Associate ProfessorYilei Zhang

Civil & Mechanical Engineering Rm E542
Internal Phone: 90825


Research Interests

Dr. Zhang's research focuses on the combination of advanced manufacturing and biomedical researches. This includes electrospinning/bioprinting 3D scaffolds for in vitro Alzheimer’s disease models, microfabrication of microcalorimeter arrays for cellular metabolistic heat measurement, novel high speed bioprinting of complex tissues/organs, and mimicking human neural systems for artificial tactile perception and smart sensors/devices/robotics.
Currently, Dr. Zhang is teaching the special topic on Industry 4.0, including artificial intelligence and Internet of Things for advanced manufacturing. Dr. Zhang received his PhD degree in mechanical engineering and electrical engineering from Iowa State University. Undergraduate/postgraduate students or visiting scholars are welcome to join the research group.

Recent Publications

  • Chen X., Liu S. and Zhang Y. (2020) Hydrogels and hydrogel composites for 3D and 4D printing applications. In Sadasivuni KK; Deshmukh K; Al-Maadeed MAS (Ed.), 3D and 4D Printing of Polymer Nanocomposite Materials: Processes, Applications, and ChallengesElsevier.
  • Lyu Z., Pons D. and Zhang Y. (2023) Emissions and Total Cost of Ownership for Diesel and Battery Electric Freight Pickup and Delivery Trucks in New Zealand: Implications for Transition. Sustainability 15(10): 7902-7902. http://dx.doi.org/10.3390/su15107902.
  • Jiang C., Yang L. and Zhang Y. (2022) A Spiking Neural Network with Spike-Timing-Dependent Plasticity for Surface Roughness Analysis. IEEE Sensors Journal 22(1): 438-445. http://dx.doi.org/10.1109/JSEN.2021.3120845.
  • Lyu Z., Pons D., Chen J. and Zhang Y. (2022) Developing a Stochastic Two-Tier Architecture for Modelling Last-Mile Delivery and Implementing in Discrete-Event Simulation. Systems 10(6) http://dx.doi.org/10.3390/systems10060214.
  • Lyu Z., Pons D., Zhang Y. and Ji Z. (2022) Minimum Viable Model (MVM) Methodology for Integration of Agile Methods into Operational Simulation of Logistics. Logistics 6(2) http://dx.doi.org/10.3390/logistics6020037.