Artificial Intelligence, Robotics, and Machine Learning
Our researchers in Artificial Intelligence, Robotics, and Machine Learning are at the forefront of developing transformative technologies that shape daily life. By combining advanced algorithms with cutting-edge hardware, our work drives innovation in autonomous systems, human-robot interaction, smart networks, and biomedical applications. From self-learning robotics to AI-driven decision-making, we push the boundaries of intelligent system development.
Our researchers collaborate with the Alberta Machine Intelligence Institute (Amii), a leading AI research institute based in Edmonton, to foster innovation and accelerate the translation of research into impactful applications.
Key Areas of Research:
Machine Learning & Data Mining:
- Developing AI algorithms for efficient data analysis and decision-making across industries.
Medical Robotics & Biomedical AI:
- Designing robotic systems for surgery, rehabilitation, and telemedicine.
- Using AI for optical imaging and ultrasound diagnostics.
Integrated Circuits & Systems:
- Developing efficient hardware for AI and machine learning applications.
Reinforcement Learning & Autonomous Systems:
- Advancing real-time, adaptive decision-making.
- Developing AI-driven solutions for smart grids, robotics, and IoT.
Intelligent Sensing & Control:
- Creating smart sensors and AI-driven control systems for optimized performance.
AI for Energy Systems:
- Applying AI to model, simulate, and optimize power systems, power electronics, and sustainable energy.
AI in Communication Systems:
- Enhancing 6G networks with AI-driven resource allocation, security, and edge intelligence.
- Developing autonomous, self-organizing, and self-healing network technologies.
Bioinformatics & Computational Biology:
- Leveraging AI for data analysis in genomics, proteomics, and biological modelling.
- Complex Fuzzy Logic & Optimization
- Exploring complex fuzzy logic for AI-driven problem-solving.
AI for Software Quality & User Experience:
- Using data analytics to enhance software quality.
- Improving testing and optimizing user experience in games and mobile apps.