Dimitrios I. Diochnos (Preferred)
Dimitris Diochnos
Dimitrios Diochnos
Dimitrios I. Diochnos
Associate Professor, Computer Science, University of Oklahoma
Assistant Professor, Computer Science, University of Oklahoma
Joined
April 2020
Names
,
,
Emails
****@virginia.edu (Confirmed)
****@gmail.com (Confirmed)
****@ou.edu (Confirmed)
****@gmail.com (Confirmed)
****@math.uic.edu
****@uic.edu
****@di.uoa.gr
****@gmail.com (Confirmed)
Personal Links
Career & Education History
Associate Professor
Computer Science, University of Oklahoma (ou.edu)
2026 – Present
Assistant Professor
Computer Science, University of Oklahoma (ou.edu)
2019 – 2026
Postdoc
Computer Science, University of Virginia (virginia.edu)
2015 – 2019
Postdoc
School of Informatics, University of Edinburgh (inf.ed.ac.uk)
2013 – 2015
PhD student
Mathematics, Statistics, and Computer Science, University of Illinois, Chicago (uic.edu)
2007 – 2013
Advisors, Relations & Conflicts
Expertise
semi-supervised learning
2022 – Present
trustworthy machine learning
2021 – Present
imbalanced datasets
2020 – Present
explainable machine learning
2018 – Present
adversarial machine learning
, adversarial examples
, poisoning attacks
2017 – Present
computational learning theory
2011 – Present
evolvability
, evolutionary algorithms
, statistical queries
2009 – Present
knowledge bases
, reasoning
, interpretability
2018 – 2021
knowledge bases
, reasoning
2011 – 2015
Publications
Co-Authors
- Alethia Hume
- Amy McGovern
- Andrew H. Fagg
- Ann Bostrom
- Christopher D. Wirz
- Conner Flansburg
- Daniele Miorandi
- Elias P. Tsigaridas
- Elizabeth A. Barnes
- Erencem Ozbey
- Fausto Giunchiglia
- Frederick Hoffman
- Guillermo R. Simari
- Guillermo Ricardo Simari
- Gyorgy Turan
- Gábor Berend
- Hong Linh Truong
- Iacopo Carreras
- Imme Ebert-Uphoff
- Ioannis Z. Emiris
- Jay C. Rothenberger
- Jay Rothenberger
- John K. Williams
- Jose E. Aguilar Escamilla
- Julie L. Demuth