Quan Do


Worktitle

Postdoctoral Research Fellow

Virgečilgehus

     Quan Do was born in Hanoi, the capital of Vietnam. After graduating from the Hanoi University of Science and Technology (HUST), he worked in speech and image processing, speed and pattern recognition for the Vietnam Research Institute of Electronics, Informatics, and Automation for around three years.
     He had six years studying Master and Ph.D. at the Korea Advanced Institute of Science and Technology (KAIST) and the Gwangju Institute of Science and Technology (GIST) in Korea for image and video processing, mammography, pattern recognition, machine learning, H.264/AVC, and image and video coding. Then, he worked for Vieworks Co. Ltd. and DRTECH Corporation in Korea for nine years for medical image and video processing, pattern recognition, machine learning, and a couple of applications for digital X-ray flat-panel detectors, i.e., radiography, fluoroscopy, mammography, cardiac angiography, and non-destructive testing. Moreover, his algorithms and coding programs have been applied to the companies' products, which have returned millions of dollars per month for sale.
     He is now working for UiT The Arctic University of Norway in Tromsø, about high-performance computing, parallel programming, and super-resolution biomedical microscopic image and video on single-machine (state-of-art desktop computers or Linux-based servers) and multi-machines (clusters of computers).


  • Do, Quan; Acuña Maldonado, Sebastian Andres; Kristiansen, Jon Ivar; Agarwal, Krishna; Ha, Hoai Phuong. Highly Efficient and Scalable Framework for High-Speed Super-Resolution Microscopy. IEEE Access 2021; Volum 9. ISSN 2169-3536.s 97053 - 97067.s doi: 10.1109/ACCESS.2021.3094840.
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Publications outside Cristin

I. Peer-reviewed Journal Articles

1. Do Quan and Yo-Sung Ho , “Optimized median lifting scheme for lossy image compression,” IEICE Transactions on Information and Systems , vol. E94-D, ISSN: 0916-8532, no. 3, pp. 721-724, Mar. 2011. DOI:  dx.doi.org/10.1587/transinf.E94.D.721

2. Do Quan and Yo-Sung Ho , “Categorization for fast intra-prediction mode decision in H.264 / AVC,” IEEE Transactions on Consumer Electronics , vol. 56, issue 2, ISSN: 0098-3063, pp. 1049-1056, May 2010. DOI: dx.doi.org/10.1109/TCE.2010.5506038

3.  Do Quan and Yo-Sung Ho , “An effective approach for wavelet lifting based on filter optimization and median operator,”  International Journal of Imaging System and Technology , vol. 20, issue 4, ISSN: 0899-9457, pp. 359-366, Nov. 2010. DOI: dx.doi.org/10.1002/ima.20255

4.  Do Quan and Yo-Sung Ho, “Interpolation scheme using simple multi-directional filters for fractional-pel motion compensation,”  IEEE Transactions on Consumer Electronics, vol. 56, issue 4, ISSN: 0098-3063, pp. 2711-2718, Nov. 2010. DOI: dx.doi.org/10.1109/TCE.2010.5681160

5.  Do Quan and Yo-Sung Ho, “Fast intra-prediction mode decision for H.264 / AVC,”  IEICE Transactions on Information and Systems, vol. E93-D, no. 7, ISSN: 0916-8532, pp. 2012-2015, July 2010. DOI:  dx.doi.org/10.1587/transinf.E93.D.2012

6.  Do Quan and Yo-Sung Ho, “Median lifting optimization for lossy edge-dominant image compression,”  IEIE Transactions on Smart Processing and Computing, Vol. 1, ISSN: 2287-5255, pp. 1-10, Feb. 2013. CrossRef

 

II. Peer-reviewed Conference Papers

1.  Do Quan and Yo-Sung Ho, “Interpolation scheme for fractional-pel motion compensation using multi-directional filters,” The International Workshop on Advanced Image Technology (IWAIT), pp. O.III.4.2 (1-6), Jan. 2011. pdf

2.  Do Quan and Yo-Sung Ho, “Qualitative DC mode conditions for fast intra-prediction mode decision in H.264 / AVC,” The 2010 IEEE-RIVF International Conference on Computing and Telecommunication Technologies (IEEE-RIVF'10), pp. 320-325, Nov . 2010. DOI: dx.doi.org/10.1109/RIVF.2010.5633084

3.  Do Quan and Yo-Sung Ho, “Efficient wavelet lifting scheme based on filter optimization and median operator,” The 2009 IEEE-RIVF International Conference on Computing and Telecommunication Technologies (IEEE-RIVF'09), pp. 284-289, July 2009. DOI: dx.doi.org/10.1109/RIVF.2009.5174636

4.  Do Quan and Yo-Sung Ho, “Image quality optimization based on wavelet filter design and wavelet decomposition in JPEG2000,” The International Workshop on Advanced Image Technology (IWAIT), pp. 7-12, Jan. 2009. Google Scholar

5.  Do Quan and Yo-Sung Ho, “Median-lifting scheme for image coding in JPEG2000,” IEEK Fall General Conference, pp. 685-686, Nov. 2008. CrossRef

6.  Do Quan and Yo-Sung Ho, “Design of optimal wavelet filters based on lifting,” IEEK Joint Conference of Information and Communications, pp. 106-109, Dec. 2007. 

7.  Do Quan, Ho-Kyung Kang, Ju Won Kwon, Yong Man Ro, and Sung Min Kim, “A novel approach to mass detection based on measuring centroid distribution,” Proceedings of the Korean Signal Processing Conference (KSPC), pp. 1-4, Sept. 2006. 

8. Ju Won Kwon, Ho-Kyung Kang, Do Quan, Yong Man Ro, and Sung Min Kim, “An SVM development for micro-calcification detection,” Proceedings of the Korean Signal Processing Conference (KSPC), pp. 1-4, Sept. 2006. 

9. Nguyen The Truyen and Do Quan, “A method for signal denoising using wavelet transform,” The Fifth Vietnam Conference on Automation (VICA5), pp. 402-407, Oct. 2002. 

10. Nguyen The Truyen, Le Manh Hung, Nguyen Duc Luong, Nguyen Cong Hieu, Do Quan, and Luyen Tuan Anh, “Measurement and alarm system for combustible gas in underground coal mine,” The Fifth Vietnam Conference on Automation (VICA5), pp. 296-301, Oct. 2002. 

 

III. Master Thesis

Do Quan, An Automatic Mass Detection in Digital Mammogram, Master Thesis, School of Engineering, Korea Advanced Institute of Science and Technology (KAIST), pp. 1-54, Dec. 2006. pdf

 

IV. Ph.D. Dissertation

Do Quan , Effective Image and Video Coding Systems Based on Edge Orientations , Ph.D. Dissertation, School of Information and Mechatronics, Gwangju Institute of Science and Technology (GIST), pp. 1-113, Dec. 2010. pdf


Dutkanberoštumit

  • Parallel programming, parallel and distributed computing systems.
  • Medical / biomedical image and fluoroscopy / nanoscopy / video processing.
  • Image data analysis.
  • Pattern recognition and machine learning.
  • Computer / machine vision.
  • Biomedical engineering.

Member of research group


CV

     Quan Do received his Bachelor of Engineering (Summa Cum Laude), Master, and Ph.D. degrees in Electrical Engineering and Computer Science from Hanoi University of Science and Technology (HUST) in Vietnam in 2001, Korea Advanced Institute of Science and Technology (KAIST) in Korea in 2007, and Gwangju Institute of Science and Technology (GIST) in Korea in 2011, respectively. He is currently a Postdoctoral Research Fellow in the Department of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway.

     From 2001 to 2004, he was with the Vietnam Research Institute of Electronics, Informatics, and Automation in Vietnam (VIELINA), where he was involved in developing speech and image processing-based algorithms and software for industrial products. After his Ph.D. study in February 2011, he joined Vieworks Co. Ltd. in Korea as a Senior Researcher, and DRTECH Corporation in Korea as a Principal R&D Engineer, and was involved in the development of digital X-ray flat-panel static and dynamic detectors and their applications for radiography, fluoroscopy, mammography, cardiac angiography, and non-destructive testing. He loves development tasks and hands-on experience in research and development for universities, research institutes, and industrial products.

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