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X-WR-CALDESC:Events for TECoSA
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260305T150000
DTEND;TZID=Europe/Paris:20260305T160000
DTSTAMP:20260311T153658Z
CREATED:20260302T080632Z
LAST-MODIFIED:20260311T153658Z
UID:7964-1772722800-1772726400@www.tecosa.center.kth.se
SUMMARY:Online Talk: “AI in Complex Industrial Systems: From Digitalization to Autonomous Cyber‑Physical Environments”
DESCRIPTION:Abstract: Much of today’s industry is still only partially digitalized\, with fragmented data\, manual processes and legacy systems never designed for analytics or autonomy. Yet pressures around energy use\, resilience and sustainability are increasing rapidly and AI and advanced digital technologies are key to meeting these new challenges.\nIn this talk Stella Riad will show how AI can create value even in imperfect\, analog‑heavy environments\, and how research in modelling\, digital twins\, automation and emerging cyber‑physical systems can bridge the gap toward more autonomous and resilient industrial ecosystems. The talk outlines where we are today\, what remains difficult\, and which technical\, organizational and human capabilities we need in the future. \nBio: Stella Riad is Head of the Industrial Systems Department at RISE. She holds a PhD in theoretical particle physics from KTH Royal Institute of Technology and has a background in applied research and technology leadership in the MedTech industry. At RISE\, Stella leads research and innovation in AI and advanced data analytics\, with a strong focus on industrial systems. \nPresentation TECoSA seminar 260305 \n 
URL:https://www.tecosa.center.kth.se/event/online-talk-ai-in-complex-industrial-systems-from-digitalization-to-autonomous-cyber-physical-environments/
CATEGORIES:Talks
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260313T120000
DTEND;TZID=Europe/Paris:20260313T130000
DTSTAMP:20260206T134810Z
CREATED:20260206T134810Z
LAST-MODIFIED:20260206T134810Z
UID:7942-1773403200-1773406800@www.tecosa.center.kth.se
SUMMARY:TECoSA internal research seminar - From Unified Cyber and Adversarial Defense to Efficient Collaborative Perception for Safe Intelligent Autonomous Driving
DESCRIPTION:Registration here: https://www.kth.se/form/69847724a336ea0c04b29934 \nBy Manzoor Hussain\, Postdoctoral Fellow at KTH \nAbstract \nIntelligent autonomous driving systems rely on deep learning–based perception and tightly coupled cyber-physical infrastructures\, where low latency\, reliability\, and efficiency are critical for safety. This talk explores unified and collaborative approaches to enhance the robustness and safety of such systems. \nWe first present a unified transformer-based framework that simultaneously detects adversarial attacks on perception systems and cyber-attacks on in-vehicle networks\, addressing the limitations of deploying separate defense models and reducing computational overhead. Through this unified design\, security monitoring is achieved using a single processing pipeline\, improving robustness and efficiency in safety-critical environments. \nBuilding on this foundation\, we then discuss ongoing work on efficient collaborative perception\, where vehicles and infrastructure share sensory information to extend situational awareness beyond local sensing. While motivated by autonomous driving\, the challenges addressed including distributed intelligence\, low-latency processing\, and resource-efficient computation are fundamental to a broader class of edge-enabled AI systems. We conclude by reflecting on how unified security and collaborative perception frameworks can inform the design of future trustworthy and scalable intelligent systems operating at the edge. \n  \nBio: Manzoor Hussain is a Postdoctoral Fellow at KTH Royal Institute of Technology\, working within the TECoSA research center. He received his Ph.D. in Computer Science from Chungbuk National University\, Republic of Korea\, with a thesis titled “A Robust Unified Transformer for Security Resilience in Intelligent Systems.” His research interests include the cyber-security of intelligent systems\, AI safety and security\, and collaborative perception systems. During his doctoral studies\, he worked as a Graduate Research Assistant in the Software Intelligence Engineering Laboratory and completed different National Research Foundation (NRF) funded projects focusing on collaborative cyber-physical systems safety in the autonomous driving domain.
URL:https://www.tecosa.center.kth.se/event/tecosa-internal-research-seminar-from-unified-cyber-and-adversarial-defense-to-efficient-collaborative-perception-for-safe-intelligent-autonomous-driving/
CATEGORIES:Seminar
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DTSTART;TZID=Europe/Paris:20260324T130000
DTEND;TZID=Europe/Paris:20260324T170000
DTSTAMP:20260305T081718Z
CREATED:20260305T081601Z
LAST-MODIFIED:20260305T081718Z
UID:7975-1774357200-1774371600@www.tecosa.center.kth.se
SUMMARY:TECoSA indoor testbed workshop for partners
DESCRIPTION:Agenda: Overview of the TECoSA indoor testbed (software defined radio\, HW&SW\, monitoring\, synchronization\, OpenAirInterface\, testbed configuration) and practical hands-on exercises \nVenue: KTH campus\, contact James Gross (jamesgr@kth.se) if you are interested to participate and have not received an invite. \nContact:  James Gross\, KTH
URL:https://www.tecosa.center.kth.se/event/tecosa-indoor-testbed-workshop-for-partners/
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260326T080000
DTEND;TZID=Europe/Paris:20260326T170000
DTSTAMP:20260317T093411Z
CREATED:20260317T093411Z
LAST-MODIFIED:20260317T093411Z
UID:7993-1774512000-1774544400@www.tecosa.center.kth.se
SUMMARY:TECoSA partner meeting hosted by Traton.
DESCRIPTION:On March 26 – TECoSA will arrange a partner meeting hosted by new partner Traton.
URL:https://www.tecosa.center.kth.se/event/tecosa-partner-meeting-hosted-by-traton/
CATEGORIES:Management meetings
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