{"id":10473,"date":"2026-02-25T11:12:54","date_gmt":"2026-02-25T10:12:54","guid":{"rendered":"https:\/\/www.kde.cs.uni-kassel.de\/?page_id=10473"},"modified":"2026-10-22T11:52:50","modified_gmt":"2026-10-22T09:52:50","slug":"sharma","status":"publish","type":"page","link":"https:\/\/www.kde.cs.uni-kassel.de\/en\/sharma","title":{"rendered":"Anurag Sharma"},"content":{"rendered":"<div id=\"trailimageid\"><img decoding=\"async\" id=\"ttimg\" src=\"https:\/\/www.kde.cs.uni-kassel.de\/wp-content\/plugins\/bibsonomy-csl\/img\/loading.gif\"><\/div> <div style=\"display: flex; flex-wrap: wrap; justify-content: space-between; gap: 20px; align-items: flex-start;\">\n<div style=\"flex: 1 1 250px; min-width: 0;\">\n<p><strong>Anurag Sharma<\/strong><\/p>\n<p><a href=\"https:\/\/map.uni-kassel.de\/?p=1&amp;b=79&amp;f=181&amp;l=31503&amp;lang=de&amp;search_text=0440\">Raum 0440<\/a><br \/>\n<a href=\"https:\/\/www.uni-kassel.de\/uni\/\">Universit\u00e4t Kassel<\/a><br \/>\n<a href=\"https:\/\/www.uni-kassel.de\/eecs\/\">Fachbereich Elektrotechnik\/Informatik<\/a><br \/>\n<a href=\"https:\/\/www.kde.cs.uni-kassel.de\/\">Fachgebiet Wissensverarbeitung<\/a><br \/>\nWilhelmsh\u00f6her Allee 73<br \/>\n34121 Kassel<br \/>\nTel.: +49 561 804-6253<br \/>\nEmail: <a href=\"mailto:sharma@cs.uni-kassel.de\">sharma@cs.uni-kassel.de<\/a><br \/>\nORCID: <a href=\"https:\/\/orcid.org\/0009-0000-8292-3092\">0009-0000-8292-3092<\/a><br \/>\nCode: <a href=\"https:\/\/github.com\/anuragxorma\">github.com\/anuragxorma<\/a><\/p>\n<\/div>\n<div style=\"flex: 0 0 auto;\"><img decoding=\"async\" src=\"https:\/\/www.kde.cs.uni-kassel.de\/wp-content\/uploads\/2026\/10\/anurag_sharma.jpg-767x1024.jpeg\" alt=\"Anurag Sharma\" style=\"max-width: 100%; height: auto; width: 195px; border-radius: 4px;\" \/><\/div>\n<\/div>\n<h2>About Me<\/h2>\n<div><span>I am a researcher at the Knowledge and Data Engineering Group at the University of Kassel. My work focuses on conceptual scaling, nested line diagrams, and methods for analyzing and visualizing structured data. My background is in astroparticle physics, where I used machine learning for event classification, and both fields remain close to my interests.<\/span><\/div>\n<div>\n<h2>Publications<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2608.13630\"><\/a><\/h2>\n<p><span class=\"description\"><ul class=\"bibsonomycsl_publications\"><li class=\"bibsonomycsl_pubitem\"><div class=\"bibsonomycsl_entry\"><div class=\"csl-bib-body\">\n  <div class=\"csl-entry\"><div class=\"csl-left-margin\"><span style=\"display: none;\">1.<\/span><\/div><div class=\"csl-right-inline\"><span class=\"csl-author\">Sharma, A., N\u00f6hre, M., Stumme, G.: <\/span><span class=\"csl-title\"><span class=\"csl-title\">Exploring ESC Winners with Nested Diagrams<\/span><\/span>, https:\/\/arxiv.org\/abs\/2608.13630, (2026). https:\/\/doi.org\/https:\/\/doi.org\/10.48550\/arXiv.2608.13630.<\/div><\/div>\n<\/div><span class=\"bibsonomycsl_url\"><a href=\"https:\/\/arxiv.org\/abs\/2608.13630\" target=\"_blank\">URL<\/a><\/span><span class=\"bibsonomycsl_export bibsonomycsl_bibtex\"><a rel=\"bib-25b186a4ea264c5ba2551e03f9d76fdc\" href=\"#\">BibTeX<\/a><\/span><span class=\"bibsonomycsl_export bibsonomycsl_endnote\"><a rel=\"end-25b186a4ea264c5ba2551e03f9d76fdc\" href=\"#\">EndNote<\/a><\/span><span class=\"bibsonomycsl_url\"><a href=\"https:\/\/doi.org\/10.48550\/arXiv.2608.13630\" target=\"_blank\">DOI<\/a><\/span><span class=\"bibsonomycsl_url\"><a href=\"https:\/\/www.bibsonomy.org\/bibtex\/25b186a4ea264c5ba2551e03f9d76fdc\/a.sharma\" target=\"_blank\">BibSonomy<\/a><\/span><div style=\"clear: left\"> <\/div><div class=\"bibsonomycsl_collapse bibsonomycsl_pub_abstract\" style=\"display:none;\" id=\"abs-25b186a4ea264c5ba2551e03f9d76fdc\">We present ConceptFlow, a scikit-learn-compatible Python library for Formal Concept Analysis that constructs and renders nested line diagrams from many-valued formal contexts. Given a many-valued context and a partition of its attributes into conceptual scales, ConceptFlow performs conceptual scaling, computes the factor lattices, identifies filled nodes of the corresponding subdirect product, and produces an interactive visualization. We apply ConceptFlow to the winners of the Eurovision Song Contest from 1975 to 2025, exploring relationships between voting patterns and musical characteristics. Voting support is captured by an outer scale spanning regional, cultural, historical, and political dimensions, while an inner scale captures musical characteristics via tempo and key. The resulting nested line diagram reveals implications across both scales, exposing dependencies between how winning entries were voted for and the musical properties they share.<\/div><div class=\"bibsonomycsl_collapse bibsonomycsl_pub_bibtex\" style=\"display:none;\" id=\"bib-25b186a4ea264c5ba2551e03f9d76fdc\"><p>@misc{sharma2026exploringescwinnersnested,<br\/>  abstract = {We present ConceptFlow, a scikit-learn-compatible Python library for Formal Concept Analysis that constructs and renders nested line diagrams from many-valued formal contexts. Given a many-valued context and a partition of its attributes into conceptual scales, ConceptFlow performs conceptual scaling, computes the factor lattices, identifies filled nodes of the corresponding subdirect product, and produces an interactive visualization. We apply ConceptFlow to the winners of the Eurovision Song Contest from 1975 to 2025, exploring relationships between voting patterns and musical characteristics. Voting support is captured by an outer scale spanning regional, cultural, historical, and political dimensions, while an inner scale captures musical characteristics via tempo and key. The resulting nested line diagram reveals implications across both scales, exposing dependencies between how winning entries were voted for and the musical properties they share.},<br\/>  author = {Sharma, Anurag and N\u00f6hre, Marcel and Stumme, Gerd},<br\/>  keywords = {itegpub},<br\/>  month = {08},<br\/>  title = {Exploring ESC Winners with Nested Diagrams},<br\/>  year = 2026<br\/>}<br\/><\/p><\/div><div class=\"bibsonomycsl_collapse bibsonomycsl_pub_endnote\" style=\"display:none;\" id=\"end-25b186a4ea264c5ba2551e03f9d76fdc\"><p>%0 Generic<br\/>%1 sharma2026exploringescwinnersnested<br\/>%A Sharma, Anurag<br\/>%A N\u00f6hre, Marcel<br\/>%A Stumme, Gerd<br\/>%D 2026<br\/>%R https:\/\/doi.org\/10.48550\/arXiv.2608.13630<br\/>%T Exploring ESC Winners with Nested Diagrams<br\/>%U https:\/\/arxiv.org\/abs\/2608.13630<br\/>%X We present ConceptFlow, a scikit-learn-compatible Python library for Formal Concept Analysis that constructs and renders nested line diagrams from many-valued formal contexts. Given a many-valued context and a partition of its attributes into conceptual scales, ConceptFlow performs conceptual scaling, computes the factor lattices, identifies filled nodes of the corresponding subdirect product, and produces an interactive visualization. We apply ConceptFlow to the winners of the Eurovision Song Contest from 1975 to 2025, exploring relationships between voting patterns and musical characteristics. Voting support is captured by an outer scale spanning regional, cultural, historical, and political dimensions, while an inner scale captures musical characteristics via tempo and key. The resulting nested line diagram reveals implications across both scales, exposing dependencies between how winning entries were voted for and the musical properties they share.<br\/><\/p><\/div><\/div><\/li><\/ul><\/span><\/p>\n<\/div>\n<div>\n<h2>Awards<\/h2>\n<table>\n<tbody>\n<tr>\n<td><strong>EUREKA Award<\/strong><\/td>\n<td><a href=\"https:\/\/concepts2026.org\/\">CONCEPTS 2026<\/a>, for <em><a href=\"https:\/\/arxiv.org\/abs\/2608.13630\">Exploring ESC Winners with Nested Diagrams<\/a><\/em><\/td>\n<\/tr>\n<tr>\n<td><strong>3rd place, Creative Topic<\/strong><\/td>\n<td>Graph Drawing Contest (<a href=\"https:\/\/graphdrawing.github.io\/gd2026\/\">GD 2026<\/a>): visualizing Eurovision voting patterns over time<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div>\n<h2>Teaching<\/h2>\n<table>\n<tbody>\n<tr>\n<td>Winter Term 2026\/27<\/td>\n<td><a href=\"https:\/\/www.kde.cs.uni-kassel.de\/lehre\/ws2026-27\/cda\">Conceptual Data Analysis<\/a> (Exercises)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div>\n<h2 id=\"supervision\">Supervision<\/h2>\n<p>If you are looking for a project or a bachelor&#8217;s or master&#8217;s thesis, you can explore our <a href=\"https:\/\/www.kde.cs.uni-kassel.de\/lehre\/ws2026-27\/projekt\">predefined topics<\/a> or bring your own ideas. Feel free to contact me to discuss possible directions. I am currently supervising:<\/p>\n<ul>\n<li>Evaluating Attribute Partitions for Nested Line Diagrams<\/li>\n<\/ul>\n<\/div>\n<div>\n<h2>Curriculum Vitae<\/h2>\n<h3>Academic Positions<\/h3>\n<ul>\n<li><strong>Research Associate<\/strong> (Since 2026)<br \/>\nKnowledge and Data Engineering Group<br \/>\nUniversity of Kassel, Germany<\/li>\n<\/ul>\n<h3>Education<\/h3>\n<ul>\n<li><strong>Master of Science (M.Sc.)<\/strong> (2022\u20132025)<br \/>\nAstro and Particle Physics<br \/>\nUniversity of T\u00fcbingen, Germany<br \/>\nThesis: <em>BiPo Event Classification in OSIRIS using Machine Learning<\/em><\/li>\n<li><strong>Bachelor of Science (B.Sc.)<\/strong> (2019\u20132022)<br \/>\nPhysics<br \/>\nAmity University Uttar Pradesh, India<\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Anurag Sharma Raum 0440 Universit\u00e4t Kassel Fachbereich Elektrotechnik\/Informatik Fachgebiet Wissensverarbeitung Wilhelmsh\u00f6her Allee 73 34121 Kassel Tel.: +49 561 804-6253 Email: sharma@cs.uni-kassel.de ORCID: 0009-0000-8292-3092 Code: github.com\/anuragxorma About Me I am a researcher at the Knowledge and<a class=\"moretag\" href=\"https:\/\/www.kde.cs.uni-kassel.de\/en\/sharma\"> Read more&hellip;<\/a><\/p>\n","protected":false},"author":15,"featured_media":0,"parent":0,"menu_order":15,"comment_status":"closed","ping_status":"closed","template":"employee_template.php","meta":{"footnotes":""},"class_list":["post-10473","page","type-page","status-publish","hentry"],"translation":{"provider":"WPGlobus","version":"3.0.6","language":"en","enabled_languages":["de","en"],"languages":{"de":{"title":true,"content":true,"excerpt":false},"en":{"title":false,"content":false,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/pages\/10473","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/comments?post=10473"}],"version-history":[{"count":7,"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/pages\/10473\/revisions"}],"predecessor-version":[{"id":10934,"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/pages\/10473\/revisions\/10934"}],"wp:attachment":[{"href":"https:\/\/www.kde.cs.uni-kassel.de\/en\/wp-json\/wp\/v2\/media?parent=10473"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}