Saman Forouzandeh

Dr Saman Forouzandeh is a Postdoctoral Research Fellow in the School of Engineering (Electrical and Electronic Engineering), STEM College, at RMIT University, where he works with Professor Mahdi Jalili in the AI and Networks Research Group. His research develops AI systems that learn and reason efficiently over structured, relational, and multimodal data, with an emphasis on methods that are deployable, verifiable, and resource-aware.

His current work centres on agentic AI and LLM/VLM agents — including memory systems, mid-execution adaptive planning, and verifiable reasoning — alongside graph and hypergraph neural networks for large-scale networked data, multimodal learning, and model compression. Recent papers have appeared at leading AI venues including ICML, ICLR, SIGIR, AAMAS, and WWW, with work selected for oral presentation at WWW 2026 and AAMAS 2026.

Saman completed his PhD at UNSW Sydney in 2025 on graph neural networks for health-aware and multi-criteria recommendation. He has published 35+ peer-reviewed papers (h-index 23; 2,500+ citations) and has been listed among the top 2% of scientists worldwide in the Stanford/Elsevier citation-impact database (2023 and 2024). In 2026 he was awarded under Round 7 of the Australian Government's National Industry PhD Program to lead industry co-designed research on agentic AI for adaptive decision-making, in partnership with Clarity Global Pty Ltd.