119 citations · 313 across the 53 of their papers we have counts for
11 papers · 1 filter
Argonaut: Interactive Visual Exploration for Distributed Optimization
Srijoni Majumdar, Chuhao Qin, Evangelos Pournaras
Distributed discrete-choice optimization in decentralized settings is often hard to explore and navigate: disentangling what other agents choose, how their choices are interdepende…
Decentralized Multi-agent Reinforcement Learning for Resilient Critical Infrastructures
Minghui Ding, Evangelos Pournaras
Critical infrastructures are increasingly distributed, interdependent, and exposed to evolving disruptions, making resilience a central requirement for their operation and control.…
The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination
Jovan Nikolic, Maciej Krzysztof Zuziak, Evangelos Pournaras
The problem of fair multi-agent coordination in decentralized settings is one of the most pressing challenges for building efficient collaborative systems. Resource allocation is b…
Resilient Charging Infrastructure via Decentralized Coordination of Electric Vehicles at Scale
Chuhao Qin, Alexandru Sorici, Andrei Olaru +2
The rapid adoption of electric vehicles (EVs) introduces major challenges for decentralized charging control. Existing decentralized approaches efficiently coordinate a large numbe…
Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
Rabiya Khalid, Evangelos Pournaras
The growing electricity demand and use of smart appliances are placing pressure on power grids, making efficient energy management more important than ever. The existing energy man…
Optimization without Future Compromises? Decentralized Coordination via Collective and Reinforcement Learning
Chuhao Qin, Evangelos Pournaras
Efficient resource allocation in multi-agent systems requires autonomous agents to coordinate their decisions while balancing system-wide objectives with individual costs. This bec…
Optimization under Attack: Resilience, Vulnerability, and the Path to Collapse
Amal Aldawsari, Evangelos Pournaras
Optimization is instrumental for improving operations of large-scale socio-technical infrastructures of Smart Cities, for instance, energy and traffic systems. In particular, under…
Fair Voting Outcomes with Impact and Novelty Compromises? Unraveling Biases in Electing Participatory Budgeting Winners
Sajan Maharjan, Srijoni Majumdar, Evangelos Pournaras
Participatory budgeting, as a paradigm for democratic innovations, engages citizens in the distribution of a public budget to projects, which they propose and vote for implementati…
Large-scale Package Deliveries with Unmanned Aerial Vehicles using Collective Learning
Arun Narayanan, Evangelos Pournaras, Pedro H. J. Nardelli
Unmanned aerial vehicles (UAVs) have significant practical advantages for delivering packages, and many logistics companies have begun deploying UAVs for commercial package deliver…
Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning
Srijoni Majumdar, Evangelos Pournaras
The legitimacy of bottom-up democratic processes for the distribution of public funds by policy-makers is challenging and complex. Participatory budgeting is such a process, where…
A Self-Integration Testbed for Decentralized Socio-technical Systems
Farzam Fanitabasi, Edward Gaere, Evangelos Pournaras
The Internet of Things comes along with new challenges for experimenting, testing, and operating decentralized socio-technical systems at large-scale. In such systems, autonomous a…