Rafia Inam
Scholar

Rafia Inam

Google Scholar ID: 3hr4-M0AAAAJ
Senior Research Leader at Ericsson, Adjunct Professor at Royal Institute of Technology, Sweden.
Trustworthy AIExplainable AIAI/data science5G network slice and managementSafety analysis
Citations & Impact
All-time
Citations
1,018
 
H-index
16
 
i10-index
23
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Co-authored 50+ peer-reviewed scientific publications
  • Holds 60+ patent families
  • Best Paper Award at IEEE SOCNE 2015: “Towards automated service-oriented lifecycle management for 5G networks”
  • Best Paper Award at IEEE ETFA 2011: “Support for Hierarchical Scheduling in FreeRTOS”
  • Ericsson Top Performance Competition 2021 for AI in 5G network slice assurance
  • Ericsson Key Impact Award 2020
  • Key Contributor Award 2020 and 2023
  • Serves as Program Committee member, referee, and guest editor for multiple international conferences and journals
Research Experience
  • Nov 2021–present: Head of Trustworthy AI / Senior Research Manager, Ericsson AB
  • May 2022–present: Adjunct Professor, KTH Royal Institute of Technology
  • Feb 2019–Oct 2021: Senior Project Manager, Ericsson AB
  • Nov 2017–Feb 2019: Senior Researcher, Ericsson AB
  • Jan 2015–Nov 2017: Experienced Researcher, Ericsson AB
  • Conducting research at Ericsson since 2015 on 5G for industries, network slicing, AI-driven automation, and Intelligent Transport Systems
Background
  • Head of Trustworthy AI and Senior Research Manager at Ericsson
  • Adjunct Professor at KTH Royal Institute of Technology, Sweden
  • Research interests include: Trustworthy AI, Explainable AI (XAI), Explainable Reinforcement Learning (Explainable RL)
  • Focuses on EU AI Act-based standardization, AI risk assessment and mitigation
  • Applies AI to automation, safety, and service modeling in telecom and Cyber-Physical Systems (CPS)
  • Long-term research on 5G for industries, 5G network slicing and management, and Intelligent Transport Systems