School of Engineering
Showing 1-10 of 60 Results
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Dahlia Radif
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2018
Current Research and Scholarly InterestsCurrently studying numerical linear algebra, partial differential equations, and software engineering. Planning on studying machine learning, deep learning, computational biology, and robotics. Interested in applications of robotics to medical fields.
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Stephen Ragain
Ph.D. Student in Management Science and Engineering, admitted Autumn 2014
BioStephen Ragain is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
RESEARCH AREA: Operations Research
RESEARCH ABSTRACT:
Stephen works on developing models for discrete choice or rankings. He focuses on choices and rankings made by humans, and try to make my models free of common assumptions that don’t hold for empirical data.
These models can be applied to better understand human preferences and predict human behavior.
Specific datasets he has used include rankings of candidates of elections, favorite types of SUSHI, and modes of transportation used for commuting. -
Hatim A. Rahman
Ph.D. Student in Management Science and Engineering, admitted Autumn 2013
Student Resident Asst, Graduate Life OfficeBioHatim A. Rahman is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
RESEARCH AREA: Work, Technology, and Organization
DISSERTATION TITLE: Understanding Social Dynamics in the Digital Economy and Online Labor Markets
RESEARCH ABSTRACT:
Hatim Rahman's research investigates how algorithms and other forms of artificial intelligence are shaping the future of work. Recent technological advancements are fundamentally transforming our understanding of organizations and labor markets, ushering in the “4th industrial revolution.” Just as scholars have studied the profound impact of mass production and automation on organizations, the goal of my research is to capture the impact of algorithms and artificial intelligence on organizations and labor markets by developing novel theory at the intersection of organizations, technology, and employment relationships. To accomplish these goals, I study how algorithms influence the nature of work and employment relationships in organizations and labor markets. Specifically, in my dissertation, I use unique field data to study how sophisticated algorithms are being used by platform organizations (e.g., Upwork, Uber, TaskRabbit) to disrupt the way people are matched, evaluated, and sorted in online labor markets. I use both qualitative field methods and computational social science techniques in my research.
