Meet Our Team
Chung-Hsian Jiang Ph.D.
Head Technical Officer
Doctor Jiang is an expert in thermal dynamics and data simulation, Jiang co-worked with Professor Li over several autonomous vehicle projects since 2017, including L2 lane following control of high speed sedans, the first implementation of a L3 autonomous bus and autonomous delivery trucks. Jiang now serves as the head technical officer of iAuto as well as the chief scientific researcher of Unmanned Vehicle Research and Design Center of NTU.
Thomas Jeng
Project Manager
Project manager, responsible for research and development planning, as well as company representative
Dong-Lin Li
Chief Data Engineer
Chief developer of iAuto’s cloud based monitor and control system, as well as vehicle dispatch algorithms
Mark Xia
Chief Vehicle Dynamics Engineer
Leading research and developer of iAuto’s autonomous vehicle control behavior (differential motion, 3D model, etc.)
Hugh Yang
Chief Planning Engineer
Research developer leader of iAuto’s autonomous vehicle products, leading developer of AV’s planning system
Cheng-Kang Guan
Chief Mechanics Engineer
Mechanics team leader, responsible for chassis design and implementation of iAuto’s AMRs,
Roy Ke
Chief Perception Engineer
Team leader for AV’s perception and vision based mapping and detection research and development
James Lin
Chief Safety Engineer
iAuto’s chief safety officer, design and implements safety related methodology and practice
Board of Advisors
Kang Li Ph.D.
Professor Li is an expert in the field of autonomous vehicles, starting as early as 2013 his lab at NTU developed prototypes of GPS guided autonomous golf carts and has continued to work on bigger and more advanced AV projects ever since. Li served as a member of investigation committee at TTSB, and as city planning advisory committee of TaoYuan City Taiwan. He is currently the director of Unmanned Vehicle Research and Design Center of NTU.
Chin-Yao Chan Ph.D.
Dr. Ching-Yao Chan is Co-Director of Berkeley DeepDrive. Dr. Chan leads research projects on intelligent autonomy of dynamic systems. His recent projects involve deep reinforcement learning, meta-learning, pedestrian trajectory projection, multi-person action forecasting based on machine learning, and driver drowsiness.
Company History
2016
Co-developed the worlds first commercial ready L2 lane following control system @ 120 KpH with Taiwan based motor company.
October, 2017
iAuto Technology company registered in both Taiwan and Canada.
May, 2018
First L3 Autonomous Bus in Taiwan demonstrated at TaiChung Floral Expo.
First unguided autonomous golf cart POC @ Sunrise Golf Taiwan.
July, 2019
Participated in Dubai World Challenge 2019, placed 2nd in the start-ups group with autonomous deliver truck solution.
All year, 2020
POS @ Chang-Gung Health and Culture village transporting elderly passengers with accumulated mileage of 5,000 km.
July , 2021
Participated in Dubai World Challenge 2021, placed 3rd with delivery AMR solution demonstrating the maneuverability and flexibility of our product.
July, 2023
Participated in Dubai World Challenge 2023, placed 3rd with mass public transportation solution, as well as demonstrating the overall planning for a sustainable autonomous public transport system.
November, 2023
POS of iAuto cargo delivering AMR solution with the TaiPower company, demonstrating indoor/outdoor capable machine to deliver heavy cargo over medium distances.
