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Dr. Zhiping Fan | Handle | Best Researcher Award

Professor at Drilling Engineering, Suez university, Egypt

Her research direction is in Artificial Intelligence Assisted Diagnosis. Zhiping Fan holds a jointly supervised Doctorate in Control Science and Engineering from DongHua University and the University of Alberta. She also has a Master’s degree in Agricultural Electrification and Automation from Northwest Agriculture and Forestry University, and a Bachelor’s degree in Agricultural Electrification and Automation from Inner Mongolia Agricultural University.

Professional Profiles:

Education:

Dr. Thangavelu Arumugam is an accomplished professional with a diverse educational background. He holds a Doctor of Philosophy (Ph.D.) in Control Science and Engineering, a joint program between DongHua University and the University of Alberta. His Master’s degree focused on Agricultural Electrification and Automation, which he completed at Northwest Agriculture and Forestry University. Dr. Arumugam’s academic journey began with a Bachelor’s degree in Agricultural Electrification and Automation from Inner Mongolia Agricultural University. His educational path reflects a strong foundation in both engineering and agricultural sciences.

Publications:

Tong, Y., Ren, Z., Tong, D., Fan, Z., Feng, X. (2024). “Combined finite-time state feedback for high-speed train systems with time-varying delays and disturbances.” International Journal of Robust and Nonlinear Control, 34(3), pp. 2184–2205. (0 Citations)

Tong, Y., Ren, Z., Tong, D., Fan, Z., Feng, X. (2023). “Combined Finite-Time State Feedback Design for Discrete-Time Neural Networks with Time-Varying Delays and Disturbances.” Neural Processing Letters, 55(6), pp. 7907–7931. (1 Citation)

Fan, Z., Ren, Z., Chen, A. (2023). “Multi-objective predictive control based on the cutting tobacco outlet moisture priority.” Scientific Reports, 13(1), 199. (1 Citation)

Feng, X., Pan, A., Ren, Z., Fan, Z., Tong, Y. (2023). “An adaptive dual-population based evolutionary algorithm for industrial cut tobacco drying system.” Applied Soft Computing, 144, 110446. (1 Citation)

Feng, X., Pan, A., Ren, Z., Fan, Z. (2022). “Hybrid driven strategy for constrained evolutionary multi-objective optimization.” Information Sciences, 585, pp. 344–365. (11 Citations)

Hong, J., Fan, Z., Ren, Z. (2021). “Application of Predictive PI and Multiple Cascade Control in Ordering-cylinder.” 2021 IEEE 4th International Conference on Information Systems and Computer Aided Education, ICISCAE 2021, pp. 106–111. (0 Citations)

Wang, W., Feng, X., Fan, Z., Chen, H., Ren, Z. (2020). “Design and application of control strategy for moisture content in redried tobacco strips packed in cases | 打叶复烤成品片烟装箱含水率控制策略设计及应用.” Tobacco Science and Technology, 53(11). (6 Citations)

Chen, A., Ren, Z., Fan, Z., Feng, X. (2020). “Dead band zone model predictive control of cut tobacco drying process.” IEEE Access, 8, pp. 157781–157792. (5 Citations)

Chen, A., Ren, Z., Fan, Z., Feng, X. (2020). “Two-Layered Model Predictive Control Strategy of the Cut Tobacco Drying Process.” IEEE Access, 8, pp. 155697–155709. (7 Citations)

Chen, A., Ren, Z., Fan, Z., Feng, X. (2020). “Combined Integrating Control Based on Dynamic Optimization Estimation.” Mathematical Problems in Engineering, 2020, 5917606. (1 Citation)

Dr. Zhiping Fan | Handle | Best Researcher Award

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