The MIDAS affiliate faculty community consists of 340 U-M faculty members from over 60 departments.

Use this box to search by name, department, or other keyword. Use the filters below to search by major data science methodologies or applications.


Filter

Methodologies

Applications

Filter by last name:

  • All
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z

Antonios M. Koumpias

Behavioral tax compliance and health economics

Danai Koutra

Mining and making sense of interconnected or graph data

Anna Kratz

Characteristics and mechanisms of chronic clinical conditions

Aradhna Krishna

Sensory marketing

Kenichi Kuroda

Polymer, antibacterial, antibiotic, antimicrobial, bacteria, drug resistance, peptide

Jaerock Kwon

Artificial Intelligence, autonomous vehicles, machine learning, neural network, robotics

Jeffrey C. Lagarias

Number theory, dynamical systems, optimization

Carl Lagoze

Interoperability in information systems

Ronald Gary Larson

Computer simulations and statistical analysis of transport processes

Walter S. Lasecki

Continuous real-time crowdsourcing and the ‘crowd agent’ model

Ho-Joon Lee

Algorithms and models for multi-dimensional large-scale data

Jon Lee

Nonlinear discrete optimization

Honglak Lee

Machine learning and its applications to artificial intelligence

Sunghee Lee

Cross-cultural research, Minority health, Survey methodology