Model satellites in Low Earth Orbit (LEO) to identify conjunctions and prevent collisions with space debris, while maintaining orbital requirements.

</td>
</tbody>
 |
your own cryptocurrency trading strategies based on sentiment analysis.
Impact: Have a foundation on the potential opportunities on Environmental, Social, and Governance (ESG) portfolio analysis.
Expertise gained: Artificial Intelligence, Deep Learning, Machine Learning, Text Analytics
 |
 |
Model and control an autonomous snake-like robot to navigate an unknown environment.
Impact: Advance robotics design for hazardous environments inspection and operation in constricted spaces.
Expertise gained: Robotics, Manipulators, Modeling and Simulation
 |
 |
Detect traffic lights and perform traffic light negotiation at an intersection in Unreal environment.
Impact: Contribute to the advancement of autonomous vehicles traffic coordination in intersections through simulation.
Expertise gained: Autonomous Vehicles, Computer Vision, Automotive, Control, Deep Learning, Image Processing, Modeling and Simulation, Sensor Fusion and Tracking  |
 |
Analyze real-world traffic data to understand, model, and predict human driving trajectories.
Impact: Contribute to autonomous driving technologies and intelligent transportation research.
Expertise gained: Big Data, Autonomous Vehicles, Support Vector Machines, Machine Learning, Deep Learning, Automotive

|
 |
Automatically classify behavior of tracked objects to enhance the safety of autonomous systems.
Impact: Make autonomous vehicles safer by classifying behaviors of objects around them.
Expertise gained: Artificial Intelligence, Autonomous Vehicles, Robotics, Drones, Deep Learning, Explainable AI, Machine Learning, Mobile Robots, Neural Networks, Reinforcement Learning, Sensor Fusion and Tracking, UAV, UGV, Automotive
 |
 |
Develop a realtime collision avoidance system using ROS2 that will execute a safe vehicle response.
Impact: Contribute to improving access and safety of transportation through robust automated driving systems.
Expertise gained: Autonomous Vehicles, Robotics, Automotive, Image Processing, Modeling and Simulation, Sensor Fusion and Tracking, Low-Cost Hardware  |
 |
Develop a smart plant water system using Internet of Things (IoT) and low-cost hardware.
Impact: Minimize the negative effects of the overuse of water in farming and preserve water resources.
Expertise gained: Sustainability and Renewable Energy, Artificial Intelligence, IoT, Low-Cost Hardware, Deep Learning, Cloud Computing
 |
 |
Enhance the performance and product quality required to develop a motor control application.
Impact: Contribute to the global transition to smart manufacturing and electrification.
Expertise gained: Artificial Intelligence, Control, Machine Learning, Reinforcement Learning, Automotive
 |
 |
Build a mini drone and use the PX4 Hardware Support package to design the flight controller using Simulink.
Impact: Expedite UAV design and assembly with Model-Based Design.
Expertise gained: Drones, Autonomous Vehicles, Control, Low-cost Hardware, UAV  |
 |
Design a portable charger for Electric Vehicles.
Impact: Help make electric vehicles more reliable for general use.
Expertise gained: Sustainability and Renewable Energy, Control, Electrification, Modeling and Simulation
 |
 |
Predict faults in pneumatic systems using simulation and AI/machine learning.
Impact: Improve efficiency and reliability of industrial processes.
Expertise gained: Artificial Intelligence, Industry 4.0, Cyber-Physical Systems, Digital Twins, Embedded AI, Health Monitoring, IoT, Machine Learning, Modeling and Simulation  |
 |
Design and implement a real time autonomous human tracking robot using low-cost hardware.
Impact: Leverage mobile technology and deep learning to advance human detection algorithms for impacting human safety and security.
Expertise gained: Artificial Intelligence, Computer Vision, Robotics, Deep Learning, Embedded AI, Human-Robot Interaction, Mobile Robots, Modeling and Simulation, Machine Learning, Low-cost Hardware, Image Processing, Control
 |
 |
Perform robust visual SLAM using MATLAB Mobile sensor streaming.
Impact: Enable visual SLAM from streaming sensors and extend the state-of-art in real-time visual SLAM algorithms.
Expertise gained: Autonomous Vehicles, Computer Vision, Drones, Robotics, Automotive, AUV, Mobile Robots, Manipulators, Humanoid, UAV, UGV
 |
 |
Simulate multirobot interactions for efficient algorithm design and warehouse operations.
Impact: Advance the automation of warehouse applications and reduce associated time and energy consumption.
Expertise gained: Autonomous Vehicles, Robotics, Human-Robot Interaction, Humanoid, Mobile Robots  |
 |
Develop a lightweight Synthetic Aperture Radar (SAR) raw data simulator.
Impact: Accelerate design of SAR imaging systems and reduce time and cost for their development for aerial and terrestrial applications
Expertise gained: Autonomous Vehicles, Automotive, AUV, Image Processing, Signal Processing, Radar Processing  |
 |
Develop an efficient method for detecting small changes on Earth surface using hyperspectral images.
Impact: Revolutionize the management of natural resources, monitoring, and preventing of disasters, going beyond what is visible to the naked eye.
Expertise gained: Computer Vision, Image Processing, Deep Learning
 |
 |
Design and implement a motion planning algorithm for off-road vehicles on rough terrain.
Impact: Expand the frontiers of off-road exploration and navigation using mobile robots for precision agriculture, firefighting, search and rescue, and planetary exploration.
Expertise gained: Autonomous Vehicles, Computer Vision, Robotics, Image Processing, Mobile Robots, SLAM, UGV, Optimization
 |
 |
Develop an algorithm to compute an optimal path for racing tracks.
Impact: Push racing car competitions into fully autonomous mode
Expertise gained: Autonomous Vehicles, Automotive, Optimization, Modeling and Simulation
 |
 |
Implement Active Disturbance Rejection Control (ADRC) algorithm for closed-loop speed control system for a Permanent Magnet Synchronous Motors (PMSM).
Impact: Improve the customer experience with advanced control strategies to handle the sudden changes in the load with better dynamic control performance.
Expertise gained: Artificial Intelligence, Electrification, Control, Modeling and Simulation, Reinforcement Learning  |
 |
Design an antenna to optimize transmission and reception in indoor environment.
Impact: Maximize indoor radio signal coverage and reduce energy consumption of signal booster devices.
Expertise gained: Wireless Communication, Optimization, Smart Antennas  |
 |
Design a large antenna array and optimize its multiple design variables to achieve desired transmission/reception characteristics.
Impact: Advance long distance communication capabilities for astronomical applications
Expertise gained: Wireless Communication, Smart Antennas, Optimization  |
 |
Develop a model of a reversible fuel-cell integrated into a renewable-energy microgrid structure.
Impact: Contribute to the global transition to zero-emission energy sources through the production of hydrogen from clean sources.
Expertise gained: Sustainability and Renewable Energy, Electrification, Digital Twins, Modeling and Simulation
 |
 |
Implement algorithms to automatically label data for deep learning model training.
Impact: Accelerate the development of robust AI algorithms for self-driving vehicles.
Expertise gained: Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning
 |
 |
Leverage a deep learning approach to extract behavioral models of mixed-signal systems from measurement data and circuit simulation.
Impact: Accelerate mixed-signal design and analysis thereby reducing Time-To-Market for semiconductor companies.
Expertise gained: Artificial Intelligence, Deep Learning, Machine Learning, Modeling and Simulation, Neural Networks, RF and Mixed Signal, Optimization, Signal Processing
 |
 |
Build and evaluate an electrical household heating system to help minimize human environmental impact and halt climate change.
Impact: Contribute to the global transition to zero-emission energy sources by electrification of household heating.
Expertise gained: Sustainability and Renewable Energy, Digital Twins, Electrification, Modeling and Simulation  |
 |
Evaluate electric aircraft energy requirements, power distribution options, and other electrical technologies.
Impact: Contribute to the global transition to zero-emission energy sources by electrification of flight.
Expertise gained: Sustainability and Renewable Energy, Digital Twins, Electrification, Modeling and Simulation, Zero-fuel Aircraft  |
 |
Develop a deep learning approach for signal integrity applications.
Impact: Accelerate signal integrity design and analysis to enable society with more robust and connected internet communications.
Expertise gained: Artificial Intelligence, Deep Learning, Machine Learning, Modeling and Simulation, Neural Networks, RF and Mixed Signal
<p align="right"; style="margin-top:1px;"></p>
 |
 |
Improve the reliability of wind turbines by using machine learning to inform a predictive maintenance model.
Impact: Contribute to providing the world with reliable green energy.
Expertise gained: Industry 4.0, Sustainability and Renewable Energy, Machine Learning, Electrification, Modeling and Simulation, Predictive Maintenance, Wind Turbines
 |
 |
Improve performance, stability, and cost effectiveness of data centers by designing a cooling algorithm that keeps the system running as efficiently as possible.
Impact: Contribute to the performance, reliability, and efficiency of data centers worldwide.
Expertise gained: Big Data, Sustainability and Renewable Energy, Cloud Computing, Control, Deep Learning, Modeling and Simulation, Parallel Computing, Predictive Maintenance
 |
 |
Model a modern HVAC system and design a controller to improve heating, cooling, ventilation, air quality, pressure, humidity, and energy efficiency.
Impact: Contribute to the design and control of modern homes and buildings to preserve energy and healthy living environments.
Expertise gained: Sustainability and Renewable Energy, Modeling and Simulation, Electrification, Control
 |
 |
Improve range, performance, and battery life by designing a cooling algorithm that keep EV battery packs cool when they need it most.
Impact: Contribute to the electrification of transport worldwide. Increase the range, performance, and battery life of EVs.
Expertise gained: Autonomous Vehicles, Sustainability and Renewable Energy, Automotive, Control, Electrification, Modeling and Simulation, Optimization
 |
 |
Develop a deep learning neural network for audio background noise suppression.
Impact: Advance hearing aid technology through research in speech enhancement and noise suppression and improve the quality of life of persons with a hearing impairment.
Expertise gained: Artificial Intelligence, Deep Learning, Neural Networks, Signal Processing
 |
 |
Improve the accuracy of satellite navigation systems by using non-binary LDPC codes.
Impact: Accelerate the development of modern satellite navigation receivers.
Expertise gained: Wireless Communication, GNSS  |
 |
Monitor and control an industrial scale bioreactor process for pharmaceutical production.
Impact: Improve quality and consistency of pharmaceutical products and contribute to transitioning the pharmaceutical sector to Industry 4.0.
Expertise gained: Big Data, Industry 4.0, Control, IoT, Modeling and Simulation, Optimization, Machine Learning  |
 |
Automate the process of infrastructure inspection using \ aerial vehicles and deep learning.
Impact: Enhance safety and speed of infrastructure inspection across a wide range of industries.
Expertise gained: Computer Vision, Drones, Artificial Intelligence, Robotics, UAV, SLAM, Deep Learning
 |
 |
Design a 3D virtual environment to test the diverse conditions needed to develop an autonomous vehicle.
Impact: Contribute to autonomous vehicle development by creating virtual test scenes that can be used with many simulators across multiple vehicle development programs.
Expertise gained: Autonomous Vehicles, Automotive, Modeling and Simulation
 |
 |
Develop and use models of humanoid robots to increase understanding of how best to control them and direct them to do useful tasks.
Impact: Accelerate the deployment of humanoid robots to real-world tasks including in healthcare, construction, and manufacturing.
Expertise gained: Artificial Intelligence, Robotics, Control, Cyber-Physical Systems, Deep Learning, Humanoid, Human-Robot Interaction, Machine Learning, Mobile Robots, Modeling and Simulation, Optimization, Reinforcement Learning  |
 |
Design an intelligent fan cooling system to moderate temperatures in a building to eliminate or reduce the need for air conditioning systems.
Impact: Contribute to energy and carbon footprint reduction.
Expertise gained: Sustainability and Renewable Energy, Control, Modeling and Simulation, Optimization
 |
 |
Reduce the cost of Wireless Communication and IoT network deployment by generating coverage maps from limited measurements.
Impact: Contribute to the evolution and deployment of new wireless communications systems.
Expertise gained: Artificial Intelligence, Wireless Communication, Machine Learning
 |
 |
Realistic synthetic sensor data will soon eliminate the need of collecting tons of real data for machine learning based perception algorithms. Accelerate this transition by creating a real-time camera distortion model.
Impact: Reduce development efforts of autonomous vehicles and robots.
Expertise gained: Artificial Intelligence, Autonomous Vehicles, Computer Vision, Deep Learning, Machine Learning, Modeling and Simulation, Neural Networks  |
 |
Help accelerate the design and development of autonomous systems by providing a framework for mechanical actuators analysis and selection.
Impact: Help evaluate and select actuation systems across multiple industries (robotic, automotive, manufacturing, aerospace) and help designers come up with novel actuation solutions.
Expertise gained: Drones, Robotics, Control, Cyber-physical Systems, Electrification, Humanoid, Manipulators, Modeling and Simulation
 |
 |
Reduce the effort required to properly develop a battery pack optimized for an automotive drive cycle.
Impact: Contribute to the global transition to zero-emission energy source.
Expertise gained: Sustainability and Renewable Energy, Control, Electrification, Optimization, Parallel Computing  |
 |
Rotor-flying manipulation will change the future of aerial transportation and manipulation in construction and hazardous environments. Take robotics manipulation to the next level with an autonomous UAV.
Impact: Transform the field of robot manipulation.
Expertise gained: Drones, Robotics, Manipulators, Modeling and Simulation, UAV  |
 |
Internal combustion engines will continue to be used in the automotive marketplace well into the future. Build a MIMO airflow control to improve engine performances, fuel economy, and emissions, and start your career in the automotive industry!
Impact: Improve environmental friendliness of engine control by tier 1 automotive supplier.
Expertise gained: Autonomous Vehicles, Automotive, Control, Modeling and Simulation
 |
 |
Smart devices and robots have become part of our everyday life and human-robot interaction plays a crucial role in this rapidly expanding market. Talking to a machine is going to complete change the way we work with robots.
Impact: Open up the opportunities to create robots that can be an intuitive part of our world.
Expertise gained: Artificial Intelligence, Computer Vision, Robotics, Signal Processing, Natural Language Processing, Mobile Robots, Human-Robot Interaction, Low-Cost Hardware
 |
 |
Legged robots with manipulators will be the ideal platforms to traverse rough terrains and interact with the environment. Are you ready to tackle the challenge of operating robots outdoor?
Impact: Contribute to state-of-the-art technologies for exploration and search and rescue transformation.
Expertise gained: Robotics, Control, Image Processing, Manipulators, Mobile Robots, Modeling and Simulation
 |
 |
After robots conquered ground, sky and space, they are going deep sea next. Explore the frontier of autonomous underwater vehicles by doing a project on robot collaboration and competition underwater.
Impact: Advance underwater exploration and AUVs collaboration for the future of ocean engineering.
Expertise gained: Artificial Intelligence, Robotics, AUV, Embedded AI, Machine Learning, Reinforcement Learning, Sensor Fusion and Tracking, SLAM  |
 |
Revolutionize the current transportation system by improving autonomous vehicles localization for level 5 automation.
Impact: Contribute to the change of automobile industry, and transportation system.
Expertise gained: Computer Vision, Robotics, Autonomous Vehicles, SLAM, State Estimation, Sensor Fusion and Tracking
 |
</table>