Stanislav Grigoriev, associate professor at INRTU, joins the organizing committee of the international IT forum in China
The history of the event started 10 years ago. For the past three years, Australian universities have been the venues for the conference. Because of the pandemic, the last conference was organized in a mixed format with the support of the Swinburne University of Technology and the University of Wollongong. More than 100 leading engineers and scientists in the field of information and communication technology (ICT) participated. The authors focused on technological advances and research results in the field of intelligent computing and applications.
The only Russian representative on the organizing committee was Stanislav Grigoriev. The polytechnic student was invited to join the expert committee by his Chinese colleagues, whom he met during an internship in Switzerland. The Irkutian was presented with the works of researchers from Asia-Pacific countries, including China, the Philippines, Thailand, Singapore and Australia.
According to the IRNITU staff member, many of the papers focused on creating smart infrastructure for megacities using AI technologies. Developers talked about applications involving the implementation of smart and unmanned transport, application of artificial intelligence in healthcare and education.
"Special attention was paid to the topic of developing smart manufacturing. This is the phased use of network technologies, such as the internet of things, cyber-physical systems and analytical mathematical models such as neural networks," the polytechnic stressed.
In addition, Li Wenzhe and Shi Yongjie, graduates of Irkutsk Technical University from the People’s Republic of China, spoke on the discussion platform. This year they graduated from the joint English-language master’s programme Digital Technologies, Networks and Big Data of INRTU and GC Forus.
Under the guidance of Stanislav Grigoriev, the young people prepared their theses related to the development and implementation of intelligent recommendation systems based on Big-Data in various spheres of life.
Li Wenzhe is the author of paper on the Implementation of the Demographic-based Recommendation Algorithm using Big Data. It focuses on the application of unstructured socio-demographic big data about the users of various services for the implementation of recommendation algorithms.
The title of Shi Yongjie’s research project is Design and Implementation of a Hybrid Recommender System Based on Apache Spark. The research concerns the implementation of hybrid recommender systems based on Apache Spark, a framework for cluster computing and large-scale data processing.
«Both papers received high praise from the conference experts. The graduates successfully defended their projects in June 2022 and received a master’s degree in Information Systems and Technology. As a result of their participation in the conference, two articles will be published in a collection indexed in Scopus," emphasises Stanislav Grigoriev.