Our chair has a large number of topics opened for the master/Diplom students. Feel free to contact with:

• Security Engineering (Dr. Feng Cheng)
  • Big Data Security Analytics (Data Engineering and Data Science for Cybersecurity)
    • Unified and Intuitive Serving for NextGen SIEMs (Data Engineering)
    • High-Performance Event Streaming for Security Analytics (Data Engineering)
    • Deep Learning Architectures for Security Analytics (Data Engineering)
    • Online Signature Matching and Correlation Engine (Data Engineering & Science)
    • In-Stream Advanced Analytics (Data Engineering & Science)
    • Intrusion Detection with Machine Learning (Data Science)
    • Graph Analytics for Threat Detection (Data Science)
    • Deep Learning-based Anomaly Detection (Data Science)
    • Predictive Analytics for Threat Detection (Data Science)
    • Malicious Process (Anomaly) Detection in Windows Process Logs  (Data Science)
    • DGA Detection via Proxy and DNS Logs  (Data Science)
    • Typosquatting Detection  (Data Science)
  • Advanced Cyber Attacks and Defense
    • Zero Day Vulnerability Collection
    • Attack Graph Construction using Unified Data
    • Security of IoT Devices and Applications
    • Next-Gen Authentication and Secure Identity Management
  • Security Awareness
    • Identify and Prevent Password Reuse
    • Advanced Capture the Flags
    • Virtualization for Security Lab Generator
• Knowledge Engineering
  • Learning Engineering and openHPI (Dr. Thomas Staubitz)
    • Programming Exercises
      • Collaborative Remote Pair Programming on Programming Assignments in MOOCs
      • Integrating Static Program Analysis in Educational Programming Environments
      • Test-Driven Development in MOOCs with Advanced Test Cases using Reflection and AST
      • Support for CS1 Instructors in MOOCs and High-Schools with a Test Generator for Unit Tests
      • Extending a Web-based Programming Environment with an Integration for Local IDEs
      • Sharing Programming Assignments Through a Standard-compliant Exercise Repository
      • Evaluating Features and Learner Impact of Different Auto Graders in Programming Education
    • AI in Education
      • Evaluating Automated Transcription and Translation Processes
    • Collaboration in Large Scale Learning Environments
      • In-depth Analysis of Student Behaviour Patterns in Team Assignments
      • Integrating Auto-graders or AI-based Assessment to Support Peer Assessment
      • Qualitative Evaluation of Peer Reviews and Assessment Compared to Teacher Feedback and Assessment
      • Auto-grader for Free-form Tasks
    • Gameful Learning
    • Learning Analytics
      • ​​​​​​​Forum Participant Interaction Analysis
      • Fraud-detection and Fraud-prevention in openHPI Exams
    • Mobile Learning
  • Machine Learning and AI (Dr. Haojin Yang)
    • Binary Neural Networks (Joseph Bethge)
      • Progressive Binarization for Accurate Binary Neural Networks
      • Increasing Dimensionality with Generalized Activation Functions in Binary Neural Networks
    • For further possible topics, please contact Dr. Haojin Yang