1. Prof. Eryk Dutkiewicz (UTS, Australia) – IoT with Blockchain for Security and Trust: Technologies, Applications, Benefits and Challenges
2. Prof. Minh Do (UIUC, US) – Video Surveillance
3. Prof. Dusit Niyato (NTU, Singapore) – Privacy Management and Optimal Pricing in People-centric Sensing
4. Prof. Massimo Piccardi (UTS, Australia) – Artificial Intelligence and Machine Learning for Industry 4.0
5. Prof. Stuart Perry (UTS, Australia) – Virtual and Augmented Reality to Enable Industry 4.0
6. Dr. Diep N. Nguyen (UTS, Australia) – Industrial Internet of Things and its Applications
7. Dr. Hoang Dinh (UTS, Australia) – Cybersecurity for IoT Industry 4.0
8. Dr. Takeshi Takahashi (NICT, Japan) – Enhancing Cybersecurity with Visualization, Automation, and Machine Learning Techniques
9. Dr. Yang Yang (UTS, Australia)

Information about Lectures for RS2019:

1) Dr. Diep N. Nguyen (UTS, Australia)
Title of Lecture: Industrial Internet of Things and Its Applications
Abstract: This lecture provides an overview of industrial internet of things (IIoT) and its applications to facilitate human lives, improve productivity in manufacturing, logistics, energy management. We will discuss about smart transportation, smart grid, UAV applications and its enabling technologies, e.g., massive machine type communications, ultra-reliability and low latency communications (URLLC). The lecture also presents example demos of URLLC and IIoT in manufacturing automation. We also show how robots designed by UTS work in the field.

2) Prof. Stuart Perry (UTS, Australia)
Title of Lecture: Virtual and Augmented Reality to Enable Industry 4.0
Abstract: A key aspect of Industry 4.0 will be the enabling of effective decentralised decision making by both humans and machines in highly flexible design and manufacturing environments.  Achieving this will require new mechanisms for presenting information, instructions and data to human beings and receiving commands from human operators in highly complicated and potentially dangerous environments. Virtual and Augmented Reality technologies are ideally suited to bridge the gap between human and machine in a manner that is flexible and mobile enough to achieve the goals of Industry 4.0. In this talk we will discuss the basics of Virtual and Augmented technologies and discuss the ways that this technologies can be applied to Industry 4.0.
 
3) Dr. Hoang Dinh (UTS, Australia)
Title of Lecture: Cybersecurity for IoT Industry 4.0
Abstract: In Industry 4.0, IoT operates as a “bridge” to connect physical systems to the cyber world, and it enables manufacturing ecosystems driven by smart systems with autonomic self-properties, e.g., self-configuration, self-monitoring, and self-healing. With IoT, Industry 4.0 will allow us to achieve breakthrough achievements in many sectors, such as healthcare, food, and agriculture. For example, Industry 4.0 enables the food manufacturing sector to boost the operational productivity, reduce the production costs, and improve clean, safe and quality of products. However, when Industry 4.0 is connected to the cyber world, cybersecurity risks become a key concern due to open systems with IP addresses creating more avenues for cyberattacks. According to the 2016 Symantec Internet Security Threat Report, the manufacturing sector remained among the top 3 industries targeted by spear phishing attacks, suffering about 20% of all attacks. More seriously, for sensitive sectors, such as, healthcare and food industry, cybersecurity risks can cause serious effects to the human’s lives. Therefore, countermeasures and risk mitigation solutions for cybercrime impacts are urgently in need. Therefore, this lecture will discuss emerging issues and introduce potential solutions for cybersecurity in IoT Industry 4.0.
 
4) Prof. Massimo Piccardi (UTS, Australia)
Title of Lecture: Artificial intelligence and machine learning for Industry 4.0
Abstract: Artificial intelligence (AI) and machine learning are set to significantly change society in the coming decade. This lecture starts with an introduction to AI and machine learning, their current trends, and their potential for Industry 4.0. It then moves on to present an overview of machine learning (inference, models, training), with focus on classification and intuitive examples. The last unit provides an introduction to deep learning (with examples from activity recognition in video and natural language processing) and a brief description of reinforcement learning.

5) Dr. Takeshi Takahashi (NICT, Japan)
Title of talk: Enhancing Cybersecurity with Visualization, Automation, and Machine Learning Techniques
Abstract: To cope with growing cyber threats, we need to further develop cybersecurity techniques. We have been working on these by developing visualization, automation, and machine learning techniques. Visualization techniques support operators by facilitating analytical work including malware trend analysis, automation techniques enhance the capability of operators by minimizing the workload of human operators, and machine learning techniques assist judgment and decisions of operators. In this talk, I will explain our activities in these fields.