Dimitrios Diochnos

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Dimitrios Diochnos

Assistant Professor

Email: diochnos@ou.edu
Phone: (405) 325-2978
Office: Devon Energy Hall Room 230

Website: www.diochnos.com

Education
Ph.D., Mathematics
University of Illionois at Chicago

MS, Mathematics
University of Athens

BS, Informatics and Telecommunication
University of Athens

Research Focus

Supervised Learning
Semi-Supervised Learning
Adversarial Learning
Imbalanced Data
Randomized Search Heuristics

Experience and Awards

Assistant Professor, University of Oklahoma
Hobby Postdoctoral Research Associate, University of Virginia
Postdoctoral Research Associate, University of Edinburgh
Managing Associate Editor, Annals of Mathematics and Artificial Intelligence (AMAI), 2024.
Associate Editor, Annals of Mathematics and Artificial Intelligence (AMAI), 2022-now.
Area Chair: NeurIPS 2024.
Program Committee: NeurIPS 2019–2023, ICML 2020–2025, CVPR 2024, AAAI 2018, 2021–2025, ECAI 2023, IJCAI 2016, 2017, 2019, AAMAS 2021, 2022, NLDL 2025, CAI 2024, CEC 2023, WCCI 2022, ISAIM 2016, 2018, 2020, 2024, ACMSE 2021–2024, TAPIA 2022.
Regular Reviewer for Journal: TMLR 2022–now.
NeurIPS 2023 Top Reviewers
NeurIPS 2019 Top Reviewers
IJCAI-16 Quality Reviewing
NSF Reviewer 2022.
Publicity Chair: ISAIM 2012–2024.
Organizing Committee: Symposium on AI & ML at OU 2019, 2020. - Webmaster Workshop on Graph Theory & Combinatorics in Memory of Uri Peled, UIC, 2010. Also at ISAIM 2012–2024 (biennial).
Scientific Committee: International Olympiad in Informatics 2004.
Hobby Postdoctoral Research Fellowship, University of Virginia, 2015 - 2019
Teaching Award, Fall 2009, MCS 260 - Introduction to Computer Science
Chancellor's Graduate Research Fellowship, University of Illinois at Chicago, 2010 & 2011
Fellowship for Undergraduate Studies, Zossima Brothers Foundation, 1998 - 2003

Biography

Dr Dimitrios Diochnos is an assistant professor in the School of Computer Science at the University of Oklahoma (OU). Prior to joining OU, he worked as a Hobby postdoctoral research fellow at the Department of Computer Science of the University of Virginia. Earlier he held a research associate position at the University of Edinburgh. He received his PhD degree from the Department of Mathematics, Statistics, and Computer Science at the University of Illinois at Chicago. He received his MS degree from the Department of Mathematics at the University of Athens, Greece. He received his BS degree from the Department of Informatics and Telecommunications at the University of Athens, Greece.

The main areas of his research are in the theoretical and practical aspects of supervised learning with emphasis on machine learning models that operate on noisy/adversarial data. Dr Diochnos is currently working on semi-supervised learning techniques, online/streaming learning, and on theoretical foundations of imbalanced classification problems. Dr Diochnos is also interested in randomized search heuristics and their effectiveness in learning with formal guarantees. In the past Dr Diochnos has also worked in reasoning with knowledge bases as well as in symbolic computation.

The work of Dr Diochnos has appeared in top conferences such as NeurIPS, ALT, AAAI, SDM, ICMLA, FUN, and EuroGP, or top journals such as the Journal of Artificial Intelligence Research, the Annals of Mathematics and Artificial Intelligence, Information Processing Letters, and the Journal of Symbolic Computation.

Dr Diochnos has served as a member of the program committee in major artificial intelligence venues such as NeurIPS, AAAI, and IJCAI. He has also served as a reviewer in top venues such as SODA, ICALP, and AAMAS, or top journals such as SIAM Journal on Discrete Mathematics, Discrete Applied Mathematics, and Annals of Mathematics and Artificial Intelligence. Since 2012 he has served as the publicity chair for the biennial International Symposium on Artificial Intelligence and Mathematics (ISAIM). Since 2022 he is serving as an Associate Editor in the journal Annals of Mathematics and Artificial Intelligence. During 2024 he also served as Managing Associate Editor on the same journal. In 2020 Dr Diochnos was also a co-editor on a special issue of the Annals of Mathematics and Artificial Intelligence journal that was devoted to ISAIM 2018. Finally, Dr Diochnos has also served as a member of the international scientific committee for the International Olympiad in Informatics that was held in Athens (Greece) in 2004.

Selected Publications

Amy McGovern, Imme Ebert-Uphoff, Elizabeth A. Barnes, Ann Bostrom, Mariana G. Cains, Phillip Davis, Julie L. Demuth, Dimitrios I. Diochnos, Andrew H. Fagg, Philippe Tissot, John K. Williams, Christopher D. Wirz. AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography. AI Magazine 45(1): 105-110, 2024.
Jose E. Aguilar Escamilla and Dimitrios I. Diochnos. Perceptrons Under Verifiable Random Data Corruption. 9th International Conference on Machine Learning, Optimization, and Data Science (LOD), Grasmere, Lake District, England - UK, LOD 2023: 93-103, 2023.
Conner Flansburg, Dimitrios I. Diochnos. Wind Prediction under Random Data Corruption (Student Abstract). 36th AAAI Conference on Artificial Intelligence (AAAI), Online: 12945-12946, 2022.
Pantia-Marina Alchirch, Dimitrios I. Diochnos, Katia Papakonstantinopoulou. Evolving Monotone Conjunctions in Regimes Beyond Proved Convergence. 25th European Conference on Genetic Programming (EuroGP): 228-244, 2022.
Dimitrios I. Diochnos. On the Evolvability of Monotone Conjunctions with an Evolutionary Mutation Mechanism. Journal of Artificial Intelligence Research (JAIR) 70: 891-921, 2021.
Dimitrios I. Diochnos, Theodore B. Trafalis. Learning Reliable Rules under Class Imbalance. SIAM International Conference on Data Mining (SDM), Online, 2021: 28-36, 2021.
Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody. Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure. 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, AAAI 2019: 4536-4543, 2019.
Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody. Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution. 32nd Conference on Neural Information Processing Systems (NeurIPS), Montréal, Canada, NeurIPS 2018: 10380-10389, 2018.
Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody. Learning under p-Tampering Attacks. 29th International Conference on Algorithmic Learning Theory (ALT), Lanzarote, Spain, ALT 2018: 572-596, 2018.
Dimitrios I. Diochnos. On the Evolution of Monotone Conjunctions: Drilling for Best Approximations. 27th International Conference on Algorithmic Learning Theory (ALT), Bari, Italy, ALT 2016: 98-112, 2016.
Dimitrios I. Diochnos, Robert H. Sloan, György Turán. On multiple-instance learning of halfspaces. Information Processing Letters, 112(23): 933–936, 2012.
Dimitrios I. Diochnos. Leveling-Up in Heroes of Might and Magic III. 5th International Conference on Fun with Algorithms (FUN), Ischia Island, Italy, FUN 2010: 145–155, 2010.
Dimitrios I. Diochnos and György Turán. On Evolvability: The Swapping Algorithm, Product Distributions, and Covariance. 5th Symposium on Stochastic Algorithms, Foundations and Applications (SAGA), Sapporo, Japan, SAGA 2009: 74–88, 2009.
Dimitrios I. Diochnos, Ioannis Z. Emiris, Elias P. Tsigaridas. On the asymptotic and practical complexity of solving bivariate systems over the reals. Journal of Symbolic Computation, 44(7): 818–835, 2009.