79 Dr. Reches Shulamit Cell phone: 0545890792 Email: Shulamit.reches@gmail.com Google Scholar: https://scholar.google.co.il/citations?user=9ep8xoUAAAAJ&hl=iw My research interests are in Algebraic Combinatorics and Artificial Intelligence. Peer-Reviewed Papers in Refereed Journals 1. Ron Adin, Eli Bagno, Estrella Eisenberg, Shulamit Reches, Moria Sigron, On TwoSided Gamma-Positivity for Simple Permutations, The Electronic Journal of Combinatorics. Volume25-2, 2018. (I.F 0.96, Q1). 2. Eli Bagno, Estrella Eisenberg, Shulamit Reches, Moria Sigron, On the poset of kingnon-attacking permuations. European J. of Combinatorics, v. 87, pp.103119, issn = "0195-6698", doi = "https://doi.org/10.1016/j.ejc.2020.103119", 2020 (IF:1.290, Q1). 3. Shulamit Reches and Meir Kalech, Decision Making with Dynamic Uncertain Continuous Information, Expert Systems with Applications, p. 113586, issn :09574174, doi: "https://doi.org/10.1016/j.eswa.2020.113586", 2020 (IF 4.292, Q1). 4. Rina Azulay and Shulamit Reches, Flocks Formation Model for Self-Interested UAV, Intelligent Service Robotics, 2021, 14(2), 157-1742021, doi: 10.1007/s11370-02100354-x (IF 1.547 Q1/Q2). 5. Yakov Itin and Shulamit Reches, Decomposition of third-order constitutive tensors, Mathematics and Mechanics of Solids, 2021 (IF 2.04, Q2). 6. Eli Bagno, Estrella Eisenberg, Shulamit Reches, Moria Sigron, On the sparseness of the downsets of permutations via its number of separators, Enumerative Combinatorics and Applications, 2021. Peer-Reviewed Papers in Refereed Conference Proceedings 1. Shulamit Reches and Moriah Sigron, on two-sided Gamma-Positivity for Simple Permutations, Permutation Patterns 2018, Dartmouth College. 2. Rina Azoulay and Shulamit Reches, UAV Flocks Forming for Crowded Flight Environments, ICAART 2019, (Cited by 1). 3. Eli Bagno, Estrella Eisenberg, Shulamit Reches, Moriah Sigron. Counting king permutation on the cylinder, The 2020 virtual Permutation Patterns virtual workshop, 2020. 4. R. Azoulay, K. Danilchenko, Y. Haddad, S. Reches, Transmit Power Control by Deep Neural Network in TDMA-based AD-HOC clusters. IWCMC 2021 Conference. (accepted) (Acceptance rate: 38%), (Rank: B).
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