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

Mohamed Kharrat | Mathematics | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

Mohamed Kharrat
University of Sfax, Tunisia
Mohamed Kharrat
Affiliation University of Sfax
Country Tunisia
Scopus ID 57214370528
Documents 68
Citations 346
h-index 10
Subject Area Applied Mathematics
Event Popular Engineer Awards
Google Scholar lgknDdYAAAAJ

Mohamed Kharrat is an applied mathematician whose academic work encompasses fractional differential equations, numerical methods, stochastic systems, adaptive control, stability analysis, mathematical modeling, and mathematical finance. He is affiliated with the University of Sfax in Tunisia and has held academic positions involving applied mathematics teaching, research, graduate supervision, and international scientific collaboration. Mohamed Kharrat’s academic profile combines mathematical analysis with computational and control-oriented approaches to complex systems. His documented work includes fractional-order systems, stochastic nonlinear systems, adaptive and fault-tolerant control, numerical methods, and mathematical finance. His research portfolio also includes funded projects addressing nonlinear dynamics, stochastic processes, neural-network-based control, and option valuation.[1][2]

Abstract

Mohamed Kharrat is an Associate Professor of Applied Mathematics whose research profile integrates theoretical analysis, computational mathematics, stochastic modeling, and control theory. His academic training includes a Habilitation in Mathematics, a Ph.D. in Mathematics, an M.Sc. in Applied Mathematics, and a B.Sc. in Applied Mathematics from Tunisian universities. His research interests include fractional calculus and differential equations, numerical methods, nonlinear dynamical systems, adaptive control, stability analysis, mathematical finance, and stochastic differential equations. His documented academic activities include peer-reviewed research, research project leadership, international scientific mobility, conference organization, and Master’s student supervision.

Available bibliometric information identifies Google Scholar 77 Documents, 425 citations, and an h-index of 11 and 68 documents, 346 citations, and an h-index of 10 under Scopus author identifier 57214370528. These figures are bibliographic indicators rather than independent measures of research quality and may change as databases are updated.[1][2]

Keywords

Applied mathematics; fractional calculus; fractional differential equations; numerical analysis; mathematical modeling; nonlinear dynamical systems; adaptive control; stability analysis; mathematical finance; stochastic differential equations; Malliavin calculus; fault-tolerant control.

Introduction

Applied mathematics develops mathematical frameworks for understanding, analyzing, and solving problems arising in science, engineering, finance, and other quantitative disciplines. Mohamed Kharrat’s research portfolio is situated within this broad field, with particular emphasis on differential equations, stochastic processes, control systems, numerical computation, and mathematical finance. His work includes both analytical investigations and computationally oriented methods for systems characterized by uncertainty, nonlinear behavior, memory effects, or actuator constraints.

The research record supplied for this profile also indicates sustained engagement with international mathematical research communities through scientific stays at institutions in Canada, France, and Italy. Such mobility activities complement his teaching, supervision, conference organization, and research-project responsibilities.[1]

Research Profile

Mohamed Kharrat’s academic preparation spans pure and applied mathematical training, progressing from a B.Sc. in Applied Mathematics to an M.Sc. in Applied Mathematics, a Ph.D. in Mathematics, and a Habilitation in Mathematics. His academic appointments have included teaching and research positions at Sfax University, Kairouan University, Monastir University, and Jouf University.

Education

  • Habilitation in Mathematics (2021) — Department of Mathematics, Faculty of Sciences of Sfax, Sfax University, Tunisia.
  • Ph.D. in Mathematics (2014) — Department of Mathematics, Faculty of Sciences of Sfax, Sfax University, Tunisia.
  • M.Sc. in Applied Mathematics (2008) — National Engineering School of Tunis, Tunis El Manar University, Tunisia.
  • B.Sc. in Applied Mathematics (2005) — Department of Mathematics, Faculty of Sciences of Sfax, Sfax University, Tunisia.

Academic Positions

  • Associate Professor of Applied Mathematics (2024–present) — College of Science, Jouf University, Saudi Arabia; Preparatory Engineering Institute of Sfax, Sfax University, Tunisia.
  • Assistant Professor of Applied Mathematics (2018–2024) — College of Science, Jouf University, Saudi Arabia; Faculty of Pharmacy of Monastir, Monastir University, Tunisia.
  • Assistant of Applied Mathematics (2014–2018) — Faculty of Pharmacy of Monastir, Monastir University, Tunisia.
  • Assistant of Applied Mathematics (2011–2014) — Higher Institute of Applied Mathematics and Informatics of Kairouan, Kairouan University, Tunisia.
  • Assistant of Applied Mathematics (2009–2011) — Faculty of Sciences of Sfax, Sfax University, Tunisia.

Teaching Experience

  • Stochastic Calculus
  • Statistics and Probability at undergraduate and graduate levels
  • Biostatistics
  • Data Analysis using SPSS
  • Operational Research
  • Partial Differential Equations
  • Numerical Analysis
  • Advanced Calculus
  • Linear Algebra
  • Mathematical Analysis

Research Interests

  • Fractional Calculus and Differential Equations
  • Numerical Methods and Their Applications
  • Mathematical Modeling
  • Nonlinear Dynamical Systems
  • Adaptive Control
  • Stability Analysis
  • Mathematical Finance
  • Stochastic Differential Equations

Research Contributions

The supplied research record shows several interconnected contribution areas. Work on fractional-order systems addresses mathematical models in which non-integer differentiation can represent memory and hereditary effects. One co-authored study examined finite-time stability for linear fractional-order time-delay systems, contributing to the analysis of stability behavior in systems with both fractional dynamics and delays. [2][3]

A second research direction concerns adaptive and fault-tolerant control of nonlinear systems. Recent publications supplied for this profile investigate neural-network-based adaptive control, actuator faults, unknown hysteresis, unmodeled dynamics, dead-zone characteristics, and nonstrict-feedback nonlinear systems. [4] [5]

Mathematical finance represents another substantial component of the research portfolio. The listed research projects address Malliavin calculus, stochastic volatility, stochastic interest rates, American option valuation, European option pricing, and fractional versions of the Vasicek model. These projects demonstrate the application of stochastic-analysis techniques to quantitative finance.

Research Projects

  1. DGSSR-2025-02-01021 — Finite-Time Fuzzy Adaptive Control for Nonlinear Systems with Asymmetric Dead-Zone and Actuator Faults via an Event-Triggered Mechanism.
  2. DGSSR-2025-02-01020 — Neural Network-Based Adaptive Fixed-Time Control for Nonlinear Systems with Actuator Faults, Unmodeled Dynamics, and Input Dead-Zone.
  3. DGSSR-2025-FC-01002 — Adaptive Finite-Time Control for Pure-Feedback Stochastic Nonlinear Systems.
  4. DGSSR-2024-02-02034 — Adaptive Fuzzy Command-Filter Control with Actuator Faults.
  5. DGSSR-2024-02-01008 — Adaptive Fault-Tolerant Control of Nonstrict-Feedback Systems with Unmodeled Dynamics Output Using Multi-Dimensional Taylor Networks.
  6. DSR-2023-02-02011 — Specification of Malliavin Weights under Stochastic Volatility and Stochastic Interest Rate Processes for American Option Valuation.
  7. DSR-2021-03-03140 — Expected Derivative Value Computation Using Malliavin Calculus under General Stochastic Volatility Processes.
  8. DSR-2021-03-03139 — A New Stable Relaxation Method for Pricing European Options under the Time-Fractional Vasicek Model.
  9. DSR-2021-03-0234 — Optimal Pricing of American Options.
  10. DSR-2020-05-450 — Computation of Conditional Expectation Based on the Multidimensional J-Process Using Malliavin Calculus for Pricing American Options with Localization Functions.

International Scientific Mobility

  • July–August 2016: Université du Québec à Montréal, Canada — scientific research stay under the invitation of Prof. Jean-Guy Meunier.
  • June–July 2015: Université de Montréal, Canada — scientific research stay under the invitation of Prof. Fabian Bastin.
  • April–May 2012: University of Bologna, Italy — scientific research stay under the invitation of Prof. Andrea Pascucci.
  • December 2010: University of Maine, Le Mans, France — research collaboration at the Department of Mathematics under the invitation of Prof. Saïd Hamadène.
  • January–March 2009: University of Padua, Italy — scientific research stay under the invitation of Prof. Wolfgang Runggaldier.
  • August 2008–August 2009: University of Genoa, Italy — scientific research stay under the international mobility program IMAGEEN.

Academic Service and Professional Activities

Kharrat has participated in the organization and scientific governance of international mathematical conferences. He served as General Conference Chair for the International E-Conference on Pure and Applied Mathematical Sciences in 2021 and 2022 and as a member of scientific committees for conferences and symposia held between 2021 and 2023.

  • General Conference Chair: International E-Conference on Pure and Applied Mathematical Sciences (ICPAMS 2022), 04–06 May 2022.
  • General Conference Chair: International E-Conference on Pure and Applied Mathematical Sciences (ICPAMS 2021), 07–10 June 2021.
  • Scientific Committee Member: International Conference on Contemporary Mathematics and Its Applications (ICCMA 2023), 26–27 November 2023.
  • Scientific Committee Member: International Symposium on Contemporary Developments in Functional Analysis and Mathematical Sciences (ISCDFAMS 2023).
  • Scientific Committee Member: International Symposium on Contemporary Developments in Functional Analysis and Mathematical Sciences (ISCDFAMS 2022).
  • Scientific Committee Member: International Conference on Recent Advances in Mathematics and Informatics (ICRAMI 2021), 21–22 September 2021.

Master’s Student Supervision

  • 2024: Reem Alanazi — Computation of the Conditional Expectation Using Malliavin Calculus.
  • 2024: Ali Majrashi — Fractional Brownian Motion and Its Applications.
  • 2023: Sooaad AlShamrani — On the Analytic Theory of Free Probability.
  • 2021: Seham Al Roweathi — Pricing Options under Fractional Models.

Publications

The supplied academic record identifies a publication portfolio that includes journal articles, book chapters, books, and conference papers. The stated publication-related totals include four book chapters, three books, and ten conference papers. The following selected articles illustrate the principal research themes represented in the record.[2][3][4][5]

  • Naifar, O., Nagy, A. M., Makhlouf, A. B., Kharrat, M., & Hammami, M. A. (2019). Finite-time stability of linear fractional-order time-delay systems. International Journal of Robust and Nonlinear Control, 29(1), 180–187.
  • Kharrat, M. (2024). Neural networks-based adaptive fault-tolerant control for stochastic nonlinear systems with unknown backlash-like hysteresis and actuator faults. Journal of Applied Mathematics and Computing, 70(3), 1995–2018.
  • Kharrat, M. (2024). Adaptive fault-tolerant control for a class of nonstrict-feedback nonlinear systems with unmodeled dynamics and dead-zone output using multi-dimensional Taylor networks. Nonlinear Dynamics, 112(15), 13289–13306.

Research Impact

The supplied bibliometric profile records 68 documents, 346 citations, and an h-index of 10. These indicators provide a quantitative description of the indexed research record and should be interpreted within the coverage and updating practices of the relevant bibliographic databases. The Scopus author identifier associated with the profile is 57214370528. [1]

Beyond publication metrics, the academic record indicates research leadership through multiple principal-investigator or project-chair roles, international research mobility, graduate supervision, and conference service. The combination of mathematical theory, computational methods, stochastic modeling, and control-oriented applications provides a multidisciplinary foundation for applied mathematical research.

The selected publications also demonstrate engagement with established scholarly journals and internationally visible research themes. The 2019 study on fractional-order time-delay systems addresses stability theory, while the 2024 studies extend adaptive control approaches to nonlinear stochastic systems and systems affected by actuator faults and unmodeled dynamics. [3] [4] [5]

Award Suitability

Based on the academic information supplied for this profile, Mohamed Kharrat presents a research record that is relevant to an Innovative Research Award in the field of applied mathematics. The suitability assessment is based on documented research activity, scholarly publications, project leadership, academic service, graduate supervision, and international collaboration rather than on an assumption of award outcome.

  • Research breadth: The profile covers fractional calculus, differential equations, stochastic systems, control theory, numerical methods, and mathematical finance.
  • Research continuity: Academic projects and publications span multiple years and demonstrate continuing activity across theoretical and applied mathematical problems.
  • Research leadership: The record identifies multiple principal-investigator and project-chair responsibilities in funded research projects.
  • Scholarly output: The supplied bibliometric profile reports 68 documents, 346 citations, and an h-index of 10. [1]
  • International engagement: Research stays and collaborations in Canada, France, and Italy indicate sustained international scientific interaction.
  • Academic contribution: Conference organization, scientific committee participation, and Master’s supervision complement the research portfolio.

Taken together, these elements provide a substantive basis for consideration under an innovation-oriented academic recognition category, subject to the formal eligibility requirements, documentation standards, and independent evaluation procedures of the Popular Engineer Awards.

Conclusion

Mohamed Kharrat’s academic profile reflects a sustained engagement with applied mathematics, combining mathematical theory, numerical computation, stochastic analysis, control systems, and financial modeling. His education at Sfax University and Tunis El Manar University, academic appointments in Tunisia and Saudi Arabia, research leadership, graduate supervision, conference service, and international scientific mobility collectively describe a broad academic career.

The documented publication and bibliometric record further supports the characterization of an active research profile. Particularly notable research themes include fractional-order stability, adaptive fault-tolerant control, stochastic nonlinear systems, Malliavin calculus, and mathematical finance. [3] [4] [5]

References

  1. Elsevier. (n.d.). Scopus author details: Mohamed Kharrat, Author ID 57214370528. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57214370528
  2. Google Scholar. (n.d.). Mohamed Kharrat — Google Scholar profile. https://scholar.google.com/citations?user=lgknDdYAAAAJ&hl=en&oi=sra
  3. Naifar, O., Nagy, A. M., Makhlouf, A. B., Kharrat, M., & Hammami, M. A. (2019). Finite-time stability of linear fractional-order time-delay systems. International Journal of Robust and Nonlinear Control, 29(1), 180–187. https://doi.org/10.1002/rnc.4388
  4. Kharrat, M. (2024). Neural networks-based adaptive fault-tolerant control for stochastic nonlinear systems with unknown backlash-like hysteresis and actuator faults. Journal of Applied Mathematics and Computing, 70(3), 1995–2018. https://doi.org/10.1007/s12190-024-02042-2
  5. Kharrat, M. (2024). Adaptive fault-tolerant control for a class of nonstrict-feedback nonlinear systems with unmodeled dynamics and dead-zone output using multi-dimensional Taylor networks. Nonlinear Dynamics, 112(15), 13289–13306. https://doi.org/10.1007/s11071-024-09749-8

Soughah AlSamahi | Civil Engineering | Applied Engineering Award

Published on by Popular Engineer

Applied Engineering Award

Soughah AlSamahi
University of Guanajuato, Mexico
Soughah AlSamahi
Affiliation Ministry of Energy and Infrastructure
Country United Arab Emirates
Scopus ID 58398057200
Documents 2
Citations 16
h-index 1
Subject Area Civil Engineering
Event Popular Engineer Awards
ORCID 0009-0005-8213-8007

Soughah AlSamahi is a civil engineer and researcher affiliated with the Ministry of Energy and Infrastructure in the United Arab Emirates. With over five years of professional experience in road asset management, infrastructure maintenance, and climate resilience, she has contributed to numerous federal projects and research initiatives. Her work focuses on innovative approaches to structural health monitoring, pavement engineering, and flood risk assessment, with a strong emphasis on sustainability and smart infrastructure solutions. AlSamahi holds a Ph.D. in Civil Engineering from the University of Sharjah (ongoing), a Master’s degree in Engineering Asset Management with Distinction from the University of Wollongong in Dubai, and a Bachelor of Science in Civil Engineering from the American University of Sharjah. She has been recognized through multiple awards, including the Minister of Energy and Infrastructure Award (2023) and the Best New Employee Award (2020).[1][2]

Abstract

This article presents the academic and professional profile of Soughah AlSamahi, a civil engineer and researcher at the Ministry of Energy and Infrastructure (UAE), in the context of the Popular Engineer Awards. The summary highlights her research output, including 16 Scopus-indexed documents, 2 citations, and an h-index of 1, alongside her extensive project experience in road asset management, pavement maintenance, and climate adaptation. Her work bridges engineering practice and academic inquiry, with contributions to structural health monitoring, flood risk assessment, and performance-based infrastructure contracts. AlSamahi’s dedication to innovation, knowledge sharing, and professional development aligns with the criteria for applied engineering recognition.[3]

Keywords

Civil Engineering, Road Asset Management, Structural Health Monitoring, Pavement Engineering, Climate Resilience, Flood Risk Assessment, Infrastructure Management, Performance-Based Contracts, Innovation, Smart Infrastructure, Sustainability, Applied Engineering.

Introduction

The Popular Engineer Awards recognize individuals who demonstrate excellence in applied engineering, combining technical expertise with practical impact. Soughah AlSamahi’s career trajectory exemplifies this integration. Since joining the Ministry of Energy and Infrastructure, she has been involved in over a dozen major infrastructure projects, ranging from federal road maintenance to smart asset management systems. Her academic pursuits, including a Ph.D. in Civil Engineering and a Master’s in Engineering Asset Management, complement her hands-on experience, enabling her to address complex engineering challenges with evidence-based solutions. Her research on pavement deterioration models, structural health monitoring, and climate change impacts has been published in peer-reviewed journals and presented at international conferences.[4] This article provides a comprehensive overview of her professional and research contributions, underscoring her suitability for the award.

Research Profile

Soughah AlSamahi’s research profile, as indexed in Scopus (Author ID: 58398057200), comprises 16 documents with 2 citations and an h-index of 1, primarily in civil engineering, infrastructure management, and materials science. Her work spans experimental assessments, numerical modeling, and field applications. Notable themes include the use of sensors and smartphone-based devices for damage detection, the development of pavement roughness prediction models under diverse climatic conditions, and the application of performance-based contracts for road networks. She has collaborated with international researchers and contributed to technical committees, including the World Road Association (PIARC), where she serves as the only Arab and Emirati member of the Asset Management Committee. Her research is characterized by a strong emphasis on practical implementation and policy relevance.[5]

Research Contributions

Soughah AlSamahi has made significant contributions to civil engineering through both research and practice. Key contributions include:

  • Structural Health Monitoring: Co-authored a study on an integrated approach for bridge damage detection using experimental assessments, published in Applied Sciences (2022). This work demonstrated the feasibility of low-cost sensors for real-time infrastructure monitoring.[3]
  • Pavement Performance Modeling: Led a comparative study on pavement roughness prediction models under different climatic conditions, published in Infrastructures (2024). The research provided insights into the effects of temperature and moisture on road deterioration, informing maintenance strategies for the UAE.[4]
  • Climate Change Adaptation: Published papers on flash flood risk assessment and rainfall change projections in the UAE, contributing to the development of climate-resilient infrastructure policies.
  • Asset Management Frameworks: Presented innovative approaches to road asset management at international conferences, including the IRF World Congress and the Roads and Traffic Expo Middle East.
  • Smart Solutions: Contributed to the development of a Road Asset Management System and participated in the open data team that improved the UAE’s global ranking in data transparency.

Publications

Soughah AlSamahi’s research portfolio includes impactful publications on structural health monitoring (Applied Sciences, 2022) using low-cost sensors for bridge damage detection [3], pavement roughness prediction under extreme climates (Infrastructures, 2024) [4], and advanced asphalt characterization for MEPDG implementation (Infrastructures, 2026) [5]. She has also presented conference papers on road asset management, flash flood mitigation, and climate change projections, demonstrating her broad engagement with infrastructure resilience challenges.

Selected peer-reviewed publications and conference papers authored or co-authored by Soughah AlSamahi include:

  • Fiandaca, D., Di Matteo, A., Patella, B., Moukri, N., Al Samahi, S., Inguanta, R., Llort, D., Mulone, A., et al. (2022). An integrated approach for structural health monitoring and damage detection of bridges: An experimental assessment. Applied Sciences, 12(24), 13018.
  • Al-Samahi, S., Zeiada, W., Al-Khateeb, G. G., Hamad, K., et al. (2024). A comparative study of pavement roughness prediction models under different climatic conditions. Infrastructures, 9(10), 167.
  • Al-Samahi, S., Zeiada, W., Al-Khateeb, G. G., Cherkaoui, A., Ezzat, H. (2026). Advanced Characterization of Asphalt Concrete Mixtures Towards Implementation of MEPDG in the UAE. Infrastructures, 11(1), 33.
  • Al Samahi, S. (2022). Road Asset Management: Innovative Approaches. Springer Conference Paper.
  • Al Samahi, S. (2024). Flash Floods: Risk assessment and Mitigation. ISEC Conference.
  • Al Samahi, S. (2023). Rainfall change projections under different climate change scenarios in UAE. Qatar Conference.

Research Impact

Soughah AlSamahi’s research has had tangible impacts on infrastructure policy and practice in the UAE. Her work on pavement performance models directly informs maintenance schedules for federal roads, contributing to cost savings and improved road safety. The flood risk assessment studies have been used to develop mitigation strategies for vulnerable areas in Ras AlKhaimah. Additionally, her contributions to the ISO 55001 certification of the Ministry and the implementation of performance-based contracts have enhanced asset management practices at a national level. Her engagement with international bodies such as PIARC and IRF ensures that UAE practices are aligned with global standards. She has also been actively involved in knowledge dissemination through training, mentoring, and media interviews, amplifying the reach of her research.[1]

Award Suitability

Soughah AlSamahi’s profile aligns strongly with the criteria for the Popular Engineer Awards. Her combination of academic rigor, professional experience, and leadership in applied engineering projects demonstrates a commitment to excellence and innovation. She has not only produced high-quality research but has also translated it into practical solutions that address real-world infrastructure challenges. Her recognition through internal and external awards, her active participation in youth councils and professional committees, and her dedication to mentoring the next generation of engineers underscore her suitability for this recognition. The Popular Engineer Awards seek individuals who embody the spirit of applied engineering, and AlSamahi’s career reflects this ethos comprehensively.

Conclusion

This article has provided a detailed account of Soughah AlSamahi’s academic and professional journey, highlighting her contributions to civil engineering, road asset management, and climate resilience. Her research output, project leadership, and commitment to continuous learning position her as a strong candidate for the Popular Engineer Awards. The integration of scientific inquiry with practical application, her collaborative spirit, and her dedication to public service exemplify the values of applied engineering. As she continues her Ph.D. studies and engages in transformative infrastructure projects, AlSamahi is poised to make further significant contributions to the field.

External Links

References

  1. Scopus. (n.d.). Scopus author details: Soughah AlSamahi, Author ID 58398057200. Scopus. https://www.scopus.com/pages/authors/58398057200
  2. ORCID. (n.d.). ORCID record for Soughah AlSamahi, ID 0009-0005-8213-8007. https://orcid.org/0009-0005-8213-8007
  3. Fiandaca, D., Di Matteo, A., Patella, B., Moukri, N., Al Samahi, S., Inguanta, R., Llort, D., Mulone, A., et al. (2022). An integrated approach for structural health monitoring and damage detection of bridges: An experimental assessment. Applied Sciences, 12(24), 13018. https://doi.org/10.3390/app122413018
  4. Al-Samahi, S., Zeiada, W., Al-Khateeb, G. G., Hamad, K., et al. (2024). A comparative study of pavement roughness prediction models under different climatic conditions. Infrastructures, 9(10), 167. https://doi.org/10.3390/infrastructures9100167
  5. Al-Samahi, S., Zeiada, W., Al-Khateeb, G. G., Cherkaoui, A., Ezzat, H. (2026). Advanced Characterization of Asphalt Concrete Mixtures Towards Implementation of MEPDG in the UAE. Infrastructures, 11(1), 33. https://doi.org/10.3390/infrastructures11010033

Vicente Pérez-García | Mechanical Engineering | Breakthrough Research Award

Published on by Popular Engineer

Breakthrough Research Award

Vicente Pérez-García
University of Guanajuato, Mexico
Vicente Pérez-García
Affiliation University of Guanajuato
Country Mexico
Scopus 56010310500
Documents 33
Citations 410
h-index 13
Subject Area Mechanical Engineering
Event Popular Engineer Awards
ORCID 0000-0002-2522-3812
Google Scholar IqBMK3UAAAAJ

Vicente Pérez-García is a researcher in Mechanical Engineering at the University of Guanajuato, Mexico. His work focuses on refrigeration systems, low-GWP refrigerants, and energy efficiency. With over 410 citations and an h-index of 13 (Scopus), he has contributed to experimental installations, heat pump instrumentation, and solar-powered refrigeration prototypes. He serves as Guest Editor for MDPI and Frontiers special issues, and collaborates internationally with Universitat Jaume I, Spain.[1]

Abstract

This article presents the research profile of Professor Vicente Pérez-García, highlighting his contributions to mechanical engineering, particularly in refrigeration and HVAC systems. His work includes experimental installations for low-GWP refrigerants, energy-saving configurations, and solar-powered mobile refrigeration. With a Scopus h-index of 13 and over 410 citations, his research has had a measurable impact. He has also contributed to doctoral training, international collaborations, and editorial roles in special issues on eco-friendly refrigeration. This profile supports his nomination for the Breakthrough Research Award at the Popular Engineer Awards.[2]

Keywords

Refrigeration · HVAC · low-GWP refrigerants · heat pumps · energy efficiency · solar cooling · experimental instrumentation · Scopus · h-index · mechanical engineering.

Introduction

The field of refrigeration and HVAC is undergoing a transformation driven by environmental regulations and energy efficiency demands. Researchers like Vicente Pérez-García are at the forefront of developing sustainable technologies and experimental methods. His work at the University of Guanajuato spans from fundamental heat transfer studies to applied projects with industry partners. This article reviews his academic and professional trajectory, research contributions, and impact, providing a comprehensive overview for the Breakthrough Research Award evaluation.[3]

Research Profile

Vicente Pérez-García holds a Doctorate in Mechanical Engineering from the University of Guanajuato, where he also obtained his Master’s and Bachelor’s degrees. He completed a research stay at Universitat Jaume I, Spain, and a professional internship at MABE Quantum in Celaya, Mexico. He is a member of the Sociedad Mexicana de Ingeniería Mecánica. His research areas include refrigeration, HVAC, and energy systems, with a focus on experimental instrumentation and sustainable technologies.[4]

Research Contributions

Pérez-García has led and contributed to multiple projects bridging academia and industry. Key contributions include:

  • Sizing and commissioning of an experimental installation for low-GWP refrigerants.
  • Implementation of an energy-saving configuration for dietetic ice pop freezing.
  • Instrumentation and commissioning of a water-source heat pump with low-GWP refrigerant.
  • Design and construction of a solar-powered mobile refrigeration prototype.
  • Obtaining the overall heat transfer coefficient in a tube-in-tube heat exchanger (also an industry consultancy project).

He has also served as guest editor for MDPI (Applied Sciences, special issue on eco-friendly refrigeration) and as guest associate editor for Frontiers (Low Global Warming Potential Refrigerants). He has supervised doctoral students and served on thesis committees at Universitat Jaume I, Instituto Tecnológico de Morelia, and Instituto Politécnico Nacional.[7][8]

Publications

Pérez-García has published 33 documents indexed in Scopus, with key contributions in thermal engineering. His 2013 paper on CO2 transcritical cycles ([3]) has received 61 citations, while his 2023 review on polystyrene pyrolysis ([4]) has garnered 55 citations. Another significant work on diffusion-absorption systems ([5]) has been cited 35 times. He also authored Memorias CiTeR 2024 (ISBN 978-607-26886-0-5). His editorial roles include guest editor for MDPI and Frontiers special issues ([7], [8]).

Selected highly cited publications are listed below. These works have contributed to the advancement of refrigeration and thermal systems.

  • Comparative study of transcritical vapor compression configurations using CO2 as refrigeration mode base on simulation
    V Pérez-García, JM Belman-Flores, J Navarro-Esbrí, C Rubio-Maya
    Applied Thermal Engineering 51 (1-2), 1038-1046 (2013).
    Citations: 61
  • A thermo-catalytic pyrolysis of polystyrene waste review: A systematic, statistical, and bibliometric approach
    AM Gonzalez-Aguilar, V Pérez-García, JM Riesco-Ávila
    Polymers 15 (6), 1582 (2023).
    Citations: 55
  • Energetic analysis of a diffusion–absorption system: a bubble pump under geometrical and operational conditions effects
    JM Belman-Flores, JL Rodríguez-Muñoz, C Rubio-Maya, V Pérez-García, et al.
    Applied Thermal Engineering 71 (1), 1-10 (2014).
    Citations: 35

Additionally, he has authored the book Memorias CiTeR 2024 (ISBN 978-607-26886-0-5).

Research Impact

Vicente Pérez-García’s research has achieved measurable impact through citations and international collaboration. Scopus data shows 410 citations and an h-index of 13 (as of 2026), while Google Scholar reports 568 citations and an h-index of 16. His work on CO2 transcritical cycles and polystyrene pyrolysis has been widely cited. He has been invited to serve on doctoral examination committees at Universitat Jaume I, Spain, reflecting his international standing. His editorial roles for MDPI and Frontiers further underscore his recognized expertise in low-GWP refrigerants and sustainable refrigeration technologies.[6]

Award Suitability

Professor Vicente Pérez-García is a strong candidate for the Breakthrough Research Award at the Popular Engineer Awards. His research portfolio demonstrates a consistent commitment to experimental innovation, sustainability, and practical applications in refrigeration and HVAC. His work bridges fundamental heat transfer analysis with industry-relevant prototype development, including solar-powered systems and energy-saving configurations. His publication record, international collaborations, and editorial contributions indicate a researcher who not only produces high-quality work but also actively shapes the research community. The award would recognize his significant contributions to mechanical engineering and his potential for future breakthroughs.[7]

Conclusion

This profile highlights the academic and research achievements of Vicente Pérez-García, a dedicated mechanical engineer whose work in refrigeration and HVAC has had a tangible impact. His experimental installations, energy-efficient designs, and solar-powered prototypes address real-world challenges. His scholarly output, including high-impact journal articles and editorial roles, positions him as a leader in his field. The Breakthrough Research Award would be a fitting recognition of his career and his ongoing contributions to sustainable engineering.[8]

External Links

References

  1. University of Guanajuato. (n.d.). Academic profile of Vicente Pérez-García. Department of Mechanical Engineering. https://www.ugto.mx/campusirapuatosalamanca/irse
  2. Elsevier. (n.d.). Scopus author details: Vicente Pérez-García, Author ID 56010310500. Scopus. https://www.scopus.com/pages/authors/56010310500
  3. Pérez-García, V., Belman-Flores, J.M., Navarro-Esbrí, J., & Rubio-Maya, C. (2013). Comparative study of transcritical vapor compression configurations using CO2 as refrigeration mode base on simulation. Applied Thermal Engineering, 51(1-2), 1038-1046. https://doi.org/10.1016/j.applthermaleng.2012.10.018
  4. Gonzalez-Aguilar, A.M., Pérez-García, V., & Riesco-Ávila, J.M. (2023). A thermo-catalytic pyrolysis of polystyrene waste review: A systematic, statistical, and bibliometric approach. Polymers, 15(6), 1582. https://doi.org/10.3390/polym15061582
  5. Belman-Flores, J.M., Rodríguez-Muñoz, J.L., Rubio-Maya, C., Pérez-García, V., et al. (2014). Energetic analysis of a diffusion–absorption system: a bubble pump under geometrical and operational conditions effects. Applied Thermal Engineering, 71(1), 1-10. https://doi.org/10.1016/j.applthermaleng.2014.06.034
  6. Pérez-García, V. (2024). Memorias CiTeR 2024 (ISBN 978-607-26886-0-5). University of Guanajuato Press.
  7. MDPI. (n.d.). Special Issue “Novel Ecofriendly Refrigeration System: Technology and Application”. Applied Sciences. https://www.mdpi.com/journal/applsci/special_issues/ABVI53W5D0
  8. Frontiers. (n.d.). Research Topic “Low Global Warming Potential Refrigerants”. Frontiers in Mechanical Engineering. https://www.frontiersin.org/research-topics/43501/low-global-warming-potentialrefrigerants

Dontabhaktuni Jaya Kumar | Computer Science and Artificial Intelligence | Lifetime Achievement Award

Published on by Popular Engineer

Lifetime Achievement Award

Dontabhaktuni Jaya Kumar
Kishkinda University, India
Dontabhaktuni Jaya Kumar
Affiliation Kishkinda University
Country India
Scopus ID 59839710900
Documents 4
Citations 26
h-index 3
Subject Area Computer Science and Artificial Intelligence
Event Popular Engineer Awards
ORCID 0000-0003-3779-9904
Google Scholar YTJQPJwAAAAJ

Dontabhaktuni Jaya Kumar is an Indian academic, researcher, and educator specializing in Artificial Intelligence, Embedded Systems, Computer Vision, Intelligent Transportation Systems, Deep Learning, and Applied Electronics Engineering. His academic and professional career spans more than sixteen years in higher education, research, engineering instruction, and interdisciplinary technology development. His research portfolio includes scholarly contributions in machine learning, autonomous systems, object detection, audio-based classification, image segmentation, embedded artificial intelligence, and intelligent vehicle technologies.[1][2]

Abstract

This article presents a scholarly overview of the academic achievements, research activities, teaching experience, publications, and professional contributions of Dontabhaktuni Jaya Kumar. His work spans Artificial Intelligence, Embedded Systems, Computer Vision, Intelligent Transportation Systems, Machine Learning, and Deep Learning applications. Through academic research, instructional leadership, publication output, and professional engagement, he has contributed to engineering education and technology-oriented research initiatives in India.[1]

Keywords

Artificial Intelligence, Embedded Systems, Communication Engineering, Embedded AI, Deep Learning, Computer Vision, Image Segmentation, Lane Detection, Intelligent Vehicles, Convolutional Neural Networks, Hyperparameter Tuning, U-Net Architecture, Autonomous Systems, Object Detection, Validation Accuracy, F1 Score, Machine Learning, Intelligent Transportation Systems.

Introduction

Dontabhaktuni Jaya Kumar has developed an academic profile combining engineering education, applied research, and institutional leadership. His doctoral research at VIT-AP University focused on the development of multimodal detection systems integrating visual and audio-based solutions for campus environments. His educational qualifications include a Ph.D. in Artificial Intelligence and Embedded Systems, M.Tech and B.Tech degrees in Electronics and Communication Engineering, and specialized training in computer applications and electronics technologies.[3][4]

Research Profile

His research interests include computer vision, autonomous vehicles, image processing, embedded artificial intelligence, object detection, semantic segmentation, audio signal analysis, and machine learning model optimization. Publication topics associated with his research include Advanced Driver Assistance Systems, Convolutional Neural Networks, Lane Detection, Intelligent Vehicles, Hyperparameter Tuning, Semantic Segmentation, Validation Accuracy, and Performance Evaluation Metrics.[3][4]

Academically, he has served in multiple teaching and leadership roles across engineering institutions and currently serves as Associate Professor in the Department of Artificial Intelligence and Machine Learning at Kishkinda University. His cumulative teaching experience exceeds sixteen years, encompassing instruction, curriculum development, student mentoring, research supervision, and departmental administration.

Research Contributions

Key research contributions include multimodal AI-based campus monitoring, YOLOv5 object detection, emergency vehicle audio classification, autonomous accident analysis, intelligent transportation systems, computer vision, deep learning optimization, and embedded AI applications.[3][4][5]

  • Development of multimodal campus detection systems integrating visual and audio-based intelligence.
  • Research on YOLOv5-based object detection models for campus-specific scenarios.
  • Investigation of emergency vehicle classification using temporal and spectral audio features.
  • Contributions to autonomous vehicle accident detection and event data recording systems.
  • Studies involving image segmentation, semantic segmentation, lane detection, and intelligent transportation systems.
  • Research and educational work in embedded systems, IoT applications, FPGA design, wireless communications, and signal processing.

Publications

Among his most significant research contributions are the 2024 YOLOv5-based campus object detection study for autonomous environments and an emergency vehicle audio-classification framework achieving up to 99.5% accuracy using machine learning and ensemble methods, advancing intelligent transportation and AI-enabled safety systems.[3][4][5]

Among his most visible scholarly works are publications addressing object detection, emergency vehicle classification, and intelligent transportation technologies.

  • Performance evaluation of YOLOv5-based custom object detection model for campus-specific scenario (2024).
  • Emergency vehicle classification using combined temporal and spectral audio features with machine learning algorithms (2024).
  • Autonomous Vehicle Accident Detection with Event Data Recording for Accident Analysis (2024).
  • Prompt Engineering and Generative AI Fundamentals (Book, 2026).
  • Numerous institutional and non-indexed publications in embedded systems, IoT, communication engineering, image processing, and applied artificial intelligence.

Research Impact

The research profile of Dontabhaktuni Jaya Kumar demonstrates measurable scholarly visibility through indexed publications, citations, and interdisciplinary research themes. His studies contribute to contemporary developments in intelligent transportation systems, computer vision, and machine learning applications. The integration of embedded systems with artificial intelligence represents a recurring theme throughout his research activities and publication record.[1][2]

Award Suitability

Consideration for a Lifetime Achievement Award may be supported by a combination of long-term academic service, engineering education leadership, research productivity, publication activity, professional development initiatives, and contributions to emerging fields such as Artificial Intelligence and Embedded Systems. His academic career includes extensive teaching experience, doctoral-level research, scholarly publications, professional certifications, conference participation, and recognition through the Engineering Faculty Awards 2026 conferred by AMET University, Chennai.

His sustained engagement in higher education, mentoring activities, curriculum development, and interdisciplinary research reflects a continuing commitment to engineering and technology education within Indian academic institutions.

Conclusion

Dontabhaktuni Jaya Kumar’s professional profile reflects a combination of academic qualification, teaching experience, applied research, publication activity, and institutional service. His contributions in Artificial Intelligence, Computer Vision, Embedded Systems, and Intelligent Transportation Systems demonstrate interdisciplinary engagement with emerging technological challenges. The available scholarly record indicates continuing participation in research and engineering education with recognized contributions to academic and professional communities.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Dontabhaktuni Jaya Kumar, Author ID 59839710900. Scopus. https://www.scopus.com/pages/authors/59839710900
  2. Google Scholar. (n.d.). Scholar profile of Dontabhaktuni Jaya Kumar. https://scholar.google.com/citations?user=YTJQPJwAAAAJ&hl=en&oi=sra
  3. Jayakumar, D., & Peddakrishna, S. (2024). Performance evaluation of YOLOv5-based custom object detection model for campus-specific scenario. International Journal of Experimental Research and Review, 38, 46–60. DOI: https://doi.org/10.52756/ijerr.2024.v38.005
  4. Jayakumar, D., Krishnaiah, M., Kollem, S., Peddakrishna, S., et al. (2024). Emergency vehicle classification using combined temporal and spectral audio features with machine learning algorithms. Electronics, 13(19), 3873. DOI: https://doi.org/10.3390/electronics13193873
  5. Shaik, Z. B., Dontabhaktuni, J., Bhavani, S., Dharani, C., Peddakrishna, S., et al. (2024). Autonomous Vehicle Accident Detection with Event Data Recording for Accident Analysis. 2024 4th International Conference on Artificial Intelligence and Signal Processing. DOI: https://doi.org/10.1109/AISP61711.2024.10870686

Zaid García Sánchez | Electrical Engineering | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

Zaid García Sánchez

Department of Industrial Engineering, Faculty of Engineering, University of the Balearic Islands, Spain.

Zaid García Sánchez
Affiliation University of the Balearic Islands
Country Spain
Scopus ID 57211291592
Documents 18
Citations 209
h-index 7
Subject Area Electrical Engineering
Event Popular Engineer Awards
ORCID 0000-0003-1989-9362
Google Scholar QYTP6VEAAAAJ

Zaid García Sánchez is an electrical engineer, researcher, academic leader, and postdoctoral scholar whose professional trajectory spans university teaching, electrical power system analysis, energy planning, renewable integration, and technological innovation. His career has included appointments at the University of the Balearic Islands, the University of Cienfuegos, and Universidad Central de las Villas, where he has contributed to research, postgraduate education, and the modernization of electrical power systems. His work focuses on voltage stability assessment, power system operation, renewable energy integration, energy efficiency, and software development for electrical network analysis.[1]

Abstract

This article summarizes the academic achievements, scientific trajectory, leadership activities, technological contributions, and professional impact of Zaid García Sánchez in the field of electrical engineering. His research has focused on power system stability, renewable energy integration, battery energy storage systems, electrical network planning, and advanced analytical software for national power system operation. Through academic leadership, international collaboration, and knowledge transfer initiatives, he has contributed to both scientific advancement and practical implementation in energy systems.[1]

Keywords

Electrical Power Systems; Voltage Stability; Renewable Energy Integration; Battery Energy Storage Systems; Energy Efficiency; Smart Grids; Power System Analysis; PSX Software; Electrical Engineering; Energy Policy.

Introduction

Since entering higher education in 2002, García Sánchez has developed a multidisciplinary career encompassing teaching, research, consultancy, and institutional leadership. His experience includes participation in national electrical system planning groups, advisory work in Cuba and Angola, collaboration with international research institutions, and contributions to national energy policy initiatives. His work has consistently connected theoretical research with operational applications in electrical networks and sustainable energy systems.[1]

Research Profile

García Sánchez obtained his Electrical Engineering degree in 2002, completed a Master’s degree in Electrical Systems in 2004, and earned a Doctorate in Technical Sciences in 2011. His doctoral work focused on voltage stability assessment methodologies, establishing a foundation for subsequent research in power system operation and dynamic stability analysis.

His scientific interests include electrical power system operation, voltage and frequency stability, renewable energy integration, microgrids, battery storage systems, energy efficiency, dynamic system modeling, optimization algorithms, and advanced software tools for electrical network analysis. He has collaborated with universities, national agencies, utilities, and international organizations across Europe, Latin America, and Africa.[2]

Research Contributions

Among his most significant scientific and technical achievements is the development of algorithms and computational methodologies for evaluating voltage stability and dynamic behavior in large-scale electrical systems. His research has supported planning and operational decision-making processes within national electrical networks and contributed to the incorporation of renewable energy resources into power grids.[1]

  • Development of voltage stability assessment algorithms for electrical power systems.
  • Modeling of photovoltaic plants, wind generation systems, batteries, and reactive power compensators.
  • Co-development of Power Systems Explorer (PSX) software for power system planning and operation.
  • Research on real-time operational assessment and optimization methodologies.
  • Integration of renewable generation and energy storage technologies into national electrical systems.

His medium- and long-term research objectives focus on digital transformation of power systems, resilience enhancement, energy transition strategies, sustainable grid modernization, and the deployment of intelligent analytical tools for renewable-rich electricity networks.

Publications

Zaid García Sánchez’s research focuses on battery energy storage systems, voltage stability, renewable energy integration, power system operation, and energy efficiency. His most cited works address optimal battery placement, fault-current behavior in grid-connected storage systems, and industrial energy-saving methodologies, demonstrating practical relevance for modern electrical networks and sustainable energy transitions.[3][4][5]

The researcher has authored and co-authored numerous scientific publications in international journals and conference proceedings indexed in Scopus, IEEE Xplore, and Web of Science databases. Representative publications include:

  • Saleh, S.A., Ozkop, E., Meng, R.J., Sanchez, Z.G., and colleagues. Selecting locations and sizes of battery storage systems based on the frequency of the center of inertia and principal component analysis. IEEE Transactions on Industry Applications, 2020.
  • Hernandez-Herrera, H., Silva-Ortega, J.I., Martínez Diaz, V.L., and collaborators. Energy savings measures in compressed air systems. International Journal of Energy Economics and Policy, 2020.
  • Saleh, S.A., Ozkop, E., Valdes, M.E., Yuksel, A., Haj-Ahmed, M., Sanchez, Z.G., and collaborators. On the factors affecting battery unit contributions to fault currents in grid-connected battery storage systems. IEEE Transactions on Industry Applications, 2022.

Research Impact

The impact of Zaid García Sánchez’s work extends beyond academia into industrial practice and national energy planning. His participation in software development, electrical system studies, and operational advisory activities has supported the modernization of energy infrastructure and analytical capabilities in multiple institutions. The PSX platform has been employed for planning and operational studies within national power systems, facilitating analyses of power flow, stability, short circuits, and renewable integration.

His achievements have been recognized through technological innovation awards, scientific excellence distinctions, and institutional recognitions, including National Technological Innovation Awards, awards from scientific forums, and distinctions granted by higher education authorities for contributions to science, innovation, and energy sector development.[2]

Award Suitability

The scientific trajectory of Zaid García Sánchez demonstrates characteristics commonly associated with distinguished research recognition. These include sustained scholarly productivity, leadership in competitive research initiatives, interdisciplinary collaboration, postgraduate supervision, technological transfer, and measurable impact on energy sector operations. His integration of theoretical research with practical implementation, particularly in electrical system stability and renewable energy deployment, reflects a research profile aligned with the objectives of engineering innovation awards.

His leadership as director of academic and research institutions, participation in national expert committees, and contributions to international collaborations further demonstrate a capacity to influence both scientific advancement and policy-oriented decision making within the energy domain.

Conclusion

Zaid García Sánchez has established a substantial academic and professional record in electrical engineering through research, teaching, institutional leadership, and technological innovation. His contributions to electrical power system stability, renewable energy integration, and analytical software development have generated academic, industrial, and societal value. The combination of scientific rigor, operational expertise, and knowledge transfer activities supports his recognition within the international engineering and energy research community.

References

  1. Elsevier. (n.d.). Scopus author details: Zaid García Sánchez, Author ID 57211291592. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57211291592
  2. Google Scholar. (n.d.). Scholar profile of Zaid García Sánchez. https://scholar.google.com/citations?user=QYTP6VEAAAAJ&hl=en&oi=sra
  3. Saleh, S.A., Ozkop, E., Meng, R.J., Sanchez, Z.G., et al. (2020). Selecting locations and sizes of battery storage systems based on the frequency of the center of inertia and principal component analysis. IEEE Transactions on Industry Applications. DOI: https://doi.org/10.1109/TIA.2019.2960003
  4. Hernandez-Herrera, H., Silva-Ortega, J.I., Martínez Diaz, V.L., et al. (2020). Energy savings measures in compressed air systems. International Journal of Energy Economics and Policy. DOI: https://doi.org/10.32479/ijeep.9059
  5. Saleh, S.A., Ozkop, E., Valdes, M.E., Yuksel, A., Haj-Ahmed, M., Sanchez, Z.G., et al. (2022). On the factors affecting battery unit contributions to fault currents in grid-connected battery storage systems. IEEE Transactions on Industry Applications. DOI: https://doi.org/10.1109/TIA.2022.3147149

Dinesh Kumar | Advanced Materials Engineering | Best Researcher Award

Published on by Popular Engineer

Best Researcher Award

Dinesh Kumar
Affiliation Dayalbagh Educational Institute, Agra
Country India
Scopus ID 56669984800
Documents 4
Citations 5
h-index 2
Subject Area Advanced Materials Engineering
Event Popular Engineer Awards
ORCID 0000-0002-7438-2780

Dinesh Kumar

Dayalbagh Educational Institute, Agra, India

The Best Researcher Award recognizes distinguished scholarly achievement, sustained scientific productivity, and meaningful contributions to engineering research. Dinesh Kumar, affiliated with Dayalbagh Educational Institute, Agra, has contributed to the field of Advanced Materials Engineering through scholarly publications indexed in Scopus. His research profile demonstrates continued academic engagement and measurable research impact based on citation metrics and publication records.[1]

Abstract

Dinesh Kumar has established an academic profile within Advanced Materials Engineering through peer-reviewed publications and indexed research outputs. His work contributes to the understanding of material development, engineering applications, and scientific investigation. Bibliometric indicators including publications, citations, and h-index provide quantitative evidence of scholarly activity and research visibility.[1]

Keywords

  • Advanced Materials Engineering
  • Materials Research
  • Engineering Science
  • Academic Publications
  • Scopus Author Profile
  • Research Impact

Introduction

Advanced Materials Engineering is an interdisciplinary field focused on the design, characterization, and application of materials with enhanced structural, functional, and technological properties. Researchers in this discipline contribute to innovations supporting manufacturing, energy, electronics, and sustainable engineering solutions. Academic recognition in this area is generally based on publication quality, citation performance, research relevance, and contributions to scientific advancement.[2]

Research Profile

Dinesh Kumar is affiliated with Dayalbagh Educational Institute, Agra, India. His Scopus Author ID (56669984800) identifies a research portfolio consisting of four indexed documents with five citations and an h-index of two. These bibliometric indicators reflect an emerging scholarly record within Advanced Materials Engineering and demonstrate participation in internationally indexed research literature.[1]

Research Contributions

  • Published peer-reviewed engineering research.
  • Contributed to investigations related to advanced engineering materials.
  • Supported scientific dissemination through indexed publications.
  • Participated in academic research aligned with engineering innovation.
  • Contributed to scholarly knowledge within materials engineering.

Publications

The author’s publication portfolio is indexed in Scopus and represents peer-reviewed scholarly contributions within Advanced Materials Engineering. Publication quality, citation performance, and accessibility through internationally recognized databases support academic visibility and research dissemination.[1]

  • Indexed engineering research articles.
  • Materials engineering publications.
  • Peer-reviewed scientific communications.

Research Impact

Research impact may be assessed through publication metrics, citation analysis, collaboration, and knowledge dissemination. Based on available bibliometric information, Dinesh Kumar’s research profile demonstrates measurable scholarly engagement. Citation indicators, together with indexed publications, contribute to the visibility of his academic work within engineering research communities.[1]

Award Suitability

Evaluation for the Popular Engineer Awards may consider publication quality, citation metrics, originality of research, engineering relevance, academic integrity, and overall scientific contribution. Based on publicly available bibliometric indicators, Dinesh Kumar demonstrates characteristics commonly considered during academic recognition processes. Final award decisions depend upon comprehensive review of the nomination, supporting documents, and evaluation criteria established by the organizing committee.[3]

Conclusion

Dinesh Kumar’s scholarly activities within Advanced Materials Engineering contribute to the academic literature through peer-reviewed publications indexed in Scopus. His documented research output, citation record, and institutional affiliation support a professional academic profile suitable for consideration in engineering recognition programs. Continued research productivity and collaboration are expected to strengthen future scholarly impact.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Dinesh Kumar, Author ID 56669984800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56669984800
  2. Evolution of shape memory alloys: Design, processing and engineering applications.
    https://doi.org/10.1016/j.jmrt.2026.06.237
  3. Popular Engineer Awards. (n.d.). Award Information and Nomination Guidelines.
    https://popularengineer.org/

 

S.D. Ravi sharma | Chemistry and Materials Science | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

S.D. Ravi Sharma
Annamalai University, India

S.D. Ravi Sharma
Affiliation Annamalai University
Country India
Subject Area Chemistry and Materials Science
Event Popular Engineer Awards
ORCID 0009-0000-0958-2834

S.D. Ravi Sharma is affiliated with Annamalai University, India, and is associated with scholarly activities in the field of Chemistry and Materials Science. The present article provides a structured overview of the research profile, scientific contributions, publication record, and broader academic significance of the researcher within the context of the Innovative Research Award presented through the Popular Engineer Awards platform.[1]

Abstract

The Innovative Research Award recognizes scholarly excellence, interdisciplinary engagement, and sustained contributions to scientific advancement. S.D. Ravi Sharma’s academic activities in chemistry and materials science reflect ongoing participation in research, experimentation, and scientific dissemination. This article summarizes the institutional background, thematic research interests, publication practices, and the relevance of the candidate’s profile to contemporary developments in chemical and materials sciences.[2]

Keywords

  • Chemistry and Materials Science
  • Innovative Research Award
  • Annamalai University
  • Scientific Publications
  • Materials Characterization
  • Chemical Research
  • Academic Impact
  • Research Evaluation

Introduction

Chemistry and materials science encompass a broad range of investigations involving molecular interactions, functional materials, synthesis methods, characterization techniques, and industrial applications. Universities and research institutions contribute significantly to this domain by supporting experimental studies and promoting international collaboration.[3]Annamalai University has maintained an active academic environment across numerous scientific disciplines, providing opportunities for researchers to engage in multidisciplinary projects and contribute to the advancement of scientific knowledge.

Research Profile

S.D. Ravi Sharma is associated with research activities within the chemistry and materials science domain. The research profile includes engagement with scientific literature, participation in academic discussions, and contributions to the understanding of material properties and chemical systems.[1]

Research Contributions

Research in chemistry and materials science often integrates experimental methodologies, analytical techniques, and theoretical frameworks to address challenges related to material performance and chemical processes. Contributions in this area may involve laboratory investigations, interdisciplinary collaboration, and the development of innovative applications.

Publications

Publication metrics, including documents, citations, and the h-index, provide quantitative indicators for evaluating scientific productivity and influence. Such metrics are commonly indexed through international scholarly databases and researcher identifiers.[2]

  1. Peer-reviewed journal articles in chemistry and materials science.
  2. Conference proceedings and technical communications.
  3. Publications associated with collaborative research activities.

Research Impact

The impact of scientific research extends beyond publication counts and includes educational influence, collaborative networks, methodological innovation, and contributions to future investigations. Research evaluation frameworks frequently incorporate citation indicators, open researcher identifiers, and institutional achievements.[2]Recognition through academic awards can enhance visibility for researchers and encourage broader engagement within the scientific community.

Award Suitability

The Innovative Research Award under the Popular Engineer Awards framework seeks to acknowledge researchers demonstrating academic excellence, scientific engagement, and contributions to their respective disciplines. S.D. Ravi Sharma’s institutional affiliation and involvement in chemistry and materials science align with the broader objectives of promoting innovation and scholarly achievement.

Conclusion

This article presents a structured academic overview of S.D. Ravi Sharma in connection with the Innovative Research Award. Through institutional affiliation, engagement in chemistry and materials science, and participation in scholarly communication, the profile illustrates the broader significance of research recognition within contemporary scientific communities.[1]

References

  1. ORCID. (n.d.). Author details: S.D. Ravi Sharma, ORCID identifier 0009-0000-0958-2834.
    https://orcid.org/0009-0000-0958-2834
  2. Unraveling the properties of gel-grown Monosodium urate crystal through multi-technique characterization.
    https://doi.org/10.1016/j.jics.2026.102623
  3. Popular Engineer Awards. (n.d.). Research Excellence Award and evaluation framework.
    https://popularengineer.org/

 

Vahid Rezaeipour | Agricultural Science and Innovation | Research Excellence Award

Published on by Popular Engineer

Research Excellence Award

Vahid Rezaei pour
Department of Animal Science, QaS.C, Islamic Azad University, Qaemshahr, Iran

Vahid Rezaei pour
Affiliation Department of Animal Science, QaS.C, Islamic Azad University, Qaemshahr, Iran
Country Iran
Scopus ID 55070941900
Documents 34
Citations 522
h-index 12
Subject Area Agricultural Science and Innovation
Event Popular Engineer Awards
ORCID 0000-0003-3651-2852

Vahid Rezaei pour is affiliated with the Department of Animal Science at QaS.C, Islamic Azad University in Qaemshahr, Iran. His scholarly work is associated with agricultural sciences, animal production systems, and innovation-oriented research in livestock management and related disciplines. According to indexed bibliometric records, his research portfolio includes numerous peer-reviewed publications and a measurable citation impact within the scientific community.[1] The present article provides an overview of the academic profile, research activities, scientific contributions, and recognition potential of Vahid Rezaei pour within the context of the Research Excellence Award and the Popular Engineer Awards program. The page follows a neutral and encyclopedic format inspired by scholarly reference works.[2]

Abstract

Vahid Rezaei pour has contributed to the advancement of agricultural science through scholarly investigations related to animal science, production systems, and innovative methodologies in livestock research. Indexed bibliometric indicators demonstrate sustained scientific activity characterized by peer-reviewed publications and international citations. This article summarizes his academic background, scientific achievements, and potential suitability for professional recognition through the Research Excellence Award framework.[1]

Keywords

  • Agricultural science
  • Animal science
  • Livestock production
  • Research excellence
  • Bibliometrics
  • Scientific innovation
  • Citation impact
  • Academic recognition

Introduction

Agricultural research plays an important role in supporting sustainable food systems, improving livestock productivity, and strengthening scientific understanding of animal management practices. Researchers working in this field contribute to interdisciplinary advances involving genetics, nutrition, physiology, and agricultural technologies.[3] Within this context, Vahid Rezaei pour has established a documented publication record indexed in major scientific databases. His work reflects ongoing engagement with agricultural innovation and the dissemination of scientific knowledge through peer-reviewed channels.[1]

Research Profile

The research profile of Vahid Rezaei pour is associated with the Department of Animal Science at Islamic Azad University, Qaemshahr. Bibliometric indicators currently report 34 indexed documents, 522 citations, and an h-index of 12, reflecting measurable scholarly engagement within the agricultural sciences.[1]

Research Contributions

Research contributions attributed to Vahid Rezaei pour encompass scientific studies related to livestock systems, agricultural productivity, and evidence-based approaches in animal science. These contributions support the development of practical and theoretical knowledge in agricultural research.

Publications

The publication record indexed under Scopus demonstrates continued scholarly productivity. Representative topics include agricultural systems, animal production, nutrition, and applied research in livestock sciences.[1]

  1. Peer-reviewed journal articles indexed in international databases.
  2. Collaborative publications in agricultural and animal sciences.
  3. Studies with measurable citation impact.
  4. Research outputs linked with persistent identifiers and DOI records.

Research Impact

Bibliometric metrics provide one indicator of scientific visibility and influence. The available data indicate that the research outputs of Vahid Rezaei pour have accumulated more than five hundred citations and achieved an h-index of 12, demonstrating sustained engagement from the research community.[1] Citation-based indicators should be interpreted alongside qualitative measures such as originality, interdisciplinary relevance, and contributions to agricultural practice.

Award Suitability

The Research Excellence Award recognizes sustained scientific productivity, measurable scholarly impact, and meaningful contributions to disciplinary advancement. Based on available bibliometric indicators and publication activity, Vahid Rezaei pour demonstrates several characteristics commonly associated with academic recognition programs.[2]

Conclusion

Vahid Rezaei pour’s academic profile reflects an ongoing commitment to agricultural science, scholarly publication, and the dissemination of research findings. Indexed bibliometric records indicate continued engagement with the international scientific community. The combination of publication output, citation metrics, and institutional affiliation provides a basis for consideration within academic recognition initiatives such as the Research Excellence Award.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Vahid Rezaei pour, Author ID 55070941900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55070941900
  2. Popular Engineer Awards. (n.d.). Research Excellence Award and evaluation framework.

    Popular Engineer Awards


  3. Effects of sesame meal bioactive peptides, individually or in combination with a mixture of essential oils, on growth performance, carcass, jejunal morphology, and microbial composition of broiler chickens
    .https://doi.org/10.1007/s11250-022-03232-5

Dheeraj Singh Negi | Social Sciences | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

Dheeraj Singh Negi
Lingayas’s Vidyapeeth Deemed to be University, India

Dheeraj Singh Negi
Affiliation Lingayas’s Vidyapeeth Deemed to be University
Country India
Scopus ID 56450494100
Documents 4
Citations 21
h-index 2
Subject Area Social Sciences
Event Popular Engineer Awards
ORCID 0000-0003-3719-899X

Dr. Dheeraj Singh Negi is affiliated with Lingayas’s Vidyapeeth Deemed to be University, India, and is recognized for scholarly contributions within the field of social sciences. His research output, indexed through international citation databases, reflects interdisciplinary engagement with contemporary academic themes and emerging research methodologies. The Innovative Research Award acknowledges sustained scholarly activity, publication record, and measurable research impact within higher education and scientific communities.[1]

Abstract

The Innovative Research Award recognizes researchers whose academic work demonstrates originality, methodological rigor, and measurable scholarly influence. Dr. Dheeraj Singh Negi has contributed to social science scholarship through publications indexed in major citation databases and through participation in institutional research activities. Bibliometric indicators, including publications, citations, and author-level metrics, provide quantitative evidence of research engagement and academic productivity.[1]

Keywords

  • Innovative research
  • Social sciences
  • Academic impact
  • Scholarly publications
  • Research evaluation
  • Citation analysis
  • Higher education research
  • Interdisciplinary studies

Introduction

Contemporary research environments emphasize interdisciplinary collaboration, data-driven inquiry, and social relevance. Universities and academic institutions increasingly evaluate scholarly performance using publication records, citation metrics, and contributions to knowledge dissemination. Within this context, the Innovative Research Award highlights researchers whose work contributes to academic advancement and broader intellectual development.[2] As an academic associated with Lingayas’s Vidyapeeth Deemed to be University, Dr. Dheeraj Singh Negi participates in research activities that align with evolving standards of scholarly excellence and institutional innovation.[1]

Research Profile

The research profile of Dr. Dheeraj Singh Negi is characterized by contributions indexed within recognized academic databases. According to author records, the profile includes four indexed documents, twenty-one citations, and an h-index of two, reflecting ongoing scholarly engagement and academic visibility.[1]

Research Contributions

Research contributions in the social sciences frequently involve theoretical analysis, empirical investigation, policy interpretation, and interdisciplinary frameworks. The publication portfolio associated with Dr. Negi demonstrates participation in scholarly discourse and contributes to the exchange of academic knowledge across institutional and disciplinary boundaries.[1] Academic contributions are commonly evaluated using citation-based indicators, peer-reviewed publications, and the ability to address socially relevant questions. Such indicators provide important evidence for recognition programs and research awards.[3]

Publications

The available publication record indexed under Scopus identifies four scholarly documents attributed to Dr. Dheeraj Singh Negi. These publications contribute to the measurable research footprint associated with his academic profile.[1]

  • Peer-reviewed scholarly articles indexed in international databases.
  • Research outputs supporting interdisciplinary discussion within social sciences.
  • Publications associated with recognized author identifiers.
  • Citation-linked research contributions documented through bibliometric systems.

Research Impact

Bibliometric indicators provide an important framework for assessing research visibility and influence. Citation counts and author-level metrics such as the h-index remain widely used in academic evaluation systems and institutional rankings.[3] The citation record associated with Dr. Negi reflects engagement from the broader academic community and indicates the relevance of his work within established scholarly networks.[1]

Award Suitability

Eligibility for the Innovative Research Award is typically determined through an assessment of research originality, publication quality, citation performance, and institutional contribution. Dr. Dheeraj Singh Negi’s documented academic record, supported by international researcher identifiers and indexed publications, aligns with commonly accepted evaluation criteria used in scholarly recognition programs.[4]

Conclusion

The academic profile of Dr. Dheeraj Singh Negi reflects sustained participation in research activities and scholarly publication. Through contributions indexed in recognized bibliometric databases, his work demonstrates engagement with contemporary themes in the social sciences. The Innovative Research Award serves as a formal acknowledgment of academic achievement, institutional contribution, and continuing research development.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Dr. Dheeraj Singh Negi, Author ID 56450494100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56450494100
  2. ORCID. (n.d.). ORCID profile record for Dr. Dheeraj Singh Negi.
    https://orcid.org/0000-0003-3719-899X
  3. AI Open research Plagiarism Dupli Checker, Scribbr Plagiarism Checker, Quetext, Small SEO Tools Plagiarism Checker Web Technology: comparative study.
    https://doi.org/10.1108/lhtn-03-2024-0049
  4. Popular Engineer Awards. (n.d.). Award categories, eligibility criteria, and recognition framework.
    https://popularengineer.org/