Christian Schachtner | Educational Data Analysis | Innovative Research Award

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Innovative Research Award

Christian Schachtner — Hochschule RheinMain, Germany

Christian Schachtner
Affiliation Hochschule RheinMain
Country Germany
Scopus ID 58199741900
Documents 28
Citations 14
h-index 3
Subject Area Educational Data Analysis
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0001-5332-6280

Christian Schachtner is a professor at Hochschule RheinMain, Germany, whose academic work connects digital transformation, public administration, governance, sustainability, and applied information systems. His documented research includes smart cities, digital administration, organizational transformation, and data-informed public-sector innovation, providing a multidisciplinary basis for examining contemporary administrative and educational data challenges. [2]

Abstract

Christian Schachtner is associated with Hochschule RheinMain in Germany and works at the intersection of information systems, public administration, digital transformation, sustainability, governance, and organizational development. His documented scholarly activities include research articles, books, edited volumes, and interdisciplinary projects. The supplied bibliometric profile records 28 documents, 14 citations, and an h-index of 3.Recent publications further demonstrate engagement with smart governance, sustainability monitoring, safety culture, and digital institutional transformation. [3]

Keywords

  • Educational Data Analysis
  • Digital Transformation
  • Public Administration
  • Information Systems
  • Smart Governance
  • Sustainability
  • Knowledge Management
  • Organizational Innovation

Introduction

Christian Schachtner is a professor at Hochschule RheinMain, Germany, whose academic work connects digital transformation, public administration, governance, sustainability, and applied information systems. His documented research includes smart cities, digital administration, organizational transformation, and data-informed public-sector innovation, providing a multidisciplinary basis for examining contemporary administrative and educational data challenges. [2]

Research Profile

The supplied bibliographic profile lists 28 documents, 14 citations, and an h-index of 3 under Scopus ID 58199741900. Institutional sources identify Schachtner as Professor of Information Systems specializing in digitalization in administration and as Vice-President for Academic Affairs and Sustainability at Hochschule RheinMain, reflecting academic and institutional leadership responsibilities. [1]

Research Contributions

Schachtner’s research contributions span digital government, smart-city development, organizational transformation, public-sector innovation, and sustainability. His publications examine functional roles in digital transformation, resilient education, predictive maintenance, safety culture, and university transfer architectures. These contributions demonstrate an applied orientation toward connecting organizational knowledge, technology, governance, and evidence-based decision-making across contexts. [2]

Publications

Selected publications include work on the Chief Digital Officer role in public municipalities, upskilling and resilient education, digital administration, social impact through safety culture, predictive-maintenance sustainability monitoring, and university transfer architectures for smart governance. His output also includes edited and authored books addressing public-sector digitalization and European smart-city development. [3]

Research Impact

The indicators provide a measurable but limited view of research impact: 28 documents, 14 citations, and an h-index of 3. Scholarly visibility is reflected through recent journal articles, books, and interdisciplinary collaborations. These outputs extend discussion of digital governance, sustainability, organizational development, and data-informed institutional transformation beyond individual disciplinary boundaries. [1]

Award Suitability

The profile is suitable for an Innovative Research Award because it combines documented scholarly output with interdisciplinary research addressing digital transformation, governance, sustainability, and applied data-oriented innovation. Award suitability should remain evidence-based, considering verified publications, citation indicators, institutional roles, research relevance, and alignment between documented contributions and stated award criteria.[2]

Conclusion

Christian Schachtner presents a multidisciplinary academic profile linking information systems, public administration, digital transformation, sustainability, and organizational research. The supplied bibliometric indicators and documented publications support recognition within an evidence-based academic framework. Final award decisions should incorporate independently verified metrics, publication quality, originality, societal relevance, and applicable evaluation criteria. [3]

References

  1. University Transfer Architectures for Smart Governance: A Regional Comparison of Scientific Community Building.
    https://www.mdpi.com/2076-3387/16/7/323
  2. Smart government in local adoption -Authorities in strategic change through AI(7)
    https://www.researchgate.net/publication/353765047_Smart_government_in_local_adoption_-Authorities_in_strategic_change_through_AI
  3. A Taxonomy of Predictive Maintenance as a Basis for Supra-Regional Sustainability Monitoring—Literature Review
    https://onlinelibrary.wiley.com/doi/full/10.1002/bse.70599

 

Michele D’Alto | Diagnostic Analytics | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Michele D’Alto
Name Michele D’Alto
Affiliation Ospedali dei Colli
Country Italy
Scopus ID 55927669100
Documents 230
Citations 7,617
h-index 47
Subject Area Diagnostic Analytics
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0001-5729-1038

Michele D’Alto – Ospedali dei Colli

Michele D’Alto is a cardiology specialist and researcher affiliated with Ospedali dei Colli in Naples, Italy. His documented research activity is strongly associated with pulmonary hypertension, cardiovascular medicine, right-ventricular physiology, diagnostic assessment, and related clinical management. His indexed scholarly record indicates sustained publication activity and substantial citation visibility within cardiovascular and pulmonary research. [1]

Abstract

Michele D’Alto is an Italian cardiology researcher whose scholarly work encompasses pulmonary hypertension, cardiovascular diagnostics, right-ventricular function, and clinical management. Publicly indexed records identify 230 documents, 7,617 citations, and an h-index of 47 in Scopus, while his ORCID record provides an independently identifiable research profile. [2]

Keywords

Michele D’Alto; cardiovascular medicine; pulmonary hypertension; diagnostic analytics; cardiology; right ventricular function; cardiovascular diagnostics; clinical research; research impact; medical publications.

Introduction

Michele D’Alto’s academic profile reflects sustained clinical and research activity in cardiovascular medicine, particularly pulmonary hypertension and diagnostic assessment. His institutional curriculum documents long-term cardiology practice, specialist training, and responsibility for pulmonary hypertension management. Bibliographic records further demonstrate international collaborative research across cardiovascular and pulmonary disciplines, supporting continued scholarly engagement. [3]

Research Profile

D’Alto’s research profile centers on cardiology and pulmonary hypertension, with documented work involving hemodynamics, echocardiographic assessment, right-ventricular function, congenital heart disease, and therapeutic strategies. His institutional curriculum records specialist qualifications and a dedicated leadership role in cardiocirculatory management of pulmonary hypertension, while indexed publications demonstrate continued multidisciplinary collaboration. [2]

Research Contributions

Documented contributions include research on pulmonary hypertension diagnosis, right-ventricular remodeling, hemodynamic responses, congenital cardiac conditions, and cardiovascular interventions. His publications also address diagnostic and therapeutic questions requiring integration of clinical measurements with cardiovascular pathophysiology. These contributions illustrate a research approach connecting diagnostic evaluation, clinical interpretation, and collaborative cardiovascular investigation.[3]

Publications

The indexed record contains 230 documents and includes peer-reviewed articles addressing pulmonary hypertension and cardiovascular medicine. Representative publications include work on echocardiography and pulmonary hypertension, fluid challenge testing in atrial septal defects, right-ventricular remodeling, and contemporary pulmonary arterial hypertension treatment. Selected publications provide DOI identifiers for direct scholarly verification. [1]

Research Impact

The available Scopus profile reports 7,617 citations and an h-index of 47, alongside 230 indexed documents. These bibliometric indicators suggest substantial visibility and sustained scholarly use of the research record. Interpretation should nevertheless consider disciplinary citation practices, publication age, collaboration patterns, and database coverage when assessing overall research influence. [2]

Award Suitability

Based on the supplied bibliometric indicators, documented institutional responsibilities, and sustained peer-reviewed publication activity, D’Alto presents characteristics relevant to consideration for a Best Researcher Award. The evidence demonstrates an established research record, international scholarly collaboration, and measurable citation impact, while final award decisions should remain subject to the organizer’s formal evaluation criteria.[3]

Conclusion

Michele D’Alto’s documented academic record combines specialist cardiology practice, focused pulmonary hypertension research, multidisciplinary publication, and measurable bibliometric visibility. His profile includes 230 Scopus-indexed documents, 7,617 citations, and an h-index of 47. Collectively, these indicators provide a substantive basis for academic recognition, subject to independent verification and award-specific assessment. [2]

References

  1. Pulmonary arterial hypertension: right ventricular phenotyping to improve risk assessment at follow-up.
    https://www.researchgate.net/publication/400545401_Pulmonary_arterial_hypertension_right_ventricular_phenotyping_to_improve_risk_assessment_at_follow-up
  2. Echocardiography in Pulmonary Arterial Hypertension: from Diagnosis to Prognosis
    https://www.sciencedirect.com/science/article/abs/pii/S0894731712008000
  3. Initial Combination of Macitentan With Riociguat in the Treatment of Pulmonary Arterial Hypertension.
    https://www.researchgate.net/publication/404084572_Initial_combination_of_macitentan_with_riociguat_in_the_treatment_of_pulmonary_arterial_hypertension

Alexander Pukhov | Algorithm Development | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Alexander Pukhov
Heinrich Heine University of Dusseldorf, Germany

Alexander Pukhov
Affiliation Heinrich Heine University of Dusseldorf
Country Germany
Scopus ID 7006039283
Documents 400
Citations 21,488
h-index 72
Subject Area Algorithm Development
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0001-5043-960X

Alexander Pukhov is a researcher affiliated with Heinrich Heine University of Dusseldorf whose scholarly record includes extensive computational and theoretical research. Public researcher records associate his work with computational physics, plasma modelling, particle acceleration, laser-plasma interactions, and algorithmic approaches to scientific simulation. His research profile is documented through persistent identifiers and bibliographic databases. [1]

Abstract

This academic recognition profile presents Alexander Pukhov in the context of the Best Researcher Award. The assessment considers the supplied bibliometric indicators, institutional affiliation, persistent researcher identification, publication activity, and documented contributions to computational and theoretical research. Particular attention is given to algorithmic and simulation-oriented approaches relevant to advanced scientific investigation.[2]

Keywords

Alexander Pukhov; Best Researcher Award; Algorithm Development; Computational Physics; Scientific Computing; Plasma Physics; Particle Acceleration; Laser-Plasma Interaction; Research Impact; Bibliometrics; Academic Publications; Heinrich Heine University of Dusseldorf.

Introduction

Alexander Pukhov’s research profile reflects sustained engagement with computational and theoretical approaches to advanced physical systems. His scholarly record connects numerical modelling, scientific algorithms, plasma physics, and particle acceleration. Bibliographic records identify Heinrich Heine University of Dusseldorf as his affiliation and associate his publications with computationally intensive scientific investigations. [1]

Research Profile

The research profile of Alexander Pukhov encompasses computational methods, plasma modelling, laser-plasma interactions, particle acceleration, and related theoretical investigations. His ORCID record links his identity with a substantial body of scholarly works and confirms the Scopus Author ID supplied for this profile. These records provide a persistent basis for bibliographic evaluation. [3]

Research Contributions

Pukhov’s contributions include development and application of computational techniques for modelling complex physical phenomena. His documented work includes particle-in-cell simulation methods, hybrid computational models, and algorithms supporting plasma and particle-acceleration studies. Such contributions demonstrate the role of algorithm development in enabling numerical investigation of systems that are difficult to examine solely through analytical approaches. [2]

Publications

The publication record associated with Alexander Pukhov includes articles addressing computational physics, particle-in-cell modelling, laser-driven particle acceleration, and high-energy plasma phenomena. Representative publications include work on dispersionless Maxwell solvers and plasma-based particle acceleration, as well as recent studies of laser-driven radiation sources. These works illustrate continuity across computational and applied research.[3]

Research Impact

The supplied profile reports 400 documents, 21,488 citations, and an h-index of 72, indicating substantial bibliometric visibility. Independent bibliographic records also associate Pukhov with a large publication and citation portfolio. Such indicators provide quantitative evidence of scholarly reach, although citation measures should be interpreted alongside research quality, authorship, collaboration, and field-specific practices. [1]

Award Suitability

Based on the supplied bibliometric information and documented research activity, Alexander Pukhov presents a profile consistent with consideration for a Best Researcher Award. The combination of extensive publication output, citation visibility, a substantial h-index, and contributions to computational scientific research provides measurable evidence for scholarly recognition, subject to the award’s formal evaluation criteria.[2]

Conclusion

Alexander Pukhov’s profile demonstrates an established research presence involving computational methods, scientific algorithms, plasma physics, and particle acceleration. The reported bibliometric indicators, persistent researcher identification, and documented publications collectively support recognition of sustained scholarly activity. Final award decisions should nevertheless incorporate independent verification and the complete criteria established by the awarding organization. [3]

References

  1. Magnetized plasma rotator for relativistic mid-infrared pulses via frequency-variable Faraday rotation.
    https://www.nature.com/articles/s41377-025-02047-x
  2. Universal power-law spectral feature in laser-driven proton acceleration.
    https://www.researchgate.net/publication/410970527_Universal_power-law_spectral_feature_in_laser-driven_proton_acceleration
  3. Preservation of ³ He ion polarization after laser-driven acceleration in plasma
    https://www.researchgate.net/publication/403915347_Preservation_of_He_ion_polarization_after_laser-driven_acceleration_in_plasma

 

Xiaoqi Yang | Bioanalytical Chemistry | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Xiaoqi Yang — Kyushu University

Xiaoqi Yang
Affiliation Kyushu University
Country China
Documents 7
Citations 92
Subject Area Bioanalytical Chemistry
Event International Research Data Analysis Excellence & Awards
ORCID 0009-0007-2127-8721

Xiaoqi Yang is associated with research conducted at Kyushu University, with available publication records indicating work spanning analytical detection and biomedical research. The documented research includes highly sensitive detection of angiotensin II and studies involving selenium nanoparticles and biological responses. These outputs provide an academic basis for considering research recognition. [1]

Abstract

This academic recognition profile presents Xiaoqi Yang in relation to the Best Researcher Award. The supplied profile records seven documents and 92 citations, with research associated with bioanalytical chemistry and Kyushu University. Available scholarly records identify analytical and biomedical investigations, including angiotensin II detection and selenium nanoparticle research. [2]

Keywords

Xiaoqi Yang; Kyushu University; Bioanalytical Chemistry; analytical detection; angiotensin II; selenium nanoparticles; biomedical research; scientific publications; research impact; Best Researcher Award; International Research Data Analysis Excellence & Awards.

Introduction

Xiaoqi Yang is presented as a researcher affiliated with Kyushu University whose documented work includes analytical chemistry and biomedical investigations. Available institutional records identify research involving sensitive molecular detection, while published studies demonstrate applications involving biological systems and selenium-based materials. These areas provide context for evaluating research activity and scholarly recognition. [3]

Research Profile

The supplied profile records seven documents and 92 citations for Xiaoqi Yang, with Bioanalytical Chemistry identified as the subject area. Research records connected with Kyushu University include analytical detection of angiotensin II and biomedical studies addressing selenium nanoparticles and cellular responses. These outputs indicate engagement with experimentally oriented interdisciplinary scientific research. [1]

Research Contributions

Yang’s documented contributions include research addressing analytical measurement and biological mechanisms. One reported study investigates highly sensitive angiotensin II detection using LC-TIMS-qTOF/MS with derivatization, illustrating analytical-method development. Other publications examine selenium nanoparticles and biological oxidative-stress pathways, demonstrating applications of biochemical investigation to health-related experimental questions and molecular processes.[3]

Publications

The available publication record includes studies associated with Xiaoqi Yang and Kyushu University. Examples include research on highly sensitive angiotensin II detection and investigations of selenium nanoparticles in biological systems. The supplied profile reports seven documents overall. Publication evidence therefore provides a measurable basis for assessing research activity, although complete bibliographic coverage should be verified through authoritative databases. [2]

Research Impact

The supplied profile reports 92 citations across seven documents, indicating measurable scholarly attention to the research record. Citation activity should be interpreted alongside publication quality, authorship, venue, methodological contribution, and field norms. The documented studies demonstrate relevance to analytical measurement and biomedical science, providing complementary evidence of research visibility and scientific application.[3]

Award Suitability

Based on the supplied metrics and available publication evidence, Xiaoqi Yang demonstrates documented research activity suitable for consideration under a Best Researcher Award framework. Seven documents and 92 citations provide quantitative indicators, while analytical and biomedical publications provide qualitative evidence. Final award determination should additionally consider verified databases, originality, contribution, and comparative evaluation. [1]

Conclusion

Xiaoqi Yang’s supplied research profile presents a developing scholarly record associated with Kyushu University and Bioanalytical Chemistry. The reported seven documents and 92 citations, together with documented analytical and biomedical studies, provide evidence of research engagement and impact. These indicators support consideration for recognition, subject to independent verification and comprehensive comparative assessment. [2]

References

  1. High-Sensitivity Quantification of Angiotensin Oligopeptides Using Methoxyacetylation Coupled with LC-TIMS-qTOF/MS.
    https://www.researchgate.net/publication/413598839_High-Sensitivity_Quantification_of_Angiotensin_Oligopeptides_Using_Methoxyacetylation_Coupled_with_LC-TIMS-qTOFMS
  2. Preparation, characterization, and antioxidant and antiapoptotic activities of biosynthesized nano‑selenium by yak-derived Bacillus cereus and chitosan-encapsulated chemically synthesized nano‑selenium
    https://www.researchgate.net/publication/370439519_Preparation_characterization_and_antioxidant_and_antiapoptotic_activities_of_biosynthesized_nano-selenium_by_yak-derived_Bacillus_cereus_and_chitosan-encapsulated_chemically_synthesized_nano-selenium
  3. Selenium nanoparticles reduce oxidative stress-induced cardiomyocyte apoptosis in ascites syndrome in broiler chickens via the ATF6-DR5 signaling pathway
    https://link.springer.com/article/10.1186/s44149-023-00086-8

 

Venkatraman Ethirajan | Smart Grid | Innovative Research Award

Published on by Research Data Analysis

Innovative Research Award

Venkatraman Ethirajan  – University College of Engineering Villupuram, India

Venkatraman Ethirajan
Affiliation University College of Engineering Villupuram
Country India
Scopus ID 59477247900
Documents 2
Citations 2
h-index 1
Subject Area Smart Grid
Event International Research Data Analysis Excellence & Awards
ORCID 0009-0001-8538-3500

Venkatraman Ethirajan is a researcher affiliated with the University College of Engineering Villupuram, India, with research interests in the area of Smart Grid. Available bibliographic information records two documents, two citations, and an h-index of one, providing a concise basis for academic recognition and profile assessment. [1]

Abstract

This article presents an academic profile of Venkatraman Ethirajan, affiliated with the University College of Engineering Villupuram, India. The profile focuses on Smart Grid research and summarizes available bibliographic indicators, including documents, citations, and h-index. The information provides a concise foundation for evaluating research activity and suitability for academic recognition. [1]

Keywords

Smart Grid; Electrical Engineering; Research Data Analysis; Academic Research; Energy Systems; Intelligent Power Systems; Research Impact; Scholarly Publications; Innovative Research Award; Academic Recognition. [2]

Introduction

Smart Grid research integrates digital technologies, communication systems, monitoring, automation, and electrical power infrastructure to support more responsive energy networks. Venkatraman Ethirajan’s listed subject area is Smart Grid, placing the profile within an interdisciplinary technological domain concerned with modernizing electricity systems, improving operational intelligence, and supporting data-informed energy management. [3]

Research Profile

Venkatraman Ethirajan is affiliated with University College of Engineering Villupuram in India. The available Scopus information identifies author ID 59477247900 and records two documents, two citations, and an h-index of one. The researcher also maintains an ORCID identifier, providing an additional persistent mechanism for scholarly identity and research record management. [2]

Research Contributions

The available profile indicates research activity associated with Smart Grid systems, a field that combines electrical engineering with sensing, communication, computation, and control. With two indexed documents and two citations, the documented contribution remains relatively focused. These indicators establish measurable scholarly activity while avoiding conclusions beyond the available bibliographic evidence. [1]

Publications

Scopus records two documents under the supplied author identifier. These indexed outputs constitute the currently documented publication activity used for this profile. Specific publication titles, journals, publication years, co-authors, and DOI identifiers were not supplied in the input data; therefore, no unsupported publication-level claims or DOI assignments are made here. [2]

Research Impact

The available bibliometric record reports two citations and an h-index of one. These measures indicate that the indexed publications have received a limited but measurable level of scholarly citation. Such indicators should be interpreted in relation to publication age, disciplinary citation patterns, collaboration, and career stage when a broader assessment of research influence is undertaken. [1]

Award Suitability

The Innovative Research Award profile recognizes documented research activity in Smart Grid-related work. The available record demonstrates an identifiable scholarly profile, institutional affiliation, indexed documents, citations, and a persistent ORCID identity. Final award suitability should be determined according to the event’s published eligibility criteria, submitted evidence, and independent review procedures rather than bibliometric indicators alone.[3]

Conclusion

Venkatraman Ethirajan’s available academic record identifies Smart Grid as a principal subject area and documents two Scopus-indexed publications, two citations, and an h-index of one. The profile provides evidence of active scholarly participation while remaining limited in scope. Further publication details and research outputs would support a more comprehensive evaluation. [1]

References

  1. Review Challenges and Barriers Regarding Electric Vehicles in Modern India with Grid Optimization.
    https://www.researchgate.net/publication/389697656_Review_Challenges_and_Barriers_Regarding_Electric_Vehicles_in_Modern_India_with_Grid_Optimization
  2. An in-depth survey of latest progress in smart grids: paving the way for a sustainable future through renewable energy resources.
    https://link.springer.com/article/10.1186/s43067-025-00195-z
  3. IMPLEMENTATION & COMPARISON OF DIFFERENT SEGMENTATION ALGORITHMS FOR MEDICAL IMAGING.
    https://www.researchgate.net/publication/376522897_IMPLEMENTATION_COMPARISON_OF_DIFFERENT_SEGMENTATION_ALGORITHMS_FOR_MEDICAL_IMAGING

Bushra Abro | Artificial Intelligence | Research Excellence Award

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Ms. Bushra Abro | Artificial Intelligence | Research Excellence Award

National Centre Of Robotics And Automation | Pakistan

Ms. Bushra Abro is a Computer and Information Engineer with a strong foundation in Electronic Engineering. She holds a Master’s degree in Computer and Information Engineering and a Bachelor’s in Electronic Engineering from Mehran University of Engineering & Technology, Pakistan, graduating top of her class. With professional experience as a Research Associate and Assistant at the National Centre of Robotics and Automation, she has contributed to projects in deep learning, computer vision, federated learning, and real-time condition monitoring. Her work has earned multiple publications and awards, including a gold medal at the All Pakistan IEEEP Student Seminar. She is passionate about advancing AI-driven technological innovation.

View Orcid Profile

Featured Publications


Towards Smarter Road Maintenance: YOLOv7-Seg for Real-Time Detection of Surface Defects

– Book Chapter, 2025Contributors: Bushra Abro; Sahil Jatoi; Muhammad Zakir Shaikh; Enrique Nava Baro; Bhawani Shankar Chowdhry; Mariofanna Milanova


Federated Learning-Based Road Defect Detection with Transformer Models for Real-Time Monitoring

– Computers, 2025Contributors: Bushra Abro; Sahil Jatoi; Muhammad Zakir Shaikh; Enrique Nava Baro; Mariofanna Milanova; Bhawani Shankar Chowdhry


Harnessing Machine Learning for Accurate Smog Level Prediction: A Study of Air Quality in India

– VAWKUM Transactions on Computer Sciences, 2025Contributors: Sahil Jatoi; Bushra Abro; Sanam Narejo; Yaqoob Ali Baloch; Kehkashan Asma


Learning Through Vision: Image Recognition in Early Education

– ICETECC Conference, 2025Contributors: Sahil Jatoi; Bushra Abro; Shafi Jiskani; Yaqoob Ali Baloch; Sanam Narejo; Kehkashan Asma


From Detection to Diagnosis: Elevating Track Fault Identification with Transfer Learning

– ICRAI Conference, 2024Contributors: Sahil Jatoi; Bushra Abro; Noorulain Mushtaq; Ali Akbar Shah Syed; Sanam Narejo; Mahaveer Rathi; Nida Maryam

Ann-marie Moiwo | Government and Public Policy Analysis | Best Research Article Award

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Ms. Ann-marie Moiwo | Government and Public Policy Analysis | Best Research Article Award

Njala University | Sierra Leone

Ann-Marie Moiwo is a dynamic professional with interdisciplinary training in international relations, public administration, and the social sciences. She holds a Master’s degree in International Relations from Renmin University and a Master of Public Administration from Njala University, supported by a strong academic foundation in History and Sociology from Fourah Bay College. Her professional experience spans administrative management, organizational coordination, research operations, and executive support across institutions in the public, private, and development sectors. She has contributed to nationwide research initiatives, supported high-level decision-making processes, and provided strategic and logistical support within academic and corporate environments. Her research interests include governance, public policy, international development, gender studies, and sociopolitical systems in West Africa. Passionate about evidence-based policy and institutional strengthening, she aims to advance impactful research and contribute to solutions addressing national and global development challenges. Ann-Marie has been recognized for her diligence, discipline, and strong work ethic, consistently demonstrating the capacity to thrive in fast-paced, multicultural, and high-responsibility environments. She remains committed to continuous learning, professional growth, and service within institutions that value integrity, innovation, and social transformation.

Profile : Orcid

Featured Publications

Genealogy as Analytical Framework of Cultural Evolution of Tribes, Communities, and Societies Ann-Marie Moiwo, Massaquoi, D., Moiwo, T. W., Sam, M., & Moiwo, J. P. (2025). Genealogy as analytical framework of cultural evolution of tribes, communities, and societies. Genealogy, 9(4).

Comparative Analysis of Neglected Attenuation and Negotiated Intervention Pathways to Conflict Resolution for Lasting Peace Juana, J., Moiwo, J. P., Challay, S., Bebeley, S. J., Mbavai, J. J., Yeganegi, K., & Sanguiné, L. (2025). Comparative analysis of neglected attenuation and negotiated intervention pathways to conflict resolution for lasting peace. Journal of Global Peace and Conflict, 12(3).

Hydro-economic Model Framework for Achieving Groundwater, Food, and Economy Trade-offs by Optimizing Crop Patterns Ma, Q., Yang, Y., Sheng, Z., Han, S., Yang, Y., & Moiwo, J. P. (2022). Hydro-economic model framework for achieving groundwater, food, and economy trade-offs by optimizing crop patterns. Water Research, 119, 119199.

Rainwater Harvesting for Supplemental Irrigation Under Tropical Inland Valley Swamp Conditions Blango, M. M., Cooke, R. A. C., Moiwo, J. P., Sawyerr, P. A., & Kangoma, E. (2020). Rainwater harvesting for supplemental irrigation under tropical inland valley swamp conditions. Irrigation and Drainage, 69(5).

Effect of Biochar Application Depth on Crop Productivity Under Tropical Rainfed Conditions Moiwo, J. P., Wahab, A., Kangoma, E., Blango, M. M., Ngegba, M. P., & Suluku, R. (2019). Effect of biochar application depth on crop productivity under tropical rainfed conditions. Applied Sciences, 9(13), 2602.

Talita Ferreira | Data Regulation | Best Researcher Award

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Ms. Talita Ferreira | Data Regulation | Best Researcher Award

University of Salamanca | Spain

Talita Ferreira is an experienced pharmacist and regulatory affairs specialist with over 20 years of expertise in the pharmaceutical industry, leading strategic projects across Latin America, the USA, and Africa. She holds a Master’s degree in Entrepreneurship from the University of São Paulo and is pursuing a PhD in Business Economy at Universidad de Salamanca, with a research focus on healthcare management, organizational strategies, decision-making processes, and knowledge management. Talita has served as CEO and founder of multiple companies, including Avanti Farmacêutica, Pharma Avanti, and Legis Consulting, providing regulatory, quality, and strategic support to pharmaceutical organizations. She has collaborated with global institutions such as the World Health Organization and the International Pharmaceutical Federation, supporting vaccine manufacturing expansion, regulatory compliance, and biowaiver alignment initiatives. Her professional experience spans regulatory submissions, due diligence, GMP inspections, and regulatory intelligence, contributing to product launches, portfolio expansion, and process improvements. Talita combines her industry expertise with academic experience as an assistant professor and facilitator of business simulation games in undergraduate and postgraduate programs. Known for her effective communication, leadership, and problem-solving skills, she is committed to fostering innovation, compliance, and sustainable growth within the pharmaceutical and healthcare sectors.

Profiles: Orcid | Google Scholar

Featured Publications

da Silva Ferreira, T., Pauletti, G. M., Fernandes, E. A. F., Campos, A. F., Aceituno, A., … (2024). “Knowledge-based: facilitating access to medicines in Latin America.”

de Oliveira, L. G., de Souza Marcelino, V., & da Silva Rangel, F. C. (2018). “Perception of chemicals graduates about the adoção of teaching methodologies in a virtual learning.

Ferreira, T. S. (2019). “Technical alignment of collaborators through the management of knowledge.” University of São Paulo.

Ferreira, T. S., Pauletti, G. M., & Vázquez-Suárez, L. (2025). “How the Stakeholders’ Perception Contributes to the Pharmaceutical Strategies: A Regional Case Study in Latin America.

Ferreira, T. S., Pauletti, G. M., Fernandes, E. A., Campos, A. F., Aceituno, A., … (2023). “Knowledge-Based: Strategic Access to Medicines in Latin America.

Sharon L Burton | Cybersecurity Data Analysis | Best Researcher Award

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Mr. Sharon L Burton | Cybersecurity Data Analysis | Best Researcher Award

Embry-Riddle Aeronautical University | United States

Dr. Sharon L. Burton is a distinguished faculty member and industry consultant whose work bridges cybersecurity governance, risk management, AI‑driven education, and human resources strategy. She holds a Ph.D. in Cybersecurity Leadership (2022) and a DBA in Quality Systems Management (2015), alongside dual MBAs in Management and HRM. Her career spans roles as Assistant Professor of the Practice in the College of Aviation at Embry‑Riddle and Doctoral Dissertation Chair at Capitol Technology University. Dr. Burton has authored 38 documents with 157 citations, reflecting an h‑index of 5, demonstrating substantial contributions across domains. Her research interests include cybersecurity leadership, organizational behaviour in cyber contexts, AI/augmented education, and workforce resilience. She has published notable articles such as “Cybersecurity Leaders: Knowledge Driving Human Capital Development” and “Exploring the Nexus of Cybersecurity Leadership, Human Factors, Emotional Intelligence, Innovative Work Behavior and Critical Leadership Traits.” Her teaching embodies a student‑centred philosophy: hands‑on projects, reflective feedback, ethical responsibility, and real‑world problem solving. Among her recognitions are awards for teaching excellence, leadership development, and organisational transformation. In summary, Dr. Burton effectively synthesizes academic rigour and practitioner insight to prepare graduates and organisations for leadership in an ever‑evolving cybersecurity landscape.

Profiles : Scopus | Orcid

Featured Publications

Burton, S. L. (2025). “A Modular Framework for Cybersecurity Laboratory Design in Higher Education.” Laboratories.

Burton, S. L. (2025). “Navigating Digital Transformation.” In Book Chapter.

Burton, S. L. (2025). “Digital Saboteurs: Unmasking Insider Cybersecurity Threats in Aviation and Aerospace.” Law, Economics and Society.

Burton, S. L. (2024). “Advancing Cybersecurity.” In Book Chapter.

Burton, S. L. (2024). “Cybersecure Futures.” In Book Chapter.

Greene, B. A., & Burton, S. L. (2024). “Organizational Readiness for Artificial Intelligence (AI) in Network Security.” In Book Chapter.