College of Science, Department of Statistics and Data Science

Personal Profile

Educational Background: PhD in Mathematics, The Chinese University of Hong Kong, 2018
Main Projects: Deep learning and sparse recovery approaches for medical imaging
                            3D space debris localization via rotating point spread function
Academic Achievements: Best Paper Award (CSIAM17), Best Poster Award (AoE17)
                                                Research Grant (HKRGC), Travel Grant (SIAM-IS18, IS20)
Publications in top journals/conferences: SIIMS, SISC, TSP, PMB, AMOS, etc. (as the 1st author/corresponding author)
Teaching Experience: Teaching in 6 different courses
Leadership: Organizing UCD AI & Biomedical Imaging Workshop
                       Student Chapter Representative (with SIAM Leadership at SIAM-AM17)
                       Awarded SIAM Student Chapter Certificate of Recognition

Research

Scientific Computing, Image Processing, Interdisciplinary Mathematical Modeling, Compressed Sensing, Convex and Nonconvex Optimization, Medical Imaging, Machine Learning, Numerical Linear Algebra


Publications Read More

[1] C. Wang, M. Tao, CN. Chuah, J. Nagy, and Y. Lou*. “Minimizing L1 over L2 norms on the gradient.” arXiv preprint arXiv:2101.00809, submitted to Inverse Problems.

[2] GB.Rehm, C. Wang, I.Cortes-Puch, CN.Chuah, J.Adams. “Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning? ”arXiv preprint arXiv:2109.12323

[3] Z. Lai*, C. Wang#, L. Oliveira, B. Dugger, SC. Cheung, CN. Chuah, “Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling,” Proceedings of the IEEE/CVF International Conference on Computer Vision, 591-600, 2021.

[4] Z. Lai, C. Wang, Z. Hu, B. Dugger, SC. Cheung, CN. Chuah*, “A semi-supervised learning for segmentation of gigapixel histopathology images from brain tissues”, accepted by International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

[5] C. Wang*, M. Tao, J. Nagy, and Y. Lou. “Limited-angle CT reconstruction via the L1/L2 minimization.” SIAM Journal on Imaging Sciences,. 14(2), 749–777,2021.

[6] C. Wang, Y. Gonzalez, C. Shen, B. Hrycushko, and X. Jia*. “Simultaneous Needle Catheter Selection and Dwell Time Optimization for Preplanning of HDR Brachytherapy of Prostate Cancer”, Physics in Medicine & Biology, (66), 055028, 2021.

[7] C. Wang, M. Yan, and Y. Lou*. “Accelerated schemes for the L1/L2 minimization.” IEEE Transaction on Signal Processing,68, 2660 – 2669, 2020.

[8] C. Wang, Y. Gonzalez, C. Shen, and X. Jia* “Simultaneous needle selection and dwell time optimization in prostate cancer high-dose-rate brachytherapy.” Medical Physics 47 (6), E367-E367, 2020.

[9] Y. Huang, Y. Zhong, C. Wang, Y. Gonzalez, C. Shen, and X. Jia*. “Comprehensive calibration and evaluation of a cone-beam CT on a pre-clinical small animal radiation research platform”, Medical Physics 47 (6), E731-E731, 2020.

[10] Y. Rahimi, C. Wang*, H. Dong, and Y. Lou. “A scale invariant approach for sparse signal recovery.” SIAM Journal on Scientific Computing, 41(6), A3649–A3672, 2019.

[11] C. Wang*, G. Ballad, R.J. Plemmons, and S. Prasad “Joint 3D localization and classification of space debris using a multispectral rotating point spread function.” Applied Optics, 58, 8598-8611, 2019.

[12] C. Wang*, R.H. Chan, M. Nikolova, R.J. Plemmons, and S. Prasad. “Non-convex optimization for 3-dimensional point source localization using a rotating point spread function.” SIAM Journal on Imaging Sciences, 12(1):259–286, 2019.

[13] C. Wang*, R.J. Plemmons, S. Prasad, R.H. Chan, and M. Nikolova. “Novel sparse recovery algorithms for 3D debris localization using rotating point spread function imagery.” In Proc. 2018 AMOS Technical Conference, Maui, HI. 2018.

[14] C. Wang*, R.H. Chan, R.J. Plemmons, and S. Prasad, “Point spread function engineering for 3D imaging using a continuous exact L0 penalty (CEL0) based algorithm.” International Workshop On Image Processing and Inverse Problems. 1-12, 2018.

[15] X. Fang, F. Lin, and C. Wang*. “Estimation of a regularization parameter for a robin inverse problem.” East Asian Journal on Applied Mathematics, 7(2) 325-342, 2017.

Lab members Read More

Join us

Opening for Ph.D. & Research Assistant  & Postdoctoral Research Fellow on Image Processing

 

Chao Wang, Ph.D., is an Assistant Professor at Department of Statistics and Data Science of Southern University of Science and Technology (SUSTech). Before joining SUSTech, Chao was a postdoctoral researcher at TETRAPODS Institute of Data Science, the University of California Davis. During 2018-2012, he worked at the University of Texas (UT) Dallas and UT Southwestern Medical Center. He completed his Ph.D. in Mathematics from The Chinese University of Hong Kong. PhD, His research interests include scientific computing, image processing, deep learning, interdisciplinary mathematical modeling, convex and nonconvex optimization. He has published papers in top tier journals like IEEE Trans. Signal Process, SIAM J. Sci. Comput. SIAM J. Imag. Sci., ICCV, etc.

 

Ph.D. Students: Dr. Chao Wang  interested in students who are willing to work hard on interdisciplinary problems in imaging, especially those related to deep learning and optimization applications.  If interested,  please send your CV to wangc6@sustech.edu.cn

 

The research team is seeking exceptional candidates for full time, academic research position as research assistant & postdoctoral research fellow. Salary is highly competitive based on performance. Candidates will work on topics related to deep learning, computer vision, optimization, computational imaging, and signal processing, etc. Our priority is to attract technically strong researchers who are interested in asking new questions with data and enthusiastic to work with imaging.

 

 Research Assistant

Research Areas: image processing, pattern recognition, computer vision, optimization or other interdisciplinary areas in relating fields.

Job Requirements:

  1. Candidates must hold or be about to obtain a Bachelor/Master degree in the above-mentioned research areas. 
  2. Good at or have interest in optimization or deep learning algorithms. A solid foundation in Python/MATLAB.
  3. Candidates with solid foundation and research experience in image processing, optimization and deep learning, etc. are preferred.
  4. Have good communication and presentation skills, and good leadership.

Benefits and Rewards:

  1. Monthly salary is about 5000-10000 CNY. Salary is highly competitive for talented candidates. Performance bonus is available to successful candidates.
  2. National holidays, paid annual leave and benefits from SUSTech including subsidy for meals, hot weather, festivals, free body check and other benefits required by the law.
  3. Good space for personal growth and development. If qualified, the candidates are recommended to apply for a PhD position at SUSTech with a higher priority.

 

 

Postdoctoral Research Fellow 

Research Areas: image processing, pattern recognition, computer vision, optimization or other interdisciplinary areas in relating fields.

Job Requirements:

  1. Candidates must hold or be about to obtain a PhD degree in the above-mentioned research areas. Candidates with an earned doctorate from prestigious universities domestic or abroad are preferred.
  2. Good at or have interest in optimization or deep learning algorithms. A solid foundation in Python/MATLAB.
  3. Candidates with solid foundation and research experience in image processing, optimization and deep learning, etc. are preferred.
  4. Have good English writing skills, and have good experience in writing papers, proposals and reports;
  5. Have good communication and presentation skills, and good leadership. 

Benefits and Rewards:

  1. A fix term contract for 2 years.
  2. A competitive salary of 330,000 CNY per annum (including 150,000 CNY province-level subsidy before tax and 60,000 CNY city-level subsidy after tax. The successful candidates will receive the benefits from SUSTech including subsidy for meals, hot weather, festivals, free body check and other benefits required by the law.
  3. Candidates may also apply for the chancellor’s award for outstanding postdocs, with a salary of more than 500,000 CNY per annum (including subsidy from Guangdong and Shenzhen).
  4. Postdocs will receive a subsidy of 25,000 CNY from the university for academic activities during the contract term.
  5. According to the specific scientific research performance of the post-doctoral students, they can enjoy the corresponding scientific research performance awards of the faculty and subject groups.
  6. Successful candidates will be able to apply as the principal investigator for grants from the postdoc science foundation, the national science foundation as well as the Guangdong province and Shenzhen city.
  7. Candidates graduated from the world top 200 foreign universities (according to the latest Times, USNEWS, QS and Shanghai Jiao Tong University Rankings) could apply for a living subsidy of 600,000 CNY from the Guangdong province. The successful candidates will receive a housing subsidy of 400,000 CNY after obtaining their postdoc certificates and signing a contract of more than 3 years with a company registered in Guangdong.
  8. Post-doctoral students who choose to stay in Shenzhen to engage in scientific research and who have signed labor (employment) contracts with enterprises and institutions in the city for more than 3 years can apply for Shenzhen post-doctoral research grants. The Shenzhen Municipal Government gives 100,000 CNY per person per year for three years to subsidize scientific research.
  9. For postdocs who meet the policy requirements of the latest ‘Shenzhen Newly Introduced Talent Rental Housing and Living Allowance’, after settling in Shenzhen, they can apply for a one-time rental housing and living allowance of 30,000 yuan in Shenzhen (tax-free, independent online application).
  10. According to the conditions that they meet, post-docs who stay in Shenzhen or out of Shenzhen can apply for ‘Shenzhen Peacock Plan Class C Talents’ or ‘Shenzhen Reserve Level Talents’ and enjoy an incentive allowance of 1.6 million CNY for 5 years (tax-free) (subject to the latest declaration requirements of relevant talents in Shenzhen).

 

 

To apply:

Please send the following information to Dr. Chao Wang wangc6@sustech.edu.cn or Mrs Zhou (wuj8@mail.sustech.edu.cn) with the email subject “Chao Wang, Ph.D.-Research assistant/Postdoctoral Research Fellow professor/ - your_name”.

  1. Resume (with a complete information and a list of your publications).
  2. Research statement & The contact information of three recommenders (only Postdoctoral Research Fellow professor)
  3. personal statement

 

 

 

 

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