Keynote Speakers

We're searching for more keynote speakers! The Committee of CSAE2020 take effort to invite outstanding speakers consistent with the goal of making CSAE reflective of the high standards of excellence. Experts in the area of computer science and application engineering are welcome to join the conference. In principle, the applicant should be above associate professor, researchers, and engineers.

If you would like to join as CSAE keynote speaker, please send your latest CV, recent photo, speech title, abstract to

Ali Emrouznejad
Professor and Chair in Business Analytics
Aston University, United Kingdom

Title: Big Data, AI and Machine Learning with applications in Engineering
Abstract: In this talk we first explain three main characteristics related to big data including: 1) the huge amounts of data created every day and in various form from different sources, 2) artificial intelligence tools to mine information from these data and 3) effective algorithms that speed the data mining in real time. We then provide recent developments of applications related to Big Data, AI and Machine Learning in Engineering.

Kang Zhang
Department of Computer Science, The University of Texas at Dallas, USA

Title: Computational Aesthetics and Aesthetic Computing
Abstract: In this talk, we will introduce the recently emerging interdisciplinary research topics of computational aesthetics and aesthetic computing, and discuss their difference and complementary roles. As a case study, the theories and practices of abstract painting and their existing and potential applications in information visualization will be presented in the context of aesthetic computing. We discuss the three dimensions of painting, i.e. form, color, and texture, various visual cognition principles, and finally aesthetic compositions used in abstract painting. Our objective is to bridge visual art with information visualization, so that the latter could learn from the former in creating more aesthetic visualizations and thus making the viewers visualizing process a pleasant experience. In the context of computational aesthetics, we provide a classification scheme on the complexity of intelligence used in computerized paintings. We will mention our recent efforts in producing various styles of abstract paintings. Other research project in information visualization at the UTD Visual Computing Lab will also be briefly mentioned.