Dr Somyot Kaitwanidvilai
Department of Electrical Engineering
Associate professor
Contact details
somyot.ka@kmitl.ac.th
Address
Department of Electrical Engineering
School of Engineering
King Mongkut’s Institute of Technology Ladkrabang
1 Chalongkrung Rd. Ladkrabang
Bangkok 10520
Thailand
Somyot Kaitwanidvilai received his Ph.D. in Mechatronics Engineering from the Asian Institute of Technology (AIT) in 2005. He is currently a professor in the Department of Electrical Engineering at King Mongkut’s Institute of Technology Ladkrabang (KMITL). Dr. Somyot’s research expertise spans artificial intelligence, robotics technology, next generation communication systems, and smart manufacturing. His extensive contributions to engineering and education include serving on the Advisory Board of the Thailand IoT Association and holding positions on multiple committee boards in various academic and professional societies. His research has made a significant impact in the fields of control systems, power electronics, and intelligent manufacturing. He has authored numerous high-impact papers, including works on fuzzy logic control for photovoltaic systems, robust control of pneumatic servo systems, and optimization techniques for power and industrial applications.
Qualifications
- Ph.D. in Mehcatronics Engineering, Asian Institute of Technology, Thailand, 2005.
- M.Eng in Electrical Engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand.
- B.Eng in Electrical Engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand.
Biography
Somyot Kaitwanidvilai received his Ph.D. in Mechatronics Engineering from the Asian Institute of Technology (AIT) in 2005. He is currently a professor in the Department of Electrical Engineering at King Mongkut’s Institute of Technology Ladkrabang (KMITL). Dr. Somyot’s research expertise spans artificial intelligence, robotics technology, next generation communication systems, and smart manufacturing. His extensive contributions to engineering and education include serving on the Advisory Board of the Thailand IoT Association and holding positions on multiple committee boards in various academic and professional societies. His research has made a significant impact in the fields of control systems, power electronics, and intelligent manufacturing. He has authored numerous high-impact papers, including works on fuzzy logic control for photovoltaic systems, robust control of pneumatic servo systems, and optimization techniques for power and industrial applications.
Teaching
- Control Systems
- Intelligent Control
- Differential Equation and Linear Algebra
- Introduction to Robotics and AI
Postgraduate supervision
- Power Electronics
- Manufacturing
- Control System
- Artificial Intelligence (AI)
Research fields
- Control Systems
- Power Electronics
- Intelligent Manufacturing
Publications
Recent Publications
C. Punyammaree and S. Kaitwanidvilai, “PSO-Optimized Deep Learning for Ultra-Precise Corrosion Detection on HDD Read/Write Heads,” IEEE Access, 2025 (Accepted).
S. Kaitwanidvilai, C. Sittisombut, Y. Huang, and S. Bom, “Optimizing Product Quality Prediction in Smart Manufacturing Through Parameter Transfer Learning: A Case Study in Hard Disk Drive Manufacturing,” Processes, vol. 13, no. 4, pp. 962, 2025.
S. Yanyong and S. Kaitwanidvilai, “Experimental realization of PSO-based hybrid adaptive sliding mode control for force impedance control systems,” Results Control Optim., vol. 19, pp. 100548, 2025.
M. Songthai, S. Yanyong, P. Konghuayrob, P. Saengmanee, and S. Kaitwanidvilai, “Smart Police Systems: Enhancing Urban Safety Through AI-Powered Surveillance and Edge Computing,” Preprints, 2025.
N. Rungtalay and S. Kaitwanidvilai, “Dual-stage Classification Framework for Detecting Rare or Unseen Patterns Based on Novelty Detection and Supervised Learning,” Sensors & Materials, vol. 36, 2024.
S. Yanyong and S. Kaitwanidvilai, “A Novel Robust Adaptive Control for PMDC Servo Motor Incorporating Recursive Least Square and Particle Swarm Optimization,” in Lect. Notes Eng. Comput. Sci.: Proc. Int. MultiConf. Eng. Comput. Sci., 2023, pp. 5–7.
S. Yanyong, P. Konghuayrob, P. Chaisiri, and S. Kaitwanidvilai, “Energy Prediction of Cleanroom-type Differential Drive Mobile Robot Based on Recurrent Neural Network,” Sensors & Materials, vol. 35, 2023.
S. Yanyong, R. Parichatprecha, P. Chaisiri, S. Kaitwanidvilai, and P. Konghuayrob, “Sensor Fusion of Light Detection and Ranging and iBeacon to Enhance Accuracy of Autonomous Mobile Robot in Hard Disk Drive Clean Room Production Line,” Sensors & Materials, vol. 35, 2023.
J. S. A. V. Gokaraju, W. K. Song, M.-H. Ka, and S. Kaitwanidvilai, “Human and bird detection and classification based on Doppler radar spectrograms and vision images using convolutional neural networks,” Int. J. Adv. Robot. Syst., vol. 18, no. 3, pp. 17298814211010569, 2021.
S. Kaitwanidvilai, N. Phurahong, and W. Suwan-ngam, “Implementation and Optimization of Two Degree of Freedom H∞ Loop Shaping Control for Average Current Mode Control Buck Converter using Genetic Algorithm,” Sensors & Materials, vol. 33, 2021.
N. Chaiduangsri, S. Kaitwanidvilai, and D. Tongsomporn, “Influence of recorded pattern on background interference impact in magnetic recording,” J. Phys.: Conf. Ser., vol. 1996, no. 1, pp. 012009, 2021.
S. Kaitwanidvilai, N. Chaiduangsri, and D. Tongsomporn, “Experimental study of media heat sink thickness impact on signal-to-noise ratio in heat-assisted magnetic recording,” Jpn. J. Appl. Phys., vol. 59, no. SE, pp. SEEC02, 2020.
S. Kaitwanidvilai, V. Chanarungruengkij, and P. Konghuayrob, “Remote Sensing to Minimize Energy Consumption of Six-axis Robot Arm Using Particle Swarm Optimization and Artificial Neural Network to Control Changes in Real Time,” Sensors & Materials, vol. 32, 2020.
S. Kaitwanidvilai, S. Buthgate, P. Konghuayrob et al., “Robot Arm Structure Design Using Polyamide Evaluated by Finite Element Analysis,” Sensors & Materials, vol. 32, 2020.
P. Konghuayrob, S. Kaitwanidvilai, and H. Aoyama, “Hybrid adaptive notch filter and fixed-structure PID H-infinity robust loop shaping control based PSO for hard disk drive servo actuator,” 革新的コンピューティング・情報・制御に関する国際誌, vol. 15, no. 01, pp. 1, 2019.
R. Praserttaweelap, S. Kaitwanidvilai, and H. Aoyama, “Safety path planning with obstacle avoidance using particle swarm optimization for AGV in manufacturing layout,” Int. J. Innovative Comput., Inf. Control, vol. 15, no. 1, pp. 351–368, 2019.
S. Kaitwanidvilai, U. Seeboonruang, H. Aoyama, and K. Emrith, “Computational Intelligence and Neuroscience in Neurorobotics,” Comput. Intell. Neurosci., vol. 2019, pp. 6506802, 2019.
S. Kaitwanidvilai, N. Chaiduangsri, and D. Tongsomporn, “Impact of background interference on signal-to-noise ratio in heat-assisted magnetic recording,” IEEE Magn. Lett., vol. 9, pp. 1–4, 2018.
S. Buthgate and S. Kaitwanidvilai, “Development of a new base of robot arm using finite element analysis,” in Proc. 2018 Int. Electr. Eng. Congr. (iEECON), 2018, pp. 1–4.
H. Sison, P. Konghuayrob, and S. Kaitwanidvilai, “A convolutional neural network for segmentation of background texture and defect on copper clad lamination surface,” in Proc. 2018 Int. Conf. Eng., Appl. Sci. Technol. (ICEAST), 2018, pp. 1–4.
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