Data Analytics For Intelligent And Autonomous Systems (Delta)

Data Analytics For Intelligent And Autonomous Systems (Delta) company information, Employees & Contact Information

The DeLTA (Data Analytics for Intelligent and Autonomous Systems) Research Group is a multidisciplinary team within the Artificial Intelligence, Virtual Communications, and Networks (AVCN) Research Institute at the University of the West of Scotland. --Mission and Goals-- DeLTA aims to advance data analytics capabilities to tackle global challenges at individual, national, and international levels across diverse sectors, including education, finance, healthcare, and business. Recognizing the growing demand for technological advancements in data analytics, DeLTA focuses on innovating how data is collected, processed, analyzed, and shared with stakeholders. With the recent surge in the application of machine learning and artificial intelligence to various forms of data, the need to address challenges in end-to-end data analytics has become increasingly critical for developing intelligent and autonomous systems. DeLTA approaches these challenges through the principles of fairness, ethics, and auditability, aiming to derive value from data and create meaningful opportunities for data owners and stakeholders. --Expertise and Research Focus-- DeLTA Research Group members have expertise in: • Artificial Intelligence (AI) and Machine/Deep Learning • Cybersecurity and Network Security • Data Science, Big Data, and Data Analytics • Internet of Things (IoTs), Robotics, and Sensor Networks • Cloud/Edge Computing and Blockchain/Distributed Technologies • Scheduling Optimization and Logistics Management • Connected and Remote Healthcare • Digital Twins and Chatbots • User Experience (UX) Research • AI for United Nations Sustainable Development Goals (SDGs) --Projects and Collaboration-- The group actively participates in publicly funded projects, such as Knowledge Transfer Partnerships (KTPs) and Research Council-funded initiatives. DeLTA is open to collaborations with industry partners and welcomes PhD students interested in contributing to cutting-edge research.
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