Pascal Moyal

Professeur

Contact

pascal.moyal[at]uvsq.fr

tel: +33 1 39 25 30 61

Bâtiment Fermat, bureau 2304, site de Versailles.

I am Full Professor (Professeur des Universités) in mathematics at LMV, Université de Versailles Saint-Quentin, member of the Probability ans Statistics team of LMV.

I am Head of the M1 of Paris-Saclay Math&AS Master program.

I am also

Lecturer in the Parisian Master Program in Operations Research (MPRO) and at at Telecom ParisTech,
Associate Editor of Queuing Systems: theory and Applications,
Scientific expert and consultant for mAIedge.

Previous positions and duties

2018-26: Full Professor at IECL, Université de Lorraine.
2022-26: Head of the Probability and Statistics team of IECL (2022-26);
2020-25: Head of the IMSD Master program (Ingénierie Mathématiques et Sciences des Données) at Université de Lorraine.
2018-23: PI of the ANR Research grant ‘MATCHES‘: Matching Architectures That Connect Heterogeneous users and Efficient healthcare Systems (CE 40), IECL- LORIA- Agence de la Biomédecine – LIP6. End-of-project report. CR_final_court_MATCHES
2007-2014 and 2016-18: Associate Professor (MCF) at LMAC, Université de Technologie de Compiègne;
2014-16: Invited Associate Professor at the IEMS Department, Mc Cormick School of Engineering, Northwestern University.

Research interests

I work in Probability theory and Applied Probability. My research activities focuses on stochastic processes:

Markov modeling,
Weak approximation and convergence,
Random dynamics on graphs and general discrete structures,
Random graphs,
Ergodic theoretical approach,
Reinforcement learning.

My work find their applications in:

Optimization of Healthcare systems;
Performance analysis of Telecommunication networks;
Network modeling;
Epidemiology.

PhD student (current):

Benjamin Canivet (Co-advised with Régine Marchand – IECL).

PhD students (past):

Runbo Su (Co-advised with E. Natalizio – defended July 2024)
Mohammed Habib Diallo Aoudi (Co-advised with V. Robin – defended June 2023)
Jocelyn Begeot (Co-advised with I. Marcovici – defended December 2022)
Youssef Rahme (Defended April 2021)
Eustache Besançon (Co-advised with L. Decreusefond – defended December 2020).

Publications

Google Scholar

Books

Stochastic Modeling and Analysis of Telecom Networks (with L. Decreusefond) ISTE Wiley , 2012.
Modelisation et Analyse Stochastiques des reseaux de Telecommunications (in French) (with L. Decreusefond) Hermes Lavoisier , 2011.

Preprints

Diallo Aoudi, M.H.A., Moyal, P. and Robin, V. Large graph limits of local matching algorithms on Configuration model graphs, under revision.
Jean, L. and Moyal, P. Dynamic programming for the stochastic matching model on general graphs: the case of the `N-graph’, submitted.

Papers in international journals

[36] Comte, C. and Moyal, P. (2026) Arrival control in Quasi-reversible queueing systems: Optimization and Reinforcement learning, Queueing Systems: Theory and Applications, to appear.
[35] Masanet, T., Audry, B., Jacquelinet, C. and Moyal, P. (2026) Toward organ shortage resilient allocation policies using real-time queueing models for liver transplantation, European Journal of Operational Research 328(3), 1054-1067.
[34] Soprano Loto, N., Jonckheere, M. and Moyal, P. (2025). Online matching for the multiclass stochastic block model, Journal of Applied Probability 62(4), 1360-1381.
[33] Moyal, P., Busic, A. and Mairesse, J. (2024). On the sub-additivity of stochastic matching, Queueing systems: Theory and applications 107, 295-339.
[32] Su, R., Riahi, A., Natalizio, E., Moyal, P., Saint-Jore, A. and Song, Y. Q. (2024) Assessing intra-and inter-community trustworthiness in IoT: A role-based attack-resilient dynamic trust management model, Internet of Things: 101213.
[31] Masanet, T. and Moyal, P. (2024) Perfect sampling of stochastic matching models with reneging, Advances in Applied Probability 56(4), 1-32.
[30] Besançon, E., Coutin, L., Decreusefond, L. and Moyal, P. (2024) Diffusive limits of Lipschitz functionals of Poisson measures, Annals of Applied Probability 34(1A), 555-584.
[29] Begeot, J., Marcovici, I. and Moyal, P. (2023) Stability regions of systems with compatibilities, and ubiquitous measures on graphs, Queueing Systems: Theory and Applications 103, 275–312.
[28] Jonckheere, M., Moyal, P., Ramírez, C. and Soprano-Loto, N. (2023) Generalized max-weight policies in stochastic matching , Stochastic Systems 13(1), 40-58.
[27] Diallo Aoudi, M.H.A., Moyal, P. and Robin, V. (2022) Markovian online matching algorithms on large bipartite random graphs, Methodology and Computing in Applied Probability 24, 3195–3225.
[26] Moyal, P. and Perry O. (2022) Many-server limits for service systems with dependent service and patience times , Queueing Systems: Theory and Applications 100, 337-339.
[25] Mairesse, J. and Moyal, P. Moyal, (2022) New frontiers for stochastic matching, Queueing Systems: Theory and Applications 100, 473-475.
[24] Su, R., Riahi Sfar, A., Natalizio, E., Moyal, P. and Song, Y.Q. (2022) Ensure trustworthiness in IoIT/AIoT: a phase-based approach, IEEE Internet of Things magazine 5(2), 84-88,
[23] Moyal, P. and Perry, O. (2022) Stability of parallel server systems, Operations Research 70(4), 2456-2476.
[22] Begeot, J., Marcovici, I., Moyal, P. and Rahme, Y. (2021) A general stochastic matching model on multigraphs, ALEA 18, 1-27.
[21] Rahme, Y. and Moyal, P. (2021) A stochastic matching model on hypergraphs, Advances in Applied Probability 53(4), 951-980.
[20] Moyal, P., Busic, A. and Mairesse, J. (2021) A product form for the general stochastic matching model, Journal of Applied Probability 58(2), 449-468.
[19] Besançon, E., Decreusefond, L. and Moyal, P. (2020) Stein’s method for diffusive limits of queueing processes , Queueing systems: Theory and Applications 95(3-4), 173-201.
[18] Moyal, P. (2019) Coupling in the queue with impatience: case of several servers, Discrete Events Dynamic Systems 29(2), 145-162.
[17] Sfar, A. R., Natalizio, E., Moyal, P., Challal, Y., Chtourou, Z. (2019) « A game theoretic approach for privacy preserving model in IoT-based commercial transportation », IEEE Transactions on Intelligent Transportation Systems 20(12), 4405-4414.
[16] Moyal, P. and Perry, O. (2017) On the instability of matching queues, Annals of Applied Probability 27(6), 3385-3434.
[15] Moyal, P. (2017) A pathwise comparison of parallel queues, Discrete Events Dynamic Systems 27, 573-584,
[14] Bermolen, P., Jonckheere, M. and Moyal, P. (2017) The Jamming constant of uniform random graphs, Stochastic Processes and their Applications 127(7), 2138-2178,
[13] Moyal, P. (2017) On the stability of a class of non-monotonic systems of parallel queues, Discrete Events Dynamic Systems 27(1), 85-107,
[12] Mairesse, J. and Moyal, P. (2016) Stability of the stochastic matching model, Journal of Applied Probability 53(4), 1064-1077,
[11] Bermolen, P., Jonckheere, M., Larroca, F. and Moyal, P. (2016) Estimating the Transmission Probability in Wireless Networks with Configuration Models, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 1(2), Art.9,
[10] Moyal, P. (2015) A generalized backwards scheme for solving non monotonic stochastic recursions, Annals of Applied Probability 25(2), 582-599,
[9] Moyal, P. (2013) On queues with impatience: stability, and the optimality of Earliest Deadline First, Queueing Systems: Theory and Applications 75(2-4), 211-242,
[8] Decreusefond, L., Dhersin, J.S., Moyal, P. and Tran, V.C. (2012) Large graph limit for an SIR process in random network with heterogeneous connectivity, Annals of Applied Probability 22(2), 541-575,
[7] Berczes, T., Georgiadis, S., Limnios, N., Moyal, P., Orosz, P. and Sztrik, J. (2012). « Tool supported modeling of sensor communication networks by using finite-source priority retrial queues », Carpathian Journal of Electronic and Computer Engineering 5, 13-18,
[6] Moyal, P. (2010) The queue with Impatience: Construction of the Stationary Workload under FIFO, Journal of Applied Probability 47(2), 498-512, pdf
[5] Decreusefond, L. and Moyal, P. (2008) A Functional Central Limit Theorem for the M/GI/infinity queue, Annals of Applied Probability 18(6), 2156-2178, pdf
[4] Moyal, P. (2008) Stability of a processor sharing queue with varying throughput, Journal of Applied Probability 45(4), 953-962, pdf
[3] Decreusefond, L. and Moyal, P. (2008) Fluid limit of a heavily loaded EDF queue with impatient customers, Markov Processes and Related fields 14, 131-158,
[2] Moyal, P. (2008) Convex comparison of service disciplines in real time queues, Operation Research Letters, 36(4), 496-499, pdf
[1] Moyal, P. (2007) Stationarity of measure-valued stochastic recursions. Applications to the pure delay system and the SRPT queue, C. R. Acad. Sci. Paris, Ser 1 345, 233-237.pdf

Refereed Proceedings of international conferences

[5] Su, R., Sfar, A. R., Natalizio, E., Moyal, P. and Song, Y. Q. (2023). « A Game Theoretical Model addressing Misbehavior in Crowdsourcing IoT”. 20th IEEE International Conference on Sensing, Communication, and Networking (SECON 2023): 195–203,
[4] Su, R., Riahi Sfar, A., Natalizio, E., Moyal, P. and Song, Y.Q. (2021). « PDTM: Phase-based dynamic trust management for Internet of things. » IEEE Proceedings ICCN 2021: 1-7,
[3] Geogiadis, S., Moyal, P. Berczes, T. and Sztrik, J. (2013). A Fluid Limit for the Engset Model – Applications to retrial queues, Proceedings ICORES 2013 315-320,
[2] Decreusefond, L. and Moyal, P. (2005). Fluid limit of the M/M/1+GI-EDF queue, IEEE Proceedings SAINT’05: 248-251,
[1] Decreusefond, L. and Moyal, P. (2003). Elements for the Study of Stability and Performances in Real-Time Queues, IEEE Proceedings ICT’03: 1124-1132.