About me

Postdoctorate @Tokyo Univ. &Nagoya Univ.  of Informatics on data-driven  technology
CEO of AquaAge Inc.

I was born in Inner Mongolia, China. Currently, I am a postdoctoral researcher in the Tsukada Lab at the University of Tokyo, working in the fields of Generative AI-based autonomous driving, cooperative perception, and computer vision for robotics. I am also working in the Takeda Lab at Nagoya University, focusing on subjective driving risk modeling and data-driven control.

Additionally, I am the Founder&CEO of AquaAge Inc., a data-centric company that provides business partners with image and data analysis solutions. One of our flagship products is HADABON, a mobile app that provides personalized skincare services for both business partners and clients.

Education

I believe that personal education never ends

Ph.D. Of Informatics

2018- 2022
Nagoya University

Master Of Information Science

2016- 2018
Nagoya University

Bachelor of Software Engineering

Tianjin University

Visiting Scholar

2019
The OhioState University
Experience

Years of experience proofs my qualifications

Postdoctorate Researcher, the University of Tokyo

May 2023 ─ Present

I am working in the fields of Generative AI-based autonomous driving, cooperative perception, and computer vision for robotics.

AquaAge Inc.

September 2019 ─ Present

Founded AquaAge Inc. during PhD course in Nagoya University of informatics as CEO until now. AquaAge is a data-centric company providing business partners of skin image and data analysis solution, and running the HADABON, which is a Mobile App, providing personalized skincare service for business partners and clients.

NEDO Research Student of RoboticsCore Explainable AI Project

April 2016 ─ December 2022

Most current research in the field of autonomous vehicle control assumes that all vehicles will follow the same patterns of automated driving behavior, resulting in systems with "conservative" or "average" driving styles. These systems may not be acceptable to drivers who prefer a more aggressive style of driving, however, while extremely cautious drivers may consider the standard outputs to be too aggressive. To address this problem, in my PhD course, I built a data-driven Control framework with an inverse optimal control algorithm that estimates risk-sensitive driving features and incorporates them into a receding-horizon controller. An estimator takes into account individual differences in subjective risk analysis, in terms of driving features and surrounding vehicle locations, by adjusting the cost function and its constraints. I also tested this approach using five lane change scenarios, some safe and some risky, with thirty real drivers in a CARLA simulation environment.

Street Map Project, a simulation system constructor in CARLA

March 2019 ─ 2021

Built simulated Nagoya University buildings, using OpenStreet Map, UnrealEngine, Blender to conduct AT simulation system. Designed and developed scenarios of different driving conditions for testing control algorithms.

Embedded System Bridge Software Engineer

2009 ─ 2012

Worked in corporative work of COMMET Inc,  AISIN ComCruise, and Toyota Motor Corporation to develop embedded system as bridge software engineer with offshore team.

Languages
100%

Chinese

100%

ᠮᠤᠩᠭᠤᠯ ᠬᠡᠯᠡ(Mongolian)

95%

Japanese

95%

English

Paper

International Journal

International
Conference Paper

Domestic
Paper&Workshops

Patent

Book

Publications

2024

Organizer of Workshop, "Vision Language Model-based Human-Centered Autonomous Driving.," in the 27th edition of the IEEE International Conference on Intelligent Transportation Systems (ITSC 2024), Edmonton, Canada, 2024.

2023

M. Asad, S. Shaukat, E. Javanmardi, J. Nakazato, N. Bao and M. Tsukada, "Secure and Efficient Blockchain-Based Federated Learning Approach for VANETs," in IEEE Internet of Things Journal, vol. 11, no. 5, pp. 9047-9055, 1 March1, 2024, doi: 10.1109/JIOT.2023.3322221. keywords: {Servers;Data models;Data communication;Blockchains;Security;Training;Data privacy;Blockchain;communication efficiency;federated learning (FL);privacy preservation;vehicular network},

IoR-WS 2023

Naren Bao, Jin Nakazato, Muhammad Asad, Ehsan Javanmardi, Manabu Tsukada, "Towards a Trusted Inter-Reality: Exploring System Architectures for Digital Identification", The 1st International Workshop on Internet of Realities (IoR-WS 2023) at International Conference on the Internet of Things, Nagoya, Japan, 2023.

ITSC2023

Bao, Naren, Carballo, Alexander, Tsukada, Manabu, Takeda, Kazuya, "Personalized Causal Factor Generalization for Subjective Risky Scene Understanding with Vision Transformer", In: The 26th edition of the IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), Bilbao, Bizkaia, Spain, 2023.

In book: Towards Human-Vehicle Harmonization

Naren Bao, Alexander Carballo, and Kazuya Takeda. "16 Personalized Lane Changes Using Subjective Risk-Sensitive Framework." Towards Human-Vehicle Harmonization 3 (2023): 211.

2022

IV2022

Naren Bao, Alexander Carballo, and Kazuya Takeda, “Driving Risk and Intervention: Subjective Risk Lane Change Dataset,” in 33rd 2022 IEEE Intelligent Vehicles Symposium (IV), Aachen, Germany, June, 2022.

IEEE Access

Naren Bao, Linda Capito, Dongfang Yang, Alexander Carballo; Chiyomi Miyajima; Kazuya Takeda, “Data-driven Risk-Sensitive Control for Personalized Lane Change Maneuvers,” in IEEE Access, Jan. 2022, doi: 10.1109/ACCESS.2022.3163267.

2021

IV2021

Naren Bao, Alexander Carballo, and Kazuya Takeda, “Prediction of Personalized Driving Behaviors via Driver-adaptive Deep Generative Models,” in 32nd 2021 IEEE Intelligent Vehicles Symposium (IV), Nagoya, July, 2021.

2020

JRM

Naren Bao, Alexander Carballo, Chiyomi Miyajima, Eijiro Takeuchi, and Kazuya Takeda, “Personalized Subjective Driving Risk: Analysis and Prediction,” Journal of Robotics and Mechatronics, Vol.32 No.3, June, 2020.

2019

ITSC2019

Naren Bao, Dongfang Yang, Alexander Carballo, Umit Ozguner and Kazuya Takeda, “Personalized Safety-focused Control by Minimizing Subjective Risk,” in 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, NZ, October 27-30, pp. 3853–3859, Oct. 2019.

2018

IEICE2018

Naren Bao, Chiyomi Miyajima, Akira Tamamori, Eijiro Takeuchi, and Kazuya Takeda, ”Estimating Subjective Driving Risk Feeling using Random Forest,” 2018 IEICE General Conferences, Tokyo, Mar. 2018.

2017

4TH FASTZERO

Naren Bao, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, Shinichiro Honda, Toshiya Yoshitani, and Masayoshi Ito,”Estimating Risk Levels Perceived by Individuals for Lane Change Scenes,”The fourth International Symposium on Future Active Safety Technology Toward zero traffic accidents, Nara, Sept. 2017.

情報処理学会(IPSJ)

Naren Bao, Chiyomi Miyajima, Eijiro Takeuchi, and Kazuya Takeda, ”Analysis of Individual Risk Perception during Highway Lane-Change Scenes,” The 79th National Convention of IPSJ, Nagoya, Mar. 2017.

2016

IV2016

Naren Bao, Daiki Hayashi, Chiyomi Miyajima, and Kazuya Takeda, ”Prediction of Individual Driving Behavior on Highway Curves,” The third Workshop on Naturalistic Driving Data Analytics, IEEE Intelligent Vehicles Symposium (IV), Gothenburg, June 2016.

Skills

I have knowledge in these areas

95%

Data Science

95%

Image Analysis

90%

Cloud Computing

90%

Web Development

90%

Business

80%

Robotics&Optimization

70%

UnrealEngine

60%

Blender

Certificate

Coursera Course

Works

Portfolio

Contact me

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