dst 20200924 thomaschxu

Dr. Thomas Canhao XU
Assistant Professor of Data Science
Division of Science and Technology
office: T6-302-R8

Google Scholars

ResearchGate

Curriculum Vitae

Education

2008-2012, Ph.D., University of Turku, Finland
2005-2007, M.Eng., Zhejiang University, China

Research Interests

Hardware/software codesign, AIoT, algorithm design, machine learning, and medical imaging

Current Teaching

COMP4163 Neural Network and Deep Learning
DS3003 Data Processing Workshop II

Selected Publications
  1. Embedded Technology: Foundations and Applications (5th edition), Tsinghua University Press, 2019, ISBN: 9787302518587. (嵌入式技术基础与实践(第5版)—基于ARM Cortex-M4F内核的MSP432系列微控制器,普通高等教育“十二五”国家级规划教材,江苏省高等学校重点教材,清华大学出版社)
  2. Tao Peng, Thomas Canhao Xu, Yihuai Wang, Fanzhang Li; Deep Belief Network and Closed Polygonal Line for Lung Segmentation in Chest Radiographs; The Computer Journal, accepted on Sep 2020. (CCF-B)
  3. Tao Peng, Thomas Canhao Xu, Yihuai Wang, Hailing Zhou, Sema Candemir, Wan Mimi Diyana Wan Zaki, Shanq-Jang Ruan, Jing Wang, Xinjian Chen; Hybrid Automatic Lung Segmentation on Chest CT Scans; IEEE Access, Volume 8, April 2020, Pages 73293 - 73306. DOI: 10.1109/ACCESS.2020.2987925. (JCR Q1)
  4. Tao Peng, Yihuai Wang, Thomas Canhao Xu, Xinjian Chen; Segmentation of Lung in Chest Radiographs Using Hull and Closed Polygonal Line Method; IEEE Access, Volume 7, December 2019, Pages 137794-137810. DOI: 10.1109/ACCESS.2019.2941511. (JCR Q1)
  5. Tao Peng, Yihuai Wang, Thomas Canhao Xu, Lianmin Shi, Jianwu Jiang, Shilang Zhu; Detection of Lung Contour with Closed Principal Curve and Machine Learning. Journal of Digital Imaging, 31(4): 520-533 (2018). (JCR Q1)
  6. Thomas Canhao Xu, Ville Leppänen; PEN: a power law-enhanced network design for high efficiency multicore architecture. Concurrency and Computation: Practice and Experience 29(16) (2017). (JCR Q2)
  7. Thomas Canhao Xu, Ville Leppänen, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen: PDNOC: Partially diagonal network-on-chip for high efficiency multicore systems. Concurrency and Computation: Practice and Experience 27(4): 1054-1067 (2015). (JCR Q2)
  8. Thomas Canhao Xu, Gert Schley, Pasi Liljeberg, Martin Radetzki, Juha Plosila, Hannu Tenhunen; Optimal Placement of Vertical Connections in 3D Network-on-Chip; Journal of Systems Architecture, Volume 59, Issue 7, August 2013, Pages 441-454. (CCF-B)
  9. Masoud Daneshtalab, Masoumeh Ebrahimi, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen; A generic adaptive path-based routing method for MPSoCs; Journal of Systems Architecture, Volume 57, Issue 1, January 2011, Pages 109-120. (CCF-B)
  10. Thomas Canhao Xu, Pasi Liljeberg, and Hannu Tenhunen; Optimal Memory Controller Placement for Chip Multiprocessor; In Proceedings of the 9th IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES/ISSS), pp.217-226, 9-14 October 2011, Taipei, Taiwan. (CCF-B, top conference for hardware/software codesign)
Grants and Projects
  1. Research on the Segmentation and Classification Methods of Lung Image based on Deep Learning (基于深度学习的肺部图像分割分类方法研究), 2020-2023, Jiangsu Province Science Foundation (江苏省自然科学基金面上项目), PI.
  2. Research on the Security of Group Delegation of Computation (群体委托计算安全问题研究), 2020-2023, NSFC (国家自然科学基金), Investigator.
  3. Theories, Technologies, and Application on Medical Imaging of Meta Learning (人工智能元学习新理论与新技术及其在医学影像大数据的示范应用), 2019-2024, National Key R&D Project (国家重点研发计划“变革性技术关键科学问题”重点专项), Participated.
  4. Smart Robot for STEAM Education, Suzhou Ziguang AI Tech R&D Co. Ltd., PI.
  5. Efficient Refueller Devices, Jiangyin Furen High-tech Co. Ltd., PI.
  6. Software/Hardware Co-Design for Machine Learning with Limited Computation Resources, 2017-2019, Jiangsu Province Science Foundation (江苏省高等学校自然科学研究面上项目), PI.
  7. Software/Hardware Co-Design for 5G NB-IoT module, 2017-2019, China Telecom, China Mobile, Suzhou Gas Corp, Soochow University, Participated.
  8. Accurate Lung Segmentation and 3D Model Reconstruction Based on Machine Learning, 2017-2020, The Second Affiliated Hospital of Soochow University, Participated.
  9. Motor Monitor System Based on Big Data and Machine Learning, 2016-2019, Lefeng Tech Shenzhen, PI.
  10. Timing Analysis on Code-Level, 2012-2016, EU FP7/Horizon 2020, Participated.
  11. Prostate Cancer Diagnosis System Based on Machine Learning, 2013-2015, TYKS University of Turku Central Hospital, Participated.
  12. Agent Based Management of Embedded Data Reserves, 2012-2014, Academy of Finland, Participated.
  13. Embedded Media Storage with Integrated Associative Search, 2009-2011, Academy of Finland, Participated.
  14. B2C Platform Based on Linux/Apache/MySQL/PHP, 2005-2006, Shanghai Qixun Information Technology Co. Ltd., PI.
  15. Ningbo Changhong Tunnel Toll Gate System, 2005-2006, Zhejiang University, Participated.
  16. Ningbo Data Center System, China Telecom, 2005-2006, Zhejiang University, Participated.
Academic and Social Service
  • Associate Editor (2020-Present), IEEE Access (JCR Q1)
  • Editorial Board Member (2019-Present), Electronic Communication and Computer Science
  • Expert (2018-Present), Database of Technology Experts, Jiangsu Province Science and Technology Department
  • Expert (2018-Present), Database of Technology Experts, Jiangxi Province Science and Technology Department
  • Expert (2018-Present), Evaluation of High-tech Enterprises, Jiangsu Province Science and Technology Department
  • Committee Member (2017-Present), Embedded System and Internet-of-Things Section, Jiangsu Computer Society
  • Committee Member (2018-Present), Youth Information and Smart Education Section, Jiangsu Computer Society
  • Expert for Technology Advisory (2018-Present), Suzhou Science and Technology Bureau
  • Expert (2018-Present), Youth Smart Education Section, Suzhou Association for Artificial Intelligence
Awards and Honors
  • Excellent Supervisor of 2018-2019, C.W. Chu College, Soochow University
  • Supervisor for the 3rd-class Prize, 2018 NXP Smart Car Competition for Chinese Universities
  • Supervisor for the Excellent Prize (UAV Human Face Detection and Data Sharing), Second “Internet+” University Creative Competition
  • Best Paper, 14th International Conference on Computer Systems and Technologies
  • Best Paper, 27th IEEE Norchip Conference
  • Nokia Scholarship, 2011
  • Research Award, Tekniikan edistämissäätiö, 2011
  • Nokia Scholarship, 2010