Yossiri Adulyasak

Singapore-MIT Alliance for Research and Technology, HEC Montréal

Papers

Total Citations

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About

Yossiri Adulyasak is a leading researcher in operations research and artificial intelligence, with key contributions to decentralized stochastic planning and scheduling optimization. His most cited work, "Decentralized Stochastic Planning with Anonymity in Interactions" (2014, 33 citations), addresses a fundamental challenge in multi-agent systems: solving cooperative planning problems where agent interactions depend only on the number of agents involved, not their identities. This breakthrough enables efficient collision avoidance and coordination in anonymous environments, with applications in robotics and autonomous systems. More recently, Adulyasak has applied his scheduling expertise to real-world problems, as demonstrated in his 2023 paper on scheduling multi-staged jobs with sequence-dependent setup times for an automated kitchen. This work tackles the complex optimization of parallel identical machines and a central server, showcasing the practical impact of his research in smart manufacturing and service automation. His work bridges theoretical advances in stochastic planning with tangible solutions for industry, making him a notable figure in the intersection of AI and operations research.