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

Haisheng Li | Computational Nanoscience | NanoDiscovery Achievement Award

Published on by Global Nano Awards

NanoDiscovery Achievement Award

Haisheng Li
Affiliation Henan University of Science and Technology
Country China
Scopus ID 57218390131
Documents 67
Citations 1,396
h-index 19
Subject Area Computational Nanoscience
Event Global Nano Awards

Haisheng Li

Henan University of Science and Technology

Haisheng Li is a researcher in computational nanoscience whose work focuses on theoretical chemistry, atomistic simulations, nanocluster stability, and computational materials science. His investigations combine density functional theory and ab initio molecular dynamics to explain structural evolution, thermal stability, catalytic behavior, and electronic characteristics of nanoscale materials. His scholarly record demonstrates consistent contributions to understanding metal clusters and computational modeling techniques that support emerging nanotechnology applications.[1]

Abstract

This article summarizes the academic profile of Haisheng Li in relation to the NanoDiscovery Achievement Award. His research emphasizes computational approaches for understanding nanoclusters, phase stability, chirality, catalytic mechanisms, and atomistic behavior under varying thermodynamic conditions. Through advanced simulation methods, his publications contribute to predictive materials design and provide theoretical insights that complement experimental nanoscience.[2]

Keywords

  • Computational Nanoscience
  • Ab Initio Molecular Dynamics
  • Nanoclusters
  • Density Functional Theory
  • Catalysis

Introduction

Computational nanoscience plays an essential role in explaining the physical and chemical properties of nanoscale systems before experimental realization. Haisheng Li’s work applies first-principles simulations to investigate atomic structures, energy landscapes, and reaction pathways. These studies contribute to improved understanding of nanoscale materials for energy conversion, catalysis, and advanced functional materials.[3]

Research Profile

According to available bibliometric information, Haisheng Li has authored 67 indexed publications with approximately 1,396 citations and an h-index of 19. His research portfolio primarily covers computational chemistry, nanoscale materials, cluster physics, and molecular dynamics simulations. These metrics reflect sustained scholarly activity and international visibility within computational materials research.[1]

Research Contributions

  • Studied chiral-achiral-chiral interconversion mechanisms of Cu13 nanoclusters using ab initio molecular dynamics.
  • Investigated thermal stability of Cun (n=7–22) clusters through first-principles simulations.
  • Contributed to computational understanding of CO₂ reduction mechanisms enhanced by water vapor.
  • Advanced theoretical methodologies supporting nanocluster design and catalytic material optimization.[4]

Publications

  • Chiral-achiral-chiral interconversion of Cu13 isomers: Ab initio molecular dynamics simulations. Chemical Physics (2026).
  • Thermal Stability of Cun (n=7-22) Clusters Studied by Ab Initio Molecular Dynamics Simulations. Journal of Cluster Science (2026).
  • Promoting CO₂ radical anions dissociation for efficient mechanical energy-driven CO₂ reduction via adding water vapor. Fuel (2025).

Research Impact

The research contributes to computational prediction of nanoscale phenomena, supporting development of efficient catalysts, stable nanoclusters, and theoretical models relevant to clean energy technologies. Simulation-driven investigations improve scientific understanding while reducing dependence on costly experimental screening, making the work valuable across computational chemistry and nanotechnology disciplines.[5]

Award Suitability

The NanoDiscovery Achievement Award recognizes scholarly contributions that expand scientific knowledge within nanotechnology. Haisheng Li’s publication record, citation performance, and computational investigations into nanoclusters, molecular dynamics, and catalytic mechanisms demonstrate sustained research activity aligned with the objectives of recognizing excellence in computational nanoscience and theoretical materials research.[2]

Conclusion

Haisheng Li has established an active research profile through computational investigations of nanoscale materials, atomistic simulations, and theoretical chemistry. His scholarly contributions provide insights into nanocluster stability, chirality, catalysis, and molecular dynamics, supporting continued progress in computational nanoscience. These achievements form a strong academic basis for recognition within international nanotechnology award programs.

External Links

References

  1. Elsevier. Scopus Author Details: Haisheng Li, Author ID 57218390131.
    https://www.scopus.com/authid/detail.uri?authorId=57218390131
  2. Yang X., Chang W., Zhang H., Zuo Z., Li H. (2026). Chiral-achiral-chiral interconversion of Cu13 isomers. Chemical Physics.
    https://doi.org/
  3. Yang X., Xu W., Chen Z., Zuo Z., Li H. (2026). Thermal Stability of Cun Clusters. Journal of Cluster Science.
    https://doi.org/
  4. Li S., Zhang B., Liu N., Zhu Y., Cheng G. (2025). Mechanical energy-driven CO₂ reduction. Fuel.
  5. Global Nano Awards. NanoDiscovery Achievement Award.
    https://globalnanoawards.com/

Yingxia Qi | Computational Nanotechnology | Best Researcher Award

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Prof. Yingxia Qi | Computational Nanotechnology | Best Researcher Award

Professor | University of Shanghai for Science and Technology | China

Prof. Yingxia Qi is an accomplished researcher in energy and thermal sciences with strong contributions to refrigeration technology, thermophysical properties of refrigerants, molecular dynamics simulations, and low-temperature energy systems. Her research spans vapor–liquid equilibrium, PVTx properties, organic Rankine cycles, pulse tube cryocoolers, gas hydrates, and nanoscale heat and mass transfer, with impactful findings published in leading international journals. According to Scopus, she has 491 citations, 49 documents, and an h-index of 9, reflecting sustained scholarly influence. Her work integrates experimental investigations, modeling, and simulation, with recognized contributions to journal publications, conference proceedings, peer review activities, and advanced R&D in energy systems and thermal engineering.

Citation Metrics (Scopus)

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491

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h-index
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Featured Publications

Yuxin Yang | Computational Nanotechnology | Research Excellence Award

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Dr. Yuxin Yang | Computational Nanotechnology | Research Excellence Award

Postdoctor Researcher | Eastern Institute of Technology | China

Dr. Yuxin Yang is a computational materials scientist whose research advances the fundamental understanding of ultrafast carrier dynamics, defect physics, and semiconductor design for high-performance optoelectronic systems. His work combines first-principles theory with non-adiabatic molecular dynamics to uncover how point defects, vacancies, and excited-state interactions govern recombination pathways and nonradiative losses in wide-bandgap semiconductors. His influential publications in Physical Review Letters, The Journal of Physical Chemistry Letters, Materials Today Physics, and Computational Materials Science highlight breakthroughs in carrier injection asymmetry, defect-induced trapping, and hot-carrier cooling mechanisms that directly impact the efficiency of III-nitride LEDs and related devices. Dr. Yuxin Yang has contributed significantly to predictive semiconductor modelling, elucidating interlayer charge-transfer dynamics in hBN/graphene heterostructures and guiding the design principles of β-Ga₂O₃, AlN, and B-containing nitrides. His work on lanthanide-regulated Mn⁴⁺/Mn²⁺ self-reduction and luminescent sensing materials further demonstrates versatility across optical and functional materials research. With 57 google scholar citations, an h-index of 4, and an i10-index of 2, his growing scholarly influence is supported by impactful theoretical findings, a patent on wide-bandgap nitride quantum-well structures, and active contributions to R&D-driven materials engineering. He regularly engages in peer-review service, conference presentations, and scientific community initiatives, reinforcing his role in advancing next-generation semiconductor and photonic technologies.

Citation Metrics (Google Scholar)

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Documents
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Featured Publications

Dr. Waleed Hamanah | Computational Nanotechnology Awards | Best Researcher Award

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Dr. Waleed Hamanah | Computational Nanotechnology Awards  | Best Researcher Award

Dr. Waleed Hamanah , King Fahd University of Petroleum and Minerals , Saudi Arabia

Dr. Waleed Mohammed Abdo Hamanah is a Yemeni researcher and academic currently serving as a Research Engineer III and Assistant Professor at the Applied Research Center for Metrology, Standards, and Testing at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. He holds a Ph.D. in Electrical Engineering with a focus on advanced heliostat drive systems for concentrated solar power from KFUPM, and an M.Sc. in Power and Control from the same institution. His research interests encompass renewable energy systems, power electronics, and energy performance modeling. Dr. Hamanah has published over 40 papers in peer-reviewed journals and conferences, receiving notable recognition for his work, including a Best Paper Award in 2023. He has extensive teaching experience in electrical engineering and has contributed significantly to both theoretical and practical aspects of his field.

Professional Profile:

Scopus

Orcid

Google Scholar

Suitability for Best Researcher Award: Waleed Mohammed Abdo Hamanah

Dr. Waleed Mohammed Abdo Hamanah is a distinguished candidate for the Best Researcher Award due to his exceptional contributions and achievements in the field of electrical engineering and renewable energy. His qualifications and experience highlight a strong blend of academic excellence, innovative research, and impactful applications in power systems and renewable energy technologies.

🎓Education:

Dr. Waleed Mohammed Abdo Hamanah earned his Ph.D. in Electrical Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in September 2017. His doctoral thesis focused on the “Advanced Heliostat Electrical Drive System for Concentrated Solar Power Tower,” where he developed advanced solar drive systems, fabricated printed circuit boards (PCBs), and implemented prototypes using Silicon Carbide (SiC) semiconductors. He also holds a Master’s degree in Electrical Engineering (Power and Control) from KFUPM, awarded in May 2016. His master’s thesis, titled “Modelling, Simulation, and Energy Performance of VFD and ON/OFF HVAC Systems,” involved developing simulation models, coordinating with industry, and validating results for energy efficiency and economic analysis. Dr. Hamanah completed his Bachelor’s degree in Electrical Engineering (Power and Machines) at Sana’a University, Yemen, in June 2008, graduating with an overall GPA of 82.69% and ranking second in his class.

🏢Work Experience:

Dr. Waleed Mohammed Abdo Hamanah currently serves as a Research Engineer III and Assistant Professor at the Applied Research Center for Metrology, Standards, and Testing at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, since September 2023. In this role, he leads research initiatives in metrology, standards, and testing, and contributes to applied research projects. He will also be teaching the course “EE 482 – Electric Machines” in the Electrical Engineering Department at KFUPM from January to June 2024. Prior to this, Dr. Hamanah was a Postdoctoral Researcher at the Interdisciplinary Research Center for Renewable Energy and Power Systems at KFUPM from April 2022 to August 2023, where he worked on various renewable energy and power systems research projects. His previous roles include serving as a Teaching Assistant in the Electrical Engineering Department at KFUPM from January 2017 to January 2021, where he taught courses such as “EE 206 – Introduction to Electrical Systems and Computations” and “EE 462 – Electrical Machines.” He also worked as a Lab Assistant at the High Voltage Laboratory of the Research Institute at KFUPM from September 2016 to May 2017, and as a Lab Instructor for “EE 462 – Electrical Machines” at KFUPM from September 2014 to December 2014. Earlier in his career, Dr. Hamanah taught various courses, including Electrical Circuits I & II and Engineering Drawing, at Taiz University in Yemen from September 2008 to June 2012.

🏆Awards and Recognitions:

Dr. Waleed Mohammed Abdo Hamanah received the Best Paper Award in 2023 from King Fahd University of Petroleum and Minerals (KFUPM) in recognition of his outstanding research contributions in his field. This accolade highlights his significant impact and excellence in academic and practical research.

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Ms. Deepthi Padmanabhan | Computational Nanotechnology Awards | Best Researcher Award

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Ms. Deepthi Padmanabhan | Computational Nanotechnology Awards | Best Researcher Award

Ms. Deepthi Padmanabhan  , SRMIST , India

Deepthi Padmanabhan is a dedicated researcher and educator with a strong background in biochemistry and biotechnology. Currently pursuing her Ph.D. at SRM Institute of Science and Technology, her research focuses on the multi-omics approach to identify medicinal compounds from plants. She holds a Master’s degree in Biochemistry, graduating with distinction and a gold medal from Vels Institute of Science and Technology, and a Bachelor’s degree in Biotechnology, Biochemistry, and Genetics from Jyoti Nivas College. Deepthi has three years of teaching experience in various biotechnology laboratory courses at SRM IST. Her research contributions include several high-impact publications and a book chapter on nanomaterials. Additionally, she has actively participated in numerous workshops and conferences, presenting her findings on plant biotechnology. Deepthi’s expertise spans a range of analytical techniques, structural bioinformatics, molecular docking, and simulation, as well as various molecular biology techniques. She is proficient in bioinformatics tools and data analysis, making her a versatile and skilled researcher in her field.

Professional Profile:

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 🎓Education:

Deepthi Padmanabhan is currently pursuing her Ph.D. at SRM Institute of Science and Technology, focusing on a multi-omics approach to identify medicinal compounds from Sida cordifolia and Justicia adhatoda (2020-2024). She holds a Master of Science degree in Biochemistry from Vels Institute of Science and Technology, where she graduated with distinction, earning a gold medal and an impressive 84.4% (First Class with Distinction) during the period of 2018 to 2020. Prior to this, she completed her Bachelor of Science in Biotechnology, Biochemistry, and Genetics at Jyoti Nivas College Autonomous, graduating with a First Class, achieving 60%, from 2015 to 2018.

 🏢Professional Experience:

Deepthi Padmanabhan has extensive experience as a teaching lab instructor in various biotechnology laboratories at the Department of Genetic Engineering, SRM IST, Kattankulathur, India. She served as a Teaching Lab Instructor for the Cell and Microbiology Laboratory from July 2023 to December 2023, the Plant Biotechnology Laboratory from January 2023 to May 2023, the Cell Biology Laboratory from July 2022 to December 2022, and again for the Plant Biotechnology Laboratory from January 2022 to May 2022

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