on 06-09-2022
The team Paulo C. Bartolomeu (Instituto de Telecomunicações, Portugal), Stefano Marrone (University of Campania, Italy) and Ricardo J. Rodríguez (University of Zaragoza, Spain) are organizing the Special Session: Industrial Cybersecurity Methods and Technologies, in the scope of ETFA 2022.
This Special Session focuses on novel security, safety, and privacy-enhancing technologies for current and future industrial applications.
Industrial cybersecurity has become a key research topic in recent years due to the massive connectivity brought by the Internet of Things and the rise of cyberattacks against industrial assets. While fostering contemporary applications and use cases, ubiquitous Internet access has also exposed legacy operational technologies to new and challenging security threats that must be addressed.
Topics under this session include (but are not limited to)
Security, safety, or privacy-enhancing technologies in industrial systems
Modeling of cybersecurity threats
Applications of distributed ledger technologies/blockchains in Industry 4.0
Self-sovereign identity for M2M and decentralized device-to-device communication
Hardware advances for securing Industrial devices and networks
Quantitative evaluation and/or interconnections among non-functional aspects (e.g., reliability vs. safety, security vs. performance)
Run-time methods and technologies for Complex Event Detection systems
Software engineering methods and techniques for high dependable control systems
Case studies/lessons learned of security, safety, or privacy assessments of industrial systems
The aim of this SS is to bring together researchers, practitioners, and experts from industries that conduct innovative cybersecurity work in related technical fields.
ETFA 2022 is the 27th Annual Conference of the IEEE Industrial Electronics Society (IES) focusing on the latest developments and new technologies in the field of industrial and factory automation. The conference aims to disseminate novel ideas and emerging trends, research results, and practical achievements. ETFA 2022 will be held on September 6-9, 2022, in Stuttgart, Germany.
Photo credits: ETFA 2022
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on 24-07-2022
The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2022 will be a 6-day event (24-29 July 2022), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, important for solving natural language processing problems arising in different application areas.
It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), and Unbabel.
This Summer School addresses mainly researchers and graduate students in the fields of NLP and Computational Linguistics, computer scientists interested in statistics and machine learning, and industry practitioners who desire a more in-depth understanding of these subjects.
No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background in mathematics and programming. A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises.
Important dates
Application Deadline: May 15th
Notification of Admission: June 1st
Summer School: July 24th-29th
To know everything about this event, please visit LxMLS webpage:
http://lxmls.it.pt/2022/
Apply here:
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