My interests have been recently focused on the following areas:

• My application domains: software debugging, software design, and self-adaptive systems
• My research methods
  • Crowdsourcing: work partitioning, task prediction, and task aggregation.
  • Models and Theories: stochastic processes, probabilistic graphical models, utility theory, voting theory, and causal inference.
  • Tools & Languages: R, Python, Tensorflow, Java

• Prof. Dr. Holger Giese (Human in the loop and Hybrid Crowd-Machine Systems)
• Dr. Matthias R. Brust (Network Science)
• Dr. Leen Lambers (Crowdsourcing Failure Resolution)
• Sona Ghahremani (On-line Learning in Self-Adaptive Systems)