I am a second-year Ph.D. student in the Computer Science Department at Cornell University, and a research intern at Google Research (NYC). Before joining Cornell, I completed my M.Sc. in Computer Science at the University of British Columbia, where I had been extremely fortunate to be advised by Prof. Margo Seltzer. Before that, I received my B.Sc. in Computer Engineering with a minor in Mathematics at the Sharif University of Technology. I am interested in a diverse topics of research and I am currently working on deep learning architectures, graph representation learning, ML in healthcare, and computational neuroscience.
I am always open to collaboration!
Selected Publications
| KDD 2024 | Graph Mamba: Towards Learning on Graphs with State Space Models.  Second Most Influential Paper of KDD 2024 Ali Behrouz, Farnoosh Hashemi   |
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| NeurIPS 2024 | Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models. Ali Behrouz, Michele Santacatterina, Ramin Zabih |
| CHIL 2024 | Brain-mamba: Encoding Brain Activity via Selective State Space Models. Best Paper Award Ali Behrouz, Farnoosh Hashemi |
| ICML 2024 | Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity. Ali Behrouz, Parsa Delavari, Farnoosh Hashemi |
| NeurIPS 2023 | CAT-Walk: Inductive Hypergraph Learning via Set Walks. Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer |
| ICML IMLH Workshop 2023 | ADMIRE++: Explainable Anomaly Detection in the Human Brain via Inductive Learning on Temporal Multiplex Networks. Best Paper Award Ali Behrouz, Margo Seltzer |
News
| Sep 2024 | I have started my internship at Google Research (NYC) and excited to work on both deep learning architectures and graph learning. |
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| Sep 2024 | Our paper "Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models" has been accepted to NeurIPS 2024. |
| July 2024 | Our paper "Brain-mamba: Encoding Brain Activity via Selective State Space Models" won the best paper award at CHIL 2024. |
| May 2024 | Our papers "Graph Mamba: Towards Learning on Graphs with State Space Models" and "A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User Engagement" have been accepted to KDD 2024. |
| May 2023 | Our paper "Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity" has been accepted to ICML 2024. |
Service
Conference/Workshop Reviewer: ICLR 2024-2025, NeurIPS 2023-2024, ICML 2024, KDD 2022-2024, IJCAI 2024, MICCAI 2024, Human Brain Mapping (OHBM) Annual Meeting 2024, NeurIPS TGL Workshop 2023.
Journal Reviewer: JMLR 2024, TKDD 2024, TMLR 2023-2024.
Other: Mentor in Talaria Summer Institute.