Thaweesak Trongtirakul

THAWEESAK TRONGTIRAKUL

Thaweesak Trongtirakul, D. Eng., an Assistant Professor of Electrical Power Engineering at the Faculty of Industrial Education, Rajamangala University of Technology Phra Nakhon (RMUTP), holds a Doctorate in Electronics and Telecommunication Engineering. Before joining RMUTP, Dr. Trongtirakul served as a visiting scientist at the College of Staten Island and the Graduate Center, City University of New York (CUNY). He earned his M.Eng. in Instrumentation Engineering from King Mongkut's Institute of Technology Ladkrabang in May 2011 and his D.Eng. in Electrical and Information Engineering from King Mongkut's University of Technology Thonburi in July 2020.

Research Interests: Dr. Trongtirakul’s interdisciplinary research spans industrial mathematics, engineering, applied signal/image/video processing, data analytics, and industrial applications. His primary interests include Image Analytics, Computational and Machine Vision, Remote Sensing, Image Visualization Systems, and Algorithm Development. He has a special focus on programming and designing visual content analysis systems for texture, text, object detection, and other image-based content. Additionally, he works on developing scientific systems and architectures in electrical and electronic engineering, with an emphasis on advanced digital data processing, information sciences, and systems technologies in military, medical, and industrial information processing.

Collaborations: Dr. Trongtirakul together with Distinguished Prof. Dr. Agaian's Research Team have been developing mathematical models for practical imaging applications in Healthcare, Signal Processing, 3D Imaging Visible and Thermal Sensing, Computational Algorithms, Needs-Driven Medical and Biomedical Technology, and Other Related Fields.

Degrees

Doctor of Engineering in Electrical and Information Engineering, King's Mongkut's University of Technology Thonburi (KMUTT)
Master of Engineering in Instrumentation Engineering, King's Mongkut's Inistitute of Technology Lad Krabang (KMITL)
Bachelor of Engineering in Electrical Power Engineering (Honor Degree), Rajamangala University of Technology Phra Nakhon (RMUTP), Thailand

Contact Information

Office : Faculty of Industrial Education, Room 503

Phone : +662-665-3777; Ext. 7131

+662-665-3888; Ext. 7131

Fax : +662-628-5205

Team: thaweesak.tr@outlook.co.th

Contact Via Email

Address: Faculty of Industrial Education, Dept. of Electrical Engineering

399 Samsen Rd., Wachira Phayaban, Dusit, Bangkok, Thailand, 10300

Books

International Patents

K. Panetta, S. S. Agaian, and T. Trongtirakul, "METHOD AND APPARATUS FOR IMAGE PROCESSING," United State of America Patent Appl. 18/568,992, 2024.
K. Panetta, S. S. Agaian, and T. Trongtirakul, "METHOD AND APPARATUS FOR IMAGE PROCESSING," International Patent Appl. PCT/US2022/033276, 2022.

Journal Papers

S. Hovhannisyan, T. Trongtirakul, and S. S. Agaian, "Unified Thermal Image Enhancement for Object Detection and Visual Clarity,” International Journal of Advances in Engineering and Management (IJAEM), vol. 7, no. 5, pp. 471-482, 25 May 2025.
T. Trongtirakul, K. Panetta, A. M. Grigoryan, and S. S. Agaian, " A Novel Entropy-Based Approach for Thermal Image Segmentation Using Multilevel Thresholding,” Entropy, vol. 27, no. 5, pp. 1-29, May 2025.
S. Agaian, H. Ayunts, T. Trongtirakul, and S. Hovhannisyan, "A New Method for Judging Thermal Image Quality with Applications," Signal Processing, vol. 229, pp. 109769, April 2025.
A. Oulefki, T. Trongtirakul, S. Agaian, et al., "Multi-View VR Imaging for Enhanced Analysis of Dust Accumulation on Solar Panels," Solar Energy, vol. 279, pp. 112708, September 2024.
S. Parakul, and T. Trongtirakul, "Performance Analysis of Air Conditioning Compressor Using Thermal Imaging when Capacitor Degrades," Journal of Energy and Environment Technology of Graduate School Siam Technology College, vol. 11, no. 1, pp. 78-87, 28 June 2024.
A. Oulefki, Y. Himeur, T. Trongtirakul et al., "Detection and Analysis of Deteriorated Areas in Solar PV Modules using Unsupervised Sensing Algorithms and 3D Augmented Reality," Heliyon, vol. 9, pp. e27973, March 2024.
T. Trongtirakul, S. Agaian, and S. Wu, “Adaptive Single Low-Light Image Enhancement by Fractional Stretching in Logarithmic Domain,” IEEE Access, vol. 11, pp. 143936-143947, 18 December 2023.
T. Trongtirakul, S. Agaian, and A, Oulefki, “Accurate Tumor Segmentation in Thermograms Breast Images,” Mathematical Biosciences and Engineering, vol. 20, no. 9, pp. 16786-16806, August 2023.
T. Trongtirakul, S. Agaian, A, Oulefki, and K. Panetta, “Method for remote sensing oil spill applications over thermal and polarimetric imagery,” IEEE Journal of Oceanic Engineering, vol. 48, no. 3, pp. 973-987, July 2023.
S. Parakul, K. Jaitong, P. Songsri, and T. Trongtirakul, “Determination of motor efficiency in air condensing unit using thermal image analytics in case the degradation of capacitance,” Journal of Energy and Environment Technology of Graduate School Siam Technology College, vol. 9, no. 2, pp. 50-61, 13 December 2022.
T. Trongtirakul, and S. Agaian, "Unsupervised and Optimized Thermal Image Quality Enhancement and Visual Surveillance Application," Signal Processing: Image Communication, pp. 116714, 20 April 2022, doi: 10.1016/j.image.2022.116714.
T. Trongtirakul, and S. Agaian, "Weighted Histogram Equalization Using Entropy of Probability Density Function," Thailand Electrical Engineering Journal, vol. 2, no.1 pp. 10-13.
A. Oulefki, S. Agaian, T. Trongtirakul, S. Benbelkacem, D. Aouam, N. Z. Henda, and M. L. Abdelli, "Virtual Reality Visualization for Computerized COVID-19 Lesion Segmentation and Interpretation," Biomedical Signal Processing and Control, vol. 73, pp. 103371, March 2022.
S. Benbelkacem, A. Oulefki, S. Agaian, N. Zenati-Henda, T. Trongtirakul, D. Aouam, M. Masmoudi, and M. Zemmouri, "COVI3D Automatic COVID-19 CT Image-Based Classification and Visualization Platform Utilizing Virtual and Augmented Reality Technologies," Diagnostics, vol. 12, no. 3, 649, March 2022, doi: 10.3390/diagnostics12030649.
A. Oulefki, S. Agaian, T. Trongtirakul, and A. K. Laouar, “Automatic COVID-19 Lung Infected Region Segmentation and Measurement Using CT-Scans Images,” Pattern Recognition, vol. 114, pp. 1-13, June 2021. (Most Cited Articles)
T. Trongtirakul, W. Chiracharit, and S. Agaian, "Single Backlit Image Enhancement," IEEE Access, vol. 8, no. 1, pp. 71940-71950, 13 April 2020.
T. Trongtirakul, W. Chiracharit, S. Imberman, and S. Agaian, "Fractional Contrast Stretching for Image Enhancement of Aerial and Satellite Images," Journal of Imaging Science and Technology, vol. 63, no. 6, pp. 60411-1-60411-11, 1 November 2019.

Conference Papers

T. Trongtirakul, S. Wu, and S. Agaian, "Adaptive Sigmoid-Based Low-light Image Enhancement", EENET 2025, pp. 361 – 364, 28-30 June 2025.
T. Trongtirakul, S. Wu, and S. Agaian, "Retinex-Based Low-Light Image Enhancement with Logarithmic Color Correction", Proc. SPIE 13457, Multimodal Image Exploitation and Learning 2024 , 134570K, 28 May 2024, doi: 10.1117/12.3053801.
A. Oulefki, A. Amira, F. Kurugollu, T. Trongtirakul, and S. Agaian, "Enhancing Intubation Accuracy: Advanced Tracheal Segmentation Techniques In Video Endoscopy," IEEE International Conference on Image Processing (ICIP) 2024, pp. 2833-2838, 27-30 October 2024.
T. Trongtirakul, S. S. Agaian, K. Djemal, A. A. Feiz, and S. Chaudhuri, "Unveiling Hidden Marine Debris: Unsupervised Enhancement of SAR Images Using Multilevel Enhancement (EME)," Proc. SPIE 13033, Multimodal Image Exploitation and Learning 2024, 130330C (8 June 2024); https://doi.org/10.1117/12.3023215.
T. Trongtirakul, S. S. Agaian, S. Wu, K. D., A. A. Feiz, and S. Chaudhuri, "Adaptive Logarithmic Retinex Enhancement for Iceberg Detection in Visible Imagery," Proc. SPIE 13033, Multimodal Image Exploitation and Learning 2024, 1303302 (7 June 2024); https://doi.org/10.1117/12.3012987.
T. Trongtirakul, and S. Agaian, "New Retinex model-based infrared image enhancement", Proc. SPIE 12526, Multimodal Image Exploitation and Learning 2023 , 1252606, 15 June 2023, doi: 10.1117/12.2661334.
T. Trongtirakul, and S. Agaian, "Transmission map optimization for single image dehazing", Proc. SPIE 12100, Multimodal Image Exploitation and Learning 2022, 121000C, 27 May 2022, doi: 10.1117/12.2621831.
T. Trongtirakul, K. Pusorn and U. Peerawanichkul, "Computer simulation-based learning: student self-efficacy during COVID-19 outbreak," 7th International STEM Education Conference (iSTEM-Ed), pp. 1-4, 2022.
T. Trongtirakul, and S. Agaian, "Adaptive inertia weight particle swarm algorithm for optimized hyperspectral image enhancement", Proc. SPIE 11734, Multimodal Image Exploitation and Learning 2021, 1173403, 12 April 2021.
S. Benbelkacem, A. Oulefki, S. Agaian, T. Trongtirakul, D. Aouam, N. Z. Henda, and K. Amara "Lung infection region quantification, recognition, and virtual reality rendering of CT scan of COVID-19", Proc. SPIE 11734, Multimodal Image Exploitation and Learning 2021, 117340I, 12 April 2021.
T. Trongtirakul, A. Oulefki, S. Agaian, and W. Chiracharit, "Enhancement and segmentation of breast thermograms," Proc. SPIE 11399, Mobile Multimedia/Image Processing, Security, and Applications 2020, 113990F, 21 April 2020.
A. Oulefki, T. Trongtirakul, S. Agaian, and W. Chiracharit, "Detection and visualization of oil spill using thermal images," Proc. SPIE 11399, Mobile Multimedia/Image Processing, Security, and Applications 2020, 113990L, 21 April 2020.
T. Trongtirakul, W. Chiracharit, and S. Agaian, "Color Restoration of Multispectral Images Near-Infrared (NIR) filter-to-Color (RGB) image," Proc. IS&T International Symposium on Electronic Imaging 2020, Image Processing: Algorithms and Systems XVIII, vol. 2020, pp. 180-1-180-5, 26 January 2020.
T. Trongtirakul, D. Ladyzhensky, W. Chiracharit, and S. Agaian, "Non-linear contrast stretching with optimizations," Proc. SPIE, Mobile Multimedia/Image Processing, Security, and Applications 2019, 1099303, 13 May 2019.
R. Rajendran, T. Trongtirakul, K. Panetta, and S. Agaian, "A pixel-based color transfer system to recolor nighttime imagery," Proc. SPIE 10993, Mobile Multimedia/Image Processing, Security, and Applications 2019, 109930N, 13 May 2019.
T. Trongtirakul, and N. Phanthuna, "Contrast Enhancement Using Bi-Histogram Equalization via 2-D Discrete Wavelet Transform", EENET 2014, vol.1, pp 873 – 876, Mar. 2014.
T. Trongtirakul, and N. Phanthuna, "Image Enhancement Using Weighted Bi-Histogram Equalization", WSEAS in System, Control, Signal Processing and Informatics, vol.1, pp 345 – 348, 2013.
F. Cheevasuvit, S. Chitwong, N. Phanthuna, and T. Trongtirakul., "Mean Brightness Preserving in Sub-Region Sharpening via Histogram Equalization", IEEE Conference on Machine Vision, Hong Kong, 2010.
N. Phanthuna et al., "Whiteness Detection of Industrial Plastic Pellets", ECTI Conference on Application Research and Development, 2010.
T. Trongtirakul, and N. Phanthuna, "Improvement Program for Heat Balance Analysis Fuel to Steam Efficiency", WSEAS Conference on Electronics, Hardware, Wireless, Optical Communications, vol. 2, no. 3, pp. 69 – 76, 2008.

Professional Activities

Program Committee, SPIE in Multimodal Image Exploitation and Learning 2026
Technical Program Committee, The 3rd Asia Conferences on Advances in Image Processing 2025 (AAIP2025)
Program Committee, SPIE in Multimodal Image Exploitation and Learning 2025
Program Committee, SPIE in Multimodal Image Exploitation and Learning 2024
Scientific Committee, The 1st International Conference on Electronics Engineering, Technology of Telecommunications Advanced Applications (2ETA 2023)
Scientific Committee, The 1st International Conference on Renewable Solutions for Ecosystems towards a Sustainable Energy Transition (ICRSEtoSET 2023)
Program Committee, SPIE in Multimodal Image Exploitation and Learning 2023
Program Committee, SPIE in Multimodal Image Exploitation and Learning 2022
Technical Program Co-Chairs, international STEM Education Conference (iSTEM-Ed)
Program Committee, The 44th Electrical Engineering Conference (EECON 44)

Grants

Project Title: Low-Light Image Enhancement Algorithm Based on Adaptive Multi-Scaled Retinex Theory

Funded by: The Coordinating Center for Thai Government Science and Technology Scholarship Students (CSTS), National Science and Technology Development

Agency (NSTDA), Ministry of Higher Education, Science, Research, and Innovation under grant no. JRA-CO-2565-17450-TH

Invited Keynote Speaker

Innovative Education 2024: Shaping the Future of Learning

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