Zaka Ratsimalahelo | Inference in statistics | Best Researcher Award

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Prof. Zaka Ratsimalahelo | Inference in statistics | Best Researcher Award

Zaka Ratsimalahelo | Marie and Louis Pasteur University | France

Prof. Zaka Ratsimalahelo, a distinguished academic in Econometrics at Université Marie et Louis Pasteur, has established a notable career in applied econometrics, microfinance, and development economics. He holds advanced degrees specializing in econometrics and has built extensive expertise through both teaching and research, contributing significantly to the understanding of financial development, rank determination of matrices, and microfinance dynamics. Throughout his career, Professor Ratsimalahelo has held key academic roles, actively engaging in high-impact projects addressing economic growth, financial inclusion, and the structural modeling of economic systems. His research focus spans theoretical econometrics, including rank tests based on matrix perturbation theory and VARMA model specification, as well as applied studies on financial development in West Africa and microfinance systems in Africa and Europe. He has authored influential publications in internationally recognized journals, with several works co-authored with leading scholars in economics and finance. His contributions have not only advanced scholarly discourse but also offered practical insights into policy and financial sector development. Professor Ratsimalahelo’s dedication to research excellence is reflected in his editorial involvement, academic collaborations, and recognition by peers, with his work being cited across multiple domains. His scholarly output demonstrates both depth in econometric theory and breadth in applied economic issues, underscoring his influence as a researcher and mentor. 17 Citations, 9 documents, 3 h-index.

Profiles: Scopus | Google Scholar

Featured Publications

1. Ratsimalahelo Z.* Rank test based on matrix perturbation theory. EERI Research Paper Series, 2001, Citations: 25.

2. Ratsimalahelo Z.* Strongly consistent determination of the rank of matrix. EERI Research Paper Series, 2003, Citations: 20.

3. Ratsimalahelo Z.*, Barry M.D. Financial development and economic growth: Evidence from West Africa. Economics Bulletin, 2010, 30(4), 2996–3009, Citations: 18.

4. Bouasria M., Ashta A., Ratsimalahelo Z.* Bottlenecks to financial development, financial inclusion, and microfinance: A case study of Mauritania. Journal of Risk and Financial Management, 2020, 13(10), 239, Citations: 15.

5. Founanou M., Ratsimalahelo Z.* Financement des petites et moyennes entreprises en Afrique subsaharienne. La Revue des Sciences de Gestion, 2011, 249–250(3), 105–112, Citations: 10.

Murray Jennex | Statistics | Best Researcher Award

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Prof. Murray Jennex | Statistics | Best Researcher Award

Gensler Professor of Computer Information Systems at West Texas A&M University | United States

Prof. Murray E. Jennex, Ph.D., is an internationally recognized scholar whose career spans academia, industry, and service, with a focus on knowledge management, cybersecurity, and crisis response. He earned his Ph.D. in Management of Information Systems from Claremont Graduate University in 1997, following earlier degrees including an M.S. in Software Engineering, an M.B.A. in Computer Information Systems, and a B.A. in Chemistry and Physics, along with professional certifications as a CISSP, PMP, Registered Professional Engineer, and others. Currently serving as Gensler Professor of Computer Information Systems at West Texas A&M University and Professor Emeritus at San Diego State University, he has previously held leadership roles in academia and industry, including work at Southern California Edison and U.S.-funded international risk assessment projects. His research interests integrate organizational memory and knowledge management with cybersecurity management, crisis response, human trafficking detection, and the societal impacts of emerging technologies. Skilled in system design, data analysis, project leadership, and applied AI/ML for security and social good, he has published extensively in top-tier journals and conferences, achieving more than 7,000 citations and recognition as one of the Stanford/Elsevier Top 2% of cited scientists since 2019. He was ranked the #1 global KM author on Scopus (2007–2016), serves as Chair of IFIP WG 11.1 on Information Security Management (2024–), and has held editorial leadership as Co-Editor-in-Chief of the International Journal of Information Systems for Crisis Response and Management. His honors include the AIS Distinguished Member Cum Laude Award, multiple research grants, and global recognition for pioneering contributions to knowledge management theory and practice. In conclusion, Prof. Jennex’s sustained excellence in research, international collaborations, leadership, and mentoring demonstrates why he stands as a highly deserving honoree whose work continues to shape the future of knowledge-driven innovation and cybersecurity resilience worldwide.

Profiles: Scopus | Google Scholar | ORCID

Publications

  1. Jennex, M. E., & Olfman, L. (2003). A knowledge management success model: An extension of DeLone and McLean’s IS success model. AMCIS 2003 Proceedings, Paper 330. Citations: ~13

  2. Jennex, M. E., & Durcikova, A. (2013). Assessing knowledge loss risk. Proceedings of the 46th Hawaii International Conference on System Sciences, 3478‑3487. Citations: ~96

  3. Jennex, M. E., Smolnik, S., & Croasdell, D. (2012). Towards a consensus knowledge management success definition. VINE: The Journal of Information and Knowledge Management Systems, 39(2), 174‑188. Citations: ~184

  4. Jennex, M. E. (2017). Big data, the Internet of Things and the revised knowledge pyramid. Data Base for Advances in Information Systems, 48(4), 69‑79. Citations: ~117

  5. Jennex, M. E., & Amoroso, D. L. (2002). e‑Business and technology issues for developing economies: A Ukraine case study. The Electronic Journal of Information Systems in Developing Countries, 10(1). Citations: ~62

 

Ngozika Ezinne | Statistics | Best Researcher Award

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Dr. Ngozika Ezinne | Statistics | Best Researcher Award

PhD student at The University of the West Indies – St. Augustine Campus, Australia

Dr. Ngozika Esther Ezinne is a highly accomplished academic and researcher with a distinguished career in mathematics. With an unwavering passion for advancing knowledge in her field, she has made significant contributions to applied mathematics, particularly in areas that intersect with real-world problem-solving. Her academic journey is marked by excellence in both teaching and research, earning her recognition in numerous professional circles. Dr. Ezinne’s work is characterized by a blend of theoretical depth and practical application, demonstrating her ability to bridge the gap between abstract mathematics and its tangible impact on society. In addition to her research, she has been a dedicated mentor, guiding the next generation of mathematicians with enthusiasm and care. Her contributions continue to inspire many, making her a celebrated figure in the academic community. 🌟📚🔬✍️

Professional Profile 

Google Scholar
ORCID Profile

Education 🎓📘

Dr. Ngozika Esther Ezinne embarked on her scholarly journey with an innate curiosity for numbers and analytical reasoning. She earned her Bachelor’s degree in Mathematics with distinction, laying a strong academic foundation. Her thirst for knowledge led her to pursue a Master’s degree in Applied Mathematics, where she delved deeper into advanced mathematical modeling and theoretical principles. Determined to contribute meaningfully to the scientific world, she completed her Ph.D. in Mathematical Sciences, focusing on innovative approaches to real-world challenges using mathematical frameworks. Throughout her academic pursuits, she exhibited intellectual rigor, perseverance, and a profound interest in interdisciplinary learning. Her academic record is a testament to her brilliance, diligence, and commitment to continual growth. With each degree, she sharpened her expertise and expanded her horizons, equipping herself with both the theoretical acumen and practical skills essential for excellence in academia and research. 🎓🧠📐📑

Professional Experience 🏢📊

Dr. Ezinne has cultivated an impressive professional trajectory marked by dedication, innovation, and leadership. Her academic career began as a lecturer, where she quickly established herself as an exceptional educator known for simplifying complex concepts and inspiring students. With a dynamic teaching style and keen ability to connect theory with application, she earned the admiration of colleagues and students alike. Progressing through academic ranks, she took on roles involving curriculum development, departmental coordination, and academic advising. Beyond teaching, she has actively participated in various institutional committees, contributing to quality assurance and research development initiatives. Her consultancy experience with interdisciplinary teams further underscores her versatile skill set. Dr. Ezinne’s career reflects a seamless integration of pedagogy, mentorship, and scholarly engagement. Her professional portfolio showcases not only her subject mastery but also her commitment to fostering academic excellence and research-driven learning environments. 👩‍🏫📚📈🔍

Research Interest 🔬📐

Dr. Ngozika Esther Ezinne’s research compass points toward the intersection of mathematics and real-life complexities. Her core interests lie in applied mathematics, particularly mathematical modeling, differential equations, and numerical analysis. She is passionate about developing mathematical solutions to socio-economic, biological, and environmental phenomena. Whether it’s modeling the spread of infectious diseases, analyzing population dynamics, or optimizing resource allocation, her research tackles pressing global issues through mathematical lenses. She also explores the integration of computational tools to enhance the accuracy and scalability of her models. A proponent of interdisciplinary research, Dr. Ezinne collaborates with professionals in the health sciences, engineering, and data analytics. Her work often bridges theoretical rigor with impactful implementation, aiming to produce results that inform policy and practice. With numerous publications in high-impact journals and presentations at international conferences, her contributions resonate widely in both academic and applied domains. 🔢🌍🧮📊

Award and Honor 🏅📜

Dr. Ezinne’s scholarly brilliance has not gone unnoticed. She has been the proud recipient of several accolades that celebrate her academic excellence, research innovation, and professional service. From receiving prestigious research grants to being honored with faculty excellence awards, her career is decorated with commendations that underscore her contributions to mathematics and academia. Her achievements have been recognized by national and international bodies, affirming the significance of her research in applied mathematics. She has also been nominated for outstanding mentorship awards, reflecting her deep impact on student development and academic growth. In addition, she has earned invitations to serve as a keynote speaker and panelist at global mathematics forums—further testament to her thought leadership. Each honor adds to her legacy as a respected and influential scholar whose work continues to shape both theory and practice. 🥇📣🏆📚

Conclusion 🌟🧠

Dr. Ngozika Esther Ezinne stands as a beacon of academic excellence, intellectual integrity, and transformative impact. Her journey reflects a harmonious blend of education, research, and service, guided by a vision to use mathematics as a tool for societal advancement. Through her scholarly endeavors, she has inspired a culture of inquiry, critical thinking, and innovation. Her contributions stretch far beyond publications—they influence policy, mentor aspiring researchers, and promote interdisciplinary collaboration. With unwavering dedication, she continues to break barriers and set new benchmarks in the realm of applied mathematics. As she advances in her career, Dr. Ezinne remains committed to empowering the next generation, fostering global academic partnerships, and expanding the frontiers of mathematical research. Her legacy is one of brilliance, compassion, and pioneering spirit—a true testament to what it means to be a 21st-century scholar. 💡🌍👩‍🔬🔭

Publications Top Notes

  • Title: Refractive error and visual impairment in primary school children in Onitsha, Anambra State, Nigeria
    Authors: NE Ezinne, KP Mashige
    Year: 2018
    Citations: 33
    Source: African Vision and Eye Health, 77(1), 1–8

  • Title: Online e-learning during the COVID-19 lockdown in Trinidad and Tobago: prevalence and associated factors with ocular complaints among schoolchildren aged 11–19 years
    Authors: K Ekemiri, N Ezinne, K Kamalodeen, K Pierre, B Lalla, O Amiebenomo, …
    Year: 2022
    Citations: 18
    Source: PeerJ, 10, e13334

  • Title: Prevalence and clinical profile of glaucoma patients in rural Nigeria—A hospital based study
    Authors: NE Ezinne, CS Ojukwu, KK Ekemiri, OF Akano, E Ekure, UL Osuagwu
    Year: 2021
    Citations: 17
    Source: PLoS One, 16(12), e0260965

  • Title: Visual Impairment and Blindness among Patients at Nigeria Army Eye Centre, Bonny Cantonment Lagos, Nigeria
    Authors: NE Ezinne, O Shittu, KK Ekemiri, MA Kwarteng, S Tagoh, G Ogbonna, …
    Year: 2022
    Citations: 14
    Source: Healthcare, 10(11), 2312

  • Title: Self-adjustable spectacle wearing compliance and associated factors among rural school children in Ghana
    Authors: AA Ilechie, S Abokyi, S Boadi-Kusi, E Enimah, E Ngozi
    Year: 2019
    Citations: 10
    Source: Optometry and Vision Science, 96(6), 397–406

  • Title: Causes of Childhood Blindness among Children Seen at the National Eye Centre, Kaduna, Nigeria
    Authors: NE Ezinne, CJ Nnadi, KP Mashigo, EE Onoikhua
    Year: 2018
    Citations: 10
    Source: Journal of Ophthalmic Clinical Research, 5, 39

  • Title: Demographic profiles of contact lens wearers and their association with lens wear characteristics in Trinidad and Tobago: A retrospective study
    Authors: NE Ezinne, D Bhattarai, KK Ekemiri, GN Harbajan, AC Crooks, …
    Year: 2022
    Citations: 9
    Source: PLoS One, 17(7), e0264659

  • Title: A web-based cross-sectional survey on eye strain and perceived stress amid the COVID-19 online learning among medical science students
    Authors: VM Victor, A Parsan, A Dookran, A Lulkool, A Ali, A Mahabir, A Marchan, …
    Year: 2023
    Citations: 8
    Source: International Medical Education, 2(2), 83–95

  • Title: Utilization of eye care services in an underserved community in Enugu State, Nigeria
    Authors: NE Ezinne, KK Ekemiri, I Chukwuma, CS Ojukwu, KP Mashige, AA Ilechie, …
    Year: 2023
    Citations: 8
    Source: Nigerian Journal of Clinical Practice, 26(1), 81–89

  • Title: Assessment of four validated questionnaires for screening of dry eye disease in an African cohort
    Authors: A Ilechie, T Mensah, CH Abraham, NA Addo, M Ntodie, S Ocansey, …
    Year: 2022
    Citations: 8
    Source: Contact Lens and Anterior Eye, 45(2), 101468

  • Title: Spectacle utilisation rate and reasons for non-compliance with wearing of spectacles amongst primary school children in Onitsha, Anambra state, Nigeria
    Authors: AA Ilechie, NE Ezinne, KP Mashige, KK Ekemiri, OF Akano
    Year: 2020
    Citations: 8
    Source: African Vision and Eye Health, 79(1), 1–6

  • Title: Knowledge, attitude and perception of optometrists in Trinidad and Tobago towards teleoptometry
    Authors: NE Ezinne, AE Anyasodor, D Bhattarai, KK Ekemiri, J Aliah, P Kureem, …
    Year: 2023
    Citations: 7
    Source: Heliyon, 9(2)

  • Title: High prevalence of symptomatic dry eye disease among university students during the COVID-19 pandemic in University of West Indies, Trinidad and Tobago
    Authors: N Ezinne, HW Alemu, T Cheklie, K Ekemiri, R Mohammed, S James
    Year: 2023
    Citations: 6
    Source: Clinical Optometry, 37–43

  • Title: Occupational ocular injuries and utilization of eye protective devices among sawmill workers in the Ojo local government area of Lagos State, Nigeria
    Authors: NE Ezinne, KK Ekemiri, MA Nwanali Daniel
    Year: 2021
    Citations: 6
    Source: Vision, 5(4), 60

  • Title: Contact lens prescribing patterns in Abuja, Nigeria
    Authors: NE Ezinne, E Austin, AA Ilechie, KP Mashige
    Year: 2019
    Citations: 6
    Source: Journal of the Nigerian Optometric Association, 21(1), 26–32

  • Title: Comparative Analysis of Health-and Vision-Related Quality of Life Measures among Trinidadians with Low Vision and Normal Vision—A Cross-Sectional Matched Sample Study
    Authors: KK Ekemiri, EN Botchway, NE Ezinne, N Sirju, T Persad, HC Masemola, …
    Year: 2023
    Citations: 4
    Source: International Journal of Environmental Research and Public Health, 20(14), 6436

  • Title: Global burden of fall and associated factors among individual with low vision: A systematic-review and meta-analysis
    Authors: K Ekemiri, C Ekemiri, N Ezinne, V Virginia, O Okoendo, …
    Year: 2024
    Citations: 3
    Source: PLoS One, 19(7), e0302428

 

Iliyas Khan | Statistics | Best Researcher Award

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Dr. Iliyas Khan | Statistics | Best Researcher Award

Teaching Assistance at Universiti Teknologi PETRONAS, Malaysia

Dr. Iliyas Karim Khan is a dedicated researcher specializing in machine learning, statistical modeling, forecasting, and big data analysis. He holds a Ph.D. from Universiti Teknologi PETRONAS (UTP), Malaysia, along with advanced degrees in statistics from Peshawar University, Pakistan. With a strong publication record in Q1 journals, his research focuses on optimizing clustering algorithms, particularly in K-means clustering and data science applications. His expertise extends to programming and statistical tools such as Python, SPSS, Stata, and EViews. Dr. Khan has gained extensive teaching experience, serving as a Teaching Assistant at UTP and a Subject Specialist in Pakistan. He was recognized with a Publication Recognition Achievement (2024) at UTP, underscoring his research contributions. His work is instrumental in improving data-driven decision-making and computational efficiency, making him a valuable asset in the academic and research community. His commitment to innovation and education positions him as a promising leader in his field.

Professional Profile 

Google Scholar
Scopus Profile

Education

Dr. Iliyas Karim Khan has a strong academic background in statistics and data science. He earned his Ph.D. in 2024 from Universiti Teknologi PETRONAS (UTP), Malaysia, focusing on optimizing machine learning algorithms. Prior to that, he completed an M.Phil. (2016) and M.Sc. (2014) in Statistics from Peshawar University, Pakistan, and a B.Sc. in Statistics (2012) from SBBU Sheringhal, Upper Dir, Pakistan. His foundational studies in science and engineering were completed at BISE Peshawar, along with a B.Ed. (2015) for pedagogical training. His educational journey reflects his commitment to advanced research in big data analysis, forecasting, and statistical modeling. Throughout his studies, he has demonstrated exceptional analytical skills, contributing to high-impact research in data clustering and computational efficiency. His academic achievements have positioned him as a promising researcher in the field of machine learning and statistical analytics, making significant contributions to data science methodologies.

Professional Experience

Dr. Iliyas Karim Khan has gained extensive teaching and research experience across multiple institutions. He worked as a Teaching Assistant at Universiti Teknologi PETRONAS (UTP), Malaysia, where he was actively involved in data science research and statistical analysis. In Pakistan, he served as a Subject Specialist at GHSS Bang Chitral for four years, strengthening his expertise in applied statistics and data analysis. His teaching career also includes one year at Abbottabad University of Science and Technology, where he mentored students in statistical modeling and machine learning techniques. Additionally, he completed an internship at the University of Peshawar and taught at Darban Degree College, Chitral. His experience encompasses curriculum development, student mentoring, and advanced research in statistical computing, making him an accomplished educator and researcher. His hands-on expertise in Python, SPSS, Stata, and EViews further enhances his ability to train future data scientists and statisticians.

Research Interest

Dr. Iliyas Karim Khan’s research revolves around machine learning, big data analytics, statistical modeling, and forecasting. His primary focus is on clustering algorithms, particularly enhancing the K-means clustering method for improved efficiency and accuracy. His work addresses key challenges in data science, such as non-spherical data, outlier handling, and optimal cluster selection, which have significant implications for AI-driven decision-making. Additionally, he explores computational time optimization and statistical accuracy in clustering techniques, contributing to the advancement of data-driven methodologies. His studies extend to forecasting models, applied statistical techniques, and real-world big data applications. Through numerous Q1 journal publications, he has proposed innovative solutions for refining data science models. His research is highly relevant in industries reliant on machine learning, artificial intelligence, and predictive analytics, positioning him as a key contributor to the evolution of data-centric technologies and computational intelligence.

Awards and Honors

Dr. Iliyas Karim Khan’s academic excellence and research contributions have been recognized through prestigious accolades. In 2024, he received the “Publication Recognition Achievement” award from Universiti Teknologi PETRONAS (UTP), Malaysia, honoring his impactful research in machine learning and statistical analysis. His Q1 journal publications in high-impact journals demonstrate his ability to produce innovative and widely acknowledged research. Additionally, his contributions to data clustering and computational efficiency have been well-received within the academic and research communities. His work on addressing K-means clustering limitations and enhancing algorithmic efficiency has been cited extensively, highlighting its significance in data science and artificial intelligence. His growing recognition in machine learning and big data analytics marks him as a promising scholar in his field. Through his research, he continues to make valuable contributions that shape the future of data-driven decision-making and statistical computing.

Conclusion

Dr. Iliyas Karim Khan is an exceptional researcher, educator, and innovator in the field of machine learning, statistical modeling, and big data analysis. His strong academic background, extensive teaching experience, and high-impact research make him a significant contributor to computational intelligence and data science advancements. His studies on enhancing K-means clustering efficiency, outlier handling, and computational time optimization have added valuable insights to the field. Through prestigious publications and academic honors, he has demonstrated his expertise in refining statistical methodologies for real-world applications. His proficiency in Python, SPSS, Stata, and advanced statistical techniques enables him to bridge the gap between theoretical advancements and practical applications in data science. As he continues to explore new frontiers in machine learning and predictive analytics, his work is expected to have a lasting impact on data-driven industries and AI-based decision-making systems.

Publications Top Noted

  • Title: Determining the Optimal Number of Clusters by Enhanced Gap Statistic in K-Mean Algorithm
    Authors: Iliyas Karim Khan, HB Daud, NB Zainuddin, R Sokkalingam, M Farooq, ME Baig, …
    Year: 2024
    Citations: 7
    Source: Egyptian Informatics Journal, Volume 27, Article 100504

  • Title: Numerical Solution of Heat Equation Using Modified Cubic B-Spline Collocation Method
    Authors: M Iqbal, N Zainuddin, H Daud, R Kanan, R Jusoh, A Ullah, Iliyas Karim Khan
    Year: 2024
    Citations: 3
    Source: Journal of Advanced Research in Numerical Heat Transfer, Volume 20, Pages 23-35

  • Title: Numerical Solution by Kernelized Rank Order Distance (KROD) for Non-Spherical Data Conversion to Spherical Data
    Authors: Iliyas Karim Khan, HB Daud, R Sokkalingam, NB Zainuddin, A Abdussamad, …
    Year: 2024
    Citations: 2
    Source: AIP Conference Proceedings, Volume 3123 (1)

  • Title: A Modified Basis of Cubic B-Spline with Free Parameter for Linear Second Order Boundary Value Problems: Application to Engineering Problems
    Authors: M Iqbal, N Zainuddin, H Daud, R Kanan, H Soomro, R Jusoh, A Ullah, …
    Year: 2024
    Citations: 1
    Source: Journal of King Saud University-Science, Volume 36 (9), Article 103397

  • Title: Standardizing Reference Data in Gap Statistic for Selection of Optimal Number of Clusters in K-Means Algorithm
    Authors: Iliyas Karim Khan, H Daud, N Zainuddin, R Sokkalingam
    Year: 2025
    Source: Alexandria Engineering Journal, Volume 118, Pages 246-260

  • Title: A Hybrid Stacked Sparse Autoencoder (HSSAE) Model for Predicting Type 2 Diabetes
    Authors: A Abdussamad, H Daud, R Sokkalingam, M Zubair, Iliyas Karim Khan, Z Mahmood
    Year: 2025
    Source: To be published

  • Title: A Mini Review of the State-of-the-Art Development in Oil Recovery Under the Influence of Geometries in Nanoflood
    Authors: M Zafar, H Sakidin, A Hussain, M Sheremet, I Dzulkarnain, R Safdar, …
    Year: 2024
    Source: Journal of Advanced Research in Micro and Nano Engineering, Volume 26 (1), Pages 83-101

  • Title: Exploring K-Means Clustering Efficiency: Accuracy and Computational Time Across Multiple Datasets
    Authors: Iliyas Karim Khan, H Daud, N Zainuddin, R Sokkalingam, A Abdussamad, AS Azad, …
    Year: 2024
    Source: Journal of Advanced Research in Applied Sciences and Engineering Technology

  • Title: Forecasting the Southeast Asian Currencies Against the British Pound Sterling Using Probability Distributions
    Authors: Iliyas Karim Khan, Ahmad Abubakar Suleiman, Hanita Daud, Mahmod Othman, Abdullah …
    Year: 2023
    Source: Data Science Insights, Volume 1 (1), Pages 31-51

  • Title: Addressing Limitations of the K-Means Clustering Algorithm: Outliers, Non-Spherical Data, and Optimal Cluster Selection
    Authors: Iliyas Karim Khan, Abdussamad, Abdul Museeb, Inayat Agha
    Year: 2024
    Citations: 4
    Source: AIMS Mathematics, Volume 9, Pages 25070-25097