Lucius Vo

Lucius Vo

Doctoral Candidate|Data Scientist

About Me

Ahoy there!

I am Vo-Huynh Quang-Nguyen (last name - first name), and I also go by Lucius Vo.

I am an engineering and science enthusiast with an industrial background in computer vision, data science, artificial intelligence, machine learning, and deep learning. I am currently pursuing a Ph.D. in Industrial Engineering and Management at Oklahoma State University (OSU), Stillwater.

My research interests span applied probability, data science, optimization, computational intelligence, and computational architecture, with an emphasis on resistive random-access memory (RRAM) technology to enable in-memory computing.

Current focus

I have worked across several areas of applied computing and analytics, including:

These interests are reflected in projects I have completed, as well as the guest lectures, tutorials, and workshops I have delivered. You can explore them on this page.

Community and writing

Since June 2021, I have been a contributor to AI Vietnam, one of the largest Vietnamese communities for AI enthusiasts. The community is co-led by Dr. Vinh Dinh Quang (currently at Vietnamese-German University) and Dr. Phuc Nguyen Hong (currently at Eastern International University).

I also enjoy writing. On my blog archive, I share thoughts and experiences on topics such as:

  • learning English,
  • getting started with programming, especially Python
  • preparing a strong profile for doctoral study applications
  • reflections on broader social and academic issues

Professional journey

Oklahoma State University

I am currently pursuing my Ph.D. in Industrial Engineering and Management at Oklahoma State University, where I continue to develop research at the intersection of mathematical analysis, AI/ML/DL, and in-memory computing.

Intel Products Vietnam

From April 2021 to December 2022, I worked at Intel Products Vietnam, an assembly and test manufacturing site of Intel Corporation in Vietnam.

My work focused on:

  • developing and deploying automated inspection solutions for downstream processes
  • mentoring aspiring engineers in programming and machine learning as an associate of both Intel AI and Intel Image Analytics Centers of Excellence
  • contributing to Intel NextGen Vietnam, an initiative aimed at improving the onboarding and integration experience of new hires

First Solar Vietnam

Before Intel, I joined First Solar Vietnam as an engineering trainee from November 2020 to April 2021. There, I worked on a project involving commonality analysis of defects generated by laser scribing processes on thin-film solar panels.

Academic background

Aalto University

I received my M.Sc. degree from Aalto University, Finland, in December 2020. My master’s work focused on machine learning and deep learning.

For my master’s thesis, I worked with Dr. Petri Kärhä and Prof. Erkki Ikonen on the development of a measurement setup for determining the differential spectral responsivity of solar cells. We also explored, for a limited time, an estimation method to account for spectral mismatch uncertainty in solar cell calibration.

Metropolia University of Applied Sciences

Before starting my M.Sc. studies in Autumn 2018, I completed my bachelor’s degree in Electronics at Helsinki Metropolia University of Applied Sciences, Finland.

During my undergraduate studies, I conducted research in wireless sensor networks under the supervision of Dr. Matti Fisher.

Thanks for visiting my website.