Research Intern Machine Learning

BUI HUY HOANG

** **** ****, ** **** *, Nam Tu Liem, Hanoi

*****.**********@*****.*** https://github.com/AustrianOakvn (+84)-3-3398-5302 EDUCATION

Hanoi University of Science and Technology Hanoi

Dipl-Ing in Electronics and Computer Engineering Expected Graduation: October 2022

Cumulative GPA: 3.45/4.0

Honor: Student Academic Encouragement Scholarship from HUST in 2020 and 2021

MPEC Lab member: Conducts research on artificial intelligent, machine learning, deep learning and indoor positioning. PUBLICATIONS

Pham Doan Tinh, Bui Huy Hoang, Nguyen Duc Cuong. ”Image-based gramian angular field processing for pedestrian stride- length estimation using convolutional neural network”. IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 4, Dec 2021, pp.997-1008

Pham Doan Tinh, Bui Huy Hoang. “Wifi Indoor Positioning with Genetic and Machine Learning Autonomous War-Driving Scheme”. International Journal of Advanced Computer Science and Applications(IJACSA), 13(2), 2022. RESEARCH EXPERIENCE

Research on stride length estimation using motion sensors Aug 2020 - Dec 2020

Utilized the Gramian Angular Field (GAF) algorithm to convert time-series sensor signals from a inertial measurement unit into images.

Developed a custom deep neural network to predict target stride length using the results of the GAF algorithm as input.

The proposed technique retains important features from sensors while achieved lower error than other methods. Research on applying Genetic Algorithm to Indoor Localization Jan 20201 - Present

Implemented the genetic algorithm to integrate the Wifi Fingerprinting and the Pedestrian Dead Reckoning technique.

Proposed a new method for evaluating the accuracy of the target coordinate inside the environment using machine learning.

The proposed method reduces effort in data collecting procedure while improves the accuracy of the Wifi Fingerprinting technique.

Face Detection on Jetson Nano

Artificial Intelligent coursework Jan 2021 – June 2021

Surveyed and analyzed the best face detection models and algorithm for deployment on the Jetson Nano kit.

Using the TensorRT framework to optimize Face detection models and deploy on Jetson Nano. CUDA Programming on Nvidia graphic card

Computer Architecture coursework Jan 2021 – June 2021

Implemented basic matrix operations and image processing techniques from scratch follows the CUDA parallel programming model.

Technologies: C++, nvidia cuda compiler (nvcc), cuda toolkit WORK EXPERIENCE

Viettel High Technology Hanoi

Research intern Jul 2020 – Nov 2020

Developed a desktop application for telecommunication data pre-processing and visualization.

The application can retrieve, convert and concatenate 4G and 5G raw log files from server into csv format.

User can extract and calculate metrics like throughput, block number, ... for further analysis or visualization.

Technologies: Python, pandas, numpy, Qt, QCAT software pack SKILLS

Relevant Coursework: Data Structures and Algorithms, Artificial Intelligence and its Application, Computer Architecture.

Programming languages: Python, Java, C++

Machine learning: scikit-learn, numpy, pandas, hydra, ml-flow

Deep learning: Tensorflow, Pytorch, TensorRT, CUDA LANGUAGES

Vietnamese: Native

English: 8.0 IELTS Certification by British Council, 900 TOEIC

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