L. (Liangliang) Cheng, PhD
We welcome master and bacher students join our research group in conducting a research project with us, please feel free to contact us to discuss available topics and opportunities.
Ongoing projects:
1. AMVibe : Vibration-Based Non-Destructive Testing for Metal Additive Manufacturing (2025-2029, budget: 950,000 Euro)
Funded by NWO OTP programme, Main Applicant
Abstract: Additive Manufacturing (AM) or 3D Printing (3DP) technology is fundamentally transforming the manufacturing processes in various industries. However, the risks associated with less-than-ideal printing conditions pose challenges to ensuring the safe quality of AM parts and affect their strength and consistency. This project seeks to address these issues by developing an advanced vibrational Non-Destructive Testing (NDT) methodology for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimise AM benefits, particularly for complex geometries. Insights gained will enhance understanding of AM variability, thus enabling a safer application of metal AM technology.
2. STE-CA-HYDROGEN – Source Term Estimation and Consequence Analysis of Hydrogen Leakages in Hydrogen-related Industrial Processes and Community Facilities (2026-2030, budget: 951,900 Euro)
Funded by EU Horizon Europe MSCA Staff Exchanges 2025 programmem, Main Applicant
Abstract: The project brings together leading universities, research institutes, and industry partners from Europe, the UK, China, and the USA to advance research on hydrogen safety and risk management. The consortium will collaborate on developing AI-driven and data-science-based methods capable of detecting hydrogen leaks, estimating their source in real time, and predicting their potential consequences in industrial and community environments.
3. Grassroots retrofitting for a fair residential energy transition (2026-2030, budget: 290,000 Euro)
Funded by Ubbo Emmius Foundation M20, Co-Applicant
Abstract: This project proposes “grassroots retrofitting” - a bottom-up, data-driven approach piloted in North-East Groningen, an area where energy poverty remains a challenge and retrofitting participation remains low. Using AI-powered infrared thermography, the initiative visualizes energy inefficiencies, making heat loss tangible for homeowners and potentially increasing awareness and willingness to take action. Combined with “connection workshops”, where households interpret thermal images with researchers and receive retrofit advice from professionals, the project aims to also improve the ability of households to take action. By addressing barriers to retrofitting and subsidy access, it seeks to empower households vulnerable to energy poverty and fill critical research gaps in this area.
4. Circular textile project SORTED
Funded by JTF-SNN programme, Co-Applicant