CV

A comprehensive overview of my professional experience, education, and skills.

Contact Information

Name Long Hoang Pham
Professional Title Senior Researcher
Email phlong@skku.edu | longpham3105@gmail.com
Location 2066 Seobu-ro Jangan-gu, Suwon-si, Gyeonggi-do 16419

Professional Summary

A Vietnamese-born computer vision researcher specializing in robust scene understanding under adverse weather, low-light enhancement, and low-latency Edge AI deployment for real-time surveillance systems.

Experience

  • 2021 - Present

    South Korea

    Research Professor
    Automation Lab, SKKU
    • Researching deep learning models for real-world surveillance tasks.
    • Developing image processing algorithms for industrial quality control.
    • Win international challenges @ CVPR, ICCV, ECCV.
    • Mentoring graduate students.
  • 2015 - 2017

    Vietnam

    Research Assistant
    School of Computer Science & Engineering, HCMIU
    • Built a real-time surveillance system to extract traffic flow.
    • Mentored undergraduate students.

Education

  • 2017 - 2021

    South Korea

    PhD
    Sungkyunkwan University (SKKU)
    Computer Engineering
    • Full Scholarship
  • 2014 - 2017

    Vietnam

    Master
    International University (HCMIU)
    Information Technology Management
    • University Valedictorian (Intake 2015-2017)
    • Excellent Scientific Publications Award
    • Toshiba Scholarship for Graduate Students
    • Full Scholarship (Master by Research Program)
  • 2009 - 2014

    Vietnam

    Bachelor
    International University (HCMIU)
    Computer Science
    • Department Salutatorian
    • Rector’s Award for Academic Excellence
    • Pony Chung Scholarship
    • CSC Vietnam Scholarship
    • University Entrance Scholarship

Awards

Publications

Skills

Computer Vision (Master): Object Detection & Tracking, Image Enhancement, Image Restoration, Segmentation, Video Processing
Programming (Master): C/C++, Python, Swift, Objective-C, LaTeX, R
Frameworks (Master): OpenCV, PyTorch, TensorRT, Git, Docker
Front-end (Fluent): HTML, Qt

Languages

Vietnamese : Native speaker
English : Fluent

Projects

  • 2021 - 2028
    An Intelligent System for 24/7 Real-Time Traffic Surveillance on Edge Devices

    This project focuses on developing an intelligent traffic surveillance system capable of operating 24/7 in real-time on edge devices. The system leverages advanced computer vision techniques to enhance traffic monitoring, improve road safety, and optimize traffic flow, even under challenging conditions such as low-light and adverse weather.

    • Traffic Surveillance System
    • Large-Scale Urban Traffic Dataset
    • Real-Time Edge Processing
    • Low-Light Image Enhancement
    • De-weathering & Image Restoration
    • Road Segmentation & Lane Detection
    • Vehicle Detection & Tracking
    • Vehicle Reidentification
    • Speed Estimation
    • Traffic Flow Estimation
    • Congestion Analysis
    • Anomaly Detection
  • 2020 - 2022
    Real-Time Scene Understanding Technology in Complex Traffic and Bad Weather

    This project aims to develop advanced computer vision algorithms for real-time scene understanding in complex traffic scenarios and adverse weather conditions. The focus is on enhancing the perception capabilities of autonomous vehicles, enabling them to navigate safely and efficiently in challenging environments.

    • Autonomous Vehicle Perception
    • Semantic Segmentation
    • Low-Light Image Enhancement
    • Adverse Weather Image Restoration
  • 2018 - 2021
    Development of A Smartphone-based Laser Measurement System for Assessment of Gap, Flush, and Curvature in Car Body

    This project focuses on creating a portable and user-friendly solution for automotive quality control, leveraging advanced computer vision techniques and mobile application development to facilitate accurate measurements in real-time.

    • Automotive Quality Control
    • Car Body Inspection
    • Gap & Flush Measurement
    • Surface Curvature Measurement
    • Laser Triangulation
    • Handheld Measurement Device
    • Mobile Application Development
  • 2015 - 2017
    Piloting Project on the Intelligent Traffic System of Ho Chi Minh City

    This project aimed to develop and implement an intelligent traffic system in Ho Chi Minh City, utilizing advanced computer vision techniques to enhance traffic management and monitoring. The system was designed to improve traffic flow, reduce congestion, and increase road safety through real-time data analysis and decision-making.

    • Intelligent Traffic Systems (ITS)
    • CCTV Networks
    • Vehicle Detection & Tracking
    • Traffic Flow Estimation
    • Heavy Occlusion Handling
    • Real-Time Processing
    • Real-World Deployment

References

  • Prof. Jae Wook Jeon

  • Dr. Synh Viet Uyen Ha

  • Dr. Duong Nguyen-Ngoc Tran

  • Dr. Tuan-Anh Vu

  • Dr. Huy-Hung Nguyen