Hasso-Plattner-Institut
 
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Master Theses: Open Topics

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