KMi is a multidisciplinary R&D lab that has been at the forefront of innovation for the past 20 years. We lead in a number of areas, including Semantic Technologies, Educational Media, Social Media Analysis, Big Data, Smart Cities, IoT and others.
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People
I am one of the Systems & Network Administrators in the Systems team here at KMi. My role is to provide support for the department's I.T. infrastructure, including Windows, Linux, networking, server...
Research interests include collaborative learning, knowledge modelling and management, end-user programming environments, software visualization and cognitive modelling.
Testimonials
"If you are or want to be a brilliant mind, this is where you want to be!"
Valentina Presutti, Institute of Cognitive Science and Technologies, Italy
"I cannot imagine going to a conference without experiencing deep scientific conversations with KMiers!"
Raphaël Troncy, EURECOM: Graduate School & Research Center, France
"Top location for SW research for decades and going strong!"
Pascal Hitzler, Wright State University, USA
Publications
Antonini, A. and Lupi, L. (2019) Social AI for Engaging UbiComp, Halfway to the Future, Nottingham, UK
Mensio, M. and Alani, H. (2019) News Source Credibility in the Eyes of Different Assessors, Conference for Truth and Trust Online, London, UK
Celik, D., Mikroyannidis, A., Hlosta, M., Third, A. and Domingue, J. (2019) ADA: A System for Automating the Learning Data Analytics Processing Life Cycle, EC-TEL 2019 14th European Conference on Technology Enhanced Learning, Delft, Netherlands
Recent Seminars
Marcus Voss - Technische Universität
When are household load profiles similar? Comparing distance measures for Smart Meter Data Analytics
This event took place on Monday 22 July 2019
Shang Gao - University of Tennessee
Deep Learning for Information Extraction from Cancer Pathology Reports
This event took place on Tuesday 19 March 2019
Monica Ihli - Assistant Professor Librarian, University of Tennessee Libraries
Acknowledgement Lag, Impact, and Community Formation: Data-Driven Approaches for Describing Research Outcomes
This event took place on Monday 28 January 2019
Dr. Matti Nelimarkka - Aalto University, Department of Computer Science
Participation and Human-Computer Interaction
This event took place on Wednesday 23 January 2019
