Alireza Rezazadeh
[ Email | Google Scholar | LinkedIn | GitHub ]I’m a Senior Research Scientist and Tech Lead at Accenture’s Center for Advanced AI, where I build infrastructure for collaborative, multimodal LLM agents. My research focuses on LLM memory representations, agent coordination protocols, and real-time multimodal interaction.
I hold a PhD in Electrical and Computer Engineering from the University of Minnesota, where my work centered on graph-structured representation learning for embodied AI systems.
Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control
A Rezazadeh, Z Li, A Lou, Y Zhao, W Wei, Y Bao
Under-Review
[Paper]
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs
A Rezazadeh, Z Li, W Wei, Y Bao
ICLR 2025
NeurIPS 2024 (Sys2-Reasoning Workshop)
[Paper]
Education
Ph.D. in Electrical and Computer Engineering, University of Minnesota
Thesis: "Learning Graph-Structured Representations for Robotic Manipulation"
M.Sc. in Electrical and Computer Engineering, University of Minnesota
Minor: Economics
M.Sc. in Mechanical Engineering, University of Illinois Chicago
Thesis: "Force Field Generalization and the Internal Representation of Motor Learning"
B.Sc. in Mechanical Engineering, Sharif University of Technology