~~NOTOC~~
=====Dr. Mareike Picklum=====
| {{:wiki:picklum_mareike.jpg?0x180}} ||||
|:::|Tel: |--49 -421 218 64010|
|:::|Fax: |--49 -421 218 64047|
|:::|Room: |1.77|
|:::|Mail: |<cryptmail>mareikep@cs.uni-bremen.de</cryptmail>|
|:::| ||

====About====
I am a postdoctoral researcher at the IAI, specializing in the development of probabilistic models for various applicatoins. I earned my PhD (Dr.rer.nat.) from the University of Bremen in May 2024. Before, I was a PhD student in the IAI group, supervised by Prof. Michael Beetz. 

I studied Computer Science at the University of Bremen (UoB) and the University of New South Wales (UNSW) and received my Master's degree in 2015. 
I wrote my Master's thesis under the supervision of Prof. Michael Beetz at the // Institute for Artificial Intelligence // at the UoB addressing the problem of recognizing objects based on natural-language descriptions using graphical probabilistic models. 

I am a contributor in the projects [[http://www.pracmln.org|pracmln]] and [[http://www.actioncores.org|PRAC]].
In particular, I developed the publicly available web services [[http://prac.open-ease.org/|PRACWeb]], inviting users to have a look at the PRAC system in operation and [[http://pracmln.open-ease.org|WebMLN]] allowing users to try out inference and learning algorithms of the pracmln system.

From 2017-2019 I was part of the initiative 'Farbige Zustände' (CRC 1232) which aims at the development of a novel experimental method for the development of materials. Within this collaborative research centre, I worked on a prototype and feasibility study for an intelligent cognitive software assistant that supports the work of material scientists in designing new materials. 

My [[https://doi.org/10.26092/elib/2990|PhD thesis]] is centered around the development of probabilistic models to anticipate the outcomes of robotic agents performing actions in various contexts. 
====Teaching====
  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws17|WS2017/18]]) (Tutorial/Co-Lecturer)  
  * Foundations of Artificial Intelligence (SS2017) (Tutorial)
  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws16|WS2016/17]]) (Tutorial)
  * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ai-ss16|SS2016]]) (Tutorial)
  * AI: Knowledge Acquisition and Representation ([[https://ai.uni-bremen.de/teaching/le-ki2-ws15|WS2015/16]]) (Tutorial)
  * Foundations of Artificial Intelligence ([[https://ai.uni-bremen.de/teaching/le-ai-ss15|SS2015]]) (Tutorial)

====Supervised Theses====
  * Crowdsourcing Instruction Data for Statistical Relational Learning (Bachelor's Thesis, Kevin Scheck)


====== Publications ======

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<bib>bibfiles/allpublications.bib</bib>
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