Personalized Safety-focused Control by Minimizing Subjective Risk. - Naren Bao; Dongfang Yang; Alexander Carballo; Ümit Özgüner; Kazuya Takeda (ITSC, 2019)

Personalized Subjective Driving Risk: Analysis and Prediction. - Naren Bao; Alexander Carballo; Chiyomi Miyajima; Eijiro Takeuchi; Kazuya Takeda (J. Robotics Mechatronics, 2020)

Prediction of Personalized Driving Behaviors via Driver-Adaptive Deep Generative Models. - Naren Bao; Alexander Carballo; Kazuya Takeda (IV, 2021)

Driving Risk and Intervention: Subjective Risk Lane Change Dataset. - Naren Bao; Alexander Carballo; Kazuya Takeda (IV, 2022)

Data-Driven Risk-Sensitive Control for Personalized Lane Change Maneuvers. - Naren Bao; Linda Capito; Dongfang Yang; Alexander Carballo; Chiyomi Miyajima; Kazuya Takeda (IEEE Access, 2022)

Towards a Trusted Inter-Reality: Exploring System Architectures for Digital Identification. - Naren Bao; Jin Nakazato; Muhammad Asad 002; Ehsan Javanmardi; Manabu Tsukada (IoT, 2023)

Personalized Causal Factor Generalization for Subjective Risky Scene Understanding with Vision Transformer. - Naren Bao; Alexander Carballo; Manabu Tsukada; Kazuya Takeda (ITSC, 2023)

Secure and Efficient Blockchain-Based Federated Learning Approach for VANETs. - Muhammad Asad 002; Saima Shaukat; Ehsan Javanmardi; Jin Nakazato; Naren Bao; Manabu Tsukada (IEEE Internet Things J., 2024)

A Synthetic Benchmark for Collaborative 3D Semantic Occupancy Prediction in V2X Autonomous Driving. - Hanlin Wu; Pengfei Lin; Ehsan Javanmardi; Naren Bao; Bo Qian; Hao Si; Manabu Tsukada (CoRR, 2025)