{"id":292,"date":"2026-02-12T19:26:32","date_gmt":"2026-02-12T18:26:32","guid":{"rendered":"https:\/\/www.kth.se\/blogs\/nslab\/?p=292"},"modified":"2026-02-12T20:32:45","modified_gmt":"2026-02-12T19:32:45","slug":"daniel-perezs-phd-defense","status":"publish","type":"post","link":"https:\/\/www.kth.se\/blogs\/nslab\/2026\/02\/daniel-perezs-phd-defense\/","title":{"rendered":"Daniel Perez’s PhD Defense"},"content":{"rendered":"

We are very happy to announce that Daniel Felipe Perez Ramirez successfully defended his PhD thesis on February 12, 2026! Prof. Magnus Boman (KI) and Nicolas Tsiftes (RISE) have done a great job as the academic co-advisor and industrial advisor, respectively. We are very grateful to Prof. Thiemo Voigt for creating a wonderful research environment for Daniel to thrive at RISE. Prof. Rui Tan was the opponent at the defense, while Assoc. Prof. Amir Payberah served as the Chair. Daniel’s thesis is available online:<\/p>\n

Machine Learning-Driven Optimization in Networked Systems: Leveraging Graph Neural Networks to Solve Resource Allocation Problems <\/span><\/span><\/a><\/p>\n

This thesis explores the applicability of machine learning to solve resource allocation optimization problems. It demonstrates that GNN-based models with Transformer-like architecture trained on small 10-node networks can robustly generalize to large-scale IoT deployments with up to 1000 nodes (i.e., 100x bigger than those encountered during training), achieving up to 2\u00d7 resource savings in energy and spectrum utilization while maintaining consistent performance across diverse network topologies.<\/p>\n

A few images from the defense and the celebration are below.<\/p>\n

\"\"<\/p>\n

\"\"Dejan congratulates Daniel, photo credit Amir Payberah.<\/p>\n

\"\"Amir congratulates Daniel.<\/p>\n

\"\"Magnus\u00a0congratulates Daniel.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

We are very happy to announce that Daniel Felipe Perez Ramirez successfully defended his PhD thesis on February 12, 2026! Prof. Magnus Boman (KI) and Nicolas Tsiftes (RISE) have done a great job as the academic co-advisor and industrial advisor, respectively. We are very grateful to Prof. Thiemo Voigt for creating a wonderful research environment […]<\/p>\n","protected":false},"author":621,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-292","post","type-post","status-publish","format-standard","hentry","category-okategoriserat"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/posts\/292","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/users\/621"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/comments?post=292"}],"version-history":[{"count":1,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/posts\/292\/revisions"}],"predecessor-version":[{"id":298,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/posts\/292\/revisions\/298"}],"wp:attachment":[{"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/media?parent=292"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/categories?post=292"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kth.se\/blogs\/nslab\/wp-json\/wp\/v2\/tags?post=292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}