Christian Oberli

Vortragender Prof. Dr. Christian Oberli (Pontificia Universidad Católica de Chile)
Titel A sensor network-based early warning system for flash floods in the Andes: experiences from the field and open challenges.
Zeit Montag, 22. Oktober 2018 14:00 – 15:00 Uhr
Ort S3|20 Rundeturmstr. 10, Darmstadt
Raum 111
The Wireless Technologies Laboratory (LatinaUC) of the School of Engineering at Pontificia Universidad Católica de Chile has been developing sensor networks solutions for monitoring water resources in remote areas since 2010. Field tests have been underway since 2013 in applications such as early warnings of flash floods, monitoring catchments and intakes for hydroelectric power plants and studying snow hydrology. The talk will give an overview of these experiences and focus in more detail on the early warning system for flash floods. Technical aspects of the sensor devices developed in-house will be discussed and lessons learned in the field will be shared. The talk will conclude by identifying challenges and opportunities for future work."
Christian Oberli received the BS degree from the Pontificia Universidad Católica de Chile (PUC) in 1994 and graduated with highest honours in 1996 with a degree in Electrical Engineering and an MSc in automatic control applied to biomedical engineering. In late 1997 he was appointed junior faculty member of the Department of Electrical Engineering at PUC. In 1998 he was awarded the Fulbright Fellowship for pursuing graduate studies in the US, as well as the MIDEPLAN Fellowship from the Chilean government. Between 1999 and 2004 Dr. Oberli was a PhD student at the University of California at Los Angeles (UCLA), where he specialised broadband wireless communications. Dr. Oberli returned to the faculty of his Department at PUC in early 2005, where he currently holds an
appointment of associate professor and conducts research, development and education in wireless communications and embedded systems. His current research and development interests focus on wireless sensor networks and their application to monitoring water resources, for flow forecasting and early warning of flooding events.