In recent years, there has been a surge of research in the interfaces between signal processing, machine learning, mathematical optimization, statistics, information theory, data mining, and wireless communication, leading to new powerful signal and information processing techniques as well as efficient and intelligent algorithms for important applications. The Interdisciplinary interplay has been greatly beneficial for scientific problem resolution and technology development, while nowadays, in-depth interdisciplinary research is imperative with emergences of new science problems and technology demands. The goal of this workshop is to feature recent advances in the field and highlight emerging challenges and applications, and promote interdisciplinary exchanges and integration. The workshop will bring together leading researchers in signal processing, communications and optimization from academia, industry and government, and will showcase recent new results on algorithmic methods and complexity analyses in diverse areas such as cognitive radar, resource allocation, target tracking, waveform optimization, SAR, sparse representation, ground penetrating radar and sea clutter suppression.

The SIILP workshop will be organized in the style of science and technology lectures. Certainly, ample time for interactions between speakers and local participants will be provided during and after lectures.