Mazen Mohamad

Mazen Mohamad

Researcher at RISE Research Institutes of Sweden

RISE Research Institutes of Sweden

Chalmers University of Technology

Biography

Mazen Mohamad is a researcher at RISE Research Institutes of Sweden. His research interests include Security Assurance of Autonomous Vehicles and the usage of Artificial Intelligence for Cybersecurity.

Interests
  • Security Assurance
  • Autonomous Systems
  • Artificial Intelligence
Education
  • PhD in Computer Science and Engineering, 2023

    University of Gothenburg | Chalmers

  • MSc in Computer Software Engineering, 2016

    Chalmers University of Technology

  • BSc in Information Technology, 2007

    Damascus University

Experience

 
 
 
 
 
RISE Research Institutes of Sweden
Researcher
RISE Research Institutes of Sweden
August 2023 – Present Sweden
 
 
 
 
 
Chalmers University of Technology
Lecturer
Chalmers University of Technology
October 2023 – Present Sweden
 
 
 
 
 
University of Gothenburg
PhD Student
University of Gothenburg
June 2018 – August 2023 Sweden
 
 
 
 
 
Volvo Cars
Business Analyst
Volvo Cars
August 2016 – June 2018 Sweden
 
 
 
 
 
ALTEN Sweden
IT Consultant
ALTEN Sweden
July 2016 – June 2018 Sweden
 
 
 
 
 
Syriatel
Oracle Database Administrator
Syriatel
February 2013 – August 2014 Syria
 
 
 
 
 
TeachArabia
System Analyst
TeachArabia
September 2012 – January 2013 Syria
 
 
 
 
 
Bank of Syria and Overseas
Development Team Lead
Bank of Syria and Overseas
July 2010 – December 2012 Syria
 
 
 
 
 
Syriatel
Development specialist
Syriatel
December 2007 – July 2010 Syria

Projects

RECAP: Cybersecurity for Resilient Energy Communities of the Future
Addressing cyber risks introduced by digital energy sharing in Renewable Energy Communities (RECs). The project strengthens REC resilience in Sweden by integrating AI-based threat detection, risk assessment, and new multi-stakeholder collaboration models for cloud-based energy systems. Partners include RISE, Emulate Energy, Linkoping University, Sectra, and Utvecklingsklustret Energi AB. Funded by Vinnova.
HIVEMIND: Human-centred Collaborative Multi-agent Framework for Software Development
A Horizon Europe project developing a human-centric, AI-powered multi-agent framework to accelerate software development and maintenance. RISE contributes to the development of AI agents for code generation, quality assurance, test generation, maintenance, and deployment, as well as cybersecurity assessment of the solution. The project runs until December 2027 with 13 partners across Europe, funded by the EU with a budget of EUR 4.57M.
PRECISE: AI-Supported Security Chaos Engineering for Resilient Systems
Developing an AI-supported security chaos engineering framework for resilient software-intensive systems critical to aviation, automotive, healthcare, and telecommunications. Project goals include building an AI-powered chaos testing framework, integrating it into DevSecOps workflows, and releasing it as open source. Led by researchers at RISE and funded by Vinnova.
EVIDENT
Developing virtual validation and verification methods for ADAS and autonomous driving features. The project addresses the credibility gap between physical and virtual testing by providing methods for gap analysis and credibility assessment. Partners include RISE, AstaZero, ZEEKR, Einride, University of Gothenburg, and VTI. Funded by Vinnova.
CASUS: Building Security Assurance Cases in Automotive Open Systems
Developing structured security assurance cases for open automotive systems, compliant with ISO/SAE-21434. The project produces security argument documentation and evidence frameworks to support certification of automotive cybersecurity. Funded by Vinnova.
AGRARSENSE
A Horizon Europe project developing smart, digitalized components and systems for sustainable agriculture and forestry. With 52 partners from 15 European countries and a budget of EUR 51M, the project spans seven use cases including precision viticulture, agriculture robotics, and forestry machinery. RISE contributes assessment and validation methods to enable safe and secure autonomous forestry machinery to reach European markets.

Recent Publications

Quickly discover relevant content by filtering publications.
(2025). Leveraging Large Language Models for Cybersecurity Risk Assessment: A Case from Forestry Cyber-Physical Systems. arXiv.

(2025). LLM Company Policies and Policy Implications in Software Organizations. arXiv.

(2025). Challenges of Virtual Validation and Verification for Automotive Functions. SEAA 2025.

DOI

(2025). The Impact of Prompt Programming on Function-Level Code Generation. IEEE TSE.

DOI

Contact

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