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ORCIDMd Ferdous Alam
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2020 – today
- 2024
[i5]Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Hyunmin Cheong, Faez Ahmed:
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation. CoRR abs/2404.07917 (2024)- [i4]Md Ferdous Alam, Faez Ahmed:
GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors. CoRR abs/2409.16294 (2024) - 2023
- [j1]Md Ferdous Alam
, Max Shtein, Kira Barton, David J. Hoelzle:
Reinforcement Learning Enabled Autonomous Manufacturing Using Transfer Learning and Probabilistic Reward Modeling. IEEE Control. Syst. Lett. 7: 508-513 (2023) - [i3]Md Ferdous Alam, Yi Wang, Linh Tran, Chin-Yi Cheng, Jieliang Luo:
Representation Learning for Sequential Volumetric Design Tasks. CoRR abs/2309.02583 (2023) - [i2]Md Ferdous Alam, Parinaz Naghizadeh, David J. Hoelzle:
An advantage based policy transfer algorithm for reinforcement learning with metrics of transferability. CoRR abs/2311.06731 (2023) - [i1]Cyril Picard, Kristen M. Edwards, Anna C. Doris, Brandon Man, Giorgio Giannone, Md Ferdous Alam, Faez Ahmed:
From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design. CoRR abs/2311.12668 (2023) - 2022
- [c3]Md Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle:
Sample efficient transfer in reinforcement learning for high variable cost environments with an inaccurate source reward model. ACC 2022: 2892-2898 - [c2]Sakik Al Sajid, Syeda Natasha Nafreen, Al Amin Sogah, Md Ferdous Alam, Mohammad Monirujjaman Khan:
Cloud-Based Produce Market for Independent Farmers, Grocers, and Retailers. CCWC 2022: 608-612 - 2021
- [c1]Md Ferdous Alam, Max Shtein, Kira Barton, David J. Hoelzle:
A physics-guided reinforcement learning framework for an autonomous manufacturing system with expensive data. ACC 2021: 484-490
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