Master student Jyoti Bhatia from IIT Indore is funded by the Female Talented Young Researchers (Talentutvikling eller Kjønnsbalanse Program).
She is doing a Master Thesis at UIA WISENET Centre, with Associate Professor Linga Reddy Cenkeramaddi as her Master Thesis supervisor and with the support of several other researchers from the Centre.
The Talentutvikling eller Kjønnsbalanse Program is promoted and supported by our Dean Michael Rygaard Hansen at the Faculty of Engineering and Science.
by Julia Cervera-Vallés
Wisenet Lab has been granted a UAV project called “Low-altitude UAV Communication and Tracking (LUCAT)", under Indo-Norwegian researcher projects within ICT call (INDNOR), in collaboration with IISc Bangalore, India.
The project will strengthen research collaboration between Norway and India within smart environments, communication technologies and address societal challenges by improving environmental monitoring and security and robustness in energy infrastructures.
Total number of applications processed for the call: 50 Number of projects awarded funding: 5 Total funding of LUCAT project: 10.3 MNOK (NFR funding: 10 MNOK)
Big Data meets Graph Signal Processing Baltasar Beferull-Lozano, professor, Universitetet i Agder
Oslo: Møte 21. februar 2018 at Norske Videnskaps-Akademi
There has been significant recent progress in the development of signal processing tools that operate directly over graph-structured data. Many datasets in multiple real applications can be modeled flexibly in terms of the so-called graph signals, where each node of the graph represents essentially one or several data time-series and the links connecting the nodes represent some type of space-time dependencies among the various data time-series. The emergence of very diverse and ubiquitous computing, communicating and sensing devices has led to an era where huge amounts of data (big data) are generated constantly. Examples of applications include industrial plants, cyber-physical networked sensor systems, water distribution networks, connectivity brain networks, finance networked systems and social networks, among others. This talk will provide an overview about the recent area of Graph Signal Processing, exploring recent results, challenges and applications. We will illustrate the key concepts and cover different data processing methods for machine learning tasks over graph signals, their computational efficiency, and their impact in several important applications.
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The skills generated by this projects will be a long-term resource for digitalization in business and public sector, 23 projects are on to the second round when the Research Council is to strengthen basic ICT research in Norway. UiA WISENET leads one of the projects that are in for the second round.