Tutorial Title 1: IoT and Machine Learning: Beyond Automation
Date: Wednesday, November 15, 2023
Time: 3:30 PM - 6:45 PM
Venue: Hotel Riu Plaza, Panama City, Panama
Room: Amsterdam
Lecturer(s): Ernesto García, Universidad Tecnológica de Panamá
Duration: 3 hours.
Requirement: Participants should bring a laptop computer with USB port with ARDUINO IDE (https://www.arduino.cc/en/
Abstract: The Internet of Things (IoT) has become an essential component of Industry 4.0. IoT devices and sensors are used to collect real-time data from machines, equipment, and work environments. This has allowed the industry to optimize production, monitor various processes remotely, predictive maintenance and greater visibility in the supply chain. However, this automation and connectivity offered by IoT suffers from limitations as it is not able to make decisions in situations that have not been predefined. Current trends seek to ensure that machines and devices can learn and respond automatically to situations. One of the technologies that aims to fill this gap is Machine Learning (ML).
ML is an Artificial Intelligence tool through which a model can be trained, tested and implemented in order to provide capacity to devices for classification and/or anomaly detection. For this, there are programming languages that are widely used for these tasks, such as Python and R. The combination of IoT and ML opens new horizons and requires professionals who have additional knowledge to program machine learning algorithms, which includes having mastery in inferential statistics, probability, linear algebra among others, which could make the learning curve longer and therefore the time to implement these capabilities in IoT devices. Fortunately, today there are tools aimed at facilitating the creation of machine learning models in a user-friendly way and without much knowledge. This allows people without much knowledge to gradually venture into ML and, on the other hand, allows those who already have experience in ML to create their models and modify them in detail.
This is why this tutorial aims to present, guide and demonstrate to participants the entire process of building a machine learning model for pattern classification through the Edge Impulse web tool. This includes all the phases of collecting the data sets, training the model, testing the model and its implementation on an IoT device called Arduino NANO Sense BLE. In this way, participant will experience the great advantages that this tool offers, such as: ease of use, compatibility with a variety of sensors and hardware, model optimization and a focus on low energy consumption devices, which makes it a attractive choice for machine learning projects.
Tutorial Title 2: Unveiling Privacy and Data Protection Issues from the Use of Social Media and Online Advertising Platforms
Date: Thursday, November 16, 2023
Time: 3:30 PM - 6:45 PM
Venue: Hotel Riu Plaza, Panama City, Panama
Room: Amsterdam
Lecturer(s):
Ángel Merino, Universidad Carlos III de Madrid.
Francisco Caravaca, Universidad Carlos III de Madrid.
Ángel Cuevas, Universidad Carlos III de Madrid.
Rubén Cuevas, Universidad Carlos III de Madrid.
Duration: 3 hours.
Abstract: Social Media platforms on the Internet are a huge source of information, often very useful for research purposes. An important part of these platforms is their advertising ecosystem, as these platforms rely on obtaining information from their users to offer advertisers accurate user targeting based on that information. Therefore, we have leveraged the automatic collection of data to conduct different research works related to user privacy on these platforms, such as user uniqueness and over profiling. In this tutorial, you will learn how to face the process of obtaining information from different types of online services by automatic means, and how this information is useful for researching.
