Behzad Samadi

Behzad Samadi

Director of Innovation and Engagement

Advanced Intelligent Systems


I can help you form and manage an agile technical team to make proof-of-concept prototypes. I have a strong background in numerical algorithms and convex optimization. I have made mathematical models of physical systems such as vehicle dynamics systems (steering, suspension and braking), automotive engines and robots. I have years of education and experience in Electrical, Mechanical, Automotive, Control Engineering and applied mathematics.

I was a Senior Research Engineer at Maplesoft for more than 6 years working on symbolic methods, acausal modeling, algorithm optimization and automatic code generation with Toyota, Japan and the Toyota Technical Center in Ann Arbor. I have also been an Assistant Professor for three years. I used to teach Mechatronics to undergraduate and Convex Optimization to graduate students.

Currently, I lead the software team for the development of connected autonomous vehicles and mobile robotics at AIS. I have also acted as the product owner of a connected autonomous electric tow tractor and a UV-C disinfection robot. In addition, I work with the Model Based Systems Engineering (MBSE) and product management teams. The main business model of AIS is Robot as a Service (RaaS). Therefore, cloud services are a large part of the development process. In my role as the lead of the software team, I need to make sure that the embedded software, autonomy software and the web services teams work smoothly together based on automated tests.

  • Machine Learning
  • Automatic Code Generation
  • Model Predictive Control
  • Reinforcement Learning
  • Convex Optimization
  • Fault Detection, Isolation and Accommodation
  • Estimation Theory
  • PhD in Mechanical Engineering, 2008

    Concordia University

  • MSc in Electrical Engineering, 1999

    Amirkabir University of Technology

  • BSc in Electrical Engineering, 1996

    Sharif University of Technology

Recent Publications

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(2015). Piecewise-affine approximations for a powertrain control verification benchmark. ARCH14-15. 1st and 2nd International Workshop on Applied Verification for Continuous and Hybrid Systems.


(2014). A sum of squares approach to backstepping controller synthesis for piecewise affine and polynomial systems. International Journal of Robust and Nonlinear Control.

(2013). Active front-steering control of a sport utility vehicle using a robust linear quadratic regulator method, with emphasis on the roll dynamics. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

(2012). A convex formulation of controller synthesis for piecewise-affine slab systems based on invariant sets. 2012 IEEE 51st Annual Conference on Decision and Control (CDC).


(2012). PWATOOLS: A MATLAB toolbox for piecewise-affine controller synthesis. American Control Conference (ACC).