Phuoc Pham Email & Phone Number

Incheon, South Korea

As part of my previous laboratory team, I applied graph neural network and reinforcement learning to hardware logic synthesis for EDA tools, improving efficiency. I designed GNN models to predict circuit delays and constructed state-representations for RL agents. My work included new machine learning approaches for logic synthesis and novel applications of RL in graph structures.Skills: Machine Learning, Neural Network Design, Computer Vision, Reinforcement Learning, Graph Neural Network, Logic Synthesis Optimization.Responsibilities:- Improved compressed model accuracy by 20% with symmetric quantization.- Developed flexible run-time bit-width adaptation for object detection.- Conducted research on RL, binarization/quantization, and GNN state representation.- Extracted data from OpenSTA and analyzed it using Cppyy.- Utilized Pytorch packages for ML algorithm development and visualization.- Proficient in requirement gathering, analysis, estimation, testing, and reporting.

Leuven, Flemish Region, Belgium

Ho Chi Minh City Metropolitan Area

Responsibilities:- Proposed a new autonomous testing model to evaluate tools and techniques in software testing.- Developed a new model to capture the interaction between web elements, it’s served as a building block for other downstream tasks include: test generation, test prioritization, and self-healing in test automation.- Clarified the requirements, objectives and future directions for the working projects.

South Korea

I joined System-on-Chips Lab as a researcher at R&D Institute, Incheon National University.

Ho Chi Minh City, Vietnam

Skills: Video streaming, Websocket, RESTful API, MicroservicesProjects: 4G Raspberry Pi Streaming, Encrypted Chat App (Back-end)Responsibilities:- Developed and deployed web application using Django Rest Framework, Docker, and Kubernetes- Performed web scraping and information extraction for IoT device monitoring with Python, Scrapy, and Websocket- Implemented Event Task for scheduling and monitoring events- Worked closely with development teams to integrate RESTful APIs for client requests for an Internally Encrypted Chat App.- Built and published interactive reports and dashboards using Django and Scrapy.

Ho Chi Minh City Metropolitan Area

At MMLab, I focused on visual search, traffic sign and small object detection. My research was published in the ICONP 2017 Conference. I gained a strong background in AI/ML, Deep Learning, Python, Computer Vision, and Object Detection during my time there.My responsibilities included researching and evaluating AI/ML CV models, coordinating with team members on semantic content-based video search, deploying face recognition for lab management, and reproducing the results of well-known state-of-the-art CV techniques.

Doctor Of Philosophy - Phd

Pre-Doctoral Programme, Electrical Engineering

Master'S Degree, Electrical And Electronics Engineering, 4.4/4.5

Bachelor'S Degree, Honor Program, Computer Science, 8.3/10.0