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Dr. SANSIRI TARNPRADAB

Email: sansiri.tarn@kmutt.ac.th

Work Affiliations

Department of Computer Engineering - วิศวกรรม-คอมพิวเตอร์ (Faculty of Engineering)

Strategic Research Themes

Publications

● Anomaly Detection in Large-Scale Monitoring Systems using a Language Model; Supasate Vorathammathorn, Nopphakorn Subsa-ard, Tawan Thaepprasit, et al.; 2025; Conference proceedings article
● A Real-time Semi-supervised Log Anomaly Detection Framework for ALICE O2 Facilities; Arnatchai Techaviseschai, Sansiri Tarnpradab, Vasco Chibante Barroso, et al.; 2025; Journal article
● End-to-end Deep Networks with Hierarchical Attention and Capsule Capabilities for Misinformation Detection on Microblogging Platforms; Sansiri Tarnpradab & Kien A. Hua ; 2024; Journal article
● PlatePal: A Comprehensive Image-Based Food Analysis and Dietary Assistant Mobile Application; Piyachart Chailaemlak, Pakamon Trakarnkittikul, Sirawit Wattano, et al.; 2024; Conference proceedings article
● Real-time masked face recognition and authentication with convolutional neural networks on the web application; Sansiri Tarnpradab, Pavat Poonpinij, Nattawut Na Lumpoon and Naruemon Wattanapongsakorn; 2024; Journal article
● Toward Improving Robustness of Coreference Resolution for Thai Language; Poomphob Suwannapichat, Sansiri Tarnpradab, Santitham Prom-On; 2024; Conference proceedings article
● Z-coref: Thai Coreference and Zero Pronoun Resolution; Poomphob Suwannapichat, Sansiri Tarnpradab and Santitham Prom-on; 2024; Conference proceedings article
● An Empirical Study on the Effectiveness of Bi-LSTM-Based Industry Rotation Strategies in Thai Equity Portfolios; Thanason Eiamyingsakul, Sansiri Tarnpradab, and Unchalisa Taetragool; 2023; Conference proceedings article
● Masked Face Recognition and Identification Using Convolutional Neural Networks; Poonpinij, Pavat; Tarnpradab, Sansiri; Lumpoon, et al.; 2023; Conference proceedings article
● Optimizing Anomaly Detection in Large-scale Logs; Arnatchai Techaviseschai, Vasco Chibante Barroso, Sansiri Tarnpradab, et al.; 2023; Conference proceedings article

Expertise