[J12] M. Talebi, S. Mahmud, A. Khalifa, and M. J. Islam. BlueME: Robust Underwater Robot-to-Robot Communication Using Compact Magnetoelectric Antennas . In Review, 2025. [project page ]

[J11] M.A.B. Siddique, J. Liu, P. Singh, and M. J. Islam. UStyle: Waterbody Style Transfer of Underwater Scenes by Depth-guided High-Fidelity Feature Synthesis . In Review, 2025. [project page   code]

[J10] A. Abdullah, R. Chen, D. Blow, T. Uthai, E. Du, and M. J. Islam. Human-Machine Interfaces for Subsea Telerobotics: from Soda-straw to Natural Language Interactions . In Review, 2025. [project page ]

[J9] M.A.B. Siddique, J. Wu, I. Rekleitis, and M. J. Islam. AquaFuse: Waterbody Fusion for Physics Guided View Synthesis of Underwater Scenes . IEEE Robotics and Automation Letters (RA-L), vol. 10 , no. 5, 2025. [pre-print   project page ]  *Impact Factor: 5.2

[J8] S. Huang, K.F.F. Suhi, and M. J. Islam. LightViz: Autonomous Light-field Sensing and Mapping for Distributed Light Pollution Monitoring . Springer Nature Environmental Monitoring and Assessment (EMA), vol. 197, no. 384, 2025. [project page   pre-print   code]  *Impact Factor: 3.1

[Book Chapter] M. J. Islam, A.Q. Li, Y. Girdhar, and I. Rekleitis. Computer Vision Applications in Underwater Robotics and Oceanography. Computer Vision: Challenges, Trends, and Opportunities . CRC Press, 2024, p.173, eBook ISBN9781003328957.

[C26] A. Gupta, A. Abdullah, X. Li, V. Ramesh, I. Rekleitis, and M. J. Islam. Demonstrating CavePI: Autonomous Exploration of Underwater Caves by Semantic Guidance. Robotics: Science and Systems (RSS), 2025, Los Angeles, CA, US. [project page   code] (Acceptance Rate: 27%)

[C25] D. Blow, A. Abdullah, J. M. Sheldon, W. Zhu, S. Rampazzi, and M. J. Islam. Detection and Localization of Acoustic Vulnerabilities of Underwater Data Centers for Remote Surveillance. SPIE Defense and Commercial Sensing, 2025, Orlando, FL, US.

[C24] Y. Zhang, A. Abdullah, S. J. Koppal, and M. J. Islam. ClipRover: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots . In Review, 2025. [project page ]

[C23] R. Chen, D. Blow, A. Abdullah, and M. J. Islam. Word2Wave: Language Driven Mission Programming for Efficient Subsea Deployments of Marine Robots. IEEE International Conference on Robotics and Automation (ICRA), 2025. [project page ]

[C22] A. Abdullah, R. Chen, I. Rekleitis, and M. J. Islam. Ego-to-Exo: Interfacing Third Person Visuals from Egocentric Views in Real-time for Improved ROV Teleoperation. International Symposium on Robotics Research (ISRR), CA, US 2024. [project page ]

[C21] M. Mohammadi, A. Abdullah, A. Juneja, I. Rekleitis, M. J. Islam, and R. Zand. Edge-Centric Real-Time Segmentation for Autonomous Underwater Cave Exploration. IEEE International Conference on Machine Learning and Applications (ICMLA), FL, US, 2024.  

[C20] J. M. Sheldon, W. Zhu, A. Abdullah, S.H.V Bhupathiraju, T. Sugawara, K. Butler, M. J. Islam, S. Rampazzi. AquaSonic: Acoustic Manipulation of Underwater Data Center Operations and Resource Management. 45th IEEE Symposium on Security and Privacy (S&P), 2024, San Francisco, CA, US. [project page   news] (Acceptance Rate: 17.8%)

[C19] A. Abdullah, M. Talebi, R. Chen, and M. J. Islam. A Mobile Robotic Solution for Dense Water Quality Sensing and Monitoring. Robots for Understanding Natural Ecosystems (RUNE) Workshop at IEEE International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.

[C18] S. Huang, A. Abdullah, R. Chen, and M. J. Islam. Dynamic Light-field Sensing for Distributed Light Pollution Monitoring . Robots for Understanding Natural Ecosystems (RUNE) Workshop at IEEE International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.

[C17] A. Abdullah, T. Barua, Z. Chen, R. Tibbetts, M. J. Islam, and I. Rekleitis. CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration. IEEE International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.   [project page]

[C16] M. J. Islam. Eye On the Back: Augmented Visuals for Improved ROV Teleoperation in Deep Water Surveillance and Inspection. SPIE Defense and Commercial Sensing, 2024, National Harbor, Maryland, US.

[C15] M. Mohammadi, S. Huang, T. Barua, I. Rekleitis, M. J. Islam, and R. Zand. Caveline Detection at the Edge for Autonomous Underwater Cave Exploration and Mapping. IEEE International Conference on Machine Learning and Applications (ICMLA), 2023, Jacksonville, US.  

[C14] B. Yu, R. Tibbetts, T. Barua, A. Morales, I. Rekleitis, and M. J. Islam. Weakly Supervised Caveline Detection For AUV Navigation Inside Underwater Caves. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, Michigan, US.   [project page]

[C13] J. Wu, B. Yu, and M. J. Islam. 3D Reconstruction of Underwater Scenes using Nonlinear Domain Projection. Best paper award at the IEEE Conference on Artificial Intelligence (CAI), 2023, Santa Clara, CA, US.   [poster]

[C12] J. M. Sheldon, W. Zhu, A. Abdullah, K. Butler, M. J. Islam, S. Rampazzi. Deep Note: Can Acoustic Interference Damage the Availability of Hard Disk Storage in Underwater Data Centers? Best paper award at the ACM Workshop on Hot Topics in Storage and File Systems (HotStorage), 2023, Boston, MA, US.

[C11] B. Yu, J. Wu, and M. J. Islam. UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater Robots. IEEE International Conference on Robotics and Automation (ICRA), 2023, London, UK.   [project page   pre-print   code]

[C10] M. J. Islam, R. Wang, and J. Sattar. SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots. Robotics: Science and Systems (RSS), P048, 2022, NYC, NY, US.   [pre-print   code   data   bib] (Acceptance Rate: 32%)

[J7] M. J. Islam, J. Mo, and J. Sattar. Robot-to-Robot Relative Pose Estimation using Humans as Markers. Autonomous Robots (AuRO), vol. 45, no. 4, pp. 579–593, 2021, doi: 10.1007/s10514-021-09985-6. [bib]   *Impact Factor: 3.7

[C9] J. Mo, M. J. Islam and J. Sattar. IMU-Assisted Learning of Single-View Rolling Shutter Correction. Conference on Robot Learning (CoRL), 2021.   [pre-print   code   data]

[J6] J. Mo, M. J. Islam and J. Sattar. Fast Direct Stereo Visual SLAM. IEEE Robotics and Automation Letters (RA-L*), vol. 7, no. 2, pp. 778-785, 2021, doi: 10.1109/LRA.2021.3133860, 2021.   [code]   *Impact Factor: 3.74

[J5] M. J. Islam, Y. Xia, and J. Sattar. Fast Underwater Image Enhancement for Improved Visual Perception. IEEE Robotics and Automation Letters (RA-L*), vol. 5, no. 2, pp. 3227-3234, 2020, doi: 10.1109/LRA.2020.2974710.   [code   data   bib]   *Impact Factor: 3.61

[C8] M. J. Islam, P. Luo, and J. Sattar. Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception. Robotics: Science and Systems (RSS), 2020.   [code   data   bib] (Acceptance Rate: 26.7%)

[C7] M. J. Islam C. Edge, Y. Xiao, P. Luo, M. Mehtaz, C. Morse, S. S. Enan, and J. Sattar. Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, Virtual.   [code   data   bib]

[C6] M. J. Islam S. S. Enan, P. Luo, and J. Sattar. Underwater Image Super-Resolution using Deep Residual Multipliers. IEEE International Conference on Robotics and Automation (ICRA), 2020, Virtual.   [code   data   bib]

[C5] M. Fulton J. Hong, M. J. Islam, and J. Sattar. Robotic Detection of Marine Litter using Deep Visual Detection Models. IEEE International Conference on Robotics and Automation (ICRA), 2019, Montreal, Canada.

[J4] M. J. Islam, J. Hong, and J. Sattar. Person Following by Autonomous Robots: A Categorical Overview. International Journal of Robotics Research (IJRR*), vol. 38, no. 14, pp. 1581-1618, 2019, doi: 10.1177/0278364919881683. [bib]   *Impact Factor: 6.134

[J3] M. J. Islam, M. Fulton, and J. Sattar. Towards a Generic Diver-Following Algorithm: Balancing Robustness and Efficiency in Deep Visual Detection. IEEE Robotics and Automation Letters (RA-L), vol. 4, no. 1, pp. 113-120, 2018, doi: 10.1109/LRA.2018.2882856. [code,   bib]   *Presented at the ICRA 2019

[J2] M. J. Islam, M. Ho, and J. Sattar. Understanding Human Motion and Gestures for Underwater Human-Robot Collaboration. Journal of Field Robotics (JFR*), 2018, doi: 10.1002/rob.21837. [bib]   *Impact Factor: 4.345

[C4] M. J. Islam, M. Ho, and J. Sattar. Dynamic Reconfiguration of Mission Parameters in Underwater Human-Robot Collaboration. IEEE International Conference on Robotics and Automation (ICRA), pp. 1-8, 2018, Brisbane, Australia. [code,   bib]

[C3] C. Fabbri, M. J. Islam and J. Sattar. Enhancing Underwater Imagery using Generative Adversarial Networks. IEEE International Conference on Robotics and Automation (ICRA), pp. 7159-7165, 2018, Brisbane, Australia. [code,   bib]

[C2] M. J. Islam and J. Sattar. Mixed-domain Biological Motion Tracking for Underwater Human-Robot Interaction. IEEE International Conference on Robotics and Automation (ICRA), pp. 4457-4464, 2017, Singapore. [bib]

[C1] F. Shkurti, W. Chang, P. Henderson, M. j. Islam, J. C. G. Higuera, J. Li, T. Manderson, A. Xu, G. Dudek, and J. Sattar. Underwater Multi-Robot Convoying using Visual Tracking by Detection. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4189-4196, 2017, Vancouver, Canada. [bib]

[J1] A. B. M. A. A. Islam, M. J. Islam and N. Nurain, and V. Raghunathan. Channel Assignment Techniques for Multi-Radio Wireless Mesh Networks: A Survey. IEEE Communications Surveys and Tutorials (IEEE ComST*), pp. 988-1017, 2016, doi: 10.1109/COMST.2015.2510164. [bib]   *Impact Factor: 22.973