Mingming Liu
An Independent Researcher Interested in Solving Challenging Problems in Engineering Applications
CONTACT INFO:
PublicationsSUMMARY
- ► Senior Postdoc Research Fellow at UCD (2017)
- ► Applied Researcher/Data Scientist at IBM (2018)
- ► Assistant Professor at DCU (2019)
ABOUT MINGMING
Dr Mingming Liu is currently working as an Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU). He received his B. Eng (1st Hons, ranked 1st) in Electronic Engineering from the National University of Ireland Maynooth in 2011 and his Ph.D. from the Hamilton Institute at the same university in 2015. He has several years of experience in machine learning, control and optimisation theories with strong links to electric vehicles, IoT, smart grids, smart transportation and smart cities.RESEARCH INTERESTS
Edge Computing
hardware and software processing …
Machine Learning
Machine learning at the edge
Sensing and Actuation
IoT interacting with the physical …
Selected Publications
• M. Liu, L. Cheng, Y. Gu, Y. Wang, Q. Liu and N. O'Connor, "MPC-CSAS: Multi-party computation for real-time privacy-preserving speed advisory systems", IEEE Transactions on Intelligent Transportation Systems, pp. 1-7, 2021.• Y. Gu, A. Zalkikar, M. Liu, L. Kelly, A. Hall, K. Daly and T. Ward, "Predicting medication adherence using ensemble learning and deep learning models with large scale healthcare data", Scientific Reports, vol. 11, pp. 1-13, no. 1, 2021.
• M. Liu, J. Naoum-Sawaya, Y. Gu, F. Lecue and R. Shorten, "A distributed markovian parking assist system", IEEE Transactions on Intelligent Transportation Systems, vol. 20, pp. 2230-2240, no. 6, 2018.
• M. Liu, R. Ordóñez-Hurtado, F. Wirth, Y. Gu, E. Crisostomi and R. Shorten, "A distributed and privacy-aware speed advisory system for optimizing conventional and electric vehicle networks", IEEE Transactions on Intelligent Transportation Systems, vol. 17, pp. 1308-1318, no. 5, 2015.
• E. Crisostomi, M. Liu, M. Raugi and R. Shorten, "Plug-and-play distributed algorithms for optimized power generation in a microgrid", IEEE transactions on Smart grid, vol. 5, pp. 2145-2154, no. 4, 2014.