Skills

Programming Python, C++, C#, MATLAB, Shell Scripting
Deep Learning Frameworks PyTorch, TensorFlow, JAX, Keras
3D and Robotics Simulation ROS, Gazebo, MuJoCo, Unity, Drake
Mechanical Design SolidWorks, Blender, CATIA, AutoCAD, ANSYS SpaceClaim
Other Linux, CasADi, git

Education

University of Kentucky
Ph. D in Mechanical Engineering, advised by Jesse B. Hoagg
Fall 2018 - Present
Sharif Univeristy of Technology
M.S. in Mechanical Engineering
Fall 2015 - Spring 2018
Sharif Univeristy of Technology
B.S. in Mechanical Engineering
Fall 2009 - Spring 2014

Employment

University of Kentucky
Research Assisstant
May 2019 - Present
Lexington, KY
University of Kentucky
Teaching Assisstant
September 2018 - May 2019
Lexington, KY

Publications

A Closed-Form Control for Safety Under Input Constraints Using a Composition of Control Barrier Functions
P. Rabiee, J. Hoagg
Composing multiple state and input constraints of differing relative degrees into a single control barrier function (CBF) using a composite soft-minimum approach. Achieves safe control with a closed-form solution, eliminating online optimization for exceptional efficiency.
IEEE Open Journal of Control Systems, 2024
Safe Exploration in Reinforcement Learning: Training Backup Control Barrier Functions with Zero Training Time Safety Violations
P. Rabiee, A. Safari
Learning a better backup policy with zero training time safety violations to expand the forward invariant subset of the safe set.
L4DC, 2024
Composition of Control Barrier Functions With Differing Relative Degrees for Safety Under Input Constraints
P. Rabiee, J. Hoagg
Composing multiple state and input constraints of differing relative degrees into a single control barrier function (CBF) using a composite soft-minimum approach.
ACC, 2024
Soft-Minimum and Soft-Maximum Barrier Functions for Safety with Actuation Constraints
P. Rabiee, J. Hoagg
Exploring in the finite-time backward reachable set of backup sets by introducing two real-time optimization control methods for guaranteed safety within actuator constraints: the first utilizes a softmin barrier function with a single backup control and backup set, while the second, employing an augmented softmax/softmin barrier function, enhances exploration using multiple backup controls.
Automatica, 2024
Soft-Minimum Barrier Functions for Safety-Critical Control Subject to Actuation Constraints
P. Rabiee, J. Hoagg
Exploring in the finite-time backward reachable set of a backup set using a softmin barrier function.
ACC, 2023
The Impact of Reference-Command Preview on Human-in-the-Loop Control Behavior Analyzing the impact of reference command preview on human subjects' performance in a dynamic system command-following task using subsystem identification to model control behavior and revealing insights into the trade-offs associated with preview duration.
IEEE Transactions on Human-Machine Systems, 2023