Research Engineer Data

Lê Xuân Hiếu

AI Research Engineer

****************@*****.*** +849******** Ho Chi Minh, Vietnam Github Repos A product of mine @ SkinDetective app

Profile

A Research Engineer with a deep passion in researching and working in Machine Learning/Deep Learning field.

2 years experience in researching with Deep Learning, image classification and segmentation, object detection tasks using AI technologies.

Presenter at VietAI Summit 2019, in the session "Detection and classification of cancer diseases utilizing deep neural networks".

Presenter at The BME8 Conference, on the application of Neural Network to detect Glucose level in blood. IELTS certificate 7.5

An enthusiastic, self-motivated, willing to learn, responsible and hard working person. Education

Bachelor of Biomedical Engineering, International University Accumulated GPA: 3.46/4

2015 – 2019

Ho Chi Minh, Vietnam

Machine Learning and Big Data Courses, University of Science - HCM 11/2018 – 05/2020 Specialization in Machine Learning & Medical Image, Coursera, Deep Learning Specialization

Studying the use of CNN and other AI-based method to facilitate the diagnosis and pathology of diseases.

06/2019 – 06/2020

Machine Learning Foundation Course, VietAI 06/2019 – 06/2019 Professional Experience

AI Enginner, Lotus, VCCorp Corporation

As an AI Enginner, my role at VCCorp is to build deep learning-based scene text understanding models, that can offer content of rendered text inside types of images.

08/2020 – present

HCMC

AI Research Engineer, International University, Vietnam Have been working as an AI Research Engineer at Clinical&Health Research Lab at School of Biomedical Engineering, International University Vietnam. I am responsible for training AI-driven models to detect disease patterns and developing Machine Learning Approach to cluster unsupervised data. 09/2019 – 06/2020

Computer Vision Engineer Internship, EurekaRobotics EurekaRobotics is a Singapore company established by Associate Professor Pham Quang Cuong of Nanyang Technological University (11th ranked by QS World University Ranking) to produce robotics system in unstructured environment. Being the only one Vietnamese undergraduate student got accepted, my role at the company is to building Machine Learning/ Deep Learning based Vision System for object detections and pose

06/2019 – 08/2019

Singapore

Data Engineer, Hong Quang Company

As a data engineer, my role is to build Machine Learning-based models, assist the deployment of AI models, ensure the storage of data images by developing a Python-based package to store and analyze data in Cloud, building models and give insights of data.

10/2018 – 06/2019

Honors and Awards

Graduate scholarship for the Master program in Machine Learning and Computer Vision

Fully funded scholarship for the Master program in Machine Learning and Computer Vision at Australian National University, funded by Vingroup Scholarship Program, April 2021 – April 2023

2020

Vietnam National Student Starup Competition: Top 10 National- Incentive Award

The competition was held by Ministry of Education & Training to select the most impressive and potential projects to incubate. Approached more than 200,000 students in Vietnam, the competition was organized into many phases, in which competitors have to debate, present, demonstrate in order to be successfully selected. My group with a conducted AI's application honorably enter the final round, and became top 8 of the whole competition.

10/2019

University-wide Researcher

Certificated as a university-wide researcher for the contribution to a university project on utilizing Neural Network to build a model that could predict the healing rate of wound in rats. First author of a university-wide research. 03/2018

Encouraging Scholarship: Top 10% GPA Award, From 2017 - 2018 Awarded for students in top 10% GPA of Biomedical Engineering Department Projects

Skin Acne Severity Classification, Skills: Data Manipulation, OpenCV, Keras Building acne severity and acne detection models using OpenCV + Segmentation- based CNNs

Building a REST API for Android device using Flask + Python. 06/2019

Len Hole Detection, EurekaRobotics, Skills: Keras, OpenCV, Image processing Application of UNET-based model to segment len holes for Robotic devices Employing a CNN classifier to detect if the segmented holes have len inside or not Docker-composed project for a raspberry program

https://github.com/lexuanhieu131297/lenholesdetection 07/2019

Thesis: Detection of Major diseases in Blood Smear Microsopic Images Utilizing Unet-based model to segment White blood cells. Subsequently, on every blood cell detected, a Pretrained-based model is used for the recognition of multiple diseases.

05/2019

Blood Cell Segmentation

Employing a Unet-based structure together with a custom dice loss function to segment WBC images. Models are built from scratch. Code on notebook:

https://colab.research.google.com/drive/1nQh4TLz40_fTILSSWFM-XxjEMG59PPCj? usp=sharing

04/2020

Student Project: Non-invasive glucose monitoring method In this project, i developed a Machine Learning's based method to detect glucose level inside a given solution. The technique in used was Neural Network, with feedback voltages, light intensities as input and direct glucose levels as outputs. 10/2016

Weapon Holding Detection in CCTV systems

Detecting whether a person is holding weapon or not. First, a YOLO-based model is used to detect hand regions. Next, an Image Similarity Network is used to detect if that hand is holding weapon or not

05/2020 – 07/2020

Publications

Segmentation-based Deep Learning System for Automatic Acne Severity Grading, In Submitting

2020

Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach, Completed Manuscript

https://arxiv.org/pdf/2009.05951.pdf

2020

Non-invasive Glucose Monitoring System Utilizing Near-Infrared Technology https://doi.org/10.1007/978-***-**-****-3_71

2019

Transfer learning with class-weighted and focal loss function for automatic skin cancer classification, in Submitting

https://arxiv.org/pdf/2009.05977.pdf

Language

IELTS English Certificate

7.5

Skills

Keras, Pytorch

Develop deep learning models based on different

frameworks

SQL

Fundamental knowledge of database & sql

Other programming language & environment:

R, MATLAB

Numpy and Pandas

Algebra and data cleaning

Machine Learning crucial skills

Data analysis and feature engineering skills, ML

Algorithms selection, Metric understanding and

developing, Cross-validation ...

References

Dr. Ngo Thanh Hoan, Vice chair, School of Biomedical Engineering International University ******@*****.***.**

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