An autonomous driving system utilizing image processing accelerated by FPGA. - Kazunari Takasaki; Kota Hisafuru; Ryotaro Negishi; Kazuki Yamashita; Keisuke Fukada; Tomoya Wakaizumi; Nozomu Togawa (FPT, 2021)

Autonomous driving system with feature extraction using a binarized autoencoder. - Kota Hisafuru; Ryotaro Negishi; Soma Kawakami; Dai Sato; Kazuki Yamashita; Keisuke Fukada; Nozomu Togawa (FPT, 2022)

Hardware-Trojan Detection at Gate-level Netlists using Gradient Boosting Decision Tree Models. - Ryotaro Negishi; Tatsuki Kurihara; Nozomu Togawa (ICCE-Berlin, 2022)

Evaluation of Ensemble Learning Models for Hardware-Trojan Identification at Gate-level Netlists. - Ryotaro Negishi; Nozomu Togawa (ICCE, 2024)

Prioritizing Vulnerability Assessment Items Using LLM Based on IoT Device Documentations. - Yuka Ikegami; Ryotaro Negishi; Kento Hasegawa; Seira Hidano; Kazuhide Fukushima; Kazuo Hashimoto; Nozomu Togawa (IOTSMS, 2024)

Hardware-Trojan Detection at Gate-Level Netlists Using a Gradient Boosting Decision Tree Model and Its Extension Using Trojan Probability Propagation. - Ryotaro Negishi; Tatsuki Kurihara; Nozomu Togawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

Evaluation of Hardware-Trojan Detection by Ensemble Learning Model for Circuits Inserted with a Trojan by an Automated Framework. - Sho Yoshimi; Yuka Ikegami; Ryotaro Negishi; Kota Hisafuru; Nozomu Togawa (ICCE, 2025)