Mingming Liu

Mingming Liu
Dublin City University | DCU · School of Electronic Engineering

B.Eng, Ph.D.

About

62
Publications
6,124
Reads
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374
Citations
Introduction
I am an Assistant Professor in the School of Electronic Engineering at Dublin City University. I received my B. Eng (1st Hons) in Electronic Engineering from the National University of Ireland Maynooth in 2011 and my PhD from the Hamilton Institute at the same university in 2015. I have several years of experience in machine learning, control and optimisation with applications to EVs, IoTs, smart grids, intelligent transportation, cloud computing, and smart cities. I am an IEEE Senior Member.
Additional affiliations
June 2018 - September 2019
IBM
Position
  • Data Scientist
Description
  • I was a data scientist & applied researcher within the Innovation Exchange Team at the IBM Ireland Lab in Dublin. At IBM Ireland, I have been involved in several EU H2020 projects, acting as WP leaders, and task owners for different projects for IBM.
September 2015 - June 2018
University College Dublin
Position
  • PostDoc Position
Description
  • I started my career as a postdoctoral researcher at UCD in Sept 2015. My research activities mainly focused on using renewable energy in an optimal way to maximize the efficiency of the hybrid electric transportation fleet.
September 2011 - September 2015
National University of Ireland, Maynooth
Position
  • Research Assistant
Description
  • Designed and applied a variety of centralized and decentralized based algorithms to optimally integrate electric vehicles to smart grid and smart transportation systems.
Education
September 2011 - September 2015
National University of Ireland, Maynooth
Field of study
  • Control and Optimization of Hybrid Electric Vehicles
September 2007 - June 2011
National University of Ireland, Maynooth
Field of study
  • Electronic Engineering

Publications

Publications (62)
Article
Full-text available
This paper introduces distributed algorithms that share the power generation task in an optimized fashion among the several Distributed Energy Resources (DERs) within a microgrid. We borrow certain concepts from communication network theory, namely Additive-Increase-Multiplicative-Decrease (AIMD) algorithms, which are known to be convenient in term...
Article
Full-text available
One of the key ideas to make Intelligent Transportation Systems (ITS) work effectively is to deploy advanced communication and cooperative control technologies among the vehicles and road infrastructures. In this spirit, we propose a consensus-based distributed speed advisory system that optimally determines a recommended common speed for a given a...
Article
Full-text available
At present, Electric Vehicles (EVs) and Plug-in Hybrid Electric Vehicles (PHEVs) are increasingly being seen as a means of mitigating the increasing concerns of traffic-related pollution. Traditionally, hybrid vehicles are designed with the objective of minimising fuel consumption. In this paper, engine management strategies are proposed that are n...
Article
Full-text available
We discuss a recently introduced ECO-driving concept known as smart procurement of naturally generated energy (SPONGE) in the context of plug-in hybrid electric buses. Examples are given to illustrate the benefits of this approach to ECO-driving. Finally, distributed algorithms to realize SPONGE are discussed, paying attention to the privacy implic...
Article
Full-text available
We consider a class of consensus systems driven by a nonlinear input. Such systems arise in a class of Internet of Things (IOT) applications. Our objective in this paper is to determine conditions under which a certain partially distributed system converges to a Lur’e-like scalar system, and to provide a rigorous proof of its stability. Conditions...
Preprint
Full-text available
Microservice-based architecture has become prevalent for cloud-native applications. With an increasing number of applications being deployed on cloud platforms every day leveraging this architecture, more research efforts are required to understand how different strategies can be applied to effectively manage various cloud resources at scale. A lar...
Article
Full-text available
In this paper, we investigate different scenarios of anomaly detection on decentralised Internet of Things (IoT) applications. Specifically, an anomaly detector is devised to detect different types of anomalies for an IoT data management system, based on the decentralised alternating direction method of multipliers (ADMM), which was proposed in our...
Preprint
Full-text available
The increase in use of online educational tools has led to a large amount of educational video materials made available for students. Finding the right video content is usually supported by the overarching learning management system and its interface that organises video items by course, categories and weeks, and makes them searchable. However, onc...
Preprint
Full-text available
Nowadays, intelligent highway traffic network is playing an important role in modern transportation infrastructures. A variable speed limit (VSL) system can be facilitated in the highway traffic network to provide useful and dynamic speed limit information for drivers to travel with enhanced safety. Such system is usually designed with a steady adv...
Article
Full-text available
The steady increase in use of online educational tools and services has led to a large amount of educational video materials made available for students to watch. Finding the right video content is usually supported by the overarching learning management system and its user interface that organizes various video items by course, categories and week...
Preprint
Full-text available
Second language learning can be enabled by tandem collaboration where students are grouped into video conference calls while learning the native language of other student(s) on the calls. This places students in an online environment where the more outgoing can actively contribute and engage in dialogue while those more shy and unsure of their seco...
Conference Paper
Tandem telecollaboration is a pedagogy used in second language learning where mixed groups of students meet online in videoconferencing sessions to practice their conversational skills in their target language. We have built and deployed a system called L2 Learning to support post-session review and self-reflection on students’ participation in suc...
Preprint
Full-text available
Creating an appropriate energy consumption prediction model is becoming an important topic for drone-related research in the literature. However, a general consensus on the energy consumption model is yet to be reached at present. As a result, there are many variations that attempt to create models that range in complexity with a focus on different...
Preprint
Full-text available
Tandem telecollaboration is a pedagogy used in second language learning where mixed groups of students meet online in videoconferencing sessions to practice their conversational skills in their target language. We have built and deployed a system called L2 Learning to support post-session review and self-reflection on students participation in such...
Cover Page
Full-text available
Electric vehicles, including battery electric vehicles, plug-in hybrid electric vehicles, and fuel cell electric vehicles are the main contributors toward reaching the net-zero emission target in the transport sector. To ensure the smooth entry of battery-electric and other renewable vehicles into the market, hybrid and plug-in hybrids play an irre...
Preprint
Full-text available
In recent years, an increasing number of shared E-bikes have been rolling out rapidly in our cities. It therefore becomes important to understand new behaviour patterns of the cyclists in using these E-bikes as a foundation for the novel design of shared micromobility services as part of the realisation for next generation intelligent transportatio...
Article
Full-text available
Electrified vehicles are increasingly being seen as a means of mitigating the pressing concerns of traffic-related pollution. Due to the nature of engine-assisted vehicle exhaust systems, pedestrians in close proximity to these vehicles may experience events where specific emission concentrations are high enough to cause health effects. To minimize...
Patent
Full-text available
In an approach to managing transmission frequency for a plurality of edge devices of an interconnected distributed network , one or more computer processors determine a maximum writing frequency, MWF, for the interconnected distributed network; iteratively process values of data flow writing frequency, DFWF, for a plurality of edge devices of an in...
Article
Full-text available
Clinical studies from WHO have demonstrated that only 50–70% of patients adhere properly to prescribed drug therapy. Such adherence failure can impact therapeutic efficacy for the patients in question and compromises data quality around the population-level efficacy of the drug for the indications targeted. In this study, we applied various ensembl...
Article
Full-text available
Positive Energy Districts (PED) are areas within cities that generate more renewable energy than they consume, contributing to cities’ energy system transformation toward carbon neutrality. Since PED is a novel concept, the implementation is very challenging. Within the European Cooperation in Science and Technology (COST) Action, which offers an o...
Chapter
Much of the delivery of University education is now by synchronous or asynchronous video. For students, one of the challenges is managing the sheer volume of such video material as video presentations of taught material are difficult to abbreviate and summarise because they do not have highlights which stand out. Apart from video bookmarks there ar...
Conference Paper
Full-text available
Recently, there has been an increasing interest in the roll-out of electric vehicles (EVs) in the global automotive market. Compared to conventional internal combustion engine vehicles (ICEVs), EVs can not only help users reduce monetary costs in their daily commuting, but also can effectively help mitigate the increasing level of traffic emissions...
Preprint
Full-text available
Recently, there has been an increasing interest in the roll-out of electric vehicles (EVs) in the global automotive market. Compared to conventional internal combustion engine vehicles (ICEVs), EVs can not only help users reduce monetary costs in their daily commuting, but also can effectively help mitigate the increasing level of traffic emissions...
Preprint
Full-text available
Much of the delivery of University education is now by synchronous or asynchronous video. For students, one of the challenges is managing the sheer volume of such video material as video presentations of taught material are difficult to abbreviate and summarise because they do not have highlights which stand out. Apart from video bookmarks there ar...
Conference Paper
Full-text available
In this paper, we investigate a key problem of Narrowband-Internet of Things (NB-IoT) in the context of 5G with Mobile Edge Computing (MEC). We address the challenge that IoT devices may have different priorities when demanding bandwidth for data transmission in specific applications and services. Due to the scarcity of bandwidth in an MEC enabled...
Preprint
Full-text available
Accurately forecasting transportation demand is crucial for efficient urban traffic guidance, control and management. One solution to enhance the level of prediction accuracy is to leverage graph convolutional networks (GCN), a neural network based modelling approach with the ability to process data contained in graph based structures. As a powerfu...
Preprint
Full-text available
In this paper, we investigate a key problem of Internet of Things (IoT) applications in practice. Our research objective is to optimize the transmission frequencies for a group of IoT edge devices under practical constraints. Our key assumption is that different IoT devices may have different priority levels when transmitting data in a resource-con...
Preprint
Full-text available
In this paper, we investigate a key problem of Narrowband-Internet of Things (NB-IoT) in the context of 5G with Mobile Edge Computing (MEC). We address the challenge that IoT devices may have different priorities when demanding bandwidth for data transmission in specific applications and services. Due to the scarcity of bandwidth in an MEC enabled...
Preprint
Full-text available
An intelligent speed advisory system can be used to recommend speed for vehicles travelling in a given road network in cities. In this paper, we extend our previous work where a distributed speed advisory system has been devised to recommend an optimal consensus speed for a fleet of Internal Combustion Engine Vehicles (ICEVs) in a highway scenario....
Article
Full-text available
A key motivation to fasten roll-out of electric vehicles (EVs) to the market is to implement vehicle-to-grid (V2G) functionalities. With V2G in place, EV owners can have an extra freedom to interact their battery energy with power grids, namely, by selling their energy to the grid when their EVs are not in use. On the other hand, EV aggregators and...
Article
Full-text available
As a part of Advanced Driver Assistance Systems (ADASs), Consensus-based Speed Advisory Systems (CSAS) have been proposed to recommend a common speed to a group of vehicles for specific application purposes, such as emission control and energy management. With Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) technologies and advanced contr...
Preprint
Full-text available
As a part of Advanced Driver Assistance Systems (ADASs), Consensus-based Speed Advisory Systems (CSAS) have been proposed to recommend a common speed to a group of vehicles for specific application purposes, such as emission control and energy management. With Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) technologies and advanced contr...
Preprint
Full-text available
This paper describes a system developed to help University students get more from their online lectures, tutorials, laboratory and other live sessions. We do this by logging their attention levels on their laptops during live Zoom sessions and providing them with personalised video summaries of those live sessions. Using facial attention analysis s...
Preprint
Full-text available
With the recent advancement of technologies over the past year, IoT has become a paradigm in which devices communicate with each other and the cloud to achieve various applications in multidisciplinary fields. However, developing, deploying, and experimenting with IoT applications are still tedious, expensive, and time-consuming due to the factors...
Preprint
Full-text available
Wireless networks used for Internet of Things (IoT) are expected to largely involve cloud-based computing and processing. Softwarised and centralised signal processing and network switching in the cloud enables flexible network control and management. In a cloud environment, dynamic computational resource allocation is essential to save energy whil...
Conference Paper
Full-text available
Wireless networks used for Internet of Things (IoT) are expected to largely involve cloud-based computing and processing. Softwarised and centralised signal processing and network switching in the cloud enables flexible network control and management. In a cloud environment, dynamic computational resource allocation is essential to save energy whil...
Preprint
Full-text available
A key motivation to fasten roll-out of electric vehicles (EVs) to the market is to implement Vehicle-to-Grid (V2G) functionalities. With V2G in place, EV owners can have an extra freedom to interact their battery energy with power grids, namely by selling their energy to the grid when their EVs are not in use. On the other hand, EV aggregators and...
Preprint
Full-text available
We present here a general framework and a specific algorithm for predicting the destination, route, or more generally a pattern, of an ongoing journey, building on the recent work of [Y. Lassoued, J. Monteil, Y. Gu, G. Russo, R. Shorten, and M. Mevissen, "Hidden Markov model for route and destination prediction," in IEEE International Conference on...
Article
Full-text available
This paper proposes a congestion balancing parking guidance system that suggests to a driver a sequence of streets to follow around the desired destination with the aim to reduce the total distance that is travelled while searching for a free parking spot. The system requires only limited infrastructure information, and neither requires parking spa...
Article
Full-text available
Traffic-related pollution is becoming a major societal problem globally. Cyclists are particularly exposed to this form of pollution due to their proximity to vehicles' tailpipes. In a number of recent studies, it is been shown that exposure to this form of pollution eventually outweighs the cardio-vascular benefits associated with cycling. Hence d...
Article
Pollution in European cities is becoming a major problem and is requiring new solutions to help protect citizens from the harmful effects of exhaust gas emissions. Hybrid Vehicles (HVs), when working together as a group, have the ability to lower the emissions in an area to a safe level, thus benefiting our cities whilst still giving the vehicle ow...
Conference Paper
Intelligent Transportation Systems (ITS) can be used to involve vehicles and the road infrastructure to cooperatively implement a number of innovative and useful applications. Here, we explore the possibility to adopt a consensus based distributed speed advisory system to determine the optimal recommended speed in urban areas where only electric ve...
Thesis
Full-text available
In this thesis, we mainly discuss four topics on Electric Vehicles (EVs) in the context of smart grid and smart transportation systems. Topic 1 focuses on investigating the impacts of different EV charging strategies on the grid. Topic 2 is s concerned with the applications of EVs with Vehicle-to-Grid (V2G) capabilities. Topic 3 discusses an op...
Article
Full-text available
In recent years, a wide variety of centralised and decentralised algorithms have been proposed for residential charging of electric vehicles (EVs). In this paper, we present a mathematical framework which casts the EV charging scenarios addressed by these algorithms as optimisation problems having either temporal or instantaneous optimisation objec...
Article
Among the many motivations to encourage the use of Electric Vehicles (EVs) there is the attractive possibility to implement Vehicle-to-Grid (V2G) functionalities. They are attractive both for EV owners, who can sell their own energy to the grid when they do not need to travel, and also for the power grid, as the stored energy can be used to back-up...
Conference Paper
In this paper, an application based on the Intelligent Speed Adaptation (ISA) system is proposed to reduce CO2 emissions of vehicles running on the highway. We apply the idea of optimised consensus to solve the emission optimisation problem in a simplified highway scenario through simulation study. Our approach shows that total CO2 emissions of veh...
Conference Paper
Electric Vehicle (EV) technology has developed rapidly in recent years, with the result that increasing levels of EV penetration are expected on electrical grids in the near future. The increasing electricity demand due to EVs is expected to provide many challenges for grid companies, and it is expected that it will be necessary to reinforce the cu...
Conference Paper
Electric Vehicle (EV) technology has developed rapidly in recent years, with the result that increasing levels of EV penetration are expected on electrical grids in the near future. The increasing electricity demand due to EVs is expected to provide many challenges for grid companies, and it is expected that it will be necessary to reinforce the cu...
Conference Paper
Full-text available
The development of appropriate Electric Vehicle (EV) charging strategies has been identified as an effective way to accommodate an increasing number of EVs on Low Voltage (LV) distribution networks. Most research studies to date assume that future charging facilities will be capable of regulating charge rates continuously, while very few papers con...
Conference Paper
Car sharing is a successful commercial application based on the collaborative consumption model. In this paper, we apply a recently proposed idea from a car sharing scheme to solve a fleet dimension problem emerging in utilities with large vehicle fleets. Within this framework, EVs are used to replace Internal Combustion Engine Vehicles (ICEVs) to...
Conference Paper
The development of smart grid technologies and appropriate charging strategies are key to accommodating large numbers of Electric Vehicles (EV) charging on the grid. In this paper a general framework is presented for formulating the EV charging optimization problem and three different charging strategies are investigated and compared from the persp...
Conference Paper
This paper illustrates stochastic distributed algorithms that optimally share the electrical and thermal power generation task among the several Distributed Energy Resources (DERs) within a microgrid. We borrow certain concepts from communication network theory, namely Additive-Increase-Multiplicative-Decrease (AIMD) algorithms, which are known to...
Conference Paper
Full-text available
The development of smart grid technologies and appropriate charging strategies are key to accommodating large numbers of Electric Vehicles (EV) charging on the grid. In this paper a general framework is presented for formulating the EV charging optimization problem and three different charging strategies are investigated and compared from the persp...
Article
Full-text available
Moving from combustion engine to electric vehicle (EV)-based transport is recognized as having a major role to play in reducing pollution, combating climate change and improving energy security. However, the introduction of EVs poses major challenges for power system operation. With increasing penetration of EVs, uncontrolled coincident charging ma...

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