| Google Scholar | ResearchGate | ORCID | arXiv Preprints | GitHub | University webpage |

Publications

Please email me if you do not have access to any of the papers. Download list of publications as a PDF file here.

Preprints/Submitted

  1. Karim S. Elsayed, Olga Izyumtseva, Wasiur R. KhudaBukhsh, Amr Rizk. Stochastic Analysis of Entanglement-assisted Quantum Communication Channels. (Submitted)
  2. Riccardo Corradin, Luca Danese, Wasiur R. KhudaBukhsh, Andrea Ongaro. Model-based clustering of time-dependent observations with common structural changes. [Preprint] (Submitted)
  3. Olga Izyumtseva, Wasiur R. KhudaBukhsh. Local times of self-intersection and sample path properties of Volterra Gaussian processes. [Preprint] (Submitted)
  4. Arnab Ganguly, Wasiur R. KhudaBukhsh. Enzyme kinetic reactions as interacting particle systems: Stochastic averaging and parameter inference. [Preprint] (Submitted)

Book chapters

  1. Olga Izyumtseva, Wasiur R. KhudaBukhsh, Grzegorz A. Rempała. Functional Law of Large Numbers for an Epidemic Model with Random Effects. Handbook of Statistics, 2024. [Published version]
  2. Grzegorz A. Rempała, Wasiur R. KhudaBukhsh. Dynamical Survival Analysis for Epidemic Modeling. In: Sriraman, B. (eds) Handbook of Visual, Experimental and Computational Mathematics, 2023. [Published version]

Peer-reviewed publications

  1. Yushuf Sharker, Zaynab Diallo, Wasiur R. KhudaBukhsh, Eben Kenah. Pairwise accelerated failure time models for infectious disease transmission in close contact groups with external sources of infection. Statistics in Medicine, 2024. [Published version] [Preprint]
  2. Wasiur R. KhudaBukhsh, Grzegorz A. Rempała. How to correctly fit an SIR model to data from an SEIR model? Mathematical Biosciences, 2024. [Published version] [Preprint]
  3. Karim Elsayed, Wasiur R. KhudaBukhsh, Amr Rizk. On the Trade-off between Fidelity and Latency for the Quantum Link Layer with few Memories and Entanglement Purification. Proceedings of the International Conference on Quantum Communications, Networking, and Computing (QCNC 2024) [Published version] (Best Paper Award)
  4. Matthew Wascher, Patrick Schnell, Wasiur R. KhudaBukhsh, Mikkel B. Quam, Joseph H. Tien, Grzegorz A. Rempała. Estimating disease transmission in a closed population under repeated testing. Journal of the Royal Statistical Society: Series C (JRSSC) [Published version] [Preprint]
  5. Karim Elsayed, Wasiur R. KhudaBukhsh, Amr Rizk. On the Fidelity Distribution of Link-level Entanglements under Purification. Proceedings of the IEEE International Conference on Communications, 2024. [Published version] [Preprint]
  6. Istvan Z. Kiss, Luc Berthouze, Wasiur R. KhudaBukhsh. Towards inferring network properties from epidemic data. Bulletin of Mathematical Biology, 2024. [Published version] [Preprint]
  7. Wasiur R. KhudaBukhsh, Sat Kartar Khalsa, Eben Kenah, Grzegorz A. Rempała, Joseph H. Tien. COVID-19 dynamics in an Ohio prison. Frontiers in Public Health, 2023. [Published version] [Preprint]
  8. Wasiur R. KhudaBukhsh, Caleb Deen Bastian, Matthew Wascher, Colin Klaus, Saumya Yashmohini Sahai, Mark Weir, Eben Kenah, Elisabeth Root, Joseph H. Tien, and Grzegorz Rempała. Projecting COVID-19 Cases and Hospital Burden in Ohio. Journal of Theoretical Biology, 2023. [Published version] [Preprint]
  9. Colin Klaus, Matthew Wascher, Wasiur R. KhudaBukhsh, Grzegorz Rempała. Likelihood-Free Dynamical Survival Analysis Applied to the COVID-19 Epidemic in Ohio. Mathematical Biosciences and Engineering, 2022. [Published version] [Preprint]
  10. Kai Cui, Wasiur R. KhudaBukhsh, Heinz Koeppl. Hypergraphon Mean Field Games. Chaos, 2022. [Published version] [Preprint]
  11. Wasiur R. KhudaBukhsh, Casper Woroszylo, Grzegorz Rempała, and Heinz Koeppl. A Functional Central Limit Theorem for Susceptible-Infected (SI) Process on Configuration Model Graphs. Advances in Applied Probability, 2022. [Published version] [Preprint]
  12. Colin Klaus, Matthew Wascher, Wasiur R. KhudaBukhsh, Joseph H. Tien, Grzegorz A. Rempała, Eben Kenah. Assortative mixing among vaccination groups and biased estimation of reproduction numbers. The Lancet Infectious Diseases, 2022. [Published version]
  13. Kai Cui, Wasiur R. KhudaBukhsh, Heinz Koeppl. Motif-based mean-field approximation of interacting particles on clustered networks. Physical Review E, 2022. [Published version] [Preprint]
  14. Francesco Di Lauro*, Wasiur R. KhudaBukhsh*, István Z. Kiss, Eben Kenah, Max Jensen, Grzegorz A. Rempała. Dynamic Survival Analysis for non-Markovian Epidemic Models. Royal Society Interface, 2022. [Published version] [Preprint] (*Joint first authors)
  15. Harley Vossler, Pierre Akilimali, Yuhan Pan, Wasiur R. KhudaBukhsh, Eben Kenah, Grzegorz A. Rempała. Analysis of Individual-level Epidemic Data: Study of 2018-2020 Ebola Outbreak in Democratic Republic of the Congo. Scientific Reports, 2022. [Published version]
  16. Ido Somekh*, Wasiur R. KhudaBukhsh*, Elisabeth Dowling Root*, Greg Rempala, Eric Simoes, and Eli Somekh. Quantifying the population-level effect of covid-19 mass vaccination campaign in Israel: A modeling study. Open Forum Infectious Diseases, 2022. [Published version] (*Joint first authors)
  17. Saumya Y. Sahai, Saket Gurukar, Wasiur R. KhudaBukhsh, Srinivasan Parthasarathy, Grzegorz A. Rempała. A Machine Learning Model for Nowcasting Epidemic Incidence. Mathematical Biosciences, 2021. [Published version]
  18. Wasiur R. KhudaBukhsh*, Hye-Wong Kang, Eben Kenah, and Grzegorz Rempała. Incorporating age and delay into models for biophysical systems. Physical Biology. [Published version] [Preprint] (*Invited paper)
  19. Wasiur R. KhudaBukhsh, Sounak Kar, Bastian Alt, Amr Rizk, Heinz Koeppl. Generalized Cost-Based Job Scheduling in Very Large Heterogeneous Cluster Systems. IEEE Transactions on Parallel and Distributed Systems, 2020. [Published version]
  20. Boseung Choi, Sydney Busch, Dieudonné Kazadi, Benoit Ilunga, Emile Okitolonda, Yi Dai, Robert Lumpkin, Omar Saucedo, Wasiur R. KhudaBukhsh, Joseph Tien, Marcel Yotebieng, Eben Kenah, Grzegorz A. Rempała. Modeling Outbreak Data: Analysis of a 2012 Ebola Virus Disease Epidemic in DRC. BIOMATH, 2019. [Published version]
  21. Wasiur R. KhudaBukhsh, Boseung Choi, Eben Kenah, and Grzegorz Rempała. Survival dynamical systems: individual-level survival analysis from population-level epidemic models. Interface Focus, 2019. [Published version] [Preprint]
  22. Wasiur R. KhudaBukhsh, Arnab Auddy, Yann Disser and Heinz Koeppl. Approximate lumpability for Markovian agent-based models using local symmetries. Journal of Applied Probability, September 2019. [Published version] [Preprint]
  23. Wasiur R. KhudaBukhsh, Amr Rizk, Sounak Kar, and Heinz Koeppl. Provisioning and performance evaluation of parallel systems with output synchronization. ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2018. [Published version]
  24. Hye-Won Kang*, Wasiur R. KhudaBukhsh*, Heinz Koeppl, and Grzegorz Rempała. Quasi-Steady-State Approximations Derived from the Stochastic Model of Enzyme Kinetics. Bulletin of Mathematical Biology, 2019. (* joint first authors.) [Published version] [Preprint]
  25. Bastian Alt, Markus Weckesser, Christian Becker, Matthias Hollick, Sounak Kar, Anja Klein, Robin Klose, Roland Kluge, Heinz Koeppl, Boris Koldehofe, Wasiur R. KhudaBukhsh, Mahdi Mousavi, Martin Pfannemueller, Amr Rizk, Andy Schuerr, and Ralf Steinmetz. Transitions: A protocol-independent view of the future internet. Proceedings of the IEEE, 2019. [Publisher version]
  26. Wasiur R. KhudaBukhsh, Julius Rückert, Julian Wulfheide, David Hausheer, and Heinz Koeppl. SchedMix: Heterogeneous strategy assignment in swarming-based live streaming. Open Transactions on Communication Systems (OTCS), 2018. [Accepted for publication]
  27. Wasiur R. KhudaBukhsh, Bastian Alt, Sounak Kar, Amr Rizk, and Heinz Koeppl. Collaborative uploading in heterogeneous networks: Optimal and adaptive strategies. IEEE International Conference on Computer Communications (INFOCOM), 2018.[Best-in-Session Presentation Award]
  28. Wasiur R. KhudaBukhsh, Amr Rizk, Alexander Frömmgen, and Heinz Koeppl. Optimizing Stochastic Scheduling in Fork-Join Queueing Models: Bounds and Applications. IEEE International Conference on Computer Communications (INFOCOM), 2017. [Published version]
  29. Adrian Šošić, Wasiur R. KhudaBukhsh, Abdelhak M. Zoubir, and Heinz Koeppl. Inverse reinforcement learning in swarm systems. AAMAS Workshop on Transfer in Reinforcement Learning, 2017. [Published version]
  30. Mahdi Mousavi, Hussein Al Shatri, Wasiur R. KhudaBukhsh, Heinz Koeppl, and Anja Klein. Cross- Layer QoE-based Incentive Mechanism for Video Streaming in Multi-Hop Wireless Networks. IEEE 86th Vehicular Technology Conference (VTC), 2017.
  31. Adrian Šošić, Wasiur R. KhudaBukhsh, Abdelhak M. Zoubir, and Heinz Koeppl. Inverse reinforcement learning in swarm systems. International Conference on Autonomous Agents & Multiagent Systems (AAMAS), 2017. [Published version] [Best paper award finalist]
  32. Wasiur R. KhudaBukhsh, Julius Rückert, Julian Wulfheide, David Hausheer, and Heinz Koeppl. Analysing and Leveraging Client Heterogeneity in Swarming-based Live Streaming. IFIP Networking Conference (IFIP Networking), 2016. [Published version]

Theses and technical notes

  1. Mark Sinzger-D'Angelo, Heinz Koeppl, and Wasiur R. KhudaBukhsh. Bounds on the spectral radius of real-valued non-negative Kernels on measurable spaces. arXiv preprint: https://arxiv.org/abs/1808.00258
  2. Wasiur R. KhudaBukhsh. Model reductions for queueing and agent-based systems with applications in communication networks. PhD thesis. Available here: http://tuprints.ulb.tu-darmstadt.de/7588/