UC Research Profile - University of Canterbury

Associate Professor Yilei Zhang

Contact

Department: Mechanical Engineering

Email: yilei.zhang@canterbury.ac.nz

Direct Dial: +64 3 3690825

Office: Civil & Mechanical Engineering Rm E542

Languages: English, Chinese (Mandarin)

About

Research / Creative works

Networks

Projects

Fields of Research

Bioprinting and in vitro brain model
Tactile sensor and machine learning
Industry 4.0 and advanced manufacturing

Researcher Summary

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.

Subject Area: Disciplines

Engineering and Technology: Bioengineering ; Bioprocess Engineering ; Manufacturing ; Mechanical ; Mechatronics ; Optical & Laser Engineering ; Signal and Image Processing

Research/Scholarly/Creative Works

(Displaying research/scholarly/creative work for last six years)

Chapters

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.

Journal Articles

Jiang C. and Zhang Y. (2023) A Noise-Based Novel Strategy for Faster SNN Training. Neural Computation 35(9): 1593-1608. http://dx.doi.org/10.1162/neco_a_01604.

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 (Switzerland) 15(10) http://dx.doi.org/10.3390/su15107902.

Lyu Z., Pons D., Palliparampil G. and Zhang Y. (2023) Optimising Urban Freight Logistics Using Discrete-Event Simulation and Cluster Analysis: A Stochastic Two-Tier Hub-and-Spoke Architecture Approach. Smart Cities 6(5): 2347-2366. http://dx.doi.org/10.3390/smartcities6050107.

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.

Wang Y., Yue D., Tian B., Li W., Zhang B., Yang L., Li Y., Wang Z. and Zhang Y. (2022) Effectively enhanced photoluminescence of CePO4:Tb3+ nanorods combined with carbon dots. Journal of Rare Earths http://dx.doi.org/10.1016/j.jre.2021.10.006.

Wu X., Tiwari VM., Suryarao KP., Tan R., Xiao R., Lv H., Zhang Y., Wang Z. and Huang WM. (2022) Patterned Colouring via Variable-Speed Single Stretching. Inventions 7(4) http://dx.doi.org/10.3390/inventions7040093.

Yue D., Zhu J., Chen D., Li W., Qin B., Zhang B., Liu D., Yang X., Zhang Y. and Wang Z. (2022) A water-stable zinc metal-organic framework as fluorescent probe for simultaneously sensing of glutathione and cysteine. Dyes and Pigments 206 http://dx.doi.org/10.1016/j.dyepig.2022.110655.

Chen X., Ranjan VD., Liu S., Liang YN., Lim JSK., Chen H., Hu X. and Zhang Y. (2021) In Situ Formation of 3D Conductive and Cell-Laden Graphene Hydrogel for Electrically Regulating Cellular Behavior. Macromolecular Bioscience 21(4) http://dx.doi.org/10.1002/mabi.202000374.

Lyu Z., Pons D., Zhang Y. and Ji Z. (2021) Freight operations modelling for urban delivery and pickup with flexible routing: Cluster transport modelling incorporating discrete-event simulation and GIS. Infrastructures 6(12) http://dx.doi.org/10.3390/infrastructures6120180.

Qin L. and Zhang Y. (2021) A reference spike train-based neurocomputing method for enhanced tactile discrimination of surface roughness. Neural Computing and Applications 33(21): 14793-14807. http://dx.doi.org/10.1007/s00521-021-06119-y.

Wang Y., Lu W., Yue D., Wang M., Tian B., Li Q., Hu B., Wang Z. and Zhang Y. (2021) A strategy to enhance the up-conversion luminescence of nanospherical, rod-like and tube-like NaYF4: Yb3+, Er3+(Tm3+) by combining with carbon dots. CrystEngComm 23(4): 935-943. http://dx.doi.org/10.1039/d0ce01516d.

Li Z., Feng H., Jin L., Zhang Y., Tian X. and Li J. (2020) Polymeric micelle with pH-induced variable size and doxorubicin and siRNA co-delivery for synergistic cancer therapy. Applied Nanoscience (Switzerland) 10(6): 1903-1913. http://dx.doi.org/10.1007/s13204-020-01263-8.

Ranjan VD., Qiu L., Lee JWL., Chen X., Jang SE., Chai C., Lim KL., Tan EK., Zhang Y. and Huang WM. (2020) A microfiber scaffold-based 3D: In vitro human neuronal culture model of Alzheimer's disease. Biomaterials Science 8(17): 4861-4874. http://dx.doi.org/10.1039/d0bm00833h.

Ranjan VD., Zeng P., Li B. and Zhang Y. (2020) In vitro cell culture in hollow microfibers with porous structures. Biomaterials Science 8(8): 2175-2188. http://dx.doi.org/10.1039/c9bm01986c.

Yue D., Zhang X., Tan Y., Wang Z. and Zhang Y. (2020) A novel two-photon fluorescent probe for efficiently detecting Zn2+ and Cd2+ ions. Journal of Luminescence 228 http://dx.doi.org/10.1016/j.jlumin.2020.117618.

Jiao L., Zheng H., Zhang Y. and Ng EYK. (2019) Picosecond laser drilling of silicon with applied voltage. SN Applied Sciences 1(1) http://dx.doi.org/10.1007/s42452-018-0091-y.

Wu Y., Peng Y., Bohra H., Zou J., Ranjan VD., Zhang Y., Zhang Q. and Wang M. (2019) Photoconductive Micro/Nanoscale Interfaces of a Semiconducting Polymer for Wireless Stimulation of Neuron-Like Cells. ACS Applied Materials and Interfaces 11(5): 4833-4841. http://dx.doi.org/10.1021/acsami.8b19631.

Yi Z. and Zhang Y. (2019) A spike train distance-based method to evaluate the response of mechanoreceptive afferents. Neural Computing and Applications 31(10): 6319-6330. http://dx.doi.org/10.1007/s00521-018-3465-6.

Zhang Y., Li C., Wu Y., Zhang Y., Zhou Z. and Cao B. (2019) A microfluidic gradient mixer-flow chamber as a new tool to study biofilm development under defined solute gradients. Biotechnology and Bioengineering 116(1): 54-64. http://dx.doi.org/10.1002/bit.26852.

Editorial Work

Displaying all items.

Frontiers in Computational Neuroscience Associate Editor ( 2021 - 2023)