Naresuan university, Thailand, 2017 - 2021
Ph.D (Computer Engineering)
Advisor: Professor Dr Paisarn Muneesawang
Co-Advisor: Associate Professor Dr Ivan Lee (University of South Australia)
Dissertation: Development of deep learning neural network for on-device mobile processing
Naresuan university, Thailand, 2014 – 2017
M.Eng. (Computer Engineering)
Naresuan university, Thailand, 2013
B.Eng. (Computer Engineering)
The Royal Golden Jubilee (RGJ) scholarships to PhD in Computer Engineering at Naresuan university from Thailand Research Fund.
Visiting student research / STEM, University of South Australia, Australia, 2018 - 2020
A Fast-Neural Architecture Search using an Evolutionary Algorithm
Senior Developer / Fiber One Public Co., Ltd, Bangkok, Thailand, 2016 - 2017
Developed on-device facial verification using deep learning, applied to an automatic door (Autodoor) as a replacement for the fingerprint door lock
Teacher Assistant / Naresuan University, Thailand, 2012 - 2013
Computer Programming
Advanced Computer Programming
Computer and Data Communications
Most experienced with Python, Linux, C++, Java, PHP, SQL, and Git
Automated snail detection and tracking based-on YOLOv3, 2020
Low complexity machine learning algorithm for snail detection and tracking, 2019
Thai Food Image Recognition using Deep neural networks on Smartphone, 2015 – 2016
VHF Radio Frequency Detection System with Remote Control over Internet Network, 2014 – 2015
Tracking and time approximation system for EV via Smart phone on network 3G, 2013
Termritthikun, C., Xu, L., Liu, Y., & Lee, I. (2021, December). Neural Architecture Search and Multi-Objective Evolutionary Algorithms for Anomaly Detection. In 2021 International Conference on Data Mining Workshops (ICDMW) (pp. 1001-1008). IEEE.
Termritthikun C, Jamtsho Y, Lee I, Morien R, Muneesawang P. Towards a New Ultra-High-Speed Search Algorithm for Convolutional Neural Networks, In KSII The 11th International Conference on Internet (ICONI), Hanoi, December 2019.
Termritthikun C, Kanprachar S. Accuracy improvement of Thai food image recognition using deep convolutional neural networks. In Electrical Engineering Congress (iEECON), 2017 International 2017 Mar 8 (pp. 1-4). IEEE.
Tangkawanit S, Termritthikun C, Kanprachar S. Electric vehicle tracking and notification application for smart phones. In Electrical Engineering Congress (iEECON), 2014 International 2014 Mar 19 (pp. 1-4). IEEE.
Termritthikun C, Jamtsho Y, Muneesawang P, Zhao J, Lee I. Evolutionary neural architecture search based on efficient CNN models population for image classification. Multimedia Tools and Applications. 2022 Nov 24:1-27. [ISI]
Umer A, Termritthikun C, Qiu T, Leong PH, Lee I. On-device Saliency Prediction based on Pseudo Knowledge Distillation. IEEE Transactions on Industrial Informatics. 2022 Feb 23. [ISI]
Termritthikun C, Jamtsho Y, Ieamsaard J, Muneesawang P, Lee I. EEEA-Net: An Early Exit Evolutionary Neural Architecture Search. Engineering Applications of Artificial Intelligence. 2021. [ISI]
Termritthikun C, Jamtsho Y, Muneesawang P. An improved residual network model for image recognition using a combination of snapshot ensembles and the cutout technique. Multimedia Tools and Applications. 2020 Jan 1;79(1-2):1475-95. [ISI]
Termritthikun C, Muneesawang P. NU-LiteNet: Mobile Landmark Recognition using Convolutional Neural Networks. ECTI Transactions on Computer and Information Technology (ECTI-CIT). 2019 Oct 9;13(1):71-8. [Scopus]
Termritthikun C, Jamtsho Y, Muneesawang P. On-device facial verification using NUF-Net model of deep learning. Engineering Applications of Artificial Intelligence. 2019 Oct 1;85:579-89. [ISI]
Termritthikun C, Kanprachar S. NU-ResNet: Deep Residual Networks for Thai Food Image Recognition. Journal of Telecommunication, Electronic and Computer Engineering (JTEC). 2018 Jan 29;10(1-4):29-33. [Scopus]
Termritthikun C, Muneesawang P, Kanprachar S. NU-InNet: Thai Food Image Recognition Using Convolutional Neural Networks on Smartphone. Journal of Telecommunication, Electronic and Computer Engineering (JTEC). 2017 Jun 1;9(2-6):63-7. [Scopus]
Termritthikuna C, Tangkawanit S, Kanprachar S. DATA AND ENERGY USAGE REDUCTION FOR LIVE STREAMING ON SMART PHONE USING FUZZY LOGIC. JURNAL TEKNOLOGI. 2016 Jan 1;78(5-9):35-40. [Scopus]
Settha Thangkawanit, Wanchaleam Chansong, Witsawa Namwong, Chakkrit Termritthikun, Kritsana Wataniyanon, and Suwit Kiravittaya., Arrival time approximation and tracking of NU-EV via wireless network. Naresuan University Engineering Journal, Vol.8(21-29). [TCI]
Development of deep learning neural network for on-device mobile processing at the 2021 National RGJ and RRI conferences, Bangkok, Thailand
NU-EA-Net: On-device Convolutional Neural Networks Model using Evolutionary Algorithm at NVIDIA’s GPU Technology Conference (GTC 2019), San Jose McEnery Convention Center, San Jose, CA, USA
NUF-Net: On-device Facial Recognition using Convolutional Neural Networks at NVIDIA’s GPU Technology Conference (GTC 2018), San Jose McEnery Convention Center, San Jose, CA, USA
NU-LiteNet: Mobile Landmark Recognition Using Convolutional Neural Networks at NVIDIA’s GPU Technology Conference (GTC 2017), San Jose McEnery Convention Center, San Jose, CA, USA