Data Compression for the Internet of Things
PhD defence, Wednesday 30 November 2022. Marcell Fehér.
During his PhD studies, Marcell Fehér studied data compression for the Internet of Things (IoT). Compression is an efficient technique to address the pressure on our digital infrastructure caused by the intense growth of Internet-connected sensors and devices. Marcell studied how novel compression methods can decrease data size and improve the efficiency of data analytics.
The new research findings bring significant savings in the whole lifecycle of IoT data, including its capture, transmission, analytics and storage.
The PhD study was completed at the Department of Electrical and Computer Engineering, Faculty of Technical Sciences, Aarhus University.
This summary was prepared by the PhD student.
Time: Wednesday, 30 November 2022 at 12:00
Place: Building 5123, room 313, Lecture Theatre Store Stoustrup, Department of Electrical and Computer Engineering, Aarhus University, Helsingforsgade 10, 8200 Aarhus N
Title of PhD thesis: On Compression for the Complete IoT Data Lifecycle: From Collection to Analytics
Contact information: Marcell Fehér, e-mail: email@example.com, tel.: +45 50 65 37 51
Members of the assessment committee:
Professor Reza Malekian, Department of Computer Science and Media Technology, Malmö University, Sweden
Professor Jan Østergaard, Department of Electronic Systems, Aalborg University, Denmark
Associate Professor Stefan Hallerstede (chair), Department of Electrical and Computer Engineering, Aarhus University, Denmark
Professor Daniel E. Lucani, Department of Electrical and Computer Engineering, Aarhus University, Denmark
Language: The PhD dissertation will be defended in English
The defence is public.
The PhD thesis is available for reading at the Graduate School of Technical Sciences/GSTS,
Jens Baggesens Vej 53, building 5221, 8200 Aarhus N.