I'm a third year Ph.D. student at the University of Minnesota in the Department of
Computer Science and Engineering. My advisor is Maria Gini
and my co-advisor is Arindam Banerjee.
My research interests span many different areas such as Artificial Intelligence,
Machine Learning, Algorithms, Game Theory, and Computational Biology. Currently
I'm interested in prediction with expert advice problems and how algorithms can
be developed for use in multiagent systems when we must consider risk, regret,
and cooperation. I'm also interesting in online convex optimization problems
with applications in portfolio selection.
Online Lazy Updates for Portfolio Selection with Transaction Costs (To Appear)
In Proceedings of the 27th Association for the Advancement of Artificial Intelligence Conference (AAAI 2013).
Authors: 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).
Authors: 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).
Authors: 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)
Duration: June 12, 2013 - August 8, 2013
Principal Investigator: Nicholas Johnson
My Erdös number: 4 (Erdös -> F. Warmuth -> J. Langford -> A. Banerjee)
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.
