Research Teaching Assistant at American University of Sharjah, United Arab Emirates
Mrs. Nadin Alherimi is a driven Ph.D. Candidate in Engineering Systems Management at the American University of Sharjah , specializing in the digital transformation of cold chain logistics . With an impressive Master’s, she has contributed extensively to peer-reviewed journals and Q1 publications . A bilingual professional fluent in Arabic and English Nadin blends academic excellence with real-world experience, having worked as a graduate assistant and intern in industry-leading environments . Her work emphasizes ROI analysis, energy consumption optimization, and Industry 4.0 integration . Nadin is passionate about leveraging AI and lean methodologies to enhance supply chain efficiency . She is recognized for her leadership, research acumen, and commitment to innovation .
Professional Profile
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Education
Mrs. Nadin Alherimi has built a robust academic foundation in engineering and management . She earned her Bachelor of Science in Industrial Engineering and Engineering Management from the University of Sharjah , graduating with a She continued her studies with a Master of Science in Engineering Management , achieving a perfect Currently, she is pursuing her Ph.D. in Engineering Systems Management at the American University of Sharjah , with a dissertation focused on Cold Chain and Digital Transformation . Her academic path reflects a deep commitment to excellence and a clear alignment with her research interests in logistics, quality control, and Industry integration .
Experience
Mrs. Nadin Alherimi brings valuable experience from both academia and industry . As a Graduate Research and Teaching Assistant at the American University of Sharjah , she leads tutorial sessions, assists in teaching operations and statistics, and mentors undergraduates . Previously, she was a Research Assistant at the University of Sharjah , co-authoring papers and conducting both qualitative and quantitative research for scholarly publications . She also gained hands-on industry insight during her Supply Chain & Estimation Internship at NAFFCO FZCO in contributing to quality standards and cost estimations for firefighting equipment . Nadin Alherimi well-rounded experience in research, teaching, and practical engineering makes her a dynamic contributor in both academic and professional spheres .
Research Interest
Mrs. Nadin Alherimi research is centered on the digital transformation of supply chains, with a strong focus on cold chain logistics , Industry 4.0 integration , and energy consumption optimization . Her interests span Lean Six Sigma, quality control, and the application of AI in smart logistics . She investigates ROI analysis and simulation modeling to support decision-making in logistics and warehousing environments. Additionally, she explores employee behavioral patterns in sustainable practices and optimization in control chart design. Nadin’s multidisciplinary approach combines engineering management, data analytics, and sustainability, driving innovation at the intersection of operations research and digital technologies .
Award and Honor
Mrs. Nadin Alherimi academic journey speaks volumes of her excellence , her consistent in her Master’s program and near-perfect record during her Bachelor’s degree are testaments to her academic rigor and commitment to quality . Her role as a co-author in high-impact Q1 journals and IEEE publications reflects her active engagement with top-tier research communities. Additionally, she has received opportunities to work as a teaching and research assistant at leading UAE universities, which are competitive appointments awarded to top-performing scholars . Though not listed with formal medals or awards, her scholarly impact and leadership in research circles offer recognition of a different kind—through citations, collaboration, and contributions to innovation .
Research Skill
Mrs. Nadin’s Alhrimi research skills span a robust mix of technical, analytical, and professional proficiencies . Technically, she is adept in tools such as SAP S/4HANA, Arena, Minitab, SAS OnDemand, AutoCAD, and Arduino UNO . Her methodological toolkit includes quantitative and qualitative research, Lean Six Sigma, digital transformation modeling, data analytics, and simulation modeling . She is skilled in academic writing, literature review synthesis, and peer-reviewed publishing . Professionally, she excels in project management, team collaboration, and leadership . With a solid foundation in supply chain management and operations research, Nadin’s analytical rigor and systems-thinking approach enable her to tackle complex problems in dynamic environments.
Publication Top Notes
Title: Prioritizing ERP System Selection Challenges in UAE Ports: A Fuzzy Delphi and Relative Importance Index Approach
Authors: N. Alherimi, A. Alyaarbi, S. Ali, Z. Bahroun, V. Ahmed
Year: 2025
Citations: – (Not yet cited or citation data unavailable)
Title: Author Correction: Employees’ pro-environmental behavior in an organization: a case study in the UAE
Authors: N. Alherimi, Z. Marva, K. Hamarsheh, A. Alzaatreh
Year: 2024
Citations: – (Correction notice; citation typically attributed to the original)
Title: A systematic review of optimization approaches employed in digital warehousing transformation
Authors: N. Alherimi, A. Saihi, M. Ben-Daya
Year: 2024
Citations: – (No citation count listed yet)
Title: Employees’ pro-environmental behavior in an organization: a case study in the UAE
Authors: N. Alherimi, Z. Marva, K. Hamarsheh, A. Alzaatreh
Year: 2024
Citations: 23
Title: Optimization design of control charts: A systematic review
Authors: S. Haridy, A. Maged, N. Alherimi, M. Shamsuzzaman, S. Al‐Ali
Year: 2024
Citations: 5
Title: Deployment of Lean Six Sigma DMAIC methodology to improve productivity of a can manufacturing industry
Authors: M. Shamsuzzaman, N. AlHerimi, S. Haridy, A. Shamsuzzoha, F. Abumadi, …
Year: 2023
Citations: 3
Conclusion
Mrs. Nadin Alherimi is a highly qualified nominee for the Best Researcher Award, representing a new generation of scholars who blend practical engineering solutions with future-forward digital innovation. Her research is methodologically sound, socially relevant, and globally significant making her a standout candidate for this prestigious recognition.