BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Lisbon BEGIN:DAYLIGHT DTSTART:20250330T020000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:WEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20251026T010000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:WET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250517T215104Z UID:ADA7F031-E486-4AD4-814E-3052592E66D3 DTSTART;TZID=Europe/Lisbon:20250512T153000 DTEND;TZID=Europe/Lisbon:20250512T163000 DESCRIPTION:We are pleased to invite you to a Distinguished Lecture by Prof . Dr. Justin Dauwels\, IEEE SPS Distinguished Lecturer 2024\, organized by the IEEE SPS Student Branch Chapter of Leiria and the IEEE SPS Portugal C hapter in collaboration with the IEEE Portugal Section\, the Portuguese Ch apters of VTS and ComSoc\, the Seatle Section Joint Chapter\n\nCOM19/VT06/ BT02/IT12/ITS38 and Politécnico de Leiria School of Technology and Manage ment (ESTG).\n\nSummary of the talk:\n\nOne of the main challenges in auto nomous driving is the occurrence of errors in perception systems. These er rors represent significant risk factors that compromise the safety of both occupants and road users. These problems are exacerbated in systems based solely on cameras\, while they are more manageable in configurations that integrate sensors such as LiDAR and radar. In this lecture\, promoted by the IEEE Signal Processing Society (SPS) Portugal Chapter and organized by the IEEE SPS Student Branch Chapter\, the aim is to analyze the effects o f these errors on the behavior of autonomous vehicles\, how they can be mo deled and simulated in virtual environments\, and their consideration in s afety assessment processes.\n\n---\n\nJustin Dauwels (SM) is an Associate Professor at the TU Delft (Circuits and Systems\, Department of Microelect ronics). He was an Associate Professor of the School of Electrical and Ele ctronic Engineering at the Nanyang Technological University (NTU) in Singa pore till the end of 2020. He was the Deputy Director of the ST Engineerin g – NTU corporate lab. Dr. Dauwels obtained his PhD degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Z urich in December 2005.\n\nDr. Dauwels was a postdoctoral Fellow at the RI KEN Brain Science Institute (2006-2007)\, a research scientist at the Mass achusetts Institute of Technology (2008-2010)\, a JSPS postdoctoral Fellow (2007)\, a BAEF Fellow (2008)\, a Henri-Benedictus Fellow of the King Bau douin Foundation (2008)\, and a JSPS invited Fellow (2010\, 2011).\n\nDr. Dauwels served as Chairman\, IEEE CIS Chapter in Singapore (2018 to 2020)\ ; Associate Editor\, IEEE Transactions on Signal Processing (2018-2023)\; Associate Editor\, Elsevier journal Signal Processing (since 2021)\; membe r\, Editorial Advisory Board of the International Journal of Neural System s (since 2020)\, and organizer\, IEEE conferences and special sessions. He is also Elected Member of the IEEE Signal Processing Theory and Methods T echnical Committee and IEEE Biomedical Signal Processing Technical Committ ee\, both since 2018.\n\nDr. Dauwels’ research on intelligent transporta tion systems has been featured by the BBC\, Straits Times\, Lianhe Zaobao\ , Channel 5\, and numerous technology websites. Besides his academic effor ts\, the team of Dr. Justin Dauwels also collaborates intensely with local start-ups\, SMEs\, and agencies\, in addition to MNCs\, in the field of d ata-driven transportation\, logistics\, and medical data analytics.\n\nDr. Dauwels’ research interests are in data analytics with applications to intelligent transportation systems\, autonomous systems\, and analysis of human behaviour and physiology.\n\n#IEEE #SignalProcessing #SPS #Distingui shedLecture #Research #Leiria #HybridEvent #Engineering\n\nCo-sponsored by : ESTG - Politécnico de Leiria\n\nSpeaker(s): Justin Dauwels\, \n\nLeiria \, Centro\, Portugal\, Virtual: https://events.vtools.ieee.org/m/484403 LOCATION:Leiria\, Centro\, Portugal\, Virtual: https://events.vtools.ieee.o rg/m/484403 ORGANIZER:ch.sp@ieee-pt.org SEQUENCE:35 SUMMARY:Distinguished Lecture - Perception Error Modeling for Autonomous Dr iving - Prof. Justin Dauwels (Delt Univ. of Technology\, The Netherlands) URL;VALUE=URI:https://events.vtools.ieee.org/m/484403 X-ALT-DESC:Description: <br /><p style="margin: 0cm\;">We are pleased to in vite you to a&nbsp\;<strong>Distinguished Lecture</strong>&nbsp\;by&nbsp\; <strong>Prof. Dr. Justin Dauwels</strong>\, IEEE SPS Distinguished Lecture r 2024\, organized by the IEEE SPS Student Branch Chapter of Leiria and th e IEEE SPS Portugal Chapter in collaboration with the IEEE Portugal Sectio n\, the Portuguese Chapters of VTS and ComSoc\, the Seatle Section Joint C hapter</p>\n<p style="margin: 0cm\;">COM19/VT06/BT02/IT12/ITS38&nbsp\;and Polit&eacute\;cnico de Leiria School of Technology and Management (ESTG).< /p>\n<p style="margin: 0cm\;">&nbsp\;</p>\n<p style="margin: 0cm\;"><stron g>Summary of the talk:</strong></p>\n<p style="margin: 0cm\;">&nbsp\;</p>\ n<p style="margin: 0cm\;">One of the main challenges in autonomous driving is the occurrence of errors in perception systems. These errors represent significant risk factors that compromise the safety of both occupants and road users. These problems are exacerbated in systems based solely on cam eras\, while they are more manageable in configurations that integrate sen sors such as LiDAR and radar. In this lecture\, promoted by the IEEE Signa l Processing Society (SPS) Portugal Chapter and organized by the IEEE SPS Student Branch Chapter\, the aim is to analyze the effects of these errors on the behavior of autonomous vehicles\, how they can be modeled and simu lated in virtual environments\, and their consideration in safety assessme nt processes.</p>\n<p style="margin: 0cm\;">&nbsp\;</p>\n<p style="margin: 0cm\;">---</p>\n<p style="margin: 0cm\;">&nbsp\;</p>\n<p><strong>Justin D auwels (SM)</strong> is an Associate Professor at the TU Delft (Circuits a nd Systems\, Department of Microelectronics). He was an Associate Professo r of the School of Electrical and Electronic Engineering at the Nanyang Te chnological University (NTU) in Singapore till the end of 2020. He was the Deputy Director of the ST Engineering &ndash\; NTU corporate lab. Dr. Dau wels obtained his PhD degree in electrical engineering at the Swiss Polyte chnical Institute of Technology (ETH) in Zurich in December 2005.</p>\n<p> Dr. Dauwels was a postdoctoral Fellow at the RIKEN Brain Science Institute (2006-2007)\, a research scientist at the Massachusetts Institute of Tech nology (2008-2010)\, a JSPS postdoctoral Fellow (2007)\, a BAEF Fellow (20 08)\, a Henri-Benedictus Fellow of the King Baudouin Foundation (2008)\, a nd a JSPS invited Fellow (2010\, 2011).</p>\n<p>Dr. Dauwels served as Chai rman\, IEEE CIS Chapter in Singapore (2018 to 2020)\; Associate Editor\, I EEE Transactions on Signal Processing (2018-2023)\; Associate Editor\, Els evier journal Signal Processing (since 2021)\; member\, Editorial Advisory Board of the International Journal of Neural Systems (since 2020)\, and o rganizer\, IEEE conferences and special sessions. He is also Elected Membe r of the IEEE Signal Processing Theory and Methods Technical Committee and IEEE Biomedical Signal Processing Technical Committee\, both since 2018.< /p>\n<p>Dr. Dauwels&rsquo\; research on intelligent transportation systems has been featured by the BBC\, Straits Times\, Lianhe Zaobao\, Channel 5\ , and numerous technology websites. Besides his academic efforts\, the tea m of Dr. Justin Dauwels also collaborates intensely with local start-ups\, SMEs\, and agencies\, in addition to MNCs\, in the field of data-driven t ransportation\, logistics\, and medical data analytics.</p>\n<p>Dr. Dauwel s&rsquo\; research interests are in data analytics with applications to in telligent transportation systems\, autonomous systems\, and analysis of hu man behaviour and physiology.</p>\n<h1 style="margin: 0cm\;"><span style=" font-size: 11.0pt\; mso-fareast-font-family: 'Times New Roman'\;">&nbsp\;< /span><span style="font-size: 11.0pt\; mso-fareast-font-family: 'Times New Roman'\;">#IEEE #SignalProcessing #SPS #DistinguishedLecture #Research #L eiria #HybridEvent #Engineering</span></h1>\n<p>&nbsp\;</p>\n<p><span styl e="font-size: 11.0pt\; mso-fareast-font-family: 'Times New Roman'\;"><span style="font-size: 11.0pt\; font-family: 'Calibri'\,sans-serif\; mso-farea st-font-family: 'Times New Roman'\; mso-ansi-language: PT\; mso-fareast-la nguage: PT\; mso-bidi-language: AR-SA\;"><img id="_x0000_i1025" style="dis play: block\; margin-left: auto\; margin-right: auto\;" src="https://enoti ce.vtools.ieee.org/vtools_ui/media/display/d6a01a3a-5463-40b5-b838-40b7cd8 849eb" width="521" height="651"></span></span></p> END:VEVENT END:VCALENDAR