CV
Basics
| Name | Mohamed El Mistiri |
| Label | Postdoctoral Research Scholar |
| Phone | (480)799-8462 |
| 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
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
- 2024.05.01
Dean’s Dissertation Award
Arizona State University
- 2024.05.01
Outstanding Graduate Accomplishment Award
Arizona State University
- 2021.05.01
Outstanding Chemical Engineering Teaching Assistant
SEMTE, Arizona State University
- 2017.05.01
Most Innovative Design Award (Capstone Project)
Arizona State University
Publications
-
BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data
IEEE/ACM Conference on Connected Health (CHASE)
-
System Identification and Hybrid Model Predictive Control in Personalized mHealth Interventions for Physical Activity
American Control Conference (ACC)
-
3DoF-KF HMPC: A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems
Control Engineering Practice
-
Data-Driven Control of Nonlinear Process Systems Using a Three-Degree-of-Freedom Model-on-Demand Model Predictive Control Framework
Industrial & Engineering Chemistry Research
-
Data-Driven Mobile Health: System Identification and Hybrid Model Predictive Control to Deliver Personalized Physical Activity Interventions
IEEE Open Journal of Control Systems