I am an assistant professor at CMU in the Machine Learning and the Computer Science departments. I work in the areas of statistical learning theory and game theory, with a focus on learning from people.

Google Scholar page

nihars [at] cs.cmu.edu
Office: GHC 8211




RESEARCH

My research interests lie in the areas of statistics, machine learning, information theory and game theory, with a focus on human-centered systems. I am presenty particularly excited about developing principled approaches towards improving peer review. Peer review faces a number of critical challenges related to biases, noise, incentives, subjectivity and others. Addressing these challenges is particularly urgent due to the exploding number of submissions in many fields, which is necessitating an increased automation in the peer review process. My research aims to address these important challenges at scale, in a principled and pragmatic manner.


PAST RESEARCH:
     Crowdsourcing (2013-17). Awarded the David J. Sakrison Memorial Prize at UC Berkeley.
     Distributed storage (2009-13). Awarded the IEEE Data Storage Best Paper and Best Student Paper Awards for the years 2011 & 12.



PUBLICATIONS
My Google Scholar page





GROUP
PHD STUDENTS

Jingyan Wang, Robotics Institute, CMU
Ivan Stelmakh, Machine Learning Department, CMU (advised jointly with Aarti Singh)
Charvi Rastogi, CMU (advised jointly with Sivaraman Balakrishnan)



CURRICULUM VITAE
EDUCATION
PUBLICATIONS

HONORS

TECHNICAL SERVICES

WORK EXPERIENCE