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researcher

M. Hussain

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • hep-ph2
same name
  • M. Hussain — 7 papers, h 27
  • M. Hussain — 6 papers, h 13
  • M. Hussain — 6 papers, h 6
  • M. Hussain — 4 papers, h 42
  • M. Hussain — 2 papers, h 10
  • M. Hussain — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

hep-ph2026

Impact of Colliding Beams Helicity on the Production of Leptoquarks and Collider Experimental Parameters

M. Danial Farooq, M. Tayyab Javaid, Mudassar Hussain +3

Vector Leptoquarks (VLQs) have emerged as primary candidates for resolving discrepancies in the Standard Model, specifically within B-meson decay channels and the anomalous magne…

hep-ph2026

Search for Vector-Like Singlet Top (T) Quark in a Future Muon-Proton (μp) Collider at s​=5.29,6.48, and 9.16 TeV using Advanced Machine Learning Architectures

Haroon Sagheer, M. Tayyab Javaid, Mudassar Hussain +3

In this work, we explore the discovery potential of Vector-Like Singlet Top quarks (T) at a future μp collider with center-of-mass energies of 5.29, 6.48, and 9.16 TeV, providi…

hep-ph2026

Unraveling Dirac Magnetic Monopoles with Muon Beams at TeV Energies Using Machine Learning

M. Tayyab Javaid, Mudassar Hussain, Haroon Sagheer +3

The focus of this paper is the production of magnetic monopoles Drell-Yan and the Photon-Fusion mechanisms to generate velocity-dependent scalar, fermionic, and vector monopoles of…

hep-ph2025

Probing Vector-Like Quarks at a future Muon-Proton Collider

Mudassar Hussain, Ijaz Ahmed, Tayyab Javaid +2

This study investigates the discovery potential of a singly produced vector-like top quark (T) at a future muon-proton collider with center-of-mass energies of 5.29, 6.48, and 9.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.