Hello, I’m Haolong HU.

您好,欢迎访问我的个人网站,本网站使用Hugo模版制作,主要记录了我的一些学习与生活经历。如果您希望访问旧版网站,请点击 这里,旧版网站中 包含了一些重复的内容和照片,但依然欢迎您的浏览,也期待您与我联系!

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Who am I?

I am a second-year Mphil student at Human, Automation and Transportation Lab of HKUST, Guangzhou Campus. My supervisor is Prof. Dengbo HE and my major is Intelligent Transportation.

Prior to that, I received my B.Eng degree in Cybersecurity from Jinan University in 2022. Now my research topic is "Facilitating awareness of cybersecurity among ICV users". My research interests include cybersecurity, human factors , and intelligent connected vehicles.

Education

2022-2024
The Hong Kong University of Science and Technology(Guangzhou)
Master of Philosophy (Mphil), Intelligent Transportation
2018-2022
Jinan University
Bachelor of Engineering (B.Eng.), Cybersevurity
Jul 2022 - Sep 2022
Researcher Intern (Cryptography)
Hillstone Networks
Jun 2019 - Jun 2020
Heads of student organisations
Jinan University
Feb 2019 - Sep 2019
Volunteer trainees
Guangdong Provincial Museum

Experience

Over the past few years I have been involved in organising large events, volunteering for good causes and spent some time interning at a security company. I found a job as a product manager at a fundraising company in the spring of 2022, but after much consideration chose to continue my education. I would like to move towards product or user research and am currently working on learning about it and looking for relevant internships and job opportunities.

Projects

Facilitating awareness of cybersecurity among ICV users

With the continuous development of intelligent networked vehicles, cyber security has become a topic that cannot be ignored. We expect to use human factors analysis tools to analyse the differences in cybersecurity awareness and management of drivers in vehicles and in their daily life. At the same time, suitable educational programmes are designed to explore the impact over a long period of time.

Now our project is under ethical review
Facilitating awareness of cybersecurity among ICV users
Influential Factors of User’s Trust Change in SAE Level-5 Autonomous Vehicles

Influential Factors of User’s Trust Change in SAE Level-5 Autonomous Vehicles

Pony AI in Nansha, Guangzhou, has become an early mover in China to carry out L4/5 level of fully unmanned driving. We look forward to designing experiments to explore changes in passengers' trust in vehicles and related responses when riding in unmanned vehicles, and we also look forward to designing models that directly correspond to physiological changes and trust.

Experimenting and recruiting participants

Exploring the influential factors of students' trust in and usage behavior of ChatGPT

The advent of the LLM model dropped a bombshell on human society. Through experiments and interviews, we hope to explore the impact of models such as ChatGPT on researchers and others in terms of academic tasks.

Data analysis and writing in progress
Exploring the influential factors of students' trust in and usage behavior of ChatGPT
Real-time network gate system based on image recognition

Real-time network gate system based on image recognition

We have designed a new image recognition based real-time network gate technique and applied it to the SM9 cryptographic algorithm. The project won the second prize of the National Student Information Security Competition, the first prize of ‘‘Winning in Innovation’’ and the best project of Jinan University.

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Others

I have also worked on smaller projects such as VR interactions, deep learning, authentication services, vehicle safety surveys, etc. The server on which this site is hosted also supports a number of services such as storage and data processing. For example, you can get caj format conversion service by clicking the button below. In the future, I will expand more functions, including forums, blogs, etc. I will also keep sharing my work.

Caj2pdf
Others

Contact

Phone Number

+86 13653549590

Email

[email protected]

Address

The Hong Kong University of Science and Technology (Guangzhou), Nansha District, Guangzhou, China