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PUI-PT COMBINATORICS AND GRAPH

CGANT UNIVERSITAS JEMBER

Combinatorics, Graph Theory and Network Topology

IPDP 2026: Explainable Deep Learning and Computer Vision Integrated Framework for Landslide Early Warning Using IoT Sensor Networks and Geospatial Analytics

We are proud to announce the implementation of the International Post Doctoral Program (IPDP) 2026, conducted through academic partnership between the University of Jember (Indonesia), Galgotias University (India), Adelaide University (Australia), and Kristu Jyoti College of Management and Technology, Changanassery, Kerala, India, under the coordination of the CGANT Research Group (Combinatorics, Graph Theory and Network Topology).

Research Title:

Explainable Deep Learning and Computer Vision Integrated Framework for Landslide Early Warning Using IoT Sensor Networks and Geospatial Analytics

Supervisory Team:

  • Prof. Drs. Dafik, M.Sc., Ph.D. (University of Jember, Indonesia)
  • Prof. Dr. R. Sunder (Galgotias University, India)
  • Falih Gozi Febrinanto, M.Tech., Ph.D. (Adelaide University, Australia)

Postdoctoral Researcher: Dr. Susheel George Joseph, Associate Professor, from Kristu Jyoti College of Management and Technology, Changanassery, Kerala, India.

This work contributes to the advancement of disaster risk reduction, geospatial intelligence, IoT-based monitoring, and explainable artificial intelligence, supporting global initiatives aligned with SDG 9 (Industry, Innovation, and Infrastructure), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action).

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