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Keynote Lectures

Active Inference for Distributed Intelligence in IoT and Edge Computing
Schahram Dustdar, Vienna University of Technology, Austria, Austria

Technological Adoption in the Era of Generative AI
Loic Bachelart, Microsoft, France, France

Mobile Internet of Things for Sustainable Urban Mobility
Ana Aguiar, Faculty of Engineering University of Porto/ Instituto de Telecomunicações, Portugal, Portugal

Active Inference for Distributed Intelligence in IoT and Edge Computing

Schahram Dustdar
Vienna University of Technology, Austria

Brief Bio
Schahram Dustdar is Full Professor of Computer Science heading the Research Division of Distributed Systems at the TU Wien, Austria. He holds several honorary positions: University of California (USC) Los Angeles; Monash University in Melbourne, Shanghai University, Macquarie University in Sydney, and University of Groningen (RuG), The Netherlands (2004-2010). From Dec 2016 until Jan 2017 he was a Visiting Professor at the University of Sevilla, Spain and from January until June 2017 he was a Visiting Professor at UC Berkeley, USA. From 1999 - 2007 he worked as the co-founder and chief scientist of Caramba Labs Software AG in Vienna (acquired by Engineering NetWorld AG), a venture capital co-funded software company focused on software for collaborative processes in teams. Caramba Labs was nominated for several (international and national) awards: World Technology Award in the category of Software (2001); Top-Startup companies in Austria (Cap Gemini Ernst & Young) (2002); MERCUR Innovation award of the Austrian Chamber of Commerece (2002). He is founding co-Editor-in-Chief of the new ACM Transactions on Internet of Things (ACM TIoT) as well as Editor-in-Chief of Computing (Springer). He is an Associate Editor of IEEE Transactions on Services Computing, IEEE Transactions on Cloud Computing, ACM Transactions on the Web, and ACM Transactions on Internet Technology, as well as on the editorial board of IEEE Internet Computing and IEEE Computer. Dustdar is recipient of the ACM Distinguished Scientist award (2009), the IBM Faculty Award (2012), an elected member of the Academia Europaea: The Academy of Europe, where he is chairman of the Informatics Section, as well as an IEEE Fellow (2016).

Abstract
Modern distributed systems also deal with uncertain scenarios, where environments, infrastructures, and applications are widely diverse. In the scope of IoT-Edge-Fog-Cloud computing, leveraging these neuroscience-inspired principles and mechanisms could aid in building more flexible solutions able to generalize over different environments. A captivating set of hypotheses from the field of neuroscience suggests that human and animal brain mechanisms result from a few powerful principles. If proved to be accurate, these assumptions could open a deep understanding of the way humans and animals manage to cope with the unpredictability of events and imagination. In this talk, we will explore how Active Inference mechanisms can be utilized for Distributed Intelligence in the Computing Continuum. and in particular for IoT and Edge Computing.

Technological Adoption in the Era of Generative AI

Loic Bachelart
Microsoft, France

Brief Bio
Loïc Bachelart is the General Manager of the Customer Success organization at Microsoft France and a member of its Executive Committee. He is dedicated to helping Microsoft’s customers unlock lasting value from their technological investments. Leveraging a deep understanding of customer needs, Loïc and his teams design and orchestrate tailored journeys, combining technological expertise with a focus on adoption and impact. With a career rooted in technology and transformation, Loïc began at Accenture, where he honed his skills in driving organizational change and managing complex technology programs. Since joining Microsoft, he has been instrumental in shaping its approach to digital transformation, business operations, and customer success. He has built and led teams that empower clients to harness innovation, whether through consulting on large-scale technology initiatives, orchestrating organizational change, or driving the adoption of cutting-edge solutions such as Copilot, Azure Infra, Data & AI, and Application Innovation. Loïc is a visionary leader with a passion for innovation and a unique ability to bridge the gap between technology and business outcomes. His expertise spans architectural design, strategic planning, and change management. In the era of generative AI, he leads with a forward-looking mindset, applying this transformative technology to improve processes, enhance customer experiences, and deliver tangible business value.

Abstract
Since ChatGPT became publicly available, each month brings another announcement of the stunning capabilities of generative AI technologies. Now capable of vision, full-duplex conversation, and autonomy with agents, generative AI promises to boost individual productivity, enhance processes, foster innovation in products and services, and therefore transform organizations and industries. However, the gap between the potential of the technology and the value realized by users and organizations has never been so big. And it looks like this gap will continue to grow given the specific challenges of generative AI adoption. By comparing the adoption of generative AI with past disruptive technologies and sharing learnings from real-life adoption engagements, this keynote will focus on the strategies European organizations can implement to harness the power of generative AI to drive innovation, productivity, and growth.

Mobile Internet of Things for Sustainable Urban Mobility

Ana Aguiar
Faculty of Engineering University of Porto/ Instituto de Telecomunicações, Portugal
paginas.fe.up.pt/~anaa

Brief Bio
Ana Aguiar is Associate Professor at the University of Porto (UPorto) and senior researcher at Instituto de Telecomunicações (IT), where she coordinates the Network and Information Processing Group at IT Porto. She obtained her PhD from TU Berlin and her Licenciatura from UPorto. Her research focuses on networked information systems, concretely connectivity for mobile nodes, mobile data collection, and data science for sustainable mobility. Her current research focus is on the use of AI for enabling unlicensed spectrum for mobile connectivity. She built and the SenseMyCity crowdsensing tool, part of the Porto.LivingLab platforms. She led the VOCE project on voice stress detection, and participated in more than 20 projects, often as co-PI or WP leader. She published more than 90 journal and conference articles, is reviewer for several high rank conferences and journals, and associate editor with Computer Communications and Pervasive and Mobile Computing. In the past, she was the CTO of the startup CooDriver GmbH, a senior researcher at Fraunhofer Portugal AICOS, and an RF and optimisation engineer at cellular operators.

Abstract
The adoption of healthy and environmentally friendly transportation modes is a major goal towards reducing urban mobility’s carbon footprint. This talk will cover various opportunities for the Internet of Things and data can support change to more environmentally friendly urban mobility. This includes several ways to support better mobility planning, as well as better mobility experience in sustainable urban transportation modes. The talk will discuss the use of mobile crowdsensing to learn about the mobility experience, and challenges on using its data. Then, we will cover how smartphones could be used to improve pedestrian danger awareness on the road, discuss how bikes can be connected to each other and applications to improve commuting, and highlight how to deal with usability caveats of WiFi deployments that make travellers’s trips more ammenable on public buses. Finally, after showing that unlicensed spectrum is widely available in urban areas and the talk will show the many opportunities that exist for supporting connectivity of low speed nodes. This talk will cover use cases, technologies and scientific results on Mobile Internet of things for Sustainable Urban Mobility resulting from 10+ years of projects in Porto.