Fadi Ibrahim | Nanotechnology in Energy | Nanomaterials Innovation Recognition

Published on by Global Nano Awards

Nanomaterials Innovation Recognition

Fadi Ibrahim
Al Shujaa ibn Al Aslam School, Kuwait

Fadi Ibrahim
Affiliation Al Shujaa ibn Al Aslam School
Country Kuwait
Documents 2
Subject Area Nanotechnology in Energy
Event Global Nano Awards
ORCID 0009-0005-1959-3875

Fadi Ibrahim is a chemistry educator and researcher affiliated with the Al Shujaa ibn Al Aslam School in Kuwait. His documented research activity includes work in nanomaterials and energy-related applications, with a 2026 journal article examining an ultra-fast photothermal counter-drone system for safeguarding civilian infrastructure. [1]

Fadi Ibrahim is listed as Head of the Chemistry Department at the Ministry of Education, Kuwait, with an organizational address in Az Zahrā’, Hawalli. His research record presently identifies one documented publication, and the available bibliographic information records no citations and an h-index of zero. These metrics represent the current documented record rather than a measure of the broader potential or significance of future research activity. [2]

Abstract

The research record of Fadi Ibrahim includes the journal article EgyKw Counter-Drone System: Ultra-Fast Photothermal Neutralization for Safeguarding Civilian Infrastructure, published through Zenodo on 3 August 2026. The work describes a photothermal approach to counter-drone technology and places nanomaterials-related innovation within the broader context of infrastructure protection. [1]

Keywords

  • Nanomaterials
  • Nanotechnology in Energy
  • Photothermal Technology
  • Counter-Drone Systems
  • Civilian Infrastructure Protection

Introduction

Nanomaterials research increasingly intersects with energy conversion, photothermal processes, sensing, and advanced engineering. Within this interdisciplinary landscape, photothermal systems can provide mechanisms for converting absorbed electromagnetic energy into localized heat. Ibrahim’s documented 2026 publication applies this general technological concept to a counter-drone system intended to address risks to civilian infrastructure. [3]

Research Profile

Ibrahim’s professional profile combines chemistry education with research activity. The available employment record identifies the Ministry of Education, Kuwait, and the role of Head of Chemistry Department. His ORCID record is identified as 0009-0005-1959-3875. [2]

Research Contributions

The documented contribution centers on the development and description of an ultra-fast photothermal neutralization concept for counter-drone applications. Its relevance to nanotechnology in energy arises from the utilization of energy absorption and thermal-response principles in an advanced technological system. The publication provides a basis for further technical assessment, validation, and interdisciplinary research. [1]

Publications

  • EgyKw Counter-Drone System: Ultra-Fast Photothermal Neutralization for Safeguarding Civilian Infrastructure. Zenodo, 3 August 2026.

Research Impact

The current bibliographic record lists one document, zero citations, and an h-index of zero. Accordingly, measurable citation impact remains limited at this stage. The research topic nevertheless connects chemistry, photothermal energy conversion, nanotechnology, and infrastructure security, offering an interdisciplinary direction for subsequent investigation and development. [4]

Award Suitability

For the Global Nano Awards, the documented work may be considered relevant to recognition themes involving nanotechnology, energy-related materials, photothermal processes, and emerging technological applications. Award suitability should ultimately be determined through the applicable evaluation criteria, supporting documentation, originality assessment, and independent review procedures. [5]

Conclusion

Fadi Ibrahim’s documented academic record includes a 2026 Zenodo publication addressing an ultra-fast photothermal counter-drone concept. His professional chemistry background and identified research interest in nanotechnology in energy provide an interdisciplinary foundation for continued scholarly development. Future publications, independent validation, and citation growth may provide additional evidence for assessing the longer-term research impact of this work.

References

  1. Ibrahim, F. (2026). EgyKw Counter-Drone System: Ultra-Fast Photothermal Neutralization for Safeguarding Civilian Infrastructure. Zenodo. DOI: 10.5281/zenodo.21779511.
    https://doi.org/10.5281/zenodo.21779511
  2. ORCID. (n.d.). ORCID record: Fadi Ibrahim, 0009-0005-1959-3875.
    https://orcid.org/0009-0005-1959-3875
  3. Zenodo. (2026). EgyKw Counter-Drone System: Ultra-Fast Photothermal Neutralization for Safeguarding Civilian Infrastructure. Publication record dated 3 August 2026.
    https://doi.org/10.5281/zenodo.21779511
  4. Global Nano Awards. (n.d.). Global Nano Awards — Official Website.
    https://globalnanoawards.com/
  5. International Organization for Standardization. (n.d.). Nanotechnologies — Terminology and concepts. ISO.

Jyoti Mittal | Advanced Nanomaterials | Innovative Nanomaterials Research Award

Published on by Global Nano Awards

Innovative Nanomaterials Research Award

Jyoti Mittal
Maulana Azad National Institute of Technology Bhopal, M.P., INDIA

Jyoti Mittal
Affiliation Maulana Azad National Institute of Technology Bhopal
Country India
Scopus ID 7103100771
Documents 70
Citations 11,451
h-index 47
Subject Area Advanced Nanomaterials
Event Global Nano Awards
ORCID 0000-0001-6910-3815

Jyoti Mittal is a researcher affiliated with Maulana Azad National Institute of Technology Bhopal, India, whose reported scholarly record includes substantial work involving advanced nanomaterials, adsorption, pollutant removal, and water treatment. The supplied Scopus metrics list 70 documents, 11,451 citations, and an h-index of 47. [1] Her publication record includes studies of halloysite-based adsorbents, eggshell-derived sorbents, nanoparticles, and low-cost materials for environmental remediation.

Abstract

Jyoti Mittal’s research profile reflects an interdisciplinary focus on nanomaterials and adsorption-based environmental applications. Her reported publications examine materials and processes relevant to pollutant removal, including halloysite, eggshell-derived adsorbents, hen feather, and europium-doped yttrium vanadate nanoparticles. These studies address adsorption behavior, kinetics, thermodynamics, and material characterization, contributing to the development of alternative approaches for water purification and environmental remediation. [2]

Keywords

  • Advanced Nanomaterials
  • Adsorption
  • Water Treatment
  • Environmental Remediation
  • Nanoparticles

Introduction

Nanomaterials can provide high surface area and tunable chemical properties that are useful in adsorption and separation technologies. Mittal’s reported research is particularly associated with the investigation of unconventional and engineered sorbents for removing contaminants from aqueous systems. Her work includes reviews as well as experimental studies, allowing comparison of material properties and adsorption mechanisms across different sorbent classes. [3]

Research Profile

The research profile represented by the supplied publication record spans nanomaterials, adsorption science, wastewater treatment, and low-cost environmental technologies. A recurring theme is the evaluation of naturally available or engineered materials as sorbents for metal ions and dyes. The work therefore connects materials science with practical environmental applications.

Research Contributions

  • Review and assessment of halloysite-based adsorbents for water and wastewater pollutants. [2]
  • Investigation of eggshell and eggshell membrane as alternative adsorption materials. [3]
  • Study of YVO4:Eu3+ nanoparticles for Cd2+ removal, including kinetic and isotherm analysis. [4]
  • Evaluation of biomass-derived sorbents for dye and chromium removal. [5]

Publications

  • A review on halloysite-based adsorbents to remove pollutants in water and wastewater — Journal of Molecular Liquids, 2018.
  • Applications of egg shell and egg shell membrane as adsorbents: A review — Journal of Molecular Liquids, 2016.
  • Synthesis and characterization of YVO4:Eu3+ nanoparticles: kinetics and isotherm studies for the removal of Cd2+ metal ion — Desalination and Water Treatment, 2016.
  • Hen Feather: A Remarkable Adsorbent for Dye Removal — Green Chemistry for Dyes Removal from Waste Water: Research Trends and Applications, 2015.
  • Separation of chromium from water samples using eggshell powder as a low-cost sorbent: kinetic and thermodynamic studies — Desalination and Water Treatment, 2015.

Research Impact

The supplied bibliometric record reports 11,451 citations and an h-index of 47, indicating substantial citation activity associated with the researcher’s indexed scholarly output. [1] The publication themes also demonstrate relevance to environmental nanotechnology, particularly the development and assessment of sorbent materials for water purification.

Award Suitability

Based on the supplied research record, Jyoti Mittal’s work is aligned with an Innovative Nanomaterials Research Award because it combines nanomaterial development and characterization with environmental applications. Her studies on nanoparticles and alternative adsorbents address technically relevant challenges in contaminant removal and demonstrate an application-oriented dimension within advanced nanomaterials research. Final award decisions should remain subject to the formal evaluation criteria of the Global Nano Awards.

Conclusion

Jyoti Mittal’s supplied academic record presents a research profile centered on advanced nanomaterials, adsorption, and environmental remediation. The combination of experimental investigations, review publications, and reported bibliometric indicators provides a basis for considering her work within the scope of innovative nanomaterials research and related environmental applications.

References

  1. Elsevier. (n.d.). Scopus author details: Jyoti Mittal, Author ID 7103100771. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7103100771
  2. Mittal, J., et al. (2018). A review on halloysite-based adsorbents to remove pollutants in water and wastewater. Journal of Molecular Liquids.  https://doi.org/10.1016/j.molliq.2018.08.104
  3. Mittal, J., et al. (2016). Applications of egg shell and egg shell membrane as adsorbents: A review. Journal of Molecular Liquids.  https://doi.org/10.1016/j.molliq.2016.08.065
  4. Mittal, J., et al. (2016). Synthesis and characterization of YVO4:Eu3+ nanoparticles: kinetics and isotherm studies for the removal of Cd2+ metal ion. Desalination and Water Treatment.
    https://doi.org/10.1080/19443994.2014.986205
  5. Mittal, J., et al. (2015). Separation of chromium from water samples using eggshell powder as a low-cost sorbent: kinetic and thermodynamic studies. Desalination and Water Treatment.
    https://doi.org/10.1080/19443994.2013.837011

Sevda Rzayeva | Nanomaterials for Energy | Best Academic Researcher Award

Published on by Global Nano Awards

Best Academic Researcher Award

Sevda Rzayeva
Associate Professor, Azerbaijan State Oil and Industry University (ASOIU), Azerbaijan.

Sevda Rzayeva
Affiliation Azerbaijan State Oil and Industry University (ASOIU)
Country Azerbaijan
Scopus ID 56702404200
Documents 165
Citations 13,911
h-index 64
Subject Area Nanomaterials for Energy
Event Global Nano Awards
ORCID 0009-0006-9747-397

Sevda Rzayeva is an Azerbaijani academic researcher whose reported research profile is associated with computational and theoretical investigations of advanced nanostructures, particularly silicon carbide nanotubes, doped semiconductor systems, electronic properties, magnetism, and hydrogen-energy-related materials. Her academic record includes doctoral training in High Energy Physics and postdoctoral education in Computational Physics.

Abstract

Sevda Rzayeva is an Associate Professor at Azerbaijan State Oil and Industry University. Her research profile encompasses computational physics and nanoscale materials modelling, with particular attention to the electronic, magnetic, structural, and adsorption characteristics of semiconductor nanotubes and doped nanomaterials. Recent publications address transition-metal-doped silicon carbide nanotubes, substituted ZnSe systems, and hydrogen adsorption for potential energy applications. These studies employ first-principles and density functional theory (DFT)-based approaches to investigate structure–property relationships in nanoscale systems.

Keywords

  • Nanomaterials for Energy
  • Computational Physics
  • Density Functional Theory
  • Silicon Carbide Nanotubes
  • Electronic and Magnetic Properties

Introduction

Computational nanomaterials research provides a theoretical framework for understanding how atomic substitution, transition-metal doping, and surface interactions influence nanoscale materials. Rzayeva’s reported publications fall within this area, with emphasis on semiconductor nanotubes and computational prediction of their physical properties. Her recent work also connects nanoscale modelling with hydrogen-energy research through investigation of H2 adsorption mechanisms. [1]

Research Profile

Rzayeva’s academic qualifications include a PhD in High Energy Physics from the Azerbaijan National Institute of Physics, completed in 2012, followed by postdoctoral training in Computational Physics at the Ministry of Science Institute of Physics and Education of the Republic of Azerbaijan. From September 2025, she has been associated with Azerbaijan State Oil and Industry University as an Associate Professor.

Research Contributions

The reported research examines how elemental doping and substitution modify electronic and magnetic characteristics in nanoscale semiconductor systems. Studies of vanadium-, cobalt-, aluminium-, and gallium-modified silicon carbide nanotubes provide computational assessments of electronic structure, magnetic behaviour, and stability. [2] [3] Related work on ZnSe substitution further explores transition-metal effects on semiconductor properties. [4]

Publications

  1. “Hydrogen energy technologies: Activation and magnetic tuning in Fe-decorated SiC nanotubes via Kubas-type H2 adsorption: DFT+U insights,” Materials Science in Semiconductor Processing, 2026.  [5]
  2. “Electronic and magnetic characteristics of Vanadium doped single-walled silicon carbide nanotubes: DFT study,” Turkish Computational and Theoretical Chemistry, 2025.
  3. “Theoretical investigation of electronic and magnetic characteristics of ZnSe substituted and co-substituted with TM,” International Journal of Modern Physics B, 2025.
  4. “Electronic and Magnetic Properties of Cobalt Doped SiCNT: A First-Principles Study,” Politeknik Dergisi, 2025.
  5. “Prediction of electronic, magnetic, and structural stability characteristics in Al- and Ga-doped single-walled SiC nanotubes: ab initio study using DFT,” Physical Chemistry Chemical Physics, 2025.

Research Impact

The supplied bibliometric profile reports 165 documents, 13,911 citations, and an h-index of 64. These indicators provide quantitative evidence of scholarly visibility, although bibliometric values can change over time and should be interpreted according to the indexing database and date of retrieval. [1]

Award Suitability

Based on the supplied research record, Rzayeva’s work is relevant to the Best Academic Researcher Award under the Global Nano Awards framework, particularly because her recent studies address computational nanomaterials, nanotube-based systems, electronic and magnetic properties, and hydrogen-energy applications. The combination of academic experience, research publications, and reported bibliometric indicators provides a documented basis for consideration. [5]

Conclusion

Sevda Rzayeva’s academic profile reflects an interdisciplinary connection between computational physics and nanomaterials research. Her reported studies of doped nanotubes, semiconductor systems, and hydrogen adsorption demonstrate continued investigation of nanoscale properties relevant to advanced materials and energy technologies.

References

  1. Elsevier. (n.d.). Scopus author details: Sevda Rzayeva, Author ID 56702404200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56702404200
  2. Rzayeva, S. (2025). Electronic and magnetic characteristics of Vanadium doped single-walled silicon carbide nanotubes: DFT study. Turkish Computational and Theoretical Chemistry.
    https://doi.org/10.33435/tcandtc.1535679
  3. Rzayeva, S. (2025). Electronic and Magnetic Properties of Cobalt Doped SiCNT: A First-Principles Study. Politeknik Dergisi.  https://doi.org/10.2339/politeknik.1536597
  4. Rzayeva, S. (2025). Theoretical investigation of electronic and magnetic characteristics of ZnSe substituted and co-substituted with TM. International Journal of Modern Physics B.
    https://doi.org/10.1142/S0217979225502017
  5. Rzayeva, S. (2026). Hydrogen energy technologies: Activation and magnetic tuning in Fe-decorated SiC nanotubes via Kubas-type H2 adsorption: DFT+U insights. Materials Science in Semiconductor Processing.
    https://doi.org/10.1016/j.mssp.2026.111115
  6. Rzayeva, S. (2025). Prediction of electronic, magnetic, and structural stability characteristics in Al- and Ga-doped single-walled SiC nanotubes: ab initio study using DFT. Physical Chemistry Chemical Physics.
    https://doi.org/10.1039/D5CP03523F

Nikos Chaniotakis | NanoBiotechnology | Best Researcher Award

Published on by Global Nano Awards

Best Researcher Award

Nikos Chaniotakis 
University of Crete, Greece

Nikos Chaniotakis
Affiliation University of Crete
Country Greece
Scopus ID 7003577130
Documents 114
Citations 5,829
h-index 40
Subject Area NanoBiotechnology
Event Global Nano Awards
ORCID 0000-0003-4281-1373

Nikos Chaniotakis is a researcher affiliated with the University of Crete, Greece, whose documented scholarly profile encompasses NanoBiotechnology and related interdisciplinary areas. His indexed record comprises 114 documents, 5,829 citations and an h-index of 40, according to the supplied Scopus profile information.[1] His recent publication record includes work spanning nanocage-mediated enzyme stabilization, cannabinoid receptor biology, biopolymer production and biodegradation of phenolic compounds.[2][3]

Abstract

The academic profile of Nikos Chaniotakis reflects research activity at the intersection of NanoBiotechnology, biotechnology and biomedical science. His publication record includes studies addressing nanocage-based enzyme stabilization, retinal cannabinoid receptors, microbial biopolymer production and biological degradation of grape-derived phenolic compounds.[2][3][4] These subjects demonstrate an interdisciplinary research profile connecting nanoscale systems with biological and environmental applications.

Keywords

NanoBiotechnology; nanocages; enzyme stabilization; biotechnology; cannabinoid receptors; microbial biopolymers; polyhydroxybutyrate; phenolic biodegradation; grape pomace; environmental biotechnology.

Introduction

NanoBiotechnology combines nanoscale engineering with biological systems to develop functional approaches in medicine, sensing, biotechnology and environmental science. Within this broad field, Chaniotakis’s documented publications illustrate research involving nanoscale encapsulation, biological receptors and microbial processes. The diversity of these topics supports an interdisciplinary interpretation of his research activities rather than restricting them to a single application area.

Research Profile

The supplied bibliometric profile lists 114 documents, 5,829 citations and an h-index of 40.[1] His ORCID identifier, 0000-0003-4281-1373, provides a persistent researcher identifier for distinguishing scholarly contributions across publication systems.[6]

Research Contributions

  • Investigation of nanocage-mediated enzyme stabilization and the influence of particle size and charge.[2]
  • Study of cannabinoid receptor and reactive microglia responses in retinal models.[3]
  • Research on polyhydroxybutyrate production using genetically modified Pseudomonas and wine-industry waste.[4]
  • Investigation of microbial biodegradation of phenolic compounds derived from grape pomace.[5]

Publications

  • Nanocage-Mediated Enzyme Stabilization: The Effect of Size and Charge.
    Sensors and Actuators B: Chemical, August 2026.
  • Investigating the Effects of Exogenous and Endogenous 2-Arachidonoylglycerol on Retinal CB1 Cannabinoid Receptors and Reactive Microglia in Naive and Diseased Retina.
    International Journal of Molecular Sciences, October 2023.
  • Production of Polyhydroxybutyrate by Genetically Modified Pseudomonas sp. phDV1: A Comparative Study of Utilizing Wine Industry Waste as a Carbon Source.
    Microorganisms, June 2023.
  • Biodegradation of phenolic compounds from grape pomace of Vitis vinifera Asyrtiko by Chlamydomonas reinhardtii.
    Journal of Chemical Technology & Biotechnology, 2023.

Research Impact

The reported citation count and h-index indicate an established indexed publication record.[1] The subject breadth of the listed publications also demonstrates relevance to biotechnology, biomedical research and environmental applications. Such interdisciplinary work can contribute to the development of biologically compatible nanosystems and sustainable bioprocesses.

Award Suitability

For the Global Nano Awards, the profile presents several characteristics relevant to consideration for a Best Researcher Award, including a substantial indexed publication record, measurable citation impact, an h-index of 40, and research connecting nanotechnology with biological and environmental systems. Final award decisions should be based on the applicable evaluation criteria and independently verified records.

Conclusion

Nikos Chaniotakis’s documented scholarly profile represents interdisciplinary activity relevant to NanoBiotechnology. His publication portfolio and reported bibliometric indicators provide a substantive basis for academic recognition, while his recent research illustrates applications ranging from nanoscale enzyme stabilization to biological and environmental biotechnology.

References

  1. Elsevier. (n.d.). Scopus author details: Nikos Chaniotakis, Author ID 7003577130. Scopus.https://www.scopus.com/pages/authors/7003577130
  2. “Nanocage-Mediated Enzyme Stabilization: The Effect of Size and Charge.” Sensors and Actuators B: Chemical. 2026.https://doi.org/10.1016/j.snb.2026.140690
  3. “Investigating the Effects of Exogenous and Endogenous 2-Arachidonoylglycerol on Retinal CB1 Cannabinoid Receptors and Reactive Microglia in Naive and Diseased Retina.” International Journal of Molecular Sciences. 2023.https://doi.org/10.3390/ijms242115689
  4. “Production of Polyhydroxybutyrate by Genetically Modified Pseudomonas sp. phDV1: A Comparative Study of Utilizing Wine Industry Waste as a Carbon Source.” Microorganisms. 2023.https://doi.org/10.3390/microorganisms11061592
  5. “Biodegradation of phenolic compounds from grape pomace of Vitis vinifera Asyrtiko by Chlamydomonas reinhardtii.” Journal of Chemical Technology & Biotechnology. 2023.https://doi.org/10.1002/JCTB.7326
  6. ORCID. (n.d.). Nikos Chaniotakis — ORCID 0000-0003-4281-1373.https://orcid.org/0000-0003-4281-1373

Seyed Javad Mirabedini | Emerging Nano Trends | Innovative Researcher Award

Published on by Global Nano Awards

Innovative Researcher Award

Seyed Javad Mirabedini
Islamic Azad University, Iran

Seyed Javad Mirabedini
Affiliation Islamic Azad University
Country Iran
Scopus ID 23392908000
Documents 41
Citations 270
h-index 9
Subject Area Emerging Nano Trends
Event Global Nano Awards
ORCID 0000-0002-4309-1761

Seyed Javad Mirabedini is a researcher affiliated with Islamic Azad University whose publication record spans computational modeling, biomedical signal processing, recommender systems, and applied mathematical analysis. His documented scholarly output includes work on probabilistic neural networks, singular value decomposition, contextual recommender systems, entropy-based methods, and fractional Brownian motion. These areas collectively illustrate an interdisciplinary profile connecting computational methods with applications in science and engineering.

Abstract

Seyed Javad Mirabedini’s academic profile reflects multidisciplinary research using mathematical, computational, and data-driven approaches. His recent publication applies fractional Brownian motion and Hurst exponent analysis to financial modeling through an FFT–MCMC methodology, demonstrating interest in stochastic processes and computational analysis.[1] Earlier research addresses disease detection using a portable medical device and probabilistic neural networks, as well as recommendation-system methodologies based on singular value decomposition and contextual information.[2][4]

Keywords

  • Computational modeling
  • Fractional Brownian motion
  • Probabilistic neural networks
  • Recommender systems
  • Emerging Nano Trends

Introduction

Mirabedini’s documented research illustrates the use of quantitative methods across different application domains. The combination of mathematical modeling, machine learning, information retrieval, and biomedical computation is relevant to emerging interdisciplinary research, where computational frameworks can support analysis of complex systems and decision-making.

Research Profile

The supplied bibliographic record lists 41 documents, 270 citations, and an h-index of 9. His publications include journal and research outputs in applied mathematics, biomedical signal processing, computer standards, and electronic commerce. This distribution indicates a research profile centered on computational techniques rather than a single narrowly defined application area.

Research Contributions

A notable contribution is the application of fractional Brownian motion and Hurst exponent analysis in financial modeling, combining FFT and MCMC approaches for computational investigation.[1] Another research direction applies probabilistic neural networks to portable disease-detection technology, connecting computational intelligence with biomedical applications.[2] His recommender-system studies further examine SVD, context information, feature entities, and entropy-based approaches for addressing sparsity and recommendation challenges.[3][4]

Publications

  • Application of Fractional Brownian Motion (fBm) and Hurst Exponent Analysis in Financial Modeling: A Biophysics-Based FFT–MCMC Method. AppliedMath, 2026.
  • A portable medical device for detecting diseases using Probabilistic Neural Network. Biomedical Signal Processing and Control, 2022.
  • Model-driven approach running route two-level SVD with context information and feature entities in recommender system. Computer Standards and Interfaces, 2022.
  • Multi-Objective Entropy FCSVD: Contextual Spectrum Analysis for Prototyping Recommender Systems. ResearchSquare, 2022.[4]

Research Impact

The reported citation count and h-index provide quantitative indicators of the visibility of the research record. The publications also demonstrate application-oriented work across financial modeling, healthcare technology, and recommender systems, offering examples of computational methods being adapted to distinct scientific and engineering problems.

Award Suitability

For the Global Nano Awards, the documented profile may be considered under an interdisciplinary recognition framework associated with Emerging Nano Trends. Evaluation should be based on independently verifiable scholarly contributions, publication quality, research relevance, citation indicators, and the relationship between the candidate’s documented work and the specific award criteria.

Conclusion

Seyed Javad Mirabedini presents a multidisciplinary academic profile characterized by computational and mathematical approaches applied to biomedical systems, recommender technologies, and financial modeling. The available publication and bibliometric information provides a basis for considering his work within an interdisciplinary research-recognition context.

References

  1. AppliedMath. “Application of Fractional Brownian Motion (fBm) and Hurst Exponent Analysis in Financial Modeling: A Biophysics-Based FFT–MCMC Method.” 2026;6(8):127.
    https://doi.org/10.3390/appliedmath6080127.
  2. Biomedical Signal Processing and Control. “A portable medical device for detecting diseases using Probabilistic Neural Network.” 2022. https://doi.org/10.1016/j.bspc.2021.103142.
  3. Computer Standards and Interfaces. “Model-driven approach running route two-level SVD with context information and feature entities in recommender system.” 2022. https://doi.org/10.1016/j.csi.2022.103627.
  4. ResearchSquare. “Multi-Objective Entropy FCSVD: Contextual Spectrum Analysis for Prototyping Recommender Systems.” 2022. https://doi.org/10.21203/rs.3.rs-1464476.
  5. Electronic Commerce Research. “Correction to: Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems.” 2022.
    10.1007/s10660-021-09497-6.

This academic recognition profile is based on the bibliographic and researcher information supplied for this page. Publication details and bibliometric indicators should be independently verified against the relevant scholarly databases and publisher records.

 

Sudharani Banappagoudar | Nanotechnology in Medicine and Healthcare | Innovative Researcher Award

Published on by Global Nano Awards

Innovative Researcher Award

Sudharani Banappagoudar
College of Applied Medical Sciences, King Faisal University, Al Hasa, Saudi Arabia

Sudharani Banappagoudar
Affiliation College of Applied Medical Sciences, King Faisal University
Country Saudi Arabia
Scopus ID 57989159300
Documents 21
Citations 52
h-index 2
Subject Area Nanotechnology in Medicine and Healthcare
Event Global Nano Awards
ORCID 0000-0002-7259-769X

The Innovative Researcher Award recognizes sustained scholarly contributions that demonstrate scientific quality, interdisciplinary collaboration, and practical relevance. Sudharani Banappagoudar has contributed to healthcare technology, medical nanotechnology, disease prediction, artificial intelligence applications, and clinical research through peer-reviewed publications spanning healthcare analytics, medical imaging, and public health investigations.[1]

Abstract

Sudharani Banappagoudar’s research portfolio reflects interdisciplinary engagement across healthcare technologies, nanotechnology, clinical decision support, machine learning, and medical diagnostics. Published studies examine disease prediction, cervical cancer screening, occupational health, and healthcare workforce wellbeing. The research demonstrates practical applications of computational methods in improving clinical decision-making while supporting evidence-based healthcare practices.[1]

Keywords

  • Nanotechnology
  • Healthcare Analytics
  • Machine Learning
  • Medical Imaging
  • Clinical Research

Introduction

Modern healthcare increasingly depends on computational intelligence, predictive analytics, and advanced biomedical technologies. The research activities of Sudharani Banappagoudar contribute to this evolving landscape by integrating artificial intelligence with healthcare applications, enabling improved disease identification, healthcare management, and technology-assisted diagnosis.[2]

Research Profile

According to the supplied research metrics, the researcher has produced 21 indexed publications with 52 citations and an h-index of 2. Research interests include nanotechnology in medicine, intelligent healthcare systems, clinical informatics, biomedical image analysis, and healthcare management. These indicators demonstrate active scholarly participation while highlighting continued development in interdisciplinary biomedical research.[3]

Research Contributions

Recent investigations include studies on technostress and burnout among healthcare professionals, machine learning prediction of noncommunicable diseases in Saudi Arabia, automated cervical cancer screening from Pap smear images, and hybrid learning approaches for drone detection systems. Collectively, these publications illustrate methodological diversity and interdisciplinary collaboration between computing and healthcare sciences.[1][4]

Publications

  • Technostress, Perceived Organizational Support, and Burnout Among Healthcare Professionals (2026).
  • Longitudinal Trends in Noncommunicable Disease Risk Factors in Saudi Arabia (2026).
  • TF-ViS-CvC Automated Cervical Cancer Screening (2025).
  • Classification of Drone Detection Module using Hybrid Learning Algorithms (2024).

Research Impact

The available publication record demonstrates continuing contributions toward healthcare innovation through computational techniques. Research outputs address practical healthcare challenges including workforce wellbeing, disease surveillance, predictive analytics, and medical image processing. Such interdisciplinary work supports the growing integration of engineering, artificial intelligence, and clinical sciences.[2]

Award Suitability

The research portfolio aligns with the objectives of the Global Nano Awards by demonstrating innovation in healthcare technologies and scientific collaboration. Peer-reviewed publications, interdisciplinary methodology, and measurable scholarly activity provide an appropriate basis for consideration under the Innovative Researcher Award category.[5]

Conclusion

Sudharani Banappagoudar has established a research profile centered on healthcare innovation supported by computational methodologies. The documented publications, citation record, and interdisciplinary focus collectively demonstrate continuing engagement with scientific research relevant to modern medicine, healthcare technology, and biomedical engineering.

External Links

References

  1. Banappagoudar S. Technostress, Perceived Organizational Support, and Burnout Among Healthcare Professionals. Nursing Reports (2026).  https://doi.org/10.3390/nursrep16070239
  2. Banappagoudar S. Longitudinal Trends in Noncommunicable Disease Risk Factors and Premature Mortality in Saudi Arabia. Journal of Clinical Medicine (2026).  https://doi.org/10.3390/jcm15114387
  3. Research metrics compiled from supplied Scopus author information and institutional profile.
  4. Banappagoudar S. TF-ViS-CvC: Automated Transforming Vision Based Cervical Cancer Screening. International Journal of Information Technology (2025).  https://doi.org/10.1007/s41870-024-02336-5
  5. Banappagoudar S. Classification of Drone Detection Module using Hybrid Learning Algorithms. ICACITE 2024.
    https://doi.org/10.1109/ICACITE60783.2024.10616656

 

Marco Zeppieri | Emerging Nano Trends | Innovative Researcher Award

Published on by Global Nano Awards

 

Innovative Researcher Award

Marco Zeppieri
Affiliation University Hospital of Udine: Udine, Friuli-Venezia Giulia, IT
Country Italy
Scopus ID 6507929376
Documents 198
Citations 2,798
h-index 28
Subject Area Emerging Nano Trends
Event Global Nano Awards
ORCID 0000-0003-0999-5545

Marco Zeppieri

University Hospital of Udine: Udine, Friuli-Venezia Giulia, Italy

The Innovative Researcher Award recognizes sustained scholarly achievement, interdisciplinary collaboration, and measurable scientific influence. Marco Zeppieri has developed a substantial publication record in ophthalmology, translational medicine, stem cell applications, and clinical vision research while contributing to evidence-based healthcare. His scientific profile demonstrates continued productivity through peer-reviewed publications, international collaboration, and citation impact, reflecting a balanced combination of clinical expertise and research dissemination.[1]

Abstract

Marco Zeppieri’s academic portfolio reflects continuing contributions to ophthalmic sciences, regenerative medicine, ocular pathology, and translational clinical research. His publications address diagnostic innovation, neuro-ophthalmology, stem cell applications, and patient-centered healthcare while maintaining scientific rigor through peer-reviewed dissemination. Citation metrics and publication volume indicate sustained scholarly engagement across multiple research themes.[2]

Keywords

  • Ophthalmology
  • Stem Cell Research
  • Clinical Vision Science
  • Translational Medicine
  • Innovative Research Award

Introduction

Modern ophthalmic research increasingly integrates clinical practice with regenerative medicine and evidence-based diagnostics. Marco Zeppieri’s work reflects this interdisciplinary approach by investigating ocular diseases, neuro-ophthalmology, stem cell therapies, and patient outcomes. His research emphasizes practical clinical relevance while contributing to scientific understanding through international publication and collaboration.[3]

Research Profile

The research profile includes 198 indexed publications, approximately 2,798 citations, and an h-index of 28. These indicators demonstrate sustained productivity and consistent scholarly visibility. Research activities span clinical ophthalmology, ocular toxicology, corneal disease, regenerative medicine, and multidisciplinary healthcare research while supporting international scientific communication.[4]

Research Contributions

Major contributions include investigations into cocaine-induced ocular toxicity, stem cell-based therapeutic strategies for neurotrophic keratopathy, psychological aspects of glaucoma care, and regenerative applications in reconstructive medicine. These studies demonstrate integration of laboratory science, clinical observation, and multidisciplinary collaboration to address contemporary healthcare challenges.[5]

Publications

  • Cocaine-Induced Ocular Toxicity (Diseases, 2026).
  • Stem Cell-Based Approaches for Neurotrophic Keratopathy (Sensory Neuroscience, 2026).
  • Beyond Vision: Depression in Glaucoma Patients (World Journal of Psychiatry, 2026).
  • Stem Cell Transplantation in Head and Neck Oncology (World Journal of Transplantation, 2026).

Research Impact

The publication portfolio demonstrates continuing influence through citations, interdisciplinary collaboration, and practical clinical relevance. Research findings contribute to improved understanding of ocular disease mechanisms, regenerative therapies, and patient management strategies. The measurable citation profile indicates recognition within the scientific community while supporting future innovation in vision science and translational medicine.[2]

Award Suitability

Based on publication productivity, citation performance, interdisciplinary research, and recent peer-reviewed contributions, Marco Zeppieri demonstrates characteristics consistent with recognition by the Global Nano Awards under the Innovative Researcher Award category. The profile reflects continuous academic engagement, responsible scientific practice, and meaningful contributions to biomedical research.[1]

Conclusion

Marco Zeppieri’s scholarly record illustrates a sustained commitment to advancing ophthalmology, regenerative medicine, and translational healthcare research. His combination of scientific productivity, citation impact, and clinically relevant investigations provides a strong academic foundation for professional recognition while continuing to support innovation and evidence-based medical practice.

External Links

References

  1. Research profile information based on supplied institutional and bibliometric data.
  2. Zeppieri M. Cocaine-Induced Ocular Toxicity. Diseases. 2026.
    https://doi.org/10.3390/diseases14080274
  3. Zeppieri M. Stem Cell-Based Approaches for Neurotrophic Keratopathy. Sensory Neuroscience.
    https://doi.org/10.1002/sen2.70037
  4. Zeppieri M. Beyond Vision: The Overlooked Burden of Depression in Glaucoma Patients. World Journal of Psychiatry.
    https://doi.org/10.5498/wjp.v16.i6.116408
  5. Zeppieri M. Stem Cell Transplantation in Head and Neck Oncology. World Journal of Transplantation.
    https://doi.org/10.5500/wjt.v16.i2.117675

 

Mahmoud Abdelsalam | Advanced Nanomaterials | Research Excellence Award

Published on by Global Nano Awards

Research Excellence Award

Mahmoud Abdelsalam
City of Scientific Research and Technological Applications, Egypt

Mahmoud Abdelsalam
Affiliation City of Scientific Research and Technological Applications
Country Egypt
Scopus ID 57226298905
Documents 15
Citations 219
h-index 7
Subject Area Advanced Nanomaterials
Event Global Nano Awards
ORCID 0000-0002-5995-3661

Mahmoud Abdelsalam is a researcher whose work integrates advanced nanomaterials, animal nutrition, feed safety, ruminal fermentation, and sustainable agricultural technologies. His scholarly contributions demonstrate the application of nanotechnology to improve livestock productivity while reducing environmental impacts associated with greenhouse gas emissions and mycotoxin contamination. His publication profile, citation record, and interdisciplinary research activities support his recognition for the Research Excellence Award.[1]

Abstract

Mahmoud Abdelsalam’s research focuses on developing innovative nanomaterial-based solutions for agricultural and veterinary applications. His investigations include nano-montmorillonite composites, feed additives, forage quality, ruminal fermentation optimization, and greenhouse gas mitigation. By combining nanotechnology with animal science, his studies contribute to safer livestock production systems, improved feed efficiency, and environmentally responsible agricultural practices. These contributions demonstrate consistent scientific productivity supported by peer-reviewed publications and measurable research impact.[2]

Keywords

Advanced Nanomaterials; Nano-Montmorillonite; Animal Nutrition; Ruminal Fermentation; Feed Safety; Greenhouse Gas Reduction; Livestock Productivity; Agricultural Nanotechnology.

Introduction

Modern agricultural research increasingly relies on interdisciplinary approaches that integrate nanotechnology, veterinary science, and sustainable production systems. Mahmoud Abdelsalam has contributed to this field through studies addressing feed quality, toxin mitigation, forage management, and nutritional efficiency. His work supports scientific efforts aimed at improving animal health while minimizing environmental impacts associated with livestock production.[3]

Research Profile

Affiliated with the City of Scientific Research and Technological Applications in Egypt, Mahmoud Abdelsalam has established a research profile characterized by interdisciplinary collaboration and practical innovation. His Scopus record includes 15 indexed publications with 219 citations and an h-index of 7, reflecting sustained academic influence in nanotechnology and agricultural sciences.[1]

Research Contributions

  • Development of amino acid-montmorillonite nanocomposites for improved ruminal fermentation.
  • Evaluation of nano-based strategies to reduce aflatoxin toxicity in livestock feed.
  • Investigation of forage teosinte productivity and harvest optimization.
  • Research on methane reduction and greenhouse gas mitigation using nanotechnology-based feed additives.

Publications

  • Sowing Date and Age at Harvest Affect the Productivity, Quality and Ruminal Fermentation Degradation of Forage Teosinte (2026).
  • Amino acid-montmorillonite nanocomposites: preparation, characteristics and biological effects (2026).
  • Performance of Holstein Dairy Cows Fed Rosemary and Ginger Essential Oils (2025).
  • In vitro efficacy of CETAB-modified nano-montmorillonite against aflatoxin toxicity (2025).

Research Impact

The research outcomes contribute to sustainable livestock systems by improving feed utilization, reducing environmental emissions, and enhancing food safety. The integration of nanotechnology into animal nutrition offers practical solutions that may benefit researchers, veterinarians, and agricultural industries. Citation performance further indicates recognition by the scientific community.[4]

Award Suitability

Based on documented scholarly achievements, interdisciplinary research activities, and measurable publication impact, Mahmoud Abdelsalam demonstrates qualifications consistent with the objectives of the Global Nano Awards. His work illustrates how advanced nanomaterials can address practical agricultural challenges while supporting sustainability and scientific innovation.[5]

Conclusion

Mahmoud Abdelsalam has developed a balanced research portfolio combining nanotechnology, veterinary sciences, and sustainable agriculture. His contributions to feed safety, environmental protection, and livestock nutrition demonstrate scientific relevance and continuing academic engagement. These achievements support his recognition within international research award platforms focused on advanced nanomaterials.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Mahmoud Abdelsalam, Author ID 57226298905.
    https://www.scopus.com/authid/detail.uri?authorId=57226298905
  2. Abdelsalam, M. (2026). Sowing Date and Age at Harvest Affect the Productivity, Quality and Ruminal Fermentation Degradation of Forage Teosinte. Agronomy.
    https://doi.org/10.3390/agronomy16151429
  3. Abdelsalam, M. (2026). Amino acid-montmorillonite nanocomposites. Journal of the Science of Food and Agriculture.
    https://doi.org/10.1002/jsfa.70821
  4. Abdelsalam, M. (2025). Performance Of Holstein Dairy Cows Fed A Diet Supplemented With Rosemary And Ginger Essential Oils.
    https://doi.org/10.2478/aoas-2024-0103
  5. Abdelsalam, M. (2025). In vitro efficacy of CETAB-modified nano-montmorillonite against aflatoxin B1 associated toxicity.
    https://doi.org/10.1186/s12917-025-04546-w

Asra Sarwat | Nanoengineering and Nanofabrication | Excellence in Research Award

Published on by Global Nano Awards

Excellence in Research Award

Asra Sarwat
Affiliation Harbin Institute of Technology Shenzhen
Country China
Scopus ID 58956274200
Documents 3
Citations 5
h-index 1
Subject Area Nanoengineering and Nanofabrication
Event Global Nano Awards
ORCID 0009-0002-8298-843X

Asra Sarwat

Harbin Institute of Technology Shenzhen, China

Asra Sarwat is a researcher working in the field of nanoengineering, intelligent robotic systems, nonlinear control, and advanced motion control methodologies. Her research focuses on integrating adaptive control algorithms, fuzzy logic, sliding mode control, and feedback linearization for multi-degree-of-freedom robotic mechanisms and prosthetic systems. These studies contribute to improving precision, adaptability, and real-time performance in complex electromechanical applications while supporting advances in intelligent automation and biomedical robotics.[1]

Abstract

The research activities of Asra Sarwat are centered on intelligent control strategies for robotic systems operating under uncertain and nonlinear conditions. Her publications investigate adaptive backstepping control, fuzzy approximation, and high-order sliding mode methods for articulated robotic manipulators and prosthetic hands. These approaches seek to improve trajectory tracking, system robustness, and computational efficiency while addressing real-time implementation challenges. The work combines theoretical control design with practical engineering applications relevant to advanced robotics, nanoengineering, and intelligent manufacturing technologies.[2]

Keywords

Nanoengineering, Nanofabrication, Adaptive Backstepping Control, Fuzzy Logic Control, Prosthetic Hands, Robotic Manipulators, High-Order Sliding Mode Control, Feedback Linearization, Intelligent Robotics, Nonlinear Systems.

Introduction

Modern robotic platforms require reliable nonlinear control techniques capable of responding to uncertain environments while maintaining high accuracy. Research in adaptive and intelligent control has become increasingly important for biomedical devices, prosthetic systems, and industrial automation. Asra Sarwat contributes to this area by examining mathematical control frameworks that integrate adaptive learning with robust nonlinear control methods, thereby supporting efficient operation of complex multi-degree-of-freedom systems.[3]

Research Profile

Her academic profile reflects an emerging research focus on robotic control, intelligent algorithms, and advanced engineering design. Affiliated with Harbin Institute of Technology Shenzhen, she has authored research addressing adaptive controllers for articulated systems and prosthetic devices. These investigations demonstrate interdisciplinary collaboration across robotics, automation, control engineering, and nanoengineering applications.[1]

Research Contributions

  • Developed adaptive backstepping control strategies integrated with fuzzy approximation techniques.
  • Investigated nonlinear control approaches for multi-DoF articulated robotic systems.
  • Applied high-order sliding mode control and feedback linearization to robotic hand control.
  • Contributed to research supporting intelligent prosthetic technologies and real-time robotic motion control.

Publications

  • Adaptive Backstepping Control with Fuzzy Logic for Real-Time Motion Control of a Multi-DoF Articulated Systems (Preprint, 2026).
  • Real-Time Adaptive Backstepping Control Enhanced by Fuzzy Approximation for Multi-(DOF) Prosthetic Hands (Preprint, 2026).
  • Nonlinear Control of a Fully Actuated Robotic Hand Using High-Order Sliding Mode and Feedback Linearization Controllers. PLOS ONE, 2025.

Research Impact

Although currently at an early stage of publication activity, the research demonstrates methodological innovation in adaptive nonlinear control and intelligent robotic systems. The combination of fuzzy approximation, adaptive learning, and robust control contributes to improving robotic precision and reliability. Such work has potential relevance for future biomedical engineering, intelligent prosthetics, autonomous systems, and advanced manufacturing research.[4]

Award Suitability

Based on the available scholarly record, Asra Sarwat demonstrates promising contributions to nanoengineering and intelligent robotic control through peer-reviewed and preprint publications. The interdisciplinary character of her work, together with its relevance to real-time robotic systems and advanced engineering technologies, aligns with the objectives of the Global Nano Awards in recognizing emerging scientific achievement and innovative research excellence.[5]

Conclusion

Asra Sarwat’s research integrates advanced nonlinear control theory with practical robotic applications. Her contributions to adaptive backstepping, fuzzy logic, and sliding mode control illustrate an emerging research trajectory within nanoengineering and intelligent systems. Continued development of these methodologies may support future advances in biomedical robotics, autonomous control, and precision engineering.

References

  1. Elsevier. (n.d.). Scopus author details: Asra Sarwat, Author ID 58956274200. Scopus.
    https://www.scopus.com/pages/authors/58956274200
  2. Sarwat, A. (2026). Adaptive Backstepping Control with Fuzzy Logic for Real-Time Motion Control of a Multi-DoF Articulated Systems.
    https://doi.org/10.2139/ssrn.6389541
  3. Sarwat, A. (2026). Real-Time Adaptive Backstepping Control Enhanced by Fuzzy Approximation for Multi-(DOF) Prosthetic Hands.
    https://doi.org/10.2139/ssrn.6256110
  4. Sarwat, A. (2025). Nonlinear Control of a Fully Actuated Robotic Hand Using High-Order Sliding Mode and Feedback Linearization Controllers. PLOS ONE.
    https://doi.org/10.1371/journal.pone.0333512
  5. Global Nano Awards. (n.d.). International Recognition Program for Nanotechnology Research Excellence.
    https://globalnanoawards.com/

Imo Enang | Computational Nanotechnology | Innovative Researcher Award

Published on by Global Nano Awards

Innovative Researcher Award

Imo Enang
Florida Atlantic University, United States
Imo Enang
Affiliation Florida Atlantic University
Country United States
Scopus ID 59481273800
Documents 5
Citations 9
h-index 2
Subject Area Computational Nanotechnology
Event Global Nano Awards
ORCID 0000-0003-1586-2175

Imo Enang is a researcher affiliated with Florida Atlantic University whose scholarly work spans computational nanotechnology, digital transformation, industrial cybersecurity, governance, and technology-enabled decision systems. His research integrates computational methods with organizational strategy to examine how intelligent technologies, risk management, and analytical frameworks improve decision quality across complex environments. His publications demonstrate interdisciplinary collaboration while emphasizing practical implementation and evidence-based innovation.[1][2]

Abstract

Imo Enang’s academic portfolio reflects an interdisciplinary approach that combines computational technologies, governance, cybersecurity, and strategic management. His research emphasizes transparent decision-making, digital resilience, and technology adoption within modern organizations. Through peer-reviewed publications, he explores how computational intelligence and structured governance frameworks can strengthen industrial systems, cloud transformation initiatives, and organizational strategy. The body of work contributes to contemporary discussions on responsible innovation while demonstrating the practical value of computational approaches across multiple technology-driven domains.[2]

Keywords

  • Computational Nanotechnology
  • Digital Strategy
  • Cybersecurity
  • Decision Governance
  • Industry 4.0
  • Cloud Transformation

Introduction

Rapid technological advancement has increased the importance of computational research capable of integrating engineering, governance, and organizational strategy. Imo Enang’s scholarly activities investigate how intelligent digital systems can support secure, accountable, and adaptive decision-making. His publications examine industrial cybersecurity, authentic intelligence, strategic governance, and project management within digital transformation environments, providing relevant insights for researchers and practitioners alike.[3]

Research Profile

According to Scopus records, Imo Enang has authored five indexed publications with nine citations and an h-index of two. His research portfolio demonstrates consistent engagement with emerging technological challenges involving computational analysis, industrial systems, organizational governance, and strategic innovation. His interdisciplinary perspective enables collaboration across engineering, information systems, and management disciplines while addressing practical societal and industrial needs.[1]

Research Contributions

His research contributions include developing conceptual models for accountable decision governance, evaluating cybersecurity risks in Industry 4.0 environments, examining strategic recalibration under uncertainty, and investigating project management capability during cloud transformation initiatives. These studies contribute to broader understanding of technology governance, computational decision support, and digital resilience across organizational settings.[3][4]

Publications

  • Strategy in Motion: An Auditable Decision Architecture for Strategic Recalibration in Volatile Markets (2026).
  • Cybersecurity Risk in Industrial Control Systems in Industry 4.0 (2026).
  • Authentic Intelligence in Digital Strategy Systems: A Socio-Technical Analysis of Human-Accountable Decision Governance (2026).
  • Project Management Capability and Resistance in Cloud Transformation: Configurational Evidence from African E-Commerce (2025).

Research Impact

Although representing an emerging publication portfolio, the research demonstrates relevance to digital governance, cybersecurity, computational technologies, and organizational resilience. The interdisciplinary character of the work supports academic dialogue while providing practical implications for decision-makers operating within digitally transformed environments. The integration of computational thinking with management and engineering perspectives highlights the evolving role of intelligent systems in addressing contemporary industrial challenges.[4][5]

Award Suitability

Based on the available scholarly record, Imo Enang demonstrates qualities associated with emerging interdisciplinary research, including peer-reviewed publications, contributions to computational technologies, and investigations into secure digital transformation. These achievements align with the objectives of the Global Nano Awards, which recognize researchers advancing scientific innovation through impactful and ethically grounded research.[1]

Conclusion

Imo Enang’s research portfolio illustrates an interdisciplinary commitment to computational innovation, cybersecurity, governance, and digital strategy. His published studies contribute valuable perspectives on accountable technology adoption and resilient organizational systems. Continued research activity within these evolving fields is expected to further strengthen the academic and practical significance of his scholarly contributions.[5]

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Imo Enang, Author ID 59481273800. Scopus.
    https://www.scopus.com/pages/authors/59481273800
  2. Enang, I. (2026). Strategy in Motion: An Auditable Decision Architecture for Strategic Recalibration in Volatile Markets. Strategy & Leadership.
    https://doi.org/10.1108/SL-05-2026-0211
  3. Enang, I. (2026). Cybersecurity Risk in Industrial Control Systems in Industry 4.0. Systems.
    https://doi.org/10.3390/systems14070837
  4. Enang, I. (2026). Authentic Intelligence in Digital Strategy Systems. Systems.
    https://doi.org/10.3390/systems14030259
  5. Enang, I. (2025). Project Management Capability and Resistance in Cloud Transformation. Journal of Theoretical and Applied Electronic Commerce Research.
    https://doi.org/10.3390/jtaer20040329