About this site

My name is Thinh Hoang, and I'm currently a postdoctoral researcher in Air Traffic Flow Management.

I see this website as a learning diary, a space to document not only what I’ve learned, but more importantly, what hasn’t worked in my research in Air Traffic Management (ATM). This blog stems from a shared academic sentiment: negative results are rarely reported in academic journals. As someone who has become somewhat of an expert in failures, I want to share my experiences here. My hope is to help others avoid the same missteps or, if I’ve misunderstood something, to invite discussion that might clarify the issue.

The stories here aren’t about polished results or breakthrough findings. Instead, they focus on the nuts and bolts of daily research life, such as building data preprocessing pipelines for open ADS-B data, implementing modules like aircraft counting, and experimenting with generative models, including diffusion models and fine-tuning large language models. Occasionally, I’ll also share side projects or technical detours that capture my curiosity.

Maybe some vents too.

Welcome, and I hope you find something useful or at least relatable here.

My Past

• Earned an Engineering Degree (Dipl. Ing.) in Aerospace Engineering from Ho Chi Minh City University of Technology (Vietnam), 2018
• Software Engineer at ARIATEC, working on Android technology (big words for just a mobile app 🤖), 2019
• Obtained a Master's Degree, 2020
• Completed a Ph.D. in Applied Mathematics at Paul Sabatier University (Toulouse, France), 2023. Thesis title: Data Processing Techniques for Trajectories of Road and Air Vehicles: Dimensionality Reduction, Anomaly Detection, Filtering and Data Compression with Applications in V2X Collective Perception. You can grab a copy here (but I think it's boring, honestly 🥱)

My Research Interest

I am deeply drawn to topics at the intersection of human-centric design, AI alignment, and ethics. These are more than just academic interests, they reflect a personal journey that has shaped how I see technology and its role in our lives.

My fascination with computers began at a young age when my parents brought home a Pentium III desktop. I broke that machine countless times out of sheer curiosity, driven by a need to understand how it worked. Each crash and repair was a lesson, and over time, I developed not just technical skills, but a deep sense of wonder. Computers, to me, have always felt like a kind of magic tools that blend work, creativity, and play into a single interface.

If computers are more like my logical side, I’ve also seen how vulnerable people can be-myself included-when faced with personal health crises. These moments made me realize how disconnected technology can feel when it fails to understand or support us in times of real human need.

That’s why I believe the future of computing lies in bridging logic and emotion. Whether through thoughtful UX/UI design or more intuitive AI interactions, we have the opportunity to make machines not just smart, but empathetic and empowering. My research is driven by this vision: to help create systems that feel less like tools and more like companions, designed with and for the people who use them.

Oh, if you come here wondering how many SCOPUS/SCI/SCIMAGO journal papers I have published, it is only one. Yeah I know.