Details
Half-day webinar
CPD Credit: 2 hours, C1 / C2 / C3
Course Overview
An introduction to the use of Internet of Things technologies in Engineering Projects.
In Partnership With:
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)
Nimbus@MTU
The Nimbus Research Centre is at the forefront of cyber-physical systems (CPS) and Internet of Things (IoT) research, innovation and learning. We develop technologies, for Irish Industry and with international partners, that address the real needs of industry, people and society. This Role of IoT in Energy Sector course is a half day course designed showcase the varied use cases for IoT in the energy sector and in energy management.
Overview
The world around us is becoming more and more connected from controlling the lights in our houses to knowing when the next bus is going to arrive, but what does it really mean and how can we make more use of this technology in our projects? This 2-hour webinar will give you an introduction to what the Internet of Things means and an introduction to the variety of ways it can be utilised in Engineering projects.
Programme
Welcome and Overview
IoT Overview for Engineering | Professor John Barrett, Head of Centre & Academic Affairs
Data analytics and visualisation of IoT Engineering Data | Christian O’Leary, Senior Researcher (AI)
Data Analytics applies to real world research and industrial application | Quang An Phan, Researcher
Trainer Profiles
John Barrett
Prof. John Barrett is Head of Academic Studies at the Nimbus Research Centre. In this role, he manages academic activity including postgraduate research quality, undergraduate projects, the Nimbus Summer Internship Programme, and delivery of teaching by the research centre staff. John’s research area is the miniaturisation, packaging and reliability of embedded wireless sensing systems, particularly for operation in harsh and rugged environments. This lies at the physical layer of hyperconnectivity and focuses on ensuring that the fundamental hardware building blocks of hyperconnected networks function reliably while meeting demanding application requirements. He is a member of and has acted as Chair of the CIT Postgraduate Research Board and is also a member of the CIT Academic Council and the CIT Research and Innovation Committee. He is an Academic Research Associate of Tyndall National Institute. He is also active in communication of emerging technologies to a wide variety of audiences and has acted as an invited keynote and expert speaker at events across the world. His TEDxCIT talk on the Internet of Things has over half-a-million views. He shares his experience in public speaking through his CIT Communication Skills training module.
Christian O’Leary
Christian O’Leary is a senior researcher in Artificial Intelligence (AI) at the Nimbus Research Centre with interests in Machine Learning, Optimisation and Multi-Agent Systems. Working within Nimbus’ software team, he has worked on applications involving Computer Vision, Forecasting, Anomaly Detection, Chatbots, Sentiment Analysis and Schedule Optimisation. He has been a Principal Investigator managing some of Nimbus’ Cyber-Security projects and also has experience as a full stack developer working with a range of domains including smart microcontrollers, cloud deployments (AWS, GCP, Azure), desktop applications and web applications. He has completed a MSc in Artificial Intelligence from CIT (2020) with a thesis on using Capsule Networks for Day-Ahead Electricity Price Forecasting. He also completed a BSc in Computer Science at UCC (2017) with a project on Multi-Agent Communication in a Search Situation. He has previously worked in Johnson Controls (formerly Tyco) as a Software Engineer. His research interests include: AI, Machine Learning, Deep Learning, Reinforcement Learning, Metaheuristics, Decision Analytics, Image Processing, Time Series Modelling, NLP, Multi-Agent Systems, Software Architecture and Design.
Quang An Phan
Quang An Phan is a researcher at the Nimbus research centre with interests including renewable energy, micro-grids, energy management and system optimisation methodologies. He currently forms part of the Data Analytics team within Nimbus with expertise in python, matlab, battery modelling, parameter forecasting, system scheduling, micro-grid optimisation and AI trustworthiness. In 2006, Quang An received his BEng in Electrical and Electronic Engineering at Ho Chi Minh City University of Technology, Vietnam. In 2007, he completed his master’s degree in electrical engineering at the Institute National Polytechnique de Toulouse, France. His master thesis comprised a study by simulation of a hybrid photovoltaic (PV) system. Subsequently, after being awarded a RíSAM PhD scholarship, he has completed his doctorate in Energy Management from the Cork Institute of Technology (CIT), Ireland, in 2020 with a thesis on developing optimisation methodologies for a micro-grid integrated with renewable energy sources and auxiliary battery backup supply.
Please contact the Team for further information on scheduled course dates and In-Company options. You can reach us by phone: 01 665 1305 or email cpdtraining@engineersireland.ie