I'm a fourth year Ph.D. candidate at the University of Minnesota in the Department of
Computer Science and Engineering. My advisors are
Arindam Banerjee and
Maria Gini. I was a visiting student
last summer at the Australian National University where I was advised by
as part of the NSF 2013 East Asia and Pacific Islands Summer Institutes Fellowship.
I'm broadly interested in Artificial Intelligence and Machine Learning.
In particular, my focus has been on online learning algorithms, online convex
optimization, and adversarial learning models. The application areas I have
worked in are finance (portfolio selection), climate science (forecasting),
and cancer genomics.
Online Lazy Updates for Portfolio Selection with Transaction Costs[pdf]
In Proceedings of the 27th Association for the Advancement of Artificial Intelligence Conference (AAAI 2013).
Puja Das, Nicholas Johnson, Arindam Banerjee
Signed Network Propagation for Detecting Differential Gene Expressions and DNA Copy Number Variations[pdf]
In Proceedings of the 3rd ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB 2012).
Wei Zhang, Nicholas Johnson, Baolin Wu, Rui Kuang
Fast Learning against Adaptive Adversarial Opponents[pdf]
In Proceedings of the Adaptive and Learning Agents Workshop (AAMAS 2012).
Mohamed Elidrisi, Nicholas Johnson, Maria Gini
2013 Council of Graduate Students - Minnesota Student Association Award for Graduate Student Teaching
East Asia and Pacific Summer Institutes for U.S. Graduate Students (EAPSI) Fellowship
Funded by: National Science Foundation (NSF) NSF Award 1311040
Duration: June 12, 2013 - August 8, 2013
Principal Investigator: Nicholas Johnson
The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the University of Minnesota.