Krishna Gummadi

Dr. Krishna Gummadi is a tenured Professor and head of the Networked Systems research group at the Max Planck Institute for Software Systems (MPI-SWS) in Germany, holding a Ph.D. in Computer Science and Engineering from the University of Washington, Seattle.

His research focuses on measurement, analysis, and design of complex Internet-scale systems with emphasis on social computing. Key interests include:

• Privacy protection for online data sharing
• Word-of-mouth dynamics for viral information dissemination
• Trustworthiness assessment in crowd-sourced information
• Algorithmic fairness in data-driven decision systems

His work has earned recognition through multiple best paper awards at premier conferences across systems, networking, and social computing domains.

Major honors include:

• ACM COSN Best Paper Award
• ACM/Usenix SOUPS Best Paper Award
• AAAI ICWSM Best Paper Award
• Usenix OSDI Best Paper Award
• ACM SIGCOMM IMC Best Paper Award
• SPIE MMCN Best Paper Award

As research group head at MPI-SWS, he directs investigations into human-algorithmic decision interactions and social system architectures, with recent work examining discrimination in algorithmic systems as highlighted in his 2016 keynote at LIG.