Learning Systems and
Cybernetics Lab
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ABOUT US
The activities of the Learning Systems and Cybernetics Lab (LSCLab) team are focused on the theoretical aspects of machine learning, data mining, big data analytics, and computational intelligence and their applications for cybernetics and the security of cyber-physical systems. The principal research methodology of the lab is the development of novel techniques for learning from data streams under harsh conditions. The key framework of the research team's industrial activities is the application of learning systems to guarantee the secure and safe operations of cyber-physical systems.
We are currently working on different projects related to learning systems and cybersecurity. Dr. Roozbeh Razavi-Far is the director of LSCLab. Our group is committed to the principles of equity, diversity and inclusion (EDI) in all activities including the recruitment of students, training and retention. We aim to foster a diverse, equitable, and inclusive environment, assuring our graduates meet the requirements of the diverse communities, where all can work together.