Nina Mahmoudian
Engineering · Purdue University West Lafayette
Publications
116
Citations
1,150
Est. group size
~9
Recurring co-author estimate
Active years
25
Publishing since 2002
Nina Mahmoudian works on robotics for underwater, surface, and aerial vehicles, focusing on how these vehicles can navigate, control their motion, and avoid obstacles in challenging environments like oceans, rivers, and under ice. Her work combines control theory (mathematical methods for steering vehicles reliably) with machine learning techniques such as reinforcement learning and computer vision to help autonomous vehicles perceive and adapt to their surroundings. Recent projects include underwater gliders, autonomous surface vessels, and drones that follow rivers using onboard cameras.
Publication output has fluctuated over the past decade but shows a recent upswing, with a notable peak in 2024 following a relatively steady mid-decade pace of about 6 papers per year.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Vision-driven river following of UAV via safe reinforcement learning using semantic dynamics model
Robotics and Autonomous Systems · 2026
- Finite-time prescribed performance with fixed-time disturbance rejection for underwater glider heading control
Ocean Engineering · 2025
- Vision driven trailer loading for autonomous surface vehicles in dynamic environments
Frontiers in Robotics and AI · 2025
- Deployable Vision-driven UAV River Navigation via Human-in-the-loop Preference Alignment
arXiv (Cornell University) · 2025
- Fixed-time control with prescribed performance for path following of underwater gliders
arXiv (Cornell University) · 2025
- Fixed-time control with prescribed performance for path following of underwater gliders
arXiv (Cornell University) · 2025
- Vision-driven UAV River Following: Benchmarking with Safe Reinforcement Learning
IFAC-PapersOnLine · 2024
- ASV station keeping under wind disturbances using neural network simulation error minimization model predictive control
Journal of Field Robotics · 2024
- Behavior of Mathieu equation in stable regions
Figshare · 2024
- Gliding in extreme waters: Dynamic Modeling and Nonlinear Control of an Agile Underwater Glider
IFAC-PapersOnLine · 2024
- Synergistic Reinforcement and Imitation Learning for Vision-driven Autonomous Flight of UAV Along River
2024
- Effective Underwater Glider Path Planning in Dynamic 3D Environments Using Multi-Point Potential Fields
arXiv (Cornell University) · 2024
- Synergistic Reinforcement and Imitation Learning for Vision-driven Autonomous Flight of UAV Along River
arXiv (Cornell University) · 2024
- Gliding in extreme waters: Dynamic Modeling and Nonlinear Control of an Agile Underwater Glider
arXiv (Cornell University) · 2024
- Vision-driven UAV River Following: Benchmarking with Safe Reinforcement Learning
arXiv (Cornell University) · 2024
- arXiv (Cornell University)×12
- Sensors×4
- IFAC-PapersOnLine×4
- IEEE Robotics and Automation Letters×3
- Frontiers in Robotics and AI×3
- Jianwen Li
Computer Science · Purdue University West Lafayette
- Ahmed H. Qureshi
Computer Science · Purdue University West Lafayette
- Adithya Jayakumar
Computer Science · The Ohio State University
- Ayanna Howard
Computer Science · The Ohio State University
- GILVANDRO CSAR DE MEDEIROS
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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