Scholar
Rafia Inam
Google Scholar ID: 3hr4-M0AAAAJ
Senior Research Leader at Ericsson, Adjunct Professor at Royal Institute of Technology, Sweden.
Trustworthy AI
Explainable AI
AI/data science
5G network slice and management
Safety analysis
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Citations & Impact
All-time
Citations
1,018
H-index
16
i10-index
23
Publications
20
Co-authors
25
list available
Contact
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Publications
3 items
Textual Explanations and Their Evaluations for Reinforcement Learning Policy
arXiv.org · 2026
Cited
0
Explainable Reinforcement Learning via Temporal Policy Decomposition
2025
Cited
0
Explainable Reinforcement Learning via Temporal Policy Decomposition
2025
Cited
0
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
Co-authors
25 total
Elena Fersman
VP, Head of Global AI Accelerator at Ericsson, Adjunct Professor at Royal Institute of Technology
Co-author 2
Co-author 3
Athanasios Karapantelakis
Principal Researcher, Ericsson Research
Aneta Vulgarakis Feljan
Senior Research Leader in Artificial Intelligence at Ericsson AB
Co-author 6
Co-author 7
Konstantinos Vandikas
Principal Researcher at Ericsson AB
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