Publications


🔹Refereed Papers:

[6]  F Ciucu, SM: 

On The Distribution of Sojourn Times in Tandem Queues

ACM SIGMETRICS 2025

Proceedings of the ACM on Measurement and Analysis of Computing Systems, Volume 9 (2), Article No. 27, pp. 1-34

DOI: 10.1145/3727140


[5']  F Ciucu, SM, A Rizk:

On Ultra-Sharp Queueing Bounds

IEEE INFOCOM 2024

IEEE Conference on Computer Communications, Vancouver, BC, Canada, 2024, pp. 1980-1988

DOI: 10.1109/INFOCOM52122.2024.10621177


[5]  F Ciucu, SM, A Rizk: 

On Ultra-Sharp Queueing Bounds

ACM SIGMETRICS Performance Evaluation Review 51 (2), pp. 27-29

DOI: 10.1145/3626570.3626581

  

[4]  SM, F Ciucu: 

On a Continuous-Time Martingale and Two Applications

ACM MobiHoc 2023

Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, pp. 111-120

DOI:10.1145/3565287.3610275


[3]  SM, M Scheutzow: 

A Stochastic Gronwall Lemma and Well-Posedness of Path-Dependent SDEs Driven by Martingale Noise

Latin American Journal of Probability and Mathematical Statistics 18, pp. 193-209

DOI:10.30757/ALEA.v18-09


[2]  SM, M Scheutzow, W Stannat, BZ Zangeneh: 

Propagation of Chaos for Stochastic Spatially Structured Neuronal Networks with Delay Driven by Jump Diffusions

The Annals of Applied Probability 30 (1), pp. 175-207

DOI: 10.1214/19-AAP1499 


[1]  SM, W Stannat:

Weak Solutions to Vlasov–McKean Equations under Lyapunov-Type Conditions

Stochastics and Dynamics 19 (06)

DOI: 10.1142/S0219493719500424 


🔹Preprints:

[2]  F Ciucu, SM:

Poly-Exp Bounds in Tandem Queues

arXiv:2304.10162 (2023)


[1]  SM, E Salavati, BZ Zangeneh: 

Discretizations of Stochastic Evolution Equations in Variational Approach Driven by Jump-Diffusion

arXiv:1912.09863 (2019)



🔹PhD Thesis (2019):

Mathematical Analysis of Large-Scale Biological Neural Networks with Delay, (Slides)

Advisers: Professors Michael Scheutzow & Wilhelm Stannat & Bijan Z Zangeneh



🔹MSc Thesis (2014):

The Variational Approach to Stochastic Partial Differential Equations

Adviser: Prof. Bijan Z Zangeneh