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Dr. Dimitrios Diochnos

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Dimitri Diochnos of the School of Computer Science

Dimitrios Diochnos

E-maildiochnos@ou.edu
Web:  www.cs.ou.edu/~diochnos/
Phone:  (405) 325-2319 | Office:  DEH 244

 

 

EDUCATION

PhD, University of Illinois at Chicago

MS, University of Athens

BS, University of Athens

EXPERIENCE

Assistant Professor, University of Oklahoma

Hobby Postdoctoral Research Associate, University of Virginia

Postdoctoral Research Associate, University of Edinburgh

RESEARCH INTERESTS

Artificial intelligence, machine learning, evolution, reasoning with knowledge bases, algorithms and complexity.

BIOGRAPHY

Dr Dimitris 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 focus of his research is on the mathematical foundations of machine learning. He is also interested in artificial intelligence at large and in particular in applications of knowledge-based systems to automated reasoning. His work has appeared in top conferences such as  NeurIPS, ALT, and FUN, or top journals such as Information Processing Letters and Journal of Symbolic Computation. He 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). He is also a co-editor on a special issue of the Annals of Mathematics and Artificial Intelligence journal, devoted to ISAIM 2018. Finally, he has also served as a member of the international scientific committee for the International Olympiad in Informatics in 2004.

FELLOWSHIPS & AWARDS

IJCAI-16 Quality Reviewing

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

SCIENTIFIC ACTIVITIES & SERVICE

Co-Editor: Annals of Mathematics and Artificial Intelligence (AMAI) special issue dedicated to ISAIM 2018.

Program Committee: NeurIPS 2019, AAAI-18, IJCAI-19, IJCAI-17, IJCAI-16, ISAIM 2020, ISAIM 2018, ISAIM 2016.

Reviewer: SIAM Journal on Discrete Mathematics, Discrete Applied Mathematics, Annals of Mathematics and Artificial Intelligence, SODA, AAAI, ICALP, IJCAI, ISAIM, AAMAS, ALENEX, CASC.

Scientific Committee: International Olympiad in Informatics 2004.

Publicity Chair: ISAIM 2020, ISAIM 2018, ISAIM 2016, ISAIM 2014, ISAIM 2012.

Webmaster: Workshop on Graph Theory & Combinatorics in Memory of Uri Peled, University of Illinois at Chicago, 2010.

SELECTED PUBLICATIONS

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.

Michael Rovatsos, Dimitrios I. Diochnos, Zhenyu Wen, Sofia Ceppi, Pavlos Andreadis. SmartOrch: an adaptive orchestration system for human-machine collectives. 32nd ACM Symposium on Applied Computing (SAC), Marrakesh, Morocco, SAC 2017: 37-44, 2017.

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.