MLSP - Machine Learning & Signal Processing
The MLSP group at the Centre for Telecommunication Research & Innovation (CeTRI) is a cutting-edge research team bridging Artificial Intelligence (AI) and real-world signals. We specialize in analyzing data from EEG, EMG, speech, and images to develop robust machine learning models that enable automation, intelligent diagnostics, and assistive technologies. From brain–computer interfacing and audio analytics to real-time signal processing in healthcare, our mission is to push the boundaries of AI-driven signal interpretation. We champion the seamless fusion of hardware and software innovation, transforming raw signal data into intelligent, actionable solutions.
Machine Learning & Signal Processing (MLSP)
Niche Area
Core Research Areas
- Artificial Intelligence
Using smart computer systems that learn from data to make better decisions and solve complex problems automatically.
- Internet of Things
Connecting devices like sensors and cameras to share data and work together intelligently in real time.
- Computer Visions
Helping machines understand and interpret images or videos, just like how humans see and recognize things.
- Deep Learning
A powerful type of AI that learns from large amounts of data especially useful for recognizing images, objects, and patterns.
Application Domains
- Smart Agriculture
Using AI and images to monitor crops, detect diseases early, and support better farming decisions.
- Traffic Mobility Systems
Improving road safety and traffic flow by analyzing vehicle movements, signs, and congestion in real time.
- Solar Photovoltaic
Using computer vision to check solar panels, detect faults, and improve energy output efficiently.
- Mobile Robotics
Enabling robots to see, move, and make decisions on their own by processing visual information from their environment.
Machine Learning & Signal Processing (MLSP)