Profile

Chakkrit Termritthikun, PhD

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Assistant Professor

Research interests lie at the intersection of Artificial Intelligence, Machine Learning, and Smart Grids — with a focus on making advanced models practical for real-world deployment. Specializing in Neural Architecture Search (NAS), Computer Vision, and sustainable energy systems.

SGtech, Naresuan University Phitsanulok, Thailand verified IEEE Senior Member
Chakkrit Termritthikun
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Competitions

CSIRO - Image2Biomass

Top 2% · Silver · 83rd of 3802

Google - ASL Fingerspelling

Top 8% · Bronze · 95th of 1314

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Scholarships

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

Granted by Thailand Research Fund for PhD in Computer Engineering at Naresuan University.

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Memberships

  • IEEE Senior Member Present
  • ACM Professional Member Present
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Work Experience

Assistant Professor

2023 – Present

SGtech, Naresuan University

Asst. Director for Digital Innovation

2023 – Present

SGtech, Naresuan University

Guest Editor

2024

Frontiers in AI / Big Data

Reviewer

Ongoing

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

Lecturer

2021 – 2023

SGtech, Naresuan University

Visiting Student Researcher

2018 – 2020

STEM, University of South Australia

Senior Developer

2016 – 2017

Fiber One Public Co., Bangkok

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Education

PhD in Computer Engineering

2017 – 2021

Naresuan University

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

M.Eng. Computer Engineering

2014 – 2017

Naresuan University

B.Eng. Computer Engineering

2013

Naresuan University

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Technical Skills

code

Languages

Python, C++, Java, PHP, SQL

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Domains

ML, DL, CV, NAS, HPC

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Frameworks

PyTorch, TensorFlow, Docker

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Soft Skills

Research, Mentoring, Collaboration

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Research Projects

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Zero-shot Explainable Time-series Forecasting using Large Language Models

Leveraging LLMs to perform zero-shot time-series forecasting with built-in explainability, reducing the need for domain-specific training data.

LLM Time Series Explainable AI 2026-2028 · PI
Time series forecasting
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Development of a Model Training Technique for Multi-Horizon Long-Term Time Series Forecasting

Novel training strategies for deep models to accurately predict multiple future horizons simultaneously for long-term planning.

Deep Learning Forecasting Multi-Horizon 2026 · PI
Forecasting model
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Intelligent Operation Optimization of Grid-Scale Battery Energy Storage Systems

ML-driven optimization of battery storage operations under Thailand's climate to maximize economic return and minimize carbon emissions.

Machine Learning Smart Grid Energy Storage 2023-2026 · PM
Battery energy storage
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Low-Carbon Neural Architecture Search for Saliency Prediction

Automating efficient neural network design to optimize visual saliency prediction accuracy while minimizing carbon footprint.

AutoML Green AI Computer Vision 2022 · PI
Neural architecture search
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Comparison of Control Techniques for MPPT Applied to Grid-connected Photovoltaic System

Comparative study of maximum power point tracking control methods to improve grid-connected photovoltaic system efficiency.

Photovoltaics Control Systems MPPT 2022 · Researcher
Solar panel farm
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Photovoltaic-Battery Inverter with Grid-Connected and Grid-Forming Operations

Design and evaluation of hybrid inverter architectures enabling seamless switching between grid-following and grid-forming modes.

Power Electronics Inverter Grid Forming 2022
Solar and battery inverter
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Automated Snail Detection and Tracking based-on YOLOv3

Real-time computer vision pipeline using YOLOv3 for detecting and tracking snails in paddy fields to support precision agriculture.

Object Detection YOLO Precision Agri 2020 · Researcher
Snail detection in agriculture
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Low Complexity Machine Learning Algorithm for Snail Detection and Tracking

Lightweight ML models optimized for resource-constrained edge devices to detect and track agricultural pests in real time.

Edge AI Tracking Low Complexity 2019 · Researcher
Smart agriculture
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Thai Food Image Recognition using Deep Neural Networks on Smartphone

Mobile deep learning system for recognizing Thai dishes from smartphone photos, enabling automated food logging and nutrition analysis.

Deep Learning Image Recognition Mobile AI 2015-2016 · PI
Thai food and smartphone
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VHF Radio Frequency Detection System with Remote Control over Internet Network

Remote-controlled VHF RF detection system accessible via internet networks for real-time signal monitoring and spectrum analysis.

RF Detection Remote Control IoT 2014-2015 · Researcher
Radio frequency equipment
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Tracking and Time Approximation System for EV via Smart Phone on Network 3G

Smartphone-based EV tracking and travel time estimation system leveraging 3G network infrastructure for smart transportation.

GPS Tracking EV Mobile App 2013 · Researcher
Electric vehicle tracking
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Teaching & Mentorship

school Teaching (Postgrad)

  • Data Science and Machine Learning for Smart City
  • Blockchain Technology
  • Big Data Analytics in Smart City
  • Built Environment and Sustainability
  • Cyber Security

groups Advisees

Current Students
  • Sorawut Jittanon PhD Student
  • Wathinee Kaewzaikird M.S. Student
  • Pawornwan Rawungpai M.S. Student
Graduated Students
  • Sorawut Jittanon M.S.
  • Karma Dorji Ph.D.
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Publications

school Google Scholar

Integrating Agentic Artificial Intelligence to Automate ICD-10 Medical Coding

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

Preprints, 2026

2026

A Discriminative Correlation Platform for Feature Representation Learning in Multimodal Information Computing

L Gao, K Liu, PT Hong, C Termritthikun, K Luangsawang, R Wangkeeree, ...

2026

2026

A Discriminant Correlation Neural Network for Feature Representation Learning

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

2025 IEEE 8th Int. Conf. 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), 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), 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

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Open to research collaborations and specialized AI consulting roles. Whether you have a question or just want to say hi, I'll try my best to get back to you!