I am a CNRS researcher at the Inria/LIG research team POLARIS in Grenoble. My research interests are somewhat eclectic, and they span the interface of game theory, learning and optimization, with a special view toward their applications to machine learning, operations research, and network theory. I’m especially interested in the long-run behavior of game-theoretic learning and optimization algorithms and dynamics – whether they converge, at what speed, and/or what type of non-stationary, off-equilibrium behaviors may arise when they do not.

If you are interested in my background, you can visit my bio page or download my CV.

For my papers and research, go to my publications page (yes, no prizes for imaginative naming there).

If you wish to contact me, you can reach me via e-mail at: firstname.lastname @ imag.fr

There are some prospective openings for people interested in pursuing a PhD or a post-doc on the mathematical side of game theory and optimization, with a view toward their applications to robust machine learning. If you feel like getting your hands dirty, let’s talk!

Grenoble will be hosting the **2023 Alpine Game Theory Symposium**, from June 26 to June 30, 2023. This is going to be a week-long conference with ca. 40 plenary talks on all aspects of game theory (mathematical, economic, algorithmic, etc.). It will be a great opportunity to track some of the most recent advances in game theory and related fields - so mark your calendars!

**Oct. 2022:**Our paper on "*Robust power management via learning and game design*" received the INFORMS best paper award in the network analytics section. Congrats to Zhengyuan, Aris, Nick and Peter!**Sep. 2022:**Two papers accepted at NeurIPS 2022. Links can be found here and here.**May 2022:**Four papers accepted at ICML and COLT 2022, one as a long talk. Links can be found here, here, here, and here.**Mar. 2022:**I gave an overview talk at the workshop on Learning in the Presence of Strategic Behavior at UC Berkeley. A recording of the talk can be found here and the slides are available here.**Feb. 2022:**I gave a tutorial on multi-agent learning at the 2022 annual meeting of the French Operations Research Society. The slides of the tutorial are here and a recording can be found here (the first few minutes are in French, but the rest is in English).**Feb. 2022:**I gave an overview talk at the workshop on Adversarial Approaches to Machine Learning at UC Berkeley. A recording of the talk can be found here and the slides are here.**Jan.–Apr. 2022:**I’ll be visiting UC Berkeley for the thematic semester on Learning and Games organized by the Simons Institute.**Sep. 2021:**Four papers accepted at NeurIPS 2021. Links can be found here, here, here, and here.**May 2021:**Three papers accepted at COLT 2021. Links can be found here, here, and here.**May 2021:**Three papers accepted at ICML 2021, one as a long talk. Links can be found here, here, and here**Nov. 2020:**I will be giving a talk at the Montreal Machine Learning and Optimization seminar on “”.**Spurious attractors in min-max optimization****Update (Jan. 2021):**A video recording of the talk can be found here.**Sep. 2020:**Four papers accepted at NeurIPS 2020, two as spotlights. Links can be found here, here, here, and here.**June 2020:**I will be giving a talk onat a joint session of the One World Optimization Seminar and the One World Mathematical Game Theory Seminar.**Games, Dynamics, and Optimization****Update (July 2020):**A video recording of the talk can be found here.**June 2020:**Three papers accepted at ICML 2020. Links can be found here, here, and here.**Mar. 2020:**I will be giving a tutorial course onin the 2020 French Days on Optimization and Decision Science (Journées SMAI-MODE 2020).**Algorithmic game theory: From multi-agent optimization to online learning****Update (Sep. 2020):**The slides can be found here: Part I, II, and III.**Dec. 2019:**I defended my**Habilitation à Diriger des Recherches****(HDR)**on Dec. 20. My HDR was refereed by Jérôme Bolte, Nicolò Cesa-Bianchi and Sylvain Sorin, and the slides of my defense can be found here.**Dec. 2019:**Our paper with Kimon Antonakopoulos and E. Veronica Belmega was accepted as a spotlight at ICLR 2020.**Nov. 2019:**I will be co-organizing the 2020 edition of NetGCoop in beautiful Cargèse. The CFP can be found here.**Oct. 2019:**New PhD / post-doc openings.**Update (June 2020):**The advertised positions have been filled, but contact me anyway if you are interested in working together.**Sep. 2019:**I will be visiting the LIONS lab at EPFL for the fall semester of 2019.**Sep. 2019:**I will be giving a tutorial on online learning and optimization in the CONNECT summer school on Machine Learning for Communication Systems and Networks.

For the bullet-point version: see my CV.

I am a principal researcher (*chargé de recherche*s) at the French National Center for Scientific Research (CNRS) working with the POLARIS team at the Laboratoire d’Informatique de Grenoble. My research interests lie at the interface of learning, optimization, game theory, and their applications to network science, machine learning, and operations research.

As an undergrad, I majored in physics at the University of Athens. After graduating in 2003, I enrolled in the graduate program of the Mathematics Department of Brown University. While there, I worked on differential geometry with George Daskalopoulos and I got my M.Sc. and M.Phil. in Mathematics in 2005 and 2006 respectively.

My interests subsequently shifted to applied mathematics and theoretical computer science, so I returned to the University of Athens where I started my PhD with Aris Moustakas. During my PhD, I worked on the applications of game theory to network science and I completed my thesis on *“Stochastic perturbations in game theory and applications to networks”* in 2010. Subsequently, I spent 2010–2011 as a post-doc at the École Polytechnique in Paris, working on game theory and learning with Rida Laraki.

Since 2011, I have been a CNRS researcher at the Laboratoire d’Informatique de Grenoble. Over the years, I have also held a number of visiting positions at the LUISS University of Rome (fall 2016), UC Berkeley (spring 2018 and again spring 2022), and EPFL (fall 2019).

In 2019, I completed my Habilitation à Diriger des Recherches (HDR) on *“Online optimization and learning in games: Theory and Applications”*. If you are curious, you can also find here the transcript of my public defense and the referee reports by Jérôme Bolte, Nicolò Cesa-Bianchi, and Sylvain Sorin (to whom I am deeply indebted for their time).

My recent work revolves around game theory, online optimization, and their applications to operations research, machine learning and network theory… and I’m still as liable as ever to drop what I’m doing if presented with a cute little problem!

**Figure:**
Convergence of no-regret learning to strict Nash equilibria vs. avoidance of mixed Nash equilibria (click plot to replay).
The theory can be found here.

Any software on this page is distributed “as is” under the GNU general public license.
**TL;DR:** use at will, let me know if you want to modify the source code, don’t sue me if your computer explodes :-)

Copyrights of the published versions of the papers below belong to the publishers. Essentially, this means that publishing houses get to overcharge academic institutions for access to their employees' research, even though all the work has been carried out, reviewed and edited with no cost to the publishers.

If you want to learn more about this ridiculous system, this 2017 long read by the Guardian has a ton of information on the topic.

If you’re wondering about the numbering scheme, “W” is for working papers and preprints, “J” is for journals, “C” for conference proceedings, “S” for software, and “D” for dissertations. Publications are sorted in (roughly) reverse chronological order, but you can also navigate the various tags to see a list of publications by year, venue, or topic. You can also visit my Google Scholar page or my author pages on arXiv and HAL.

Some papers that received a distinction of one form another can be found here.

K. Lotidis, P. Mertikopoulos, and N. Bambos. Working paper.

W. Azizian, F. Iutzeler, J. Malick, and P. Mertikopoulos. Working paper.

T. Lin, P. Mertikopoulos, and M. I. Jordan. Working paper.

P. Mertikopoulos, Y.-P. Hsieh, and V. Cevher. Working paper.

B. Duvocelle, P. Mertikopoulos, M. Staudigl, and D. Vermeulen. Mathematics of Operations Research, forthcoming.

P. Mertikopoulos and Y. Viossat. Journal of Dynamics and Games, W. H. Sandholm memorial issue, vol. 9, no. 4, pp. 499-528, October 2022.

S. Hadikhanloo, R. Laraki, P. Mertikopoulos, and S. Sorin. Journal of Dynamics and Games, W. H. Sandholm memorial issue, vol. 9, no. 4, pp. 433-460, October 2022.

Z. Zhou, P. Mertikopoulos, N. Bambos, P. W. Glynn, and Y. Ye. Mathematics of Operations Research, vol. 47, no. 3, pp. 2082-2111, August 2022.

Y.-G. Hsieh, F. Iutzeler, J. Malick, and P. Mertikopoulos. Journal of Machine Learning Research, vo. 23, no. 78, pp. 1–49, May 2022.

B. Donassolo, A. Legrand, P. Mertikopoulos, and I. Fajjari. IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 5, pp. 1156–1172, May 2022.

A. Giannou, K. Lotidis, P. Mertikopoulos, and E. V. Vlatakis-Gkaragkounis. In NeurIPS '22: Proceedings of the 36th International Conference on Neural Information Processing Systems, 2022.

Y.-G. Hsieh, K. Antonakopoulos, V. Cevher, and P. Mertikopoulos. In NeurIPS '22: Proceedings of the 36th International Conference on Neural Information Processing Systems, 2022.

M. Costantini, N. Liakopoulos, P. Mertikopoulos, and T. Spyropoulos. In CDC '22: Proceedings of the 61st IEEE Annual Conference on Decision and Control, 2022.

K. Lotidis, P. Mertikopoulos, and N. Bambos. In CDC '22: Proceedings of the 61st IEEE Annual Conference on Decision and Control, 2022.

E. V. Belmega, R. Negrel, and P. Mertikopoulos. In RAWNET '22: Proceedings of the 18th Workshop on Resource Allocation, Cooperation and Competition in Wireless Networks.

K. Antonakopoulos, P. Mertikopoulos, G. Piliouras, and X. Wang. In ICML '22: Proceedings of the 39th International Conference on Machine Learning, 2022.

K. Antonakopoulos, D. Q. Vu, V. Cevher, K. Y. Levy, and P. Mertikopoulos. In ICML '22: Proceedings of the 39th International Conference on Machine Learning, 2022.

M. Martin, P. Mertikopoulos, T. Rahier, and H. Zenati. In ICML '22: Proceedings of the 39th International Conference on Machine Learning, 2022.

M. R. Karimi, Y.-P. Hsieh, P. Mertikopoulos, and A. Krause. In COLT '22: Proceedings of the 35th Annual Conference on Learning Theory, 2022.

B. Roussillon, N. Gast, P. Loiseau, and P. Mertikopoulos. In ALT '22: Proceedings of the 33rd International Conference on Algorithmic Learning Theory, 2022.

R. I. Bot, P. Mertikopoulos, M. Staudigl, and P. T. Vuong. Stochastic systems, vol. 11, no. 2, pp. 112-139, June 2021.

Z. Zhou, P. Mertikopoulos, A. L. Moustakas, N. Bambos, and P. W. Glynn. Operations Research, vol. 69, no. 1, pp. 331–345, January 2021.

D. Q. Vu, K. Antonakopoulos, and P. Mertikopoulos. In NeurIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems, 2021.

A. Giannou, E. V. Vlatakis-Gkaragkounis, and P. Mertikopoulos. In NeurIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems, 2021.

K. Antonakopoulos, T. Pethick, A. Kavis, P. Mertikopoulos, and V. Cevher. In NeurIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems, 2021.

K. Antonakopoulos, and P. Mertikopoulos. In NeurIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems, 2021.

P. Mertikopoulos and M. Staudigl. In CDC '21: Proceedings of the 60th IEEE Annual Conference on Decision and Control.

Y.-G. Hsieh, F. Iutzeler, J. Malick, and P. Mertikopoulos. In CDC '21: Proceedings of the 60th IEEE Annual Conference on Decision and Control.

Y.-G. Hsieh, K. Antonakopoulos, and P. Mertikopoulos. In COLT '21: Proceedings of the 34th Annual Conference on Learning Theory, 2021.

A. Giannou, E. V. Vlatakis-Gkaragkounis, and P. Mertikopoulos. In COLT '21: Proceedings of the 34th Annual Conference on Learning Theory, 2021.

W. Azizian, F. Iutzeler, J. Malick, and P. Mertikopoulos. In COLT '21: Proceedings of the 34th Annual Conference on Learning Theory, 2021.

Y.-P. Hsieh, P. Mertikopoulos, and V. Cevher. In ICML '21: Proceedings of the 38th International Conference on Machine Learning, 2021.

A. Héliou, M. Martin, P. Mertikopoulos, and T. Rahier. In ICML '21: Proceedings of the 38th International Conference on Machine Learning, 2021.

N. Hallak, P. Mertikopoulos, and V. Cevher. In ICML '21: Proceedings of the 38th International Conference on Machine Learning, 2021.

K. Antonakopoulos, E. V. Belmega, and P. Mertikopoulos. In ICLR '21: Proceedings of the 2021 International Conference on Learning Representations, 2021.

P. Mertikopoulos, H. H. Nax, and B. S. R. Pradelski. Working paper.

O. Bilenne, P. Mertikopoulos, and E. V. Belmega. IEEE Transactions on Signal Processing, vol. 68, pp. 6085-6100, October 2020.

Z. Zhou, P. Mertikopoulos, N. Bambos, S. Boyd, and P. W. Glynn. SIAM Journal on Optimization, vol. 30, no. 1, pp. 687-716, March 2020.

R. Colini-Baldeschi, R. Cominetti, P. Mertikopoulos, and M. Scarsini. Operations Research, vol. 68, no. 2, pp. 411–434, March 2020.

P. Mertikopoulos, N. Hallak, A. Kavis, and V. Cevher. In NeurIPS '20: Proceedings of the 34th International Conference on Neural Information Processing Systems, 2020.

L. Flokas, E. V. Vlatakis-Gkaragkounis, T. Lianeas, P. Mertikopoulos, and G. Piliouras. In NeurIPS '20: Proceedings of the 34th International Conference on Neural Information Processing Systems, 2020.

A. Héliou, M. Martin, P. Mertikopoulos, and T. Rahier. In NeurIPS '20: Proceedings of the 34th International Conference on Neural Information Processing Systems, 2020.

Y.-G. Hsieh, F. Iutzeler, J. Malick, and P. Mertikopoulos. In NeurIPS '20: Proceedings of the 34th International Conference on Neural Information Processing Systems, 2020.

A. Alacaoglu, Y. Malitsky, P. Mertikopoulos, and V. Cevher. In ICML '20: Proceedings of the 37th International Conference on Machine Learning, 2020.

A. Héliou, P. Mertikopoulos, and Z. Zhou. In ICML '20: Proceedings of the 37th International Conference on Machine Learning, 2020.

T. Lin, Z. Zhou, P. Mertikopoulos, and M. I. Jordan. In ICML '20: Proceedings of the 37th International Conference on Machine Learning, 2020.

P. Mertikopoulos, H. H. Nax, and B. Pradelski. In EC '20: Proceedings of the 21st ACM Conference on Economics and Computation, 2020.

O. Bilenne, P. Mertikopoulos, and E. V. Belmega. In NetGCoop '20: Proceedings of the 2020 International Conference on Network Games, Control and Optimization, 2020.

K. Antonakopoulos, E. V. Belmega, and P. Mertikopoulos. In ICLR '20: Proceedings of the 2020 International Conference on Learning Representations, 2020.

P. Mertikopoulos. Habilitation à diriger des recherches (HDR) en Informatique et Mathématiques Appliquées, Université Grenoble Alpes, 2019.

I. M. Bomze, P. Mertikopoulos, W. Schachinger, and M. Staudigl. SIAM Journal on Optimization, vol. 29, no. 3, pp. 2100-2127, September 2019.

A. Marcastel, E. V. Belmega, P. Mertikopoulos, and I. Fijalkow. IEEE Transactions on Signal Processing, vol. 67, no. 11, pp. 2987-3000, June 2019.

P. Mertikopoulos and Z. Zhou. Mathematical Programming, ser. A, vol. 173, no. 1-2, pp. 465-507, January 2019.

Y.-G. Hsieh, F. Iutzeler, J. Malick, and P. Mertikopoulos. In NeurIPS '19: Proceedings of the 33rd International Conference on Neural Information Processing Systems, 2019.

K. Antonakopoulos, E. V. Belmega, and P. Mertikopoulos. In NeurIPS '19: Proceedings of the 33rd International Conference on Neural Information Processing Systems, 2019.

M. Staudigl and P. Mertikopoulos. In LSS '19: Proceedings of the 15th IFAC Symposium on Large Scale Complex Systems, 2019.

A. Marcastel, E. V. Belmega, P. Mertikopoulos, and I. Fijalkow. In SPAWC '19: Proceedings of the 2019 IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019.

N. Liakopoulos, A. Destounis, G. Paschos, A. Spyropoulos, and P. Mertikopoulos. In ICML '19: Proceedings of the 36th International Conference on Machine Learning, 2019.

B. Donassolo, I. Fajjari, A. Legrand, and P. Mertikopoulos. In ICC '19: Proceedings of the 2019 IEEE International Conference on Communications, 2019.

P. Mertikopoulos, B. Lecouat, H. Zenati, C.-S. Foo, V. Chandrasekhar, and G. Piliouras. In ICLR '19: Proceedings of the 2019 International Conference on Learning Representations, 2019.

L. Vigneri, G. Paschos, and P. Mertikopoulos. In INFOCOM ’19: Proceedings of the 38th IEEE International Conference on Computer Communications, 2019.

B. Donassolo, I. Fajjari, A. Legrand, and P. Mertikopoulos. In CCNC '19: Proceedings of the 16th IEEE International Conference on Consumer Communications & Networking, 2019.

Z. Zhou, P. Mertikopoulos, N. Bambos, P. W. Glynn, and C. Tomlin. Working paper.

E. V. Belmega, P. Mertikopoulos, R. Negrel, and L. Sanguinetti. Working paper.

P. Mertikopoulos and M. Staudigl. Journal of Optimization Theory and Applications, vol. 179, no. 3, pp 838-867, December 2018.

P. Mertikopoulos and W. H. Sandholm. Journal of Economic Theory, vol. 177, pp. 315-364, September 2018.

P. Mertikopoulos and M. Staudigl. SIAM Journal on Optimization, vol. 28, no. 1, pp. 163-197, January 2018.

M. Bravo, D. S. Leslie, and P. Mertikopoulos. In NeurIPS '18: Proceedings of the 32nd International Conference on Neural Information Processing Systems, 2018.

Z. Zhou, P. Mertikopoulos, S. Athey, N. Bambos, P. W. Glynn, and Y. Ye. In NeurIPS '18: Proceedings of the 32nd International Conference on Neural Information Processing Systems, 2018.

M. Staudigl, R. I. Bot, P. T. Vuong, and P. Mertikopoulos. In NeurIPS '18: Workshop on Smooth Games, Optimization and Machine Learning (SGO&ML).

A. Ward, Z. Zhou, P. Mertikopoulos, and N. Bambos. In CDC '18: Proceedings of the 57th IEEE Annual Conference on Decision and Control, 2018.

Z. Zhou, P. Mertikopoulos, N. Bambos, P. W. Glynn, Y. Ye, J. Li, and F.-F. Li. In ICML '18: Proceedings of the 35th International Conference on Machine Learning, 2018.

M. Leconte, G. Paschos, P. Mertikopoulos, and U. C. Kozat. In INFOCOM '18: Proceedings of the 37th IEEE International Conference on Computer Communications, 2018.

P. Mertikopoulos, C. Papadimitriou, and G. Piliouras. In SODA '18: Proceedings of the 29th annual ACM-SIAM Symposium on Discrete Algorithms, 2018.

M. Bravo and P. Mertikopoulos. Games and Economic Behavior, John Nash Memorial Special Issue, vol. 103, pp. 41-66, May 2017.

P. Mertikopoulos, E. V. Belmega, R. Negrel, and L. Sanguinetti. IEEE Transactions on Signal Processing, vol. 65, no. 9, pp. 2277-2290, May 2017.

J. Kwon and P. Mertikopoulos. Journal of Dynamics and Games, vol. 4, no. 2, pp. 125-148, April 2017.

A. S. Shafigh, P. Mertikopoulos, S. Glisic, and Y. M. Fang. IEEE Transactions on Cognitive Communications and Networking, vol. 3, no. 1, pp. 97-111, March 2017.

S. D'Oro, L. Galluccio, P. Mertikopoulos, G. Morabito, and S. Palazzo. Computer Networks, vol. 115, pp. 29-41, March 2017.

S. Perkins, P. Mertikopoulos, and D. S. Leslie. IEEE Transactions on Automatic Control, vol. 62, no. 1, pp. 379-384, January 2017.

R. Colini-Baldeschi, R. Cominetti, P. Mertikopoulos, and M. Scarsini. In WINE '17: Proceedings of the 13th Conference on Web and Internet Economics, 2017.

Z. Zhou, P. Mertikopoulos, N. Bambos, P. W. Glynn, and C. Tomlin. In NeurIPS '17: Proceedings of the 31st International Conference on Neural Information Processing Systems, 2017.

Z. Zhou, P. Mertikopoulos, N. Bambos, S. Boyd, and P. W. Glynn. In NeurIPS '17: Proceedings of the 31st International Conference on Neural Information Processing Systems, 2017.

J. Cohen, A. Héliou, and P. Mertikopoulos. In NeurIPS '17: Proceedings of the 31st International Conference on Neural Information Processing Systems, 2017.

A. L. Moustakas, P. Mertikopoulos, Z. Zhou, and N. Bambos. In PIMRC '17: Proceedings of the 28th annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017.

Z. Zhou, P. Mertikopoulos, A. L. Moustakas, S. Mehdian, N. Bambos and P. W. Glynn. In GLOBECOM '17: Proceedings of the 2017 IEEE Global Telecommunications Conference, 2017.

Z. Zhou, P. Mertikopoulos, A. L. Moustakas, N. Bambos, and P. W. Glynn. In CDC '17: Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017.

P. Mertikopoulos and M. Staudigl. In CDC '17: Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017.

J. Cohen, A. Héliou, and P. Mertikopoulos. In SAGT '17: Proceedings of the 10th International Symposium on Algorithmic Game Theory, 2017.

Mathematica package for numerical integration and visualization of game dynamics.

P. Mertikopoulos, A. L. Moustakas, and A. Tzanakaki. Working paper.

P. Mertikopoulos and W. H. Sandholm. Mathematics of Operations Research, vol. 41, no. 4, pp. 1297–1324, November 2016.

A. L. Moustakas, P. Mertikopoulos, and N. Bambos. IEEE Transactions on Information Theory, vol. 62, no. 9, pp. 5030-5058, September 2016.

B. Gaujal and P. Mertikopoulos. Probability in the Engineering and Informational Sciences, vol. 30, no. 3, pp. 431-454, July 2016.

P. Mertikopoulos and E. V. Belmega. IEEE Journal on Selected Areas in Communications, vol. 34, no. 4, pp. 743-757, March 2016.

P. Mertikopoulos and Y. Viossat. International Journal of Game Theory, vol. 45, no. 1, pp. 291–320, March 2016.

P. Mertikopoulos and A. L. Moustakas. IEEE Transactions on Signal Processing, vol. 64, no. 1, pp. 5–18, January 2016

A. Marcastel, E. V. Belmega, P. Mertikopoulos, and I. Fijalkow. In NetGCoop '16: Proceedings of the 6th International Conference on Network Games, Control and Optimization, 2016.

P. Mertikopoulos, E. V. Belmega, and L. Sanguinetti. In GlobalSIP '16: Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016.

A. Marcastel, E. V. Belmega, P. Mertikopoulos, and I. Fijalkow. In GLOBECOM '16: Proceedings of the 2016 IEEE Global Telecommunications Conference, 2016.

A. Marcastel, E. V. Belmega, P. Mertikopoulos, and I. Fijalkow. In VTC '16-Fall: Proceedings of the 2016 IEEE Vehicular Technology Conference.

A. S. Shafigh, P. Mertikopoulos, and S. Glisic. In ICC '16: Proceedings of the 2016 IEEE International Conference on Communications, 2016.

I. Stiakogiannakis, P. Mertikopoulos, and C. Touati. Working paper.

R. Laraki and P. Mertikopoulos. SIAM Journal on Control and Optimization, vol. 53, no. 5, pp. 3141–3170, October 2015.

S. D'Oro, P. Mertikopoulos, A. L. Moustakas, and S. Palazzo. IEEE Transactions on Wireless Communications, vol. 14, no. 12, pp. 6536–6549, December 2015.

G. Bacci, E. V. Belmega, P. Mertikopoulos, and L. Sanguinetti. IEEE Transactions on Wireless Communications, vol. 14, no. 9, pp. 4728–4742, September 2015.

P. Coucheney, B. Gaujal, and P. Mertikopoulos. Mathematics of Operations Research, vol. 40, no. 3, pp. 611-633, August 2015.

S. D'Oro, P. Mertikopoulos, A. L. Moustakas, and S. Palazzo. In EUCNC '15: Proceedings of the 2015 European Conference on Networks and Communications, 2015.

I. Stiakogiannakis, P. Mertikopoulos, and C. Touati. In WiOpt '15: Proceedings of the 13th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2015.

E. V. Belmega and P. Mertikopoulos. In VTC '15-Spring: Proceedings of the 2015 IEEE Vehicular Technology Conference.

P. Mertikopoulos and E. V. Belmega. IEEE Journal on Selected Areas in Communications, vol. 32, no. 11, pp. 1987–1999, November 2014.

I. Stiakogiannakis, P. Mertikopoulos, and C. Touati. In Allerton '14: Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing, 2014.

P. Coucheney, B. Gaujal, and P. Mertikopoulos. In ISIT '14: Proceedings of the 2014 IEEE International Symposium on Information Theory, 2014.

S. D'Oro, P. Mertikopoulos, A. L. Moustakas, and S. Palazzo. In WiOpt '14: Proceedings of the 12th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2014.

G. Bacci, E. V. Belmega, P. Mertikopoulos, and L. Sanguinetti. In WiOpt '14: Proceedings of the 12th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2014.

R. Laraki and P. Mertikopoulos. Journal of Economic Theory, vol. 148, no. 6, pp. 2666–2695, November 2013.

P. Mertikopoulos and E. V. Belmega. In ValueTools '13: Proceedings of the 7th International Conference on Performance Evaluation Methodologies and Tools, 2013.

P. Mertikopoulos and A. L. Moustakas. In ICC '13: Proceedings of the 2013 IEEE International Conference on Communications, 2013.

J. Lepping, P. Mertikopoulos, and D. Trystram. In GECCO '13: Proceedings of the 15th ACM Annual Conference on Genetic and Evolutionary Computation, 2013.

P. Mertikopoulos and A. L. Moustakas. In ISIT '13: Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013.

P. Mertikopoulos, E. V. Belmega, A. L. Moustakas, and S. Lasaulce. IEEE Journal on Selected Areas in Communications, vol. 30, pp. 96–106, January 2012.

P. Mertikopoulos. In NetGCoop '12: Proceedings of the 6th International Conference on Network Games, Control and Optimization, 2012.

P. Mertikopoulos, E. V. Belmega, and A. L. Moustakas. In ISIT '12: Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012.

C. Pawlowitsch, P. Mertikopoulos, and N. Ritt. Journal of Theoretical Biology, vol. 287, pp. 1–12, July 2011.

P. Kazakopoulos, P. Mertikopoulos, A. L. Moustakas, and G. Caire. IEEE Transactions on Information Theory, vol. 57, pp. 1984–2007, April 2011.

P. Mertikopoulos, and A. L. Moustakas. In ValueTools '11: Proceedings of the 5th International Conference on Performance Evaluation Methodologies and Tools, 2011.

P. Mertikopoulos, E. V. Belmega, A. L. Moustakas, and S. Lasaulce. In ValueTools '11: Proceedings of the 5th International Conference on Performance Evaluation Methodologies and Tools, 2011.

P. Mertikopoulos and A. L. Moustakas. Annals of Applied Probability, vol. 20, no. 4, pp. 1359–1388, 2010.

P. Mertikopoulos. PhD thesis, University of Athens, 2010.

P. Kazakopoulos, P. Mertikopoulos, A. L. Moustakas, G. Caire. In ITW '09: Proceedings of the 2009 IEEE Information Theory Workshop, 2009.

P. Mertikopoulos and A. L. Moustakas. In GameNets '09: Proceedings of the 1st International Conference on Game Theory for Networks, 2009.

P. Mertikopoulos and A. L. Moustakas. IEEE Journal on Selected Areas in Communications, vol. 26, pp. 1160–1169, September 2008.

N. Dimitriou, P. Mertikopoulos, and A. L. Moustakas. In ICC '08: Proceedings of the 2008 IEEE International Conference on Communications, 2008.

P. Mertikopoulos, A. L. Moustakas, and N. Dimitriou. In WiOpt '08: Proceedings of the 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2008.

P. Mertikopoulos and A. L. Moustakas. In ValueTools '07: Proceedings of the 2nd International Conference on Performance Evaluation Methodologies and Tools, 2007.

P. Mertikopoulos. Major thesis, University of Athens, 2003.

Over the years, I’ve been fortunate enough to work with some amazing people. This page is intended as a gateway to the rest of their work (NB: affiliations may be out-of-date):

- Ahmet Alacaoglu (EPFL)
- Susan Athey (Stanford)
- Giacomo Bacci (Princeton)
- Nicholas Bambos (Stanford)
- Olivier Bilenne (Inria)
- E. Veronica Belmega (ENSEA)
- Immanuel M. Bomze (U. Vienna)
- Radu I. Bot (U. Vienna)
- Stephen Boyd (Stanford)
- Mario Bravo (U. Chile)
- Giuseppe Caire (TU Berlin)
- Volkan Cevher (EPFL)
- Vijay Chandrasekhar (Google)
- Johanne Cohen (CNRS)
- Riccardo Colini-Baldeschi (Facebook)
- Roberto Cominetti (U. Chile)
- Pierre Coucheney (U. Versailles)
- Nikos Dimitriou (U. Athens)
- Bruno Donassolo (Inria)
- Salvatore D’Oro (Northwestern)
- Benoit Duvocelle (U. Maastricht)
- Yuguang (Michael) Fang (U. Florida)
- Ilhem Fajjari (Orange)
- Li Fei-Fei (Stanford & Google)
- Inbar Fijalkow (ENSEA)
- Lampros Flokas (Columbia)
- Laura Galluccio (U. Catania)
- Bruno Gaujal (Inria)
- Savo Glisic (U. Oulu)
- Peter W. Glynn (Stanford)
- Nadav Hallak (Technion)
- Amélie Héliou (Criteo AI Lab)
- Ya-Ping Hsieh (EPFL)
- Yu-Guan Hsieh (Univ. Grenoble Alpes)
- Franck Iutzeler (Univ. Grenoble Alpes)
- Michael I. Jordan (UC Berkeley)
- Ali Kavis (EPFL)
- Pavlos Kazakopoulos (U. Athens)
- Ulaş C. Kozat (Huawei)
- Joon Kwon (Ecole Polytechnique)
- Rida Laraki (CNRS)
- Samson Lasaulce (CNRS)
- Mathieu Leconte (Huawei)
- Arnaud Legrand (CNRS)
- Joachim Lepping (IIT Berlin)
- David Leslie (U. Lancaster)
- Li-Jia Li (Google)
- Thanasis Lianeas (National Technical University of Athens)
- Tianyi Lin (UC Berkeley)
- Jérôme Malick (CNRS)
- Yura Malitsky (EPFL)
- Alexandre Marcastel (ENSEA)
- Matthieu Martin (Criteo AI Lab)
- Saied Mehdian (Stanford)
- Giacomo Morabito (U. Catania)
- Aris L. Moustakas (U. Athens)
- Heinrich H. Nax (ETH Zurich)
- Romain Negrel (ESIEE / LIGM)
- Sergio Palazzo (U. Catania)
- Christos Papadimitriou (UC Berkeley)
- Georgios Paschos (Huawei)
- Christina Pawlowitsch (Sorbonne / Panthéon-Assas)
- Steven Perkins (U. Bristol)
- Georgios Piliouras (Singapore University of Technology and Design)
- Bary Pradelski (CNRS)
- Thibaud Rahier (Criteo AI Lab)
- Nikolaus Ritt (U. Vienna)
- Bill Sandholm (U. Wisconsin-Madison)
- Luca Sanguinetti (U. Pisa)
- Werner Schachinger (U. Vienna)
- Marco Scarsini (LUISS)
- A. Shams Shafigh (U. Oulu)
- Mathias Staudigl (U. Maastricht)
- Giannis Steiakogiannakis (Huawei)
- Claire Tomlin (UC Berkeley)
- Corinne Touati (Inria)
- Denis Trystram (Grenoble INP)
- Anna Tzanakaki (U. Athens)
- Dries Vermeulen (U. Maastricht)
- Luigi Vigneri (Huawei)
- Yannick Viossat (U. Paris-Dauphine)
- Manolis Vlatakis (Columbia)
- Phan Tu Vuong (U. Vienna)
- Yinyu Ye (Stanford)
- Zhengyuan Zhou (NYU Stern)