Publications

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Peer-Reviewed Conference Papers

  1. [AAAI 2026] Automated Unified Reasoning with Vision-Language Models for Multi-modal Burn Assessment.
    Md Masudur Rahman, Mohamed El Masry, Gayle Gordillo, and Juan P Wachs. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026. Oral, Innovative Applications of Artificial Intelligence (IAAI-26), Acceptance rate: 15%.
  2. [MIUA 2025] Knowledge-Driven Hypothesis Generation for Burn Diagnosis from Ultrasound with Vision-Language Model.
    Md Masudur Rahman, Mohamed El Masry, Gayle Gordillo, and Juan P Wachs. In Proceedings of the Annual Conference on Medical Image Understanding and Analysis, 2025. [Best Paper Award]
  3. [NAACL 2024] Natural Language-based State Representation in Deep Reinforcement Learning.
    Md Masudur Rahman and Yexiang Xue. In Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics, Findings, 2024.
  4. [ECML-PKDD 2022] Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement Learning.
    Md Masudur Rahman and Yexiang Xue. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.
  5. [ICMLA 2022] Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning.
    Md Masudur Rahman and Yexiang Xue. In Proceedings of the IEEE International Conference on Machine Learning and Applications, 2022.
  6. [ICRA 2021] DESERTS: Delay-Tolerant Semi-Autonomous Robot Teleoperation for Surgery.
    Glebys Gonzalez, Mridul Agarwal, Mythra Varun Balakuntala Srinivasa Mur, Md Masudur Rahman, Upinder Kaur, Richard Voyles, Vaneet Aggarwal, Yexiang Xue, Juan Wachs. In Proceedings of the IEEE International Conference on Robotics and Automation, 2021.
  7. [RO-MAN 2021] Sequential Prediction with Logic Constraints for Surgical Robotic Activity Recognition.
    Md Masudur Rahman, Richard Voyles, Juan Wachs, Yexiang Xue. In Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication - 2021.
  8. [RO-MAN 2021] Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery.
    Mridul Agarwal, Glebys Gonzalez, Mythra V. Balakuntala, Md Masudur Rahman, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan Wachs. In Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication - 2021.
  9. [RO-MAN 2019] Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation.
    Md M. Rahman*, N. Sanchez-Tamayo*, G. Gonzalez, M. Agarwal, V. Aggarwal, R. M. Voyles, Y. Xue, and J. Wachs [* equal authorship], In Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019.
  10. [IROS 2019] DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots.
    N. Madapana*, Md M. Rahman*, N. Sanchez-Tamayo*, M. V. Balakuntala, G. Gonzalez, J. P. Bindu, L. N. V. Venkatesh, X. Zhang, J. B. Noguera, T. Low, R. Voyles, Y. Xue, J. Wachs. [* equal authorship]. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019.
  11. [SCAM 2019] Toward Optimal Selection of Information Retrieval Models for Software Engineering Tasks.
    Md Masudur Rahman, Saikat Chakraborty, Gail Kaiser, and Baishakhi Ray, In 19th IEEE International Working Conference on Source Code Analysis and Manipulation.
  12. [MSR 2018] Evaluating How Developers Use General-Purpose Web-Search for Code Retrieval.
    Md M. Rahman, J. Barson, S. Paul, J. Kayani, F. A. Lois, S. F. Quezada, C. Parnin, K. T. Stolee, B. Ray. In Proceedings of the 15th International Conference on Mining Software Repositories, 2018.

Peer-Reviewed Journal Articles

  1. [MilMed 2026] A Multimodal Artificial Intelligence Reasoning Framework for Burn Diagnosis.
    Md Masudur Rahman*, Mohamed El Masry*, Gayle Gordillo, and Juan P. Wachs. Military Medicine, 191(Supplement_1), 598–604, 2026. *Equal contribution. DOI.
  2. [Annals of Surgery 2026] Automated non-invasive burn diagnostic system for healthcare using artificial intelligence: AMBUSH-AI
    Mohamed El Masry*, Md Masudur Rahman*, Surya C Gnyawali, Thomas Smeenge, Yexiang Xue, Brett C. Hartman, Leigh Spera, Juan P Wachs, and Gayle Gordillo. Annals of Surgery, 2026. *Equal Contribution.
  3. [MilMed 2026] An AI Copilot for First Response Medicine.
    Yupeng Zhuo, Md Masudur Rahman, Eddie Zhang, Krish Iyengar, Andrew W. Kirkpatrick, Kyle Couperus, Christopher Colombo, Jessica McKee, Oanh Tran, Jonah Beck, DeAnna DeVane, Chad Gorbatkin, Ross Candelore, Eleanor Birch, Juan P. Wachs. Military Medicine Journal, 2026.
  4. [JMIR 2025] AI-Driven Integrated System for Burn Depth Prediction With Electronic Medical Records: Algorithm Development and Validation.
    Md Masudur Rahman, Mohamed El Masry, Surya Gnyawali, Yexiang Xue, Gayle Gordillo, Juan P. Wachs. JMIR Medical Informatics, 2025.
  5. [MilMed 2025] A Framework for Advancing Burn Assessment With Artificial Intelligence.
    Md Masudur Rahman, Mohamed El Masry, Surya C Gnyawali, Yexiang Xue, Gayle Gordillo, Juan P Wachs. Military Medicine, 190(Supplement_2), 387–393, 2025. DOI.
  6. [CMBBE Journal 2021] SARTRES: a semi-autonomous robot teleoperation environment for surgery.
    Md Masudur Rahman, Mythra V. Balakuntala, Glebys Gonzalez, Mridul Agarwal, Upinder Kaur, Vishnunandan L. N. Venkatesh, Natalia Sanchez-Tamayo, Yexiang Xue, Richard M. Voyles, Vaneet Aggarwal, Juan Wachs. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 9(4), 376–383, 2021. Published online November 5, 2020. DOI.
  7. [MilMed 2021] From the Dexterous Surgical Skill to the Battlefield—A Robotics Exploratory Study.
    Glebys T. Gonzalez*, Upinder Kaur*, Md Masudur Rahman*, Vishnunandan Venkatesh, Natalia Sanchez, Gregory Hager, Yexiang Xue, Richard Voyles, Juan Wachs. [* equal authorship], Military Medicine, 186(Supplement_1), 288–294, 2021. DOI.
  8. [IEEE Access 2018] Recommending GitHub Projects for Developer Onboarding.
    Chao Liu, Dan Yang, Xiaohong Zhang, Baishakhi Ray, Md Masudur Rahman. In IEEE Access, vol. 6, pp. 52082-52094, 2018.

Peer-Reviewed Short Papers / Abstracts

  1. [Focused Ultrasound 2026] Interpretable equation discovery for optimizing splenic focused ultrasound treatment of inflammatory arthritis.
    Pronoma Banerjee, Masudur Rahman, Nikolaos Dervisis, Craig J. Goergen, Juan P. Wachs. Abstract accepted for poster presentation at Celebrating Focused Ultrasound: The Future is Now, November 11–13, 2026, McLean, Virginia.
  2. [MHSRS 2026] The CARE Center: Advancing AI-Enabled Robotics for Military and Austere Healthcare.
    Masudur Rahman, Gabriel Gruionu, Andrew D. Wisneski, David A. Peterson, Andrew A. Gonzalez, Fatih Zor, Sanjay Mohanty, Juan P. Wachs. Conference abstract, poster presentation, Military Health System Research Symposium (MHSRS), 2026.
  3. [MHSRS 2026] A hypothesis-driven framework for automatic gastrointestinal diagnosis from ultrasound in austere settings.
    Banerjee, P., Rahman, M. M., Shah, A., Mohanty, S., Zor, F., Wachs, J. P. Conference abstract, oral presentation, Military Health System Research Symposium (MHSRS), 2026.
  4. [MHSRS 2025] A Chain-of-Thought AI Reasoning Framework for Burn Diagnosis.
    Md Masudur Rahman, Mohamed El Masry, Gayle Gordillo, Juan P. Wachs. Abstract Paper at Military Health System Research Symposium (MHSRS), 2025.
  5. [PSTM 2025] Burn Depth Diagnostic System for Healthcare Using Artificial Intelligence.
    Mohamed El Masry, Md Masudur Rahman, Surya Gnyawali, Juan P. Wachs, Gayle Gordillo. Abstract accepted for presentation at Plastic Surgery The Meeting (PSTM) 2025, organized by the American Society of Plastic Surgeons (ASPS).
  6. [MIUA 2025] A Scalable AI Copilot for High Stake Medical Scenarios.
    Yupeng Zhuo, Eddie Zhang, Aditya Pachpande, Xiangchen Yu, Krish Iyengar, Nihar Turlapati, Xiyue Chen, Trung Duc Lam, Andrew W. Kirkpatrick, Kyle Couperus, Christopher Colombo, Jessica McKee, Md Masudur Rahman, Juan P. Wachs. Abstract Paper at the Annual Conference on Medical Image Understanding and Analysis (MIUA), 2025.
  7. [MHSRS 2024] Advancing Burn Depth Assessment through Ultrasound Imaging with Vision Transformers.
    Md Masudur Rahman, Mohamed El Masry, Surya Gnyawali, Gayle Gordillo, Yexiang Xue, Juan P. Wachs. Abstract Paper at Military Health System Research Symposium (MHSRS), 2024.
  8. [MHSRS 2022] ASAP: A Semi-Autonomous Precise robotic framework for remote surgery under delays.
    Glebys Gonzalez, Mythra Balakuntala, Mridul Agarwal, Md Masudur Rahman, Thomas Low, Vaneet Aggarwal, Yexiang Xue, Richard M. Voyles, Juan Wachs. Abstract Paper at Military Health System Research Symposium (MHSRS), 2022.
  9. [MHSRS 2021] A Semi-autonomous Robotic Framework for Remote Surgery under Delays.
    Glebys Gonzalez, Mythra Varun Balakuntala Srinivasa Murthy, Mridul Agarwal, Md Masudur Rahman, Richard M. Voyles, Vaneet Aggarwal, Yexiang Xue, Juan Wachs. Abstract Paper at Military Health System Research Symposium (MHSRS), 2021.
  10. [MHSRS 2020] ASTRO: A Semi-Autonomous Telemedicine Robot for Operative Surgery.
    Glebys Gonzalez, Md Masudur Rahman, Mridul Agarwal, Mythra Balakuntala, Vishnu Venkatesh, Vaneet Aggarwal, Yexiang Xue, Richard Voyles, Gregory Hager, MAJ Andrew W Kirkpatrick, MAJ Steve Overholser, Juan Wachs. Abstract Paper at Military Health System Research Symposium (MHSRS), 2020.
  11. [ICSE '18 Companion] Which Similarity Metric to Use for Software Documents? A study on Information Retrieval based Software Engineering Tasks.
    Md M. Rahman, S. Chakraborty, B. Ray, In Proceedings of 40th International Conference on Software Engineering Companion, 2018.
  12. [SIGIR 2016] Topic Model based Privacy Protection in Personalized Web Search.
    W. Ahmad, Md M. Rahman, H. Wang, In Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2016.

Peer-Reviewed Workshop Papers

  1. [ARLET@NeurIPS 2025] Robust Policy Gradient Optimization through Action Parameter Perturbation in Reinforcement Learning.
    Md Masudur Rahman, Juan P. Wachs, and Yexiang Xue.
    Peer-reviewed, non-archival workshop paper. Aligning Reinforcement Learning Experimentalists and Theorists Workshop (ARLET) at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025).
  2. [ARLET@NeurIPS 2025] Intent-Based Reward Inference for Value-Aligned Reinforcement Learning.
    Md Masudur Rahman and Juan P. Wachs.
    Peer-reviewed, non-archival workshop paper. Aligning Reinforcement Learning Experimentalists and Theorists Workshop (ARLET) at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025).
  3. [NeurIPS Workshops 2025] Improvisational Reasoning with Vision-Language Models for Grounded Procedural Planning.
    Md Masudur Rahman, Yupeng Zhuo, and Juan P. Wachs.
    Peer-reviewed, non-archival workshop paper. Multimodal Algorithmic Reasoning Workshop (MAR), GenAI for Health: Potential, Trust, and Policy Compliance (GenAI4Health), and Embodied World Models for Decision Making (EWM) at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025).
  4. [NeurIPS Workshops 2025] Vision-Language Reasoning for Burn Depth Assessment with Structured Diagnostic Hypotheses.
    Md Masudur Rahman, Mohamed El Masry, Kristo Nuutila, Gayle Gordillo, and Juan P. Wachs.
    Peer-reviewed, non-archival workshop paper. GenAI for Health: Potential, Trust, and Policy Compliance (GenAI4Health), and Embodied World Models for Decision Making (EWM) at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025).
  5. [FMDM@NeurIPS 2023] Natural Language-based State Representation in Deep Reinforcement Learning.
    Md Masudur Rahman and Yexiang Xue. Foundation Models for Decision Making Workshop at the thirty-seventh Annual Conference on Neural Information Processing Systems, 2023.
  6. [RRL@ICLR 2023] Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning.
    Md Masudur Rahman and Yexiang Xue. Workshop on Reincarnating Reinforcement Learning at the Eleventh International Conference on Learning Representations, 2023.
  7. [MoDeM@RLDM 2019] Morality in Decision-Making: A Causal Approach.
    Md M. Rahman. Accepted for oral presentation at RLDM Workshop on Moral Decision Making, 2019. [MoDeM Link][RLDM Link] [Video].
  8. [NLSE@FSE 2016] Finding Similar Projects in GitHub using Word2Vec and WMD.
    Md M. Rahman. Workshop on the Naturalness of Software at the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016. [Slides]

Preprints and Technical Reports

  1. Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. [arXiv] [pdf] [GitHub]
    Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi. 2024
  2. A Case Study on the Impact of Similarity Measure on Information Retrieval based Software Engineering Tasks.
    Md Masudur Rahman, Saikat Chakraborty, Gail Kaiser, Baishakhi Ray. Technical Report 2018.