Erik Miehling
Scholar

Erik Miehling

Google Scholar ID: mmd29pMAAAAJ
IBM Research
controlreinforcement learninggame theoryartificial intelligence
Citations & Impact
All-time
Citations
616
 
H-index
15
 
i10-index
18
 
Publications
20
 
Co-authors
60
list available
Resume (English only)
Academic Achievements
  • Published several papers, including a paper on evaluating the prompt steerability of LLMs accepted to the pluralistic alignment workshop at NeurIPS 2024, and an attack atlas paper accepted to the red teaming GenAI workshop at NeurIPS 2024. Also served as a program committee member for multiple academic conferences.
Research Experience
  • Currently a Research Scientist in the trustworthy AI group at IBM Research. Previously, a postdoctoral research associate at the Coordinated Science Lab, University of Illinois at Urbana–Champaign, focusing on reinforcement learning, control, and games.
Education
  • Ph.D. in Electrical Engineering and Computer Science from the University of Michigan, under the supervision of Demos Teneketzis; Postdoctoral Research Associate at the Coordinated Science Lab, University of Illinois at Urbana–Champaign, working with Tamer Başar and Cedric Langbort.
Background
  • Primary research interests include multi-agent coordination and alignment, fairness of learning algorithms in sequential decision environments, and human-AI interaction (e.g., via language models). Currently a research scientist at IBM Research.