archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talks Series] Integrating Domain Knowledge with ML/AI Efficiently for Complex Systems Design and Operation

Dates
2025-01-21 12:30 - 14:30
Venue
Artemidos 1 - Amphitheater

Title: Integrating Domain Knowledge with ML/AI Efficiently for Complex Systems Design and Operation

 

Speaker:  Professor John S. Baras (Institute or Systems Research and Department of Electrical and Computer Engineering University of Maryland College Park, USA)

 

Abstract: The complexity of systems has increased dramatically. As a result, it is not feasible to construct accurate models for many system components. We now have large datasets and advances in ML and AI that can be used in Systems Science and Engineering problems. We propose an Integrated Data-Driven (ML and AI) and Model-Based Systems Engineering (IDDMBSE) framework for the design of autonomous robotic systems. Such designs for specific use cases require careful co-design of both the hardware and the software elements with multiple domain-specialist teams working on different aspects of the system often without the knowledge of concurrent changes being implemented by a different team. Developing such complex systems can significantly benefit from a formalized process that can provide a unified framework for the design of the system. The Model- Based Systems Engineering (MBSE) framework was introduced precisely to tackle this problem through the use of Systems Modeling Language (SysML) as the unifying tool for modeling and managing requirements, structure, and behavior of the system and guiding the overall design process through design optimization and verification using co-simulation. However, the need for autonomy in robotic systems has resulted in the incorporation of data-driven algorithms and techniques in the autonomy stack that cannot be fully captured in the conventional MBSE framework. Our framework addresses this challenge of designing systems by integrating model-based and data-driven techniques. We have developed a novel methodology and three software tools, PERFECT, TRADE-X and VERITAS towards this end. Our IDDMBSE framework is general and can be applied to many autonomous systems. We demonstrate the theory and the tools in two use cases: robust and safe path planning for autonomous vehicles, safe and robust robotic manipulation tasks.

 

Short Bio: John S. Baras is a Distinguished University Professor, holding the Lockheed Martin Chair in Systems Engineering, in the Institute for Systems Research (ISR) and the ECE Department at the University of Maryland College Park (UMD). He received his Ph.D. degree in Applied Mathematics from Harvard University, in 1973, and he has been with UMD since then. From 1985 to 1991, he was the Founding Director of the ISR. Since 1992, he has been the Director of the Maryland Center for Hybrid Networks (HYNET), which he co-founded. He is a Fellow of IEEE (Life), SIAM, AAAS, NAI, IFAC, AMS, AIAA, Member of the National Academy of Inventors (NAI) and a Foreign Member of the Royal Swedish Academy of Engineering Sciences (IVA). Major honors and awards include the 1980 George Axelby Award from the IEEE Control Systems Society, the 2006 Leonard Abraham Prize from the IEEE Communications Society, the 2017 IEEE Simon Ramo Medal, the 2017 AACC Richard E. Bellman Control Heritage Award, and the 2018 AIAA Aerospace Communications Award. In 2016 he was inducted in the University of Maryland A. J. Clark School of Engineering Innovation Hall of Fame. In June 2018 he was awarded a Doctorate Honoris Causa by his alma mater the National Technical University of Athens, Greece. His research interests include systems, control, optimization, autonomy, machine learning, artificial intelligence, communication networks, applied mathematics, signal processing and understanding, robotics, computing architectures, formal methods, network security and trust, systems biology, healthcare management, model-based systems engineering. He has been awarded twenty patents and honored with many awards as innovator and leader of economic development.

 



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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
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Archimedes Talk by Alexandra Meliou on "Data Analysis and Manipulation through a Constrained Optimization Lens"

On Tuesday 4 November, 2025, from 1:00 pm to 2:00 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Professor Alexandra Meliou, Professor at the College of Information and Computer Sciences at the University of Massachusetts Amherst, USA, and a visiting researcher at the Archimedes Research Center, Athena Research Center, Greece, will deliver an Archimedes talk on "Data Analysis and Manipulation through a Constrained Optimization Lens."

Exploring the Frontiers of AI and Biomechanics at ICIST 2025

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Archimedes, Athena Research Center, Greece is happy to see its work being featured at the 15th International Conference on Information Society and Technology (ICIST 2025), at Kaunas University of Technology, Lithuania, through an invited keynote speech by Dr. Serafeim Moustakidis, titled: “Bringing Biomechanics into the AI Era: A New Frontier for Gait and Joint Health.”

Archimedes Talk by Manos Athanassoulis on

Archimedes Talk by Manos Athanassoulis on "Harnessing the Untapped Benefits of Near-Sortedness for Data Systems"

On Tuesday 21 October, 2025, from 1:00 pm to 2:00 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Professor Manos Athanassoulis, Associate Professor of Computer Science at Boston University (BU), USA, Director and Founder of the BU Data-intensive Systems and Computing Laboratory, BU, USA, and Co-Director of the BU Massive Data Algorithms and Systems Group, BU, USA, will deliver an Archimedes talk on "Harnessing the Untapped Benefits of Near-Sortedness for Data Systems."

GameSec 2025 just Around the Corner!

GameSec 2025 just Around the Corner!

The 16th Conference on Game Theory and AI for Security (GameSec25), an event strongly supported by Archimedes, Athena Research Center, Greece will take place at the National Technical University of Athens, Greece from October 13-15 2025. "With the rapid advancement of artificial intelligence, game theory, and security technologies, the resilience and trustworthiness of modern systems is more critical than ever. The 2025 Conference on Game Theory and AI for Security focuses on leveraging strategic decision-making, adversarial reasoning, and computational intelligence to address security challenges in complex and dynamic environments.

11 Papers Accepted at NeurIPS 2025!

11 Papers Accepted at NeurIPS 2025!

We are happy to announce that 11 papers from Archimedes, Athena Research Center, Greece, have been accepted at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)!NeurIPS is a major annual event in the artificial intelligence and machine learning community and this year it will take place from December 2 to December 7 at the San Diego Convention Center, California, USA.

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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