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

Benedetta Amicizia | Computational Nanoscience | Innovative Researcher Award

Published on by Global Nano Awards

Innovative Researcher Award

Benedetta Amicizia
Researcher Benedetta Amicizia
Affiliation University of Bologna
Country Italy
Scopus ID 57212607514
Documents 5
Citations 27
h-index 2
Subject Area Computational Nanoscience
Event Global Nano Awards
ORCID 0000-0003-3003-8133

Benedetta Amicizia

University of Bologna, Italy

Benedetta Amicizia is affiliated with the University of Bologna, Italy, and has contributed to interdisciplinary research involving computational mathematics, interval analysis, fuzzy systems, and computational methodologies relevant to nanoscience. Her scholarly work emphasizes mathematical modeling, interval-valued functions, and uncertainty quantification, providing analytical frameworks applicable to computational nanoscience and advanced scientific computing. With publications indexed in Scopus and research appearing in internationally recognized journals, her academic profile demonstrates a developing contribution to theoretical and applied computational research.[1]

Abstract

This article summarizes the academic profile of Benedetta Amicizia in recognition of her eligibility for the Innovative Researcher Award. Her research integrates interval mathematics, fuzzy-valued calculus, computational modeling, and mathematical analysis to address uncertainty in complex systems. Recent publications demonstrate continued advancement in interval orders, climate modeling, and computational methodologies that may support applications across computational nanoscience and mathematical sciences.[2]

Keywords

Computational Nanoscience, Interval Analysis, Fuzzy Calculus, Mathematical Modeling, Polar Orders, Interval-Valued Functions, Scientific Computing, Applied Mathematics.

Introduction

Modern computational nanoscience increasingly depends on rigorous mathematical techniques for modeling uncertainty, optimization, and data interpretation. Benedetta Amicizia’s research aligns with this direction by developing analytical methods for interval-valued functions, fuzzy systems, and computational representations that support reliable scientific investigation. These mathematical foundations contribute to broader computational research where precision and uncertainty management are essential.[3]

Research Profile

Affiliated with the University of Bologna, Benedetta Amicizia has authored five Scopus-indexed publications with 27 citations and an h-index of 2. Her investigations focus on interval analysis, generalized Hukuhara derivatives, fuzzy-valued functions, and mathematical structures for computational applications. The progression of her publications indicates sustained engagement with theoretical research and interdisciplinary scientific collaboration.[1]

Research Contributions

  • Development of mathematical frameworks for interval-valued functions.
  • Research on fuzzy-valued function calculus and midpoint representation.
  • Investigation of polar orders on lattices of real intervals.
  • Application of computational models to climate and agricultural systems.

Publications

  • Polar Orders on Lattices of Real Intervals (2026).
  • Modeling the Impact of Climate Variables on Agriculture through the F-transform (2026).
  • Fuzzy-Valued Functions Calculus Through Midpoint Representation (2025).
  • Interval Analysis and Calculus for Interval-Valued Functions of a Single Variable (2019).

Research Impact

Although at an early stage of scholarly development, Benedetta Amicizia’s publications demonstrate methodological consistency and address mathematically rigorous problems with interdisciplinary relevance. Her work contributes to computational techniques that can support uncertainty analysis, optimization, and advanced numerical methods applicable to engineering, computational nanoscience, and data-driven scientific investigations.[4]

Award Suitability

Based on her publication record, interdisciplinary mathematical research, and continued contributions to computational methodologies, Benedetta Amicizia demonstrates qualities consistent with consideration for the Innovative Researcher Award presented through the Global Nano Awards. Her research supports theoretical innovation while providing computational tools with broader scientific relevance.[5]

Conclusion

Benedetta Amicizia represents an emerging researcher whose work bridges mathematical theory and computational applications. Through research in interval analysis, fuzzy mathematics, and computational modeling, she contributes valuable knowledge supporting modern scientific computation and interdisciplinary research. Her academic achievements provide a sound basis for recognition within international research award programs.

References

  1. Elsevier. (n.d.). Scopus author details: Benedetta Amicizia, Author ID 57212607514. Scopus.
    https://www.scopus.com/pages/authors/57212607514
  2. Amicizia, B. (2026). Polar Orders on Lattices of Real Intervals. Mathematics.
    https://doi.org/10.3390/math14142612
  3. Amicizia, B. (2026). Modeling the impact of climate variables on agriculture through the F-transform. Scientific Reports.
    https://doi.org/10.1038/s41598-026-45089-w
  4. Amicizia, B. (2025). Fuzzy-Valued Functions Calculus Through Midpoint Representation. Mathematics.
    https://doi.org/10.3390/math13162543
  5. Amicizia, B. (2019). Interval Analysis and Calculus for Interval-Valued Functions of a Single Variable. Axioms.
    https://doi.org/10.3390/axioms8040113

Aisulu Abuova | Computational Nanotechnology | Women Researcher Award

Published on by Global Nano Awards

Women Researcher Award

Aisulu Abuova
Affiliation Gumilyov Eurasian National University
Country Kazakhstan
Scopus ID 56589964800
Documents 19
Citations 110
h-index 8
Subject Area Computational Nanotechnology
Event Global Nano Awards
ORCID 0000-0001-6903-2084

Aisulu Abuova

Gumilyov Eurasian National University, Kazakhstan

Aisulu Abuova is a researcher specializing in computational nanotechnology, with research interests centered on atomistic simulations, density functional theory, electronic structure analysis, and computational materials science. Her publications investigate advanced functional materials including perovskites, half-Heusler alloys, and photocatalytic systems intended for sustainable energy applications. Through theoretical modelling and first-principles calculations, her work contributes to understanding structural stability, electronic properties, transport behaviour, and material performance for future nanotechnology applications.[1]

Abstract

Aisulu Abuova’s research focuses on computational approaches for discovering and optimizing advanced nanomaterials. Using density functional theory and atomistic simulations, she investigates structural, electronic, magnetic, and mechanical properties of functional materials relevant to renewable energy and nanoelectronics. Her work supports the development of photocatalysts and half-Heusler alloys by providing theoretical insight before experimental implementation, thereby reducing development time and improving material selection.[2]

Keywords

Computational Nanotechnology, Density Functional Theory, Atomistic Modelling, Photocatalysis, BaTiO3, Half-Heusler Alloys, Electronic Structure, Renewable Energy Materials, Ab Initio Calculations, Nanomaterials.

Introduction

Computational nanotechnology has become an essential discipline for predicting the behaviour of advanced materials prior to laboratory synthesis. Modern first-principles calculations enable researchers to evaluate structural stability, transport properties, magnetic characteristics, and electronic performance with high accuracy. Abuova’s investigations apply these computational methods to explore innovative nanomaterials suitable for photocatalysis, thermoelectric devices, and energy-efficient technologies.[3]

Research Profile

According to available scholarly metrics, the researcher has authored 19 indexed publications with more than 110 citations and an h-index of 8. Her research portfolio demonstrates consistent activity in computational materials science, particularly the theoretical investigation of semiconductor nanomaterials and multifunctional alloys. The studies combine crystallographic modelling with electronic and mechanical analyses to improve understanding of material performance under different operating conditions.[1]

Research Contributions

  • Applied first-principles computational techniques to investigate functional nanomaterials.
  • Studied BaTiO3 photocatalysts for solar water splitting applications.
  • Investigated double half-Heusler alloys for electronic and magnetic performance.
  • Evaluated transport, structural and mechanical properties of emerging materials.

Publications

  • A Brief Review of Atomistic Studies on BaTiO3 as a Photocatalyst for Solar Water Splitting (Ceramics, 2025).
  • Investigation of Double Half-Heusler Alloys V2Ni2Z′Z′′ Using Ab Initio Computational Methods (Journal of Applied Physics, 2025).
  • Ab Initio Investigation of New Double Half Heusler Alloys Ti2Pt2ZSb (Metals, 2025).

Research Impact

The research contributes to computational materials discovery by providing predictive knowledge that supports experimental development of nanostructured materials. Studies involving photocatalysis, electronic materials, and advanced alloys have relevance for sustainable energy conversion, nanoelectronics, and future functional devices. Citation metrics indicate growing academic recognition within computational materials research.[4]

Award Suitability

Based on publication record, citation performance, and ongoing contributions to computational nanotechnology, Aisulu Abuova demonstrates qualifications consistent with consideration for the Women Researcher Award at the Global Nano Awards. Her scholarly work illustrates sustained research activity, international publication, and meaningful theoretical contributions to advanced nanomaterials and renewable energy research.[5]

Conclusion

Aisulu Abuova has established a research profile focused on computational nanotechnology and first-principles materials modelling. Her studies on photocatalysts, half-Heusler alloys, and electronic materials contribute valuable theoretical understanding supporting future technological innovation. Continued research in computational design is expected to strengthen the development of sustainable nanomaterials for scientific and industrial applications.

References

  1. Elsevier. Scopus Author Details: Aisulu Abuova, Author ID 56589964800.
    https://www.scopus.com/authid/detail.uri?authorId=56589964800
  2. Abuova A. A Brief Review of Atomistic Studies on BaTiO3 as a Photocatalyst for Solar Water Splitting. Ceramics (2025).  https://doi.org/10.3390/ceramics8030100
  3. Journal of Applied Physics. Investigation of Double Half-Heusler Alloys.
    https://doi.org/10.1063/5.0252730
  4. Metals. Ab Initio Investigation of New Double Half Heusler Alloys Ti2Pt2ZSb.
    https://doi.org/10.3390/met15030329
  5. Global Nano Awards. Women Researcher Award.
    https://globalnanoawards.com/

Amy Cerato | Nanotechnology in Environment | Innovative Researcher Award

Published on by Global Nano Awards

Innovative Researcher Award

Amy Cerato
Affiliation University of Oklahoma
Country United States
Scopus ID 6508388588
Documents 77
Citations 2,478
h-index 26
Subject Area Nanotechnology in Environment
Event Global Nano Awards
ORCID 0000-0002-5377-7767

Amy Cerato

University of Oklahoma,United States

Amy Cerato is a researcher at the University of Oklahoma whose scholarly work focuses on geotechnical engineering, expansive soils, environmental geotechnology, and advanced analytical methods applicable to sustainable infrastructure. Her publications demonstrate continued contributions to understanding soil behavior, stabilization techniques, and field-based material characterization that support environmentally responsible engineering practices. These activities align with research themes commonly associated with nanotechnology in environmental applications through the development of advanced characterization methods and material performance evaluation.[1]

Abstract

Amy Cerato has established an academic profile through research on expansive soils, stabilization technologies, portable analytical instrumentation, and microstructural characterization. Her studies integrate laboratory investigations with practical engineering applications, supporting improved infrastructure resilience and sustainable environmental management. The combination of microscopy, portable X-ray fluorescence, and quantitative analytical methods contributes to reliable assessment of geomaterials under varying environmental conditions.[2]

Keywords

Expansive soils, Environmental geotechnology, Nanotechnology in Environment, Portable XRF, Soil stabilization, Geotechnical engineering, ESEM, Sustainable infrastructure.

Introduction

Modern geotechnical engineering increasingly relies on advanced material characterization to improve infrastructure performance while minimizing environmental impacts. Amy Cerato’s research reflects this trend by combining field measurements, laboratory experiments, and microscopic investigations to better understand soil behavior. Her work contributes to evidence-based engineering decisions involving expansive soils, chemical stabilization, and long-term durability.[3]

Research Profile

According to available scholarly metrics, Amy Cerato has authored 77 indexed publications with more than 2,478 citations and an h-index of 26. Her research portfolio emphasizes transportation geotechnics, soil characterization, environmental engineering, and innovative testing methodologies. These metrics indicate sustained scholarly productivity and measurable academic influence.[1]

Research Contributions

  • Applied Environmental Scanning Electron Microscopy to investigate microstructural evolution in expansive soils.
  • Advanced portable XRF methods for rapid field detection of calcium-based stabilizers.
  • Quantified pore structure evolution using fractal geometry techniques.
  • Developed analytical procedures for gypsum quantification in soils.

Publications

  • Microstructural Evolution of Expansive Soils Under Suction Hysteresis Using Environmental Scanning Electron Microscopy (2026).
  • Rapid Field Detection of Calcium-Based Stabilizers in Soils via PXRF (2024).
  • Comparison of Whole Rock XRF and Portable XRF for Quantifying Calcium-Based Stabilizers (2024).

Research Impact

The research portfolio demonstrates practical relevance for transportation infrastructure, environmental monitoring, and sustainable construction. The adoption of portable analytical technologies and quantitative microstructural analysis enhances field efficiency while improving scientific understanding of stabilized soils. These contributions support engineering practices that prioritize durability and environmental responsibility.[4]

Award Suitability

Based on scholarly productivity, citation performance, and sustained contributions to geotechnical and environmental engineering, Amy Cerato demonstrates characteristics consistent with recognition through the Innovative Researcher Award at the Global Nano Awards. Her multidisciplinary research combines scientific rigor with practical engineering applications and measurable academic impact.[5]

Conclusion

Amy Cerato’s publication record, research metrics, and continuing work in soil characterization and environmental geotechnology illustrate a consistent commitment to advancing engineering knowledge. Through innovative analytical methods and interdisciplinary collaboration, her research supports both academic progress and practical infrastructure solutions.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Amy Cerato, Author ID 6508388588.
    https://www.scopus.com/authid/detail.uri?authorId=6508388588
  2. Cerato, A. (2026). Microstructural Evolution of Expansive Soils Under Suction Hysteresis Using ESEM. Geotechnics.
    https://doi.org/10.3390/geotechnics6020056
  3. Cerato, A. (2024). Rapid Field Detection of Calcium-Based Stabilizers in Soils via PXRF.
    https://doi.org/10.1016/j.trgeo.2024.101446
  4. Cerato, A. (2024). Comparison of Whole Rock XRF and Portable XRF for Quantifying Calcium-Based Stabilizers.
    https://doi.org/10.1007/s40515-024-00409-3
  5. Cerato, A. (2024). Using Fractal Geometry Theory to Quantify Pore Structure Evolution.
    https://doi.org/10.1061/JMCEE7.MTENG-17391

Tasnim AlABBAS | Nanocomposites | Innovative Nanomaterials Research Award

Published on by Global Nano Awards

Innovative Nanomaterials Research Award

Tasnim AlABBAS
Jordan University of Science and Technology,Jordan

Tasnim AlABBAS
Affiliation Jordan University of Science and Technology
Country Jordan
Documents 1
Subject Area Nanocomposites
Event Global Nano Awards
Google Scholar ID 7MAAAAJ&hl

Tasnim AlABBAS is affiliated with the Jordan University of Science and Technology and contributes to emerging research in nanocomposites and computational biomedical engineering. Her published work focuses on applying numerical simulation to nanomaterial-based scaffold systems designed for spinal cord tissue regeneration. The research integrates engineering principles, biomaterials, and computational modeling to evaluate controlled therapeutic release within tissue-engineered constructs, providing a foundation for future experimental investigations.[1]

Abstract

The study entitled Modeling Release Scaffolds for Spinal Cord Tissue Regeneration After Injury Using COMSOL Simulation investigates the application of computational modeling to optimize nanomaterial-based scaffolds for regenerative medicine. Using COMSOL Multiphysics simulations, the work evaluates controlled release behavior within scaffold architectures intended to support spinal cord repair. The investigation demonstrates how numerical analysis can improve scaffold design before laboratory validation, reducing development time while enhancing predictive understanding of biomaterial performance.[2]

Keywords

Nanocomposites, Tissue Engineering, COMSOL Simulation, Drug Release, Spinal Cord Injury, Biomaterials, Regenerative Medicine, Computational Modeling.

Introduction

Advanced nanomaterials have become increasingly important in regenerative medicine because they enable controlled drug delivery, structural support, and improved cellular interactions. Computational simulation platforms provide an efficient approach for predicting scaffold behavior under different physiological conditions, allowing researchers to optimize material performance before conducting experimental studies. Such approaches contribute to more reliable and cost-effective biomedical research.[3]

Research Profile

Tasnim AlABBAS has contributed to interdisciplinary research combining nanotechnology, computational engineering, and biomedical applications. Her published work demonstrates an interest in mathematical modeling and simulation techniques that support the design of innovative biomaterial systems for tissue regeneration. This interdisciplinary approach reflects current trends in nanomedicine and engineering research.[2]

Research Contributions

  • Simulation of nanomaterial-based release scaffolds.
  • Application of COMSOL Multiphysics in regenerative medicine.
  • Evaluation of controlled therapeutic release profiles.
  • Support for computational optimization of scaffold design.

Publications

  • Modeling Release Scaffolds for Spinal Cord Tissue Regeneration After Injury Using COMSOL Simulation. Nanomaterials, 2026.

Research Impact

Although currently represented by a limited publication record, the research addresses an important scientific challenge involving neural tissue regeneration. The integration of computational simulation with nanocomposite scaffold development demonstrates methodological relevance and may assist future experimental investigations in biomaterials and regenerative medicine.[4]

Award Suitability

The Innovative Nanomaterials Research Award recognizes emerging investigations that advance nanotechnology through novel concepts and practical scientific methodologies. Tasnim AlABBAS’s computational study on nanocomposite release scaffolds aligns with these objectives by exploring innovative simulation-driven strategies for regenerative medicine. The work highlights interdisciplinary collaboration between engineering, biomaterials, and medical sciences.[5]

Conclusion

Tasnim AlABBAS has contributed to computational nanomaterials research through simulation-based analysis of tissue engineering scaffolds. Her work demonstrates the growing value of numerical modeling for optimizing biomaterial performance and supports continued research into nanotechnology-enabled regenerative therapies. The publication provides a useful foundation for future multidisciplinary investigations.

External Links

References

  1. Jordan University of Science and Technology. Research affiliation information.
  2. Al Dabbas, T. H., Bozeya, A., & Al Dabbas, A. (2026). Modeling Release Scaffolds for Spinal Cord Tissue Regeneration After Injury Using COMSOL Simulation. Nanomaterials.
    https://www.mdpi.com/2079-4991/16/10/638
  3. MDPI. DOI Reference.
    https://doi.org/10.3390/nano16100638
  4. Nanomaterials Journal. Computational biomaterials and regenerative medicine overview.
  5. Global Nano Awards.
    https://globalnanoawards.com/