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I am a researcher specializing in Vision-Language 3D Scene Reasoning, LLMs & RAG, and Privacy-Preserving AI. I build intelligent systems that bridge theoretical models with real-world applications.

Interested in working together? Please click the collaboration button above or email me directly.

Ali Mamanpoosh
Ali_Mamanpoosh

Latest Updates

Late 2025

Paper "ScenePhys" accepted at NeurIPS 2025 Workshop on Evaluation of World Models (EWM).

2025

"VAGUE-Gate" accepted at the main track of AACL 2025.

March 2025

Started research on Soil Health Knowledge Graphs using LLMs at Wageningen University and Research.

2025

Published a paper on Automated Fault Diagnosis in IoT Systems at IoT 2025 (IEEE).

Selected Publications

From Scenes to Semantics: PersianCLEVR for Bilingual 3D Visual Reasoning

Kianoosh Vadaei, Melika Shirian, Arshia Hemmat, Mohammad Hassan Heydari, Ali Mamanpoosh, Afsaneh Fatemi

NeurIPS 2025 VLM4Real-world Modeling (Spotlight)

ScenePhys — Controllable Physics Videos for World-Model Evaluation

Arshia Hemmat, Emad Aghahosseini, Alireza Nasri, Mohammad Hossein Shaker Ardakani, Amirmasoud Rismanchian, Ali Mamanpoosh, Afsaneh Fatemi

NeurIPS 2025 Workshop (EWM)

VAGUE-Gate: A Plug-and-Play Local-Privacy Shield for Retrieval-Augmented Generation

Arshia Hemmat, Matin Moqadas, Ali Mamanpoosh, Amirmasoud Rismanchian, Afsaneh Fatemi

AACL 2025 (Main Track)

Automated Fault Diagnosis in IoT Systems through Semantic Analysis of Long-Form Textual Data

Ali Mamanpoosh, Hossein Karshenas

IoT 2025 (IEEE)