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VeriDevOps Research Workshop Series
VeriDevOps Research Workshop V
Time: 9:30-11:30 (CET) June.22th. 2023
Location: Hybrid (online and SÅbo Akademi University, Dept of Information Technologies, Agora building, 3rd fl, behind elevators, Vesilinnantie 5, 20500, Turku, Finland)
Time | Duration | Topic | Presenter | Organization | ||
|---|---|---|---|---|---|---|
9:30 | 20 Min | VeriDevOps Technical Introduction | Andrey Sadovykh | SOFTEAM | ||
9:50 | 20 Min | VeriDevOps Methodology | Andrey Sadovykh | SOFTEAM | ||
10:10 | 20 Min | Security Requirements: extractions and tests recommendations with NLP |
| SOFTEAM | ||
10:30 | 20 Min | An Experiment in Requirements Engineering and Testing using EARS Notation for PLC Systems | Mikael Salari | Mälardalen University | ||
10:50 | 20 Min | Efficient Early Anomaly Detection of Network Security Attacks Using Deep Learning | Tanwir Ahmad | Åbo Akademi University | ||
11:10 | 20 Min | Advanced safety/security monitoring and root cause analysis | Ivan Orefice | Montimage | ||
11:30 | 20 Min | Recap and conclusions |
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Meet the speakers
Ivan is a R&D engineer at Montimage, Paris. He graduated in Computer Science (Cybersecurity Curriculum) at Politecnico di Torino (there I published a coupled of papers) and after working one year for a multinational company in Italy. He moved in Montimage to work strictly with cybersecurity and machine learning topics in the research area.
Dr. Ahmad is a post-Doctoral Researcher at Åbo Akademi University. His research focuses on the exploratory testing of cyber-physical systems. He has proposed different methodologies to efficiently discover faults in systems with multidimensional large input spaces using machine learning and evolutionary algorithms. In his recent work, he utilizes a 1-D convolution neural network for early network attack detection.
Dr. Enoiu is a senior lecturer at Mälardalen University in Västerås, Sweden, primarily affiliated with the Software Testing Laboratory and the Formal Modelling and Analysis groups at the Department of Networked and Embedded Systems. His research interests span software engineering and empirical research, especially how to test, maintain, evolve, and assure high-quality software systems.
Dr. Sadovykh is an innovation consultant and a research project manager in Softeam and an Assistant Professor at Innopolis University. He coordinated SOFTEAM’s research activities of the company covering fields such as model-driven development (MDD) and model-based system engineering (MBSE), Business Process Automation (BPA), Cloud and Big Data in application areas such as eGovernment, eHealth, Space and Agro sectors.
