อ.ดร.อัดนา เซนโต๊ะ

Adna Sento, Ph.D.

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คณะวิศวกรรมศาสตร์ | วศ.บ. วิศวกรรมคอมพิวเตอร์และปัญญาประดิษฐ์ (CE)

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หลักสูตรวิศวกรรมคอมพิวเตอร์ คณะวิศวกรรมศาสตร์ สถาบันเทคโนโลยีไทย-ญี่ปุ่น

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  1. (2012) Adna Sengto, Leauhatong, T., Human falling detection algorithm using back propagation neural network, Biomedical Engineering International Conference (BMEiCON), 2012 , vol., no., pp.1,5, 5-7 Dec. 2012.
  2. (2014) Adna Sengto, Wimol San-Um, Jirayu Peetakul, and Amad Damau “An integrated real-time web-based power monitoring with mobile phone warning system”, Management and Innovation Technology International Conference (MITiCON2014), 2014, vol., no., pp.40-43, 17-19, 2014.
  3. (2016) Adna Sento and Yuttana Kitjaidure, Neural network controller based on PID using an extended Kalman filter algorithm for multi-variable non-linear control system, 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI), Chiang Mai, pp. 302-309, 2016.
  4. (2016) Adna Sento “Image Compression with Auto-encoder Algorithm using deep neural network (DNN)” 2016 Management and Innovation Technology International Conference (MITicon) (MITiCON2016), 2016, vol., no., pp.90-103, 2016.
  5. (2016) Adna Sento; Yuttana Kitjaidure “A hybrid CKF-NNPID controller for MIMO nonlinear control system” ECTI Transactions on Computer and Information Technology, Vol 10, No 2 (2016).
  6. (2017) Adna Sento, P. Srisuk and Yuttana Kitjaidure, An intelligent system architecture for meal assistant robotic arm, 2017 9th International Conference on Knowledge and Smart Technology (KST), Chonburi, pp. 166-171, 2017.
  7. (2017) P. Srisuk, A. Sento and Y. Kitjaidure, Inverse kinematics solution using neural networks from forward kinematics equations, 2017 9th International Conference on Knowledge and Smart Technology (KST), Chonburi, 2017, pp. 61-65
  8. (2018) Adna Sento, and Yuttana. Kitjaidure, “A Neural Network PID-Like Controller Using a Hybrid of Online Actor-Critic Reinforcement Algorithm with the Square Root Cubature Kalman Filter”, The International Journal of Intelligent Engineering and Systems, Vol. 11, No. 6, pp. 261-270, 2018.
  9. (2019) Adna Sento, “Image Recognition using Deep Belief Network with the Raspberry Pi, 5th Thai-Nichi Institute of Technology: Academic Conference, Bangkok, 2019.
  10. (2022) Adna Sento, Sivapong Nilwong, Watcharin Noothong, Titichaya Thanamitsomboon, Yuttana Kitjaidure. “Automatic Defect Detection System Using Deep Learning” The 8th TNIAC, 2022.
  11. (2022) Paing, May P., Adna Sento, Toan H. Bui, and Chuchart Pintavirooj. 2022. "Instance Segmentation of Multiple Myeloma Cells Using Deep-Wise Data Augmentation and Mask R-CNN" Entropy 24, no. 1: 134.
  12. (2022) Phasook Phattarasooksirot, Adna Sento. “Automatic Facial Expression Detection System Using Deep Learning” The 8th TNIAC, 2022.
  13. (2022) Phasook Phattarasooksirot, Adna Sento. “Facial Emotional Expression Recognition Using Hybrid Deep Learning Algorithm” The 7th ICBIR, 2022.
  14. (2023) Kaninard Pongsaksri, Adna Sento. “Sentiment Classification from Text Comments using a hybrid CNN-LSTM” The 9th TNIAC, 2023.
  15. (2024) Onchira Singkhajonworakul, Adna Sento. “A Real-Time Low-Cost Chicken Egg Sizing Measurement System by Using Raspberry Pi”, The 10th TNIAC, Bangkok, 2024.
  16. (2024) Phannisa Vanich, Adna Sento. “Rice Leaf Diseases Detection by Deep Learning”, The 10th TNIAC, 2024.
  17. (2025) Jirayus Boonsuk, Adna Sento. “Smoke Detection System For Prohibited Smoking Areas Using Hybrid Deep Learning” The TNIAC, 2025. (Accepted, In Press)
  18. (2025) Paswit Moonkan, Adna Sento. “Diagnosis of Lung Pneumonia from X-Ray Film by Deep Learning” The ICBIR, 2025. (Accepted, In Press)

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เบอร์โทรติดต่อ : 02-763-2600 ต่อ 2932, 08-9990-5691
อีเมล์ : adna@tni.ac.th
ห้องทำงาน : ห้อง C-304 ชั้น 3 อาคาร C คณะวิศวกรรมศาสตร์