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X-WR-CALDESC:Events for TECoSA
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250609T100000
DTEND;TZID=UTC:20250609T110000
DTSTAMP:20250516T082156Z
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:20250407T071018Z
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:20250321T080200Z
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:20250211T125703Z
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:20250319T094227Z
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:20250203T100948Z
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:20250115T175325Z
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241205T150000
DTEND;TZID=UTC:20241205T160000
DTSTAMP:20241125T121212Z
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
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241119
DTEND;VALUE=DATE:20241121
DTSTAMP:20240422T120910Z
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241107T150000
DTEND;TZID=UTC:20241107T160000
DTSTAMP:20241111T133111Z
CREATED:20231107T072236Z
LAST-MODIFIED:20241111T133111Z
UID:6958-1730991600-1730995200@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Holistic perspectives on safety of Automated Driving Systems
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.\nThe recording from this seminar is available here.  \nOur November seminar is with Magnus Gyllenhammar\, Industrial PHD Student at Zenseact. The seminar will take place at Gladan\, KTH. Click here to register for the physical event. It will also be possible to attend via Zoom.  \nABSTRACT: In recent years\, enormous investments in Automated Driving Systems (ADSs) have distinctly advanced ADS technologies. Despite promises made by several high profile auto-makers\, it has however become clear that the challenges involved for deploying ADS have been drastically underestimated.Contrary to previous generations of automotive systems\, common design\, development\, verification and validation methods for safety critical systems do not suffice to cope with the increased complexity and operational uncertainties of an ADS. In this talk I will present the key findings from a review paper conducted with the aim to provide an understanding of existing methods for providing safety evidence and\, in particular\, identifying the associated challenges and gaps pertaining to the use of each method. Four categories of methods: design techniques\, verification and validation methods\, run-time risk assessment\, and run-time (self-)adaptation\, are presented and the eight challenges (identified in the paper) help provide insights into a selection of the reviewed methods. Finally\, the derived set of research gaps will be discussed. \n\nThe talk is based on the results of a review paper currently in submission – an early preprint-version of which can be found at: https://www.techrxiv.org/doi/full/10.36227/techrxiv.20331243.v1 \n  \n\nBIO: Magnus Gyllenhammar pursues a PhD at KTH Royal Institute of Technology as part of his employment at Zenseact\, Gothenburg\, Sweden. His research focuses on finding efficient strategies for safety argumentation of ADSs\, especially focusing on precautionary safety and dynamic risk assessment in relation to the fulfilment of a quantitative risk norm. He received his MSc. in Engineering Physics\, major in Complex Adaptive System\, from Chalmers University of Technology\, in 2016. In 2018\, he joined Zenseact (then Zenuity) and has since worked on creating and realising data-driven strategies for verification and safety argumentation of ADSs.
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-holistic-perspectives-on-safety-of-automated-driving-systems/
CATEGORIES:Lectures,Seminar,Talks,webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241003T150000
DTEND;TZID=UTC:20241003T160000
DTSTAMP:20240911T081852Z
CREATED:20240908T094609Z
LAST-MODIFIED:20240911T081852Z
UID:7525-1727967600-1727971200@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - NextG2Com - a Vinnova competence center for the next generation networked intelligent systems and applications
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 with professor Maria Kihl (Lund University – faculty of engineering)\, Director for the center NextG2Com (https://www.nextg2com.lu.se/english/). The seminar will be held via Zoom. \n  \nBio: Maria Kihl is a Professor in Internetworked systems at Lund University. She is a research leader and the Director for the new Vinnova competence center NextG2Com. She has long experience of applied research with industrial collaboration within a wide range of networked applications and telecommunication infrastructures.  Further\, she is the Chair of the Career Board LTH and an Assistant Head of Department of Electrical and Information Technology. Also\, she has been a board member for Teracom AB. \n 
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-with-maria-kihl/
CATEGORIES:Lectures,Seminar,Talks,webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240617T090000
DTEND;TZID=UTC:20240617T150000
DTSTAMP:20250321T130830Z
CREATED:20240404T105720Z
LAST-MODIFIED:20250321T130830Z
UID:7262-1718614800-1718636400@www.tecosa.center.kth.se
SUMMARY:TECoSA Edge Computing Summit
DESCRIPTION:All are welcome to join us for this TECoSA Edge Computing Summit\, addressing key trends\, use-cases and challenges in edge computing. The event is a collaboration between the KTH research centres TECoSA and Digital Futures and the university cooperation initiative Nordforsk NUEI. Join physically at KTH or online.\nThe TECoSA Edge Computing summit will address the academic and industrial status quo of edge computing\, and in particular focus on the next ten years: Where will edge computing\, networked infrastructures and applications go from here? What will 6G mean for edge computing? What will be the relevance of AI and in particular foundation models for edge computing? And how can we ensure trustworthy infrastructures in the future? \nThe event features keynotes by Professors Mahadev Satyanarayanam (CMU)\, Klara Nahrstedt (University of Urbana-Champaign) and Sasu Tarkoma (University of Helsinki) plus industrial perspectives and panel debates. Click here if you want to know more about the keynote speakers and panel moderators! \n* The recordings from the event are now available\, see link here! *  \nSee all presentations below:  \n\nKeynote Mahadev Satyanarayanan\nKeynote Klara Nahrstedt\nKeynote Sasu Tarkoma\nIndustrial talk by Malina Borg Sigg\nIndustrial talk by Chris Jenkins \n\n\nKeynote speakers\n \nMahadev Satyanarayanan\, CMU\nEdge Computing: the Journey Ahead – the roots of edge computing and its intimate relationship to cloud computing \nProfessor Mahadev Satyanarayanam \n\n  \n  \n \nKlara Nahrstedt\, University of Illinois Urbana Champaign\nEdge Computing in Age of Machine Learning and Energy Constraints \nProfessor Klara Nahrstedt  \n  \n  \n  \n \nSasu Tarkoma\, University of Helsinki\nAI Interconnect for 6G \nProfessor Sasu Tarkoma \n  \n  \n  \n\nProgramme for the Event\n09:00 – Start of the event\, introduction by TECoSA \n09:20 – Keynote speaker Mahadev Satyanarayanam  \n10:10 – Industrial talk 1 \n\nTitle: Telenor’s Road to Commercializing the Edge\nSpeaker: Malina Borg Sigg\, 5G Expert\, Telenor\n\n10:30 – Coffee break with demonstrations \n11:00 – Keynote speaker Klara Nahrstedt \n11:45 – Panel 1: The Future of Edge Computing \n\nAaron Ding (TU Delft)\, György Dan (KTH)\, Mahadev Satyanarayanam (CMU)\,  Malina Borg Sigg (Telenor)\nModerator: Qi Zhang (AU)\n\n12:30 – Lunch Break with Mingle and Demonstrations \n01:15 – Keynote speaker Sasu Tarkoma \n02:00 – Industrial Talk 2  \n\nTitle: How did this known CVE get into production at the edge?! Secure your software supply chain end to end with OpenShift.\nSpeaker: Chris Jenkins\, Principal Chief Architect\, Red Hat\n\n02:30 – Panel 2: Trustworthiness Considerations \n\nElena Dubrova (KTH)\, Klara Nahrstedt (UIUC)\, Sasu Tarkoma (UH)\, Xiang Su (NTNU)\nModerator: Iolanda Leite (KTH)\n\n03:15 – Conclusions and Coffee \n04:30 – Closing of the Event \n\nRegistration\nTo join (in real life or online)\, please sign up here before 16 June: \nhttps://www.kth.se/form/tecosa-edge-computing-summit-registration \nParticipate on location:\nThe venue will be R1\, the KTH Reactor Hall\, Drottning Kristinas väg 51\,\nhttps://www.kth.se/en/om/mot/r1/kth-reaktorhallen-1.739170 \nParticipate on webinar:\nLink: https://kth-se.zoom.us/j/61412956418 \nContact\nTECoSA co-director James Gross: jamesgr@kth.se \n\nOrganisers\n\nThe event is co-organised by TECoSA (Trustworthy Edge-Computing Systems and Applications)\, NUEI (Nordforsk Univerity Collaboration on Edge Intelligence)\, and Digital Futures. \nNordic University Cooperation on Edge Intelligence (NUEI) (at nordforsk.org) \nDigital Futures
URL:https://www.tecosa.center.kth.se/event/tecosa-edge-computing-summit-june-17/
CATEGORIES:Seminar,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240512
DTEND;VALUE=DATE:20240513
DTSTAMP:20240422T120433Z
CREATED:20240422T120403Z
LAST-MODIFIED:20240422T120433Z
UID:7335-1715472000-1715558399@www.tecosa.center.kth.se
SUMMARY:SCSSS 2024 - Call for Presentations! Deadline: 12 May
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 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/scsss-2024-call-for-presentations/
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240502T150000
DTEND;TZID=UTC:20240502T160000
DTSTAMP:20240220T140112Z
CREATED:20240216T135654Z
LAST-MODIFIED:20240220T140112Z
UID:7109-1714662000-1714665600@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Radio Positioning in 6G Communication Systems
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 guest speaker for May is Marina Petrova\, Professor of Wireless Communications with RWTH Aachen\, and a Visiting Professor with the School of Electrical Engineering and Computer Science\, KTH.  The session will be given via Zoom (https://kth-se.zoom.us/j/66857695267). \nABSTACT: Enabling sensing functionality with cellular network infrastructure is envisioned as one of the disruptive features of the sixth-generation (6G) networks. By doing so\, future networks will be able to “see” the physical world through radio imaging and measuring the surrounding environment\, and offer advanced location-aware services and applications. Joint design of communication and sensing in a so called Integrated Communication and Sensing  (ICaS) system requires careful optimization of the available system resources between the two functions to meet their respective target requirements. In this talk\, I will first motivate and present the background of ICaS systems. Thereafter I will highlight our latest research results on a 5G New Radio (NR)-based cooperative multi-monostatic sensing framework for passive target localization. Our fusion-based estimation process can mitigate the effect of multipath and increase the localization accuracy in a bandwidth limited scenario. Finally\, I will conclude the talk by identifying and discussing major open challenges and future directions in designing ICaS systems. \nBIO: Marina Petrova received the Diploma degree in electronics engineering and telecommunications from Ss. Cyril and Methodius University\, Skopje\, North Macedonia and the Ph.D. degree in electrical engineering from RWTH Aachen University\, Aachen\, Germany. She is currently a Professor of Wireless Communications with RWTH Aachen\, and a Visiting Professor with the School of Electrical Engineering and Computer Science\, KTH Royal Institute of Technology\, Stockholm\, Sweden. Her research interests are in system-level modeling\, optimization\, and design of future intelligent wireless systems including\, millimeter-wave and ICAS technologies\, joint radio access and mobile computing\, and spectrum sharing. She has published about 150 articles in journals and conference proceedings. Dr. Petrova is a recipient of the Future Research Leader Award from the Swedish Foundation for Strategic Research and was named a Wallenberg Academy Fellow in 2019. She has served as an Editor for IEEE Wireless Communication Letters and IEEE Transactions on Mobile Computing.
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-radio-positioning-in-6g-communication-systems/
CATEGORIES:Seminar,webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240404T120000
DTEND;TZID=UTC:20240404T163000
DTSTAMP:20240229T080343Z
CREATED:20240208T092237Z
LAST-MODIFIED:20240229T080343Z
UID:7069-1712232000-1712248200@www.tecosa.center.kth.se
SUMMARY:Trustworthy AI regulations and their industrial/societal implications - a TECoSA Workshop with Digital Futures
DESCRIPTION:All are welcome to this hybrid workshop to promote stakeholders & community dialogues on AI in industrial and societal applications\, emphasizing ongoing regulatory work\, gaps (regulators/research/industry) and innovation ecosystem creation.\nFor onsite participation and free lunch\, please register here by 28 March.  Please note places are limited to 40\, so first come first served.\nVenue: Digital Futures hub\, Osquars Backe 5\, floor 2\, KTH Campus\, Stockholm  (Directions: https://www.digitalfutures.kth.se/contact/how-to-get-here/)\nOr join us by Zoom:  https://kth-se.zoom.us/j/63920431339    (Meeting ID: 639 2043 1339) \n\nWORKSHOP CHAIRS AND INITIATORS\n \nABSTRACT\nCurrent rapid technological developments in Artificial Intelligence (AI) pose plenty of innovation opportunities and trustworthiness challenges – affecting all industrial domains and society! \nThe AI developments are taking place simultaneously with many technological innovations (e.g. sensors\, communications\, computing\, additive manufacturing and augmented reality\, to name a few) – leading to a socio-technical paradigm shift. This shift is reflected in changing regulations\, standards\, business models\, insurance schemes\, and new companies and collaborations. Specifically\, in the digital decade of the EU\, new regulations on AI\, data\, cyber-security\, and digital services are being pursued\, with related efforts in other parts of the world! At the same time\, the legislation and standards are also evolving in virtually all industrial domains concerning AI and trustworthiness\, some domains of which are already heavily regulated and some less so. \nWith all these developments\, it is easy to get lost\, and it is essential to understand that there will inherently be many (different) perspectives or viewpoints on what even the concepts of trustworthiness and AI mean\, especially because of their broad applicability across industrial and societal domains. However\, this challenge makes promoting dialogues and interactions between different stakeholders and communities even more important–representing this workshop’s important goal! \nThe following questions are of specific interest for this workshop: \n\nWhat is the state of the current AI regulation\, and what are the next steps (regulations\, guidelines\, standards\, etc.)\nWhat kind of regulations do we need? What are socio-technical considerations in balancing innovation and trustworthiness (cmp. for example\, “AI alignment\, An open letter to pause AI experiments”)?\nHow do we reconcile the plethora of regulations and standards that will be overlapping and partly conflicting\, reflecting different standpoints and inherent dependencies and tradeoffs (e.g. open data/learning/Explainable AI vs. privacy/confidentiality and IP; safety vs. performance/availability\, etc.)?\nHow does the AI act relate to and potentially conflict with other regulations\, including domain-specific ones?\nWhat are the potential synergies? When/how can we reach convergence?\nHow can we better bridge the gaps between regulators\, industrial practitioners and researchers?\nHow do we create innovative ecosystems promoting trustworthy AI and other sophisticated autonomous systems?\n\n  \nPROGRAMME:\n[click here for bios\, titles and abstracts of presenters and panelists] \n12:00 – Informal icebreaker lunch \n13:00 – Session 1: Keynote and Invited short talks (1h+30 mins) \n\nKeynote talk by Tatjana Evas (EC) (30 mins\, 20+10)\nShort talks to set the context for the industrial panel (10+5)!\n\nFredrik Heintz\, Professor LIU (AI)\nEduardo Gill-Pedro\, Associate professor\, Lund University (law)\nAnna Felländer\, Anch AI\nHans Hedin\, Swedish Post & Telecom Authority (PTS)\n\n\n\n14:30 – Leg stretch\, coffee\, and change to break out groups (15 mins) \n14:45 – Session 2: Break out groups and brief reporting \n\n20 min. work session in groups\, with one person providing a summary with 2 highlights: Main problems to be resolved? Most important action ahead? Note-taking in a shared doc. (verbose is absolutely fine as long as 2 highlights are generated!)\n20 min: Brief summaries per group (1 slide per group)\n\n15:25 – Session 3: Panel debate – industrial responses (40 mins) \n\n\n\nShiva Sander-Tavallaey (ABB)\nMaria Ramstedt (Ericsson)\nLuis Martinez (Volvo cars)\nAnna Sööder (Schibsted)\nPotential further industrial representative\n\n\n\n16:05 – Next steps and Wrap up (10 mins) \n16:15 – End of Day
URL:https://www.tecosa.center.kth.se/event/trustworthy-ai-regulations-and-their-industrial-societal-implications-a-tecosa-workshop-with-digital-futures/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240307T150000
DTEND;TZID=UTC:20240307T160000
DTSTAMP:20240208T082736Z
CREATED:20240208T082243Z
LAST-MODIFIED:20240208T082736Z
UID:7062-1709823600-1709827200@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar – Software-Enabled Solutions for Human-on-the-Loop Autonomous Systems
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 guest speaker for March is Rebekka Wohlrab\, Assistant Professor in Software Engineering at Chalmers University of Technology\, and adjunct faculty member at Carnegie Mellon University.  The session will be given via Zoom (https://kth-se.zoom.us/j/66857695267). \nABSTRACT: Software is a key driver of innovation in complex autonomous systems\, such as IoT systems\, smart cloud systems\, or robots. To ensure that such systems are useful and trusted by members of our society\, they need to act in an understandable way and meet their users’ requirements. Requirements in this context are often related to qualities\, such as performance\, security\, reliability\, or safety. Humans tend to have preferences regarding what requirements are important in different contexts. To help systems understand these requirements and how they change\, software-based approaches are needed that enable humans to give input\, monitor systems\, and intervene when necessary. In this talk\, Rebekka will present recent work on how such solutions can be designed to develop better human-on-the-loop autonomous systems. \nBIO: Rebekka Wohlrab is an assistant professor at Chalmers University of Technology\, and an adjunct faculty member at Carnegie Mellon University. Her research interests include requirements engineering and software architecture\, especially in connection with human-on-the-loop autonomous systems. She received her Ph.D. in computer science from Chalmers University of Technology. You can find more information about her work on her website: https://rebekkaa.github.io/
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-software-enabled-solutions-for-human-on-the-loop-autonomous-systems/
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240305T130000
DTEND;TZID=UTC:20240305T160000
DTSTAMP:20240305T063836Z
CREATED:20240305T063836Z
LAST-MODIFIED:20240305T063836Z
UID:7253-1709643600-1709654400@www.tecosa.center.kth.se
SUMMARY:15th Quarterly Meeting
DESCRIPTION:The 15th Quarterly Meeting takes place on Tuesday 5 March!\nAgenda and details sent by email to all members. \nRSVP by 16 Feb!
URL:https://www.tecosa.center.kth.se/event/15th-quarterly-meeting/
CATEGORIES:Management meetings
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240223T120000
DTEND;TZID=UTC:20240223T130000
DTSTAMP:20240126T114516Z
CREATED:20240126T113851Z
LAST-MODIFIED:20240126T114516Z
UID:7054-1708689600-1708693200@www.tecosa.center.kth.se
SUMMARY:TECoSA Research Seminar: Toward Explainable Robots: Integrating Modeling Humans and Adaptive Learning
DESCRIPTION:[For TECoSA members only.] \nSpeaker: Elmira Yadollahi\, TECoSA postdoc\n(Venue\, Zoom link and sign-up link circulated to members)\nPlease email vickid@kth.se if you have any questions. \nABSTRACT: Explainability in human‑robot collaboration refers to the robot’s ability to provide clear\, transparent\, and interpretable explanations for its actions and decisions. It bridges the communication gap between complex machine functionalities and humans. An active area of investigation in robotics and AI is understanding and generating explanations that can enhance collaboration and mutual understanding between humans and machines. A key to achieving such seamless collaborations is understanding end-users\, whether naive or expert\, and tailoring explanation features that are intuitive\, user-centered\, and contextually relevant. Advancing on the topic includes modelling humans’ expectations for generating explanations and developing metrics to evaluate them and assess how effectively autonomous systems communicate their intentions\, actions\, and decision-making rationale. This seminar will present multiple user studies\, focusing on understanding how humans perceive robots’ or autonomous vehicles’ explanations in different scenarios\, e.g.\, failures or accidents. Subsequently\, we transition to a phase of basic modelling of human expectations and machine understanding\, leading us to develop adaptive learning approaches that leverage reinforcement learning strategies to refine and enhance these machines’ explanatory capabilities. \n  \n 
URL:https://www.tecosa.center.kth.se/event/tecosa-research-seminar-toward-explainable-robots-integrating-modeling-humans-and-adaptive-learning/
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240201T150000
DTEND;TZID=UTC:20240201T160000
DTSTAMP:20240125T153451Z
CREATED:20240125T150217Z
LAST-MODIFIED:20240125T153451Z
UID:7042-1706799600-1706803200@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Evolving Wireless Technology Towards 6G: The vision behind the SweWIN Center
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 first speaker of 2024 is Emil Björnsson\, Professor of Wireless Communication at KTH.  The seminar will take place in Gladan (Brinellvägen 85\, KTH Campus) and via Zoom (https://kth-se.zoom.us/j/66857695267). \nABSTRACT:  The world is becoming increasingly digitalized and connected\, and mobile broadband connectivity is the backbone of this development. The demand for capacity and service quality expectations are constantly increasing\, which calls for continuous technological evolution. The wireless technology is developed in cycles; a new generation is developed during each decade and then deployed during the next decade. The first phase of the 5G roll-out has now finished\, and the research community has shifted focus towards 6G\, the sixth generation of mobile network technology. \nWhy do we need to further evolve the wireless technology towards 6G? In this seminar\, I will describe the wireless evolution with a focus on mobile broadband applications\, where the service quality is characterized by the data speed and traffic capacity. I will discuss how much faster wireless technology must become and what the real bottlenecks and technological challenges are. This leads us to the vision behind the new Vinnova Competence Center\, Swedish Wireless Innovation Network (SweWIN)\, which focuses on making future technology more sustainable\, resilient\, and fair. \nBIO:  Emil Björnson is a Professor of Wireless Communication at the KTH Royal Institute of Technology\, Stockholm\, Sweden. He is an IEEE Fellow\, Digital Futures Fellow\, and Wallenberg Academy Fellow. He has a podcast and YouTube channel called Wireless Future. His research focuses on multi-antenna communications and radio resource management\, using methods from communication theory\, signal processing\, and machine learning. He has authored four textbooks and has published a large amount of simulation code. \nHe has received the 2018 and 2022 IEEE Marconi Prize Paper Awards in Wireless Communications\, the 2019 EURASIP Early Career Award\, the 2019 IEEE Communications Society Fred W. Ellersick Prize\, the 2019 IEEE Signal Processing Magazine Best Column Award\, the 2020 Pierre-Simon Laplace Early Career Technical Achievement Award\, the 2020 CTTC Early Achievement Award\, the 2021 IEEE ComSoc RCC Early Achievement Award\, and the 2023 IEEE Communications Society Outstanding Paper Award. His work has also received six Best Paper Awards at conferences.
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-evolving-wireless-technology-towards-6g-the-vision-behind-the-swewin-center/
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240126T120000
DTEND;TZID=UTC:20240126T130000
DTSTAMP:20240122T133732Z
CREATED:20240119T093247Z
LAST-MODIFIED:20240122T133732Z
UID:7029-1706270400-1706274000@www.tecosa.center.kth.se
SUMMARY:Invited talk on Safe & Reliable Automated Driving Decision Making
DESCRIPTION:Abstract: Safety is a core concern for AD. We propose a framework to introduce safety constraints to decision making for AD. The formal STPA modeling is conducted on the operational scenarios of AD\, namely\, combining STPA models and ontology method to realize the structured formalized expression of the scenario\, then based on that identifying the scenario hazards\, and generating scenario safety constraints. The safety constraints obtained will be introduced to the perceptual neural network and quantifying the uncertainty of perceptual neural network output. Combining the safety perceptual output and human driving characteristic constraints (such as driving style and response time) to realize much safer decision making for AD. \nBio: Ci LIANG is currently the Associate Professor in tenure track and Ph.D. Supervisor with the School of Transportation Science and Engineering\, Harbin Institute of Technology. She worked as a Senior Engineer at the Swedish headquarters of Volvo Cars from 2018 to 2022\, working on the project of system safety design for L4 Autonomous Driving System\, and the project of functional safety design on Power & Energy control system of Electric Vehicles. Ci Liang was the nominee for the European ” Women in Rail Research and Innovation Award”\, and the “8th Abertis Traffic Safety International Award” in France. She serves as the IFAC TC 7.4 “Transportation Systems” Technical Committee\, the Chairman and IPC of the workshop SRToITS of international conference “SafeComp”\, Guest Editor of SAE International Journal of Connected and Automated Vehicles\, reviewers of IEEE T-ITS\, Reliability Engineering and System Safety\, IEEE T-IV\, etc.\, IEEE member and IEEE ITSS member. \nAssociate Professor Ci Liang (Harbin Institute of Technology School of Transportation Science and Engineering) will be visiting the Mechatronics division at KTH on 25 and 26 January 2024. \nPlease contact tecosa-admin@kth.se if you are interested in attending this talk in real life at the KTH Department of Engineering Design\, Brinellvägen 85.  Alternatively\, you can join by Zoom: https://kth-se.zoom.us/j/66857695267
URL:https://www.tecosa.center.kth.se/event/invited-talk-on-safe-reliable-automated-driving-decision-making/
CATEGORIES:Talks
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231214T090000
DTEND;TZID=UTC:20231214T120000
DTSTAMP:20240305T064054Z
CREATED:20240305T064054Z
LAST-MODIFIED:20240305T064054Z
UID:7255-1702544400-1702555200@www.tecosa.center.kth.se
SUMMARY:14th Quarterly Meeting
DESCRIPTION:The 14th Quarterly Meeting takes place on Thursday 14 December!\nAgenda and details sent by email to all members. \nRSVP by 30 Nov!
URL:https://www.tecosa.center.kth.se/event/14th-quarterly-meeting/
CATEGORIES:Management meetings
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231208
DTEND;VALUE=DATE:20231209
DTSTAMP:20230911T090152Z
CREATED:20230911T090152Z
LAST-MODIFIED:20230911T090152Z
UID:6826-1701993600-1702079999@www.tecosa.center.kth.se
SUMMARY:Trustworthy Edge Computing Workshop at SEC 2023
DESCRIPTION:Join us on Friday 8 December (Stockholm kl.18.00-20.30/local time 9.00-12.30) when TECoSA holds a half-day workshop as part of the  8th ACM/IEEE Symposium on Edge Computing taking place in Wilmington\, DE\, USA from 6-9 December 2023. \nThis will be the third TEC Workshop! Click here for the Programme and Description \n\nTo register\, please go to: https://acm-ieee-sec.org/2023/attend.php\n(Early registration deadline: 15 Nov 2023)
URL:https://www.tecosa.center.kth.se/event/trustworthy-edge-computing-workshop-at-sec-2023/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231124T120000
DTEND;TZID=UTC:20231124T130000
DTSTAMP:20231109T131229Z
CREATED:20231109T131229Z
LAST-MODIFIED:20231109T131229Z
UID:6965-1700827200-1700830800@www.tecosa.center.kth.se
SUMMARY:TECoSA Research Seminar: Learn and Align RL Policies from Human Feedback
DESCRIPTION:Speaker: Daniel Simões Marta\, TECoSA PhD student\n(Venue\, Zoom link and sign-up link circulated to members)\nPlease email vickid@kth.se if you have any questions. \nABSTRACT: Reinforcement learning from informed by human feedback (RLHF) has emerged as a novel domain in machine learning\, where human insights are crucial in shaping the behavior of an AI agent. Within this domain\, a significant strategy is preference-based reinforcement learning\, in which a human-informed reward system is developed through the evaluation and selection among different sets of action sequences. In this talk\, I will present several works conducted by our group on aligning RL policies with human feedback. I will primarily focus on aligning relevant features such as safety and perceived safety—even though the work can be extended to any desired feature—and will discuss the application of these principles in the context of RL policies. Additionally\, I will provide concrete examples of leveraging human intrinsic knowledge through methods such as ranking\, stating preferences\, and analyzing text.
URL:https://www.tecosa.center.kth.se/event/tecosa-research-seminar-learn-and-align-rl-policies-from-human-feedback/
CATEGORIES:Seminar,Talks,webinar
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BEGIN:VEVENT
DTSTART;TZID=UTC:20231121T093000
DTEND;TZID=UTC:20231122T170000
DTSTAMP:20230919T080748Z
CREATED:20230509T063529Z
LAST-MODIFIED:20230919T080748Z
UID:6465-1700559000-1700672400@www.tecosa.center.kth.se
SUMMARY:SCSSS 2023 – Scandinavian Conference on System & Software Safety
DESCRIPTION:System and software safety in electronic systems is becoming increasingly important in many industries and in critical societal infrastructure. The systems become ever more complex\, connected and autonomous and the software continues to grow. This poses many challenges even for mature organizations\, requiring approaches that go beyond established best practices. Many organizations face the same kind of challenges and thus sharing of experiences becomes essential. \nThis year’s event takes place in Stockholm from 21-22 November. Acknowledged as a central meeting place for Scandinavian safety experts from different industries\, the SCSSS is an opportunity to share experiences and make new contacts. There will be an overview day followed by a day of parallel sessions with in depth presentations and discussions about different challenges\, techniques\, standards and methods. This year’s keynotes are Nancy Leveson (MIT)\, Ibrahim Habli (University of York) and Lena Kecklund (MTO Säkerhet AB). \n\n\nSee the conference homepage for more details: http://safety.addalot.se/20223
URL:https://www.tecosa.center.kth.se/event/scsss-2023-scandinavian-conference-on-system-software-safety/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231116T130000
DTEND;TZID=UTC:20231116T150000
DTSTAMP:20231027T081117Z
CREATED:20231027T080926Z
LAST-MODIFIED:20231027T081117Z
UID:6907-1700139600-1700146800@www.tecosa.center.kth.se
SUMMARY:TECoSA Testbeds Demo Session
DESCRIPTION:Due to popular demand\, we will hold a Testbed Demo session for TECoSA members and the IIoT Nordic Network!\nWe open with a welcome to R1\, the historic (and atmospheric) former experimental reactor hall beneath KTH\, followed by a brief overview of the Testbeds and the Demos\, including:\n~ the soft robot\,\n~ the Kvaser car\,\n~ inverted pendulum control\,\n~ and the OpenRtist demos. \nInvitations have been circulated to TECoSA members and special guests.  If you’re interested but not on that list\, please contact Martin Törngren (martint@kth.se).\nTECoSA PhD student Samie Mostafavi \nThe TECoSA Testbeds were inaugurated on 1 September 2023.  You can read more about that here: https://www.tecosa.center.kth.se/2023/09/15/tecosas-new-testbed-environments-show-tomorrows-digital-infrastructures/ \n  \n 
URL:https://www.tecosa.center.kth.se/event/tecosa-testbeds-demo-session/
CATEGORIES:Demo Session
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BEGIN:VEVENT
DTSTART;TZID=UTC:20231102T150000
DTEND;TZID=UTC:20231102T160000
DTSTAMP:20231023T084022Z
CREATED:20230822T092154Z
LAST-MODIFIED:20231023T084022Z
UID:6811-1698937200-1698940800@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Learning Optimal Edge Processing with Offloading and Energy Harvesting
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 guest speaker for November is Francesco De Pellegrini\, Professor of networking and AI at the University of Avignon\, France.  The seminar will take place via Zoom (https://kth-se.zoom.us/j/66857695267). \nABSTRACT:  Modern portable devices can execute increasingly sophisticated AI models on sensed data. The complexity of such processing tasks is data-dependent and has relevant energy cost. This work develops an Age of Information markovian model for a system where multiple battery-operated devices perform data processing and energy harvesting in parallel. Part of their computational burden is offloaded to an edge server which polls devices at given rate. The structural properties of an optimal policy for a single device-server system are derived. They permit to define a new model-free reinforcement learning method specialized for monotone policies\, namely Ordered Q-Learning\, providing a fast procedure to learn the optimal policy. The method is oblivious to the devices’ battery capacities\, the cost and the value of data batch processing and to the dynamics of the energy harvesting process. Finally\, the polling strategy of the server is optimized by combining this policy improvement technique with stochastic approximation methods. Extensive numerical results provide insight into the system properties and demonstrate that the proposed learning algorithms outperform existing baselines. \nBIO: Francesco De Pellegrini received the MSc 2000\, and the Ph.D. 2004\, in Information Engineering at the University of Padova\, Italy. He is currently full professor at the University of Avignon\, where he teaches networking and artificial intelligence  He has published 100+ papers in major conferences and journals of computer science\, networking and control theory. He applies algorithms on graphs\, stochastic and control\, and game theory for the design and perfomance evaluation of wireless and wired networked systems. He has co-authored two best papers\, published in WiOPT 2014 and at NetGCoop 2016. His current H-index (Google) is 30 with 7000+ citations. He is anassociated editor for TNSE. He has been general co-chair of IEEE NETGCOOP 2012 and IEEE WIOPT2022\, and TPC Co-Chair of IEEE NETGCOOP 2014\, IEEE WIOPT 2018 and ITC 2021.
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-learning-optimal-edge-processing-with-offloading-and-energy-harvesting/
CATEGORIES:Seminar,Talks,webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231027T120000
DTEND;TZID=UTC:20231027T130000
DTSTAMP:20231109T131300Z
CREATED:20231017T070710Z
LAST-MODIFIED:20231109T131300Z
UID:6892-1698408000-1698411600@www.tecosa.center.kth.se
SUMMARY:TECoSA Research Seminar: Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge
DESCRIPTION:Speaker: Vishnu Narayanan Moothedath\, TECoSA PhD student\nVenue\, Zoom link and sign-up link circulated to members\nPlease email vickid@kth.se if you have any questions. \nABSTRACT: We consider a resource-constrained Edge Device (ED)\, such as an IoT sensor or a microcontroller unit\, embedded with a small-size ML model (S-ML) for a generic classification application\, and an Edge Server (ES) that hosts a large-size ML model (L-ML). Since the inference accuracy of S-ML is lower than that of the L-ML\, offloading all the data samples to the ES results in high inference accuracy\, but it defeats the purpose of embedding S-ML on the ED and deprives the benefits of reduced latency\, bandwidth savings\, and energy efficiency of doing local inference. In order to get the best out of both worlds\, i.e.\, the benefits of doing inference on the ED and the benefits of doing inference on ES\, we explore the idea of Hierarchical Inference (HI)\, wherein S-ML inference is only accepted when it is correct\, otherwise the data sample is offloaded for L-ML inference. However\, the ideal implementation of HI is infeasible as the correctness of the S-ML inference is not known to the ED. We thus propose an online meta-learning framework that the ED can use to predict the correctness of the S-ML inference. In particular\, we propose to use the probability corresponding to the maximum probability class output by S-ML for a data sample and decide whether to offload it or not. The resulting online learning problem turns out to be a Prediction with Expert Advice (PEA) problem with continuous expert space. We consider two scenarios\, a full feedback scenario\, where the ED receives feedback on the correctness of the S-ML once it accepts the inference\, and a no-local feedback scenario. We propose the HIL-F and HIL-N algorithms and prove that both of them has sublinear regret bounds without any assumption on the smoothness of the loss function. We evaluate and benchmark the performance of the proposed algorithms for image classification application using different datasets.
URL:https://www.tecosa.center.kth.se/event/tecosa-research-seminar-getting-the-best-out-of-both-worlds-algorithms-for-hierarchical-inference-at-the-edge/
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20231005T150000
DTEND;TZID=UTC:20231005T160000
DTSTAMP:20230817T102238Z
CREATED:20230817T102203Z
LAST-MODIFIED:20230817T102238Z
UID:6775-1696518000-1696521600@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Configuration of Dependable Edge Computing Platforms for Virtualized Critical Control Applications
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 October seminar is with Prof Paul Pop\, Head of the Embedded Systems Engineering section at DTU Compute\, DTU Technical University of Denmark.  The session will be given via Zoom (https://kth-se.zoom.us/j/66857695267). \nABSTRACT: Edge Computing offers a unified platform where applications of varying criticality coexist. Critical control applications\, characterized by their periodic hard real-time tasks and stringent timing and safety requisites\, share the same platform with Edge applications which are aperiodic and non-critical. As we advance towards Industry 4.0 and embrace Time-Sensitive Networking (TSN)\, the integration of traditional systems like Programmable Logic Controllers (PLCs) with cyber-physical systems via virtualization is paramount. The talk presents the problem of configuring of dependable Edge Computing Platforms (ECPs) for virtualized critical control applications. The configuration poses an optimization challenge aiming to harmonize critical control and Edge applications. We discuss solutions to the placement of virtual PLCs in ECPs and the routing of TSN traffic in industry-based networks\, as well as solutions to facilitate an ECP’s extensibility for adding future control applications without exhaustive re-certification\, also supporting the hosting of multiple dynamic Edge applications. \nBIO:  Paul Pop is a Professor of Cyber-Physical Systems at DTU Compute\, Technical University of Denmark (DTU). He has received his Ph.D. degree in computer systems from Linköping University in 2003. His research is focused on developing methods and tools for the analysis and optimization of networked dependable cyber-physical systems. In this area\, he has published over 150 peer-reviewed papers\, three books\, and seven book chapters. He has served as a technical program committee member on several conferences\, such as DATE and ESWEEK. He has received the Best Paper Award at DATE 2005\, RTIS 2007\, CASES 2009\, MECO 2013\, DSD 2016\, ETFA 2020\, and an outstanding paper award at RTNS 2022. He is the coordinator of the Nordic University Hub on Industrial IoT has coordinated the European Training Network on Fog Computing for Robotics and Industrial Automation.
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-connfiguration-of-dependable-edge-computing-platforms-for-virtualized-critical-control-applications/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230929T120000
DTEND;TZID=UTC:20230929T130000
DTSTAMP:20230821T114938Z
CREATED:20230821T114938Z
LAST-MODIFIED:20230821T114938Z
UID:6797-1695988800-1695992400@www.tecosa.center.kth.se
SUMMARY:TECoSA Research Seminar: Explainable Reinforcement Learning for Telecom
DESCRIPTION:Speakers:  Industrial PhD students Ahmad Terra (TECoSA\, Ericsson) and Franco Ruggeri (Ericsson)\nLocation: C435\, Brinellvägen 85 (plan 4)\nZoom link and sign-up link circulated to members\nPlease email vickid@kth.se if you have any questions. \nABSTRACT: Explainable Reinforcement Learning (XRL) primarily to provide explainability for black-box models to enable trust. XRL includes multiple methods applied to different elements of RL agent (state\, rewards\, policy explanations\, etc.). This seminar will present multiple existing state-of-the-art XRL methods\, their application to different elements especially to the remote electrical antenna tilt (RET) use case. Additionally\, the seminar includes a new method “Both Ends Explanations for RL (BEERL)” that goes one-step further to connect and compare input and output explanations\, identify and mitigate bias\, and generates two different levels of explanation which in turn allows RL agent re-configurations when unwanted behaviours are observed.
URL:https://www.tecosa.center.kth.se/event/tecosa-research-seminar-explainable-reinforcement-learning-for-telecom/
CATEGORIES:Talks
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230920
DTEND;VALUE=DATE:20230923
DTSTAMP:20230224T105618Z
CREATED:20230224T105618Z
LAST-MODIFIED:20230224T105618Z
UID:5707-1695168000-1695427199@www.tecosa.center.kth.se
SUMMARY:Nordic Systems Engineering Tour\, Autumn 2023
DESCRIPTION:Organised by the 5 Nordic Chapters of INCOSE – Norway\, Denmark\, Sweden\, Finland and Germany.\nThe  programme is being developed and will be published at \nhttps://www.nordic-systems-engineering-tour.com/
URL:https://www.tecosa.center.kth.se/event/nordic-systems-engineering-tour-autumn-2023/
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