Special Sessions

This talk will explore the advancements in wireless technologies shaping the future of Industrial IoT systems for enhanced connectivity, efficiency, and scalability for Agriculture.

This talk will introduce the IoTBench a comprehensive benchmark framework designed to evaluate and compare the performance of low-power wireless IoT devices technologies, aiming to standardise performance metrics and guide future developments in IoT ecosystems.
 

Collection and analysis of data from deployed networks is essential for understanding communication networks. Collected traffic traces are used to classify network anomalies such as Internet worms, viruses, power outages, ransomware events, and infrastructure failures in times of conflict. Various anomaly and intrusion detection approaches based on machine learning have been employed to develop models based on collected datasets. The reported results indicate that while performance of machine learning models greatly depends on the used datasets, they are viable tools for detecting the Internet anomalies.

Artificial Intelligence (AI) is poised to revolutionize society, yet its escalating energy demands pose a formidable challenge to its long-term sustainability. The staggering gap in energy consumption between biological (Human Brain @20watts) and artificial intelligence (ChatGPT @100KWatts) is striking. My research aims to bridge this gap with a bio-inspired, integrative approach, where algorithm-hardware co-design and neuromorphic computing converge to create intelligent, energy-efficient systems. In this talk, I will talk about my group’s recent efforts towards enabling and democratizing spike-based machine intelligence design, simulation, and evaluation across different applications.