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X-WR-CALDESC:Events for TECoSA
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260409T150000
DTEND;TZID=Europe/Paris:20260409T160000
DTSTAMP:20260503T201648
CREATED:20260317T091527Z
LAST-MODIFIED:20260318T104040Z
UID:7989-1775746800-1775750400@www.tecosa.center.kth.se
SUMMARY:TECoSA seminar - The Road to Trustworthy ML: From Security and Privacy to Verifiability
DESCRIPTION:Abstract: \nIn this talk\, Buse Atli will present the evolving landscape of security and privacy in machine learning (ML)\, drawing on insights from my own research and experiences in both academic work and real-world applications. She will describe the ongoing arms race between attacks and defenses in ML systems and discuss what these dynamics reveal about trust\, governance\, and accountability in ML. Finally\, she will argue that verifiability is one of the most critical yet still unresolved aspects of achieving trustworthy ML\, particularly in light of legal frameworks such as the EU AI Act. \nBio: Buse Atli is an Assistant Professor in the Cybersecurity Division at Linköping University. Previously\, she was a security researcher at Nokia Bell Labs\, developing threat modeling strategies for security and privacy in AI-enabled network systems. She received her PhD from Aalto University in Finland. Her research focuses on trustworthy machine learning\, including robustness\, data privacy\, model confidentiality\, verifiability\, and AI governance. \nZoom-link for the seminars is : https://kth-se.zoom.us/j/66857695267
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-the-road-to-trustworthy-ml-from-security-and-privacy-to-verifiability/
CATEGORIES:Seminar,Talks
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260326T080000
DTEND;TZID=Europe/Paris:20260326T170000
DTSTAMP:20260503T201648
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260324T130000
DTEND;TZID=Europe/Paris:20260324T170000
DTSTAMP:20260503T201648
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260313T120000
DTEND;TZID=Europe/Paris:20260313T130000
DTSTAMP:20260503T201648
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260305T150000
DTEND;TZID=Europe/Paris:20260305T160000
DTSTAMP:20260503T201648
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260210T090000
DTEND;TZID=Europe/Paris:20260210T163000
DTSTAMP:20260503T201648
CREATED:20260121T122440Z
LAST-MODIFIED:20260121T122440Z
UID:7930-1770714000-1770741000@www.tecosa.center.kth.se
SUMMARY:Trustworthiness assurance project workshop at KTH focusing on continuous assurance
DESCRIPTION:The project workshop is taking place on:\nFeb 10\, 2026\nTime:  09.00-16.30\nVenue: KTH\, Brinellvägen 85\nContact: Marcus Nolte
URL:https://www.tecosa.center.kth.se/event/trustworthiness-assurance-project-workshop-at-kth-focusing-on-continuous-assurance/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260206T093000
DTEND;TZID=Europe/Paris:20260206T123000
DTSTAMP:20260503T201648
CREATED:20260120T122502Z
LAST-MODIFIED:20260120T122502Z
UID:7928-1770370200-1770381000@www.tecosa.center.kth.se
SUMMARY:Welcome to the dissertation by Ahmad Ishtar Terra\, KTH\, division of Mechatronics and industrial PhD student with Ericsson research
DESCRIPTION:Key people \nCandidate: Ahmad Terra (industrial PhD student KTH and Ericsson)\nOpponent: Professor Kary Främling (Umeå University) \nGrading committee:\nAssociate Professor Sepideh Pashami\, (Halmstad University/RISE)\nProfessor Kerstin Bach (NTNU)\nProfessor Fredrik Heintz (LIU) \nSpare committee member: Associate Professor Hossein Azizpour\nKTH Dissertation chair: Associate Professor Martin Grimheden\, head of Department\nSupervisors: Martin Törngren and Rafia Inam\, KTH \nVenue: KTH – F3 (Flodis)\, Lindstedtsvägen 26 & 28\, Stockholm\nJoin by link: https://kth-se.zoom.us/j/63010540491
URL:https://www.tecosa.center.kth.se/event/welcome-to-the-dissertation-by-ahmad-ishtar-terra-kth-division-of-mechatronics-and-industrial-phd-student-with-ericsson-research/
CATEGORIES:PhD defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260130T120000
DTEND;TZID=Europe/Paris:20260130T130000
DTSTAMP:20260503T201648
CREATED:20251211T123844Z
LAST-MODIFIED:20251218T091328Z
UID:7890-1769774400-1769778000@www.tecosa.center.kth.se
SUMMARY:TECoSA Internal research seminar
DESCRIPTION:Welcome to register to the internal research seminar arranged by TECoSA. \nRegistration on https://www.kth.se/form/693aa32443ad1c59a841ff9a \nWe kindly ask you to submit your registration by latest on 22nd Jan 2026. \nThe seminar is held at the NSE seminar room (TR33\, floor 3).
URL:https://www.tecosa.center.kth.se/event/tecosa-internal-research-seminar/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260116T100000
DTEND;TZID=Europe/Paris:20260116T120000
DTSTAMP:20260503T201648
CREATED:20260113T140002Z
LAST-MODIFIED:20260113T140440Z
UID:7920-1768557600-1768564800@www.tecosa.center.kth.se
SUMMARY:PhD Defence – Vishnu Moothedath
DESCRIPTION:Welcome to the PhD defence of Vishnu Moothedath\nTitle: Towards Efficient Distributed Intelligence: Cost-Aware Sensing and Offloading for Inference at the Edge \nLink to the thesis: https://kth.diva-portal.org/smash/record.jsf?pid=diva2%3A2017058&dswid=8369 \nRespondent: Vishnu Moothdath\nOpponent: Professor Ayalvadi Ganesh\, University of Bristol\, Bristol\, United Kingdom\nCommittee:\nResearch Leader Dr. Beatriz Grafulla (Ericsson\, Kista)\nAssociate Professor Praveen Kumar Donta (Stockholm University)\nAssociate Professor Salman Toor (Uppsala University\nStand-In member: Professor Rolf Stadler (KTH\, Stockholm\, Sweden) \nChair: Mikael Skolgund (KTH) \nSupervisors: James Gross\, György Dan \nLocation (Hybrid meeting): Salongen\, Osquars backe 31\, KTH Campus; and\nhttps://kth-se.zoom.us/j/61617488895
URL:https://www.tecosa.center.kth.se/event/phd-defence-vishnu-moothedath/
CATEGORIES:PhD defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251203T150000
DTEND;TZID=UTC:20251203T160000
DTSTAMP:20260503T201648
CREATED:20251020T081626Z
LAST-MODIFIED:20251211T123550Z
UID:7829-1764774000-1764777600@www.tecosa.center.kth.se
SUMMARY:Seminar: Overview MASTT2040 & Roadmap and Industry Action Plan for Manufacturing-as-a-Service
DESCRIPTION:The talk will give an overview of the work performed in MASTT2040 and introduce the Roadmap and Industry Action Plan for Manufacturing-as-a-Service supporting the twin transition up to 2040. This will highlight that Manufacturing-as-a-Service business models offer advantages with respect to resilience of supply chains and that circular manufacturing approaches offer a means of addressing critical raw materials shortages which fits well with respect to the next framework programme’s Competitiveness Compass and EC Defence goals. \nThe seminar is held by Professor Haydn Thompson\, BSc\, PhD\, who has over 35 years’ experience working in a mixture of senior industrial research and development roles in flight control systems\, space programmes and signal processing applications for leading companies. For nearly 20 years Professor Thompson he was the Programme Manager of the Rolls-Royce Control and Systems University Technology Centre addressing research and innovation. Currently he is Managing Director and Owner of the THHINK group of companies\, as well as being Managing Director and Owner of Haydn Consulting Ltd. He is recognised and used by the European Commission as an expert in many fields and is a consultant to a range of companies and government bodies. \nJoin the seminar via this link. \nMore information of the seminar and the speaker. Roadmap and Industry Action Plan for Future Manufacturing \nNOTE! The seminar time is 15-16 o’clock. If you experience the time appearing at 16-17 o’clock instead of 15-16 o’clock once you’ve exported the event to our calendar\, please notice that is incorrect..
URL:https://www.tecosa.center.kth.se/event/postdocs-in-trustworthy-edge-computing-systems-and-applications/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20251128T120000
DTEND;TZID=Europe/Paris:20251128T130000
DTSTAMP:20260503T201648
CREATED:20251211T123213Z
LAST-MODIFIED:20251211T123353Z
UID:7886-1764331200-1764334800@www.tecosa.center.kth.se
SUMMARY:Seminar: Gaming on the Edge: A Performance Framework towards Edge-AI
DESCRIPTION:Welcome to the second TECoSA internal seminar this fall! \nThe purpose of this seminar series is to keep each other informed about ongoing work at the partners and to have technical discussions. The plan is that the TECoSA postdocs will present at the first four seminars. \nAbstract: Edge computing is revolutionizing gaming and streaming services by processing data closer to the user\, which greatly reduces latency and enhances bandwidth efficiency. This talk delves into the integration of edge computing with online gaming\, focusing on the Gaming as a Service (GaaS) paradigm. Through an analytical model we show that edge-based gaming architectures can outperform traditional cloud gaming solutions in terms of response times. While developed in the context of gaming\, this performance model offers insights that may extend to a broader class of applications. The underlying challenges of distributed processing\, low latency\, and high-performance computation are not unique to gaming but they are also central to emerging Edge-AI systems\, where machine learning applications meet edge infrastructures. We will reflect on the parallels and distinctions between these domains and consider how such frameworks might inform future analyses of AI applications operating on distributed infrastructures. \nSpeaker: Diletta Olliaro\, KTH\, TECoSA Postdoc \nBio: Diletta Olliaro is a Postdoctoral Fellow at KTH Royal Institute of Technology\, working within the TECoSA research center. She received her PhD in Computer Science from Ca’ Foscari University of Venice in March 2025\, with a thesis titled  “Models for Throughput Maximisation in Distributed Systems”. Her research interests include queueing theory\, product-form models\, and the stochastic modelling of computer and communication networks\, with a focus on performance and reliability evaluation. During her doctoral studies\, she had the opportunity to work as a visiting PhD student at IMDEA Networks Institute\, PUC-Rio\, and Imperial College London. \n 
URL:https://www.tecosa.center.kth.se/event/seminar-gaming-on-the-edge-a-performance-framework-towards-edge-ai/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251120T120000
DTEND;TZID=UTC:20251120T170000
DTSTAMP:20260503T201648
CREATED:20251013T060457Z
LAST-MODIFIED:20251013T060807Z
UID:7822-1763640000-1763658000@www.tecosa.center.kth.se
SUMMARY:Seminar: Preventing Crime in Hyperspaces
DESCRIPTION:We begin by introducing the concept of hyperspaces and examining the\nunique cybersecurity risks that arise from the interaction between online and\nphysical environments. In this second seminar\, we focus on integrating the\nconcepts of hyperspace into urban planning and policy-making. Speakers will\ndiscuss attacks on transportation systems and reflect on research and\ngovernment preparedness for navigating these challenges\, which are crucial\nfor defining actionable recommendations for policymakers and urban\nplanners. By understanding hyperspace as a multifaceted environment where\ndigital and physical systems interact\, we can better grasp the vulnerabilities\ncities may face. \nPROGRAM\n12:00 – 13:00 Mingle\n13:00 Introduction – Prof Vania Ceccato\, UCS/KTH \nSPEAKERS\nProfessor Gisela Bichler\, California State University\n– Conceptualizing crime in Hyperspace: The Digital–Physical Dimension of Social and Technical Systems\nScott Belcher\, SFB Consulting / ACES Mobility Coalition\n– Cybersecurity in Public Transportation: North American Examples of Risk\, Preparedness\, Resilience\, and Broader Applications\nProfessor Martin Törngren\, KTH Royal Institute of Technology\n– From connectivity and smartness to trustworthy hyperspaces\nDavid Olgart\, KTH Royal Institute of Technology\n– Cybercampus Sweden: Strengthening Sweden’s Cyber Resilience \nRegister here \nLocation: Royal Institute of Technology\, KTH\, Teknikringen 78A\, room W38 and Zoom (link to be announced). \nOrganised by Safeplaces Network/Digital Futures.
URL:https://www.tecosa.center.kth.se/event/seminar-preventing-crime-in-hyperspaces/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251106T150000
DTEND;TZID=UTC:20251106T160000
DTSTAMP:20260503T201648
CREATED:20250430T075245Z
LAST-MODIFIED:20251211T123608Z
UID:7693-1762441200-1762444800@www.tecosa.center.kth.se
SUMMARY:Seminar: ARA Living Lab for Connecting the Unconnected
DESCRIPTION:We aim to bring you a TECoSA Seminar on the first Thursday of each month during term-time.  All are welcome to attend and we look forward to some lively discussions. Members can accept the Outlook invitations\, non-members can email tecosa-admin@kth.se to register. \nOur November seminar is with Hongwei Zhang\, Professor of Electrical and Computer Engineering and Director of the Center for Wireless\, Communities and Innovation (WiCI) at Iowa State University. The seminar will take place via Zoom\, through this link. \n \nAbstract: One grand societal challenge is how to provide affordable\, quality broadband connectivity to rural regions today while ensuring that rural broadband does not always lag behind urban broadband as technologies and services evolve. To address the challenge\, we need to nurture rural-focused broadband innovation and associated innovation communities. In this talk\, I will share the design principles\, hardware and software implementation\, as well as the enabled wireless and applications research of the ARA living lab. I will also discuss open challenges in developing and operating such living labs\, as well as the opportunities of leveraging rural industries (e.g.\, agriculture) for advancing the frontier of wireless systems such as Open RAN and 6G. \nBio: Hongwei Zhang is the Richardson Professor of Electrical and Computer Engineering and Director of the Center for Wireless\, Communities and Innovation (WiCI) at Iowa State University. His research investigates modeling\, algorithmic\, and systems issues in wireless sensing and control networks as well as their applications in connected and automated vehicles\, XR\, and cyber-physical-human systems in general. He has led the development of open-innovation infrastructures for precision agriculture\, connected and automated transportation\, cellular networks\, and IoT networks which have been used by researchers worldwide. His work has been recognized by best paper awards from the IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)\, IEEE International Conference on Network Softwarization (NetSoft)\, and ACM Workshop on Wireless Network Testbeds\, Experimental evaluation and CHaracterization (WiNTECH)\, IEEE Intelligent Transportation Systems Magazine\, and Journal of Systems Science and Complexity (Springer). More information about his work can be found from his website at http://www.ece.iastate.edu/~hongwei. \nSeminar slides: ARA Living Lab for Connecting the Unconnected \n 
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-ara-living-lab-for-connecting-the-unconnected/
CATEGORIES:Seminar,Talks,webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251031T120000
DTEND;TZID=UTC:20251031T130000
DTSTAMP:20260503T201648
CREATED:20251007T063409Z
LAST-MODIFIED:20251007T063703Z
UID:7799-1761912000-1761915600@www.tecosa.center.kth.se
SUMMARY:TECoSA internal research seminar - Leveraging Model-Based Systems Engineering for Trustworthiness Assurance of Autonomous Cyber Physical Systems
DESCRIPTION:Leveraging Model-Based Systems Engineering for Trustworthiness Assurance of Autonomous Cyber Physical Systems \n  \nModern cyber physical systems challenge traditional engineering methods: They need to operate autonomously in an open\, unpredictable world\, uncontrollable for engineers after deployment. In consequence\, system design shifts from a pure technical engineering task increasingly towards socio-technical aspects with needs to assure the fulfillment of conflicting stakeholder needs over the entire system lifecycle. \nThe frequent interaction with the real world requires a continuous validation of development assumptions\, and with that the need for constant updateability of system designs and implementation. All these aspects require traceability from stakeholder needs over design decisions to system architectures and\, for AI-based systems in particular\, data architectures and dataset design. \nThis talk discusses challenges\, ideas\, and chances how rigorous Model-Based Systems (and Enterprise) Engineering can establish traceability across the system lifecycle and hence complement trustworthiness assurance processes for modern cyber physical systems. \n  \nMarcus Nolte will present on the seminar. \nBefore joining KTH as a TECoSA PostDoc\, Marcus was a PostDoc at the Institute of Control Engineering at TU Braunschweig\, Germany\, where he also received his PhD in Systems and Safety Engineering for Automated Vehicles. He holds a M.Sc. in Electrical Engineering with a focus on Mechatronics and Control from TU Braunschweig. During his PostDoc in Germany\, he has worked on ethical aspects related to safety engineering for automated vehicles. His research has focused on domain-specific tailoring of Model-Based Systems and Safety Engineering methods\, and is currently expanding methodologies towards continuous trustworthiness assurance for AI-based systems. \n  \nLocation of the seminar: KTH Campus\, Teknikringen 33\, room 3312\, eecs_tr33_nse_seminar \nRegister to the seminar.
URL:https://www.tecosa.center.kth.se/event/tecosa-internal-research-seminar-leveraging-model-based-systems-engineering-for-trustworthiness-assurance-of-autonomous-cyber-physical-systems/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251015T090000
DTEND;TZID=UTC:20251015T130000
DTSTAMP:20260503T201648
CREATED:20251010T050747Z
LAST-MODIFIED:20251010T053846Z
UID:7807-1760518800-1760533200@www.tecosa.center.kth.se
SUMMARY:TECoSA Meeting
DESCRIPTION:The next TECoSA meeting will be hosted by Ericsson Research in Kista on October 15. All partners are warmly welcome to join. \nKey items on the agenda will include: \n\nTECoSA overall updates and highlights\nPresentations of the new TECoSA partners and new postdocs\nNew agile projects in TECoSA\nBreakout group sessions on the TECoSA projects and demos/PoCs\n\nPlease contact Martin Törngren (martint@kth.se) or Catrin Granbom (catrin.granbom@ericsson.com) as soon as possible to register.
URL:https://www.tecosa.center.kth.se/event/tecosa-meeting/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250912T100000
DTEND;TZID=UTC:20250912T180000
DTSTAMP:20260503T201648
CREATED:20250822T100118Z
LAST-MODIFIED:20250822T100118Z
UID:7754-1757671200-1757700000@www.tecosa.center.kth.se
SUMMARY:Digital Futures KTH 6G Summit
DESCRIPTION:On September 12\, 2025\, leading experts from academia\, industry\, and government will gather at KTH’s Albanova campus for the 6G Summit\, a full-day event focused on the future of next-generation networks. \nWhat to expect \n\nKeynote talks from top researchers and industry experts\nPanels on emerging 6G technologies and application requirements\nResearch showcases from KTH centers\nPoster sessions\, networking\, and industry-academic collaboration\n\nHighlights \n\nTalks by Stefan Parkvall (Ericsson)\, Gunes Karabulut-Kurt (Polytechnique Montreal)\, Petar Popovski (AAU)\, and Marie-Jose Montpetit (SLICES)\nEngaging panels on “What’s new in 6G” and “Application requirements”\nFood\, posters\, and networking throughout the day\n\nRead more about the event here. \nOrganized by the Digital Futures Working Group CooperateContact: György Dán – gyuri@kth.se  \nDirections to the venue
URL:https://www.tecosa.center.kth.se/event/digital-futures-kth-6g-summit/
CATEGORIES:Conference,Talks
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250909
DTEND;VALUE=DATE:20250914
DTSTAMP:20260503T201648
CREATED:20250908T091331Z
LAST-MODIFIED:20250908T091544Z
UID:7766-1757376000-1757807999@www.tecosa.center.kth.se
SUMMARY:Safecomp 2025
DESCRIPTION:Welcome to SafeComp 2025 in Stockholm!The 44th International Conference on Computer Safety\, Reliability and Security \n \nJoin us at SafeComp 2025\, the international forum for exchanging ideas\, insights and advances in safety\, security and reliability of critical computer applications. This year’s theme\, “Managing safety in an era of a software-defined computing continuum\,” invites researchers\, practitioners and industry leaders to explore the challenges and opportunities of increasingly autonomous\, interconnected and AI-driven systems. \nSince its founding in 1979 by EWICS TC7\, SafeComp has been at the forefront of advancing dependable computing for safety-critical systems. The 44th edition continues this tradition\, offering a single-track program that fosters meaningful discussions\, knowledge sharing\, and networking across disciplines. \nHosted by KTH Royal Institute of Technology\, SafeComp 2025 is closely aligned with the trustworthiness research focus of TECoSA. We are proud that Martin Törngren (TECoSA PI) and Fredrik Asplund (affiliated researcher) serve as General Chairs of the conference. \nLearn more about the conference program at safecomp2025.se. \nWe look forward to welcoming you to Stockholm this September to explore new frontiers of safety-critical computing systems!
URL:https://www.tecosa.center.kth.se/event/safecomp-2025/
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250908
DTEND;VALUE=DATE:20250912
DTSTAMP:20260503T201648
CREATED:20250523T080149Z
LAST-MODIFIED:20250523T080228Z
UID:7717-1757289600-1757635199@www.tecosa.center.kth.se
SUMMARY:DETERMINISTIC6G Summer School & Summit
DESCRIPTION:Join us at the DETERMINISTIC6G Summer School\, a three-day immersive learning experience at KTH Main Campus\, designed to showcase groundbreaking advances in deterministic and dependable 6G networks. This event is a unique opportunity to engage directly with researchers and industry experts who are pioneering the future of end-to-end time-critical communication. \nWhat to Expect: \n\nKeynotes by leading voices in 6G innovation\nDeep dive lectures on AI/ML\, TSC\, time synchronization\, and security architectures\nHands-on exercises using real network data\nInternational networking opportunities with peers and professionals\n\nHighlighted Lectures: \n\nDifferentiated Connectivity and Dependable Communication by Joachim Sachs\, Ericsson\nMachine Learning Architectures for KPI Prediction by Prof. James Gross\, KTH\n\nThe Summer School will be followed by a one-day Summit hosted at Ericsson in Kista on September 11\, featuring keynote speeches\, expert panels\, and poster sessions on deterministic 6G technologies. \nWho Should Attend? \n\nM.Sc. and PhD students\nAcademic and industry researchers with a background in mobile networking\nProfessionals eager to expand their knowledge in 6G and deterministic networks\n\nRegister soon! Only 50 onsite seats available.Follow this link for full agenda and summit registration. \n 
URL:https://www.tecosa.center.kth.se/event/deterministic6g-summer-school-summit/
CATEGORIES:Conference,Talks,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250901
DTEND;VALUE=DATE:20250905
DTSTAMP:20260503T201648
CREATED:20250923T140855Z
LAST-MODIFIED:20250923T140907Z
UID:7788-1756684800-1757030399@www.tecosa.center.kth.se
SUMMARY:Edge AI Summer School
DESCRIPTION:Two weeks ago\, we wrapped up the Summer School on Edge Artificial Intelligence (1–4 Sept 2025) at KTH Royal Institute of Technology\, Stockholm — an exciting four-day journey into the cutting edge of Edge AI\, co-organized by Prof. James Gross and Adarsh Behera. With over 50 participants and speakers from academia and industry across 20+ institutions\, the program featured keynotes\, research talks\, tutorials\, and vibrant discussions. We’re incredibly grateful to everyone who made this a success! \nA huge thank you to our speakers for their thought-provoking contributions: \n\n Eyal de Lara (University of Toronto) kicked things off with insights into edge system design — orchestration\, component boundaries\, and edge preprocessing to reduce latency\, bandwidth\, and improve privacy.\nJaya Prakash Champati (University of Victoria) introduced hierarchical inference for LLM routing and QoS-aware edge scheduling under dynamic workloads.\nHenning Schulzrinne (Columbia University) asked: “Edge AI – Always just beyond the horizon?” He brought a real-world lens to Edge AI in telecom and automotive.\nXiang Su (University of Helsinki) explored model/system heterogeneity in federated learning and the trade-offs of personalization vs. global efficiency.\nQi Zhang (Aarhus University) discussed semantic communication and how goal-oriented transmission can make Edge AI more context-aware and efficient.\nRoberto Morabito (EURECOM) gave a future-looking talk on TinyML and Generative AI at the Edge\, pushing the boundary of edge-to-device intelligence.\nRafia Inam (Ericsson/KTH Royal Institute of Technology) highlighted the role of Trustworthy & Explainable AI in telecom\, ongoing EU standardization\, and real-world XAI limitations.\nElla Peltonen (University of Oulu) showcased practical Edge AI use cases in the automotive sector — with insights into deployment and challenges.\n\nA big thank you to our sponsors: NordForsk\, Digital Futures\, TECoSA – Center for Trustworthy Edge Computing Systems and Applications\, and the Nordic University Cooperation on Edge Intelligence for their generous support. \nAnd of course\, a big thanks to all the participants — your energy\, curiosity\, and collaboration brought the event to life!
URL:https://www.tecosa.center.kth.se/event/edge-ai-summer-school/
CATEGORIES:Conference,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250618T100000
DTEND;TZID=UTC:20250618T110000
DTSTAMP:20260503T201648
CREATED:20250610T084829Z
LAST-MODIFIED:20250610T085839Z
UID:7742-1750240800-1750244400@www.tecosa.center.kth.se
SUMMARY:PhD Defense: “Situation Awareness for Autonomous Agents under Limited Sensing”
DESCRIPTION:TECoSA PhD student José Manuel Gaspar Sánchez  will defend his thesis at Kollegiesalen\, Brinellvägen 6\, KTH Campus.  Contact Martin Törngren (martint@kth.se) if you are interested in attending. Zoom link for the defense is found here. \nAbstract: Autonomous agents\, such as robots and automated vehicles\, rely on their ability to perceive and interpret their environment to make informed decisions and execute actions that align with their goals. A key aspect of this capability is situation awareness\, which involves understanding the current state of the environment and predicting its future evolution. Traditional autonomous systems address perception and prediction as separate tasks within a sequential pipeline\, where raw sensor data is processed into increasingly abstract representations. While this structured approach has driven significant advancements\, it remains constrained by sensor limitations\, including occlusions\, measurement uncertainty\, and adverse weather conditions. \nThis thesis investigates how predictions from past observations can enhance perception algorithms\, enabling agents to infer missing information\, reduce uncertainty\, and better anticipate changes. To support this integration\, alternative environment representations are explored that allow feedback between prediction and perception while capturing uncertainty. This tighter coupling improves decision-making\, particularly in complex and partially observable environments. \nThe contributions include: (1) a reachability-based reasoning framework for tracking possible hidden obstacles; (2) its extension to handle delayed and partial external data; (3) a probabilistic mapping method\, Transitional Grid Maps (TGM)\, that jointly models static and dynamic occupancy; and (4) an extension of TGM to mitigate weather-induced sensor noise. \nThe proposed methods are evaluated in simulated and real scenarios where traditional perception pipelines struggle\, such as occluded\, highly dynamic and noisy environments. By bridging the gap between perception and prediction\, this work contributes to the development of more robust and intelligent autonomous systems. \nDetails of the panel are shown below: \nSupervisor: Professor Martin Törngren\, KTH. \nOpponent: Professor Jonas Sjöberg\, Chalmers University of Technology.
URL:https://www.tecosa.center.kth.se/event/phd-defense-situation-awareness-for-autonomous-agents-under-limited-sensing/
CATEGORIES:PhD defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250610T140000
DTEND;TZID=UTC:20250610T150000
DTSTAMP:20260503T201648
CREATED:20250514T105248Z
LAST-MODIFIED:20250531T095953Z
UID:7704-1749564000-1749567600@www.tecosa.center.kth.se
SUMMARY:PhD Defense: “Joint Optimization of Pricing and Resource Allocation in Serverless Edge Computing: A Game-Theoretic Perspective”
DESCRIPTION:TECoSA PhD student Feridun Tütüncüoğlu will defend his thesis at F3\, KTH Campus. Contact György Dán (gyuri@kth.se) if you are interested in attending. \n \nAbstract: The rapid advancement of Internet of Things (IoT)\, Augmented Reality (AR)\, autonomous systems\, and intelligent automation is transforming daily lifeand revolutionizing industrial processes. These technologies demand significant computational resources while also imposing stringent latency requirements. A common approach to meet computational resource demand is leveraging Cloud Computing (CC)\, which offers scalable processing capabilities through centralized data centers. Nonetheless\, this centralized approach often fails to meet stringent latency requirements due to communication delays caused by the geographical distance between cloud servers and end users. This limitation has led to the emergence of the novel paradigm of Edge Computing (EC)\, which addresses the latency issue by placing compute units closer to end users. \nEC server clusters are expected to be smaller in scale and geographically more dispersed compared to CC data centers. This introduces new challenges\, including limited computational and storage capacity\, making efficient resource allocation crucial. Additionally\, the network operator managing edge infrastructure must maintain the financial sustainability under different workload characteristics and application requirements of users\, necessitating joint and adaptable resource management and pricing strategies. Function-as-a-Service (FaaS) offers a promising approach in this regard\, as its pay-as-you-go pricing model allows users to pay only for the resources they consume\, while also enabling dynamic resource management by shifting the entire responsibility of application deployment to the operator. However\, this flexibility also makes the choice of computation\, memory\, and bandwidth resources price-dependent\, further complicating resource management and pricing. \nIn the first part of the thesis\, we consider a setting where Wireless Devices (WDs) minimize energy and the monetary costs of computing tasks\, while the operator maximizes revenue by optimizing pricing and application caching under memory constraints. We consider a dynamic setting where the operator has no prior knowledge of the varying availability of WDs over time. We model this interaction as a Stackelberg Game (SG) and demonstrate the existence of an equilibrium. To address information asymmetry\, we use Bayesian optimization to learn pricing strategies\, establish an upper bound on its asymptotic regret\, and propose a greedy approximation algorithm for application caching. We then investigate the joint optimization of compute\, communication\, and memory resources in a static network setting\, where WDs minimize the costs of executing the tasks of their applications\, including monetary and energy expenses. We model this interaction as a SG\, show the existence of an equilibrium\, and prove that computing an equilibrium is NP-hard. We propose an efficient approximation algorithm with a bounded approximation ratio. An interesting feature of our solution is that the operator’s revenue is maximized when the WDs maximize their energy savings through computation offloading. Furthermore\, we investigate the rate-adaptation problem\, where WDs adjust their offloading rates based on available compute resources and pricing. We model the interaction as a SG and propose a Stackelberg gradient play algorithm that computes the operator’s implicit revenue function with respect to rate selection of the WDs. \nThe second part of this thesis explores a dynamic network and pricing setting where WDs arrive at the edge cell according to a non-homogeneous stochastic process\, and the operator sets prices based on the availability of WDs and their heterogeneous workload characteristics. We formulate the problem of maximizing the revenue of the operator as a sequential decision making problem under uncertainty\, where the operator’s price can be piecewise linear or non-linear and could vary over time. In a Markovian steady-state setting\, we derive analytical results for the optimal pricing strategy\, which also serve as a heuristic for the general case. To address the general case\, we introduce a Generalized Hidden Parameter Markov Decision Process and propose a dual Bayesian neural network approximator that approximates the state transitions and the revenue to accelerate the learning of the optimal pricing policy. This approach enables pre-training on synthetic traces while adapting quickly to unseen workload patterns. \nThe third part addresses overlooked computational challenges by examining the impact of server contention on both operator revenue and application latency constraints. To address this\, we propose a contention model validated through experiments across applications with varying compute demands\, including L1/L2/L3 caches\, I/O\, and memory bus usage. We develop a novel model-based Bayesian optimization algorithm to maximize operator revenue while ensuring that latency and resource capacity constraints are met. \nThe algorithmic contributions in the area of pricing and resource management are intended to serve as efficient\, deployable\, and scalable solutions that enhance the robustness and efficiency of resource allocation and pricing in EC. \nDetails of the panel are shown below: \nRespondent: Feridun Tütüncüoğlu \nSupervisors:  György Dan\, James Gross
URL:https://www.tecosa.center.kth.se/event/phd-defense-joint-optimization-of-pricing-and-resource-allocation-in-serverless-edge-computing-a-game-theoretic-perspective/
CATEGORIES:PhD defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250609T100000
DTEND;TZID=UTC:20250609T110000
DTSTAMP:20260503T201648
CREATED:20250514T102806Z
LAST-MODIFIED:20250516T082156Z
UID:7700-1749463200-1749466800@www.tecosa.center.kth.se
SUMMARY:PhD Defense: "Predictability\, Prediction\, and Control of Latency in 5G and Beyond: From Theoretical to Data-Driven Approaches"
DESCRIPTION:TECoSA PhD student Samie Mostafavi will defend his thesis at Hybrid\, Room D3\, Lindstedtsvägen 9\, KTH Campus and on zoom\, via this link.  Contact James Gross (jamesgr@kth.se) if you are interested in attending. \n \nAbstract: The explosive growth of mobile communication and the proliferation of real-time applications\, such as industrial automation and extended reality (XR)\, have created unprecedented demands for ultra-reliable low-latency communication (URLLC) in wireless networks. For example\, in industrial closed-loop control systems\, data must be transmitted within a target delay of at most a few milliseconds; violations can lead to costly failures and\, therefore\, must occur with probabilities below 0.0001 (or\, reliability above 0.9999). \nThis dissertation addresses the critical challenge of end-to-end latency prediction and control in these dynamic and stochastic environments\, bridging the gapbetween the inherent randomness of wireless communication and the deterministic performance guarantees required by time-sensitive applications. In this thesis\, we adopt a twofold approach\, combining rigorous theoretical analysis with practical\, data-driven methodologies. First\, we introduce a framework for analyzing predictability that quantifies the inherent limits of latency forecasting in communication networks. Through analysis of Markovian systems\, including single-hop and multi-hop queues\, exact expressions and spectral-based upper bounds for predictability are derived\, revealing the crucial influence of network topology\, state transitions\, and observation defects. \nBuilding on this foundation\, we developed and implemented data-driven techniques for probabilistic delay prediction. A key contribution is a tail-optimized prediction method that integrates Extreme Value Theory (EVT) within a mixture density network framework\, significantly enhancing the accuracy of predicting rare\, high-latency events critical for URLLC. To demonstrate the practical utility of these predictions\, ”Delta\,” a novel active queue management scheme\, is introduced. Delta integrates real-time delay violation probability predictions into packet-dropping decisions\, dynamically adapting to delay variations and significantly reducing delay violations. \nTo validate these approaches\, the ExPECA testbed and EDAF framework were developed\, enabling fine-grained delay measurement and decomposition in real 5G systems. Extensive experiments on both commercial off-the-shelf 5G and software-defined radio-based OpenAirInterface platforms confirmed the superior accuracy and efficiency of the proposed EVT-enhanced models. Furthermore\, temporal prediction models\, leveraging LSTM and Transformer architectures\, were developed and shown to achieve higher accuracy compared to the baseline approaches in real 5G network experiments\, capturing the time-varying dynamics of wireless networks and providing accurate multi-step forecasts. \nThis dissertation advances latency prediction and control for wireless networks\, offering both theoretical foundations and practical solutions for time-sensitive applications. These findings have significant implications for designing and operating next-generation wireless networks\, paving the way for more dependable communication. Future work should focus on integrating these prediction models to optimize the network and extending the framework to encompass broader quality of service metrics and emerging wireless technologies. \n  \nDetails of the panel are shown below: \nRespondent: Samie Mostafavi\nOpponent: Roberto Verdone\, University of Bologna\nCommittee: Viktoria Fodor\, KTH; Holger Rootzen\, Chalmers; Serveh Shalmashi\, Ericsson Research; (stand-in Mats Bengtsson\, KTH)\nChair: Mikael Skolgund\nSupervisors: James Gross\, György Dan
URL:https://www.tecosa.center.kth.se/event/phd-defense-predictability-prediction-and-control-of-latency-in-5g-and-beyond-from-theoretical-to-data-driven-approaches/
CATEGORIES:PhD defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250407T100000
DTEND;TZID=UTC:20250407T110000
DTSTAMP:20260503T201648
CREATED:20250326T112943Z
LAST-MODIFIED:20250407T071018Z
UID:7682-1744020000-1744023600@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Towards a Design Flow for Verified AI-Based Autonomy
DESCRIPTION:We aim to bring you a TECoSA Seminar each month during term-time.  All are welcome to attend and we look forward to some lively discussions. Members can accept the Outlook invitations\, non-members can email tecosa-admin@kth.se to register.\nOur April seminar is with Sanjit Seshia\, Cadence Founders Chair Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California\, Berkeley. The seminar will take place at Digital Futures hub\, floor 2 at KTH main Campus. It will also be possible to attend the seminar via Zoom. For more information on Digital Futures\, click here. \nAbstract: Verified artificial intelligence (AI) is the goal of designing AI systems that have strong\, ideally provable\, assurances of correctness with respect to formally-specified requirements. This talk will review the main challenges to achieving Verified AI\, and the progress the research community has made towards this goal. A particular focus will be on AI-based autonomous and semi-autonomous cyber-physical systems (CPS)\, and on the role of environment/world modelling throughout the design cycle. We argue for developing a new generation of design automation techniques\, rooted in formal methods\, to enable and support the routine development of high assurance AI-based autonomy. I will describe our work on formal methods for Verified AI-based autonomy\, implemented in the open-source Scenic and VerifAI toolkits. The use of these tools will be demonstrated in industrial case studies involving deep learning-based autonomy in ground and air vehicles. We conclude with an outlook to the future of the Verified AI agenda. \nBio: Sanjit A. Seshia is the Cadence Founders Chair Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California\, Berkeley. His research interests are in formal methods for dependable and secure computing\, spanning the areas of cyber-physical systems (CPS)\, computer security\, distributed systems\, artificial intelligence (AI)\, machine learning\, and robotics. He is co-author of a widely-used textbook on embedded\, cyber-physical systems and has led the development of technologies for cyber-physical systems education based on formal methods. His awards and honors include a Presidential Early Career Award for Scientists and Engineers (PECASE)\, an Alfred P. Sloan Research Fellowship\, the Frederick Emmons Terman Award for contributions to EECS education\, the IEEE TCCPS Mid-Career Award\, a Distinguished Alumnus Award from IIT Bombay\, and the Computer-Aided Verification (CAV) Award for contributions to the foundations of SMT solving. He is a Fellow of the ACM and the IEEE.
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-towards-a-design-flow-for-verified-ai-based-autonomy/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250331T130000
DTEND;TZID=UTC:20250331T163000
DTSTAMP:20260503T201648
CREATED:20250227T063657Z
LAST-MODIFIED:20250321T080200Z
UID:7653-1743426000-1743438600@www.tecosa.center.kth.se
SUMMARY:PhD Defense: Optimal Control and Coordination of Autonomous Intelligent Systems by Edge Computing
DESCRIPTION:TECoSA PhD student Kaige Tan will defend his thesis at Gladan\, Brinellvägen 85 at the Dept. of Engineering design\, KTH Campus. Contact Lei Feng (lfeng@kth.se) if you are interested in attending. The zoom link for the event can be found here. \nAbstract: Autonomous Intelligent Systems (AIS) are transforming various sectors by integrating advanced control theories\, artificial intelligence\, and cyber-physical systems. However\, AIS control development faces significant challenges\, including ensuring real-time responsiveness\, designing adaptive controllers for dynamic environments\, and coordinating multi-agent systems under uncertainties. These issues are exacerbated in resource-constrained settings\, where balancing computational demands and real-time performance is critical. \nTo mitigate these challenges\, this thesis leverages edge computing to enhance system performance\, so that data-driven methods and optimal control technologies become feasible for complex AIS applications. Edge computing is a scheme that brings computation\, communication\, and storage resources closer to data sources\, to achieve low-latency processing\, real-time adaptability\, and scalable solutions for AIS applications. It provides two key benefits: (1) offloading computationally intensive tasks to nearby edge servers\, so as to ensure responsive and efficient operations despite constrained resources onboard\, and (2) facilitating decentralized coordination among multiple agents by exploiting the edge server as a trustworthy node\, so as to improve system scalability\, reliability\, and collaborative decision-making. \nBuilding on the advantages of the offloading and coordinatio The dissertation will be at March 31st\, 13:00. The venue is Gladan\, Brinellvägen 85 at the Dept. of Engineering design\, KTH Campus. \nThe title of my thesis is: “Optimal Control and Coordination of Autonomous Intelligent Systems by Edge Computing”\, and the abstract is: \nAutonomous Intelligent Systems (AIS) are transforming various sectors by integrating advanced control theories\, artificial intelligence\, and cyber-physical systems. However\, AIS control development faces significant challenges\, including ensuring real-time responsiveness\, designing adaptive controllers for dynamic environments\, and coordinating multi-agent systems under uncertainties. These issues are exacerbated in resource-constrained settings\, where balancing computational demands and real-time performance is critical. \nTo mitigate these challenges\, this thesis leverages edge computing to enhance system performance\, so that data-driven methods and optimal control technologies become feasible for complex AIS applications. Edge computing is a scheme that brings computation\, communication\, and storage resources closer to data sources\, to achieve low-latency processing\, real-time adaptability\, and scalable solutions for AIS applications. It provides two key benefits: (1) offloading computationally intensive tasks to nearby edge servers\, so as to ensure responsive and efficient operations despite constrained resources onboard\, and (2) facilitating decentralized coordination among multiple agents by exploiting the edge server as a trustworthy node\, so as to improve system scalability\, reliability\, and collaborative decision-making. \nBuilding on the advantages of the offloading and coordination capabilities inherent in edge computing\, this thesis investigates how these features can be harnessed to overcome the limitations of AIS in achieving optimal control and coordination. Primary contributions of this thesis include: (1) the development of state estimation and data-driven optimal control algorithms\, which enables more precise estimation and control in nonlinear\, time-variant systems; (2) the design of edge-based computational task offloading algorithms to achieve real-time adaptive control and learning by distributing computationally intensive tasks\, which effectively balances latency and resource constraints; and (3) the introduction of decentralized optimization frameworks for multi-agent systems\, which enhances scalability\, robustness\, and coordination under communication constraints by leveraging edge servers as trustworthy nodes for efficient collaboration and decision-making. All contributions have been validated through case studies in soft robotics and connected autonomous vehicles\, demonstrating their effectiveness and advancements over existing methods. \nIn summary\, this thesis advances AIS capabilities by addressing real-time computational challenges and enabling optimal\, data-driven control and decentralized coordination. The integration of edge computing improves the efficiency\, scalability\, and adaptability of AIS\, offering promising opportunities for applications in autonomous mobility and other dynamic domains. \nDetails of the panel are shown below: \nPrincipal supervisor: Assoc. prof. Lei Feng\nCo-supervisor: Assoc. Prof. Fredrik Asplund\nChair at the defense: Assoc. Prof. Andreas Cronhjort\nOpponent: Assoc. Prof. Quanyan Zhu \nMembers of the grading committee: \nProf. Nicolce Murgovski\nAssoc. Prof. Ci Liang\nAssoc. Prof. Mohammad Ashjaei \nSubstitute: Prof. Jonas Mårtensson
URL:https://www.tecosa.center.kth.se/event/phd-defense-optimal-control-and-coordination-of-autonomous-intelligent-systems-by-edge-computing/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250312T130000
DTEND;TZID=UTC:20250312T163000
DTSTAMP:20260503T201648
CREATED:20250209T140739Z
LAST-MODIFIED:20250211T125703Z
UID:7616-1741784400-1741797000@www.tecosa.center.kth.se
SUMMARY:PhD Defense: "Efficient Strategies for Safety Assurance of Automated Driving Systems"
DESCRIPTION:TECoSA industrial PhD student (with Zenseact) Magnus Gyllenhammar will defend his thesis at F3 (Flodis)\, Lindstedtsvägen 26 & 28 at Sing-Sing\, KTH Campus. Contact Martin Törngren (martint@kth.se) if you are interested in attending. \nAbstract: By relieving the human driver of the responsibility of safely operating the vehicle\, Automated Driving Systems (ADSs) (colloquially known as self-driving cars) can free up time and possibly also reduce the number of road accidents. Paradoxically\, even though safety is one of the main expectations of ADSs\, it is also one of the major challenges and arguably one of the key reasons why we have yet to see widespread market deployment of such systems. Contrary to previous generations of automotive systems\, common development and safety assurance practises no longer suffice to accommodate the increased system complexity and operational uncertainty inherent to an ADS. Indeed\, concrete models and means to show safety fulfilment before deployment remain elusive. For that purpose\, this thesis focuses on efficient strategies for safety assurance of ADSs and explores this from three angles. \nFirstly\, a comprehensive review of the state of the art has been conducted to identify and structure available methods for providing (predictive) evidence of the safety of the ADS\, and to identify gaps and directions where further research is needed. \nSecondly\, the task of ensuring completeness of both the Verification and Validation (V\&V) as well as the safety requirements of the ADS has been explored. The appropriate definition\, formalisation and management of an Operational Design Domain (ODD) provide a means to ensure alignment between specification\, testing and operations of the ADS — suggesting one way of closing the completeness gap for the V\&V. Furthermore\, to address the exhaustiveness of the safety requirements\, this thesis proposes the use of a Quantitative Risk Norm (QRN) to elicit quantitative vehicle-level requirements. A QRN facilitates this exhaustiveness by considering frequencies of loss events (e.g. accidents) rather than requiring an enumeration of all possible hazards pertaining to the ADS. \nThirdly\, this thesis extends the concept of Precautionary Safety (PcS) proposing a methodology for connecting the quantitative safety requirements of the QRN and the runtime decisions of the ADS. This is enabled by augmenting the ADS’s situation awareness (SAW) with an understanding of its own ability to avoid different loss events. Using this enhances SAW model and by subsequently accounting for the uncertainties of the loss event probabilities\, enables an assessment of the QRN even when there is limited data available. Consequently\, the proposed methodology can ensure that the ADS indeed only takes decisions that are known to fulfil the QRN. \nJointly\, the work presented in this thesis paves a way for how to bridge quantitative safety requirements and runtime decision-making of the ADS\, and a possible strategy for efficient safety assurance of ADSs is outlined — drawing upon the contributions of the appended papers. There are still several open questions to understand the implications of this approach but the work showcased herein provides a solid foundation for such future work. \n\nDetails of the panel are shown below: \nSupervisors: Professor Martin Törngren (KTH)\, Jonas Fredriksson (Chalmers University)\, Gabriel Rodrigues de Campos (Zenseact) \nOpponent: Professor Phil Koopman (Carnegie Mellon University)
URL:https://www.tecosa.center.kth.se/event/phd-defense-efficient-strategies-for-safety-assurance-of-automated-driving-systems/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250306T150000
DTEND;TZID=UTC:20250306T160000
DTSTAMP:20260503T201648
CREATED:20250227T073358Z
LAST-MODIFIED:20250319T094227Z
UID:7659-1741273200-1741276800@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - COSMOS: A Platform for Wireless Innovation
DESCRIPTION:We aim to bring you a TECoSA Seminar on the first Thursday of each month during term-time.  All are welcome to attend and we look forward to some lively discussions. Members can accept the Outlook invitations\, non-members can email tecosa-admin@kth.se to register.\nOur February seminar is with Ivan Seskar\, Chief Technologist and Director/IT at WINLAB\, Rutgers University. The seminar will take place via Zoom\, through this link. \nThe presentation from the seminar can be found here. \n \nAbstract: For seven years\, the COSMOS testbed in New York City has been a leading platform for cutting-edge wireless research\, spanning physical\,network\, and application layers. This presentation details its architecture\, capabilities\, and experimental framework. Past \nexperiments\, illustrating the exploration of technologies from full-duplex and mmWave communications to open-source 5G system integration and O-RAN Alliance participation\, will be highlighted. COSMOS’s impact on smart city development\, particularly in urban connectivity and infrastructure management\, will also be showcased. The presentation concludes with a discussion of upcoming hardware upgrades focused on FR3 and intelligent spectrum coordination experimentation. \nBio: Ivan Seskar is the Chief Technologist and Director/IT at WINLAB\, Rutgers University responsible for experimental systems and prototyping projects. He is currently the program director for the COSMOS project responsible for the New York City NSF PAWR deployment. He has also been the co-PI and project manager for all three phases of the NSF-supported ORBIT mid-scale testbed project at WINLAB\, successfully leading technology development and operations since the testbed was released as a community resource in 2005 and for which the team received the 2008 NSF Alexander Schwarzkopf Prize for Technological Innovation.  Ivan is a co-chair of the IEEE Future Networks Testbed Working Group\, member of the IEEE Standardization Programs Development Board and the co-founder and CTO of Upside Wireless Inc.
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-cosmos-a-platform-for-wireless-innovation/
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250206T150000
DTEND;TZID=UTC:20250206T160000
DTSTAMP:20260503T201648
CREATED:20250117T091105Z
LAST-MODIFIED:20250203T100948Z
UID:7586-1738854000-1738857600@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Real-Time Learning\, Planning and Control with Curiosity-Driven Exploration
DESCRIPTION:We aim to bring you a TECoSA Seminar on the first Thursday of each month during term-time.  All are welcome to attend and we look forward to some lively discussions. Members can accept the Outlook invitations\, non-members can email tecosa-admin@kth.se to register.\nOur February seminar is with Patrick Hammer\, AI researcher and postdoctoral scholar in the Division of Robotics\, KTH. The seminar will take place at Gladan\, KTH. Register for the seminar here. \nIt is also possible to attend the seminar via Zoom. \nAbstract: This talk delves into enabling embodied agents to handle discrete and continuous domains with high-dimensional input using a unified model\, eliminating the need for hyperparameter tuning. We explore recent advancements in Model-Based Deep Reinforcement Learning and revisit the foundational goals of AI and Cybernetics: creating general-purpose adaptive systems. The discussion emphasizes learning efficiency through inductive biases\, causal reasoning and curiosity-driven exploration\, showcasing an experiential learning technique with unparalleled sample efficiency in grid world environments. Comparative results on the Minigrid benchmark and preliminary experiments with a simulated mobile robot highlight the approach’s versatility. The talk concludes with insights into unifying diverse methodologies and an optimistic outlook for advancing research toward AI’s original\, ambitious objectives. \nBio: Patrick Hammer is an AI researcher and postdoctoral scholar in the Division of Robotics\, Perception\, and Learning at KTH. His research focuses on advancing the autonomy of intelligent agents\, especially mobile robots\, by providing them with higher levels of adaptiveness\, emphasizing the integration of Non-Axiomatic Reasoning and Deep Neural Networks. His long-term vision is to replicate\, in computer systems\, key aspects of natural intelligence as showcased by higher-developed animals in their cognitive capacities and ability to improvise.
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-real-time-learning-planning-and-control-with-curiosity-driven-exploration/
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250124T090000
DTEND;TZID=UTC:20250124T100000
DTSTAMP:20260503T201648
CREATED:20250114T115229Z
LAST-MODIFIED:20250115T175325Z
UID:7590-1737709200-1737712800@www.tecosa.center.kth.se
SUMMARY:PhD Defense: "AI Driven Smart Tightening and Feature Management System for Agile Assembly"
DESCRIPTION:TECoSA industrial PhD student (with Atlas Copco) Lifei Tang will defend his thesis at Gladan\, Brinellvägen 85 at the Dept. of Engineering design\, KTH Campus.  Contact Lei Feng (lfeng@kth.se) if you are interested in attending. \n \nAbstract: The convergence of Industry 4.0\, digitization\, and the concepts of agile andsmart manufacturing is shaping a future driven by cyber-physical systems (CPS)\,the industrial internet of things (IIoT)\, and artificial intelligence (AI). This evo-lution promises unprecedented efficiency\, agility\, and intelligence in manufac-turing. Correspondingly\, these advancements also present new challenges forthe assembly industry. This thesis tackles these challenges in two key areas:trustworthy feature management for agile assembly\, and AI-powered tighteningdiagnosis for smart assembly.Agile manufacturing prioritizes flexibility for uncertain markets. To achievethis\, assembly device maker are increasingly shifting focus to software thatlargely defines hardware functionality. This shift allows companies to offer plat-forms with customizable features rather than just hardware\, which in tern\,reduces operational expenses and allows customers to dynamically configuretheir assembly lines via software. This transition also necessitates a trustwor-thy Feature Management System (FMS) to control feature activation throughsoftware licensing. However\, existing server-based solutions pose trust issues:sellers fear license abuse\, while buyers worry about single points of failure duringserver outages.This thesis contributes a novel permissioned blockchain system designedto address trust concerns in feature management for assembly devices. Theproposed solution combines software licensing for feature control with secureownership transaction records on the blockchain. By leveraging the trust\, trans-parency\, and security of permissioned blockchain technology\, the system ensuressecure and controlled access to license information for authorized parties.Integrating software and physical assembly devices into CPSs enables seam-less data acquisition through communication protocols. Once this data is col-lected\, AI becomes a powerful tool for decision-making. In smart tighteningsystems\, accurately diagnosing tightening results is critical. Modern assemblylines use advanced electric tightening tools equipped with torque and angletransducers to capture detailed data after each operation\, enabling the evalua-tion of tightening performance.Currently\, accurate evaluation still requires manual analysis by tighteningexperts\, resulting in inefficient quality checks that are limited to small samplesof production units. This thesis introduces innovative deep learning methods toautomate the tightening quality assessment process\, achieving expert-level ac-curacy across all manufactured units and reducing the risk of defective productsreaching consumers.Towards AI-powered smart assembly\, our initial research contribution fo-cused on developing a sensor fusion approach using convolutional neural networkand transformer-based architectures for diagnosing tightening results throughsupervised learning. However supervised learning requires labeled data\, andlabeling tightening results requires significant manual work from tightening ex-perts\, leading to a scarcity of labeled datasets. Furthermore\, in sensitive assem-bly applications\, regulatory constraints may prevent sensor data from leaving theshop floor\, where computational resources are often limited. To address thesechallenges\, this thesis also contributes novel self-supervised learning\, data aug-mentation and data augmentation scheduling methods that reduce reliance onlabeled data and computational resources. These innovations ultimately resultin a robust deep learning solution for diagnosing tightening results in real-worldmanufacturing environments. \nDetails of the panel are shown below: \nSupervisors: Professor Martin Törngren\, Associate Professor Lei Feng and Professor Lihui Wang \nOpponent: Professor Knut Åkesson\, Chalmers University of Technology
URL:https://www.tecosa.center.kth.se/event/phd-defense-ai-driven-smart-tightening-and-feature-management-system-for-agile-assembly/
CATEGORIES:PhD defense
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DTSTART;TZID=UTC:20241205T150000
DTEND;TZID=UTC:20241205T160000
DTSTAMP:20260503T201648
CREATED:20240823T101730Z
LAST-MODIFIED:20241125T121212Z
UID:7505-1733410800-1733414400@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Transformation of Software Engineering Concepts in Industrial Automation: Towards Openness and Distributed Intelligence
DESCRIPTION:We aim to bring you a TECoSA Seminar on the first Thursday of each month during term-time.  All are welcome to attend and we look forward to some lively discussions. Members can accept the Outlook invitations\, non-members can email tecosa-admin@kth.se to register.\nOur December seminar is withValeriy Vyatkin (IEEE Fellow)\, Professor of Information and Computer Engineering. The seminar will take place at Gladan\, KTH. You can register for the event here.\n\nIt is also possible to attend via Zoom.\n\nABSTRACT: In this talk\, we observe the past 30 years of developments in computational concepts used in Operational Technology (OT) level of industrial automation systems which is traditionally associated with Programmable Logic Controllers (PLCs).\n\nSuch trends as modularity\, reconfigurability and autonomy counter the complexity of engineering and stipulate industries to look for transformation of OT engineering to more software-centric and vendor neutral approach\, same time maintaining compatibility with legacy. We will review the transformation of IEC 61499 standard concept and developments in the adjacent areas of computing and to summarise newly emerging challenges.\n\nBIO: Valeriy Vyatkin (IEEE Fellow) is Professor of Information and Computer Engineering in Automation at Aalto University\, Finland on joint appointment as Chaired Professor (Ämnesföreträdare) of Dependable Computation and Communication Systems\, Luleå University of Technology\, Luleå\, Sweden. He has been leading research projects related to software and systems engineering for cyber-physical automation systems\, intelligent energy\, logistics and transportation\, addressing such aspects as dependability\, distributed architectures and multi-agent systems applied in various industry sectors: SmartGrid\, material handling\, building management systems and reconfigurable manufacturing\,  funded by the National Science Foundation (USA)\, Vettenskap Råd (Sweden)\, Academy of Finland\, various national and private agencies in Japan\, Germany\, New Zealand\, Sweden\, Finland and the EU. Valeriy is an active IEEE volunteer for about 20 years\, currently serving as Vice-President for Technical Activities of Industrial Electronics Society.
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-transformation-of-software-engineering-concepts-in-industrial-automation-towards-openness-and-distributed-intelligence/
CATEGORIES:Lectures,Seminar,Talks,webinar
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20241119
DTEND;VALUE=DATE:20241121
DTSTAMP:20260503T201648
CREATED:20240422T120910Z
LAST-MODIFIED:20240422T120910Z
UID:7339-1731974400-1732147199@www.tecosa.center.kth.se
SUMMARY:12th Scandinavian Conference on Systems and Software Safety (SCSSS 2024)
DESCRIPTION:The 12th Scandinavian Conference on Systems and Software Safety takes place 19-20 November 2024 in Göteborg. \nSystem and software safety in electronic systems is important in many industries and for societal infrastructure. The systems become more complex\, connected and autonomous and the software continues to grow. This poses many challenges for organizations\, requiring approaches that go beyond established best practices. Many organizations face similar challenges and sharing experiences becomes essential \nThe Scandinavian conference on safety critical systems and software has become a central meeting place for Scandinavian safety experts from industry\, public and academic organizations. The conference is an opportunity to share experiences and make new contacts. There will be a plenary overview day\, and a second day with parallel sessions. The parallel sessions will be in depth workshops and tutorials about different challenges\, techniques\, standards and methods. As usual we anticipate a healthy mixture of participants from different industries and academia. \nThis year we collaborate with Swedish Electromobility Centre at Chalmers\, and special focus will be on safety in electrification of transport. We will have keynotes on safety from Etteplan and Heart Aerospace\, two companies involved in the electromobility transformation. \nIn addition to the usual SCSSS topics (such as safety related to artificial intelligence\, agile development\, architecture\, autonomy\, and quality assurance) we invite proposals for presentations and workshops on safety-related topics for electromobility\, including electric machines\, battery technologies and charging infrastructure. \nCall for presentations ends May 12 2024 \nYou are invited to propose presentations https://forms.gle/jmUmebb6HUPBRnKB8 \nProgram ~ to follow \nProgram committee \n\nFredrik Asplund\, KTH (Chair)\nGunnar Andersson\, SER\nJonas Fredriksson\, Chalmers\nBarbara Gallina\, MDU\nPer Johannessen\, Volvo Group\nEven-André Karlsson\, Addalot\nJesper Lindell\, Combitech\nLinda Olofsson\, Chalmers\nHåkan Sivencrona\, Volvo Cars\nStaffan Skogby\, Pictor Consulting AB\nMartin Törngren\, KTH\nFredrik Warg\, RISE
URL:https://www.tecosa.center.kth.se/event/12th-scandinavian-conference-on-systems-and-software-safety-scsss-2024/
CATEGORIES:Conference
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