Mohammad Emtiyaz Khan
Mohammad Emtiyaz Khan (Ph.D.)
Team Leader


  • Team leader
    Emtiyaz Khan
  • Research scientist
    Thomas Moellenhoff
  • Postdoctoral researcher
    Keigo Nishida
  • Postdoctoral researcher
    Hugo Monzon
  • Postdoctoral researcher
    Zhedong Liu
  • Technical staff I
    Peter Nickl
  • Visiting scientist
    Rio Yokota
  • Visiting scientist
    Pierrealain Alquier(Professor, ESSEC Singapore)
  • Visiting scientist
    Joseph Austerweil
  • Student trainee
    Dharmesh Tailor
  • Part-time worker I
    Anita Yang
  • Part-time worker II
    Clement Bazan


Laboratory's photo

Humans, animals, and other living beings have a natural ability to autonomously learn throughout their lives and quickly adapt to their surroundings, but AI lack such abilities. Our goal is to bridge such gaps between the learning of living-beings and AI. We are machine learning researchers with an expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry etc. We work on a variety of learning problems, especially those involving supervised, continual, active, federated, online, and reinforcement learning. Currently, we are developing algorithms which enable computers to autonomously learn to perceive, act, and reason throughout their lives.

Main Research Field
Computer Science
Research Subjects
Machine Learning
Artificial Intelligence
Laboratory Website URL

Introduction Video

Talk by Dr. Ilsang Ohn, a postdoctoral researcher at the University of Notre Dame on Adaptive variational Bayes: Optimality, computation and applications thumbnails
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