Match tier Confirmed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-05

Hamood Ur Rehman

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

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Also affiliated: University of the Sciences (2015); Khazar University (2024–2026); Universiti Putra Malaysia (2026); Pakistan Council of Scientific & Industrial Research (2021); University of Nottingham (2021–2025); Balochistan University of Information Technology, Engineering and Management Sciences (2019–2020); University of Education, Winneba (2014); COMSATS University Islamabad (2020); University of the Punjab (2012–2024); Islamia University of Bahawalpur (2023–2025); Purdue University West Lafayette (2025); Taibah University (2026); University of Okara (2014–2026); Land Quality Management (2021); Altamira Technologies (2025); Royal Albert Edward Infirmary (2023); Central Institute of Temperate Horticulture (2017); Institute of Management Sciences Peshawar (2019); Hanyang University (2019); University of Education (2015–2016); Zhejiang University of Technology (2025); National University of Sciences and Technology (2015–2021)

41 h-index 241 pubs 4,386 cited

  • Luteinizing Hormone
  • Prolactin
  • Estradiol
  • Female
  • Follicle Stimulating Hormone
  • Humans
  • Pregnancy
  • Progesterone
  • Thyrotropin
  • Embryonic Development

Biography and Research Information

OverviewAI-generated summary

Hamood Ur Rehman's research primarily focuses on the theoretical and computational investigation of nonlinear phenomena, particularly in the context of wave propagation and soliton solutions. His work involves the application of analytical and numerical methods to solve complex nonlinear partial differential equations that model various physical systems.

Recent publications demonstrate his engagement with techniques such as the Sardar sub-equation method, the extended hyperbolic function method, and the mapping method. These approaches are utilized to analyze phenomena like Brownian motion in stochastic systems, pulse propagation in optical fibers, and the behavior of solitary waves in generalized fractional evolution equations. His research interests also extend to the optimization and reconfiguration of manufacturing systems through digital twins and artificial intelligence, as indicated by a recent publication in this area.

With a significant publication record (241 publications) and a high citation count (4,386), Rehman is recognized as a highly cited researcher. His collaborations at the University of Arkansas at Fayetteville include work with Mohammad Dehan Rahman, Xiaoqing Song, and Samuel O. Fakunle. He maintains an active laboratory website.

Metrics

  • h-index: 41
  • Publications: 241
  • Citations: 4,386

Selected Publications

  • Development of Low Inductance Direct Bonded Flipchip Gallium Nitride Module (2026)
    IEEE Transactions on Components Packaging and Manufacturing Technology DOI OpenAlex
  • DC Partial Discharge Characterization of a Coreless PCB Transformer (2025)

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Collaboration Network

6 Collaborators 1 Institution 1 Country

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