Professor Yves Rybarczyk from Dalarna University in Sweden Visits Our School for aLecture
On the afternoon of May 21, at the invitation of the School of Software and Internet of Things Engineering, Professor Yves Rybarczyk from Dalarna University in Sweden delivered an academic lecture titled "Data analytics: concept and application for air quality research" in Room H202, Huilu Building, South District, Mai Lu Campus. The lecture was presided over by Liu Yanqing, the director of the International Software Engineering Department of the School of Software and Internet of Things Engineering. Some teachers and all first-year graduate students from the school attended thelecture.
Starting with practical cases, Professor Yves systematically elaborated on the crucial role of data science methods in environmental research. Taking the changes in air quality during the COVID-19 pandemic as an example, he vividly demonstrated how to use data analysis techniques to accurately distinguish the impacts of policy interventions and natural factors on air quality. Particularly noteworthy is the "meteorological standardization model" developed by his team, which can effectively eliminate the interference of weather factors on pollutants, thereby more precisely assessing the impact of human activities on the environment and providing strong technical support for environmentalresearch.
On the methodological level, Professor Yves focused on important aspects such as data preprocessing, feature engineering, and model construction. He emphasized that high-quality data processing is the cornerstone of ensuring the reliability of research, and the rational selection of analysis methods directly affects the scientific nature of research conclusions. Through empirical research in Quito, Ecuador, his team successfully quantified the real changes in pollutant concentrations during the pandemic, providing solid scientific evidence for the evaluation of environmental policies and fully demonstrating the application value of data science in practical environmentalresearch.
At the end of the lecture, Professor Yves had an in-depth exchange with the teachers and students present on the development prospects of data science. He pointed out that interdisciplinary cooperation is an important way to promote innovation in environmental research. The cross-fusion of different fields can spark more innovation. He looks forward to collaborating with experts from more fields in the future to jointly tackle challenges in environmentalresearch.
This lecture provided a platform for our school's teachers and students to access international cutting-edge research methods and broadened their horizons in the field of data science and environmental research. The school stated that it will continue to actively invite well-known scholars from home and abroad to conduct academic activities in the future, promote the cross and innovative development of disciplines, and create a richer academic exchange environment for teachers andstudents.