Welcome To Uday RAGE Home Page


News: Our papers have been accepted for the publication in PAKDD 2023.

About Myself

Prof. RAGE Uday Kiran is an IEEE Senior member. He is working as an Associate Professor at the Division of Information Systems, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan. He is also a visiting researcher at the University of Tokyo and the National Institute of Information and Communications Technology, Tokyo, Japan. Uday received his Ph.D. degree in computer science from the International Institute of Information Technology, Hyderabad, Telangana, India.

Uday's main research topic is Data Science (DS), emphasis on pattern mining, knowledge graphs, tensors, intelligent transportation systems, and air pollution analytics. He published a book in Springer titled "Periodic Pattern Mining: Theory, Algorithms, and Applications." In addition, Uday has 100+ peer-reviewed publications covering top-tier conferences and journals in multiple disciplines, such as ICDE, EDBT, CIKM, SSDBM, PAKDD, IEEE FUZZY, ICONIP, IJCNN, IEEE BIGDATA, DSAA, DASFAA, IEEE ACCESS, Knowledge Base Systems, Applied Intelligence, Information Science, and Journal of Systems and Software.

Uday won the prestigious Japan Society for the Promotion of Science Kakenhi Grant (2020-2024). He also won several competitive research grants at the university level. Uday has been active in the research community by serving as the publicity co-chair for PAKDD 2024, IEEE ICDM 2022 and PAKDD 2021, publication co-chair for DASFAA 2022, and publication chair for BDA 2022. Uday is also serving/served as a PC-member for IEEE FUZZ, CIKM, PAKDD, DASFAA, DEXA, and BDA.

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Associate Professor
Leader of Intelligent Transportation Systems Cluster.
Email: udayrage@u-aizu.ac.jp

Phone : +81-80-4834-0999

Office : +81-242-37-2541 (Ext. 3115)