The Winner's Circle

The Winner's Circle

Cool projects. Raw talent. The right tools. With these ingredients student competition teams are winning competitions worldwide and shaping the future of automotive design, aerospace engineering, robotics, and many other technical fields.


The WARR Hyperloop team from the Technical University of Munich has won the first two SpaceX Hyperloop Pod Competitions, repeatedly building the fastest prototype in the race. The team used MATLAB and Simulink to optimize the design of the propulsion unit and to determine the optimal operation parameters.

The Cardiff Racing team, from Cardiff University, has been crowned the first winner of Formula Student UK from the UK. They used MATLAB throughout their design for tire data analysis and general data analysis. Cardiff Racing were also awarded the Exxon Mobil award for best innovation for their exhaust which had been designed recording the sound of the engine and using MATLAB to perform a Fast Fourier Transforms (FFTs) giving a visual representation of the frequencies produced.

This was also the first year the team used Simscape Multibody to analyse suspension behaviour in their car. 

EducEco 2017 electric Urban Concept winner, TUfast Eco Team from TU Munich, uses MATLAB and Simulink for vehicle simulation at all development phases, which helped them to develop an entirely new car in less than ten months. Furthermore, they rely on MATLAB and Simulink for driving strategy optimization, kinematics design, telemetry data analysis, and many other smaller design challenges.

EcoCAR 3 Year 1 Competition first place finisher, The Ohio State University, uses MATLAB and Simulink to validate architecture selection and controls development in their hybrid vehicle.

The number one ranked Formula Student team in the world, AMZ Racing from ETH Zurich, uses MATLAB and Simulink to run lap time simulations as a design tool for early stage concepts.

Formula Student Germany 2015 winner, DUT Racing from TU Delft, won with a stunning score of 923.02 of possible 1000 points. They interfaced their Simulink model to their engine control unit.

The Ohio State University’s Venturi / Buckeye Bullet racing team set a new world record of 341 mph with a top recorded speed of 358 mph. MATLAB was used extensively to convert and analyze millions of logged data points after each run of the car. The main vehicle control code is also reliant on Simulink and Stateflow.

University of Victoria Formula Hybrid Competition Team’s plug-in hybrid electric race car used a high-performance engine and a newly developed ultracapacitor ESS pack with optimized design and control using software-in-loop models developed using MATLAB tools. In the Formula Hybrid Competition, they have achieved 1st place in the Hybrid Vehicle Category, the Doug Gore Memorial Chassis Design Award, the General Motors Best Engineered Propulsion System Award, and FCA Industrial Design Award.

GreenTeam from University of Stuttgart, who uses Speedgoat Baseline as their main ECU and is the only team to do so in Formula Student Worldwide, won Formula Student Germany in August 2017 after winning Formula Student East in Hungary. Their entire development approach is utterly fast and robust. 

KA-RaceIng used Model-Based Design to implement torque vectoring for their 4WD vehicle. Mechanical engineers and computer scientists used MATLAB and Simulink to lead the racing team to first place in the Electric Overall category of Formula Student Germany (FSG) 2016 and first place in the Simulink Student Challenge.

TUfast Racing Team, from TU Muchich won the combustion car competition of Formula Student Germany 2016. They used MATLAB for lap time simulation which allowed them to perform parameter studies to evaluate racecar concepts and enabled them to take advantage of the benefits of the aerodynamic package.


Students from Slovak University of Technology and Inventum makerspace won the robot sprint category at the ISTROBOT 2017 competition. The team used Simulink and Stateflow to develop control strategy and quickly test/adjust necessary parameters.

College of Engineering, Pune won the title of “Best Usage of MathWorks Tools in Robocon India 2017” and won Robocon India 2017. The team used MATLAB and Simulink for building mechatronic system models and computer vision based algorithms.

Sweaty, UAS Offenburg’s soccer playing robot, placed second in the 2016 RoboCup World Championships in Leipzig. The team applied in-depth model-based design and code generation in Simulink for their development.

Students from Extraordinary Innovation Labs (EIL) annually compete in the North Houston BEST and Texas Regional BEST Robotics competition. In 2016, the EIL Programming Team used MATLAB and Simulink to incrementally write robot instruction code into separate stand-alone Simulink subsystems. They took first place in the Texas Regional 88 school competition and brought home the 2016 Simulink Design Award, Judge’s Choice Award, and placed in the top 10 in the BEST Award, Engineering Notebook, and Robot Competition categories.

Aluminum Falcon Robotics won the New England FIRST Robotics Championship 2016, including the "Innovation in Controls" award in the FIRST Robotics World Championships in St. Louis by using MATLAB and Simulink to develop sophisticated control algorithms that allowed their robot to autonomously drive and track a vision based target.

Junior Exhibition Achieve Charter Academy Metal Robots team finished first in Robofest's local, regional, and world championships using a MATLAB and Simulink based application to control a robot arm manipulator.

Brooks High School takes first place in the BEST Robotics 2015 Atlanta hub, and win's the regional Simulink Design Award by developing a highly adaptive control scheme for a remote controlled robot using Simulink and Stateflow.

Aluminum Falcon Robotics won the New England FIRST Robotics Championship 2016, including the "Innovation in Controls" award in the FIRST Robotics World Championships in St. Louis by using MATLAB and Simulink to develop sophisticated control algorithms that allowed their robot to autonomously drive and track a vision based target.

Manthano Christian Academy takes first place in the BEST Robotics 2015 Texas regional and win's the regional Simulink Design Award by developing a Simulink model of a robot's drivetrain to determine its efficiency and maneuverability.


SUAS 2015 competition second place finisher, Israel Institute of Technology, creates a MATLAB obstacle avoidance simulation for their flight vehicle.

RoboSub first place team, San Diego State University, uses Simulink to find the optimal parameters for their autonomous underwater vehicle's control system.

BioTech and Medical

iGEM 2015 Competition grand prize winner in the Overgrad category, TU Delft, modeled 3D printing of bacterial biofilm using MATLAB in order to determine the factors that have a strong influence on the biofilm strength.

iGEM 2016 competition Best Model winner, Team Manchester, from the University of Manchester implements an ensemble modelling approach using MATLAB to improve the design of their ethanol biosensor patch.

iGEM 2016 competition first runner-up, Team Sydney Australia from the University of Sydney, engineered bacteria in order to create an ethylene biosensor as a new and practical way of determining ethylene levels in fruits, which is a marker for fruit ripening process. The team used MATLAB and SimBiology to develop a gene regulation pathway model of their ethylene biosensor.

Medical Devices

PhysioNet/CinC 2016 Challenge third place team, from Cambridge University, uses MATLAB to design a neural network capable of classifying recordings of patients' heart sounds as normal or abnormal.

Math and Programming

31,199 teams and over 93,000 students participated in the CUMCM contest in 2016. MathWorks sponsored the MATLAB Innovation Award. Undergraduate team B044 won the award and used MATLAB to do mathematical modeling, numerical simulation, data visualization, and optimization.

Signal Processing

Team Beats on the Barbie from the University of New South Wales Sydney took first place in the IEEE Signal Processing Cup 2017. Forty universities participated in this global student competition to implement a real-time beat tracker. MATLAB played a key role in the prototyping and testing of the real-time beat tracking algorithm and guided the embedded system development.