{"id":4588,"date":"2021-04-08T14:12:26","date_gmt":"2021-04-08T12:12:26","guid":{"rendered":"http:\/\/150.140.135.22\/wordpress\/?page_id=4588"},"modified":"2026-05-16T13:56:15","modified_gmt":"2026-05-16T10:56:15","slug":"lagousis-andreas","status":"publish","type":"page","link":"https:\/\/www.civil.upatras.gr\/index.php\/lagousis-andreas\/","title":{"rendered":"\u039b\u03b1\u03b3\u03b3\u03bf\u03cd\u03c3\u03b7\u03c2 \u0391\u03bd\u03b4\u03c1\u03ad\u03b1\u03c2"},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1331.2px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_6 1_6 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:16.666666666667%;--awb-margin-top-large:10px;--awb-spacing-right-large:11.52%;--awb-margin-bottom-large:10px;--awb-spacing-left-large:11.52%;--awb-width-medium:16.666666666667%;--awb-order-medium:0;--awb-spacing-right-medium:11.52%;--awb-spacing-left-medium:11.52%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_5_6 5_6 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:83.333333333333%;--awb-margin-top-large:40px;--awb-spacing-right-large:2.304%;--awb-margin-bottom-large:10px;--awb-spacing-left-large:2.304%;--awb-width-medium:83.333333333333%;--awb-order-medium:0;--awb-spacing-right-medium:2.304%;--awb-spacing-left-medium:2.304%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\">\n<table style=\"width: 70%;\">\n<tbody>\n<tr>\n<th align=\"left\">\n<h2>\u039b\u03b1\u03b3\u03b3\u03bf\u03cd\u03c3\u03b7\u03c2 \u0391\u03bd\u03b4\u03c1\u03ad\u03b1\u03c2<\/h2>\n<\/th>\n<th align=\"left\"><\/th>\n<\/tr>\n<\/tbody>\n<tbody>\n<tr>\n<td align=\"left\"><img decoding=\"async\" src=\"https:\/\/www.civil.upatras.gr\/wp-content\/uploads\/2021\/05\/A_Langousis-300x275-1.jpg\" \/><\/td>\n<td align=\"left\">\n<div class=\"table-1\">\n<div class=\"table-1\">\u039a\u03b1\u03b8\u03b7\u03b3\u03b7\u03c4\u03ae\u03c2<\/div>\n<div class=\"table-1\">\u03a4\u03bc\u03ae\u03bc\u03b1 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ce\u03bd \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd<\/div>\n<div class=\"table-1\">\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd 26504,<\/div>\n<div class=\"table-1\">\u03a1\u03af\u03bf \u03a4\u03b7\u03bb\u03ad\u03c6\u03c9\u03bd\u03bf: 2610 996594, 6599<\/div>\n<div class=\"table-1\">\n<p><a class=\"font11_blue\" href=\"mailto:andlag@upatras.gr\">andlag@upatras.gr<\/a><\/p>\n<div class=\"table-1\"><\/div>\n<div class=\"table-1\"><\/div>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><!--more--><\/p>\n<div class=\"fusion-tabs fusion-tabs-1 clean nav-is-justified horizontal-tabs icon-position-left mobile-mode-accordion\" style=\"--awb-title-border-radius-top-left:0px;--awb-title-border-radius-top-right:0px;--awb-title-border-radius-bottom-right:0px;--awb-title-border-radius-bottom-left:0px;--awb-alignment:start;--awb-inactive-color:#f1f2f2;--awb-background-color:#ffffff;--awb-border-color:#ede8e8;--awb-active-border-color:#58595b;\"><div class=\"nav\"><ul class=\"nav-tabs nav-justified\" role=\"tablist\" aria-orientation=\"horizontal\"><li class=\"active\" role=\"presentation\"><a class=\"tab-link\" data-toggle=\"tab\" role=\"tab\" aria-controls=\"tab-a0e531ba2b0e5f0784b\" aria-selected=\"true\" tabindex=\"0\" id=\"fusion-tab-a0e531ba2b0e5f0784b\" href=\"#tab-a0e531ba2b0e5f0784b\"><h4 class=\"fusion-tab-heading\">\u0392\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03cc<\/h4><\/a><\/li><li  role=\"presentation\"><a class=\"tab-link\" data-toggle=\"tab\" role=\"tab\" aria-controls=\"tab-3966bab21193379be8a\" aria-selected=\"false\" tabindex=\"-1\" id=\"fusion-tab-3966bab21193379be8a\" href=\"#tab-3966bab21193379be8a\"><h4 class=\"fusion-tab-heading\">\u0395\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03c3\u03b5\u03b9\u03c2<\/h4><\/a><\/li><li  role=\"presentation\"><a class=\"tab-link\" data-toggle=\"tab\" role=\"tab\" aria-controls=\"tab-dd230846aa5b4387d04\" aria-selected=\"false\" tabindex=\"-1\" id=\"fusion-tab-dd230846aa5b4387d04\" href=\"#tab-dd230846aa5b4387d04\"><h4 class=\"fusion-tab-heading\">\u039c\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03b1<\/h4><\/a><\/li><\/ul><\/div><div class=\"tab-content\"><div class=\"nav fusion-mobile-tab-nav\"><ul class=\"nav-tabs nav-justified\" role=\"tablist\" aria-orientation=\"horizontal\"><li class=\"active\" role=\"presentation\"><a class=\"tab-link\" data-toggle=\"tab\" role=\"tab\" aria-controls=\"tab-a0e531ba2b0e5f0784b\" aria-selected=\"true\" tabindex=\"0\" id=\"mobile-fusion-tab-a0e531ba2b0e5f0784b\" href=\"#tab-a0e531ba2b0e5f0784b\"><h4 class=\"fusion-tab-heading\">\u0392\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03cc<\/h4><\/a><\/li><\/ul><\/div><div class=\"tab-pane fade fusion-clearfix in active\" role=\"tabpanel\" tabindex=\"0\" aria-labelledby=\"fusion-tab-a0e531ba2b0e5f0784b\" id=\"tab-a0e531ba2b0e5f0784b\">\n<h4>\u0392\u0399\u039f\u0393\u03a1\u0391\u03a6\u0399\u039a\u039f<\/h4>\n<p>\u039f \u0391\u03bd\u03b4\u03c1\u03ad\u03b1\u03c2 \u039b\u03b1\u03b3\u03b3\u03bf\u03cd\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u039a\u03b1\u03b8\u03b7\u03b3\u03b7\u03c4\u03ae\u03c2 \u03a4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae\u03c2 \u03a5\u03b4\u03c1\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03a5\u03b4\u03c1\u03b1\u03c5\u03bb\u03b9\u03ba\u03ae\u03c2 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ce\u03bd \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03c4\u03bf\u03c5 \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5 \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd. \u0393\u03b5\u03bd\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b7\u03bd \u0391\u03b8\u03ae\u03bd\u03b1 \u03c4\u03bf 1981, \u03b5\u03af\u03bd\u03b1\u03b9 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03cc\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03cc\u03c2 (\u0395\u039c\u03a0, 2003), MSc \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03cc\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03cc\u03c2 \u03ba\u03b1\u03b9 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03cc\u03c2 \u03a0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2 (Massachusetts Institute of Technology, \u039c\u0399\u03a4, 2005), \u03ba\u03b1\u03b9 \u0394\u03c1. \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03cc\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03cc\u03c2 \u03ba\u03b1\u03b9 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03cc\u03c2 \u03a0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2 (\u039c\u0399\u03a4, 2009). \u03a4\u03bf\u03bd \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 2010 \u03b5\u03be\u03b5\u03bb\u03ad\u03b3\u03b7 \u039b\u03ad\u03ba\u03c4\u03bf\u03c1\u03b1\u03c2 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ce\u03bd \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03c4\u03bf\u03c5 \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5 \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd \u03c3\u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03c4\u03b7\u03c2 \u03a3\u03c4\u03bf\u03c7\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u03a0\u03c1\u03bf\u03c3\u03bf\u03bc\u03bf\u03af\u03c9\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u0395\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7\u03c2 \u0395\u03c0\u03b9\u03ba\u03b9\u03bd\u03b4\u03c5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03a5\u03b4\u03c1\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ce\u03bd \u03a6\u03b1\u03b9\u03bd\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03b4\u03b9\u03bf\u03c1\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b7\u03bd \u03b5\u03bd \u03bb\u03cc\u03b3\u03c9 \u03b2\u03b1\u03b8\u03bc\u03af\u03b4\u03b1 \u03c4\u03bf\u03bd \u03a6\u03b5\u03b2\u03c1\u03bf\u03c5\u03ac\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 2014, \u03c4\u03bf\u03bd \u0391\u03c0\u03c1\u03af\u03bb\u03b9\u03bf \u03c4\u03bf\u03c5 2015 \u03c0\u03c1\u03bf\u03ae\u03c7\u03b8\u03b7 \u03c3\u03c4\u03b7 \u03b2\u03b1\u03b8\u03bc\u03af\u03b4\u03b1 \u03c4\u03bf\u03c5 \u0395\u03c0\u03af\u03ba\u03bf\u03c5\u03c1\u03bf\u03c5 \u039a\u03b1\u03b8\u03b7\u03b3\u03b7\u03c4\u03ae, \u03c4\u03bf\u03bd \u0394\u03b5\u03ba\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 2019 \u03c3\u03c4\u03b7 \u03b2\u03b1\u03b8\u03bc\u03af\u03b4\u03b1 \u03c4\u03bf\u03c5 \u0391\u03bd\u03b1\u03c0\u03bb\u03b7\u03c1\u03c9\u03c4\u03ae \u039a\u03b1\u03b8\u03b7\u03b3\u03b7\u03c4\u03ae, \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 2023 \u03c3\u03c4\u03b7\u03bd \u03b2\u03b1\u03b8\u03bc\u03af\u03b4\u03b1 \u03c4\u03bf\u03c5 \u039a\u03b1\u03b8\u03b7\u03b3\u03b7\u03c4\u03ae. \u0388\u03c7\u03b5\u03b9 \u03b4\u03b9\u03b4\u03ac\u03be\u03b5\u03b9 \u03c0\u03c1\u03bf\u03c0\u03c4\u03c5\u03c7\u03b9\u03b1\u03ba\u03ac \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c0\u03c4\u03c5\u03c7\u03b9\u03b1\u03ba\u03ac \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ad\u03c2 \u03c4\u03b7\u03c2 \u03b8\u03b5\u03c9\u03c1\u03af\u03b1\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2, \u03b8\u03b5\u03c9\u03c1\u03af\u03b1\u03c2 \u03c4\u03c5\u03c7\u03b1\u03af\u03c9\u03bd \u03c0\u03b5\u03b4\u03af\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c7\u03b1\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd \u03b1\u03bd\u03b5\u03bb\u03af\u03be\u03b5\u03c9\u03bd, \u03b5\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7\u03c2 \u03c1\u03af\u03c3\u03ba\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7\u03c2 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5 \u03b1\u03c0\u03cc \u03c6\u03c5\u03c3\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03b3\u03b5\u03bd\u03b5\u03af\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03c1\u03bf\u03c6\u03ad\u03c2, \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b2\u03b1\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ce\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7\u03c2, \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae\u03c2 \u03c5\u03b4\u03c1\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2, \u03c5\u03b4\u03c1\u03b1\u03c5\u03bb\u03b9\u03ba\u03ae\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae\u03c2, \u03ba\u03b1\u03b9 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae\u03c2 \u03b4\u03b9\u03ba\u03c4\u03cd\u03c9\u03bd \u03cd\u03b4\u03c1\u03b5\u03c5\u03c3\u03b7\u03c2, \u03b1\u03c0\u03bf\u03c7\u03ad\u03c4\u03b5\u03c5\u03c3\u03b7\u03c2, \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03c9\u03bd \u03c5\u03b4\u03c1\u03b1\u03c5\u03bb\u03b9\u03ba\u03ce\u03bd \u03ad\u03c1\u03b3\u03c9\u03bd \u03c3\u03b5 \u03c0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03b1 \u03c4\u03b7\u03c2 \u0395\u03bb\u03bb\u03ac\u03b4\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd \u0397.\u03a0.\u0391.<\/p>\n<p>\u03a4\u03bf\u03c5 \u03ad\u03c7\u03bf\u03c5\u03bd \u03b1\u03c0\u03bf\u03bd\u03b5\u03bc\u03b7\u03b8\u03b5\u03af \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ad\u03c2 \u03b1\u03ba\u03b1\u03b4\u03b7\u03bc\u03b1\u03ca\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2, \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03bf\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c4\u03b7\u03c2 \u03c5\u03c0\u03bf\u03c4\u03c1\u03bf\u03c6\u03af\u03b1\u03c2 Schoettler \u03c4\u03bf\u03c5 \u03a4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03bf\u03cd \u0399\u03bd\u03c3\u03c4\u03b9\u03c4\u03bf\u03cd\u03c4\u03bf\u03c5 \u039c\u03b1\u03c3\u03b1\u03c7\u03bf\u03c5\u03c3\u03ad\u03c4\u03b7\u03c2 (\u039c\u0399\u03a4, 2003-2004), \u03c4\u03bf \u03b2\u03c1\u03b1\u03b2\u03b5\u03af\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7\u03c2 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03c3\u03b5\u03c9\u03c2 \u03c3\u03c4\u03bf \u03b4\u03b9\u03b5\u03b8\u03bd\u03ad\u03c2 \u03c3\u03c5\u03bd\u03ad\u03b4\u03c1\u03b9\u03bf \u201c1st International Summit on Hurricanes and Climate Change\u201d (2007), \u03b4\u03cd\u03bf \u03c3\u03c5\u03bd\u03b1\u03c0\u03c4\u03ad\u03c2 \u03c5\u03c0\u03bf\u03c4\u03c1\u03bf\u03c6\u03af\u03b5\u03c2 (\u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae\u03c2 \u03b4\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1\u03c2 5 \u03b5\u03c4\u03ce\u03bd) \u03b1\u03c0\u03cc \u03c4\u03bf \u039a\u03bf\u03b9\u03bd\u03c9\u03c6\u03b5\u03bb\u03ad\u03c2 \u038a\u03b4\u03c1\u03c5\u03bc\u03b1 \u0391\u03bb\u03ad\u03be\u03b1\u03bd\u03b4\u03c1\u03bf\u03c2 \u03a3. \u03a9\u03bd\u03ac\u03c3\u03b7\u03c2, \u03bc\u03af\u03b1 \u03bc\u03b5\u03c4\u03b1\u03b4\u03b9\u03b4\u03b1\u03ba\u03c4\u03bf\u03c1\u03b9\u03ba\u03ae \u03c5\u03c0\u03bf\u03c4\u03c1\u03bf\u03c6\u03af\u03b1 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae\u03c2 \u03b4\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1\u03c2 \u03c4\u03c1\u03b9\u03ce\u03bd \u03b5\u03c4\u03ce\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7 \u0393\u03b5\u03bd\u03b9\u03ba\u03ae \u0393\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03b5\u03af\u03b1 \u0388\u03c1\u03b5\u03c5\u03bd\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03a4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2 (\u0393\u0393\u0395\u03a4), \u03ba\u03b1\u03b9 \u03bc\u03af\u03b1 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03c5\u03c0\u03bf\u03c4\u03c1\u03bf\u03c6\u03af\u03b1 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae\u03c2 \u03b4\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1\u03c2 2 \u03b5\u03c4\u03ce\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u039a\u03bf\u03b9\u03bd\u03c9\u03c6\u03b5\u03bb\u03ad\u03c2 \u038a\u03b4\u03c1\u03c5\u03bc\u03b1 \u0391\u03bb\u03ad\u03be\u03b1\u03bd\u03b4\u03c1\u03bf\u03c2 \u03a3. \u03a9\u03bd\u03ac\u03c3\u03b7\u03c2. \u03a4\u03bf\u03bd \u03a6\u03b5\u03b2\u03c1\u03bf\u03c5\u03ac\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 2017 \u03ad\u03bd\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 \u03c4\u03bf\u03c5 \u03ac\u03c1\u03b8\u03c1\u03b1 \u03c3\u03c4\u03bf \u03b4\u03b9\u03b5\u03b8\u03bd\u03ad\u03c2 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03cc Water Resources Research (WRR) \u03ad\u03bb\u03b1\u03b2\u03b5 \u03c4\u03b7\u03bd \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 <a href=\"http:\/\/agupubs.onlinelibrary.wiley.com\/hub\/article\/10.1002\/2016WR019578\/editor-highlight\/\">\u201cEditors\u2019 Highlight\u201d<\/a>, \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u039c\u03ac\u03c1\u03c4\u03b9\u03bf \u03c4\u03bf\u03c5 2021 \u03ad\u03bd\u03b1 \u03ac\u03bb\u03bb\u03bf \u03ac\u03c1\u03b8\u03c1\u03bf \u03c4\u03bf\u03c5 \u03ad\u03bb\u03b1\u03b2\u03b5 \u03c4\u03b7\u03bd \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u201cWater 2021 Best Paper Award\u201d (<a href=\"https:\/\/www.mdpi.com\/journal\/water\/awards\/1068\">Rank 2<\/a>, <a href=\"https:\/\/doi.org\/10.3390\/w11050910\">https:\/\/doi.org\/10.3390\/w11050910<\/a>).<\/p>\n<p>T\u03bf\u03bd \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 2017 \u03c4\u03bf\u03c5 \u03b1\u03c0\u03b5\u03bd\u03b5\u03bc\u03ae\u03b8\u03b7 \u03bf \u03c4\u03b9\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc\u03c2 \u03c4\u03af\u03c4\u03bb\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03a3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5 \u039a\u03b1\u03b8\u03b7\u03b3\u03b7\u03c4\u03ae (Professeur Associ\u00e9) \u03c3\u03c4\u03bf \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf INRS (Institut National de la Recherche Scientifique) \u03c3\u03c4\u03bf \u039a\u03b5\u03bc\u03c0\u03ad\u03ba (Quebec) \u03c4\u03bf\u03c5 \u039a\u03b1\u03bd\u03b1\u03b4\u03ac (Canada), \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf \u0391\u03c0\u03c1\u03af\u03bb\u03b9\u03bf\u03c2 2018 \u2013 \u039c\u03ac\u03b9\u03bf\u03c2 2022 \u03b4\u03b9\u03b5\u03c4\u03ad\u03bb\u03b5\u03c3\u03b5 \u03a0\u03c1\u03cc\u03b5\u03b4\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ae\u03c2 \u03b2\u03c1\u03bf\u03c7\u03bf\u03c0\u03c4\u03ce\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03ba\u03bb\u03af\u03bc\u03b1\u03c4\u03bf\u03c2 (Precipitation and Climate Sub-Division) \u03c4\u03b7\u03c2 \u0395\u03c5\u03c1\u03c9\u03c0\u03b1\u03ca\u03ba\u03ae\u03c2 \u0388\u03bd\u03c9\u03c3\u03b7\u03c2 \u0393\u03b5\u03c9\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03ce\u03bd (European Geosciences Union, EGU), \u03ba\u03b1\u03c4\u03ac \u03c4\u03b9\u03c2 \u03b4\u03b9\u03b5\u03c4\u03af\u03b5\u03c2 \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2020 \u2013 \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2022 \u03ba\u03b1\u03b9 \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2023 \u2013 \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2025 \u03b4\u03b9\u03b5\u03c4\u03ad\u03bb\u03b5\u03c3\u03b5 \u0394\u03b9\u03b5\u03c5\u03b8\u03c5\u03bd\u03c4\u03ae\u03c2 \u03c4\u03bf\u03c5 \u03a4\u03bf\u03bc\u03ad\u03b1 \u0393\u03b5\u03c9\u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03a5\u03b4\u03c1\u03b1\u03c5\u03bb\u03b9\u03ba\u03ae\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae\u03c2 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ce\u03bd \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03c4\u03bf\u03c5 \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5 \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd, \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u0399\u03bf\u03cd\u03bd\u03b9\u03bf \u03c4\u03bf\u03c5 2022 \u03b1\u03bd\u03ad\u03bb\u03b1\u03b2\u03b5 \u03ba\u03b1\u03b8\u03ae\u03ba\u03bf\u03bd\u03c4\u03b1 \u0391\u03c1\u03c7\u03b9\u03c3\u03c5\u03bd\u03c4\u03ac\u03ba\u03c4\u03b7 (Editor in Chief, EiC) \u03c3\u03c4\u03bf \u0395\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03cc \u03a0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03cc <a href=\"https:\/\/www.springer.com\/journal\/477\">Stochastic Environmental Research and Risk Assessment (SERRA).<\/a> \u0395\u03c0\u03af\u03c3\u03b7\u03c2, \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u0399\u03bf\u03cd\u03bb\u03b9\u03bf 2023 \u03b4\u03b9\u03b1\u03c4\u03b5\u03bb\u03b5\u03af \u03a5\u03b4\u03c1\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc\u03c2 \u03a3\u03cd\u03bc\u03b2\u03bf\u03c5\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u0395\u03bb\u03bb\u03ac\u03b4\u03b1\u03c2 \u03c3\u03c4\u03bf\u03bd <a href=\"https:\/\/public.wmo.int\/en\">\u03a0\u03b1\u03b3\u03ba\u03cc\u03c3\u03bc\u03b9\u03bf \u039c\u03b5\u03c4\u03b5\u03c9\u03c1\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc \u039f\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc (World Meteorological Organization, WMO | UN Office)<\/a>, \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf 2025 \u03b4\u03b9\u03b1\u03c4\u03b5\u03bb\u03b5\u03af \u0391\u03bd\u03c4\u03b9\u03c0\u03c1\u03cc\u03b5\u03b4\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ce\u03bd \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03c4\u03bf\u03c5 \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5 \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd, \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u039c\u03ac\u03c1\u03c4\u03b9\u03bf 2026 \u03b4\u03b9\u03b1\u03c4\u03b5\u03bb\u03b5\u03af \u03c4\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u0395\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ae\u03c2 \u03a0\u03bb\u03b7\u03bc\u03bc\u03c5\u03c1\u03b9\u03ba\u03bf\u03cd \u039a\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a5\u03c0\u03bf\u03c5\u03c1\u03b3\u03b5\u03af\u03bf\u03c5 \u039a\u03bb\u03b9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u039a\u03c1\u03af\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae\u03c2 \u03a0\u03c1\u03bf\u03c3\u03c4\u03b1\u03c3\u03af\u03b1\u03c2.<\/p>\n<p>\u0388\u03c7\u03b5\u03b9 \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03ac\u03c3\u03c7\u03b5\u03b9 \u03c9\u03c2 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ac \u03c5\u03c0\u03b5\u03cd\u03b8\u03c5\u03bd\u03bf\u03c2 \u03ae \u03ba\u03cd\u03c1\u03b9\u03bf\u03c2 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ae\u03c2 \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc 30 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ac \u03ad\u03c1\u03b3\u03b1, \u03ad\u03c7\u03b5\u03b9 <a href=\"http:\/\/scholar.google.com\/citations?user=ZyZ4mBkAAAAJ&amp;hl=en\">\u03c3\u03c5\u03b3\u03b3\u03c1\u03ac\u03c8\u03b5\u03b9<\/a> \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc 60 \u03ac\u03c1\u03b8\u03c1\u03b1 \u03c3\u03b5 \u03b4\u03b9\u03b5\u03b8\u03bd\u03ae \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03ac, 3 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c4\u03c1\u03b9\u03b2\u03ad\u03c2, 4 \u03ba\u03b5\u03c6\u03ac\u03bb\u03b1\u03b9\u03b1 \u03b2\u03b9\u03b2\u03bb\u03af\u03c9\u03bd \u03ba\u03b1\u03c4\u03cc\u03c0\u03b9\u03bd \u03c0\u03c1\u03bf\u03c3\u03ba\u03bb\u03ae\u03c3\u03b5\u03c9\u03c2, 1 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc \u03c3\u03cd\u03b3\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1 <a href=\"https:\/\/www.gotsis.net.gr\/book.php?id=6011fc951aecc\">(ISBN: 978-6185-5600-89-0)<\/a> \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03c1\u03bf\u03c0\u03c4\u03c5\u03c7\u03b9\u03b1\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03ba\u03bf\u03c1\u03bc\u03bf\u03cd \u00ab\u03a3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc\u03c2 \u0388\u03c1\u03b3\u03c9\u03bd \u038e\u03b4\u03c1\u03b5\u03c5\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u0391\u03c0\u03bf\u03c7\u03ad\u03c4\u03b5\u03c5\u03c3\u03b7\u03c2\u00bb \u03c0\u03bf\u03c5 \u03b4\u03b9\u03b4\u03ac\u03c3\u03ba\u03b5\u03b9 \u03c3\u03c4\u03bf \u03a4\u03bc\u03ae\u03bc\u03b1 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ce\u03bd \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03c4\u03bf\u03c5 \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03af\u03bf\u03c5 \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd, \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 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\u03c3\u03c4\u03b7\u03bd \u0395\u03bb\u03bb\u03ac\u03b4\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc, \u03ad\u03c7\u03b5\u03b9 \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03ac\u03c3\u03c7\u03b5\u03b9 \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03c1\u03b3\u03b1\u03bd\u03c9\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ad\u03c2 \u03ac\u03bd\u03c9 \u03c4\u03c9\u03bd 30 \u03b4\u03b9\u03b5\u03b8\u03bd\u03ce\u03bd \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ce\u03bd \u03c3\u03c5\u03bd\u03b5\u03b4\u03c1\u03af\u03c9\u03bd, \u03ba\u03b1\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03b9\u03c4\u03ae\u03c2 \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc 20 \u03b4\u03b9\u03b5\u03b8\u03bd\u03ae \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03ac. \u0393\u03b9\u03b1 12 \u03c3\u03c5\u03bd\u03b1\u03c0\u03c4\u03ac \u03ad\u03c4\u03b7 (2013-2025) \u03b4\u03b9\u03b5\u03c4\u03ad\u03bb\u03b5\u03c3\u03b5 \u03c4\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bd\u03c4\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ae\u03c2 (Associate Editor) \u03c4\u03bf\u03c5 \u03b4\u03b9\u03b5\u03b8\u03bd\u03bf\u03cd\u03c2 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03bf\u03cd WRR (Water Resources Research), \u03b3\u03b9\u03b1 10 \u03c3\u03c5\u03bd\u03b1\u03c0\u03c4\u03ac \u03ad\u03c4\u03b7 (2013 -2022) \u03b4\u03b9\u03b5\u03c4\u03ad\u03bb\u03b5\u03c3\u03b5 \u03c4\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bd\u03c4\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ae\u03c2 (Associate Editor) \u03c4\u03bf\u03c5 \u03b4\u03b9\u03b5\u03b8\u03bd\u03bf\u03cd\u03c2 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03bf\u03cd SERRA (Stochastic Environmental Research and Risk Assessment), \u03c4\u03b7\u03bd \u03b5\u03be\u03b1\u03b5\u03c4\u03af\u03b1 2016 -2022 \u03b4\u03b9\u03b5\u03c4\u03ad\u03bb\u03b5\u03c3\u03b5 \u03c4\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bd\u03c4\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ae\u03c2 (Associate Editor) \u03c4\u03bf\u03c5 \u03b4\u03b9\u03b5\u03b8\u03bd\u03bf\u03cd\u03c2 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03bf\u03cd JoH (Journal of Hydrology), \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd 4-\u03b5\u03c4\u03af\u03b1 2016-2020 \u03b4\u03b9\u03b5\u03c4\u03ad\u03bb\u03b5\u03c3\u03b5 \u03c4\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bd\u03c4\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ae\u03c2 (Associate Editor) \u03c4\u03bf\u03c5 \u03b4\u03b9\u03b5\u03b8\u03bd\u03bf\u03cd\u03c2 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03bf\u03cd JHS (Journal of Hydrological Sciences), \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf \u0399\u03bf\u03cd\u03bd\u03b9\u03bf\u03c2 2012 \u2013\u0394\u03b5\u03ba\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2013 \u03b4\u03b9\u03b5\u03c4\u03ad\u03bb\u03b5\u03c3\u03b5 \u03c0\u03c1\u03bf\u03c3\u03ba\u03b5\u03ba\u03bb\u03b7\u03bc\u03ad\u03bd\u03bf \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bd\u03c4\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ae\u03c2 (Guest Associate Editor) \u03c4\u03bf\u03c5 \u03b4\u03b9\u03b5\u03b8\u03bd\u03bf\u03cd\u03c2 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03bf\u03cd HESS (Hydrology and Earth System Sciences), \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03b4\u03b9\u03b5\u03c4\u03af\u03b1 2015-2017 \u03b4\u03b9\u03b5\u03c4\u03ad\u03bb\u03b5\u03c3\u03b5 \u03c0\u03c1\u03bf\u03c3\u03ba\u03b5\u03ba\u03bb\u03b7\u03bc\u03ad\u03bd\u03bf\u03c2 \u03b1\u03c1\u03c7\u03b9\u03c3\u03c5\u03bd\u03c4\u03ac\u03ba\u03c4\u03b7\u03c2 (Managing Guest Editor) \u03c4\u03bf\u03c5 \u03b4\u03b9\u03b5\u03b8\u03bd\u03bf\u03cd\u03c2 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03bf\u03cd JoH (Journal of Hydrology).<\/p>\n<p>\u0395\u03c0\u03b9\u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b1, \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03b5\u03c1\u03b3\u03cc \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03a4\u03b5\u03c7\u03bd\u03b9\u03ba\u03bf\u03cd \u0395\u03c0\u03b9\u03bc\u03b5\u03bb\u03b7\u03c4\u03b7\u03c1\u03af\u03bf\u03c5 \u03c4\u03b7\u03c2 \u0395\u03bb\u03bb\u03ac\u03b4\u03bf\u03c2 (\u03a4\u0395\u0395), \u03c4\u03b7\u03c2 \u0391\u03bc\u03b5\u03c1\u03b9\u03ba\u03b1\u03bd\u03b9\u03ba\u03ae\u03c2 \u0388\u03bd\u03c9\u03c3\u03b7\u03c2 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ce\u03bd \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd (American Society of Civil Engineers, ASCE), \u03c4\u03b7\u03c2 \u0391\u03bc\u03b5\u03c1\u03b9\u03ba\u03ac\u03bd\u03b9\u03ba\u03ae\u03c2 \u0388\u03bd\u03c9\u03c3\u03b7\u03c2 \u0393\u03b5\u03c9\u03c6\u03c5\u03c3\u03b9\u03ba\u03ae\u03c2 (AGU), \u03c4\u03b7\u03c2 \u0395\u03c5\u03c1\u03c9\u03c0\u03b1\u03ca\u03ba\u03ae\u03c2 \u0388\u03bd\u03c9\u03c3\u03b7\u03c2 \u0393\u03b5\u03c9\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03ce\u03bd (EGU), \u03c4\u03b7\u03c2 \u0394\u03b9\u03b5\u03b8\u03bd\u03bf\u03cd\u03c2 \u0395\u03bd\u03ce\u03c3\u03b5\u03c9\u03c2 \u03a5\u03b4\u03c1\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ce\u03bd \u0395\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03ce\u03bd (IAHS) \u03ba\u03b1\u03b9 \u03c4\u03b7\u03c2 \u0394\u03b9\u03b5\u03b8\u03bd\u03bf\u03cd\u03c2 \u0395\u03bd\u03ce\u03c3\u03b5\u03c9\u03c2 \u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u03a5\u03b4\u03c1\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2 (ICSH-IAHS). \u0391\u03c0\u03cc \u03c4\u03bf 2008 \u03b4\u03b9\u03b1\u03c4\u03b5\u03bb\u03b5\u03af \u03b5\u03bd\u03b5\u03c1\u03b3\u03cc \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ae\u03c2 \u03b2\u03c1\u03bf\u03c7\u03bf\u03c0\u03c4\u03ce\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03ba\u03bb\u03af\u03bc\u03b1\u03c4\u03bf\u03c2 (Precipitation and Climate Sub-Division) \u03c4\u03b7\u03c2 \u0395\u03c5\u03c1\u03c9\u03c0\u03b1\u03ca\u03ba\u03ae\u03c2 \u0388\u03bd\u03c9\u03c3\u03b7\u03c2 \u0393\u03b5\u03c9\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03ce\u03bd (European Geosciences Union, EGU), \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf 2010-2012, \u03ae\u03c4\u03b1\u03bd \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03bf\u03c5 \u0394\u03b9\u03bf\u03b9\u03ba\u03b7\u03c4\u03b9\u03ba\u03bf\u03cd \u03a3\u03c5\u03bc\u03b2\u03bf\u03c5\u03bb\u03af\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03c1\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c4\u03b7\u03c2 \u0391\u03bc\u03b5\u03c1\u03b9\u03ba\u03b1\u03bd\u03b9\u03ba\u03ae\u03c2 \u0388\u03bd\u03c9\u03c3\u03b7\u03c2 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ce\u03bd \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd (ASCE) \u03c3\u03c4\u03b7\u03bd \u0395\u03bb\u03bb\u03ac\u03b4\u03b1, \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf 2011-2013 \u03b4\u03b9\u03b5\u03c4\u03ad\u03bb\u03b5\u03c3\u03b5 \u03a4\u03b1\u03bc\u03af\u03b1\u03c2 \u03c4\u03bf\u03c5 \u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03bc\u03bf\u03c5 \u03a5\u03c0\u03bf\u03c4\u03c1\u03cc\u03c6\u03c9\u03bd \u03c4\u03bf\u03c5 \u039a\u03bf\u03b9\u03bd\u03c9\u03c6\u03b5\u03bb\u03bf\u03cd\u03c2 \u0399\u03b4\u03c1\u03cd\u03bc\u03b1\u03c4\u03bf\u03c2 \u0391\u03bb\u03ad\u03be\u03b1\u03bd\u03b4\u03c1\u03bf\u03c2 \u03a3. \u03a9\u03bd\u03ac\u03c3\u03b7\u03c2, \u03b1\u03c0\u03cc \u03c4\u03bf \u039c\u03ac\u03c1\u03c4\u03b9\u03bf 2014 \u03b4\u03b9\u03b1\u03c4\u03b5\u03bb\u03b5\u03af \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03bf\u03c0\u03ae\u03c2 \u03c4\u03bf\u03c5 \u03a4\u03b5\u03c7\u03bd\u03b9\u03ba\u03bf\u03cd \u0395\u03c0\u03b9\u03bc\u03b5\u03bb\u03b7\u03c4\u03b7\u03c1\u03af\u03bf\u03c5 \u03c4\u03b7\u03c2 \u0395\u03bb\u03bb\u03ac\u03b4\u03bf\u03c2 (\u03a4\u0395\u0395) \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03b5\u03c0\u03b1\u03b3\u03b3\u03b5\u03bb\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u03b4\u03b9\u03ba\u03b1\u03b9\u03c9\u03bc\u03ac\u03c4\u03c9\u03bd \u03c3\u03b5 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03bf\u03cd\u03c2, \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u039c\u03ac\u03b9\u03bf \u03c4\u03bf\u03c5 2018 \u03b4\u03b9\u03b1\u03c4\u03b5\u03bb\u03b5\u03af \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03bf\u03c5 \u0395\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b9\u03ba\u03bf\u03cd \u03a3\u03c5\u03bc\u03b2\u03bf\u03c5\u03bb\u03af\u03bf\u03c5 (Educational Council) \u03c4\u03bf\u03c5 \u03a4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03bf\u03cd \u0399\u03bd\u03c3\u03c4\u03b9\u03c4\u03bf\u03cd\u03c4\u03bf\u03c5 \u039c\u03b1\u03c3\u03b1\u03c7\u03bf\u03c5\u03c3\u03ad\u03c4\u03b7\u03c2 (\u039c\u0399\u03a4) \u03b3\u03b9\u03b1 \u03c4\u03bf\u03c5\u03c2 \u03b5\u03b9\u03c3\u03b5\u03c1\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5\u03c2 \u03c6\u03bf\u03b9\u03c4\u03b7\u03c4\u03ad\u03c2, \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u0391\u03c0\u03c1\u03af\u03bb\u03b9\u03bf \u03c4\u03bf\u03c5 2020 \u03b4\u03b9\u03b1\u03c4\u03b5\u03bb\u03b5\u03af \u03bc\u03ad\u03bb\u03bf\u03c2 \u03c4\u03bf\u03c5 \u0391\u03ba\u03b1\u03b4\u03b7\u03bc\u03b1\u03ca\u03ba\u03bf\u03cd \u03a3\u03c5\u03bc\u03b2\u03bf\u03c5\u03bb\u03af\u03bf\u03c5 \u03c4\u03bf\u03c5 \u039a\u03bf\u03b9\u03bd\u03c9\u03c6\u03b5\u03bb\u03bf\u03cd\u03c2 \u0399\u03b4\u03c1\u03cd\u03bc\u03b1\u03c4\u03bf\u03c2 \u0391\u03bb\u03ad\u03be\u03b1\u03bd\u03b4\u03c1\u03bf\u03c2 \u03a3. \u03a9\u03bd\u03ac\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a4\u03b1 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\u03c0\u03b9\u03b8\u03b1\u03bd\u03bf\u03c4\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03c6\u03c5\u03c3\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03b3\u03b5\u03bd\u03ce\u03bd \u03c3\u03c5\u03c3\u03c4\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd (\u03c0.\u03c7. \u03b1\u03ba\u03c1\u03b1\u03af\u03b1 \u03ba\u03bb\u03b9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03b5\u03c9\u03c1\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ac \u03c6\u03b1\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b1, \u03b5\u03c0\u03b9\u03c6\u03b1\u03bd\u03b5\u03b9\u03b1\u03ba\u03ae \u03ba\u03b1\u03b9 \u03c5\u03c0\u03cc\u03b3\u03b5\u03b9\u03b1 \u03c5\u03b4\u03c1\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd \u03bb\u03b5\u03ba\u03b1\u03bd\u03ce\u03bd, \u03b1\u03bd\u03c4\u03b9\u03c0\u03bb\u03b7\u03bc\u03bc\u03c5\u03c1\u03b9\u03ba\u03ac \u03ad\u03c1\u03b3\u03b1, \u03ad\u03c1\u03b3\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b1\u03bc\u03af\u03b5\u03c5\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2 \u03bd\u03b5\u03c1\u03bf\u03cd, \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1\u03c2 \u03b4\u03b9\u03ba\u03c4\u03cd\u03c9\u03bd \u03cd\u03b4\u03c1\u03b5\u03c5\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c7\u03ad\u03c4\u03b5\u03c5\u03c3\u03b7\u03c2, \u03c7\u03c9\u03c1\u03bf\u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b4\u03b9\u03ac\u03b4\u03bf\u03c3\u03b7 \u03b5\u03c0\u03b9\u03b4\u03b7\u03bc\u03b9\u03ce\u03bd \u03ba\u03b1\u03b9 \u03bb\u03bf\u03b9\u03bc\u03c9\u03b4\u03ce\u03bd \u03bd\u03cc\u03c3\u03c9\u03bd), \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c5\u03b4\u03c1\u03bf\u03ba\u03bb\u03b9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2, \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c5\u03b4\u03c1\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03b2\u03b1\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b4\u03b9\u03b1\u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03b5\u03c5\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc \u03ad\u03c1\u03b3\u03c9\u03bd \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03bf\u03cd \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03bf\u03cd.<\/p>\n<p>\u0394\u03b5\u03af\u03c4\u03b5 <a href=\"https:\/\/www.dropbox.com\/s\/f12as2ma4n8gsrz\/Resume_Langousis_EN_upatras.pdf?dl=0\">\u03b5\u03b4\u03ce<\/a> \u03c4\u03bf \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03cc \u03b2\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 \u0394\u03c1. \u0391. \u039b\u03b1\u03b3\u03b3\u03bf\u03cd\u03c3\u03b7.<\/p>\n<\/div><div class=\"nav fusion-mobile-tab-nav\"><ul class=\"nav-tabs nav-justified\" role=\"tablist\" aria-orientation=\"horizontal\"><li  role=\"presentation\"><a class=\"tab-link\" data-toggle=\"tab\" role=\"tab\" aria-controls=\"tab-3966bab21193379be8a\" aria-selected=\"false\" tabindex=\"-1\" id=\"mobile-fusion-tab-3966bab21193379be8a\" href=\"#tab-3966bab21193379be8a\"><h4 class=\"fusion-tab-heading\">\u0395\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03c3\u03b5\u03b9\u03c2<\/h4><\/a><\/li><\/ul><\/div><div class=\"tab-pane fade fusion-clearfix\" role=\"tabpanel\" tabindex=\"0\" aria-labelledby=\"fusion-tab-3966bab21193379be8a\" id=\"tab-3966bab21193379be8a\">\n<ol>\n<li>Cappelli, F., E. Volpi, A. Langousis, R. Deidda, S.M. Papalexiou, A. Perdios, S. Grimaldi (2026) Simulating sub-daily rainfall time series in the absence of sub-daily observations, <em>Journal of Hydrology<\/em>, <strong>675<\/strong>, 135660, <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2026.135660\">https:\/\/doi.org\/10.1016\/j.jhydrol.2026.135660<\/a><\/li>\n<li>Serafeim, A.V., N.Th. Fourniotis, D. Stergiopoulos and A. Langousis (2026) Numerical Simulation of Flow Maldistribution at Pipeline Junctions in Water Distribution Networks, <em>Dynamics<\/em>, <strong>6<\/strong>(1): 2, <a href=\"https:\/\/doi.org\/10.3390\/dynamics6010002\">https:\/\/doi.org\/10.3390\/dynamics6010002<\/a><\/li>\n<li>Langousis, A., A.A. Carsteanu and R. Deidda (2026) Analytical Approximation to the Distribution of Breakdown Coefficients for Binary Beta-Lognormal Discrete Multifractal Cascades, <em>Fractals<\/em>, <a href=\"https:\/\/doi.org\/10.1142\/S0218348X25501208\">https:\/\/doi.org\/10.1142\/S0218348X25501208<\/a><\/li>\n<li>Woldegebrael, S.M., N. Romano, D. Pumo, R. Deidda, M. Ippolito, M. Cannarozzo, A. Langousis, A.V. Serafeim, S. Manfreda, P. Nasta (2025) Empirical approaches to estimate rainfall erosivity from coarse temporal resolution precipitation data in the Mediterranean region, STOTEN, <strong>996<\/strong>, <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2025.180122\">https:\/\/doi.org\/10.1016\/j.scitotenv.2025.180122<\/a><\/li>\n<li>Bourantas, G.C., A. Sakellarios, N. Malamos, V.C. Loukopoulos, V.N. Burganos, K. Miller, A. Langousis, D.I. Fotiadis, A.A. Dimas, V.M. Calo (2025) The Discretization-Corrected Particle Strength Method for the Barotropic Vorticity Equations, <em>Numerical Methods in Fluids<\/em>, <a href=\"https:\/\/doi.org\/10.1002\/fld.70003\">https:\/\/doi.org\/10.1002\/fld.70003<\/a><\/li>\n<li>Izzaddin, A., A. Langousis, M. Yaseen and V. Iacobellis (2025) Dry GCMs vs Wet RCMs: Precipitation Biases Over Southern Italy, <em>Stoch. Env. Res. Risk Asses.<\/em>, <a href=\"https:\/\/doi.org\/10.1007\/s00477-025-03022-z\">https:\/\/doi.org\/10.1007\/s00477-025-03022-z<\/a> <a href=\"https:\/\/rdcu.be\/epFlK\">(active link)<\/a><\/li>\n<li>Cappelli, F., E. Volpi, A. Langousis, R. Deidda, A. Perdios,and S. Grimaldi (2025) Rainfall simulation based on parsimonious calibration of a multifractal canonical disaggregation scheme in the Arno river basin, Italy, <em>Journal of Hydrology: Regional Studies<\/em>, <strong>59<\/strong>, <a href=\"https:\/\/doi.org\/10.1016\/j.ejrh.2025.102447\">https:\/\/doi.org\/10.1016\/j.ejrh.2025.102447<\/a><\/li>\n<li>Cappelli, F., E. Volpi, A. Langousis, R. Deidda, A. Perdios, P. Furcolo and S. Grimaldi (2024) Sub-daily rainfall simulation using multifractal canonical disaggregation: a parsimonious calibration strategy based on intensity-duration-frequency curves, <em>Stoch. Env. Res. Risk Asses.<\/em>, <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00477-024-02827-8\">https:\/\/link.springer.com\/article\/10.1007\/s00477-024-02827-8<\/a><\/li>\n<li>Serafeim, A.V., N.Th. Fourniotis, R. Deidda, G. Kokosalakis and A. Langousis (2024) Leakages in Water Distribution Networks: Estimation Methods, Influential Factors, and Mitigation Strategies\u2014A Comprehensive Review, <em>Water<\/em>, <strong>16<\/strong>, 1534, <a href=\"https:\/\/doi.org\/10.3390\/w16111534\">https:\/\/doi.org\/10.3390\/w16111534<\/a><\/li>\n<li>Volpi, E., S. Grimaldi, A. Aghakouchak, A. Castellarin, F. Chebana, S.M. Papalexiou, H. Aksoy, A. B\u00e1rdossy, A. Cancelliere, Y. Chen, R. Deidda, U. Haberlandt, E. Eris, S. Fischer, F. Franc\u00e9s, D. Kavetski, T.R. Kjeldsen, K. Kochanek, A. Langousis, L.M. Ordu\u00f1a, A. Montanari, S.D. Nerantzaki, T.B.M.J. Ouarda, I. Prosdocimi, E. Ragno, C.R. Rajulapati, A.I. Requena, E. Ridolfi, M. Sadegh, A. Schumann and A. Sharma (2024) The legacy of STAHY: Milestones, achievements, challenges, and open problems in statistical hydrology, <em>Hydrological Sciences Journal<\/em>, <a href=\"https:\/\/doi.org\/10.1080\/02626667.2024.2385686\">https:\/\/doi.org\/10.1080\/02626667.2024.2385686<\/a><\/li>\n<li>Izzaddin, A., A. Langousis, V. Totaro, M. Yaseen and V. Iacobellis (2024) A new diagram for performance evaluation of complex models, <em>Stoch. Env. Res. Risk Asses.<\/em>, <a href=\"https:\/\/doi.org\/10.1007\/s00477-024-02678-3\">https:\/\/doi.org\/10.1007\/s00477-024-02678-3<\/a><\/li>\n<li>Emmanouil, S., A. Langousis, E.I. Nikolopoulos, and E.N. Anagnostou (2023) Exploring the future of rainfall extremes over CONUS: The effects of high emission climate change trajectories on the intensity and frequency of rare precipitation events, Earth\u2019s Future, 11, e2022EF003039, <a href=\"http:\/\/dx.doi.org\/10.1029\/2022EF003039\">http:\/\/dx.doi.org\/10.1029\/2022EF003039<\/a><\/li>\n<li>Bakas, N.P., A. Langousis, M.A. Nikolaou and S.A. Chatzichristofis (2023) Gradient Free Stochastic Training of ANNs, with Local Approximation in Partitions, <em>Stoch. Env. Res. Risk Asses<\/em>, https:\/\/doi.org\/10.1007\/s00477-023-02407-2 <a href=\"https:\/\/doi.org\/10.1007\/s00477-023-02407-2\">(active link)<\/a><\/li>\n<li>Serafeim, A.V., A. Perdios, D. Gkikas, N. Th. Fourniotis and A. Langousis (2022) OX FreeSurf: Automated Free Surface Calculation in Open-Channel Flow, <em>Water Utility Journal<\/em>, <strong>30-31<\/strong>: 33-42 <a href=\"http:\/\/ewra.net\/wuj\/pdf\/WUJ_2022_30-31_04.pdf\">(active link) <\/a><a href=\"https:\/\/github.com\/alangousis\/OXFreeSurf\">(code)<\/a><\/li>\n<li>Serafeim, A.V., G. Kokosalakis, R. Deidda, N.Th. Fourniotis and A. Langousis (2022) Combining Statistical Clustering with Hydraulic Modeling for Resilient Reduction of Water Losses in Water Distribution Networks: Large Scale Application Study in the City of Patras in Western Greece, <em>Water<\/em>, <strong>14<\/strong>, 3493, <a href=\"https:\/\/doi.org\/10.3390\/w14213493\">https:\/\/doi.org\/10.3390\/w14213493<\/a><\/li>\n<li>Perdios, A., G. Kokosalakis, N.Th. Fourniotis, I. Karathanasi and A. Langousis (2022) Statistical framework for the detection of pressure regulation malfunctions and issuance of alerts in water distribution networks, <em>Stoch. Env. Res. Risk Asses<\/em>, <a href=\"https:\/\/doi.org\/10.1007\/s00477-022-02256-5\">https:\/\/doi.org\/10.1007\/s00477-022-02256-5<\/a> <a href=\"https:\/\/rdcu.be\/cQldM\">(active link)<\/a><\/li>\n<li>Koutsantonis, K., N.P. Bakas, V. Plevris, A. Langousis and S.A. Chatzichristofis (2022) Bibliometric Literature Review of Adaptive Learning Systems, <em>Sustainability<\/em>, <strong>14<\/strong>, 12684, <a href=\"https:\/\/doi.org\/10.3390\/su141912684\">https:\/\/doi.org\/10.3390\/su141912684<\/a><\/li>\n<li>Papacharalampous, G. and A. Langousis (2022) Probabilistic water demand forecasting using quantile regression algorithms, <em>Water Resour. Res.<\/em>, e2021WR030216, <a href=\"https:\/\/doi.org\/10.1029\/2021WR030216\">https:\/\/doi.org\/10.1029\/2021WR030216<\/a><\/li>\n<li>Grimaldi, S., E. Volpi, A. Langousis, S.M. Papalexiou, D.L. De Luca, R. Piscopia, S.D. Nerantzaki, G. Papacharalampous and A. Petroselli (2022) Continuous hydrologic modelling for small and ungauged basins: A comparison of eight rainfall models for sub-daily runoff simulations, <em>J. Hydrol.<\/em>, <strong>610<\/strong>, <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2022.127866\">https:\/\/doi.org\/10.1016\/j.jhydrol.2022.127866<\/a><\/li>\n<li>Serafeim, A.V., G. Kokosalakis, R. Deidda, I. Karathanasi and A. Langousis (2022) Probabilistic framework for the parametric modeling of leakages in water distribution networks: large scale application to the City of Patras in Western Greece,<em> Stoch. Env. Res. Risk Asses<\/em>, <a href=\"https:\/\/doi.org\/10.1007\/s00477-022-02213-2\">https:\/\/doi.org\/10.1007\/s00477-022-02213-2<\/a> <a href=\"https:\/\/rdcu.be\/cKLPp\">(active link)<\/a><\/li>\n<li>Emmanouil, S., A. Langousis, E.I. Nikolopoulos, and E.N. Anagnostou (2022) The spatiotemporal evolution of rainfall extremes in a changing climate: A CONUS-wide assessment based on multifractal scaling arguments, <em>Earth&#8217;s Future<\/em>, <strong>10<\/strong>, e2021EF002539, <a href=\"https:\/\/doi.org\/10.1029\/2021EF002539\">https:\/\/doi.org\/10.1029\/2021EF002539<\/a><\/li>\n<li>Serafeim, A.V., G. Kokosalakis, R. Deidda, I. Karathanasi and A. Langousis (2022) Probabilistic Minimum Night Flow Estimation in Water Distribution Networks and Comparison with the Water Balance Approach: Large-Scale Application to the City Center of Patras in Western Greece, <em>Water<\/em>, <strong>14<\/strong>, 98, <a href=\"https:\/\/doi.org\/10.3390\/w14010098\">https:\/\/doi.org\/10.3390\/w14010098<\/a><\/li>\n<li>Serafeim, A., G. Kokosalakis, R. Deidda, I. Karathanasi and A. Langousis (2021) Probabilistic estimation of minimum night flow in water distribution networks: large-scale application to the city of Patras in western Greece,\u00a0<em> Stoch. Env. Res. Risk Asses.<\/em>, <a href=\"https:\/\/doi.org\/10.1007\/s00477-021-02042-9\">https:\/\/doi.org\/10.1007\/s00477-021-02042-9<\/a> <a href=\"https:\/\/rdcu.be\/cIPT1\">(active link)<\/a><\/li>\n<li>Emmanouil, S., A. Langousis, E.I. Nikolopoulos, and E.N. Anagnostou (2021) An ERA-5 derived CONUS-wide high-resolution precipitation dataset based on a refined parametric statistical downscaling framework, <em>Water Resour. Res.<\/em>, <a href=\"https:\/\/doi.org\/10.1029\/2020WR029548\">https:\/\/doi.org\/10.1029\/2020WR029548<\/a><\/li>\n<li>Bakas, N.P., V. Plevris, A. Langousis and S.A. Chatzichristofis (2021) ITSO: a novel inverse transform sampling-based optimization algorithm for stochastic search, <em>Stoch Environ Res Risk Assess<\/em>, <a href=\"https:\/\/doi.org\/10.1007\/s00477-021-02025-w\">https:\/\/doi.org\/10.1007\/s00477-021-02025-w<\/a> <a href=\"https:\/\/rdcu.be\/cjtBL\">(active link)<\/a><\/li>\n<li>Deidda, R., M. Hellies and A. Langousis (2021) A critical analysis of the shortcomings in spatial frequency analysis of rainfall extremes based on homogeneous regions and a comparison with a hierarchical boundaryless approach, <em>Stoch Environ Res Risk Assess<\/em>, <a href=\"https:\/\/doi.org\/10.1007\/s00477-021-02008-x\">https:\/\/doi.org\/10.1007\/s00477-021-02008-x<\/a> <a href=\"https:\/\/rdcu.be\/cIPT5\">(active link)<\/a><\/li>\n<li>Ruggiu, D., F. Viola and A. Langousis (2021) A non-parametric procedure to assess the accuracy of the normality assumption for annual rainfall totals, based on the marginal statistics of daily rainfall: An application to NOAA-NCDC rainfall database, <em>J. Appl. Meteor. &amp; Clim.<\/em>, <strong>60<\/strong>(4), 595-605, <a href=\"https:\/\/doi.org\/10.1175\/JAMC-D-20-0060.1\">https:\/\/doi.org\/10.1175\/JAMC-D-20-0060.1<\/a><\/li>\n<li>Tyralis, H., G. Papacharalampous, A. Langousis and S.M. Papalexiou (2021) Explanation and Probabilistic Prediction of Hydrological Signatures with Statistical Boosting Algorithms, <em>Remote Sens.<\/em>, <strong>13<\/strong>, <a href=\"https:\/\/doi.org\/10.3390\/rs13030333\">https:\/\/doi.org\/10.3390\/rs13030333<\/a><\/li>\n<li>Papacharalampous, G., H. Tyralis, S.M. Papalexiou, A. Langousis, S. Khatami, E. Volpi, and S. Grimaldi (2021) Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity, <em>STOTEN<\/em>, <strong>767<\/strong>, <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2020.144612\">https:\/\/doi.org\/10.1016\/j.scitotenv.2020.144612<\/a><\/li>\n<li>Tyralis, \u0397., G. Papacharalampous and A. Langousis (2021) Streamflow Forecasting at Large Time Scales using Statistical Models, Ch. 2, In: Advances in Streamflow Forecasting, Edts: P. Sharma and D. Machiwal, Elsevier, ISBN: 9780128206737. <a href=\"https:\/\/doi.org\/10.1016\/B978-0-12-820673-7.00004-4\">(active link)<\/a><\/li>\n<li>Perra, E., F. Viola, R. Deidda, D. Caracciolo, C. Paniconi and A. Langousis (2020) Hydrologic impacts of surface elevation and spatial resolution in statistical correction approaches: The case study of Flumendosa basin, Italy, <em> J. Hydrol. Eng.<\/em> <em>ASCE<\/em>, <strong>25<\/strong>(9), https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001969 <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)HE.1943-5584.0001969\">(active link)<\/a><\/li>\n<li>Emmanouil, S., A. Langousis, E.I. Nikolopoulos, and E.N. Anagnostou (2020) Quantitative assessment of annual maxima, peaks-over-threshold and multifractal parametric approaches in estimating intensity-duration-frequency curves from short rainfall records, <em> J. Hydrol.<\/em>, <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2020.125151\">https:\/\/doi.org\/10.1016\/j.jhydrol.2020.125151<\/a> <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2020.125151\">(active link)<\/a>.<\/li>\n<li>Tyralis, H., G. Papacharalampous, and A. Langousis (2020) Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms, <em>Neural Comput &amp; Applic<\/em>, <a href=\"https:\/\/doi.org\/10.1007\/s00521-020-05172-3\">https:\/\/doi.org\/10.1007\/s00521-020-05172-3<\/a> <a href=\"https:\/\/doi.org\/10.1007\/s00521-020-05172-3\">(active link)<\/a>.<\/li>\n<li>Langousis, A., and A.A. Carsteanu (2020) Undersampling in action and at scale: Application to the COVID-19 pandemic, <em> Stoch. Environ. Res. Risk Assess.<\/em>, <a href=\"https:\/\/doi.org\/10.1007\/s00477-020-01821-0\">https:\/\/doi.org\/10.1007\/s00477-020-01821-0<\/a> <a href=\"https:\/\/rdcu.be\/b4AA0\">(active link)<\/a><\/li>\n<li>Perdios, A. and A. Langousis (2020) Revisiting the Statistical Scaling of Annual Discharge Maxima at Daily Resolution with Respect to the Basin Size in the Light of Rainfall Climatology, <em>Water<\/em>, <strong>12<\/strong>(2), 610; https:\/\/doi.org\/10.3390\/w12020610 <a href=\"https:\/\/www.mdpi.com\/2073-4441\/12\/2\/610\">(active link)<\/a>.<\/li>\n<li>Carsteanu, A.A, and A. Langousis (2020) Break of temporal symmetry in a stationary Markovian setting: evidencing an arrow of time, and parameterizing linear dependencies using fractional low-order joint moments, <em> Stoch. Environ. Res. Risk Assess.<\/em>, <strong>34<\/strong>, 1\u20136, https:\/\/doi.org\/10.1007\/s00477-019-01749-0 <a href=\"https:\/\/rdcu.be\/cIPT6\">(active link)<\/a>.<\/li>\n<li>Papacharalampous, G., H. Tyralis, A. Langousis, A.W. Jayawardena, B. Sivakumar, N. Mamassis, A. Montanari, and D. Koutsoyiannis (2019) Probabilistic hydrological post-processing at scale: Why and how to apply machine-learning quantile regression algorithms, <em>Water, <\/em><strong>11<\/strong>(10)<em>, <\/em>2126; https:\/\/doi.org\/10.3390\/w11102126 <a href=\"https:\/\/www.mdpi.com\/2073-4441\/11\/10\/2126\">(active link)<\/a>.<\/li>\n<li>Tyralis, H., G. Papacharalampous, A. Burnetas and A. Langousis (2019) Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS, <em> J. Hydrol.<\/em>, <strong>577<\/strong>, doi:10.1016\/j.jhydrol.2019.123957 <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2019.123957\">(active link)<\/a>.<\/li>\n<li>Tyralis, H., G. Papacharalampous and A. Langousis (2019) A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources, <em>Water<\/em>, <strong>11<\/strong>(5), 910, doi:10.3390\/w11050910, <a href=\"https:\/\/doi.org\/10.3390\/w11050910\">(active link)<\/a>.<\/li>\n<li>Fei, X., R. Xiao, G. Christakos, A. Langousis, Z. Ren, Y. Tian and X. Lv (2019) Comprehensive assessment and source apportionment of heavy metals in Shanghai agricultural soils with different fertility levels, <em>Ecological Indicators<\/em>, <strong>106<\/strong>, 105508, <a href=\"https:\/\/doi.org\/10.1016\/j.ecolind.2019.105508\">https:\/\/doi.org\/10.1016\/j.ecolind.2019.105508<\/a>, <a href=\"https:\/\/doi.org\/10.1016\/j.ecolind.2019.105508\">(active link)<\/a><\/li>\n<li>He, J., G. Christakos, J. Wu, P. Jankowski, A. Langousis, Y. Wang, W. Yin and W. Zhang (2019) Probabilistic Logic Analysis of the Highly Heterogeneous Spatiotemporal HFRS Incidence Distribution in Heilongjiang Province (China) During 2005-2013, <em>PLoS Negl. <\/em><em> Dis.<\/em>, <strong>13<\/strong>(1), e0007091, <a href=\"https:\/\/doi.org\/10.1371\/journal.pntd.0007091\">https:\/\/doi.org\/10.1371\/journal.pntd.0007091<\/a> <a href=\"https:\/\/journals.plos.org\/plosntds\/article?id=10.1371\/journal.pntd.0007091\">(active link)<\/a>.<\/li>\n<li>Tyralis, H. and A. Langousis (2019) Estimation of intensity\u2013duration\u2013frequency curves using max-stable processes, <em> Stoch. Environ. Res. Risk Assess.<\/em>, <strong>33<\/strong>(1), 239-252, <a href=\"https:\/\/doi.org\/10.1007\/s00477-018-1577-2\">https:\/\/doi.org\/10.1007\/s00477-018-1577-2<\/a> <a href=\"https:\/\/rdcu.be\/2COo\">(active link)<\/a><\/li>\n<li>Langousis, A., V. Kaleris, A. Kokosi and G. Mamounakis (2018) Markov based transition probability geostatistics in groundwater applications: assumptions and limitations, <em> Stoch. Environ. Res. Risk Assess.<\/em>, <strong>32<\/strong>(7), 2129-2146, doi: https:\/\/doi.org\/10.1007\/s00477-017-1504-y <a href=\"http:\/\/rdcu.be\/DFwa\">(active link)<\/a>.<\/li>\n<li>Langousis, A., R. Deidda, A. Carsteanu, C. Onof, P. Burlando, R. Uijlenhoet and A. B\u00e1rdossy (2018) Precipitation measurement and modelling: uncertainty, variability, observations, ensemble simulation and downscaling, <em> J. Hydrol.<\/em>, <strong>556<\/strong>, 824-26, https:\/\/doi.org\/10.1016\/j.jhydrol.2017.09.016 <a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2017.09.016\">(active link)<\/a>.<\/li>\n<li>Emmanouil, S. and A. Langousis (2017) UPStream: Automated Hydraulic Design of Pressurized Water Distribution Networks, <em>SoftwareX<\/em>, <strong>6<\/strong>, 248-254, <a href=\"https:\/\/doi.org\/10.1016\/j.softx.2017.09.001\">https:\/\/doi.org\/10.1016\/j.softx.2017.09.001<\/a> <a href=\"https:\/\/doi.org\/10.1016\/j.softx.2017.09.001\">(active link)<\/a>.<\/li>\n<li>Mamalakis, A., A. Langousis, R. Deidda and M. Marrocu (2017) A parametric approach for simultaneous bias correction and high-resolution downscaling of climate model rainfall, <em>Water Resour. Res.<\/em>, <strong>53<\/strong>, WRCR22499, doi: 10.1002\/2016WR019578 <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/2016WR019578\/abstract\">(active link)<\/a> <a href=\"http:\/\/agupubs.onlinelibrary.wiley.com\/hub\/article\/10.1002\/2016WR019578\/editor-highlight\/\">(WRR Editors&#8217; Highlight)<\/a>.<\/li>\n<li>Kaleris, V. and A. Langousis (2017) Comparison of two rainfall-runoff models: Effects of conceptualization, model calibration and parameter variability, <em>J. Hydrological Sciences Journal<\/em>, <strong>62<\/strong>(5), 729-748, doi: 10.1080\/02626667.2016.1250899 <a href=\"http:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/02626667.2016.1250899?journalCode=thsj20\">(active link)<\/a>.<\/li>\n<li>Langousis, A., A. Mamalakis, M. Puliga and R. Deidda (2016) Threshold detection for the generalized Pareto distribution: Review of representative methods and application to the NOAA NCDC daily rainfall database, <em>Water Resour. Res.<\/em>, <strong>52<\/strong>, doi:10.1002\/2015WR018502 <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/2015WR018502\/abstract\">(active link)<\/a>.<\/li>\n<li>Langousis, A., A. Mamalakis, R. Deidda and M. Marrocu (2016) Assessing the relative effectiveness of statistical downscaling and distribution mapping in reproducing rainfall statistics based on climate model results, <em>Water Resour. Res.<\/em>, <strong>52<\/strong>, doi:10.1002\/2015WR017556 <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/2015WR017556\/abstract\">(active link)<\/a>.<\/li>\n<li>Langousis, A. and V. Kaleris (2014) Statistical framework to simulate daily rainfall series conditional on upper-air predictor variables, <em>Water Resour. Res.<\/em>, <strong>50<\/strong>(5), 3907-3932, doi: 10.1002\/2013WR014936 <a href=\"http:\/\/dx.doi.org\/10.1002\/2013WR014936\">(active link)<\/a>.<\/li>\n<li>Deidda, R., M. Marrocu, G. Caroletti, G. Pusceddu, A. Langousis, V. Lucarini, M. Puliga, and A. Speranza (2013) Regional climate models&#8217; performance in representing precipitation and temperature over selected Mediterranean areas, <em>Hydrol.<\/em> <em>Earth Syst. Sci<\/em>, <strong>17<\/strong>(12), 5041-5059, doi:10.5194\/hess-17-5041-2013 <a href=\"http:\/\/www.hydrol-earth-syst-sci.net\/17\/5041\/2013\/hess-17-5041-2013.html\">(active link)<\/a>.<\/li>\n<li>Angulo, J.M., H.-L.Yu, A. Langousis, A. Kolovos, J-F Wang, D. Madrid and G. Christakos (2013) Spatiotemporal infectious disease modeling: A BME-SIR approach, PLoS ONE <strong>8<\/strong>(9), e72168. doi:10.1371\/journal.pone.0072168 <a href=\"http:\/\/www.plosone.org\/article\/info%3Adoi%2F10.1371%2Fjournal.pone.0072168;jsessionid=45132FC567AD44FFE08EB504C31D719C\">(active link)<\/a><strong>.<\/strong><\/li>\n<li>Langousis, A. and V. Kaleris (2013) Theoretical framework to estimate spatial rainfall averages conditional on river discharges and point rainfall measurements from a single location: an application to western Greece, <em> Hydrol. Earth Syst. Sci.<\/em>, <strong>17<\/strong>, 1241-1263, doi:10.5194\/hess-17-1241-2013 <a href=\"http:\/\/www.hydrol-earth-syst-sci.net\/17\/1241\/2013\/hess-17-1241-2013.html\">(active link)<\/a>.<\/li>\n<li>Langousis, A., A.A. Carsteanu and Deidda (2013) A Simple Approximation to Multifractal Rainfall Maxima using a Generalized Extreme Value Distribution Model, <em>Stoch. Environ. Res. Risk Assess.<\/em>, doi: 10.1007\/s00477-013-0687-0 <a href=\"https:\/\/rdcu.be\/cIPUj\">(active link)<\/a>.<\/li>\n<li>Angulo, J.M., H.-L.Yu, A. Langousis, D. Madrid and G. Christakos (2012) Modeling of Space\u2013time Infectious Disease Spread under Conditions of Uncertainty, <em>International Journal of Geographical Information Science<\/em>, <strong>26<\/strong>(10), 1751-1772, doi:10.1080\/13658816.2011.648642 <a href=\"http:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/13658816.2011.648642\">(active link)<\/a><strong>.<\/strong><\/li>\n<li>Koutsoyiannis, D. and A. Langousis (2011) Precipitation, In: <em>Treaties on Water Sciences: Hydrology<\/em>, Vol. 2, Edts: P. Wilderer (in chief) and S. Uhlenbrook, Academic Press, Oxford, pp. 27\u201378 <a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/B9780444531995000270\">(active link)<\/a>.<\/li>\n<li>Veneziano D. and A. Langousis (2010) Scaling and Fractals in Hydrology, In: <em>Advances in Data-based Approaches for Hydrologic Modeling and Forecasting<\/em>, Edited by: B. Sivakumar and R. Berndtsson, World Scientific, 145p <a href=\"http:\/\/www.worldscientific.com\/worldscibooks\/10.1142\/7783\">(active link)<\/a>.<\/li>\n<li>Veneziano, D., A. Langousis and C. Lepore (2009) New Asymptotic and Pre-Asymptotic Results on Rainfall Maxima from Multifractal Theory, <em> Water Resour. Res.<\/em>, <strong>45<\/strong>, doi:10.1029\/2009WR008257 <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1029\/2009WR008257\/abstract\">(active link)<\/a>.<\/li>\n<li>Langousis, A. and D. Veneziano (2009) Long-term Rainfall Risk from Tropical Cyclones in Coastal Areas, <em> Resour. Res.<\/em>, <strong>45<\/strong>, doi:10.1029\/2008WR007624 <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1029\/2008WR007624\/full\">(active link)<\/a>.<\/li>\n<li>Langousis, A. and D. Veneziano (2009) Theoretical Model of Rainfall in Tropical Cyclones for the Assessment of Long-term Risk, <em> J. Geophys. Res.<\/em>, <strong>114<\/strong>, doi:10.1029\/2008JD010080 <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1029\/2008JD010080\/abstract\">(active link)<\/a>.<\/li>\n<li>Langousis A, D. Veneziano, P. Furcolo, and C. Lepore (2009) Multifractal Rainfall Extremes: Theoretical Analysis and Practical Estimation, <em>Chaos Solitons and Fractals<\/em>, <strong>39<\/strong>, 1182-1194, doi:10.1016\/j.chaos.2007.06.004 <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0960077907003700\">(active link)<\/a>.<\/li>\n<li>Koutsoyiannis,\u00a0D., C. Makropoulos,, A. Langousis, S. Baki, A. Efstratiadis, A. Christofides, G. Karavokiros and N. Mamassis (2009) Climate, Hydrology, Energy, Water: Recognizing Uncertainty and Seeking Sustainability, <em> Hydrol. Earth Syst. Sci.<\/em>, <strong>13<\/strong>, 247-257 <a href=\"http:\/\/www.hydrol-earth-syst-sci.net\/13\/247\/2009\/hess-13-247-2009.html\">(active link)<\/a>.<\/li>\n<li>Langousis, A., D. Veneziano, and S. Chen (2008) Boundary Layer Model for Moving Tropical Cyclones, In: <em>Hurricanes and Climate Change<\/em>, Edts. J. Elsner and T. Jagger, Springer, NY, doi: 10.1007\/978-0-387-09410-6, pp. 265-286 <a href=\"https:\/\/link.springer.com\/book\/10.1007\/978-0-387-09410-6\">(active link)<\/a>.<\/li>\n<li>Langousis, A. and D. Veneziano (2007) Intensity-Duration-Frequency Curves from Scaling Representations of Rainfall, <em>Water<\/em> <em>Resour. Res.<\/em>, <strong>43<\/strong>, doi: 10.1029\/2006WR005245 <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1029\/2006WR005245\/abstract\">(active link)<\/a>.<\/li>\n<li>Veneziano, D., C. Lepore, A. Langousis, and P. Furcolo (2007) Marginal Methods of Intensity-duration-frequency Estimation in Scaling and Nonscaling Rainfall, <em>Water Resour. Res.<\/em>, <strong>43<\/strong>, doi:10.1029\/2007WR006040 <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1029\/2007WR006040\/abstract\">(active link)<\/a>.<\/li>\n<li>Veneziano, D., A. Langousis, and P. Furcolo (2006) Multifractality and Rainfall Extremes: A Review, <em> Water Resour. Res.<\/em>, <strong>42<\/strong>, doi:10.1029\/2005WR004716 <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1029\/2005WR004716\/abstract\">(active link)<\/a>.<\/li>\n<li>Langousis, A. and D. Koutsoyiannis (2006) A Stochastic Methodology for Generation of Seasonal Time Series Reproducing Over-year Scaling Behavior, <em> J. Hydrol.<\/em>, <strong>322<\/strong> (1-4), 138-154 <a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0022169405001101\">(active link)<\/a>.<\/li>\n<li>Veneziano, D. and A. Langousis (2005) The Maximum of Multifractal Cascades: Exact Distribution and Approximations, <em>Fractals<\/em>, <strong>13<\/strong>(4), 311-324 <a href=\"http:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218348X0500291X?journalCode=fractals\">(active link)<\/a>.<\/li>\n<li>Veneziano, D. and A. Langousis (2005) The Areal Reduction Factor a Multifractal Analysis, <em>Water Resour. Res<\/em>., <strong>41<\/strong>, doi:10.1029\/2004WR003765 <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1029\/2004WR003765\/abstract\">(active link)<\/a>.<\/li>\n<\/ol>\n<\/div><div class=\"nav fusion-mobile-tab-nav\"><ul class=\"nav-tabs nav-justified\" role=\"tablist\" aria-orientation=\"horizontal\"><li  role=\"presentation\"><a class=\"tab-link\" data-toggle=\"tab\" role=\"tab\" aria-controls=\"tab-dd230846aa5b4387d04\" aria-selected=\"false\" tabindex=\"-1\" id=\"mobile-fusion-tab-dd230846aa5b4387d04\" href=\"#tab-dd230846aa5b4387d04\"><h4 class=\"fusion-tab-heading\">\u039c\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03b1<\/h4><\/a><\/li><\/ul><\/div><div class=\"tab-pane fade fusion-clearfix\" role=\"tabpanel\" tabindex=\"0\" aria-labelledby=\"fusion-tab-dd230846aa5b4387d04\" id=\"tab-dd230846aa5b4387d04\">\n<p>\u03a0\u03c1\u03bf\u03c0\u03c4\u03c5\u03c7\u03b9\u03b1\u03ba\u03ac \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03b1<\/p>\n<ul>\n<li><a 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nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1331.2px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:0px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><p>\u00a0<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u039b\u03b1\u03b3\u03b3\u03bf\u03cd\u03c3\u03b7\u03c2 \u0391\u03bd\u03b4\u03c1\u03ad\u03b1\u03c2 \u039a\u03b1\u03b8\u03b7\u03b3\u03b7\u03c4\u03ae\u03c2 \u03a4\u03bc\u03ae\u03bc\u03b1 \u03a0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ce\u03bd \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b9\u03bf \u03a0\u03b1\u03c4\u03c1\u03ce\u03bd 26504, \u03a1\u03af\u03bf \u03a4\u03b7\u03bb\u03ad\u03c6\u03c9\u03bd\u03bf: 2610 996594, 6599 andlag@upatras.gr<\/p>\n","protected":false},"author":8,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4588","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.civil.upatras.gr\/index.php\/wp-json\/wp\/v2\/pages\/4588","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.civil.upatras.gr\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.civil.upatras.gr\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.civil.upatras.gr\/index.php\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/www.civil.upatras.gr\/index.php\/wp-json\/wp\/v2\/comments?post=4588"}],"version-history":[{"count":52,"href":"https:\/\/www.civil.upatras.gr\/index.php\/wp-json\/wp\/v2\/pages\/4588\/revisions"}],"predecessor-version":[{"id":16566,"href":"https:\/\/www.civil.upatras.gr\/index.php\/wp-json\/wp\/v2\/pages\/4588\/revisions\/16566"}],"wp:attachment":[{"href":"https:\/\/www.civil.upatras.gr\/index.php\/wp-json\/wp\/v2\/media?parent=4588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}