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PUI-PT COMBINATORICS AND GRAPH

CGANT UNIVERSITAS JEMBER

Combinatorics, Graph Theory and Network Topology

IPDP 2026: XPdM-IoT – Explainable Deep Learning IoT- based Smart Predictive Maintenance System for Industrial Equipment Using Multimodal Data

We proudly present another collaborative research initiative under the International Post Doctoral Program (IPDP) 2026, conducted through academic partnership between the University of Jember (Indonesia), Galgotias University (India), Adelaide University (Australia), and Madanapalle Institute of Technology & Science, Andhra Pradesh, India, under the coordination of the CGANT Research Group (Combinatorics, Graph Theory and Network Topology).

Research Title:

XPdM-IoT - Explainable Deep Learning IoT- based Smart Predictive Maintenance System for Industrial Equipment Using Multimodal Data

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: Rajeswari M, from the Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning), Madanapalle Institute of Technology & Science (MITS), Andhra Pradesh, India.

This work contributes to the advancement of predictive maintenance, explainable artificial intelligence, industrial IoT, and intelligent manufacturing systems, supporting global initiatives aligned with SDG 9 (Industry, Innovation, and Infrastructure) and SDG 12 (Responsible Consumption and Production).

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