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Ibrahim Kurban Ozaslan - Researcher in Los Angeles, CA

Ibrahim Kurban Ozaslan

Junior Robotics & Controls Researcher specializing in optimization, MPC, and reinforcement learning

University of Southern CaliforniaUSCLos Angeles, CAJunior LevelWorks On-Site

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About

Robotics software candidate who designed and implemented a hierarchical motion-planning and whole-body control pipeline for a 37-state Spot robot to traverse complex terrain, using Graph of Convex Sets for safe footstep selection plus optimization-based IK and nonlinear trajectory optimization for joint trajectories/contact forces. Strong in optimization-heavy robotics workflows (PyDrake, MATLAB/Simulink) and methodical debugging down to signal-level and numerical stability; has not used ROS/ROS2 yet.

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Key Strengths

  • Built hierarchical motion planner for 37-state Spot robot for dynamic complex-terrain traversal
  • Advanced optimization-driven robotics pipeline (GCS footstep selection, IK, nonlinear trajectory optimization, contact forces)
  • Whole-body control integration combining optimization-based stance torques with Cartesian PD swing-leg control
  • Structured, signal-level debugging methodology including model validation and numerical stability checks
  • Uses hierarchical decomposition to manage complex robotics optimization problems

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Experience

PhD ResearcherUniversity of Southern California · Dec 2020 – Present
ResearcherBilkent University

Education

USCdoctorate, Electrical Engineering (Minor: Computer Science) (2026)
Bilkent Universitybachelor, Electrical and Electronics Engineering (2020)
Bilkent Universitymaster, Electrical and Electronics Engineering (2020)

Awards

  • Viterbi Graduate Fellowship - University of Southern California
  • 1st Place - IEEE nationwide senior projects competition (200+ projects)

Skills

PythonMATLABC++PyTorchReinforcement learningMulti-agent systemsLSTMSimulinkPyDrakeSimscape MultibodyData-driven controlModel-based controlController designMotion planningVerification

Languages

English

Publications

14 publications

Reinforcement learning for controlStabilization of dynamical systems under uncertaintyRobust controlConstrained optimization algorithmsDistributed optimization and multi-agent systemsLarge-scale linear inverse problemsNumerical methods and accelerated iterative solvers

Memberships

  • IEEE

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EducationEducation in Los Angeles MetroPythonMATLABC++PyTorch

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Ibrahim Kurban OzaslanJunior Robotics & Controls Researcher specializing in optimization, MPC, and reinforcement learning