People

Current students

Ph.D students

  • Alok Yadav (2020-Present)  

Master students

  • Phongsathorn Kittiworapanya (2021-Present) 

  • Pornprom Kiawjak (2020-Present) Co-supervised with Dr. Somkiat Wangsiripitak

Undergraduate students

  • Nonthapaht Taspan, Bukorree Madthing (2022-Present) Car Part Segmentation

  • Siwawong Wonglertchai, Knuth Mekakakorn (2022-Present) Thai food image recognition using convolutional neural network

  • Noppakorn Suddang, Pongpera Wongsamran (2022-Present) An application of license plate recognition from in-car camera for car tracking system, Co-supervised with Dr. Sumet Prabhavat

Internship student

  • Muhammad Cendekia Airlangga, Institut Teknologi Sepuluh Nopember, Indonesia (2022-Present) Indonesian Text Classification

Alumni

Ph.D students

  • Wasu Kudisthalert (2017-2022) Variants of Extreme Learning Machine for Image Classification Problems: Developments and There Real-World Applications
  • Wanthanee Rathasamuth (2016-2020) A Study of Heuristic Feature Selection Techniques for SNP Database
  • Syukorn Abu Ishaq Alfarozi (2015-2019), Local Sigmoid Method and Its Application on Visible Light Communication, Co-supervised with Dr. Kuntpong Woraratpanya
  • Ungsumalee Suttapakti (2012-2018), Empirical Monocomponent Image Decomposition and Its Application, Co-supervised with Dr. Kuntpong Woraratpanya

Master students

  • Supawit Vatathanavaro (2018-2020) The Modification of Loss Function in Deep Learning for Class Imbalance Data
  • Suchat Tungjitnob (2018-2020) The Application of Deep Neural Networks in Semi Supervised Learning with Image Data
  • Chanawee Chavaltada (2016-2019) On Feature Combination for Product Hierarchical Classification by Multiple Kernel Learning
  • Wisuwat Sunhem (2015-2017) Face Shape Classification: An approach to Combine Hand-Crafted and Deep Features
  • Wasu Kudisthalert (2015-2017) Clustering-Based Weighted Extreme Learning Machine for Classification in Drug Discovery Process
  • Kittipop Peuwnuan (2015-2017) Co-supervised with Dr. Kuntpong Woraratpanya
  • Rathawut Lertsuksakda (2014-2015) Sentiment Analysis using SentiNet, Co-supervised with Dr. Ponrudee Netisopakul

Undergraduate students

  • Thanawat Wongsud, Netchanok Petchurai (2021-2022) Pregnancy Tracking System

  • Punyapat Plangpranet, Sarunyu Ruenruay (2021-2022) A Study on Deep Learning Application for SDN-Based Traffic Management, Co-supervised with Dr. Sumet Prabhavat

  • Werasut Karnbunjob, Massakorn Aksornsiri (2021) Hatespeech Detection in Thai

  • Phongsathorn Kittiworapanya (2020-2021) DeepWaste: Waste Estimation and Classification System using Computer Vision

  • Jakkrit Sonsanit, Watcharin Sirigate (2020) Analysis of Dust Exposure Impact on Risk Factors for Cardiovascular Diseases 
  • Nut Chukamphaeng (2020) Learning to Race with Multi-Agent Deep Reinforcement Learning

  • Thanawat Lodkaew (2019-2020) Hybrid Loss for Learning Imbalanced Data

  • Napasin Hongngern (2019-2020) Car Parts Segmentation by Deep Learning

  • Pornprom Kiawjak (2019-2020) Speaker Verification System, Co-supervised with Dr. Somkiat Wangsiripitak

  • Kavin Ruengprateepsang (2019-2020) Lip Password, Co-supervised with Dr. Somkiat Wangsiripitak

  • Boonyarith Piriyothinkul (2018-2019) Text Detection in Manga – Best Paper Award-KST2019
  • Supawit Getmark, Kijtana Chayangsu (2017-2018) Human Gaze Behavior Analysis on Web Browser in Smartphone
  • Jiravat Boonkumnerd (2017-2018) Automated Document Extraction System
  • Jirathon Rodprasitt, Wikran Sakuldee (2016-2017) Cow Grading System From Photograph, Co-supervised with Dr. Natapon Pantuwong
  • Phassarun Iamamphai (2016-2017) A Study of Approaches to Improve Open Government Data Website and a Preparation for Architecture Overview and Big Data Analytic Service on Cloud Computing
  • Kittipop Peuwnuan, Kittayoch Kongkatitham (2015-2016) Text Recognition in Natural Scenes for Mobile Devices, Co-supervised with Dr. Kuntpong Woraratpanya
  • Chayanis Tuntearapong (2015-2016) Text Detection and Recognition for Text-to-speech synthesis, Co-supervised with Dr. Kuntpong Woraratpanya
  • Panawee Chatkamjuncharoen, Chotiros Wuttilertdeshar (2014-2015) The Prediction of Human Emotion Using Image features and Eye Movements – Best Paper Award-NCIT2015
  • Trust Rukkunnathum, Chodok Posew (2014-2015) Driver Training Simulator System
  • Nutchaphon Rewik (2014-2015) Particle-Flow Interactive Animation for Painting Image, Co-supervised with Dr. Kuntpong Woraratpanya – Samart Best Senior Project Award
  • Sittipong Apichartstaporn (2014-2015) Analysis of P300 and N100 Signals on Brain-computer Interface with Vibrotactile Biofeedback
  • Panupon Usachokcharoen (2014-2015) Sign Language Recognition Using Microsoft Kinect
  • Kittipun Khantitrirat, Chayaphol Prapaipornlert (2013-2014) The Development of Music Information Retrieval System on iOS
  • Rathawut Lertsuksakda, Treerat Klaysuwan (2013-2014) Sentiment analysis using SentiNet, Co-supervised with Dr. Ponrudee Netisopakul – The NSC2014 Finalist
  • Kittaboon Panjarattanakorn, Ubolwan Chaovanakij (2013-2014) The Development of Next Generation Sequencing Tool for Annotation and Variant Filtering of Human Nucleotide Alteration – Best Paper Award-NCCIT2014
  • Kris Thangchoeywilai (2012-2013) A Development of Computer Game for Enhancing Children skills – The Winner of Microsoft TechDays Thailand & WOWZAPP-Ver2013 (Windows 8 Game), Best Senior Project Award-IT.KMITLThai food image recognition using convolutional neural network