About us

Mathematical Engineering Laboratory offers education and research on various circuits for information transmission, analog/digital signal processing, and modern digital communication systems, based on circuit theory, nonlinear theory, information theory, probability theory and communication theory. Main research topics of this laboratory are as follows: 1) analysis and design methods associated with large scale integrated circuits, 2) theoretical and experimental clarification of complicated phenomena in nonlinear circuits including neural networks as well as their application to signal processing technology, 3) construction of digital chaos systems based on nonlinear theory and their application to digital communication networks, 4) basic problems in information theory and related areas.

News & Topics

2024.2
(2/5)Associate Professor Tesshu Hanaka was selected “SOFSEM2024 Best Paper Award” and “WALCOM2024 Best Paper Award”.
2023.11
(11/19)The following paper has been accepted for publication in IEEE Access.
2023.10
(10/30)Professor Jun'ichi Takeuchi was awarded a title of "Distinguished Professor".
2023.8
(8/24)Assistant professor Yoshinari Takeishi had a poster presentation at ICIAM2023 .
  • Yoshinari Takeishi, Masazumi Iida, Jun'ichi Takeuchi,“Characterizing Eigenspaces of Fisher Information Matrix in Simple ReLU Networks”
(8/15)Shota Kawanaka (M1 student) had a presentation at AsiaJCIS2023.
  • Shota Kawanaka, Yoshikatsu Kashiwabara, Kohei Miyamoto, Masazumi Iida, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi,“Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads”
2023.7
(7/29)Kei Oshio (M2 student) had a presentation at COMPSAC2023.
  • Kei Oshio, Satoshi Takada, Tianxiang He, Chansu Han, Akira Tanaka, Takeshi Takahashi, Jun'ichi Takeuchi,“Towards Functional Analysis of IoT Malware Using Function Call Sequence Graphs and Clustering”
2023.5
(5/10)The following paper has been accepted for Neural Networks.
2023.4
(4/15)The following paper has been accepted for The 2023 IEEE International Symposium on Information Theory (ISIT).
  • Yutaka Jitsumatsu, “Computation of Marton's Error Exponent for Discrete Memoryless Sources”
▼Past News

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