Kostas Stathis

About

Kostas Stathis is a leading researcher in artificial intelligence, focusing on multi-agent systems, ambient intelligence, and cognitive robotics. His work bridges declarative agent control and ubiquitous computing, pioneering frameworks for distributed, human-machine cognitive systems. Stathis’s most cited paper, "Declarative Agent Control" (2005, 21 citations), established foundational methods for programming intelligent agents with explicit, verifiable goals. He further advanced ambient intelligence through "Ubiquitous Agents for Ambient Ecologies" (2011, 7 citations) and "Towards Anticipatory Service Composition in Ambient Intelligence" (2010, 6 citations), where he investigated predictive cognitive mechanisms to enable systems that anticipate user needs. His contributions extend to probabilistic programming with "Probabilistic Programming with Gaussian Process Memoization" (2015, 5 citations), simplifying complex GP applications. Stathis also developed key middleware and frameworks: "EVATAR" (2010, 4 citations) bridges virtual agents and autonomous robots, while "CLIC" (2013, 4 citations) enables on-demand, collaborative cognitive systems integrating human and machine components. His work has profoundly impacted how autonomous systems perceive, reason, and interact in dynamic, real-world environments, making him a pivotal figure in creating adaptive, anticipatory AI.

Research Focus

Key Achievements

Top Papers

1. 1
   Declarative Agent Control

   21 citations · 2005
2. 2
   Ubiquitous Agents for Ambient Ecologies

   7 citations · 2011
3. 3
   Towards anticipatory service composition in Ambient Intelligence

   6 citations · 2010
4. 4
   Probabilistic Programming with Gaussian Process Memoization

   5 citations · 2015
5. 5
   EVATAR – A Prototyping Middleware Embodying Virtual Agents to Autonomous Robots

   4 citations · 2010
6. 6
   CLIC: A Framework for Distributed, On-Demand, Human-Machine Cognitive Systems

   4 citations · 2013

Key Collaborators

Contact & Links