Planning with Transformers: Chain of Computation and Structured Context Windows
Ehsan Futuhi, Nathan R. Sturtevant
arXiv preprint arXiv:2607.17710, 2026
I am an AI researcher working on planning algorithms at the intersection of reinforcement learning, heuristic search, and foundation-model reasoning. I received my M.Sc. in Computing Science from the University of Alberta under the supervision of Prof. Martin Müller, where my research focused on improving the sample efficiency of policy-gradient algorithms in sparse-reward continuous control tasks through search and subgoal discovery.
I am currently a Data Scientist at MedWatch Technologies, where I work on AI methods for non-invasive blood glucose monitoring. I am also a part-time Research Assistant at the Moving AI Lab under the supervision of Prof. Nathan Sturtevant, where I study the planning and reasoning capabilities of large language models.
Ehsan Futuhi, Nathan R. Sturtevant
arXiv preprint arXiv:2607.17710, 2026
Ehsan Futuhi, Nathan R. Sturtevant
International Conference on Learning Representations (ICLR), 2026
Ehsan Futuhi, Nathan R. Sturtevant
AAAI Conference on Artificial Intelligence (AAAI), 2026 — Oral Presentation
Ehsan Futuhi, Shayan Karimi, Chao Gao, Martin Müller
Transactions on Machine Learning Research (TMLR), 2025
Ehsan Futuhi
Master’s Thesis, University of Alberta, 2024
Mohammad Sina Kiarostami, Mohammadreza Daneshvaramoli, Saleh Khalaj Monfared, Aku Visuri, Helia Karisani, Simo Hosio, Hamed Khashehchi, Ehsan Futuhi, Dara Rahmati, Saeid Gorgin
International Conference on Computer Technology Applications, 2021
Sharareh Alipour, Ehsan Futuhi, Shayan Karimi
arXiv preprint arXiv:2012.04883, 2020
Ehsan Futuhi, Shayan Karimi
International Conference on Computational Intelligence and Applications (ICCIA), 2020