Vita

Simon Torka earned his Master of Science in Computer Engineering at TU Berlin with a thesis on an anomaly-based intrusion detection system. Prior to this, he completed his Master of Engineering in Event Technology and Management at the Beuth University of Applied Sciences Berlin in 2013 with a thesis on open sound control in the lighting sector. He completed his bachelor's degree in electrical engineering with a focus on communications engineering at the Baden-Württemberg Cooperative State University Karlsruhe in 2010.

Mr Torka has been a research assistant at the Technical University of Berlin since 2020. He deals with LLM for generating secure and executable code, LLM-supported automated and secure Kubernetes-based AI pipelines, works on systems for attack detection on IP and wireless networks and supports the development of an RL system for automated penetration testing.

Translated with DeepL.com (free version)

Research fields

• AI-supported cyber security
• AI-supported attack detection
• LLM-supported, secure AI platforms
• Code generation with LLMs
• Prototype development
• Software and system testing

Skills

• Cybersecurity
• Generative AI
• AI-Pipelines
• Unsupervised Learning
• Deep Learning
• Reinforcement learning

Academic career

• 2010 - Bachelor of Engineering (B. Eng.) Electrical Engineering
• 2013 - Master of Engineering (M. Eng.) Event Technology and Management
• 2019 - Master of Science (M. Sc.) Computer Engineering

Lectures

• SE Autonomous Security
• IV Security Aspects in Software Engineering (Examination assistance)
• IV AI and Cybersecurity (Examination assistance)
• PJ Intelligent Cybersecurity Applications (Examination assistance)