About Me

My name is Howard Nguyen-Huu and I'm a fourth year Engineering Student at the University of Waterloo. My interests include Machine Learning 📉, Robotics 🤖, Neuroscience 🧠, and Software Engineering/Computer Science 💻.

🚧 UNDER CONSTRUCTION 🚧

Curriculum Vitae

Research Experience

Jun 2023 - Present Undergraduate Research Assistant UWaterloo VIP Lab
Project 1: 3D Avatar Reconstruction from images/videos.
Project 2: Robotic Grasp Generation for bin-picking.
Project 3: Soft-body simulated data generation.
May 2022 - Dec 2022 Robotics Software Research Assistant UWaterloo MSAM Lab
Joint with Promation Engineering. See Professional Experience.
Apr 2022 - Dec 2022 Perception Research Engineer Watonomous
3D Object and Road Sign Detection for Autonomous Driving.
Apr 2021 - Dec 2021 Machine Learning Research Assistant UWaterloo Arami Lab
Deep learning with EMG signals for robotic controls

Professional Experience

May 2023 - Aug 2023 Machine Learning Engineering Intern Altis Labs
Feature Extraction and Machine Learning for 3D Medical Images.
Jan 2023 - Apr 2023 Robotics Software Intern Kindred AI
Robotic visualization tools and real-time control for ROS2.
May 2022 - Dec 2022 Robotics Software Research Assistant Promation Engineering
3D Computer Vision for Defect Detection in Robotic Manufacturing.
Sep 2021 - Dec 2021 Machine Learning Intern Geminare
Anomaly detection for Linux machines using NLP and clustering.
Jan 2021 - Dec 2021 Software Development Intern Blackberry
DevOps and Data engineering for cybersecurity insights.
May 2020 - Aug 2020 Software Engineering Intern PointClickCare
Test driven development of React frontend and Spring backend.

Publications

Kaji, F., Nguyen-Huu, H., Budhwani, A., Narayanan, J. A., Zimny, M., & Toyserkani, E. (2022). A deep-learning-based in-situ surface anomaly detection methodology for laser directed energy deposition via powder feeding. Journal of Manufacturing Processes, 81, 624–637. doi:10.1016/j.jmapro.2022.06.046

Kaji, F., Nguyen-Huu, H., Narayanan, J. A., Zimny, M., & Toyserkani, E. (2023). Intermittent Adaptive Trajectory Planning for Geometric Defect Correction in Robotic Laser Directed Energy Deposition based Additive Manufacturing. Journal of Intelligent Manufacturing. doi:10.1007/s10845-023-02194-1

Education

Sep 2019 - Apr 2024 B.A.Sc. in Biomedical Engineering University of Waterloo
Computer Engineering and Artificial Intelligence Options
3.90 cumulative GPA, 90% average
Sep 2017 - Aug 2019 International Baccalaureate Diploma Glenforest S.S.
98% average

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