Dr. I. de Zarzà
Multi-Agent Systems · Human-Centered AI — LIST
CV.pdf
Theory in the stack, systems on the wire

Professor & Researcher — Multi-Agent Systems

I build cooperative, reliable multi-agent systems with Large Language Models for autonomous vehicles, edge/6G networks, and human-AI decision support. Currently at the Luxembourg Institute of Science and Technology (LIST).

LLM-driven MAS UAV swarms Reasoning & evaluation Edge/6G systems Trust & safety
Recent work Let’s talk Download CV

Highlights

  • Research & Technology Scientist, LIST (2025–).
  • Professor, Universidad de Zaragoza (2024–25).
  • Ph.D. in Computer Science, UPV (2021-2023).
  • MSc (EE) @ City University of Hong Kong (2013-2015).
  • Research stints at Goethe‑University, ETH Zürich, CMU, CUHK.
  • Guest/Topic Editor — Frontiers AI; Early Career EB — MDPI Drones.

Research

My lab explores LLM-powered multi-agent systems with applications to UAV swarms, cooperative perception, and policy-aware decision support. We design evaluation pipelines (reasoning, bias, consistency), and optimize deployment across edge/6G environments.

  • LLM-Driven Social Influence for Cooperative MAS
  • Cooperative Perception for Mixed UAV–Vehicle Platoons
  • Energy-aware MAS on Edge/6G Infrastructures
  • Robust evaluation: accuracy, step-consistency, and bias

Selected Publications

  • LLM-Driven Social Influence for Cooperative Behavior in Multi-Agent Systems, IEEE Access, 2025.
  • LLM-Powered Cooperative Perception Framework for Mixed UAV-Vehicle Platoons, FMEC, 2025.
  • Integrating Polyglot Persistence with LLMs for Scalable Social Network Applications, KES 2025.
  • Large Model Cognitive Radio, IUCC 2024.
  • + more

Teaching

Courses and workshops in control systems, electronics, AI for autonomy, and data-driven decision making. I favor hands-on labs and open datasets.

  • Control Systems (UFV, 2024)
  • Electronics (UFV, 2024)
  • Computer Science (UZaragoza, 2024–25)

Service

  • Guest/Topic Editor — Frontiers in AI (2025–)
  • Early Career Editorial Board — MDPI Drones (2025–)
  • Reviewer — IEEE, Elsevier, MDPI, Springer

Open Source & Datasets

We release code, benchmarks, and evaluation artifacts for MAS and LLMs.

  • Reasoning & Consistency evaluation toolkit
  • Multi-Agent simulation scenarios (UAV & traffic)
  • Bias & multilingual evaluation resources
Curriculum Vitae — PDF preview
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