BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Stockholm BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260810T101904Z UID:3A7B065B-43C8-4FE4-BC36-273B0F21394E DTSTART;TZID=Europe/Stockholm:20260811T000000 DTEND;TZID=Europe/Stockholm:20260811T130000 DESCRIPTION:AI is entering an era in which intelligent systems will increas ingly perceive\, reason\, decide\, and act in the physical and digital wor lds. From autonomous vehicles and intelligent infrastructure to cybersecur ity and next-generation Internet of Things\, the question is no longer sim ply whether AI can be made more capable\, but whether it can be trusted wi th consequential decisions. Today’s predominantly data-driven AI systems remain limited by fundamental challenges in explainability\, robustness\, security\, verifiability\, accountability\, and alignment with human valu es.\n\nThis distinguished lecture will present a vision for neuro-symbolic AI as a foundation for the next generation of trustworthy intelligent sys tems. By integrating the adaptive learning and perceptual capabilities of neural networks with the structured knowledge\, logical reasoning\, causal understanding\, and formal guarantees of symbolic AI\, neuro-symbolic sys tems can move beyond the limitations of purely statistical intelligence.\n \nThe talk will explore how this paradigm can enable AI systems that not o nly learn from data\, but also understand context\, reason about consequen ces\, explain their decisions\, detect contradictions\, resist adversarial manipulation\, and operate within explicit safety and ethical constraints . Drawing on examples from trustworthy AI\, cybersecurity\, autonomous sys tems\, IoT\, and cyber-physical systems\, the lecture will examine both tr ansformative opportunities and grand challenges. Ultimately\, it will adva nce a vision of AI that is not merely powerful\, but verifiably trustworth y—intelligent systems designed to earn\, sustain\, and deserve human tru st.\n\nSpeaker: Houbing Herbert Song\, IEEE Fellow & Co-EiC of IEEE TII\n\ nShort Bio: Houbing Herbert Song is a Tenured Full Professor and Director of the Security and Optimization for Networked Globe (SONG) Laboratory at the University of Maryland\, Baltimore County (UMBC). He received his Ph.D . in Electrical Engineering from the University of Virginia in 2012 and is an elected member of the European Academy of Engineering (EAE)\, an IEEE Fellow and ACM Distinguished Member.\n\nHis research focuses on neuro-symb olic AI\, trustworthy artificial intelligence\, anomaly detection\, Artifi cial Intelligence of Things (AIoT)\, autonomous systems\, and cyber-physic al systems. His work has been widely supported by NSF\, NASA\, USDOT\, and FAA\, and has been featured in major media outlets including IEEE Spectru m and U.S. News & World Report.\n\nDr. Song serves as Co-Editor-in-Chief o f IEEE Transactions on Industrial Informatics\, Area Editor of IEEE Intern et of Things Journal\, and holds leadership roles in multiple IEEE and ACM initiatives\, including founding the ACM EIGTRUST and IEEE TRUST-IoT Work ing Group. He has also served as general chair and technical program chair for numerous flagship international conferences.\n\nHe is an ACM Distingu ished Speaker\, IEEE Computer Society Distinguished Visitor\, and IEEE Dis tinguished Lecturer across multiple societies. His honors include the IEEE Harry Rowe Mimno Award\, Research.com Rising Star of Science Award\, mult iple best paper awards\, and recognition as a Highly Cited Researcher.\n\n Date and time: 13:00-14:00 on 11th of August\, 2026\nRoom: A301\nCampus: P rinsens gate 7-9\, 0107 Oslo\; Kristiania University of Applied Sciences\n Zoom link:\nhttps://kristiania.zoom.us/j/62714368254?pwd=mpHsbJHZALiCRjjak NAxz7E2t6Ipvo.1&from=addon\nMeeting ID: 627 1436 8254\nPasscode: 145607\n\ nOslo\, Oslo\, Norway LOCATION:Oslo\, Oslo\, Norway ORGANIZER:Andrii.Shalaginov@kristiania.no SEQUENCE:8 SUMMARY:Enabling Trustworthy Systems through Neuro-symbolic AI URL;VALUE=URI:https://events.vtools.ieee.org/m/572009 X-ALT-DESC:Description: <br /><div>\n<p>AI is entering an era in which inte lligent systems will increasingly perceive\, reason\, decide\, and act in the physical and digital worlds. From autonomous vehicles and intelligent infrastructure to cybersecurity and next-generation Internet of Things\, t he question is no longer simply whether AI can be made more capable\, but whether it can be trusted with consequential decisions. Today&rsquo\;s pre dominantly data-driven AI systems remain limited by fundamental challenges in explainability\, robustness\, security\, verifiability\, accountabilit y\, and alignment with human values.</p>\n<p>This distinguished lecture wi ll present a vision for neuro-symbolic AI as a foundation for the next gen eration of trustworthy intelligent systems. By integrating the adaptive le arning and perceptual capabilities of neural networks with the structured knowledge\, logical reasoning\, causal understanding\, and formal guarante es of symbolic AI\, neuro-symbolic systems can move beyond the limitations of purely statistical intelligence.</p>\n<p>The talk will explore how thi s paradigm can enable AI systems that not only learn from data\, but also understand context\, reason about consequences\, explain their decisions\, detect contradictions\, resist adversarial manipulation\, and operate wit hin explicit safety and ethical constraints. Drawing on examples from trus tworthy AI\, cybersecurity\, autonomous systems\, IoT\, and cyber-physical systems\, the lecture will examine both transformative opportunities and grand challenges. Ultimately\, it will advance a vision of AI that is not merely powerful\, but verifiably trustworthy&mdash\;intelligent systems de signed to earn\, sustain\, and deserve human trust.</p>\n<p><strong><u>Spe aker</u></strong>: Houbing Herbert Song\, IEEE Fellow &amp\; Co-EiC of IEE E TII</p>\n<p><strong><u>Short Bio</u></strong>: Houbing Herbert Song is a Tenured Full Professor and Director of the Security and Optimization for Networked Globe (SONG) Laboratory at the University of Maryland\, Baltimor e County (UMBC). He received his Ph.D. in Electrical Engineering from the University of Virginia in 2012 and is an elected member of the European Ac ademy of Engineering (EAE)\, an IEEE Fellow and ACM Distinguished Member.< /p>\n<p>His research focuses on neuro-symbolic AI\, trustworthy artificial intelligence\, anomaly detection\, Artificial Intelligence of Things (AIo T)\, autonomous systems\, and cyber-physical systems. His work has been wi dely supported by NSF\, NASA\, USDOT\, and FAA\, and has been featured in major media outlets including IEEE Spectrum and U.S. News &amp\; World Rep ort.</p>\n<p>Dr. Song serves as Co-Editor-in-Chief of IEEE Transactions on Industrial Informatics\, Area Editor of IEEE Internet of Things Journal\, and holds leadership roles in multiple IEEE and ACM initiatives\, includi ng founding the ACM EIGTRUST and IEEE TRUST-IoT Working Group. He has also served as general chair and technical program chair for numerous flagship international conferences.</p>\n<p>He is an ACM Distinguished Speaker\, I EEE Computer Society Distinguished Visitor\, and IEEE Distinguished Lectur er across multiple societies. His honors include the IEEE Harry Rowe Mimno Award\, Research.com Rising Star of Science Award\, multiple best paper a wards\, and recognition as a Highly Cited Researcher.</p>\n<p>&nbsp\;</p>\ n<div><strong data-olk-copy-source="MessageBody">Date and time: </strong>1 3:00-14:00 on 11th of August\, 2026</div>\n<div><strong>Room:</strong> A30 1</div>\n<div><strong>Campus:</strong> &nbsp\;Prinsens gate 7-9\, 0107 Osl o\; Kristiania University of Applied Sciences&nbsp\;</div>\n<div><strong>Z oom link:</strong></div>\n<div><a class="ms-outlook-linkify" title="https: //kristiania.zoom.us/j/62714368254?pwd=mpHsbJHZALiCRjjakNAxz7E2t6Ipvo.1&am p\;from=addon" href="https://kristiania.zoom.us/j/62714368254?pwd=mpHsbJHZ ALiCRjjakNAxz7E2t6Ipvo.1&amp\;from=addon" target="_blank" rel="noopener" d ata-linkindex="0">https://kristiania.zoom.us/j/62714368254?pwd=mpHsbJHZALi CRjjakNAxz7E2t6Ipvo.1&amp\;from=addon</a></div>\n<div>Meeting ID: 627 1436 8254</div>\n<div>Passcode: 145607</div>\n</div>\n<div>\n<div dir="ltr">\n <div dir="ltr">\n<p>&nbsp\;</p>\n</div>\n</div>\n</div> END:VEVENT END:VCALENDAR