daisy

Nordjyske Medier published yesterday an article about Sapere Aude grant to our colleagues Katja Hose and Bin Yang. Katja’s research focuses on establishing a reliable Web of Data while Bin’s research on how artificial intelligence can make traffic greener and smarter. Sapere Aude grants aim at providing excellent young researchers, i.e. researchers who have already […]

Bin Yang received Sapere Aude Grant from Danmarks Frie Forskningsfond (Independent Research Fund Denmark). Sapere Aude grants aim at providing excellent young researchers, i.e. researchers who have already carried out top-class research in their field, with the opportunity to develop and strengthen their research ideas. Bin’s project titled “A Data-Intensive Paradigm for Dynamic, Uncertain Networks” […]

Katja Hose received Sapere Aude Grant from Danmarks Frie Forskningsfond (Independent Research Fund Denmark). Sapere Aude grants aim at providing excellent young researchers, i.e. researchers who have already carried out top-class research in their field, with the opportunity to develop and strengthen their research ideas. Katja’s project titled “Making the vision of a reliable Web […]

Katja Hose is appointed as Professor of Computer Science in the Center for Data Intensive Systems (Daisy), Aalborg University, thanks to a grant from Poul Due Jensen Foundation. Katja’s goal is to save us from being shipwrecked in the endless sea of information – or, in other words, to make sure that we have easier […]

Nguyen Thi Thao Ho has joined DAISY as an international postdoc under the supervision of Prof. Torben Bach Pedersen since June 2017. Her work will focus on large scale big data analytics. Specifically, her research agenda is built around big spatio-temporal data analytics and modeling: from identifying significant relationships and extracting top insights from big […]

The paper "Generation and Evaluation of Flex-Offers from Flexible Electrical Devices" (paper) by Bijay Neupane, Laurynas Šikšnys, and Torben Bach Pedersen is selected as the best paper in the eighth ACM International Conference on Future Energy Systems (ACM e-Energy 2017). The paper presents a state-of-the-arts flex-offers generation process to capture flexibility in the usage behavior […]

The paper "GeoSemOLAP: Geospatial OLAP on the Semantic Web Made Easy" (link) by Nurefşan Gür, Jacob Nielsen, Katja Hose, and Torben Bach Pedersen is selected as the best demo in the World Wide Web Conference (WWW'17) by reviewer's choice.

Some time ago, Professor Qiang Lu acquired a large and unique traffic camera data set. He and his Chinese collaborators believed that this data set contains very valuable information, including information about the practice of using fake license plates for the purpose of avoiding ticketing. Having received the data, he then needed to find out […]

Katja Hose gets prestigious grant for young female researchers. DFF-YDUN is a special program funded by the Danish Council for Independent Research that promotes a more balanced gender composition in Danish research. The call in 2014 was open to all disciplines and attracted a total number of 553 submissions, out of which 17 (3%) were […]

Daisy professor interviewed about Big Data Daisy Professor Torben Bach Pedersen has participated in an episode of “Eksperterne” (The Experts) aired by regional TV station TV2 Nord, where he is interviewed about the potential and problems of Big Data, and Daisy’s research in the area. The episode can be seen here: http://www.tv2nord.dk/arkiv/2014/02/12?video_id=46051&autoplay=1 (in Danish)