Aida Causevic, Senior Lecturer


Aida Causevic is a researcher in Safety-Critical Engineering group since april 2015. She received her PhD title at the Mälardalen University in January 2014 defending her thesis entitled: "Formal Approaches for Behavioral Modeling and Analysis of Design-time Services and Service Negotiations" (LINK).

She has defended her licentiate thesis with the title "Formal Approaches to Service-oriented Design: From Behavioral Modeling to Service Analysis", in June 2011 (LINK).

Aida obtained her master degree from University of Sarajevo and Faculty of Electrical Engineering in 2007. The thesis entitled as "Program Evaluation Using Fuzzy Logic with Bad Smells as Inputs" has been done under DAAD-BiHSP scholarship program and in cooperation of University Sarajevo (B&H) and University Paderborn (GER). Link to the conference paper publication that resulted from the theis.

Her current research includes work on addressing the challenges of security informed autonomous cyber-physical systems. This work is done through The Knowledge Foundation funded project SAFSEC-CPS, Process Industrial IT and Automation funded project RAASS (Risk Analysis of Autonomous System of Systems) and ECSEL JU SafeCop (Safe Cooperating Cyber-Physical Systems using Wireless Communication) in close collaboration with industry, with companies such as Volvo Construction Equippment, ABB Robotics and Knightec AB.

She also serves as a program committee member for Embedded Conference Scandinavia since 2016. In 2018 she participated in Science@MDH, an event that aims at presenting research conducted at MDH to high school students in Sörmland och Västmanland. In her presentation she talked about the need for a systematic and structured way of addressing both functional safety and cybersecurity.

In her post doc period she has been involved in research on addressing security challenges in wireless sensor networks for health within ESS-H profile (LINK).

During her PhD studies Aida has been working on developing adequate methods and tools for specification, modeling, and formal analysis of services and service compositions in Service-Oriented Systems (SOS). First part of the doctoral studies has been conducted under FP7 Q-ImPreSS (Quality Impact Prediction for Evolving Service-Oriented Software) project, with aim at bringing service orientation to critical software systems, such as industrial production control, telecommunication, and critical enterprise applications.

The second part of her PhD studies has been carried out within the "Contract-Based Components for Embedded Software - CONTESSE" project. The aim of the project has been to advance state of the art in component- and model-based software development by improving prerequisites for efficient reuse of components via well defined contracts.

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Latest publications:

Towards a Framework for Safe and Secure Adaptive Collaborative Systems (Jul 2019)
Aida Causevic, Alessandro Papadopoulos, Marjan Sirjani
The 9th IEEE International Workshop on Industrial Experience in Embedded Systems Design (IEESD 2019)

Investigating Attack Propagation in a SoS via a Service Decomposition (Jul 2019)
Elena Lisova, Jamal El Hachem , Aida Causevic
IEEE SERVICES Workshop on Cyber Security and Resilience in the Internet of Things (CSR 2019)

On Incorporating Security Parameters in Service Level Agreements (May 2019)
Aida Causevic, Elena Lisova, Mohammad Ashjaei, Syed Usman Ashgar
The 9th International Conference on Cloud Computing and Services Science (CLOSER2019)

Safety and Security Co-Analyses: A Systematic Literature Review (Dec 2018)
Elena Lisova, Irfan Sljivo, Aida Causevic
IEEE Systems Journal 2018 (ISJ-2018)

Towards Security Case Run-time Adaptation by System Decomposition into Services (Oct 2018)
Elena Lisova, Aida Causevic
44th Annual Conference of the IEEE Industrial Electronics Society (IECON'18)

Incorporating Attacks Modeling into Safety Process (Sep 2018)
Amer Surkovic, Dzana Hanic, Elena Lisova, Aida Causevic, Kristina Lundqvist, David Wenslandt , Carl Falk
6th International Workshop on Assurance Cases for Software-intensive Systems (ASSURE 2018)

PhD students supervised as assistant supervisor:

Björn Leander