S M Nahid Mahmud
Computer Science · Purdue University West Lafayette
Publications
14
Citations
73
Est. group size
—
Recurring co-author estimate
Active years
7
Publishing since 2020
S M Nahid Mahmud works on control theory and reinforcement learning, focusing on designing methods that let automated systems learn optimal control strategies while guaranteeing safety and stability, even when a system's dynamics are uncertain or only partially observed. This research is relevant to robotics and other engineered systems where both performance and safety constraints must be maintained during learning and operation.
Publication output rose from none before 2020 to a peak around 2021, then gradually declined through 2024-2025 with an isolated 2026 entry, suggesting a slowing pace over the past few years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- State-Constrained Optimal Control via Barrier-Coordinate Transformation
IEEE Control Systems Letters · 2026
- Safe adaptive output‐feedback optimal control of a class of linear systems
International Journal of Robust and Nonlinear Control · 2024
- Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model
2023
- Automatic Code Review Effectiveness Detection
2023
- Model-based inverse reinforcement learning for deterministic systems
Automatica · 2022
- Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning
arXiv (Cornell University) · 2022
- Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model
arXiv (Cornell University) · 2022
- Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties
Frontiers in Robotics and AI · 2021
- A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties
2021
- Safety-aware model-based reinforcement learning using barrier transformation
SHAREOK (University of Oklahoma) · 2021
- Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems
arXiv (Cornell University) · 2021
- Dissecting Convolutional Neural Networks for Efficient Implementation on Constrained Platforms
2020
- Online inverse reinforcement learning with limited data
2020
- Safe Model-Based Reinforcement Learning for Systems with Parametric Uncertainties
arXiv (Cornell University) · 2020
- arXiv (Cornell University)×4
- Automatica×1
- Frontiers in Robotics and AI×1
- International Journal of Robust and Nonlinear Control×1
- SHAREOK (University of Oklahoma)×1
- Avimanyu Sahoo
Computer Science · Purdue University West Lafayette
- Jiayu Chen
Computer Science · Purdue University West Lafayette
- Tengyu Xu
Computer Science · The Ohio State University
- Zaiwei Chen
Computer Science · Purdue University West Lafayette
- Washim Uddin Mondal
Computer Science · 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.
Claim or correct this profile