoğlu acted as a technical co-chair for EUSIPCO 2006 and a tutorials co-chair of ICASSP 2014. He is a member of the IEEE Technical Committees on Signal Processing Theory and Methods, Machine Learning for Signal Processing and Image, Video and Multidimensional Signal Processing. He is a member of IEEE Signal Processing Society Data Challenges Committee. He was a plenary speaker at ISSPA 2010, IEEE SIU 2017, Entropy 2018, MIIS 2020 and tutorial speaker at IEEE ICSPCC 2012. He was a Chinese Government 111 Project Foreign Expert in 2007-2011. He was an Alexander von Humboldt Experienced Research Fellow in the Max Planck Institute for Molecular Genetics (2013-2014). Currently, he is a Visiting Professor in Tsinghua-Berkeley Shenzhen Institute. His research interests are in the areas of statistical signal and image processing and information theory with applications in remote sensing, computational biology, telecommunications, earth sciences and astrophysics.