Nabilah Ibrahim | Engineering and Technology | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

Nabilah Ibrahim
Associate Professor, Tun Hussein Onn University of Malaysia (UTHM), Malaysia

Nabilah Ibrahim
Affiliation Tun Hussein Onn University of Malaysia
Country Malaysia
Scopus ID 57211682978
Documents 66
Citations 95
h-index 6
Subject Area Engineering and Technology
Event Popular Engineer Awards
ORCID 0000-0003-3606-384X
Google Scholar fNb9bNcAAAAJ

Nabilah Ibrahim, Associate Professor (Ir.) at Tun Hussein Onn University of Malaysia (UTHM), is an academic researcher whose work spans medical signal and image analysis, ultrasound systems, computational blood-flow simulation, biomedical instrumentation, and engineering education. Her professional profile combines teaching, research, institutional leadership, student supervision, and international engagement. The recognition associated with the Innovative Research Award reflects sustained scholarly productivity, research funding success, impactful supervision, and contributions to biomedical engineering and healthcare technologies.[1]

Abstract

This article summarizes the academic achievements, research profile, leadership contributions, and scholarly impact of Nabilah Ibrahim. Her work integrates biomedical engineering, ultrasound imaging, medical image processing, computational fluid dynamics, and healthcare innovation. Through funded projects exceeding RM700,000, extensive student supervision, and active participation in international professional organizations, she has established a multidisciplinary research portfolio with measurable scholarly outputs and societal relevance.[1][2]

Keywords

Biomedical Engineering; Medical Signal Processing; Ultrasound Imaging; Computational Fluid Dynamics; Blood Flow Simulation; Healthcare Technology; Engineering Education; Medical Electronics; Research Leadership; Innovation.

Introduction

Nabilah Ibrahim serves as Associate Professor in the Department of Electronic Engineering at UTHM. Educated in Japan at Shibaura Institute of Technology and Tohoku University, she developed expertise in ultrasonic assessment, carotid artery analysis, image processing, and biomedical instrumentation. Her doctoral research on automated boundary detection of arterial walls using ultrasound contributed to methods used in vascular assessment and medical image analysis.[4]

Research Profile

The research profile of Nabilah Ibrahim encompasses medical signal and image analysis, blood-flow simulation using computational fluid dynamics, ultrasound system development, healthcare monitoring technologies, and biomedical engineering education. She has authored numerous journal articles, book chapters, teaching modules, and copyrighted innovations while supervising undergraduate, master’s, and doctoral candidates. Her academic record includes 66 indexed Scopus documents, 95 Scopus citations, and an h-index of 6 and According to publicly available Google Scholar metrics, Nabilah Ibrahim’s scholarly record includes 86 indexed documents, 174 citations, and an h-index of 7.[1][2]

  • Doctor of Philosophy in Electronic Engineering, Tohoku University, Japan.
  • Master of Computer Science, Shibaura Institute of Technology, Japan.
  • Bachelor of Engineering in Telecommunication, Shibaura Institute of Technology, Japan.
  • Leadership roles in research, publication, international relations, and academic administration.

Research Contributions

Major contributions include the development of ultrasound-based arterial wall detection methodologies, cardiovascular imaging techniques, healthcare monitoring devices, and computational modelling approaches for vascular diseases. Her research activities have generated copyrighted technologies including vein-finding systems, cardiac-sound classification tools, mitral-valve tracking methods, and blood-vessel visualization systems. These outputs demonstrate a sustained commitment to translational biomedical engineering research.[4]

  • Medical signal and image analysis.
  • Ultrasound equipment and system control.
  • Computational fluid dynamics for cardiovascular assessment.
  • Healthcare innovation and biomedical instrumentation.
  • Engineering education and student mentorship.

Publications

Publications focus on ultrasound imaging, arterial wall detection, cardiovascular assessment, medical signal processing, computational fluid dynamics, healthcare technologies, and biomedical engineering education, contributing peer reviewed research, innovation, diagnostics, advancements globally.

The publication portfolio of Nabilah Ibrahim includes journal articles, conference papers, book chapters, educational modules, and interdisciplinary biomedical engineering studies. Representative scholarly works include investigations into arterial-wall boundary detection, ultrasonic signal processing, healthcare monitoring systems, and biomedical image analysis.[4][5]

  1. Book chapters on biomedical engineering innovation, ultrasound education, healthcare monitoring, and medical imaging applications.

Research Impact

The research impact of Nabilah Ibrahim extends beyond publication metrics. She has supervised more than 30 undergraduate and postgraduate students, secured substantial research funding, served as examiner for doctoral and master’s theses, coordinated international mobility programs, and contributed to IEEE leadership activities. Multiple award-winning student projects and innovation outcomes demonstrate the practical relevance of her research agenda.[1][2]

Award Suitability

Nabilah Ibrahim demonstrates several characteristics commonly associated with recognition by engineering and innovation award programs. These include sustained research productivity, funded research achievements, international collaborations, professional society leadership, successful supervision of postgraduate researchers, academic administration, and the translation of research into educational and technological outcomes. Her portfolio of innovation awards, scholarly publications, and professional service activities aligns strongly with the objectives of the Popular Engineer Awards and related academic recognition programs.[1][3]

Conclusion

Nabilah Ibrahim has established a distinguished academic career characterized by research excellence, educational leadership, international engagement, and biomedical engineering innovation. Her contributions to ultrasound imaging, cardiovascular analysis, healthcare technologies, and student development support the view that her achievements represent a significant contribution to engineering and technology research within Malaysia and internationally.[1][4]

References

  1. Elsevier. (n.d.). Scopus author details: Nabilah Ibrahim, Author ID 57211682978. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57211682978
  2. Google Scholar. (n.d.). Scholar profile of Nabilah Ibrahim. https://scholar.google.com/citations?user=fNb9bNcAAAAJ&hl=en&oi=sra
  3. ORCID. (n.d.). Nabilah Ibrahim ORCID Record. https://orcid.org/0000-0003-3606-384X
  4. Ibrahim, N., Hasegawa, H., & Kanai, H. (2013). Detection of arterial wall boundaries using an echo model composed of multiple ultrasonic pulses. Japanese Journal of Applied Physics, 52(7S), 07HF03. DOI: https://doi.org/10.7567/JJAP.52.07HF03
  5. Ibrahim, N., Hasegawa, H., & Kanai, H. (2012). Detection of boundaries of carotid arterial wall by analyzing ultrasonic RF signals. Japanese Journal of Applied Physics, 51(7S), 07GF07. DOI: https://doi.org/10.1143/JJAP.51.07GF07

Andrea Sutoova | Engineering and Technology | Applied Engineering Award

Published on by Popular Engineer

Applied Engineering Award

Andrea Sutoova
VSB – Technical University of Ostrava, Czech Republic
Andrea Sutoova
Affiliation VSB – Technical University of Ostrava
Country Czech Republic
Scopus ID 55980563600
Documents 21
Citations 148
h-index 8
Subject Area Quality Engineering
Event Popular Engineer Awards
ORCID 0000-0002-6689-046X

Andrea Sutoova is an academic researcher associated with engineering quality management, quality engineering, Quality 4.0, manufacturing improvement, sustainability, and related management systems. Her research record includes publications addressing Six Sigma, machine learning, Lean 4.0, quality engineering competencies, manufacturing processes, and organizational quality improvement. [1]

Abstract

Andrea Sutoova is a researcher whose academic activities are centered on quality management and quality engineering, with related work in Quality 4.0, Industry 4.0, open innovation, human resource management, manufacturing quality, and organizational improvement. Her documented research record includes 21 Scopus-indexed documents, 148 citations, and an h-index of 8, while her broader scholarly profile includes publications and peer-review contributions across engineering, materials, sustainability, and quality-management journals. [1]

Keywords

Quality Engineering; Quality Management; Quality 4.0; Six Sigma; DMAIC; Lean 4.0; Industry 4.0; manufacturing quality; sustainability; process improvement; materials engineering; human resource management; organizational quality.

Introduction

Andrea Sutoova, PhD, has an academic background in production quality and has undertaken teaching and research activities in quality-oriented engineering and management. Her reported teaching portfolio includes organization design and development, quality of products and services, human resource management, and integrated management systems. Her research has involved national and international projects and publications concerning quality improvement, engineering systems, organizational practices, and manufacturing applications. [2]

The research record supplied for this article connects her work with organizations including the Technical University of Ostrava, University of Ostrava, and Technical University of Košice. The profile also identifies subject categories spanning engineering, materials science, physics, business and economics, and chemistry, indicating an interdisciplinary research orientation. [1]

Research Profile

The research profile is principally associated with quality engineering and quality management. A recurring theme is the application of structured improvement methodologies to industrial and organizational settings, including Six Sigma DMAIC, Quality 4.0, Lean 4.0, process sustainability, and competence development. Recent publications further extend this work into machine learning-assisted quality improvement and advanced manufacturing processes. [3] [5]

  • Quality Management and Quality Engineering
  • Quality 4.0 and Industry 4.0
  • Six Sigma and DMAIC-based improvement
  • Lean 4.0 and operational improvement
  • Manufacturing quality and materials engineering
  • Sustainability and organizational quality systems
  • Human resources and quality-engineering competencies

Research Contributions

A significant contribution of Andrea Sutoova’s recent research is the integration of established quality-improvement methodology with emerging digital analytical approaches. A 2026 study applies Six Sigma DMAIC together with machine learning to quality improvement in a casting-manufacturing context, linking statistical process improvement with data-driven analytical methods. [3]

Her work also contributes to the developing literature on Quality 4.0 by examining competence gaps among early-career quality engineers and by investigating factors affecting Quality 4.0 implementation in organizations. These studies address both the technological and human-capital dimensions required for contemporary quality systems. [5] [8]

Additional contributions concern manufacturing and materials applications, including research on PVD-coated inserts in high-pressure die casting and the relationship between tooling lifetime and surface-quality requirements. Her publication record also includes interdisciplinary work involving sustainability, supplier management, education-process improvement, and advanced metallic materials. [7] [9] [10]

Publications

The supplied publication record demonstrates a multidisciplinary research trajectory spanning quality engineering, manufacturing, healthcare quality, sustainability, and materials science. Particularly relevant recent publications include studies of machine-learning-supported Six Sigma improvement in casting, Lean 4.0 applications in operating theatres, Quality 4.0 competence gaps, and thermomechanical processing of a medium-entropy alloy. These works illustrate the application of quality and engineering principles across distinct technical and organizational environments. [3] [4] [5] [6]

Earlier research includes studies on PVD-coated cutting inserts, Quality 4.0 implementation in Czech, Slovak and Polish organizations, corporate social responsibility in supplier management, and use of the EFQM model to improve processes toward sustainability. The publications provide evidence of a research program connecting operational excellence, quality systems, organizational development, and sustainable performance. [7] [8] [9] [10]

Research Impact

The supplied Scopus profile reports 148 citations across 21 documents and an h-index of 8. The broader profile information identifies 24 Web of Science documents, including 23 publications indexed in Web of Science and 22 publications in the Web of Science Core Collection. It also records 33 verified peer-review contributions in the supplied profile summary. [1]

The reported peer-review activity includes contributions to journals such as The TQM Journal, Sustainability, Total Quality Management & Business Excellence, Materials, Applied Sciences, Electronics, Forecasting, IEEE Access, Quality Innovation Prosperity, Sensors, and Social Responsibility Journal. Such activity reflects engagement with scholarly evaluation across several related research domains.

Award Suitability

For an award category concerned with applied engineering, the supplied record provides several objectively relevant indicators: an identifiable research specialization in quality engineering, a documented publication record, citation and h-index metrics, interdisciplinary work spanning engineering and materials-related subjects, and recent research applying quality methodologies to practical manufacturing and organizational problems. [1]

The suitability of the Popular Engineer Awards recognition should ultimately be assessed according to the event’s published eligibility criteria, verification procedures, nomination requirements, and independent evaluation standards. The academic record presented here can serve as supporting evidence of research activity and applied engineering relevance, but does not by itself establish that an award has been conferred.

Conclusion

Andrea Sutoova’s research profile is characterized by sustained work in quality engineering and quality management, complemented by research on Quality 4.0, manufacturing, sustainability, organizational improvement, and advanced materials. Her reported bibliometric indicators and publication portfolio provide measurable evidence of scholarly activity, while her peer-review contributions indicate participation in the wider academic publication process. [1]

The combination of applied quality methodologies, interdisciplinary engineering research, and contemporary themes such as machine learning, Lean 4.0, and Quality 4.0 establishes a coherent basis for considering her work within an applied engineering recognition context. The award assessment, however, remains dependent on the applicable award body’s independent criteria and verification.

References

  1. Elsevier. (n.d.). Scopus author details: Andrea Sutoova, Author ID 55980563600. Scopus. https://www.scopus.com/pages/authors/55980563600
  2. ORCID. (n.d.). Andrea Sutoova — ORCID record. https://orcid.org/0000-0002-6689-046X
  3. Sütőová, A., Palacka, R., Antony, J., Vijayan, G. E., Cudney, E., & Ciliberto, C. (2026). Integration of Six Sigma DMAIC methodology with machine learning in quality improvement: An application in the casting manufacturing process. The International Journal of Advanced Manufacturing Technology. Advance online publication. https://doi.org/10.1007/s00170-026-18472-0
  4. Karunakaran, A. P., Antony, J., McDermott, O., Sony, M., Sutoova, A., Kaul, A., Ghatak, R. R., Demir, S., Islam, D., & Ciliberto, C. (2026). Reducing patient waiting times in operating theatres via Lean 4.0: A qualitative study. International Journal of Health Care Quality Assurance. Advance online publication. https://doi.org/10.1108/IJHCQA-01-2026-0005
  5. Sütőová, A., Vykydal, D., Vargova, S., Palacka, R., & Kočiško, R. (2026). Competence gap analysis of early-career Quality Engineers in the field of Quality 4.0. The TQM Journal. Advance online publication. https://doi.org/10.1108/TQM-12-2024-0522
  6. Kočiško, R., Petroušek, P., Milkovič, O., Diko, P., Girman, V., Sütőová, A., Duchek, M., & Zemko, M. (2026). Tailoring the mechanical properties of Al0.4CrFe2Ni2 medium-entropy alloy via thermomechanical processing. Materials, 19(3), Article 502. https://doi.org/10.3390/ma19030502
  7. Sütőová, A., Kočiško, R., Petroušek, P., Kotus, M., Petryshynets, I., & Pylypenko, A. (2024). Study of PVD-coated inserts’ lifetime in high-pressure die casting regarding the requirements for surface quality of castings. Coatings, 14(8), 1043. https://doi.org/10.3390/coatings14081043
  8. Wawak, S., Sutoova, A., Vykydal, D., & Halfarova, P. (2023). Factors affecting Quality 4.0 implementation in Czech, Slovak and Polish organizations: Preliminary research. Advances in Production Engineering & Management, 18(3), 327–340. https://doi.org/10.14743/APEM2023.3.477
  9. Kóča, F., Pačaiová, H., Turisová, R., Sütőová, A., & Darvaši, P. (2023). The methodology for assessing the applicability of CSR into supplier management systems. Sustainability, 15(17), 13240. https://doi.org/10.3390/su151713240
  10. Sütőová, A., Teplická, K., & Straka, M. (2022). Application of the EFQM model in the education institution for driving improvement of processes towards sustainability. Sustainability, 14(13), 7711. https://doi.org/10.3390/su14137711