Mahmoudian’s team members are indicated by *
2023
1. Li J.*, Chavez-Galaviz J.*, Azizzadenesheli K., Mahmoudian N., “Dynamic Obstacle Avoidance for USVs Using Cross-Domain Deep Reinforcement Learning and Neural Network Model Predictive Controller”, Sensors. 2023; 23(7):3572. https://doi.org/10.3390/s23073572
2. Wang Z.* and Mahmoudian N., “Aerial Fluvial Image Dataset for Deep Semantic Segmentation Neural Networks and Its Benchmarks,”,in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,vol. 16, pp. 4755-4766, 2023, doi: 10.1109/JSTARS.2023.3275068.
3. Lambert R.*, Li J.*, Chavez-Galaviz J.*, and Mahmoudian N, “A Survey on the Deployability of Semantic Segmentation Networks for Fluvial Navigation”, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 255-264
4. Wu L.-F.*, Wang Z.*, Rastgaar M., and Mahmoudian N., “LNeural Network-PSO-based Velocity Control Algorithm for Landing UAVs on a Boat”, MarXiv [Cs.RO]. Retrieved from http://arxiv.org/abs/2309.13679
2022
1. Chavez-Galaviz J.* and Mahmoudian N., “Underwater Dock Detection through Convolutional Neural Networks Trained with Artificial Image Generation,”, I2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 4621-4627, doi: 10.1109/ICRA46639.2022.9812143.
2. Lambert R.*, Chavez-Galaviz J.*, Li J.*, Mahmoudian N., “SROSEBUD: A Deep Fluvial Segmentation Dataset for Monocular Vision-Based River Navigation and Obstacle Avoidance”, Sensors, 2022; 22(13):4681. https://doi.org/10.3390/s22134681
3. Lambert R.*, Chavez-Galaviz J.*, Page B. R.*, and Mahmoudian N., “Experimental Verification of Underwater Glider Maneuvering in Constrained Environments,”, 2022 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV),Singapore, 2022, pp. 1-7, doi: 10.1109/AUV53081.2022.9965809..
4. Chavez-Galaviz J.* and Mahmoudian N., “Efficient Underwater Docking Detection using Knowledge Distillation and Artificial Image Generation,”, 2022 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV),Singapore, 2022, pp. 1-7, doi: 10.1109/AUV53081.2022.9965804.
5. Torres A., Soliman A., Ribeiro G., Mahmoudian N., & Rastgaar M.,“Design of Asymmetric Parallel Manipulator for Axial-Bending Dynamic Stiffness Analysis”, IFAC-PapersOnLine, 55(37), 288–294. doi:10.1016/j.ifacol.2022.11.199.
2021
1. Lambert R.*, Li J.*, Wu L-F.*, and Mahmoudian N., “Robust ASV Navigation Through Ground to Water Cross-Domain Deep Reinforcement Learning”, Front. Robot. AI , 8:739023. doi: 10.3389/frobt.2021.739023
2. Page B. R.*, Lambert R.*, Mahmoudian N.,Newby D. H., Foley E. L., & Kornack T. W.,“ Compact Quantum Magnetometer System on an Agile Underwater Glider”, , Sensors, 21(4), 1092. https://doi.org/10.3390/s21041092
3. Page B. R.*, Lambert R.*, Chavez‐Galaviz J.*, and Mahmoudian N., “Underwater Docking Approach and Homing to Enable Persistent Operation”, SFront. Robot. AI ,8:621755. doi: 10.3389/frobt.2021.621755
4. Moneyron C., Sakamoto M.*, Rastgaar M., & Mahmoudian N., “Deployment of Multiple UAVs for Area Coverage Mission with Static and Mobile Chargers”, In AIAA Scitech 2021 Forum. American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2021-0810
5. H. Yang et al., “Enhancing Safety of Students with Mobile Air Filtration during School Reopening from COVID-19,”, 2021 IEEE International Conference on Robotics and Automation (ICRA),Xi'an, China, 2021, pp. 10757-10763, doi: 10.1109/ICRA48506.2021.9561857.
Nina Mahmoudian
Associate Professor of Mechanical Engineering
Purdue University
585 Purdue Mall
West Lafayette, IN 47907
ninam@purdue.edu
