Profile

Chakkrit Termritthikun, PhD

Assistant Director for Digital Innovation & Assistant Professor

School of Renewable Energy and Smart Grid Technology (SGtech), Naresuan University

Phitsanulok, Thailand, 65000

About Me

I am an Assistant Professor and Assistant Director for Digital Innovation at SGtech, Naresuan University. My research interests lie at the intersection of Artificial Intelligence, Machine Learning, and Smart Grids.

I specialize in Neural Architecture Search (NAS), Computer Vision, and their applications in renewable energy and sustainability.

Experience & Professional Service

Assistant Professor

2023 – Present
SGtech, Naresuan University

Assistant Director for Digital Innovation

2023 – Present
SGtech, Naresuan University

Guest Editor

2024
Frontiers in Artificial Intelligence / Big Data

Special Topic: Exploring the Power of AI and ML in Smart Grids: Advancements, Applications, and Challenges

Reviewer

IEEE Access, TAI, TCE, TCDS, TCYB, TEVC, TII, TNNLS, TRPMS; ESWA, EAAI, Ecological Informatics, Neural Networks

Lecturer

2021 – 2023

SGtech, Naresuan University

Visiting Student Researcher

2018 – 2020

STEM, University of South Australia

Research: A Fast-Neural Architecture Search using an Evolutionary Algorithm.

Senior Developer

2016 – 2017

Fiber One Public Co., Ltd, Bangkok

Developed on-device facial verification using deep learning for automated access control.

Competitions (Kaggle)

CSIRO - Image2Biomass Prediction

Top-2% Silver (Placed 83rd of 3802 teams)
View Competition
Silver Medal

Google - ASL Fingerspelling Recognition

Top 8% Bronze (Placed 95th of 1314 Teams)

View Competition
Bronze Medal

Education

PhD in Computer Engineering

2017 – 2021

Naresuan University, Thailand

  • Dissertation: Development of deep learning neural network for on-device mobile processing
  • Advisors: Prof. Dr. Paisarn Muneesawang (Mahidol) & Prof. Dr. Ivan Lee (UniSA)

M.Eng. Computer Engineering

Naresuan University · 2014 – 2017

Thesis: Large scale Thai food image recognition using deep neural network

B.Eng. Computer Engineering

Naresuan University · 2013

Project: EV Tracking & Time Approximation via Smart phone

Scholarships

The Royal Golden Jubilee (RGJ) Ph.D. Scholarship

Granted scholarships to PhD in Computer Engineering at Naresuan University from Thailand Research Fund.

Technical Skills

Languages
Python C++ Java PHP SQL
Domains
Machine Learning Deep Learning Computer Vision NAS HPC
Tools
PyTorch Tensorflow Docker Linux Git VS Code

Research Projects

Intelligent Operation Optimization of Grid-Scale Battery Energy Storage Systems in Thailand's Ambient Conditions

2023-2026

Enhanced Economic Benefit and CO2 Reduction using Machine Learning

Low-Carbon Neural Architecture Search for Saliency Prediction

2022

Comparison of Control Techniques for MPPT Applied to Grid-connected Photovoltaic System

2022

Automated snail detection and tracking based-on YOLOv3

2020

Publications

Integrating Agentic AI to Automate ICD-10 Medical Coding

K Akkhawatthanakun, L Narupiyakul, K Wongpatikaseree, N Hnoohom, ...

Preprints, 2025

2025

A Discriminant Correlation Neural Network for Feature Representation Learning

L Gao, K Liu, C Termritthikun, P MuneeSawang, N Hnoohom, L Guan

2025 IEEE 8th International Conference on Multimedia Information Processing …, 2025

2025

Short-Term Electricity Demand Forecasting Based on Cloudy and Clear Sky Solar Irradiance Data

K Dorji, S Jittanon, T Prompook, YB Muna, C Termritthikun

Engineering, Technology & Applied Science Research 15 (4), 25889-25894, 2025

2025

Impact of distance measures in adaptive K-means clustering on load profiles and spatial patterns of distributed substations in Thailand

T Prompook, S Jittanon, K Phumeesut, C Termritthikun, N Ketjoy, ...

Scientific Reports 15 (1), 21123, 2025

2025

Exploring the Power of AI and ML in Smart Grids: Advancements, Applications, and Challenges

V Kulkarni, P Sahoo, B Nemade, S Kallam, C Termritthikun

Frontiers in Artificial Intelligence 8, 2025

2025

Semi-PKD: Semi-supervised Pseudoknowledge Distillation for saliency prediction

C Termritthikun, A Umer, S Suwanwimolkul, I Lee

ICT Express 11 (2), 364-370, 2025

2025

Electricity Load Forecasting using Hybrid Datasets with Linear Interpolation and Synthetic Data

K Dorji, S Jittanon, P Thanarak, P Mensin, C Termritthikun

Engineering, Technology & Applied Science Research 14 (6), 17931-17938, 2024

2024

Photovoltaic Surface Environmental Contaminant Detection Based on Saliency Prediction

S Jittanon, T Prompook, K Phumeesut, T Suriwong, N Ketjoy, ...

2024 IEEE International Smart Cities Conference (ISC2), 1-4, 2024

2024

SalNAS: Efficient saliency-prediction neural architecture search with self-knowledge distillation

C Termritthikun, A Umer, S Suwanwimolkul, F Xia, I Lee

Engineering Applications of Artificial Intelligence 136, 109030, 2024

2024

Net Metering Prediction in Prosumer Building with Temporal Fusion Transformer Models

S Jittanon, Y Mensin, N Ketjoy, C Termritthikun

IEEE Access 12, 109457-109469, 2024

2024

Intelligent Prediction of SGtech Building Energy Consumption Based on Deep Learning

S Jittanon, C Termritthikun

Naresuan University, 2023

2023

Evolutionary neural architecture search based on efficient CNN models population for image classification

C Termritthikun, Y Jamtsho, P Muneesawang, J Zhao, I Lee

Multimedia Tools and Applications 82 (16), 23917-23943, 2023

2023

Parameters Influence on MPPT Efficiency for Single-Phase Grid-Connected Photovoltaic System

U Prasatsap, N Nernchad, S Srita, T Kaewchum, C Termritthikun, ...

2023 20th International Conference on Electrical Engineering/Electronics …, 2023

2023

Explainable knowledge distillation for on-device chest x-ray classification

C Termritthikun, A Umer, S Suwanwimolkul, F Xia, I Lee

IEEE/ACM Transactions on Computational Biology and Bioinformatics 21 (4 …, 2023

2023

Comparison of Control Configurations and MPPT Algorithms for Single-Phase Grid-Connected Photovoltaic Inverter.

U Prasatsap, N Nernchad, C Termritthikun, S Srita, T Kaewchum, ...

Advances in Electrical & Computer Engineering 23 (2), 2023

2023

Intelligent forecasting of energy consumption using temporal fusion transformer model

S Jittanon, Y Mensin, C Termritthikun

2023 IEEE International Conference on Cybernetics and Innovations (ICCI), 1-5, 2023

2023

PIRSE: Plant Identification and Repository for the Smart Environment

K Wannaphat, A Museh, T Jinasa, U Prasatsap, P Thanarak, ...

2022 26th International Computer Science and Engineering Conference (ICSEC …, 2022

2022

On-device saliency prediction based on pseudoknowledge distillation

A Umer, C Termritthikun, T Qiu, PHW Leong, I Lee

IEEE Transactions on Industrial Informatics 18 (9), 6317-6325, 2022

2022

Neural architecture search and multi-objective evolutionary algorithms for anomaly detection

C Termritthikun, L Xu, Y Liu, I Lee

2021 International Conference on Data Mining Workshops (ICDMW), 1001-1008, 2021

2021

EEEA-Net: An early exit evolutionary neural architecture search

C Termritthikun, Y Jamtsho, J Ieamsaard, P Muneesawang, I Lee

Engineering Applications of Artificial Intelligence 104, 104397, 2021

2021

Development of deep learning neural network for on-device mobile processing

C TERMRITTHIKUN, P MUNEESAWANG

Naresuan University, 2021

2021

An improved residual network model for image recognition using a combination of snapshot ensembles and the cutout technique

C Termritthikun, Y Jamtsho, P Muneesawang

Multimedia Tools and Applications 79 (1), 1475-1495, 2020

2020

On-device facial verification using NUF-Net model of deep learning

C Termritthikun, Y Jamtsho, P Muneesawang

Engineering Applications of Artificial Intelligence 85, 579-589, 2019

2019

NU-LiteNet: Mobile landmark recognition using convolutional neural networks

C Termritthikun, S Kanprachar, P Muneesawang

arXiv preprint arXiv:1810.01074, 2018

2018

NU-ResNet: Deep Residual Networks for Thai Food Image Recognition

C Termritthikun, S Kanprachar

Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 10 …, 2018

2018

NU-InNet: Thai food image recognition using convolutional neural networks on smartphone

C Termritthikun, P Muneesawang, S Kanprachar

Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 9 …, 2017

2017

Accuracy improvement of Thai food image recognition using deep convolutional neural networks

C Termritthikun, S Kanprachar

2017 international electrical engineering congress (IEECON), 1-4, 2017

2017

DATA AND ENERGY USAGE REDUCTION FOR LIVE STREAMING ON SMART PHONE USING FUZZY LOGIC

C Termritthikuna, S Tangkawanit, S Kanprachar

Jurnal Teknologi (Sciences & Engineering) 78 (5-9), 2016

2016

Electric vehicle tracking and notification application for smart phones

S Tangkawanit, C Termritthikun, S Kanprachar

2014 International Electrical Engineering Congress (iEECON), 1-4, 2014

2014

การ ประมาณ เวลา และ ติดตาม ตำแหน่ง รถไฟฟ้า มหาวิทยาลัย นเรศวร ด้วย เครือ ข่าย ไร้ สาย

เศ ร ษ ฐา ตั้ง ค้า วานิช, วัน เฉลิม จันทร์ ทรง, วิศวะ นาม วงษ์, ...

วิศวกรรม สาร มหาวิทยาลัย นเรศวร (NARESUAN UNIVERSITY ENGINEERING JOURNAL) 8 (1 …, 2013

2013

Teaching (Postgrad)

Advisee List

Current Students

  • Sorawut Jittanon PhD Student
  • Wathinee Kaewzaikird M.S. Student
  • Pawornwan Rawungpai M.S. Student

Graduated Students

  • Sorawut Jittanon M.S. Student
  • Karma Dorji Ph.D. Student

Memberships