Big data is increasingly important in today’s commercial landscape. As a data scientist specializing in big data, you’ll help companies make sense of large amounts of structured and unstructured data, providing rapid insights that enable them to make better, quicker decisions.
Student/concession A registered student of a higher education institution or university. A valid student ID card will be required on the day of the workshop.
Dr Kolberg is a Senior Lecturer at the University of Stirling, UK. He is a member of the Communications and Services research group within the department. He is the academic supervisor in a Knowledge Transfer Partnership with Sysnet, a local SME, focusing on developing a Peer-to-Peer overlay for mobile handsets. He is also a co-investigator in the ESRC project Interlife where Iam working on using Peer-to-Peer networks with 3D virtual worlds in an educational context. He is also a co-investigator in the MATCH project, focusing on integrating different network technologies for care in the home. He was leading an effort providing a proof-of-concept demonstrating the integration of digital pen and paper with networked appliances. He have been for an extended research visits to Telcordia Technologies, NJ, USA, a leading presence in home automation, and Avaya Labs Research, NJ, USA, a leading internet telephony technology provider.
He is a Senior Member of the IEEE, and Series Editor for Consumer Communication and Networking of the IEEE Communications Magazine. He is also currently serving as TPC Chair of the IEEE Consumer Communications and Networking Conference (CCNC) 2011.I hold a PhD from the University of Strathclyde.
Dr Swingler is a Senior Lecturer in Computing Science and Mathematics at the University of Stirling, UK. His field of interest is artificial intelligence (AI), particularly data science, machine learning and computer vision.
His fundamental research is about neural networks, particularly their use in solving combinatoric optimisation problems. On the applied side, he is interested in data and AI in health and well being, particularly as an assistive technology.