Pranpaveen Laykaviriyakul



Hello world :grinning:, my name is Lay. Currently, a Master's student in Electrical Engineering at Kasetsart University. I am interested in Artificial Intelligence, Machine Learning, Image Processing, and Data Science.

Master student & AI Engineer.

  • Name: Pranpaveen Laykaviriyakul
  • Birthday: 2 July 1997
  • Website:
  • Phone: (+66)82███████

Education & Work


Master of Engineering & Electrical Engineering

July 2019 - Present

Kasetsart University, Bangkok, Thailand

Researching in Deep learning, Adversarial example.

Publications :

Initialization of Random Vectors to Enhance Defense-GAN for Image Classification

Bachelorof Engineering & Electrical Engineering

Aug 2015 - May 2019

Kasetsart University, Bangkok, Thailand

Major in Telecommunication Engineering.

Work Experience

Teaching Assistant

Jan 2022 to Apr 2022

Artificial Intelligence Association of Thailand (AIAT)

  • Teaching Assistant in Super AI Engineer Super AI Engineer Season 2
  • Lecturer for a few machine learning and programming courses
    • Pytorch (Link)
    • Python OOP (Link)
    • Python Multiprocessing (Link)
    • Basic Image processing and Object detection
    • GIT version control (AIAT MOOC)

Intelligence Transportation Engineer

March 2021 to May 2021

Elixir Software Co.,Ltd.

  • Short-term work as part of Super AI Engineer program by AIAT(Artificial Intelligence Association of Thailand).
  • Smart road project collaboration with Thai Department of Rural Roads.
  • Develop a workflow to process data from CCTV devices.
  • Detect, track, finding lanes, and estimate car speed from CCTV video.
  • Use thingsboard IOT platform to visualize and manage devices.

Teaching Assistant

Aug 2017 to Dec 2020

Kasetsart University, Bangkok, Thailand

  • Teacher Assistant in C programming for Electrical Engineering (Aug 2017 to Dec 2021).
  • Teacher Assistant in Principles of Deep Learning and Applications (Aug 2020 to Dec 2021).

Software Engineer intern

From June 2018 to July 2018


  • Learn to build and modify Linux kernel with Yocto in Embedded Linux.
  • Programming to support work in the company.

Project / Research

  • All
  • Work
  • Academic
  • Others

Power system reliability analysis - Provincial Electricity Authority (PEA)

January 2022 to Present

Hypertensive Analysis - Phramongkutklao College of Medicine

November 2020 to March 2021

Analyze hypertension and hypertensive disease from annual health data of thai military.

Rain prediction - Hydro-Informatics Institute (Public Organization) Bangkok, Thailand

From October 2019 to February2020

Analysis of air quality and meteorological data that influence rainfall in Smart Big Data Analytics for City Life Quality Improvement project.

Class timetable management system (website) for Department of Electrical Engineering Kasetsart University

From April 2019 to May 2019

Use Django framework.

Protecting Adversarial Attack on Classification System Using Modified Disco-GAN (Thesis)

In progress.

Master's thesis.

Defense Adversarial Example with cross domain GANs reconstruction.

Study the effect of Adversarial Example on SVM support vectors

2020 - Pattern Recognition course at Kasetsart University

Study the effect of Adversarial Example (FGSM) with different epsilon on SVM support vectors/non support vectors data.

Resource : layel2/pattern-course-ku (

Human pose estimation using traditional image feature extraction

2019 - Image Processing and Representation course at Kasetsart University

Use fall detection dataset to predict human pose eg. stand, sit, sleep.

Extract feature using 7 HU Moment, LBP, HOG and evaluate class separability with scatter matrices, divergence and predict with KNN classifier.

Segmentation using motion analysis MOG background subtractor.

Resource : layel2/image_processing_course (

Study the use case of Adversarial Example for reduce overfitting in remote sensing data (Multispectral image)

2019 - Remote Sensing course at Kasetsart University

Attempt to use Adversarial Example to reduce overfitting in land cover mapping application.

Resource : layel2/Remote-sensing (

Cryptocurrency Arbitrage software.

2018 - 2019 Senior Project

Use API from of business) and for compare price differences to make profit with trade algorithm.

Resource : layel2/Crypto-arbitrage (


Teach high school mathematics

3-11 Jan 2016

Srinagarindra the Princess Mother School, Rayong

4-12 Jan 2017

Kuiburiwittaya, Prajuabkirikhan

18-28 Dec 2017

Bangliwitthaya, Suphanburi

Teach calculus to pre Freshmen student

3-22 Jun 2017

Kasetsart University

4-24 Jun 2016

Kasetsart University