Dr. Attaphongse Taparugssanagorn

1. Doctor of Technology, University of Oulu, Finland, (2007)
2. Master of Science degree in Electrical Engineering, Technische Universität Kaiserslautern, Germany, (2001)
3. Bachelor of Engineering degree from Chulalongkorn University, Thailand, (1997)

Dr. Pong is an expert in signal processing, statistical signal processing, and Artificial Intelligence (AI), particularly in wireless communications with a special focus on integrating AI into smart systems. His research interests encompass the Internet of Things (IoT), exploring data-driven reliability in structural health monitoring, gait abnormality detection with low-power wearable smart shoes, low-cost data acquisition for optical character recognition, coexistence awareness in IoT systems, and environment protection and disaster prediction, extending to innovations in smart greenhouse and smart farming.

1. AT77.02 Signals, Systems and Stochastic Processes (3 credits: 3(2-3))
2. AT83.02 Wireless Technologies for IoT 3 credits (3 credits: 3(2-3))
3. AT77.13 Digital Communications 3 credits (3 credits: 3(3-0))
4. AT77.07 Cellular Mobile System 3 credits (3 credits: 3(3-0))

Books and Monographs

1. Attaphongse Taparugssanagorn, “Classical Signal Processing and Non-Classical Signal Processing: The Rhythm of Signals,” published on 2023-08-03. https://www.cambridgescholars.com/product/978-1-5275-2864-2

Book Chapters

1.  Tanka N. Sharma (During his Master’s research) and Attaphongse Taparugssanagorn, “Crop Prediction Based on Soil Parameters Using Internet of Things, Machine Learning, and Implemented over Wi-Fi Protocol,” Advances in Engineering Research. Volume 50,  Nova Science Publishers, Inc., 2022
2.  Natthanan Promsuk (During his Doctoral study) and Attaphongse Taparugssanagorn, “Artificial Intelligence Based Optical Character Recognition System and Interference Suppression in Industrial Internet of Things Network,” Advances in Engineering Research. Volume 49, Nova Science Publishers, Inc., 2022
3.  Kalapatapu V S K R Shiva Kumar (During his Master’s research), Attaphongse Taparugssanagorn, and S.D. Arunya P. Sanadeera, “Virtual Internet of Things Laboratory using Node-Red,” Book Chapter: Digital Transmission. INTECH Open Access Publisher, 2022
4.  Anuradhi Malshika Welhenge (During her Doctoral study) and Attaphongse Taparugssanagorn, “Long Short-Term Memory Network for Human Activity Classification,” Advances in Engineering Research. Volume 35, Nova Science Publishers, Inc., 2020 https://novapublishers.com/shop/advances-in-engineering-research-volume-35/
5.  Carlos Pomalaza-Ráez and Attaphongse Taparugssanagorn, Ultra Wideband, ISBN 979-953-307-8099 Chapter title: THE UWB CHANNEL IN MEDICAL WIRELESS BODY AREA NETWORKS. INTECH Open Access Publisher, 2012 https://www.intechopen.com/books/ultra-wideband-current-status-and-future-trends/the-uwb-channel-in-medical-wireless-body-area-networks-wbans- 

Articles in Refereed International Journals

1. Le Chung Tran, Anh Tuyen Le, Xiaojing Huang, Duy Ngo, Eryk Dutkiewicz, and Attaphongse Taparugssanagorn “Complexity Reduction for Hybrid TOA/AOA Localization in UAV-Assisted WSNs,” submitted to IEEE Sensors Letters, 14 June 2023.
   Impact Factor: 2.8
2. J38] Aung Kaung Myat (During his Master’s research), Roberto Minerva1, Attaphongse Taparugssanagorn, Praboda Rajapaksha, and Noel Crespi, “Traffic Intensity Detection using General-purpose Sensing,” IEEE Sensors Letters, vol. 7, issue 11, pp. 1-4, 2023.
   Impact Factor: 2.8
3.  Sumanya Ngandee (During her Doctoral study) and Attaphongse Taparugssanagorn, “Improved information dissemination services for the agricultural sector in Thailand: development and evaluation of an ML based rice crop yield prediction system,” Information Development, SAGE, 2023.
   Impact Factor: 2.079, 5-Year Impact Factor: 2.356 
4. Mariella Särestöniemi, Attaphongse Taparugssanagorn, Juthatip Wisanmongkol (During her Doctoral study), Matti Hämäläinen, and Jari Iinatti, “Comprehensive Analysis of Wireless Capsule Endoscopy Radio Channel Characteristics Using Anatomically Realistic Gastrointestinal Simulation Model,” IEEE Access, vol. 11, pp. 35649 – 35669, 2023.
   2021 Impact Factor: 3.476 
5.  Sanjeev Shaka, Attaphongse Taparugssanagorn, and Chaklam Silpasuwanchai, “Convolutional Neural Network-Based Low-Powered Wearable Smart Device for Gait Abnormality Detection,” IoT, MDPI, vol. 4, no. 2, pp. 57-77, 2023.
   Citescore: 5.2
6.  Zanru Yang, Le Chung Tran, Farzad Safaei, Anh Tuyen Le, and Attaphongse Taparugssanagorn, “Real-Time Step Length Estimation in Indoor and Outdoor Scenarios,” Sensors,  vol. 22, no. 21, 8472, 2022.
   2022-2023 Impact Factor: 3.847
7.  Warayut Surasakhon (During his Master’s thesis), Attaphongse Taparugssanagorn, Sarawut Lerspalungsanti, Khirakorn Thipprachak, “Early Detection of a Fall Using Wi-Fi and Deep Learning,” International Journal of Sensor Networks (IJSNET), Inderscience Publishers.
   Impact Factor: 1.49
8. Joyeeta Rani Barai (During her Master’s thesis) and Attaphongse Taparugssanagorn, “HAPS-SMBS 3D Installation for 5G FANET Performance Optimization Using a DNN, WCOP and NetSim Based Scheme,” International Journal of Sensor Networks (IJSNET), Inderscience Publishers.
   Impact Factor: 1.49
9. Manash Mahanta (During his Master’s thesis), Attaphongse Taparugssanagorn, and Bipun Man Pati, “Assessment of Spectrum Sensing using Support Vector Machine Combined with Principal Component Analysis,” International Journal of Sensor Networks (IJSNET), Inderscience Publishers.
   Impact Factor: 1.49
10. Juthatip Wisanmongkol (During her Doctoral study), Attaphongse Taparugssanagorn, Le Chung Tran, Anh Tuyen Le, Xiaojing Huang, Christian Ritz, Eryk Dutkiewicz, and Son Lam Phung, “An ensemble approach to deep-learning-based wireless indoor localization,” IET Wireless Sensor Systems, Wiley, 1 March 2022, pp. 1-23.
    Impact Factor: 2.62
11. Anuradhi Welhenge and Attaphongse Taparugssanagorn, “Blood Pressure Estimation from Photoplethysmography with Motion Artifacts using Long Short Term Memory Network,” Journal of Biomimetics, Biomaterials and Biomedical Engineering (JBBBE), vol. 54, Jan 2022, pp. 31-39.
    SCImago Journal Rank (SJR): 0.183
12. (From the student project of the IoT Technologies and Design course) S. D. Arunya P. Senadeera, Su Kyi, Thanapol Sirisung, Watsamon Pongsupan, Attaphongse Taparugssanagorn, and Matthew N. Dailey, Tun Aung Wai, “Cost Effective and Low Power IoT based Tissue Paper Monitoring System: An Application Modeling Approach,” Journal of Low Power Electronics and Applications (J. Low Power Electron. Appl.) 2021, vol. 11, no.4, 46. 2020 CiteScore: 2.7
13. Anuradhi Welhenge (During her Doctoral study) and Attaphongse Taparugssanagorn, “A study of sustainable and safe signal processing techniques in wireless body sensor network for heart rate estimation with context awareness,” Journal of Green Engineering, vol. 11, Issue 1, pp. 896-907, 2021.
    2019 CiteScore: 0.8
14. Sumanya Ngandee (During her Doctoral study), Attaphongse Taparugssanagorn, John K. M. Kuwornu, and Chutiporn Anutariya “Assessment of Rice Yield Prediction Models based on Big Data Analytics for Better Supply Chain Decision Making in Thailand,” International Journal of Value Chain Management (IJVCM), 27 pages, 2020.
    2019 CiteScore: 1.1
15. Natthanan Promsuk (During his Doctoral study) and Attaphongse Taparugssanagorn, “Numerical Reader System for Digital Measurement Instruments Embedded Industrial Internet of Things,” Journal of Communications (JCM), 10 pages, 2020.
    2019 CiteScore: 0.9
16. Sheraz Khan (During his Doctoral study), Poompat Saengudomlert, and Attaphongse Taparagssanagorn, “Modeling and Delay Performance Analysis of WRANs under Incumbent Coexistence and Self-Coexistence with Multi-Channel Operations,” International Journal of Communication Systems, 25 pages, 2020.
    Impact Factor: 1.319
17. Natthanan Promsuk (During his Doctoral study) and Attaphongse Taparugssanagorn, “Long Short Term Memory Network-based Interference Recognition for Industrial Internet of Things,” Journal of Communications (JCM), 10 pages, 2020.
    2019 CiteScore: 0.9
18.  Bipun Man Pati (During his Doctoral study), Megumi Kaneko, and Attaphongse Taparugssanagorn, “A Deep Convolutional Neural Network based Transfer Learning Method for Non-Cooperative Spectrum Sensing,” IEEE Access, vol 8, pp. 164529-164545, Sep. 2020. SCOPUS citation: 15
    Impact Factor: 3.745
    
19. Anuradhi Welhenge (During her Doctoral study), Attaphongse Taparugssanagorn, and and Carlos Pomalaza-Ráez, “Performance Comparison of Variants of LMS Algorithms for Motion Artifact Removal in PPG Signals During Physical Activities,” in Biomedical Journal of Scientific & Technical Research (BJSTR),” vol. 13, issue 3, 7 pages, 2019.
    SCOPUS citation: 0
    Impact Factor: 0.548.
20. Su Kyi (During her Master’s thesis) and Attaphongse Taparugssanagorn, “Wireless Sensing for a Solar Power System,” Digital Communications and Networks (DCN), pp. 1-9, Nov.2018.
    SCOPUS citation: 9
    Impact Factor: 3.41

1. Improved Wi-Fi based Indoor Users’ Locations Estimation and Ultrawideband (UWB) with Bayesian filtering based Indoor Users’ Locations Estimation
   Sponsor: AIT Research Initiation Grant
   Duration: Jan 2016 – Jun 2016
   Gross = THB 50,000 / Overhead = 0 baht
   The objective of this project is to design one or more indoor positioning methods to improve the performances compared to the existing ones in terms of their following performances: accuracy, latency, cost and future development opportunities.
2. TV White Space (Unused TV band) Measurement and Communications
   Sponsor: The National Broadcasting and telecommunications Commission
   Duration: 6 March 2017 – 21 September 2018 (Extended till 19 January 2019)
   Gross/Overhead: Gross = THB 3,784,461.60 / Overhead = THB 187,430
   Description: The objective of this project is summarized as follows:
   To design a low cost, portable TV white space measurement system, conduct the measurement campaigns in rural, urban, and suburban areas, analyze the measured data, and implement new sensing methods.
   To design and implement a cognitive radio communication system using TV white space.
3. AIT OpenCellular Training Center Project
   Sponsor: Telecom Infra Project
   Duration: March 1st, 2019 and ending on July 31st, 2020
   Gross/Overhead: Gross = USD 12,000 or THB 375,720 and 2 units of OpenCellular-Software defined Radio Devices (OC-SDR) devices
   Description: The objective of this project is summarized as follows:
   To develop the non-commercial development and non-traditional deployment of OpenCellular (OC) in AIT and rural areas where access to cellular is limited due to availability of service, price of service or limited consumer demand
4. FinCEAL Plus BRIDGES Grants 2019 (Research Visit Grants from the regions to Finland)
   The visit to the University of Oulu (UOulu), Oulu, Finland
   Discussion about the dual degree program and the research collaboration on SDG#9: Industry, Innovation and Infrastructure, in particular, new digital technologies, advanced wireless communications, Internet of Things, Artificial Intelligence, Big Data and advanced analytics helping advance sustainable development is indispensable.
   Duration: September 21st-September 29th, 2020
   Budget: Total costs for the whole visit: € 2956 or THB 108,616
5. Marie Skłodowska-Curie Actions, Research and Innovation Staff Exchange (RISE): Call: H2020-MSCA-RISE-2019
   Project title: Reliable Technologies and Models for Verified Wireless Body-centric Transmission and Localization (ROVER) project
   University of Oulu (OULUN YLIOPISTO) FINLAND (PI)
   UNIVERSITA DEGLI STUDI DI FIRENZE ITALY
   LONDON SOUTH BANK UNIVERSITY LBG UK
   OSLO UNIVERSITETSSYKEHUS HF NORWAY
   JSB Solutions ITALY
   ELAROS 24/7 LIMITED UK 1
   UMBRIA BIOENGINEERING TECNOLOGIES SOCIETA A
   RESPONSABILITA LIMITATA ITALY
   YOKOHAMA NATIONAL UNIVERSITY JAPAN
   UNIVERSITY OF TECHNOLOGY SYDNEY AUSTRALIA
   ASIAN INSTITUTE OF TECHNOLOGY THAILAND
   WORCESTER POLYTECHNIC INSTITUTE US
   NIST US
   University of Oulu Research Institute Japan – CWC-Nippon JAPAN
   UNIVERSITY OF NEBRASKA US
   2) Duration: 4 years starting on 01/01/2020, extension due to the COVID-19
   3) Budget: Total: € 358800.00 or USD 420370.08 or 13,183,030 and € 69000 or USD 80840.40 for AIT
   For secondments € 31500 or USD 36905.40 or THB 1,157,336
   Management and indirect costs: € 10500 or USD 12301.80 or THB 385,798
   Research, training and networking costs: € 27000 or USD 31633.20 or THB 992,051
6. NICT, Japan
   Project title: Prevention of 4 Disasters and Their Single Recovery Networks based on Internet-of-Things with Airborne Capability (PATRIOT-41R-Net) – ICT Virtual Organization of ASEAN Institutes and NICT (ASEAN IVO)
   NICT, Japan (Donor), Telkom University (Tel-U), Indonesia (PI), and Universiti Teknologi Malaysia (UTM), Malaysia, Asian Institute of Technology (AIT), Thailand, Hanoi University of Science and Technology (HUST), Viet Nam, and Japan Advanced Institute Science and Technology (JAIST), Japan
   Duration: 24 months: July 1st, 2019 to June 21st, 2021
   Budget: USD 40,000 or THB 1,252,400.
   I can use the budget for travelling to attend the meetings and for purchasing the NetSim Education Suite which costs USD 2,500 or THB 78,275 for the research and our laboratory
7. The National Broadcasting and telecommunications Commission (NBTC)
   Project title: Telehealth Monitoring and Assistive Systems for Elderly and Disabled People (WP2.2: Fall Detection using Wireless Communication Technologies and Deep Learning for elderly people and WP3: Tele-Operation System for Bimanual Rehabilitation for elderly people)
   I am a member
   Duration: 36 months: 1 June 2022-16 May 2025
   Budget: THB 14,847,715.90 or USD 408,609.14

1. Year 2005: Nokia Foundation
   The Nokia Foundation is intended to encourage efficient, fast-progressing doctoral studies and research. Nokia Foundation is granted to individuals pursuing a doctoral degree in information or telecommunications technology or in clearly related supporting scientific disciplines. 
   
2. Year 2009: Global Centre of Excellence (GCOE) fellowship
   The GCOE fellowship provides funding support for establishing education and research centers that perform at the apex of global excellence to elevate the international competitiveness of Japanese universities.
   
3. Year 2020: Winner Team “Super Mask” in the hardware category at the virtual pitch day, AIT’s Open Call Against Covid-19