Golnoosh Shahkarami
Scholar

Golnoosh Shahkarami

Google Scholar ID: w2vrFwUAAAAJ
Max-Planck-Institut für Informatik
Algorithmic Game TheoryLearning-Augmented Algorithms
Citations & Impact
All-time
Citations
150
 
H-index
7
 
i10-index
7
 
Publications
12
 
Co-authors
28
list available
Resume (English only)
Academic Achievements
  • Paper 'A Switching Framework for Online Interval Scheduling with Predictions' accepted to AAAI 2026; attended multiple academic conferences and gave talks; served as a PC member for several international conferences.
Research Experience
  • Currently a Ph.D. student at the Max Planck Institute for Informatics, will be a Postdoctoral Researcher jointly at the Max Planck Institute for Informatics and the University of Bremen starting January 2026.
Education
  • Ph.D. student in the Algorithms and Complexity department at the Max Planck Institute for Informatics, supervised by Prof. Kurt Mehlhorn. Holds a B.Sc. in Computer Engineering with a minor in Mathematics from Sharif University of Technology and an M.Sc. in Computer Science from Saarland University and the Max Planck Institute for Informatics.
Background
  • Research interests include algorithmic game theory, fair division, mechanism design, voting, and scheduling. Also interested in developing algorithms that leverage machine-learned predictions to enhance their performance.