Modern, Generative and Explainable AI techniques in Resource-limited enviroments

We are happy to contribute our expertise and take important role in the preparation stage of a proposal.

Expertise in

(1) Fundamentals and LLM and GenAI implementations (especially inference and Fine-Tuning) on resource-limited devices

(2) LLM load management techniques e.g. scheduling

(3) Theory and implementation of Agentic AI systems and Agent networks

(4) Advanced Explainable AI techniques and optimization theory perspectives

(5) Federated and Split Learning and personalization

(6) Continual Learning and learning from streams in resource-limited environments

(7) Quantum networks and Distributed Quantum Computing resource allocation

(8) AI for Post-Quantum

Currently participating in projects in the following domains:

• Coordinator of European PRE-ACT project (Health). https://preact-horizoneurope.eu/. XAI for risk prediction of breast cancer radiotherapy side effects. Role of our team: XAI, Federated Learning, Digital Tool app.

• Partner in European PRUDENT project (Agriculture). https://prudent-project.eu/. Nudging farmers and foresters to sustainable methods. Role of our team: Digital tools (LLM-based, RAG-based) for farmers.

• Partner in European POSEIDON project (Security). https://cordis.europa.eu/project/id/101225797 Post-Quantum solutions for Digital Identities. Role of our team: AI-based and GenAI tools for PQC.

• Single investigator National MAITRE project. Digital Twins for Wireless NEtworks. Data collection, theory, AI tools, feedback system.