Haris Aziz

Papers

Total Citations

111

H-Index

About

Haris Aziz is a distinguished researcher whose work spans computational social choice, coalition formation, and multi-robot task allocation — fields sitting at the rich intersection of artificial intelligence, economics, and robotics. His foundational contribution to hedonic games, which has garnered 50 citations, provides a rigorous framework for understanding how agents form coalitions based on individual preferences, a problem with far-reaching implications across economic, political, and social systems. This work has become an essential reference for researchers studying cooperative behavior among both human and artificial agents. Aziz has also made significant strides in multi-robot task allocation, producing a highly cited survey (43 citations) that systematically maps the landscape of problem variants and solution approaches in this critical area of robotics. Complementing this, his complexity and approximation work on the ST-MR-IA problem setting provides theoretical guarantees that are vital for real-world applications such as search and rescue operations. His contributions to the broader AI community are further reflected through his involvement in premier AI conferences. Collectively, Aziz's research empowers both theoreticians and practitioners to design more efficient, fair, and scalable multi-agent systems.