Mingming Liu

Dr

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S346
T:Ext. 8492

E:Mingming.Liu@dcu.ie

Assistant Professor



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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 PhD from the Hamilton Institute at the same university in 2015 when he was 26. He has several years of experience in machine learning, control and optimisation theories with strong links to electric vehicles, hybrid vehicles, IoT, smart grids, smart transportation and smart cities.

Prior to DCU, he worked at IBM Ireland Lab as a data scientist, applied researcher and project lead, where he had been involved in several EU H2020 projects, including Chariot, VI-DAS, ICONET and 5G-Solutions. He was the work package lead for VI-DAS and 5G-Solutions at IBM. Before his role at IBM, he worked at University College Dublin as a (senior) postdoctoral researcher with a focus on both EU and Science Foundation Ireland (SFI) funded projects, including Green Transportation and Networks (SFI) and Enable-S3 (H2020). He is an IEEE Senior Member and he has published several top-tier journals in his research fields, including “IEEE Transactions on Smart Grids”, “IEEE Transactions on Intelligent Transportation Systems”, “IEEE Transactions on Automation Science and Engineering”, "IEEE Transactions on Transportation Electrification", "IEEE System Journal", "Nature Scientific Reports" and “Automatica”. Since 2018, he has secured more than 1.5 million euros in research funding from various sources as an independent PI. Also, he has also actively participated in many academic activities, including technical committees, organisation committees and management committees at both national and international levels. He is the management committee member for Ireland in the EU COST Action CA19126, CA20138 and CA21131. Please visit my personal website https://mingmingliu.net for more information about my research works.

Certain data included herein are derived from the © Web of Science (2023) of Clarivate. All rights reserved.

Research Interests

Machine Learning, Deep Learning, Reinforcement Learning, Federated Learning, Data Science, Distributed Control, Mathematical Modelling, Convex Optimisation, IoT, Linear and Nonlinear Dynamical Systems, Edge Computing, Fog Computing, Cloud Computing, Electric Vehicles, Smart Grids, Intelligent Transportation Systems, Smart Healthcare, Smart Cities

Teaching Interests

Machine Learning, Deep Learning, System and Control, Applied Optimisation, Mathematical Modelling, Data Science, IoT, Electric Vehicles, Smart Grids, Smart Transportation

Modules Coordinated

Term Title Subject
2022 MSc IoT Project EE5003
2022 Mechatronic System Simulation & Control EE459
2022 Control Systems Analysis EE458