Artificial Intelligence.md

Artificial Intelligence projects:

	Fluid Flow Simulation Using Physics-Informed Neural Networks Develop a Physics Informed Neural Network (PINN) for fluid flow simulation. Impact: Transform fluid dynamics with neural networks driving impactful innovations across industries. Expertise gained: Artificial Intelligence, Deep Learning, Modeling and Simulation, Neural Networks
	Classify RF Signals Using AI Use deep learning to classify wireless signals and perform real-world testing with software defined radios. Impact: Help to mitigate the ever-increasing RF interference problem in the developed world. Expertise gained: 5G, Artificial Intelligence, Deep Learning, Image Processing, Machine Learning, Neural Networks, Software-defined Radio, Wireless Communication
	Deep Image Prior for Inverse Problems in Imaging Use the Deep Image Prior to solve inverse problems in imaging. Impact: Implement the Deep Image Prior to provide high-quality solutions to inverse problems in imaging that are ubiquitous in industry. Expertise gained: Artificial Intelligence, Computer Vision, Deep Learning, Image Processing, Machine Learning, Neural Networks, Optimization, Signal Processing
	Music Composition with Deep Learning Design and train a deep learning model to compose music. Impact: Generative music models can be used to create new assets on demand. Expertise gained: Artificial Intelligence, Deep Learning, Machine Learning, Neural Networks, Audio
	Sentiment Analysis in Cryptocurrency Trading Build 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
	Top Quark Detection with Deep Learning and Big Data Develop a predictive classifier model able to discriminate jets produced by top quark decays from the background jets Impact: Reduce the interference of background jets and help the discovery of new fundamental physics Expertise gained: Artificial Intelligence, Big Data, Deep Learning, Physics
	Reinforcement Learning Based Fault Tolerant Control of a Quadrotor Develop a fault-tolerant controller for a quadcopter using model-based reinforcement learning. Impact: Improve safety of multi-rotor drones Expertise gained: Drones, Artificial Intelligence, Robotics, Control, Reinforcement Learning, UAV
	Human Motion Recognition Using IMUs Use Deep Learning and Inertial Measurement Units (IMU) data to recognize human activities and gestures. Impact: Enable the next generation of wearable electronic devices with motion recognition. Expertise gained: Artificial Intelligence, Deep Learning, Embedded AI, Neural Networks, Signal Processing
	Classify Object Behavior to Enhance the Safety of Autonomous Vehicles 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, Deep Learning, Machine Learning, Neural Networks, Reinforcement Learning, Sensor Fusion and Tracking
	Smart Watering System with Internet of Things 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
	Machine Learning for Motor Control 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
	Digital Twin and Predictive Maintenance of Pneumatic Systems 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
	Face Detection and Human Tracking Robot 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
	Disturbance Rejection Control for PMSM Motors 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
	Automatically Segment and Label Objects in Video 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
	Behavioral Modelling of Phase-Locked Loop using Deep Learning Techniques 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
	Signal Integrity Channel Feature Extraction for Deep Learning 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
	Speech Background Noise Suppression with Deep Learning 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
	Deep Learning for UAV Infrastructure Inspection Automate the process of infrastructure inspection using unmanned 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
	Simulation-Based Design of Humanoid Robots 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
	Signal Coverage Maps Using Measurements and Machine Learning Reduce the cost of 5G 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, 5G, Machine Learning, Wireless Communication
	Applying Machine Learning for the Development of Physical Sensor Models in Game Engine Environment 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
	Voice Controlled Robot 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
	Underwater Drone Hide and Seek 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