Personnel of the Faculty of Science

← Division of Computational Science
Asst. Prof. Dr.

Thakerng Wongsirichot

Assistant Professor
  • thakerng.w@psu.ac.th
  • 8676
  • Information and Communication Technology
  • Division of Computational Science

Education

Graduated Year
Degree
Country
2018
Ph.D. (Computer Science)
Thailand
2003
M.I.S. (Information Systems) UNIVERSITY OF WOLLONGONG
Australia
2001
B.Com (Information Systems) UNIVERSITY OF WOLLONGONG
Australia

Specialist / Interested

Business Information System
Accounting Information System
Decision Support Systems
Artificial Intelligent (Software based application)
Data Warehousing/Web Warehousing
Ontology/Semantic Web
Forecasting Model
Information Retrieval

Publication

From Scopus

Author ID: 56373576100
1
Teoh C.L., Tan X.J., Ab Rahman K.S., Bakrin I.H., Goh K.M., Wan Muhamad W.Z.A., Lim C.C., Cheor W.L., Wongsirichot T., 2025. A Review of Current Cell Annotation Systems for Histopathology Images. Journal of Advanced Research Design 135(1): 88-100. (cited 0 times)
2
Damkliang K., Thongsuksai P., Wongsirichot T., Kayasut K., 2025. Detection and score grading for prostate adenocarcinoma using semantic segmentation. Plos One 20(9 September), Article Number e0331613 (cited 0 times)
3
Zhang J., Qin X., Jhanjhi N.Z., Wu X., Zhao W., Singh D., Yang S.H., Liu G., Zhang D., Fu Q., Chen Y., Javanmardi E., Noy I., Yang Y., Ren Z., Liu T., Wang J., Qian J., He Y., Dhindsa K.S., Sahingoz O.K., Wei G., Managi S., Dennis A.R., Bader D.A., Moparthi N.R., Zhu F., Lester J.C., El-Zoghdy S.F., Gherabi N., Sommer D.W., Pinedo M., Markatos N., Laszlo C., Luo H., Sulaiman S., Shibghatullah A.S.b., Luo Y., Yang H., Haldorai A., Kumar A., Talpur M.S.H., Al-Shami A., Alghazo J., Jusoh A., Husin A.R.C., Mahadi B., Wongsirichot T., Khamis S.B., Ayyasamy R.K., Adnan K., Sen S.C., Willenbrock R., Chen M., 2025. Preface. Proceedings of 2024 4th International Conference on Big Data Artificial Intelligence and Risk Management Icbar 2024 : xvi. (cited 0 times)
4
Damkliang K., Wongsirichot T., Suwanno K., Cheranakhorn C., Sangkeaw S., Sottisataworn S., 2025. An AI-Based Decision Support Framework for Clinical Screening of Iron Deficiency Anemia and Thalassemia. IEEE Access 13: 133937-133957. (cited 2 times)
5
Julkaew S., Wongsirichot T., Damkliang K., Sangthawan P., 2024. DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients. BMC Medical Informatics and Decision Making 24(1), Article Number 45 (cited 5 times)
6
Julkaew S., Wongsirichot T., Damkliang K., Sangthawan P., 2024. Improving accuracy of vascular access quality classification in hemodialysis patients using deep learning with K highest score feature selection. Journal of International Medical Research 52(4) (cited 3 times)
7
Phumkuea T., Wongsirichot T., Damkliang K., Navasakulpong A., Andritsch J., 2023. MSTAC: A Multi-Stage Automated Classification of COVID-19 Chest X-ray Images Using Stacked CNN Models. Tomography 9(6): 2233-2246. (cited 0 times)
8
Phumkuea T., Nilvisut P., Wongsirichot T., Damkliang K., 2023. A NEW COMPUTER-AIDED DIAGNOSIS of PRECISE MALARIA PARASITE DETECTION in MICROSCOPIC IMAGES USING A DECISION TREE MODEL with SELECTIVE OPTIMAL FEATURES. Biomedical Engineering Applications Basis and Communications 35(4), Article Number 2350004 (cited 2 times)
9
Damkliang K., Wongsirichot T., Khongrak C., Suwannarat P., 2023. An Optimal Deep Learning Approach to BCa Tissue Detection using Case Studies. Ecti Transactions on Computer and Information Technology 17(1): 60-72. (cited 2 times)
10
Damkliang K., Thongsuksai P., Kayasut K., Wongsirichot T., Jitsuwan C., Boonpipat T., 2023. Binary semantic segmentation for detection of prostate adenocarcinoma using an ensemble with attention and residual U-Net architectures. Peerj Computer Science 9, Article Number e1767 (cited 9 times)
Access all results for your search in Scopus (Author ID: 56373576100)
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Publication

From the Faculty of Science

1
Damkliang, K., Thongsuksai, P., Wongsirichot, T., & Kayasut, K. (2025). Detection and score grading for prostate adenocarcinoma using semantic segmentation. Plos One, 20(9 September), e0331613.
2
Damkliang, K., Wongsirichot, T., Suwanno, K., Cheranakhorn, C., Sangkeaw, S., & Sottisataworn, S. (2025). An AI-Based Decision Support Framework for Clinical Screening of Iron Deficiency Anemia and Thalassemia. Ieee Access, 13, 133937-133957.
3
Julkaew, S., Wongsirichot, T., Damkliang, K., & Sangthawan, P. (2024). DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients. Bmc Medical Informatics And Decision Making, 24(1), -.
4
Julkaew, S., Wongsirichot, T., Damkliang, K., & Sangthawan, P. (2024). Improving accuracy of vascular access quality classification in hemodialysis patients using deep learning with K highest score feature selection (SCIE). Journal Of International Medical Research, 52(4), 1-15.
5
Phumkuea, T., Wongsirichot, T., Damkliang, K., Navasakulpong, A., & Andritsch, J. (2023). MSTAC: A Multi-Stage Automated Classification of COVID-19 Chest X-ray Images Using Stacked CNN Models (SCIE). Tomography, 9(6), 2233 - 2246.
6
Damkliang, K., Thongsuksai, P., Kayasut, K., Wongsirichot, T., Jitsuwan, C., & Boonpipat, T. (2023). Binary semantic segmentation for detection of prostate adenocarcinoma using an ensemble with attention and residual U-Net architectures (SCIE). Peerj Computer Science, 9(e1767), 1-29.
7
Phumkuea, T., Nilvisut, P., Wongsirichot, T., & Damkliang, K. (2023). A NEW COMPUTER-AIDED DIAGNOSIS of PRECISE MALARIA PARASITE DETECTION in MICROSCOPIC IMAGES USING A DECISION TREE MODEL with SELECTIVE OPTIMAL FEATURES (ESCI). Biomedical Engineering - Applications, Basis And Communications, 35(4), 2350004.
8
Damkliang, K., Wongsirichot, T., Khongrak, C., & Suwannarat, P. (2023). An Optimal Deep Learning Approach to BCa Tissue Detection using Case Studies. Ecti Transactions On Computer And Information Technology, 17(1), Pages 60 - 72.
9
Phumkuea, T., Wongsirichot, T., Damkliang, K., & Navasakulpong, A. (2023). Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation (ESCI). Jmir Formative Research, 7, 1-16.
10
Widoyo, R., Djafri, D., Putri, A., Yani, F., Kusumawati, R., Wongsirichot, T., & Chongsuvivatwong, V. (2023). Missing Cases of Bacteriologically Confirmed TB/DR-TB from the National Treatment Registers in West and North Sumatra Provinces, Indonesia (SCIE). Tropical Medicine And Infectious Disease, 8(1), Article number 31.
11
Damkliang, K., Wongsirichot, T., & Thongsuksai, P. (2021). TISSUE CLASSIFICATION FOR COLORECTAL CANCER UTILIZING TECHNIQUES OF DEEP LEARNING AND MACHINE LEARNING (ESCI). Biomedical Engineering-applications Basis Communications, 33(3), Article number 2150022.
12
Wongsirichot, T., Elz, N., Kajkamhaeng, S., Nupinit, W., & Sridonthong, N. (2019). An investigation of data mining based Automatic Sleep Stage Classification techniques. International Journal Of Machine Learning And Computing, 9(4), 520-526.
13
Trakulmaykee, N., Wongsirichot, T., & Trakulmaykee, Y. (2018). A Comparative Study of Factors’ Influences Affecting Tourists’ Intention to Use Mobile Food Information: Independent Tourists and Package Tourists. International Journal Of Innovation And Technology Management, 15(1), 1-20.
14
Wongsirichot, T., Pattanaphanchai, J., Sopyada, N., & Hayeewaehama, S. (2017). A Prototype of Sleepwalking Detection and Monitoring System Using Smart Devices. Advanced Science Letters, 6(23), 5126-5129(4).