CV

Basics

Name Mohamed El Mistiri
Label Postdoctoral Research Scholar
Phone (480)799-8462
Email melmisti@asu.edu
Summary Innovative engineer and researcher with deep expertise in control systems, optimization, and intelligent system design. Passionate about integrating AI with physical systems to solve complex real-world problems. Seeking opportunities in robotics and R&D environments where I can contribute to prototyping, simulation, and cloud-integrated control solutions.

Education

  • 2020.01 - 2024.05
    Ph.D.
    Arizona State University
    Chemical Engineering
    • Dean’s Dissertation Award
  • 2019.08 - 2023.12
    M.S.
    Arizona State University
    Chemical Engineering
  • 2013.08 - 2017.05
    B.S.
    Arizona State University
    Chemical Engineering
    • Summa Cum Laude

Work

  • 2025.01 - Present

    Tempe, AZ

    Postdoctoral Research Scholar
    Interactive Robotics Laboratory (IRL), Arizona State University
    Explored natural language-driven reinforcement learning; integrated LLM-based optimization with MPC; mentored graduate students on VLA model fine-tuning.
    • Explored natural language-driven reinforcement learning for sample-efficient policy search
    • Integrated LLM-based optimization with MPC for robotic arm trajectory planning
    • Set up bimanual robot control and guided graduate students on ML projects for bimanual manipulation
    • Mentored graduate students on VLA model fine-tuning and implementation for robotic applications
    • Collaborated with industry research partners to support and contribute to successful proposals for grant funding
  • 2020.01 - 2024.12

    Tempe, AZ

    Research Associate
    Control Systems Engineering Lab (CSEL), Arizona State University
    Developed and applied model-based control in multidisciplinary mHealth interventions.
    • Led lab efforts on multiple NIH-funded studies
    • Led development of closed-loop control systems for large-scale behavioral interventions
    • Devised signal processing and model estimation algorithms outperforming traditional methods by 15%
    • Designed dynamic models and 3DoF Kalman filter-based hybrid MPC algorithms for personalized control
    • Utilized stochastic search to optimize feature and order selection, increasing computational efficiency by 3x
  • 2017.07 - 2019.06

    Scottsdale, AZ

    Process Engineer
    Third Evolution Inc.
    Process improvement and controls engineering for water treatment plants.
    • Characterized production anomalies and supervised successful field implementations (doubling capacity in some cases)
    • Diagnosed and resolved control loop instabilities in industrial systems
    • Improved efficiency and reduced oscillations through control loop tuning
    • Created SOPs and trained operators, reducing turnaround time by 25%
    • Ensured compliance with EPA and safety regulations

Skills

Robotics & Control Systems
Model Predictive Control (MPC)
Hybrid MPC
PID Control
Nonlinear Systems
System Identification
Robust Control
Discrete-Time Systems
Data-Driven Control
Trajectory Planning
Manipulation
Torque Control
AI & Optimization
Machine Learning
Reinforcement Learning
LLMs
Stochastic Optimization
Evolutionary Algorithms
Feature Selection
Model Estimation
Signal Processing
Programming & Simulation
Python
MATLAB/Simulink
C++
SQL
Gurobi
CPLEX
CVXPY
PyTorch
SciPy
CasADi
acados
ROS
Gazebo
CoppeliaSim
Soft Skills
Communication
Leadership
Interpersonal Skills

Languages

English
Fluent
Arabic
Fluent

Interests

Control Systems Engineering
System Identification
Dynamic Modeling
Machine Learning Integration
Robotics
Process Control
Autonomous Systems
Preventive Medicine
Professional Memberships
AIChE
IEEE
Tau Beta Pi

Awards