GV TS Tăng Văn Hạ

Second slide

  • Chức vụ: Giáo viên
  • Đơn vị: Bộ môn Hệ thống thông tin
  • Học hàm: GV
  • Học vị: TS
  • Email: hatangvan@gmail.com

Thông tin cá nhân

CONTACT INFORMATION

Full name: Van Ha TANG

Faculty of Information Technology, Le Quy Don Technical University (LQDTU)

236 Hoang Quoc Viet Street,  Hanoi Vietnam

Position: Associate Professor

Email: hatangvan@gmail.com or hatv@lqdtu.edu.vn

EDUCATION AND TRAINING

Van Ha Tang received the B. Eng. and M. Eng. degrees in Information Technology from LQDTU in 2005 and 2008, respectively, and the Ph.D. degree in Computer Engineering in 2015 from the University of Wollongong (UOW), Australia.  He was a postdoctoral research associate at the School of Electrical, Computer and Telecommunications Engineering, UOW, Australia from 2015 to 2017. Dr. Tang is currently an associate professor at the Faculty of Information Technology, LQDTU.

RESEARCH INTERESTS

Radar imaging and statistical signal processing, Bayesian compressive sensing and probabilistic modeling, machine learning, and inverse problems in signal/image processing.

RESEARCH GRANTS

Vietnam National Foundation for Science and Technology Development (NAFOSTED) Project, "Enhanced through-wall radar imaging using Bayesian compressive sensing framework and advanced statistical learning techniques," (Principal/Chief Investigator), 2018-2020.

LQDTU Small Research Project, "Indoor target localization using through-wall radar imaging," (Sole Investigator), 2019 - 2020.

LQDTU Small Research Project, "Wall clutter mitigation for through-wall radar imaging using low-rank representations," (Sole Investigator), 2018 - 2019.

Australian Research Council (ARC) Project, "Through-wall radar imaging using Bayesian compressive sensing", (Research Associate), 2015 - 2017.

SELECTED PUBLICATIONS (ISI/SCOPUS LISTED PAPERS)

Refereed journal articles:

[24]. V. H. Tang, A. Bouzerdoum, S. L. Phung, "Variational Bayesian compressive multi-polarization indoor radar imaging," IEEE Transactions on Geoscience and Remote Sensing, Jan. 2021. (Q1IF = 5.855)

[23]. V. H. Tang, A. Bouzerdoum, S. L. Phung, "Compressive radar imaging of stationary indoor targets with low-rank plus jointly sparse and total variation regularizations," IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 4598–4613, Feb. 2020. (Q1IF = 9.34)

[22]. V. H. Tang, A. Bouzerdoum, S. L. Phung, "Multipolarization through-wall radar imaging using low-rank and jointly-sparse representations," IEEE Transactions on Image Processing, vol. 27, no. 4, pp. 1763–1776, April 2018 (Q1IF = 9.34)

[21]. V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, "A sparse Bayesian learning approach for through-wall radar imaging of stationary targets," IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 5, pp. 2485–2501, Oct. 2017. (Q1IF = 3.672)

[20]. V. H. Tang, A. Bouzerdoum and S. L. Phung, "Two-stage through-the-wall radar image formation using compressive sensing", SPIE Journal of Electronic Imaging, vol. 22, no. 2, pp. 021006.1–021006.10, April – June 2013. (Q2IF = 2.423)

Refereed domestic journal articles:

[19] V. H. Tang, V-G. Nguyen, "A rank-deficient and sparse penalized optimization model for compressive indoor radar target localization," REV Journal on Electronics and Communications, vol. 10, no. 1–2, pp. 1–10, January 2020.

Book chapters:

[18]. V. H. Tang and M. U. Nguyen, “Depth image reconstruction using low rank and total variation representations”, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pp. 181–194, Springer, 2020.

[17]. X. Tang, A. Bouzerdoum, S. L. Phung, and V. H. Tang, " Pooling-based feature extraction and coarse-to-fine patch matching for optical flow estimation," Lecture Notes in Computer Science, LNCS 11364 (editors: C. V. Jawahar et al.), pp. 597–612, Springer Nature Switzerland AG, 2019.

Refereed conference papers:

[16]. V. H. Tang, A. Bouzerdoum, S. L. Phung, "A variational Bayesian approach for multichannel through-wall radar imaging with low-rank and sparse priors," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2523–2527, Barcelona, Spain, May 2020.

[15]. V-G. Nguyen and V. H. Tang, “Autofocusing panoramic radiographic image by all-in-focus fusion”, Proc. IEEE International Conference on Computing and Communication Technologies (RIVF), 2020.

[14]. V. H. Tang, A. Bouzerdoum, S. L. Phung, "Radar stationary and moving indoor target localization with low-rank and sparse regularizations," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2172–2176, Brighton, UK, May 2019.

[13]. V. H. Tang, V-G. Nguyen, "A rank-deficient and sparse penalized optimization model for compressive indoor radar imaging," Proc. International Conference on Recent Advances in  Signal Processing, Telecommunications & Computing,  pp. 48–52, Hanoi, Vietnam, March 2019.

[12]. M. U. Nguyen, T. T. Dao, V. H. Tang, "Efficient depth image reconstruction using accelerated proximal gradient method," Proc. International Conference on Knowledge and Systems Engineering, pp. 1–6, HCM City, Vietnam, Nov. 2018. 

[11]. V. H. Tang, A. Bouzerdoum, S. L. Phung, "A matrix completion approach for  wall-clutter mitigation in compressive radar imaging of indoor targets," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1608–1612, Alberta, Canada, April 2018.

[10]. V. H. Tang, A. Bouzerdoum, S. L. Phung "Wall clutter mitigation for radar imaging of indoor targets: A matrix completion approach," The 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems, pp. 116–121, Hanoi, Vietnam, Nov. 2017. 
 
[9]. A. Bouzerdoum, V. H. Tang, and S. L. Phung, " A low-rank and jointly-sparse approach for multipolarization through-wall radar imaging," IEEE Radar Conference, pp. 263–268, Seattle, WA, USA, May 2017.

[8]. V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, "Radar imaging of stationary indoor targets using joint low-rank and sparsity constraints," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1412–1416, Shanghai, China, March 2016. (Best paper award of image, video & multidimensional signal processing).

[7]. V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, "Indoor scene reconstruction for through-the-wall radar imaging using low-rank and sparsity constraints," Proc. IEEE Radar Conference, pp. 1–4, Philadelphia, PA, USA, May 2016.

[6]. V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, "Multi-view indoor scene reconstruction from compressed through-wall radar measurements using a joint Bayesian sparse representation," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2419–2423, Brisbane, Australia, April 2015.

[5]. V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, "Multi-view TWRI scene reconstruction using a joint Bayesian sparse approximation model," Proc. SPIE Defence, Security and Sensing: Compressive Sensing, pp. 948405.1–948405.10, Maryland, USA, May 2015.

[4]. V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, "Enhanced wall clutter mitigation for through-the-wall radar imaging using joint Bayesian sparse signal recovery," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 7804–7808, Florence, Italy, May 2014.

[3]. F. H. C. Tivive,  A. Bouzerdoum, and V. H. Tang, "Multi-stage compressed sensing and wall clutter mitigation for through-the-wall radar image formation", Proc. IEEE Sensor Array and Multichannel Signal Processing, pp. 489–492, Coruna, Spain, June 2014.

[2]. A. Bouzerdoum, F. H. C. Tivive, and V. H. Tang, "Multi-polarization through-the-wall radar imaging using joint Bayesian compressed sensing", Proc. IEEE International Conference on Digital Signal Processing, pp. 783–788, Hong Kong, August 2014.

[1]. V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, "Enhanced through-the-wall radar imaging using Bayesian compressive sensing," Proc. SPIE Defence, Security and Sensing: Compressive Sensing, pp. 87170I.1–87170I.12, Maryland , USA, May 2013.

Giảng dạy


STT Mã môn Tên môn Học kỳ Năm học
1  12525151 1 Kĩ thuật lập trình 1 2017 - 2018
2 12525151 2 Kĩ thuật lập trình 1 2017 - 2018
3 12525151 6 Kĩ thuật lập trình 1 2017 - 2018
4 VB2K20 XỬ LÝ ẢNH 1 2017 - 2018

Xuất bản


Sách, tài liệu tham khảo

Tạp chí, báo cáo hội nghị

1. , V. H. Tang, A. Bouzerdoum and S. L. Phung, Radar stationary and moving indoor target localization with low-rank and sparse regularizations , EEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pp 2172–2176, 01/05/2019, [ link]
2. , V. H. Tang and V-G. Nguyen, A rank-deficient and sparse penalized optimization model for compressive indoor radar imaging , International Conference on Recent Advances in Signal Processing, Telecommunications & Computing , pp 48–52, 01/04/2019, [ link]
3. , X. Tang, A. Bouzerdoum, S. L. Phung and V. H. Tang, Pooling-based feature extraction and coarse-to-fine patch matching for optical flow estimation , Lecture Notes in Computer Science, Springer Nature Switzerland AG , pp 597–612, 01/02/2019, [ link]
4. , M. U. Nguyen, T. T. Dao and V. H. Tang, Efficient depth image reconstruction using accelerated proximal gradient method , International Conference on Knowledge and Systems Engineering , pp 1–6, 01/12/2018, [ link]
5. , Mau Uyen Nguyen, Thanh Tinh Dao and Van Ha Tang, Efficient depth image reconstruction using accelerated proximal gradient method , Proc. The 10th International Conference on Knowledge and Systems Engineering, HCM City, Vietnam, Nov. 2018 , pp 1-6, 12/2018, [ link]
6. , V. H. Tang, A. Bouzerdoum and S. L. Phung, A matrix completion approach for wall-clutter mitigation in compressive radar imaging of indoor targets , IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pp 1608–1612, 01/09/2018, [ link]
7. , V. H. Tang, A. Bouzerdoum and S. L. Phung, Multipolarization through-wall radar imaging using low-rank and jointly-sparse representations , IEEE Transactions on Image Processing , pp 1763-1776, 02/04/2018, [ link]
8. , V. H. Tang, A. Bouzerdoum and S. L. Phung, Wall clutter mitigation for radar imaging of indoor targets: A matrix completion approach , The 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems , pp 116-121, 01/01/2018, [ link]
9. , V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, A sparse Bayesian learning approach for through-wall radar imaging of stationary targets , IEEE Transactions on Aerospace and Electronic Systems , pp , 02/10/2017, [ link]
10. , A. Bouzerdoum, V. H. Tang, and S. L. Phung, A low-rank and jointly-sparse approach for multipolarization through-wall radar imaging , IEEE Radar Conference , pp 263–268, Seattle, WA, USA, May 2017, 08/05/2017, [ link]
11. , V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C, Indoor scene reconstruction for through-the-wall radar imaging using low-rank and sparsity constraints , IEEE Radar Conference , pp 1–4, Philadelphia, PA, USA, May 2016, 21/05/2016, [ link]
12. , V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, Radar imaging of stationary indoor targets using joint low-rank and sparsity constraints , , pp 1412–1416, Shanghai, China, March 2016, 19/03/2016, [ link]
13. , V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, Multi-view TWRI scene reconstruction using a joint Bayesian sparse approximation model , Proc. SPIE Defence, Security and Sensing: Compressive Sensing, Maryland, USA, May 2015 , pp 948405.1–948405.10, 15/07/2015, [ link]
14. , V. H. Tang, A. Bouzerdoum, S. L. Phung, and F. H. C. Tivive, Multi-view indoor scene reconstruction from compressed through-wall radar measurements using a joint Bayesian sparse representation , IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pp 2419–2423, Brisbane, Australia, April 2015, 19/04/2015, [ link]
15. , A. Bouzerdoum, F. H. C. Tivive, and V. H. Tang, Multi-polarization through-the-wall radar imaging using joint Bayesian compressed sensing, Multi-Polarization Through-the-Wall Radar Imaging using Joint Bayesian Compressed Sensing , IEEE International Conference on Digital Signal Processing , pp 783-788, August, 2014, Hong Kong, 15/08/2014, [ link]
16. , F. H. C. Tivive, V. H. Tang, A. Bouzerdoum, Multi-stage compressed sensing and wall clutter mitigation for through-the-wall radar image formation , Proc. IEEE sensor array and multichannel signal processing, pp. 489-492, Coruna, Spain, June 2014 , pp , , [ link]
17. , V. H. Tang, A. Bouzerdoum, S. L. Phung, F. H. C. Tivive, Enhanced wall clutter mitigation for compressed through-the-wall radar imaging using joint Bayesian sparse signal recovery , Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 7804-7808, Florence, Italy , May 2014 , pp , , [ link]
18. , V. H. Tang, A. Bouzerdoum, S. L. Phung, F. H. C. Tivive, Enhanced through-the-wall radar imaging using Bayesian compressive sensing , Proc. SPIE Defence, Security and Sensing: Compressive Sensing, pp. 87170I-1--87170I-12, Maryland , USA, May 2013 , pp , , [ link]
19. , V. H. Tang, A. Bouzerdoum and S. L. Phung, Two-stage through-the-wall radar image formation using compressive sensing , SPIE Journal of Electronic Imaging, vol. 22, no. 2, pp. 021006-1--021006-10, 2013, doi: 10.1117/1.JEI.22.2.021006 (ISI journal) , pp , , [ link]
20. , V. H. Tang, A string-matching based structure for early detection of cyber attacks , University Workshop on sciences and techniques , Le Quy Don Technical University, Ha Noi, May 2008 , pp , 01/08/2008, [ link]
21. , V. H. Tang, Giang Nguyen Van, Tinh Dao Thanh, The packet filtering and applications , Journal of Science and Technology, Le Qui Don Technical University, Hanoi, ISSN 1859-0209, Vol. 1, No. 122, 2008 , pp , 12/04/2007, [ link]
22. , Van Ha Tang, Tinh Dao Thanh and Giang Nguyen Van, Kernel packet filtering and incoming-outgoing stream controlling , ITMAT Workshop on Information Technology and Mathematics, pages 328-336, Le Quy Don Technical University, Ha Noi, October 10-14 , 2006 , pp , , [ link]
23. , Tinh Dao Thanh, Van Ha Tang and Giang Nguyen Van, Internet-attacked techniques and network operation controlling , ITMAT Workshop on Information Technology and Mathematics, pages 336-342, Le Quy Don Technical University, Ha Noi, October 10-14 , 2006 , pp , , [ link]
24. , Tinh Dao Thanh, Uyen Nguyen Mau, Giang Nguyen Van và Ha Tang Van, A novel method for analysis and detection of internet worms , ITMAT Workshop on Information Technology and Mathematics, Le Quy Don Technical University , pp 320-328, 10/2006, [ link]
25. , V. H. Tang, Uyen Nguyen Mau, Nguyen Van Giang và Tinh Dao Thanh, A new model for internet worm detection , Journal of Millitary Science and Technology , pp , 4/2006, [ link]

Đề tài


STT Tên đề tài Cấp Chủ nhiệm Thành viên Thời gian T.Thái
1 Enhanced through-wall radar imaging using Bayesian compressive sensing framework and advanced statistical learning techniques Nhà nước V. H. Tang V. G. Nguyen; L. T. Ngo; M. U. Nguyen 8/2018
2 Wall clutter mitigation for through-wall radar imaging using low-rank representations Trường V. H. Tang 11/2017

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