Workshop on Intelligent IoT Services and Applications 2025

Universidad Tecnológica de Panamá

Centro Regional de Veraguas

Facultad de Ingeniería de Sistemas Computacionales

Laboratorio de Informática y Sala Galo Chang

Workshop on Intelligent IoT Services and Applications

January 20-24, 2025

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Call for Workshop Contributions

The integration of Internet of Things (IoT) technologies with Artificial Intelligence (AI) and Machine Learning (ML) represents a transformative paradigm, enabling the development of intelligent, adaptive, and resource-efficient systems. When applied synergistically, these technologies facilitate innovations across diverse domains, driving improvements in human well-being and promoting sustainable resource management. Key applications include health monitoring for elderly individuals, environmental monitoring, urban traffic management to address the impacts of climate change, intelligent building automation, and the development of autonomic and connected transportation systems.

The IoT ecosystem comprises an intricate network of interconnected physical devices and virtual components (e.g., software, data), creating a foundation for advanced computational systems. Emerging concepts like digital twins—digital replicas of physical entities—provide powerful tools for real-time simulation, predictive analytics, and operational optimization. IoT devices equipped with advanced sensors generate vast quantities of data. When processed through AI/ML models, this data can yield actionable insights that enable intelligent decision-making and enhance system autonomy.

The integration of edge AI capabilities enables real-time processing and decision-making at the edge of IoT networks, minimizing latency and reducing communication overhead. Recent progress in hardware technologies has also enabled the implementation of AI/ML algorithms directly on resource-constrained IoT devices. These advancements are driving the development of efficient and scalable IoT solutions by overcoming energy, processing power, storage, and communication limitations. Furthermore, integrating IoT with cloud and edge computing architectures ensures a balance between centralized computational power and localized intelligence, enhancing overall system performance and adaptability.

Topics of Interest include, but are not limited to:

• IoT technologies and innovative applications
• Practical IoT deployments and experiential insights
• Industrial IoT systems
• Cyber-Physical Systems (CPS)
• ML for resource-constrained devices
• AI/ML integration in IoT networks
• Distributed ML methodologies, including Federated Learning (FL), Split Learning (SL), and Gossip Learning
• Cloud and Edge computing architectures for IoT
• Security frameworks for IoT and cloud environments
• Edge AI innovations
• Vehicular IoT networks
• Blockchain applications for IoT ecosystems
• Digital Twins in IoT Scenarios
• 5G and beyond native AI Integration and machine-type Communications
• Programming paradigms for intelligent IoT applications and systems
• Energy efficiency and optimization in IoT deployments
• IoT security challenges and solutions
• Smart metering systems and their implications

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 Workshop will include virtual presentations as part of its hybrid format.
• 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, etc) should be described using Microsoft Forms.

Registration for attendees without contributions can be done using Microsoft Forms.

Dates:

• Submission Deadline for Contributions: January 13, 2025
• Notification of Acceptance: January 14, 2025
• Workshop: January 20-24, 2025

Contact:

Prof. Carlos Rovetto, carlos.rovetto@utp.ac.pa

Prof. Dr. Torsten Braun, torsten.braun@unibe.ch

Program

Virtual Meetings | Microsoft TEAMS | January 20 - 23, 2025

Monday, January 20, 2025

Tuesday, January 21, 2025

Wednesday, January 22, 2025

Thursday, January 23, 2025

Friday, January 24, 2025