Guodong is a third-year (2017) Ph.D research assistant in computer science at Vienna University of Technology. He is working on the project “DK – Cyber-Physical Production Systems”, funded by TU Vienna, Austria. His research interests mainly focus on Industrial Data Processing by Using Artificial Intelligent techniques and Bio-inspired approaches.

Guodong has completed M.Sc. in System Analysis and Integration at Nanjing University of Info Sci & Tech, Nanjing, China (2014). As a junior computer science researcher, he provides the efficient and smart industrial data processing solutions.

Research Interests

  • Cyber-Physical Production Systems (Smart Factory)
  • Computational Intelligence
  • Neural Computing
  • Machine Learning, Data Mining


  1. Wang, G., Hasani, R.M., Zhu, Y. and Grosu, R., 2017, March. A novel Bayesian network-based fault prognostic method for semiconductor manufacturing process. In Industrial Technology (ICIT), 2017 IEEE International Conference on (pp. 1450-1454). IEEE.
  2. Wang, G. and Grosu, R., Milling-Tool Wear-Condition Prediction with Statistic Analysis and Echo-State Networks. In Proceedings of S2M’16, the International Conference on Sustaniable Smart Manufacturing.
  3. Guodong Wang, Mohamed Amin Ben Sassi, Radu Grosu, “ZIZO: A Novel Zoom-In-Zoom-Out Search Algorithm for the Global Parameters of Echo-State Networks”, Canadian Journal of Electrical and Computer Engineering, Accepted, IEEE.
  4. Hasani, R.M., Wang, G. and Grosu, R., 2017. An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings. arXiv preprint arXiv:1703.06272.
  5. Hasani, R.M., Wang, G. and Grosu, R., 2017, June. Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model. In International Work-Conference on Artificial Neural Networks (pp. 392-402). Springer, Cham.
  6. Yungang Zhu, Hongying Duan, Xinhua Wang, Baokui Zhou, Guodong Wang, Radu Grosu. Gaussian Convex Evidence Teory for Ordered and Fuzzy Evidence Fusion. Journal of Intelligent and Fuzzy Systems. 2017. Accepted
  7. Zhou W P, Li Y, Liu Q S, Guodong Wang, et al (2014), “Fast compression and reconstruction of astronomical images based on compressed sensing”, Research in Astronomy and Astrophysics, 201414(9): 1207.
  8. Wen Liu,Wangping Zhou, Guodong Wang (2014), Tilting Axis Solar Tracking System Based On DSP Chip. Electronic Application Technology, 2014 40(5): 24-27.
  9. Wangping Zhou, Guodong Wang (2014), “Study on the Self-Decision of a Cyber-Physical Systems Based on Similarity Computing”, Artifcial Intelligence and Patern Recognition, 2014 11: 003.
  10. Wangping Zhou, Dongcheng Bai, and Guodong Wang (2012), “Design of the smart car for emergent disaster detection”, World Automation Congress (WAC), 2012, pp. 1-3, 2012. 06.24-28

Contact Details

T: +44(0)1223 766141
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