Ph.D. in Operations Research, Department of Statistics and Operations Research, School of Mathematical Sciences, Tel Aviv University.

M.Sc. in Operations Research, Department of Statistics and Operations Research, School of Mathematical Sciences, Tel Aviv University.

B.Sc. in Mathematics, School of Mathematical Sciences, Tel Aviv University.

 

Statistical Inference

The Statistical Aspects Of Machine Learning

Articles in Refereed Journals

Perel, E., Perel, N., & Yechiali, U. (2024). The non-preemptive ’Join the Shortest Queue - Serve the Longest Queue’ service system with or without switch-over times. Mathematical Methods of Operations Research. https://doi.org/10.1007/s00186-023-00848-7

Koren, O., Shamalov, A., & Perel, N. (2023). Small files problem resolution via hierarchical clustering algorithm. Big Data https://doi.org/10.1089/big.2022.0181

Ziv, R., Koren, O., & Perel, N. (2023). Big data block impact within big data environment. International Journal of Information Technology and Management, 22(1), 140-159. 1504/IJITM.2023.10055156

Perel, E., Perel, N., & Yechiali, U. (2022). A 3-Queue polling system with Join the Shortest--Serve the Longest policy. Indagationes Mathematicae, 34(5), 1101-1120. https://doi.org/10.1016/j.indag.2022.11.001

Perel, E., Perel, N., & Yechiali, U. (2020). A polling system with ‘Join the shortest-serve the longest’ policy. Computers & Operations Research, 114, 104809. https://doi.org/10.1016/j.cor.2019.104809

Koren, O., Hallin, C. A., Perel, N., & Bendet, D. (2019). Decision-making enhancement in a big data environment: application of the k-means algorithm to mixed data. Journal of Artificial Intelligence and Soft Computing Research, 9(4), 293-302. https://doi.org/10.2478/jaiscr-2019-0010

Armony, M., Perel, E., Perel, N., & Yechiali, U. (2019). Exact analysis for multiserver queueing systems with cross selling. Annals of Operations Research, 274(1), 75-100. https://doi.org/10.1007/s10479-018-2924-x

David, Y., Harison, E., Koren, O., & Perel, N. (2017). Reshaping organizational security policy upon corporate mobile users. International Journal of Software Engineering and its Applications, 11(11), 1-16.

Harison, E., Koren, O., & Perel, N. (2017). Is granting permissions to applications an informed decision? International Journal of Software Engineering and its Applications, 11(10), 41-52.

Koren, O., & Perel, N. (2017). Linux kernel evolution: analysis of versions 3.0 and 3.2. International Journal of Software Engineering and its Applications, 11(1), 29-40.

Kendal, D., Koren, O., & Perel, N. (2016). Pig Vs. Hive use case analysis. International Journal of Database Theory and Application, 9(12), 267-276. http://dx.doi.org/10.14257/ijdta.2016.9.12.24

Koren, O., & Perel, N. (2016). Contextual test: an alternative way to measure computer ability. AI Matters, 2(3), 6-13. https://doi.org/10.1145/2911172.2911175

Engelberg, G., Koren, O., & Perel, N. (2016). Big data performance evaluation using Apache Pig. International Journal of Software Engineering and its Applications, 10(11), 429-440.

Dorsman, J. P. L., Perel, N., & Vlasiou, M. (2016). Server waiting times in infinite supply polling systems with preparation times. Probability in the Engineering and Informational Sciences, 30(2), 153-184. https://doi.org/10.1017/S0269964815000339

Perel, N., & Yechiali, U. (2015). The Israeli Queue with a general group-joining policy. Annals of Operations Research, 317, 179-212. https://doi.org/10.1007/s10479-015-1942-1

Perel, N., & Yechiali, U. (2014). The Israeli queue with retrials. Queueing Systems, 78(1), 31-56. https://doi.org/10.1007/s11134-013-9389-z

Perel, N., & Yechiali, U. (2014). The Israeli queue with infinite number of groups. Probability in the Engineering and Informational Sciences, 28(1), 1-19. https://doi.org/10.1017/S0269964813000296

Perel, N., & Yechiali, U. (2013). The Israeli queue with priorities. Stochastic Models, 29(3), 353-379. https://doi.org/10.1080/15326349.2013.808911

Perel, N., & Yechiali, U. (2010). Queues with slow servers and impatient customers. European Journal of Operational Research, 201(1), 247-258. https://doi.org/10.1016/j.ejor.2009.02.024

 

Articles in Conference Proceedings

Koren, O., Perel, N., & Koren, M. (2020). The impact of merged data in big data platform: a case study. In: Anisic Z., Lalic B., Gracanin D. (eds) Proceedings on 25th International Joint Conference on Industrial Engineering and Operations Management – IJCIEOM: The Next Generation of Production and Service Systems 25 (pp. 194-204). Springer International Publishing. IJCIEOM 2019. https://doi.org/10.1007/978-3-030-43616-2_21.

Hallin, C. A., Jensen, J. J. U., Koren, O., Perel, N., & Tveteraas, S. L. (2019). Testing smart crowds for the economy. In Proceedings of the ACM Collective Intelligence 2019. Association for Computing Machinery. https://ci.acm.org/2019/assets/proceedings/CI_2019_paper_32.pdf

Koren, O., Binyaminov, M., & Perel, N. (2019). The impact of distributed data in big data platforms on organizations. In: Arai K., Bhatia R., Kapoor S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018: Volume 2 (pp. 1024-1036) FTC 2018. Springer International Publishing. https://doi.org/10.1007/978-3-030-02683-7_76

Koren, O., Hallin, C. A., Perel, N. & Bendet, D. 2018, Enhancement of the K-means algorithm for mixed data in big data platforms. In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_71

Perel, N., Dorsman, J.P.L., & Vlasiou, M., (2013, January). Cyclic-type polling models with preparation times. In Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems (ICORES 2013), pp. 14–23. Won the Best Paper Award. https://icores.scitevents.org/PreviousAwards.aspx#2013 5220/0004206500140023