<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>About me on Kamil Żbikowski, PhD</title><link>https://kzbikowski.github.io/</link><description>Recent content in About me on Kamil Żbikowski, PhD</description><generator>Hugo -- gohugo.io</generator><language>en</language><atom:link href="https://kzbikowski.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>About me</title><link>https://kzbikowski.github.io/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://kzbikowski.github.io/about/</guid><description>About me CEO @ Processifier Assistant Professor @ Institute of Computer Science, Politechnika Warszawska Linkedin Google Scholar
Research interests: process mining, application uses of machine learning/artificial intelligence, support vector machines.
Publications Żbikowski, Kamil, Michał Ostapowicz, and Piotr Gawrysiak. &amp;ldquo;Deep Reinforcement Learning for Resource Allocation in Business Processes.&amp;rdquo; International Conference on Process Mining. Cham: Springer Nature Switzerland, 2022.
Żbikowski, Kamil, and Piotr Antosiuk. &amp;ldquo;A machine learning, bias-free approach for predicting business success using Crunchbase data.</description></item><item><title>Contact</title><link>https://kzbikowski.github.io/contact/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://kzbikowski.github.io/contact/</guid><description>Email: kamil.zbikowski@pw.edu.pl
Adres Institute of Computer Science
Faculty of Electronics and Information Technology, Warsaw University of Technology
Room no. 302
Nowowiejska 15/19
00-665 Warszawa
Google Scholar
Linkedin</description></item><item><title>Teaching</title><link>https://kzbikowski.github.io/teaching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://kzbikowski.github.io/teaching/</guid><description>Teaching 25Z Data Bases, EDABA Lab 1 Lab 2 Lab 3 &amp;amp; 4 Lab 5</description></item></channel></rss>