Keynote Speakers

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Abstract:As Industrial Internet of Things (IIoT) environments evolve toward decentralized edge computing, securing the intersection of Operational Technology (OT) and Information Technology (IT) requires a multi-faceted approach to intelligence and observability. This keynote presents a suite of advanced research contributions designed to empower resource-constrained industrial devices while ensuring the integrity of collaborative security operations.
The core of this work is a lightweight “supermodel” architecture rooted in Deep Transfer Learning. By repurposing Google BERT for context-aware semantic feature extraction from raw network traffic, the framework enables the creation of highly compact (3.10 MB) classifiers capable of generalizing across diverse datasets with 99% accuracy. This hierarchical approach shifts training complexity to powerful edge nodes, allowing IoT devices to deploy robust, pre-trained intelligence that adapts to evolving threat patterns in real-time without the need for extensive local computation.
To manage this distributed intelligence, we introduce a decentralized governance protocol leveraging Blockchain and IPFS. This layer ensures model confidentiality via ECDH-based key wrapping and immutably records model lineage to track provenance across untrusted nodes. Furthermore, a mandatory pre-publication screening gate is integrated to identify and block malicious code or unsafe artifacts before they can be disseminated across the network.
Complementing these core advancements, we also explore an independent methodology for real-time visibility using extended Berkeley Packet Filter (eBPF) technology. By utilizing XDP hooks to capture network events directly at the Linux kernel layer with near-zero performance impact, the system provides high-fidelity telemetry to Machine Learning-enhanced SIEM platforms. This enables the rapid detection of volumetric threats like SYN-flood DDoS attacks, offering a scalable roadmap for fortifying modern industrial infrastructure.
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Dr. Cassioli is the Chair of the Technical Working Group (TWG) on “Propagation Channels for Next Generation Wireless Systems and Emerging Deployment Scenarios” and Chair of the SiG on Distributed and Massive MIMO of the IEEE P1944 Standard for Channel Models of Wireless Systems, both within the IEEE Communications Society. She also serves as the Diversity, Equity and Inclusion Activity Coordinator of the IEEE Italy Section. She is the Past Chair of the IEEE WIE AG Italy Section from 2016 to 2022 and the IEEE VT06/COM19 Italy Chapter from 2011 to 2017. She served as the Chair of the IEEE ComSoc RCC SiG on Propagation Channels for 5G&B from 2021 to 2025. Since 2015, she is the Coordinator of the University of L’Aquila Node of the CINI National Laboratory of Cybersecurity, where she led the CyberEquality WG from 2020 to 2021. She has been awarded the ERC StG VISION (Video-oriented UWB-based Intelligent Ubiquitous Sensing) in 2010 and the ERC PoC Grant iCARE (MobIle health-Care system for monitoring toxicity and symptoms in Cancer patients Receiving Disease-Oriented Therapy) in 2016. She was the CEO in 2014–2018, and 2019 of the spin-off of the University of L’Aquila “Smartly: Natives of Smart Living srl,” which designs and markets advanced ICT solutions to improve the quality of life. She served as the Co-Chair for Globecom 2025 WC, ICC 2024 MWN, ICC 2023 CISS, PIMRC2018 Industry, RTSI WIE Chair in 2018, 2019, and 2020, MELECON2020 and MetroInd4.0, and the TPC member of several International Conferences, including ICC, PIMRC, VTC, and GLOBECOM. She participated in the definition of the standard channel model for the IEEE 802.15.4 standard in 2005. She is an Associate Editor of IET Electronic Letters, and an Executive Editor of WILEY INTERNET TECHNOLOGY LETTERS and Transactions on Emerging Telecommunications Technology and served as an Associate Editor for IEEE COMMUNICATIONS LETTERS from 2018 to 2022.
Built around three foundational pillars (Governance, Practices, and Technology), UCG’s strategy unites strategic leadership, faculty capability‑building, and a robust digital infrastructure to enable responsible and sustainable AI adoption. The session showcases practical use cases across the student journey: AI literacy programs, AI‑enabled pedagogy, adaptive learning, intelligent tutoring, AI‑assisted assessment, immersive virtual‑reality simulation, and predictive analytics for student success.Beyond the technologies, the keynote explores the organizational change required to implement AI at scale: the faculty empowerment, data‑driven decision‑making, and culture of continuous innovation that make transformation stick. Participants will leave with practical insights into how higher‑education institutions can leverage AI to enrich learning experiences, improve academic outcomes, and equip graduates with the competencies demanded by the future of work.
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MGA Representative on the Humanitarian Technologies Board (HTB)
HTB SIGHT Global Chair
IEEE SIGHT Tunisia Section Chair
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