{"id":893,"date":"2025-09-26T09:54:25","date_gmt":"2025-09-26T09:54:25","guid":{"rendered":"https:\/\/ivory-network.eu\/?page_id=893"},"modified":"2026-09-15T14:31:28","modified_gmt":"2026-09-15T14:31:28","slug":"dc05-research-journal","status":"publish","type":"page","link":"https:\/\/ivory-network.eu\/index.php\/dc05-research-journal\/","title":{"rendered":"DC05 Research Journal"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_row _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.23.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221; theme_builder_area=&#8221;post_content&#8221;][et_pb_code 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-->.ip-partner{display:flex;align-items:center;justify-content:flex-start;gap:8px;min-height:32px}.ip-partner span{line-height:24px;white-space:nowrap}.ip-partner img{width:54px;height:26px;object-fit:contain;display:block;flex:0 0 54px}.ip-affiliations{gap:16px;flex-wrap:wrap}.ip-affiliations>div{padding-right:16px}<!-- [et_pb_line_break_holder] -->.ivory-profile .ip-hero h1{text-align:justify;text-align-last:left}<!-- [et_pb_line_break_holder] --><\/style>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"ivory-profile\">\n<div class=\"ip-crumb\">Home \u203a Our People \u203a Doctoral Candidates \u203a DC5 \u2013 Ajay Iyer<\/div>\n<div class=\"ip-grid\">\n<aside class=\"ip-sidebar\"><img decoding=\"async\" class=\"ip-photo\" src=\"https:\/\/ivory-network.eu\/wp-content\/uploads\/2024\/09\/DC5-Ajay-IYER-logo.png\" alt=\"Ajay Iyer\"><\/p>\n<div class=\"ip-panel\">\n<h3><img decoding=\"async\" class=\"ip-icon-img\" src=\"https:\/\/ivory-network.eu\/wp-content\/uploads\/2026\/09\/education-icon.png\" alt=\"\">Education<\/h3>\n<pee>MIT MicroMasters Program in Statistics and Data Science<\/pee><pee>Masters in International Business<!\u2013- [et_pb_br_holder] -\u2013>Grenoble Graduate School of Business<\/pee><pee>Bachelors in Instrumentation Engineering<!\u2013- [et_pb_br_holder] -\u2013>Mumbai University<\/pee>\n<hr>\n<h3><img decoding=\"async\" class=\"ip-icon-img\" src=\"https:\/\/ivory-network.eu\/wp-content\/uploads\/2026\/09\/links-icon.png\" alt=\"\">Links<\/h3>\n<p><a class=\"ip-link\" href=\"https:\/\/www.linkedin.com\/in\/ajay-iyer-4179765\/\" target=\"_blank\" rel=\"noopener noreferrer\">LinkedIn <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div>\n<\/aside>\n<p><main><\/p>\n<div class=\"ip-hero\"><span class=\"ip-tag\">DC5<\/span><\/p>\n<h1>Mitigation Strategies for Driver Distraction and Drowsiness (DDD) at different levels of Automation<\/h1>\n<div class=\"ip-name\">Ajay Iyer<\/div>\n<div class=\"ip-slogan\">Safer mobility<!\u2013- [et_pb_br_holder] -\u2013>for a brighter<!\u2013- [et_pb_br_holder] -\u2013>tomorrow<\/div>\n<\/div>\n<div class=\"ip-affiliations\">\n<div class=\"ip-partner\"><img decoding=\"async\" src=\"https:\/\/ivory-network.eu\/wp-content\/uploads\/2023\/11\/TU-Delft.png\" alt=\"TU Delft logo\"><\/div>\n<div class=\"ip-partner\"><img decoding=\"async\" src=\"https:\/\/ivory-network.eu\/wp-content\/uploads\/2023\/12\/LAB-logo.png\" alt=\"LAB logo\"><\/div>\n<div>\u2667 \u00a0 Work Package 5<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">AI for Road User Assistance<\/span><\/div>\n<\/div>\n<section class=\"ip-panel ip-glance\">\n<h2><span class=\"ip-icon ip-teal\">\u25ce<\/span>Research at a glance<\/h2>\n<pee>Driver distraction and drowsiness (DDD) are implicated in a large share of fatal and serious-injury crashes and remain a persistent risk even as Advanced Driver-Assistance Systems become widespread. My research develops AI-based methods to detect DDD and support its mitigation through driver behavioural precursors \u2014 the subtle changes that appear before a driver is visibly drowsy or distracted \u2014 across SAE automation levels L0 to L2. Using large naturalistic driving datasets, I combine computer-vision analysis of facial and ocular behaviour with vehicle kinematics and physiological signals. Current work links these indicators to measurable risk, such as reduced time-to-collision and harsh braking and examines how automation changes DDD patterns. The goal is to enhance DDD mitigation by improving early detection and strengthening the evidence base for driver monitoring systems (DMS) that intervene before risk materialises.<\/pee><\/section>\n<section class=\"ip-panel ip-objectives\">\n<h2><svg class=\"ip-target-icon\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><circle cx=\"12\" cy=\"12\" r=\"5.5\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg>Research objectives<\/h2>\n<ul>\n<li>Quantify how DDD indicators and their behavioural precursors evolve across different naturalistic driving situations and SAE automation levels (L0\u2013L2) and link them to the risk of traffic conflicts and crashes.<\/li>\n<li>Develop vision-based DDD detection on large-scale naturalistic driving video databases, extracting behavioural and ocular indicators of driver state.<\/li>\n<li>Fuse behavioural, kinematic and physiological data streams to improve detection accuracy and generalisability across drivers and driving situations.<\/li>\n<li>Translate the findings into evidence-based recommendations for driver monitoring systems (DMS) and for the design of automation features that target DDD.<\/li>\n<\/ul>\n<\/section>\n<section class=\"ip-section\">\n<div class=\"ip-section-title\">\n<h2><svg class=\"ip-heading-icon\" aria-hidden=\"true\" viewBox=\"0 0 32 32\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M5 8H2v22h22v-3M9 2h15l6 6v18H9zM23 2v7h7M13 13h13M13 18h13M13 22h8\"\/><\/svg>Publications<\/h2>\n<\/div>\n<div class=\"ip-table-wrap\">\n<table>\n<thead>\n<tr>\n<th>Title<\/th>\n<th>Authors<\/th>\n<th>Venue<\/th>\n<th>Year<\/th>\n<th>Link<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Characterizing driver drowsiness in automated driving: A machine learning analysis of naturalistic driving data.<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Accepted and presented; proceedings publication pending<\/span><\/td>\n<td>Iyer, A., Afghari, A.P., Papadimitriou, E.<\/td>\n<td>RSS<\/td>\n<td>2026<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<section class=\"ip-section\">\n<div class=\"ip-section-title\">\n<h2><svg class=\"ip-heading-icon\" aria-hidden=\"true\" viewBox=\"0 0 32 32\" fill=\"currentColor\"><circle cx=\"18\" cy=\"6\" r=\"5\"\/><path d=\"M9 17v-2c0-5 18-5 18 0v2zM3 19h28v4H3zM10 24h15l-2 8H12z\"\/><path d=\"M5 19v-6l3-4\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"\/><circle cx=\"8\" cy=\"9\" r=\"2.5\"\/><\/svg>Conference contributions<\/h2>\n<\/div>\n<div class=\"ip-table-wrap\">\n<table>\n<thead>\n<tr>\n<th>Title<\/th>\n<th>Conference<\/th>\n<th>Date<\/th>\n<th>Link<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Characterizing driver drowsiness in automated driving: A machine learning analysis of naturalistic driving data<\/td>\n<td>RSS 2026<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Naples, Italy<\/span><\/td>\n<td>Jun 2026<\/td>\n<td class=\"ip-see\"><a href=\"https:\/\/www.rss2026.org\/\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Conference website\">\u2197<\/a><\/td>\n<\/tr>\n<tr>\n<td>Driver Distraction Analysis: A Big-Data Analytics Approach Using Naturalistic Driving Data<\/td>\n<td>Transportation Research Symposium 2025<!\u2013- [et_pb_br_holder] -\u2013><span class=\"ip-muted\">Rotterdam, Netherlands<\/span><\/td>\n<td>May 2025<\/td>\n<td class=\"ip-muted\">\u2013<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/section>\n<p><\/main><\/div>\n<\/div>\n<p>[\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"class_list":["post-893","page","type-page","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - 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