Desmond Bartholomew | Wavelet based analysis | Young Scientist Award

Published on by Research Data Analysis

Mr. Desmond Bartholomew | Wavelet based analysis | Young Scientist Award

Federal University Of Technology Owerri | Nigeria

Author  Profile

Scopus

orcid

Google Scholar

Early Academic Pursuits

Mr. Desmond Bartholomew began his academic journey with a Bachelor of Technology in Statistics from the Federal University of Technology, Owerri (FUTO), Nigeria, where he graduated with First Class honors. His undergraduate thesis addressed the Estimation of Nonorthogonal Problem Using Time Series Dataset, laying a strong foundation in quantitative modeling and time series analysis. He pursued his postgraduate studies at the University of Port Harcourt, earning a Master of Science in Statistics. His master’s thesis investigated the Effects of Maternal Education, Weight, and Age on Child Birth Weight in Nigeria, reflecting an early focus on public health data analysis.

Professional Endeavors

Mr. Bartholomew’s career reflects a dynamic mix of academic, research, and industry experience. He currently serves as an Assistant Lecturer in the Department of Statistics at FUTO, where he plays an active role in teaching, supervising projects, and supporting graduate seminars. He also holds the position of Facilitator and Trainer at the Centre of Excellence in Sustainable Procurement, Environmental and Social Standards (CESPESS), where he imparts practical statistical training for both undergraduate and postgraduate students.

Earlier, he worked as a Graduate Assistant in the same department, where he was instrumental in curriculum development, statistical consulting, and creating course materials in R and Python. In the corporate sector, Mr. Bartholomew served as a Management Information Systems Analyst at Leadway Assurance Company, contributing to data visualization, Power BI dashboard creation, and business intelligence reporting.

Contributions and Research Focus

Mr. Bartholomew’s research interests intersect statistical modeling, data science, machine learning, environmental statistics, engineering applications, and public health analytics. His published works showcase applications of wavelet transforms, Bayesian inference, experimental design, and artificial intelligence in solving contemporary issues in finance, community health, and engineering. His publications span high-impact journals including Annals of Data Science, Earth Science Informatics, and the CBN Journal of Applied Statistics.

Impact and Influence

Mr. Bartholomew’s influence is evident through his cross-disciplinary collaborations, involvement in international conferences, and active membership in professional bodies such as the Professional Statisticians’ Society of Nigeria and Data Science Network, Nigeria. His commitment to data-driven decision-making and capacity building is shaping the next generation of statistical and data science professionals in Nigeria. He also contributes to administrative and strategic planning roles at FUTO, enhancing both departmental and institutional functions.

Academic Citations

Mr. Bartholomew’s research output is indexed on Google Scholar, ResearchGate, SCOPUS, and Web of Science, providing global access to his work. His publications are increasingly cited in areas like applied statistics, machine learning, and environmental health, marking his growing reputation within the academic and professional data science community.

Technical Skills

Mr. Bartholomew possesses advanced technical competencies in R, Python, Power BI, and QlikView, with hands-on experience in data visualization, machine learning modeling, and multivariate analysis. His ability to integrate statistical knowledge with modern tools equips him to manage complex datasets and generate actionable insights. He also holds certifications in web programming, environmental standards, and data science from global platforms like DataCamp and institutions like HIIT Nigeria.

Teaching Experience

His teaching portfolio includes a wide range of undergraduate and postgraduate statistics courses, such as Descriptive Statistics, Probability Theory, Statistical Inference, Biostatistics, Experimental Design, Multivariate Methods, and Bayesian Inference. He has also developed and led modules in R programming, data cleaning, and survey analysis, often merging theoretical knowledge with real-world applications.

Legacy and Future Contributions

Mr. Bartholomew has taken up several leadership roles including serving as the President of the 2015 Alumni Association, Timetable Officer, and Website Desk Officer for the Department of Statistics at FUTO. He is deeply involved in mentoring students, shaping academic policy, and enhancing technological integration within the university. His recent recognition for the Best Research Publication in 2024 highlights his dedication to excellence in scholarly communication. With a clear vision for advancing evidence-based policymaking through data, Mr. Bartholomew is poised to contribute significantly to both national and international research landscapes.

Publication

Optimizing Nigerian Bank Lending Systems: The Power of Discrete Wavelet Transform (DWT) in Denoising and Regression Analysis

Authors: C. J. Ogbonna, C. J. Ohabuka, D. C. Bartholomew, K. E. Anyiam, I. Adamu
Journal: Annals of Data Science
Year: 2025

Modeling the Geotechnical Properties of Small Soil Samples of Oil Polluted Soil: The Power of Supervised Machine Learning Models

Authors: A. N. Nwachukwu, D. C. Bartholomew
Journal: Soil and Sediment Contamination
Year: 2024

Intervention Analysis of COVID-19 Vaccination in Nigeria: The Naive Solution Versus Interrupted Time Series

Authors: Desmond Chekwube Bartholomew, Chrysogonus Chinagorom Nwaigwe, Ukamaka Cynthia Orumie, Godwin Onyeka Nwafor
Journal: Annals of Data Science
Year: 2024

A Monte Carlo Simulation Comparison of Methods of Detecting Outliers in Time Series Data

Authors: Desmond C. Bartholomew
Journal: Journal of Statistics Applications & Probability
Year: 2022

Classical and Machine Learning Modeling of Crude Oil Production in Nigeria: Identification of an Eminent Model for Application

Authors: C. P. Obite, A. Chukwu, D. C. Bartholomew, U. I. Nwosu, G. E. Esiaba
Journal: Energy Reports
Year: 2021

Rami Al-Rifai | Social Impact | Excellence in Research

Published on by Research Data Analysis

Assoc Prof Dr. Rami Al-Rifai | Social Impact | Excellence in Research

 United Arab Emirates University | United Arab Emirates

Publication Profile

Scopus
Orcid
Google Scholar

INTRODUCTION 🏥

DR. RAMI AL-RIFAI is an Associate Professor of Epidemiology at the United Arab Emirates University (UAEU), where he has contributed significantly to public health research and education. A leader in the field of epidemiology, he has been recognized globally as one of the Top 2% most highly cited scientists from Stanford University for four consecutive years (2021-2024). Dr. Rami’s remarkable achievements span multiple facets of epidemiology, including infectious disease research, public health, and healthcare policy.

EARLY ACADEMIC PURSUITS 🎓

Dr. Rami’s academic journey began with his Bachelor’s and Master’s Degrees in Veterinary Medicine and Surgery from Jordan University of Science & Technology, completed in 2004 and 2007, respectively. His early training in medicine laid the foundation for his career in public health. He pursued a PhD in Public Health and Epidemiology from Tokyo Medical and Dental University, where he specialized in global health promotion. Upon completing his doctoral studies in 2014, Dr. Rami embarked on an illustrious career dedicated to advancing epidemiological research and teaching.

PROFESSIONAL ENDEAVORS 🧑‍⚕️

Since joining UAE University in 2017, Dr. Rami has been instrumental in shaping the institution’s research environment. His roles include Associate Professor of Epidemiology, Director of the PhD Program in Public Health, and Deputy Director of the MPH program. Dr. Rami has not only been a dedicated educator but has also held leadership roles in national health initiatives, including contributing to critical COVID-19 epidemiology efforts in the UAE.

CONTRIBUTIONS AND RESEARCH FOCUS  ON Social Impact🧬

Dr. Rami’s research spans both infectious and non-infectious diseases, with a particular emphasis on zoonotic diseases and their public health implications. His extensive portfolio includes 102 Scopus-indexed publications, with 89 of these published since joining UAEU. He also founded the Infectious Diseases Research Epidemiology Advancement Unit (IDERA) to further enhance research in infectious disease epidemiology across the UAE and beyond.

IMPACT AND INFLUENCE 🌍

Dr. Rami’s research and leadership have not only had a substantial impact in the UAE but have also gained global recognition. With over 3,500 citations on Google Scholar and an i10-index of 45, his work continues to shape the discourse on epidemiology worldwide. Dr. Rami has played pivotal roles in national health initiatives, guiding policy decisions and providing evidence-based recommendations to healthcare authorities in the UAE. His involvement in the Mutaba’ah Study, the UAE’s largest longitudinal birth cohort study, is a testament to his commitment to public health.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Rami has consistently been one of the top Scopus-indexed publishers at UAEU’s College of Medicine and Health Sciences, ranking in the top five throughout various years. His research productivity has been exceptional, with his articles published in high-impact journals like Lancet and BMJ Open. His overall publication record demonstrates a consistent focus on producing high-quality, impactful research that contributes to global health advancements.

HONORS & AWARDS 🏅

  • Top 2% Highly Cited Scientist by Stanford University (2021–2024)
  • Excellence-Award-Winning Scholar from UAEU College of Medicine and Health Sciences (2020)
  • Google Scholar h-index: 25, i10-index: 49, with over 3,500 citations.
  • Ranked among the top Scopus-indexed publishers at UAEU from 2017-2024.

These accolades reflect the significant global impact of Dr. Rami’s contributions to epidemiology and public health.

LEGACY AND FUTURE CONTRIBUTIONS 🏆

Dr. Rami’s legacy will be defined by his continued research excellence, innovative contributions to epidemiological studies, and his role in shaping future leaders in public health. With ongoing projects focused on infectious diseases and public health policy, Dr. Rami is poised to leave a lasting mark on the field and inspire future generations to advance global health.

FINAL NOTE 🔍

Dr. Rami Al-Rifai’s career has been marked by an unwavering dedication to advancing the field of public health and epidemiology. His global recognition and commitment to training future public health leaders further solidify his status as a key figure in healthcare research. As a consultant, educator, and researcher, Dr. Rami continues to influence public health policies and initiatives not only in the UAE but across the world.

TOP NOTES PUBLICATIONS 📚

Gestational diabetes mellitus in Europe: a systematic review and meta-analysis of prevalence studies

Authors: MS Paulo, NM Abdo, R Bettencourt-Silva, RH Al-Rifai
Journal: Frontiers in Endocrinology 🧑‍⚕️🔬
Volume: 12
Issue: 691033
Pages: 146
Year: 2021 📅

The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

Authors: KB Tran, JJ Lang, K Compton, R Xu, AR Acheson, HJ Henrikson, …
Journal: The Lancet 🌍📚
Volume: 400
Issue: 10352
Pages: 563-591
Year: 2022 📅

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease …

Authors: M Brauer, GA Roth, AY Aravkin, P Zheng, KH Abate, YH Abate, C Abbafati, …
Journal: The Lancet 🌍📚
Volume: 403
Issue: 10440
Pages: 2162-2203
Year: 2024 📅

Association between diabetes mellitus and active tuberculosis: A systematic review and meta-analysis

Authors: RH Al-Rifai, F Pearson, JA Critchley, LJ Abu-Raddad
Journal: PLoS One 🧑‍⚕️💡
Volume: 12
Issue: 11
Pages: e0187967
Year: 2017 📅

Prevalence, years lived with disability, and trends in anaemia burden by severity and cause, 1990–2021: findings from the Global Burden of Disease Study 2021

Authors: WM Gardner, C Razo, TA McHugh, H Hagins, VM Vilchis-Tella, …
Journal: The Lancet Haematology 🩸💉
Volume: 10
Issue: 9
Pages: e713-e734
Year: 2023 📅

Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019

Authors: HH Kyu, A Vongpradith, SB Sirota, A Novotney, CE Troeger, MC Doxey, …
Journal: The Lancet Infectious Diseases 🦠📚
Volume: 22
Issue: 11
Pages: 1626-1647
Year: 2022 📅

yayong shi | Bioinformatics | Best Researcher Award

Published on by Research Data Analysis

Assoc Prof Dr. yayong shi | Bioinformatics | Best Researcher Award

Peking University People’s Hospital, China

Publication Profile

Scopus

EARLY ACADEMIC PURSUITS 📚

Dr. Yayong Shi’s academic journey began with a Bachelor’s in Computer Science and Technology from the University of Science and Technology Beijing (2013-2017), where his interest in the intersection of technology and healthcare first took root. His pursuit of a Master’s degree in the same field at the same university (2018-2021) deepened his expertise in computer science, focusing on medical data analysis. This academic foundation laid the groundwork for his joint Ph.D. program, which he undertook between the University of Science and Technology Beijing and the PLA General Hospital Graduate School (2021-2024). His doctoral research marked a pivotal moment in his career, exploring bioinformatics and medical data, and setting him on a path toward blending technology and healthcare for impactful outcomes.

PROFESSIONAL ENDEAVORS 🏥

Dr. Shi’s professional journey led him to serve as an Associate Researcher at Peking University People’s Hospital & National Trauma Medical Center since July 2024. In this role, he is part of groundbreaking work in the medical field, combining computer science with real-time medical applications to drive early disease diagnosis and medical large model development. His position at one of China’s top medical institutions reflects his expertise in medical data processing and his growing reputation in the research community. This role allows him to further his research on multimodal data fusion and its application to early diagnosis, providing valuable insights into improving healthcare delivery and medical outcomes.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Shi’s research interests revolve around the fusion of multimodal data to enhance early disease diagnosis, particularly in critical medical conditions. His work on Medical Large Models has the potential to revolutionize how data is processed in medical environments, enabling faster and more accurate diagnoses. He is dedicated to improving medical data accuracy and predictive capabilities through advanced machine learning techniques. His contributions also include innovative research on optimizing data imbalances in disease prediction, handling missing labels in electronic health records, and completing medical data features in emergency rescue situations. His work has significantly influenced medical risk identification, offering groundbreaking systems that can process large volumes of healthcare data to identify critical risks in real-time.

IMPACT AND INFLUENCE 🌍

Dr. Shi’s influence extends beyond academic circles into real-world applications, particularly through his involvement in major research projects funded by the National Natural Science Foundation of China and the National Key R&D Program (Precision Medicine). His contributions to the Breast Cancer Onset and Prognosis Tracking System have made strides in precision medicine, where his work is helping shape systems for tracking disease onset and forecasting prognosis. His patents in optimizing medical data handling, especially in irregular medical time-series data and the construction of cross-medical-center chronic disease models, are prime examples of how his research is directly impacting the healthcare sector. Dr. Shi’s innovations are designed to improve efficiency and accuracy in healthcare diagnostics and treatments, offering a global ripple effect in advancing medical technologies.

ACADEMIC CITATIONS 📑

While specific citation counts may not be provided in this text, Dr. Shi’s groundbreaking research in areas such as medical data feature completion and automated discharge monitoring has gained recognition in various academic papers and journals. His work on machine learning and data analysis in healthcare settings has earned citations in studies focused on improving medical technologies, thus contributing to a broader dialogue in the medical technology community.

LEGACY AND FUTURE CONTRIBUTIONS 🌟

Dr. Shi’s legacy in the field of bioinformatics and medical data processing is being shaped by his persistent dedication to enhancing the quality of care through technology. With numerous patents to his name, his innovations are poised to redefine how data is handled in medical contexts. Looking forward, his continued work on medical large models and multimodal data fusion will likely influence the future of precision medicine, further advancing the integration of AI in healthcare. His potential contributions to personalized medicine, where each patient’s treatment is tailored based on data-driven insights, will undoubtedly leave a lasting impact on medical research, care standards, and patient outcomes for generations to come.

IMPORTANT RESEARCH PROJECTS 💡

Dr. Shi has been instrumental in leading major research projects like the Construction and Application of Network Information Support Systems and the Development of Medical Helicopter Systems, both of which aim to improve emergency medical services and infrastructure in China. These projects not only advance his work in medical data processing but also showcase his commitment to improving emergency healthcare systems, potentially saving countless lives by ensuring timely medical interventions.

Publication Top Notes

Node Search Contributions Based Long-Term Follow-Up Specific Individual Searching Model
    • Authors: Shi, Yayong, et al.
    • Journal: Tsinghua Science and Technology
    • Year: 2023
A Disease Transmission Model Based on Individual Cognition
    • Authors: Nian, Fuzhong, Yayong Shi, Zhongkai Dang
    • Journal: International Journal of Modern Physics B
    • Year: 2020
Modeling Information Propagation in High-Order Networks Based on Explicit–Implicit Relationship
    • Authors: Nian, Fuzhong, Yayong Shi, Jun Cao
    • Journal: Journal of Computational Science
    • Year: 2021
EpiRiskNet: Incorporating Graph Structure and Static Data as Prior Knowledge for Improved Time-Series Forecasting
    • Authors: Shi, Yayong, et al.
    • Journal: Applied Intelligence
    • Year: 2024
COVID-19 Propagation Model Based on Economic Development and Interventions
    • Authors: Nian, Fuzhong, Yayong Shi, Jun Cao
    • Journal: Wireless Personal Communications
    • Year: (Year not fully provided, please verify)
COVID-19 Transmission Dynamics in High-Risk Population Networks
    • Authors: Shi, Yayong, et al.
    • Journal: Control Theory and Applications
    • Year: 2020

Bibiana Pérez-Ardanaz – Healthcare Data Analysis –  Transcontinental Excellence in Research Data Analysis Award 

Published on by Research Data Analysis

Prof Dr. Bibiana Pérez-Ardanaz - Healthcare Data Analysis -  Transcontinental Excellence in Research Data Analysis Award 

Universidad de Málaga - Spain

Author Profile

Early Academic Pursuits

Prof Dr. Bibiana Pérez Ardanaz embarked on her academic journey at the Escuela Universitaria Bahía de Algeciras, affiliated with the University of Cádiz, where she earned her degree in Nursing from 2003 to 2006. Her passion for pediatric care led her to specialize in Pediatric Nursing through an EIR program, receiving an accreditation of excellence from the Hospital Materno Infantil de Málaga in 2012-2014. Further enhancing her expertise, Bibiana pursued a Doctorate in Health Sciences at the University of Málaga, focusing on the quality of life and resource utilization in children with complex chronic diseases, which she completed in November 2020. Her commitment to professional development is also evident in her completion of over 60 continuing education courses, totaling nearly 1000 hours, spanning clinical, teaching, and research skills.

Professional Endeavors

Prof Dr. Bibiana’s professional career is marked by a diverse range of roles across different sectors. From January 2007 to November 2015, she worked in critical care settings, including emergency units and pediatric and neonatology wards, across various hospitals and health services like SAS, Ibet-Salut, and Helicópteros Sanitarios. Transitioning to academia, Bibiana took on roles as a Substitute Professor and later as an Assistant Professor at the University of Granada, where she has been involved since May 2013. Her teaching portfolio includes coordinating and lecturing on subjects such as Adult Nursing III, Nutrition and Dietetics, and School Health.

Contributions and Research Focus

Prof Dr. Bibiana Pérez Ardanaz has significantly contributed to the field of pediatric nursing and healthcare through extensive research and scholarly activities. She has been a principal investigator in research projects focusing on palliative care and quality of life for children with chronic and degenerative diseases. Additionally, she has collaborated on studies evaluating the physical and mental health and economic impacts on caregivers of children with chronic illnesses. Her work has been showcased at numerous national and international conferences, emphasizing her commitment to advancing pediatric nursing and healthcare practices.

Accolades and Recognition

Throughout her career, Bibiana has earned various accolades that reflect her excellence in both clinical and academic realms. Her doctoral program and her specialized training courses were completed with outstanding evaluations, underlining her competence and dedication. Furthermore, her active participation and leadership roles in international nursing conferences and as a member of scientific committees have established her as a respected figure in her field.

Impact and Influence

Prof Dr. Bibiana Pérez Ardanaz's impact on the healthcare community is profound, particularly in the realms of pediatric and emergency nursing. Through her teaching, she has influenced the next generation of nurses, imparting essential knowledge and skills that are critical in improving patient outcomes. Her research has not only contributed to academic knowledge but has also had practical implications for improving the care and quality of life of chronically ill children and their families.

Legacy and Future Contributions

Looking ahead, Bibiana is poised to continue her influential work in pediatric healthcare. Her ongoing involvement in cutting-edge research and her commitment to teaching positions her to drive further innovations in nursing education and practice. As healthcare continues to evolve, particularly in responding to complex pediatric conditions, Bibiana’s expertise and ongoing research will likely play a crucial role in shaping effective and compassionate healthcare practices.

In conclusion, Bibiana Pérez Ardanaz stands out as a dedicated healthcare professional whose academic and professional pursuits have made substantial contributions to nursing and healthcare, particularly in pediatrics. Her legacy and future work will undoubtedly continue to influence and advance the field, benefiting patients and healthcare professionals alike.

Citations

A total of 103 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations    103
  • h-index       6
  • i10-index    3

Notable Publication

 

Shital Saha | Best Researcher Award | Statistical Methods

Published on by Research Data Analysis

Shital Saha | Best Researcher Award Winner 2023  🏆

Mr Shital Saha : Statistical Methods

Congratulations to Mr. Shital Saha, recipient of the Statistical Methods Best Researcher Award at the International Research Data Analysis Excellence Awards! Your dedication to advancing statistical methods is truly commendable, and this recognition is a testament to your outstanding contributions. Well done!

Professional profile:

Early Academic Pursuits:

I embarked on my academic journey in Patiram High School, West Bengal, excelling in subjects like Bengali, English, Mathematics, Physics, Chemistry, History, and Geography. This laid the foundation for my future educational endeavors.

In 2013, I pursued a Bachelor's degree from Balurghat College, specializing in Mathematics (Hons.), Physics, and Chemistry. Subsequently, I obtained a Master's degree in Mathematics from the University of Gour Banga in 2015, showcasing my commitment to the field.

Professional Endeavors:

Driven by a passion for education, I earned a B.Ed. degree in 2017 from the University of Gour Banga, specializing in Mathematics. This equipped me with the skills needed to contribute meaningfully to the field of education.

Currently, I am pursuing a Ph.D. in Statistics with a focus on Statistical Information Theory at the National Institute of Technology Rourkela, under the guidance of Prof. Suchandan Kayal.

Contributions and Research Focus:

My research, centered on Statistical Information Theory, explores diverse aspects. Notable publications include works on extended fractional cumulative past, paired φ-entropy measures, and weighted varentropy. Furthermore, my ongoing studies delve into informational characteristics of cubic transmuted distributions and general weighted information generating functions.

As a referee for Contemporary Mathematics, I actively engage in the scholarly community, contributing to the peer-review process.

Accolades and Recognition:

My academic achievements include qualifying JAM-2013 (AIR-658), CSIR-UGC NET (JRF) Dec. 2019 (AIR-221), and WBSET-2020. Additionally, I successfully cleared CTET (Paper I & II) in December 2019.

Impact and Influence:

My research, as evidenced by published and under-review papers, contributes valuable insights to the fields of physics and applied mathematics. Attendance at workshops and seminars underscores my commitment to staying abreast of emerging trends in statistical research.

Legacy and Future Contributions:

I am dedicated to leaving a lasting impact through my contributions to academia. My ongoing Ph.D. research and engagement as a referee indicate a commitment to the advancement of statistical knowledge.

In the future, I aspire to further enrich the field through continued research, teaching, and collaboration with peers and scholars globally. My legacy aims to inspire future generations in the pursuit of knowledge and excellence.

Notable publication :

Citations:

A total of  83 citations for his publications, demonstrating the impact and recognition of his research within the academic community.