AI Methods are Solving Complex Beam-forming Antenna and Radio Systems

Описание: Abstract: Intelligent antenna and radio systems, which can optimize valuable radio resources in a highly complex and unpredictable mobile environment, are essential for all emerging millimeter-wave systems including 5G/6G networks, mobile satellite communication, and high-resolution automotive radar. Ultimate complexity of massive antenna arrays with numerous embedded beam-forming active control devices cannot be handled by traditional direct engineering analysis and design methods.

Speaker Bio: Milad Khaki is currently working on his postdoc in the Cognitive Neurophysiology and Developing Brain lab. His main research interest includes the optimization of practical research problems using constraint programming and a diverse set of techniques adopted from Artificial intelligence and Machine Learning. His works spans from Satellite Phased Array antenna optimization, Big Data analysis of Smart water meter data, to the standardization of data and machine learning-based analysis in Water construction projects. He is currently involved with several projects in Dr. Martinez-Trujillo’s lab, including working memory and 3d representation in rhesus macaque monkeys and applications of AI in Epilepsy.