IAI 2021 Special Sessions

Special Session 1: AI in Remote Sensing

Session organizers: Peng Wang by e-mail (Pengwang_B614080003@nuaa.edu.cn), Nanjing University of Aeronautics and Astronautics (NUAA). And Xu Li by e-mail (lixu@nwpu.edu.cn), Northwestern Polytechnical University.

Artificial intelligence (AI) is an explosively growing field of computer science which is expected to transform many aspects of society in a profound way. The artificial intelligence as a high-quality technical means has been proven that it can overcome many challenges in remote sensing. This session will cover a broad set of research topics about advances in artificial intelligence in remote sensing, including but not limited to the following:

  • Application of AI in remote sensing
  • Latest remote sensing applications
  • Advantages of AI in remote sensing
  • Challenges using artificial intelligence
  • Significant impact of remote sensing
  • How AI affects remote sensing
  • Trends in remote sensing
  • Using AI in remote sensing for safety purposes
  • Importance of AI in remote sensing


Special Session 2: AI in Signal & communication

Session organizers: Lixin Li by e-mail (lilixin@nwpu.edu.cn), Northwestern Polytechnical University. And Junyi Wang by e-mail (wangjy@guet.edu.cn), Guilin University of Electronic Technology.

Artificial Intelligence (AI) approaches including Deep Learning (DL), deep reinforcement learning (DRL), transfer learning (TL), federated learning (FL), distributed learning, well known from computer science disciplines, are beginning to emerge in the communications and signal processing. These system models and algorithms designed with AI technology greatly improve the performance of communication systems based on traditional methods.The goal of this Special Session is to disseminate the latest research and innovations on Artificial Intelligence for Communications and Signal Processing. Suitable topics for this Special Session include, but are not limited to, the following areas:

  • AI based channel modeling
  • AI based multiuser detection
  • AI based modulation and coding
  • AI for millimeter wave technologies
  • AI based direction-of-arrive estimation
  • AI based modulation signal classification
  • AI based 5G/6G communication
  • AI based beamforming in massive MIMO
  • AI based Radar techniques
  • AI based unmanned aerial vehicles (UAVs) techniques
  • Other emerging AI based communications technologies


Special Session 3: AI in Advanced Data Analytics

Session organizers: Wencai Du by e-mail (georgedu@cityu.mo), City University of Macau. Simon Xu by e-mail (Simon.xu@algomau.ca), Algoma University.

Advanced data analytics and deep learning are two high-focus of data science. Big Data has become key assets for many public and private organizations for dealing with problems such as national intelligence, cyber security, fraud detection, marketing, and medical informatics. Companies or organizations are analyzing large volumes of data for business analysis and decisions, impacting existing and future technologies in both data analytics and deep Learning. Deep Learning deduces high-level, complex abstractions as data representations through a hierarchical learning process. A key comparative advantage in Deep Learning is the analysis and learning of huge amounts of unsupervised data, making it a valuable tool for Advanced Data Analytics, especial for Big Data Analytics where raw data is largely unlabeled and uncategorized.

  • Big Data Science and Foundations
  • Big Data Infrastructure
  • Big Data Management
  • Big Data Search and Mining
  • Ethics, Privacy and Trust in Big Data Systems
  • Hardware/OS Acceleration for Big Data
  • Big Data Applications