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I am an Assistant Professor at the School of Computer Science at the University of Oklahoma. I am primarily interested in designing and analyzing machine learning algorithms with rigorous guarantees.
In particular, I have done work on the statistical and computational efficiency of supervised learning algorithms providing complexity or empirical bounds, or computational hardness results, within the context of adversarial supervised learning (different noise models, poisoning attacks, adversarial examples), randomized and local-search heuristic methods (evolvability), multiple-instance learning, and imbalanced data.
During the last couple of years my students and I are investigating semi-supervised learning, learning with streaming data, regularization methods, and related topics.
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Recent Work
My most recent paper is
Meta Co-Training: Two Views are Better than One.
This is joint work with my PhD student
Jay Rothenberger.
The paper has been accepted and will appear at the
European Conference on Artificial Intelligence (ECAI), 2025.
🥇 Meta Co-Training is a semi-supervised learning method that achieves State-of-the-Art performance on
ImageNet-10% and does very well on
ImageNet-1% too.
Last year I had the following papers:
-
AI2ES:
The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography,
The paper describes the work done within AI2ES and is written jointly with the following people: Amy McGovern, Imme Ebert-Uphoff, Elizabeth A. Barnes, Ann Bostrom, Mariana G. Cains, Phillip Davis, Julie L. Demuth, Andrew H. Fagg, Philippe Tissot, John K. Williams.
It appeared in the AI Magazine, Volume 45, Issue 1, 2024. -
ISAIM-2022: international symposium on
artificial intelligence and mathematics,
This was written jointly with Martin Charles Golumbic and Frederick Hoffman with whom we organized the International Symposium on Artificial Intelligence and Mathematics (ISAIM) 2022. This is a foreword written due to the organization of ISAIM 2022.
The foreword appeared in the Annals of Mathematics and Artificial Intelligence (AMAI), Volume 92, pages 1–4, (2024).
News
- August 2023: The ISAIM 2024 website is up and running!
- March 2022: Our work was mentioned in the news of the College of Engineering: https://ouccoe100.blogspot.com/2022/03/ou-school-of-computer-science.html?spref=tw.
There were also announcements on LinkedIn and Facebook. I also mentioned this on my twitter account. - October 2021: The website for the 16th International Symposium on Artificial Intelligence and Mathematics (ISAIM) 2022 is up and running!
- August 2020: The proposal that I was participating and was led by Amy McGovern, has been accepted for funding by the National Science Foundation (NSF); see
here for more details on the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES).
Please also visit the website that we maintain for the institute that has news and related information. There are certainly exciting times ahead of us!
Finally, do not forget to follow the official Twitter account @ai2enviro for receiving the latest information that is related to the institute as soon as this information becomes available.