Areas of Expertise
- Deep learning
- data mining
- recommendation system
- genome analysis
Politics & Economy
Political Risk Analysis (2016–)
Received his PhD from the Graduate School of Frontier Sciences, University of Tokyo. Worked as a researcher in the Department of Neurology, University of Tokyo Hospital, University of Tokyo, and as a researcher in the Communication Technology Lab, Fuji Xerox, Japan.
Publications and Conference Papers
- S. Kato, T. Nakanishi, H. Shimauchi, B. Ahsan, Topic Variation Detection Method for Detecting Political Business Cycles, In Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT '19). ACM, New York, NY, USA, 85-93 (2019).
B. Ahsan, S. Kato, T. Nakanishi, H. Shimauchi, Augmenting Political Data through Generative Adversarial Networks (GANs), Paper presented at the 115th American Political Science Association's Annual Meeting (2019).
S. Kato, H. Shimauchi, T. Nakanishi and B. Ahsan, Detecting Political Business Cycles through the Prime Minister’s Daily Schedule, Paper presented at the 77th Annual Meeting of the Midwest Political Science Association (2019).
- Ahsan and S. Morishita, “Novel Method to Quantify the Distribution of Transcription Start Site,” International Journal of Biometrics and Bioinformatics, 6(5), 105-112 (2012).
- Ahsan, T.L. Saito, S. Hashimoto, K. Muramatsu, M. Tsuda, A. Asaki, K. Matsushima, T. Aigaki, and S. Morishita, “MachiBase: A Drosophila Melanogaster 5’-end mRNA Transcription Database,” Nucleic Acids Research, 37 (Database issue), 49-53 (2009).
- Ahsan, D. Kobayashi, T. Yamada, M. Kasahara, S. Sasaki, T.L. Saito, Y. Nagayasu, K. Doi, Y. Nakatani, W. Qu, T. Jindo, A. Shimada, K. Naruse, A. Toyoda, Y. Kuroki, A. Fujiyama, T. Sasaki, A. Shimizu, S. Asakawa, N. Shimizu, S. Hashimoto, J. Yang, Y. Lee, K. Matsushima, S. Sugano, M. Sakaizumi, T. Narita, K. Ohishi, S. Haga, F. Ohta, H. Nomoto, K. Nogata, T. Morishita, T. Endo, S. Tadasu, H. Takeda, Y. Kohara, and S. Morishita, “UTGB/Medaka: Genomic Resource Database for Medaka Biology,” Nucleic Acids Research, 36(Database Issue), 747-752 (2008).