The Data Analytics Lab explores various topics related to large-scale data analysis. We are specifically interested in:
Traditional database and query processing
Big data processing and analytics
AI, machine learning, and data mining
In the Data Analytics Lab, students conduct theoretical and applied research to address issues in various fields, including smart manufacturing, agriculture, smart energy, and healthcare.
If you are interested in data analytics and want to study in a truly international environment, contact Prof. Aziz Nasridinov at aziz(at)chungbuk.ac.kr.
[Mar 1, 2025] Dr. Kim, a graduate of our lab, has been appointed a Tenure-Track Professor
[Jun 15, 2024] Paper accepted in Scientific Reports [SCIE, IF: 3.8 Q1]
[Apr 22, 2024] A graduate of our lab got a job at the Ministry of Food and Drug Safety (식품의약품안전처)
[Nov 1, 2023] Short paper accepted at AAAI2024
[Sep 25, 2023] Paper accepted in Materials & Design [SCIE, IF: 8.4 Q1]
[Jun 22, 2023] Paper accepted in International Journal of Multimedia Information Retrieval [SCIE, IF: 5.6 Q1]
[Jan 2, 2023] Paper accepted in Soft Computing [SCIE, IF: 3.732]
[Nov 1, 2022] Short paper accepted at AAAI2023
[Aug 1, 2022] Our lab was selected to participate in the Korea-Europe international joint research project
[Mar 2, 2022] Three new members joining our lab
[Dec 1, 2021] Paper accepted at ACM SAC 2022
[Nov 1, 2021] A graduate of our lab got a job at LG Energy Solutions
[Jul 23, 2021] Paper accepted in IEEE Transactions on Computational Social Systems [SCI(E), IF: 4.747]
[Jun 15, 2021] Paper accepted in IEEE Transactions on Service Computing [SCI(E), IF: 11.019]
[Jun 1, 2021] A graduate of our lab got a job at SK Planet
[Dec 1, 2020] Paper accepted at ACM SAC 2021
[Sep 3, 2020] Short paper accepted at UBICOMP2020
[Jun 16, 2020] Poster paper accepted at SIGGRAPH2020
[Nov 1, 2019] Short paper accepted at AAAI2020