abideh.jafari@iut.ac.ir Office Physics Department Phone +98 313 3913709 Fax +98 313 3912376 Positions Associate Professor of Physics Department Research Interests Experimental High Energy Physics Precision measurements and searches in the heavy sector of the SM, namely, top quark and Higgs boson New interactions and Effective Field Theory Quantum Computing and Quantum Machine Learning type: Journal Title DOI type Search for central exclusive production of top quark pairs in proton-proton collisions at ?s = 13 TeV with tagged protons # Journal Search for Standard Model pp?tWZ process in multi-lepton final states in pp collisions at ?s = 13 TeV # Journal Search for exotic decays of the Higgs boson to a pair of pseudoscalars in the ??bb and ??bb final states # Journal Search for exotic decays of the Higgs boson to a pair of pseudoscalars in the \upmu \upmu \text{ b } \text{ b } and \uptau \uptau \text{ b } \text{ b } final states # Journal Search for CP violation using $$ \textrm{t}\overline{\textrm{t}} $$ events in the lepton+jets channel in pp collisions at $$ \sqrt{s} $$ = 13 TeV 10.1007/JHEP06(2023)081 Journal Search for high-mass resonances decaying to a jet and a Lorentz-boosted resonance in proton-proton collisions at s=13TeV 10.1016/j.physletb.2022.137263 Journal Search for Higgs Boson Pair Production in the Four <mml:math xmlns:mml='http://www.w3.org/1998/Math/MathML' display='inline'><mml:mi>b</mml:mi></mml:math> Quark Final State in Proton-Proton Collisions at <mml:math xmlns:mml='http://www.w3.org/1998/Ma 10.1103/PhysRevLett.129.081802 Journal Search for long-lived heavy neutral leptons with displaced vertices in proton-proton collisions at $$ \sqrt{\mathrm{s}} $$ =13 TeV 10.1007/JHEP07(2022)081 Journal Search for Resonances Decaying to Three <mml:math xmlns:mml='http://www.w3.org/1998/Math/MathML' display='inline'><mml:mrow><mml:mi>W</mml:mi></mml:mrow></mml:math> Bosons in Proton-Proton Collisions at <mml:math xmlns:mml='http://www.w3.org/1998/Mat 10.1103/PhysRevLett.129.021802 Journal Identification of hadronic tau lepton decays using a deep neural network 10.1088/1748-0221/17/07/P07023 Journal
