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Staff photo Amber Zelvelder

Amber Zelvelder

I am a PhD student in the XAI team (explainable AI).  My research focus is RL, optimization, XAI, neural networks, etc.



Works at

Research assistant at Department of Computing Science
MIT-huset, Umeå universitet, MIT.D.443 Umeå universitet, 901 87 Umeå

I am a PhD student in the Explainable AI (XAI) team. I started my PhD in September of 2018. I am primarily researching Reinforcement Learning (RL) and Explainable AI (XAI). My plan is to eventually move to fuse these lines of research and investigate optimal methods of explaining RL algorithms (XRL). Ideally, I will show the efficiency in real or realistic scenarios. 

Apart from the above research, I have worked with business intelligence, database management, information analysis, software development and web development. Most of this experience is within the healthcare sector. I would be happy to work with or advise on these subject as well. 

Explainable and Transparent AI and Multi-Agent Systems: Third International Workshop on Explainable, Transparent AI and Multi-Agent Systems, EXTRAAMAS 2021, Virtual Event, May 3–7, 2021, Revised Selected Papers, Springer 2021 : 223-240
Zelvelder, Amber; Westberg, Marcus; Främling, Kary
Explainable, Transparent Autonomous Agents and Multi-Agent Systems, Switzerland: Springer 2019 : 205-219
Westberg, Marcus; Zelvelder, Amber; Najjar, Amro

Research groups

Group member