Staff Profile

Background

I am a self-motivated and enthusiastic researcher with experience in conducting cutting-edge research in the field of intelligent transport systems (ITS) and environmental engineering. My research interests cover a wide range of transport and environment topics including clean and sustainable energy, transport and environment, vehicle and transport-related emissions, cooperative intelligent transport system (C-ITS), connected and autonomous vehicles (CAVs), electro-mobility, shared mobility and mobility as a service (MaaS).

Google Scholar: https://scholar.google.com/citations?user=er4M4hMAAAAJ&hl=en&authuser=1

ResearchGate: https://www.researchgate.net/profile/Yanghanzi_Zhang2

Qualifications

2015-2019   PhD in Environmental Engineering, Newcastle University (UK)

2011-2013  MSc in Environmental Engineering, Newcastle University (UK)

Honours and Awards

Awarded the best poster at the Postgraduate Research Conference, Newcastle University, Newcastle, July 2015.

Awarded the best abstract at the BBRSC NIBB annual early-career research conference, Birmingham University, July 2017.

Reviewer for

Journals: Science of the Total Environment; Journal of Environmental Chemical Engineering; Journal of Applied Phycology; International Journal of Physical Sciences; Plant Biotechnology Journal; Biomass Conversion and Biorefinery; Water Research 

Research Interests

• Clean and sustainable energy
• Transport and Environment, vehicle and transport-related emissions
• Cooperative intelligent transport system (C-ITS)
• Connected and automated vehicles (CAVs)
• Mobility as a Service (Maas)

Research Projects 

• European Union's Horizon 2020 Research and Innovation Programme C-MobILE (Accelerating C-ITS Mobility Innovation and Deployment in Europe) Cooperative systmes project
• Department for Digital, Culture, Media & Sport (DCMS) funded-5G Enabled Connected and Automated Logistics (CAL) project
• eHUBS-Smart Shared Green Mobility Hubs: Funded by INTERREG North West Europe, eHUBS is focusing on Travel Behaviour Change wity 92 physical eHUBs infrasturcture in Europe

Postgraduate Teaching

• MSc dissertation supervision. Teaching and supervising MSc students designing experiments, data collection and analysis.
• Postgraduate teaching. Delivering the practical element for MSc modules CEG8101, CEG8103, CEG8104 and CEG8419, Newcastle University. 

• Articles

  • Li S, Zhang Y, Blyth P, Edwards S, Ji Y. Remote driving as the Failsafe: Qualitative investigation of Users’ perceptions and requirements towards the 5G-enabled Level 4 automated vehicles. Transportation Research Part F Traffic Psychology and Behaviour 2024, 100, 211-230.
  • Li S, Milligan K, Blythe P, Zhang Y, Edwards S, Palmarini N, Corner L, Ji Y, Zhang F, Namdeo A. Exploring the role of human-following robots in supporting the mobility and wellbeing of older people. Scientific Reports 2023, 13, 6512.
  • Li S, Zhang Y, Edwards S, Blythe P. Exploration into the Needs and Requirements of the Remote Driver When Teleoperating the 5G‐Enabled Level 4 Automated Vehicle in the Real World—A Case Study of 5G Connected and Automated Logistics. Sensors 2023, 23(2), 820.
  • Li S, Edwards S, Isik M, Zhang Y, Blythe P. Qualitative Examination of Cooperative-Intelligent Transportation Systems in Cities to Facilitate Large-Scale Future Deployment. Sensors 2022, 22(21), 8423.
  • Zhang Y, Li S, Blythe P, Edwards S, Guo W, Ji Y, Xing J, Goodman P, Hill G. Attention Pedestrians Ahead: Evaluating User Acceptance and Perceptions of a Cooperative Intelligent Transportation System-Warning System for Pedestrians. Sustainability 2022, 14(5), 2787.
  • Li S, Blythe P, Zhang Y, Edwards S, Guo W, Ji Y, Goodman P, Hill G, Namdeo A. Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles. Scientific Reports 2022, 12, 11645.
  • Li S, Blythe P, Zhang Y, Edwards S, Xing J, Guo W, Ji Y, Goodman P, Namdeo A. Should older people be considered a homogeneous group when interacting with level 3 automated vehicles?. Transportation Research Part F: Traffic Psychology and Behaviour 2021, 78, 446-465.
  • Zhang Y, Caldwell GS, Blythe PT, Zealand AM, Li S, Edwards S, Xing J, Goodman P, Whitworth P, Sallis PJ. Co-digestion of microalgae with potato processing waste and glycerol: Effect of glycerol addition on methane production and the microbial community. RSC Advances 2020, 10(61), 37391-37408.
  • Zhang Y, Caldwell GS, Sallis PJ. Semi-continuous anaerobic co-digestion of marine microalgae with potato processing waste for methane production. Journal of Environmental Chemical Engineering 2019, 7(1), 102917.
  • Zhang Y, Caldwell GS, Sallis PJ. Renewable energy - evaluation of low energy demand pre-treatments to optimise methane production from microalgae. IET Renewable Power Generation 2019, 13(10), 1701-1710.
  • Zhang Y, Caldwell GS, Zealand AM, Sallis PJ. Anaerobic co-digestion of microalgae Chlorella vulgaris and potato processing waste: Effect of mixing ratio, waste type and substrate to inoculum ratio. Biochemical Engineering Journal 2019, 143, 91-100.

• Book Chapter

  • Xing J, Luo R, Chen L, Wang J, Cai X, Li S, Blythe P, Zhang Y, Edwards S. A Comparison of Deep Neural Network Architectures in Aircraft Detection from SAR Imagery. In: Rysz M; Tsokas A; Dipple KM; Fair KL; Pardalos PM, ed. Synthetic Aperture Radar (SAR) Data Applications. Cham: Springer, 2023, pp.91-111.