Programme
The Ital-IA 2026 programme spans two days. Thursday, 18 June 2026 will be dedicated to the thematic workshops, while Friday, 19 June 2026 will host the plenary session in the morning and the Doctoral Consortium in the afternoon.
The detailed timetable will be published soon. The structure currently planned is outlined below.
Thursday, 18 June 2026
Ital-IA 2026 Workshops
The entire Thursday programme will be devoted to the conference workshops, with parallel sessions focused on the main research and application areas of artificial intelligence.
Friday, 19 June 2026
Morning: Plenary Session
Afternoon: Doctoral Consortium
The plenary session will feature a round table moderated by Alessio Jacona, followed by a workshops summary coordinated by Carlo Sansone. In the afternoon, the Doctoral Consortium will include presentations of doctoral work and a thematic lecture on rapid LLM application development for a medical use case.
Plenary Session
The morning plenary session will revolve around a round table involving representatives from academia, scientific societies, and industry.
Moderator: Alessio Jacona
Alessio Jacona is a journalist, host and photographer. For more than 20 years he has covered technology, innovation and the impact of the digital revolution on public and private life. He writes for Corriere della Sera, Wired and Italian Tech; for ANSA he created and curates the Artificial Intelligence Observatory, a channel dedicated to AI news and analysis.
Cosma Belli
Southern & Western Europe Director | Country Manager, Italy | Quantum Computing for HPC & AI | IQM Quantum Computers
Cosma Belli is Southern & Western Europe Director and Country Manager for Italy at IQM Quantum Computers. He has more than 20 years of IT experience in technical engineering and business development roles for multinationals, software companies and system integrators, with a focus on adopting new technologies and quantum computing for HPC and AI.
Andrea Orlandini
President of AIxIA
Andrea Orlandini is a Senior Researcher at the Institute of Cognitive Sciences and Technologies of the National Research Council of Italy and President of AIxIA. His research spans automated planning, cognitive robotics and human-machine interaction, with attention to dialogue among research, industry and civil society.
Sebastiano Battiato
CVPL Delegate for IAPR
Sebastiano Battiato is Full Professor of Computer Science at the University of Catania. His work focuses on computer vision, multimedia forensics and imaging technologies applied to industrial and consumer contexts; he teaches Computer Vision and Digital Forensics.
Domenico Convertino
Senior Vice President at HCLTech
Domenico Convertino is Senior Vice President, Communications Technology Group, at HCLTech. He has long-standing experience in telecommunications, OSS/BSS, IT service management and network automation, developed through product management and digital transformation roles.
Giuseppe Fiameni
NVIDIA AI Technology Center EMEA
Giuseppe Fiameni is a senior solutions architect specialized in AI and accelerated computing at NVIDIA, where he manages the NVIDIA AI Technology Center programme in EMEA. He holds a PhD in Computer Engineering, has high-performance computing experience including work at CINECA, and focuses on AI, HPC and scientific data analysis.
Maurizio Stumbo
Head of the Infrastructure, Data Center and Cyber Security Division, Sogei
Maurizio Stumbo is an ICT manager with experience in digital transformation for the public administration. He joined Sogei in 2022 and has led areas related to digital services, infrastructure and data centers; previously he was Director of Information Systems at LAZIOcrea and Vice President of Assinter with responsibility for digital health services.
Workshops Summary
The plenary session will also include a workshops summary coordinated by Carlo Sansone, Director of the CINI-AIIS National Laboratory.
Doctoral Consortium
The afternoon Doctoral Consortium will include presentations of doctoral research and an application-oriented lecture for the research community.
The session will offer participants an opportunity for scientific exchange on emerging AI topics, supporting discussion around ongoing research projects and interaction among PhD students, faculty members, and invited speakers. More information is available on the dedicated Doctoral Consortium page.
NVIDIA workshop on Rapid Application Development with LLMs and a Medical Use-case
Recent advancements in Large Language Models (LLMs) are transforming many sectors including Healthcare and Medicine. This hands-on workshop offered by NVIDIA sponsored curriculum is designed to help developers quickly build and deploy LLM-powered applications by leveraging the vast open-source ecosystem. Participants will explore the full development lifecycle, from understanding transformer architectures and tokenization to implementing sophisticated agentic workflows. The workshop will finish with a medical expert system use-case demonstration.
The session aims to provide practical experience for developers with the Hugging Face Transformers API for tasks such as semantic analysis, zero-shot classification, and question-answering. Beyond text, attendees will delve into multimodal architectures, including CLIP and diffusion models, to integrate images and audio into their AI workflows. Finally, the workshop covers advanced orchestration using LangChain and LangGraph to build environment-aware agents capable of executing complex, real-world tasks.
This activity is part of the Doctoral Consortium programme as a training session focused on rapid development of LLM-based applications.
Eyup Cinar
Eskisehir Osmangazi University and NVIDIA University Ambassador
Eyup Cinar is an Associate Professor in the Department of Computer Engineering at Eskişehir Osmangazi University, Türkiye. He earned his PhD in Microsystems Engineering from Rochester Institute of Technology and worked in the United States as a Senior Engineer at GLOBALFOUNDRIES and later as a Senior Data Scientist at ASML-HMI. He is an NVIDIA University Ambassador, certified NVIDIA Deep Learning Institute instructor and PyTorch Ambassador; his research focuses on AI-based methods, including deep learning, machine learning and data science for intelligent systems.