{"id":297,"date":"2025-06-30T15:50:57","date_gmt":"2025-06-30T15:50:57","guid":{"rendered":"https:\/\/amyna-tn-project.gr\/?page_id=297"},"modified":"2026-05-12T10:56:15","modified_gmt":"2026-05-12T10:56:15","slug":"publication","status":"publish","type":"page","link":"https:\/\/amyna-tn-project.gr\/el\/publication\/","title":{"rendered":"\u0394\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03c3\u03b5\u03b9\u03c2"},"content":{"rendered":"<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\" action=\"\"><a name=\"tppubs\" id=\"tppubs\"><\/a><input type=\"hidden\" name=\"trp-form-language\" value=\"el\"\/><\/form><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2026\">2026<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Dimitrios Tyrovolas Thrassos K. Oikonomou, Sotiris A. Tegos<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('3','tp_links')\" style=\"cursor:pointer;\">A Novel Detector under Generalized Hardware Impairments<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <span class=\"tp_pub_label_status forthcoming\">Forthcoming<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">IEEE International Conference on Communications (ICC), <\/span>Forthcoming.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">\u03a0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_3\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{icc_detector_amyna,<br \/>\r\ntitle = {A Novel Detector under Generalized Hardware Impairments},<br \/>\r\nauthor = {Thrassos K. Oikonomou, Dimitrios Tyrovolas, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Panagiotis Sarigiannidis, George K. Karagiannidis},<br \/>\r\ndoi = {\u03a3\u03a5\u039c\u03a0\u039b\u0397\u03a1\u03a9\u03a3\u0395_DOI_\u0391\u039d_\u03a5\u03a0\u0391\u03a1\u03a7\u0395\u0399},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-07-01},<br \/>\r\nurldate = {2026-07-01},<br \/>\r\nbooktitle = {IEEE International Conference on Communications (ICC)},<br \/>\r\nabstract = {This paper presents, for the first time, a maximum-likelihood detection framework that jointly mitigates hardware impairments in both amplitude and phase. By modeling transceiver distortions as residual amplitude and phase noise (PN), we derive the approximate phase-and-amplitude distortion detector (PAD-D), which operates in the polar domain and effectively mitigates both distortion components through distortion-aware weighting.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {forthcoming},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_3\" style=\"display:none;\"><div class=\"tp_abstract_entry\">This paper presents, for the first time, a maximum-likelihood detection framework that jointly mitigates hardware impairments in both amplitude and phase. By modeling transceiver distortions as residual amplitude and phase noise (PN), we derive the approximate phase-and-amplitude distortion detector (PAD-D), which operates in the polar domain and effectively mitigates both distortion components through distortion-aware weighting.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_3\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/\u03a3\u03a5\u039c\u03a0\u039b\u0397\u03a1\u03a9\u03a3\u0395_DOI_\u0391\u039d_\u03a5\u03a0\u0391\u03a1\u03a7\u0395\u0399\" title=\"Follow DOI:\u03a3\u03a5\u039c\u03a0\u039b\u0397\u03a1\u03a9\u03a3\u0395_DOI_\u0391\u039d_\u03a5\u03a0\u0391\u03a1\u03a7\u0395\u0399\" target=\"_blank\">doi:\u03a3\u03a5\u039c\u03a0\u039b\u0397\u03a1\u03a9\u03a3\u0395_DOI_\u0391\u039d_\u03a5\u03a0\u0391\u03a1\u03a7\u0395\u0399<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">P. S. Bouzinis N. A. Mitsiou, P. G. Sarigiannidis;  Karagiannidis, G. K.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2','tp_links')\" style=\"cursor:pointer;\">Heterogeneous Resource Allocation With Multi-Task Learning for Wireless Networks<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Transactions on Wireless Communications, <\/span><span class=\"tp_pub_additional_volume\">vol. 25, <\/span><span class=\"tp_pub_additional_pages\">pp. 7191\u20137205, <\/span><span class=\"tp_pub_additional_year\">2026<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_2\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">\u03a0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_2\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mitsiou2026heterogeneous,<br \/>\r\ntitle = {Heterogeneous Resource Allocation With Multi-Task Learning for Wireless Networks},<br \/>\r\nauthor = {N. A. Mitsiou, P. S. Bouzinis, P. G. Sarigiannidis and G. K. Karagiannidis},<br \/>\r\ndoi = {10.1109\/TWC.2025.3630058},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-01-01},<br \/>\r\nurldate = {2026-01-01},<br \/>\r\njournal = {IEEE Transactions on Wireless Communications},<br \/>\r\nvolume = {25},<br \/>\r\npages = {7191\u20137205},<br \/>\r\nabstract = {Given the nature of wireless networks, which involves multiple and diverse objectives that can have conflicting requirements and constraints, we propose a multi-task learning (MTL) framework to enable a single DNN to jointly solve a range of diverse optimization problems. In this framework, optimization problems with varying dimensionality values, objectives, and constraints are treated as distinct tasks. To jointly address these tasks, we propose a conditional computation-based MTL approach with routing.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_2\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Given the nature of wireless networks, which involves multiple and diverse objectives that can have conflicting requirements and constraints, we propose a multi-task learning (MTL) framework to enable a single DNN to jointly solve a range of diverse optimization problems. In this framework, optimization problems with varying dimensionality values, objectives, and constraints are treated as distinct tasks. To jointly address these tasks, we propose a conditional computation-based MTL approach with routing.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/TWC.2025.3630058\" title=\"Follow DOI:10.1109\/TWC.2025.3630058\" target=\"_blank\">doi:10.1109\/TWC.2025.3630058<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2025\">2025<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Panagiotis Radoglou-Grammatikis Dimitrios-Christos Asimopoulos, Vasileios Argyriou<\/p><p class=\"tp_pub_title\">Hybrid-FGPG: A Novel Fusion of Gradient and Geometric Transformations for Adversarial Vulnerability Evaluation <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">IEEE Global Communications Conference (GLOBECOM) Workshops, <\/span><span class=\"tp_pub_additional_address\">Taipei, Taiwan, <\/span><span class=\"tp_pub_additional_year\">2025<\/span><span class=\"tp_pub_additional_note\">, (Presented at WS-18: The Third Workshop on SIGNIS: Softwarized Next Generation Networks for IoT Services, December 8\u201312, 2025)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_6\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('6','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">\u03a0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_6\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('6','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_6\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{asimopoulos2025hybrid,<br \/>\r\ntitle = {Hybrid-FGPG: A Novel Fusion of Gradient and Geometric Transformations for Adversarial Vulnerability Evaluation},<br \/>\r\nauthor = {Dimitrios-Christos Asimopoulos, Panagiotis Radoglou-Grammatikis, Vasileios Argyriou, Thomas Lagkas, Pantelis Angelidis, Vasileios Vitsas, Panagiotis Fouliras, Ioannis Ktenidis, Panagiotis Sarigiannidis},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-12-01},<br \/>\r\nurldate = {2025-12-01},<br \/>\r\nbooktitle = {IEEE Global Communications Conference (GLOBECOM) Workshops},<br \/>\r\naddress = {Taipei, Taiwan},<br \/>\r\nabstract = {This paper contributes to the area of AI attacks and cybersecurity, focusing on adversarial vulnerability evaluation through a novel hybrid approach combining gradient and geometric transformations (Hybrid-FGPG). The research leverages communication, softwarization, and machine learning for IoT services, particularly within 6G and cloud\/fog\/edge computing environments, aiming to evaluate and enhance the resilience of AI-driven IoT systems against advanced security threats.},<br \/>\r\nnote = {Presented at WS-18: The Third Workshop on SIGNIS: Softwarized Next Generation Networks for IoT Services, December 8\u201312, 2025},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('6','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_6\" style=\"display:none;\"><div class=\"tp_abstract_entry\">This paper contributes to the area of AI attacks and cybersecurity, focusing on adversarial vulnerability evaluation through a novel hybrid approach combining gradient and geometric transformations (Hybrid-FGPG). The research leverages communication, softwarization, and machine learning for IoT services, particularly within 6G and cloud\/fog\/edge computing environments, aiming to evaluate and enhance the resilience of AI-driven IoT systems against advanced security threats.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('6','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"2026Dimitrios Tyrovolas Thrassos K. Oikonomou, Sotiris A. TegosA Novel Detector under Generalized Hardware Impairments Proceedings Article ForthcomingIn: IEEE International Conference","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-297","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/amyna-tn-project.gr\/el\/wp-json\/wp\/v2\/pages\/297","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/amyna-tn-project.gr\/el\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/amyna-tn-project.gr\/el\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/amyna-tn-project.gr\/el\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/amyna-tn-project.gr\/el\/wp-json\/wp\/v2\/comments?post=297"}],"version-history":[{"count":4,"href":"https:\/\/amyna-tn-project.gr\/el\/wp-json\/wp\/v2\/pages\/297\/revisions"}],"predecessor-version":[{"id":461,"href":"https:\/\/amyna-tn-project.gr\/el\/wp-json\/wp\/v2\/pages\/297\/revisions\/461"}],"wp:attachment":[{"href":"https:\/\/amyna-tn-project.gr\/el\/wp-json\/wp\/v2\/media?parent=297"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}