Dr. Chantri Polprasert

1. Ph.D. In Electrical Engineering, University of Washington, Seattle, WA (2009)
2. M. Eng., Telecommunications, Asian Institute of Technology (AIT), Pathumthani, Thailand (2000)
3. B. Eng., Electrical Engineering, Chulalongkorn University, Bangkok, Thailand (1999)

My research interests cover topics in data science, artificial intelligence, cloud computing, IoT and sign language processing.

1. AT82.01 Computer Programming for Data Science and Artificial Intelligence
2. AT70.25 Full Stack Application Development
3. AT83.03 – Cloud Computing

1. Wangkiat, P., & Polprasert, C. (2023, May). Machine Learning Approach to Predict E-commerce Customer Satisfaction Score. In 2023 8th International Conference on Business and Industrial Research (ICBIR) (pp. 1176-1181). IEEE. (https:// 10.1109/ICBIR57571.2023.10147542)
2. Suwannalai, E., & Polprasert, C. (2020, November). Network intrusion detection systems using adversarial reinforcement learning with deep Q-network. In 2020 18th International Conference on ICT and Knowledge Engineering (ICT&KE) (pp. 1-7). IEEE. (https:// 10.1109/ICTKE50349.2020.9289884)
3. Pongnumkul, S., Khonnasee, C., Lertpattanasak, S., & Polprasert, C. (2020, March). Proof-of-concept (PoC) of land mortgaging process in blockchain-based land registration system of Thailand. In Proceedings of the 2020 The 2nd International Conference on Blockchain Technology (pp. 100-104). (https://doi.org/10.1145/3390566.3391669)
4. Meewella, T., Taparugssanagorn, A., & Polprasert, C. (2019). Design and development of a low cost mobile phone detector for detecting active mobile phones. International Journal of Systems, Control and Communications, 10(1), 52-66. (https://doi.org/10.1504/IJSCC.2019.097429)
5. Polprasert, C., Sruayiam, C., Pisawongprakan, P., & Teravetchakarn, S. (2019, November). A camera-based smart parking system employing low-complexity deep learning for outdoor environments. In 2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE) (pp. 1-5). IEEE. (https:// 10.1109/ICTKE47035.2019.8966901)
6. Prathanrat, P., & Polprasert, C. (2018, October). Performance prediction of Jupyter notebook in JupyterHub using machine learning. In 2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) (Vol. 3, pp. 157-162). IEEE. (https://10.1109/ICIIBMS.2018.8550030)
7. Pattawaro, A., & Polprasert, C. (2018, November). Anomaly-based network intrusion detection system through feature selection and hybrid machine learning technique. In 2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE) (pp. 1-6). IEEE. (https:// 10.1109/ICTKE.2018.8612331)
8. Polprasert, C., Kukieattikool, P., Demeechai, T., Ritcey, J. A., & Siwamogsatham, S. (2013). New stimulation pattern design to improve P300-based matrix speller performance at high flash rate. Journal of neural engineering, 10(3), 036012. (https:// 10.1088/1741-2560/10/3/036012)
9. Teachasrisaksakul, K., Thiemjarus, S., & Polprasert, C. (2013). A Bayesian Approach for Sound Source Estimation. ECTI Transactions on Computer and Information Technology (ECTI-CIT), 7(2), 196-204. (https://doi.org/10.37936/ecti-cit.201372.54370)
10. Xia, M., Rouseff, D., Ritcey, J. A., Zou, X., Polprasert, C., & Xu, W. (2013). Underwater acoustic communication in a highly refractive environment using SC–FDE. IEEE journal of oceanic engineering, 39(3), 491-499. (https:// 10.1109/JOE.2013.2257232)
11. Polprasert, C., Siwamogsatham, S., & Ritcey, J. A. (2013, September). Performance analysis of the bit-interleaved coded modulation using turbo equalization with single carrier frequency domain equalization using subblock signal processing over fast fading channels. In 2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) (pp. 149-153). IEEE. (https://10.1109/CAMAD.2013.6708107)
12. Polprasert, C., Ritcey, J. A., & Stojanovic, M. (2011). Capacity of OFDM systems over fading underwater acoustic channels. IEEE Journal of Oceanic Engineering, 36(4), 514-524. (https:// 10.1109/JOE.2011.2167071)
13. Vorakulpipat, C., Polprasert, C., & Siwamogsatham, S. (2014, September). Managing mobile device security in critical infrastructure sectors. In Proceedings of the 7th International Conference on Security of Information and Networks (pp. 65-68). (https://dl.acm.org/doi/abs/10.1145/2659651.2659742)
14. Polprasert, C., Pongpaibool, P., Kukieattikuool, P., Vorakulpipat, C., & Siwamogsatham, S. (2011, July). Sensor network for acoustic source localization using acoustic fingerprint in urban environments and construction sites. In Proceedings of the 28th International Symposium on Automation and Robotics in Construction: ISARC 2011, July 2011, Seoul, South Korea (pp. 581-586). (https://doi.org/10.22260/ISARC2011/0107)
15. Polprasert, C., & Ritcey, J. A. (2008). A Nakagami fading phase difference distribution and its impact on BER performance. IEEE Transactions on Wireless Communications, 7(7), 2805-2813. (https:// 10.1109/TWC.2008.070184

1. Sign Language Production
   Funding Agency: Asian Institute of Technology Budget: 150,000 Baht, Role: PI
2. Digital Learning Center
   Funding Agency: the Office of the National Broadcasting and Telecommunications Commission (NBTC), Budget: 10,000,000 Baht, Role: Assistant PI
3. Research funding on digital economy
   Funding Agency: Faculty of Science, Srinakharinwirot University, Budget: 300,000 Baht, Role: PI
4. Research funding on acoustics data transmissions
   Funding Agency: Faculty of Science, Srinakharinwirot University, Budget: 120,000 Baht, Role: PI

1. 2011 NRCT Ph.D. Thesis Award (2011) National Research Council of Thailand (NRCT)
2. Mobile App Award for Tangmochecker Android App for technologically challenging app (2011), National Electronics and Computer Technology Center (NECTEC)
3. Werner von Siemens Excellence Award for Outstanding academic performance. (2000), Asian Institute of Technology (AIT), Pathumthani, Thailand

1. UK Professional Standards Framework (UKPSF) Fellow
2. AWS Certified Solutions Architect
3. AWS Certified Cloud Practitioner
4. CCNA Certified Instructor
   
   

1. Machine Learning,
2. Data Science,
3. Deep Learning,
4. Artificial Intelligence,
5. Cloud computing,
6. Computer Networking,
7. Wireless communications