Interdisciplinary Data Science Conference
Interdisciplinary Data Science Conference

Keynote Speakers

VGA_klein

Viola Gallina
Senior Researcher - Fraunhofer Austria

Tentative Title: "Standardization of Digital Product Passport Systems in Europe and Beyond"

Abstract

Profile

Dr. Viola Gallina is a senior researcher in the Factory Planning and Production Management division at Fraunhofer Austria. Her previous research focused on mathematical programming and machine learning. Currently, her work centers on the circular economy, with a particular emphasis on its data-driven aspects. Her main area of focus is the digital product passport. She earned her PhD and MBA from TU Budapest and teaches at TU Vienna.

Ruben Hetfleisch
Lead Generative AI Community - AI Austria / Founder - Klartext AI / Research Associate - Fraunhofer Austria

Tentative Title: "State of Generative AI - Where are we and where do we want to go?"

Abstract

Profile

Ruben Hetfleisch researches at Fraunhofer Austria on generative AI with a focus on the trustworthiness of language models. While being involved in projects ranging from the automation of sustainability reporting to the creation of the first austrian legal LLM, he runs an AI startup that uses generative AI to make complex documents accessible and easy to understand. He also is the founder of the first GenAI-specialized platform in Austria called “GenAI Community by AI Austria”, where his goal is to further push the GenAI ecosystem.

Ruben Hetfleisch
Hilda Kosorus

Hilda Kosorus
Founder & IT Strategist - Onefold.ai

Title: "Agentic AI: Unleashing the Next Wave of Transformation"

Agentic AI represents a groundbreaking technological shift poised to transform business operations in 2025 and beyond.  Imagine AI systems that think, decide, and solve complex problems autonomously, dramatically boosting productivity and reshaping competitive landscapes.

Abstract

This talk is an essential guide for decision-makers and tech leaders to harnessing this technology.
Discover:

  • How Agentic AI will revolutionize industries
  • Practical strategies to implement and leverage AI agents
  • Ways to future-proof your organization and stay ahead of the curve
  • Ethical considerations and best practices for responsible AI adoption

Don't risk being left behind in the AI revolution. Join us to unlock the secrets of Agentic AI and position your business at the forefront of innovation. This isn't just about understanding a new technology—it's about seizing a competitive advantage that will define the next era of business success.
Prepare to lead, not follow, in the age of Agentic AI.

Profile

Founder of Onefold.ai, an AI consultancy dedicated to simplifying AI adoption for businesses. With a Ph.D. in Computer Science and over 15 years of experience in AI and machine learning, I specialize in translating complex AI concepts into actionable strategies. At Onefold.ai, we guide companies from initial blueprints to full-cycle implementations, ensuring AI is accessible and delivers measurable ROI. Our mission is to unlock business potential through a straightforward, no-nonsense approach that drives real-world results and empowers organizations to harness the power of AI effectively.

Simon Hirländer
Team Lead Reinforcement Learning and Smart Analytics - University of Salzburg - IDA Lab

Tentative Title: "From Theory to Practice: Reinforcement Learning as the 21st-Century ML Paradigm"

Abstract

Profile

Dr. Simon Hirländer leads the “Smart Analytics & Reinforcement Learning” team at the IDA Lab of Paris Lodron University Salzburg (PLUS). Following several years of international research at CERN—where he also obtained his PhD—he focused on optimizing complex systems such as the CERN accelerator complex using machine learning, particularly reinforcement learning (RL). In addition, he explores a broad range of RL applications in fields like robotics, telecommunications, and quantum computing. Beyond his research, Dr. Hirländer works closely with local industry partners in Salzburg to implement advanced analytics methods such as anomaly detection, time series analysis, and automated classification processes. He is also actively involved in providing professional training for these partners and lectures at the university on topics including reinforcement learning and data analytics. Together with his team, he strives to translate the latest scientific insights into practical solutions for businesses and industry, and organises international events such as the first international RL Bootcamp, held in Salzburg last year.

Simon Hirländer
CarinaSeidel

Carina Seidel
Head of Data Science & Analytics - Runtastic GmbH

Tentative Title: "Best Practises in Advanced Analytics / Real Life Examples and Use Cases of Data Science Modells"

Abstract

Profile

Carina Seidel is the Head of Data Science & Analytics at Runtastic GmbH, where she leads a team dedicated to leveraging data to enhance user experiences and drive business growth. With extensive experience in data analysis, visualization, and business intelligence, Carina has a proven track record of implementing data-driven strategies to optimize performance and innovation. Her expertise spans various domains, including online marketing and technical leadership.

Stefan Zeppetzauer
Vice President Integrated Diagnostics and Aftersales Transformation / Software Defined Vehicles - KPIT Technologies GmbH

Tentative Title: "Data-Driven Revolution in Software Defined Vehicles: From Insights to Decision-Making"

Abstract

Profile

Highly experienced technology professional with a strong background in computer science and telecommunication & -systems. Born in Salzburg, Austria, I graduated in 2005 with a MSc degree from Halmstad University in Sweden and at the University of Applied Science in Salzburg. My career has spanned over two decades, with early beginnings as a Software Developer at In2Soft GmbH. I joined KPIT Technologies GmbH in 2010, taking on key roles in customer projects and eventually leading the Diagnostic Business Unit globally since 2015. Currently, I oversee both the Diagnostic Business Unit (called iDART) and the Software Products of Technical Engineering in the Automotive SDV segment.

Stefan Zeppetzauer2