Mohammad Behtash, Phd Email & Phone Number

United States

Phoenix, Arizona, United States

- Developed a lap time simulation tool and analyzed model correlations with track data to identify car setup sensitivities- Performing multibody dynamic simulations using Adams Car to help team fine tune the car setup for better track times

- Conducting battery tests using data acquisition systems to create machine learning models for battery control purposes.- Collaborated with John Deere to change the design of an IVT transmission to reduce life cycle costs and emissions.- Developed the GUI and backend of a design tool in Python, enabling life cycle analysis and FMEA of automotive components.- Developed a reliability-based topology optimization formulation using Gaussian process regression (Kriging) to address dimensional uncertainties, resulting in a 45% increase in the reliability of case study structures.

Integrated Vehicle Design Laboratory

- Developed control-oriented models of powertrains, chassis systems, and longitudinal vehicle dynamics using Simulink for ongoing control studies- Optimized torque blending in HEVs using optimal control for maximum efficiency, electric range, and 0-60 mph performance- Optimized force actuator control in active suspensions using optimal control for improved ride and handling under uncertainties- Optimized car following strategy in autonomous cars using optimal control considering safety and performance constraints- Developed a decentralized control algorithm for HEV powertrains using analytical target cascading to facilitate the final integration of cross-departmental design and control solutions- Authored several journal and conference publications on chassis and HEV control- Instructed a cohort of 90+ undergraduate students in MATLAB computer programming

-Organized and conducted a workshop focused on Simcenter Amesim for the FSAE team-Provided guidance on the modeling and simulation of vehicle powertrain and drive-train systems

Centennial, Colorado, United States

- Developed the backend of a suspension design tool in C++, enabling simulation and fine-tuning of springs, dampers, and tires for optimal ride quality- Employed linear system and control theories to analyze the suspension models in the above software- Developed a single-track vehicle model with nonlinear tire models and applied gradient-free optimization to improve handling at the limit

Doctor Of Philosophy - Phd, Mechanical Engineering, 3.95/4.00

𝗗𝗶𝘀𝘀𝗲𝗿𝘁𝗮𝘁𝗶𝗼𝗻: Reliability-Based Formulations for Simulation-Based Control Co-Design 𝗖𝗼𝘂𝗿𝘀𝗲𝘄𝗼𝗿𝗸: Powertrain Design and Analysis, Internal.

Master Of Science - Ms, Mechanical Engineering, 4.00/4.00

𝗧𝗵𝗲𝘀𝗶𝘀: A Decomposition-based Multidisciplinary Dynamic System Design Optimization Algorithm for Large-Scale Dynamic System Co-Design