Programme

  09h00 - 09h30 Welcome address

• Workshop intro with a brief on the main research topics at the Machine Intelligence and Slope Stability Lab

Filippo Catani (Prof. University of Padova)

  09h30-11h00 Session 1: Machine intelligence for landslide susceptibility

• Deep learning of optical data for Automated Landslide Mapping and Susceptibility Assessment

Sansar Raj Meena (Prof. University of Padova)

• Landslide Susceptibility analysis using CNN and clustering based sampling

Jongchan Oh (Ph.D. candidate in Chonnam National University)

• Questions & Answers

  11h00 - 11h30 Short Break

  11h30 - 13h00 Session 2: Landslides in a changing climate

• Assessment of temporal probability for rainfall induced landslides considering change climate impacts

Hyuck-Jin Park (Prof. Sejong University)

• Comparative analysis of conventional and machine learning techniques for rainfall threshold evaluation under complex geological conditions

Nicola dal Seno (Ph.D. candidate in University of Bologna)

• Spatiotemporal landslide forecasting using learning models

Ascanio Rosi (Prof. University of Padova)

• Questions & Answers

  13h00 - 14h30 Lunch Break 

  14h30 - 16h00 - Session 3: SAR for landslide investigation

• Detection of active landslides through InSAR, strenghts and limitations

Alessandro Simoni (Prof. University of Bologna)

• Deep learning for All-Weather Landslide Rapid Assessment and Prediction

Lorenzo Nava (Ph.D. candidate in University of Padova)

• Sub-canopy topography estimation using polarimetric SAR interferometry

Yoon Taek Jung (Ph.D. candidate in Sejong University)

  16h00 - 16h30 Short Break

  16h30 - 17h00 Session 4

• Estimating the hydrograph of a debris flow event through low-cost field camera monitoring and Digital Particle Image Velocimetry

Alessandro Zuccarini (Ph.D. candidate in University of Bologna)

• Question & Answers

  17h00 - 17h15 Concluding Remarks

Filippo Catani (Prof. University of Padova)

Download the programme (draft)