Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems even above the level of human beings. On the one hand it allows data to be analyzed by real-time models that enable unprecedented levels of accuracy and efficiency. On the other hand it enables domain specific problem solving and knowledge discovery that cannot be easily done by humans. 

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Transdisciplinary AI 2019 (TransAI 2019), technically sponsored by the IEEE Computer Society, is an international forum focusing on the interactions between artificial intelligence (AI) and other research disciplines. It consists of themes that each addresses the applications of AI  to a specific research discipline as well as how domain specific applications may advance the research on AI. 

The TransAI themes address two dimensions--technology and academic research domains so that technologies can be mapped to domain applications. The technology dimension includes, but is not limited to, the following: 

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• Semantic and cognitive aspects in different academic research domains

• Innovative operations using artificial intelligence

• Immersive environments

• Multimodal interactions

• Human/agent interactions

• Domain-specific problem solving

• Machine and deep learning

• Modelling of behaviour and activity generation

• Big data and analytics

• Dialogue modeling and generation

• System components of intelligent platforms for industries

• Robotic intelligence

• Methods for bringing AI foundations to application domains

• Societal issues around AI (ethical, legal, and social implications)

• Mathods for bridging expert- and data-driven AI systems

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The conference proceedings will be submitted to the IEEE Xplore® and/or IEEE Computer Society Press digital library. Distinguished quality papers presented at the conference will be selected for the best paper/poster awards and for publication in internationally renowned journals (SCI, EI, and/or Scoups indexed).