Workshop on Intelligent IoT Services and Applications 2023
Internet of Things (IoT) technology and Artificial Intelligence (AI) / Machine Learning (ML) are emerging technologies that can be used jointly in various application scenarios to improve the life of humans and support sustainable use of resources. Concrete examples are monitoring of elderly people, environmental and traffic monitoring in cities and urban environments to investigate measures dealing with the effects of climate change and urban heat islands, intelligent building control and automation, intelligent and autonomic transport systems etc.
The IoT is made from both physical and virtual objects (software, data). One emerging technology is digital twins representing physical objects and simulating their behavior in the virtual world. Moreover, physical objects such as IoT devices can collect huge amounts of sensed data that have to be processed and from which by using AI/ML, models for intelligent control actions can be derived. Progress in hardware circuit developments enable the implementation of AI and ML at least partly on IoT devices, which typically have limited energy, processing, storage, and communication resources.
Topics of Interest include, but are not limited to:
- Internet of Things (IoT) technologies and applications
- IoT deployments and practical experiences
- Industrial IoT
- Cyber-Physical Systems (CPS)
- ML on resource-constrained devices
- ML in IoT networks
- Distributed ML including Federated Learning (FL), Split Learning (SL), Gossip Learning
- Cloud and Edge computing for IoT
- IoT and cloud security
- Edge AI
- Vehicular networks
- Blockchain for IoT
- Digital Twins for IoT
- 5G and beyond, including native AI support and machine-type communications
- Programming support for intelligent IoT applications and systems
- Energy Issues in the IoT
- IoT Security
The workshop aims to include different kinds of events. Examples are
- Keynote talks
- Research presentations (approx. 30 minutes, including questions)
- Poster presentations in poster sessions
- Tutorials (max. 1/2 day)
- Hands-on exercises or hackathons (1/2 -1 day)
- Panel discussions
Workshop format:
- In-person workshop.
- The official workshop language is English.
The workshop targets
- Researchers, teachers, and practitioners from academia and industry, in particular, SMEs
- Students at universities at all levels (Bachelor, Master, PhD)
- Decision makers from public administration and industry
Participants will receive certificates for participation.
Potential event contributions (e.g., talk, panel session, poster presentation) should be described using Microsoft Forms.
Registration for attendees without contributions can be done using Microsoft Forms.
Dates:
Submission Deadline for Contributions: July 21, 2023
Notification of Acceptance: July 28, 2023
Workshop: August 7-9, 2023
Contact:
Prof. Aris Castillo, aris.castillo@utp.ac.pa
Prof. Dr. Torsten Braun, torsten.braun@unibe.ch
Program
Monday, August 7, 2023
Time | Content | Room |
---|---|---|
13.00 - 13.15 | Welcome | 3-302 |
13.15 - 14.15 | Session 1: Machine Learning for Ecology Applications (chair: Aris Castillo) | 3-302 |
Kenji Contreras Ynao: Deep Learning Applications in Ecology: Unsupervised demographic analysis using bio-acoustic signals and UAV monitoring of the Antillean Manatee in Panama | ||
Edwin Alexis Rios Julio: Embedded signal processing and machine learning applied in IoT solution for the detection of manatee bio-acoustic signals | ||
14.15 - 14.45 | Coffee break | |
14.45 - 15.45 | Session 2: Machine Learning and Feature Detection (chair: Torsten Braun) | 3-302 |
Xavier Trujillo: Nvidia DGX A100: Architecture and Applications for Machine Learning in the Internet of Things | ||
Javier Sanchez Galan: Automatic Feature Detection of Water Melons - an open opportunity for Industry 4.0 | ||
15.45 - 16.15 | Coffee break | |
16.15 - 17.00 | Session 3: Panel (chair: Aris Castillo) | 3-302 |
Aris Castillo, Humberto Rodriguez, Ernesto Garcia: SENSUS - RG. Smart Environment for Sustainability and Human Well-being Research Group |
Tuesday, August 8, 2023
Time | Content | Room |
---|---|---|
9.00 - 12.30 | Session 4: Session Programming Tutorial, Part I | 3-405 |
Ernesto Garcia: From Arduino to the Cloud: Sensing Data and Applying AI Please read this file beforehand. Additional files: LEDNANO: https://drive.google.com/drive/folders/1BRqSsSOaQ_L8LET1rjKrYEkH1Z0R0e3M?usp=sharing PROXIMITY with Node-Red and Ubidots: https://drive.google.com/drive/folders/1ucrhb8GgOzA4IdGk9JMSc6SzBhiitIUA?usp=sharing |
||
12.30 - 13.30 | Lunch Break | |
13.30 - 15.00 | Session 5: NFC and IoT Devices (chair: Torsten Braun) | 3-405 |
Paulo Picota and Gabriel Escudero: Analysis and Development of Intelligent Portable Devices for the Assistance and Monitoring of Elderly People | ||
Chi Fung: Application of NFC Tags in the Form of Smart Student Cards for Class Attendance | ||
Torsten Braun: A Low-Cost LoRaWAN Sensor Network for Analyzing Urban Heat Islands | ||
18.00 - 21.00 | Workshop Dinner at Tinajas restaurant |
Wednesday, August 9, 2023
Time | Content | Room |
---|---|---|
9.00 - 12.00 | Session 7: Programming Tutorial, Part II | 3-405 |
Ernesto Garcia: From Arduino to the Cloud: Sensing Data and Applying AI
The Audio data set for KWS can be downloaded here. |
||
12.00 - 13.00 | Session 8: Sensor Networks (chair: Aris Castillo) | 3-405 |
Luis Caballero: Development of a Noise Control and Monitoring Sensor Network | ||
Robert Lu Zheng: Prototyping an infrastructure based on Delay Tolerant Network protocol for the transit card balance update in Panama’s Metrobus system | ||
13.00 | Farewell and final remarks |