Duke

Dr. Du Ke is currently the Deputy Director of the Data Science Department at China Pharmaceutical University. He holds a Ph.D. in Computer Science from the University of Bourgogne Franche-Comté (UBFC), France, and an M.S. degree in Electronic and Communication Engineering from Harbin Institute of Technology (HIT), China. He has previously worked as a Ph.D. candidate and Post-doctoral researcher at the FEMTO-ST Institute (CNRS UMR 6174), as well as an engineer at the Hisense Research and Development Center. His research interests include artificial intelligence (AI) for science, covering areas such as AI-driven drug discovery, smart healthcare, information systems, medical and health development strategies, and the intelligent protection of architectural heritage. He has published more than 20 academic papers, including 4 high-impact journal and conference papers recommended by the China Computer Federation (CCF), and holds 5 authorized Chinese invention patents. Dr. Du has received several governmental and industrial research grants. He currently serves as a reviewer for prestigious international journals, including IEEE Transactions on Reliability, Engineering Applications of Artificial Intelligence, and the Journal of Drug Delivery Science and Technology, etc. He is also an expert reviewer for thesis evaluations for the Ministry of Education.

[1] Ke Du, Danqi Rong, Rui Lu, Xiaoya Zhang, Hongping Zhao*. Research  on  machine  learning-based  activity  prediction  models  for  KRAS inhibitors. Jounal of China Pharm Univ, 2024, 55(3): 306 -315.

[2] Ke Du*, Jiaxing Yan, Li Tang and Hongping Zhao*. A TransSE-ResNet Deep Learning Model with Multi-Head Attention Mechanism for Covid-19 Chest CT Image Classification, In: International Neural Network Society Workshop on Deep Learning Innovations and Applications in International Joint Conference on Neural Network (INNS DLIA, IJCNN 2023), Procedia Computer Science, 222 (2023) 137-146.

[3] Shuyi Li, Ke Du*, Wei Xu and Ying Cao. The Applications of Internet of Things in Architectural Heritage Preservation, In: the 11th International Conference on Information Systems and Computing Technology (ISCTech), pp. 469-474, 2023.

[4] Ke Du*, Stéphane Domas and Michel Lenczner. A Block Assembly Tool for Design Automation of FPGA Implementations, In: IEEE International Conference on Communication Technology, pp. 1451-1455, 2022. 

[5] Shuyi Li, Ke Du. Key technologies for intelligent protection of water industry heritage based on AI and big data in the context of environmental changes. TICCIH Congress 2022, Montréal, Canada, 2022.

[6] Shuyi Li, Ke Du. Awakening Urban Heritage and Retaining Urban Memory: Heritage Memory Reconstruction under the New Urban Policy. TICCIH Congress 2022, Montréal, Canada, 2022.

[7] Ke Du*, Stéphane Domas and Michel Lenczner. Techniques for Design Analysis and Modification Based on ASAP Model. In: International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS, Embedded Systems Week), pp. 24-26, ACM/IEEE, 2020.

[8] Ke Du, Jiaxing Yan, Hang Zhou, Zhihao Chen, Lulu Wu*. An LSTM Based Deep Learning Method for Airline Ticket Price Prediction. In: the 27th International Conference on Neural Information Processing (ICONIP), Communications in Computer and Information Science, vol 1333, pp. 762-769, Springer, 2020.

[9] Ke Du*, Stéphane Domas and Michel Lenczner. Actors with Stretchable Access Patterns. Integration, the VLSI Journal, 66, pp. 44-59, 2019.

[10] Ke Du*, Stéphane Domas and Michel Lenczner. A Solution to some Limitations of SDF Based Models. In: 19th IEEE International Conference on Industrial Technology (ICIT), Lyon, France, pp. 1395-1400, IEEE, 2018.

[11] Ke Du, Jinlong Liu*, Xingrui Zhang, Stéphane Domas, Yudong Guan. A Graph-based Algorithm for Supervised Image Classification (Full paper). In: 18th International Conference on Computational Science (ICCS), Lecture Notes on Computer Science (LNCS), vol. 10861, pp. 184-193. Springer, 2018.

[12] Ke Du*, Stéphane Domas, Mengdie Wu and Michel Lenczner. A Hole-Filling Framework Based on DIBR and Improved Criminisi’s Algorithm for 3D Videos, International Conference on Cloud and Big Data Computing, London, United Kingdom, pp. 119-124, ACM, 2017.

Ke Du*, Stéphane Domas, Michel Lenczner and Guangjin Zhang. An Improved Algorithm Based on SURF for MR Infant Brain Image Registration. In: 12th International Conference on Intelligent Computation (ICIC), Lanzhou, China. Intelligent Computing Theories and Application, Lecture Notes on Computer Science (LNCS), vol. 9772, pp. 458-470. Springer, Switzerland, 2016. 

1. Research on the Innovation of the High-quality Development Model of Jiangsu's Pharmaceutical Industry Driven by Data and Intelligence. The Key Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province, No. 2023SJZD130.

2. Research on the Imaging Applications of COVID-19 based on Explainable Artificial Intelligence. The Fundamental Research Funds for the Central Universities, No. 2632022FY03.

1. The third prize in the 7th Teaching Rookie Award of China Pharmaceutical University.

2. The third prize in Lecture Competition of the School of Science, China Pharmaceutical University.

3. The third prize in the First Micro Course Competition of the School of Science, China Pharmaceutical University.

4. The outstanding graduation thesis of China Pharmaceutical University (supervisor).

5. The third prize in the Jiangsu Biomedical Science Competition (supervisor).

6. The third prize of the Asia-Pacific Mathematical Contest in Modeling (supervisor).

7. The third prize in the East China Division of the Big Data and Artificial Intelligence in the Challenge National University Computer Ability Challenge (supervisor).

The second prize in Shandong University Student Software Design Competition (supervisor).

Treasures of the old factories: past, present and future, Culture Heritage Protection Series, Harbin Institute of Technology Press, 2022.