Mohammad Alahmad | Machine Learning Applications | Best Researcher Award

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Dr. Mohammad Alahmad | Machine Learning Applications | Best Researcher Award

 University of Greenwich | United Kingdom

Mohammad Al AHMAD is a dedicated part-qualified ACCA professional and experienced Accounting and Financial Management lecturer with extensive higher-education teaching, research, and financial analysis expertise. He holds a PhD in Accounting and Financial Management from the University of Portsmouth, an MSc in Accounting and Finance from Bath Spa University, an MSc in Finance, and a BSc in Accounting and Financial Management. His professional experience spans senior and lecturer roles at Anglia Ruskin University, Arden University, University of Portsmouth, and others, alongside FP&A experience at Oliver Wyman. His research interests include risk disclosure, big data analytics, financial reporting quality, and governance, supported by strong quantitative, coding, and statistical research skills. His academic contributions include peer-reviewed publications, teaching certifications, and international recognition, reflecting a sustained commitment to excellence in education, research, and inclusive academic leadership.

Citation Metrics (Scopus)

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Top Publications

Fahad Ali*, Muhammad Ahmar, YueXiang Jiang*, Mohammad Alahmad* (Forthcoming).

A Techno-economic Assessment of Hybrid Energy Systems in Rural Pakistan


Energy (SCI, Impact Factor: 6.082, Q1 Journal)

Fahad Ali*, RongRong He, Mohammad Alahmad*, YueXiang Jiang (Accepted).

Social Acceptance of Solar Technology in Developing Countries: Lessons for Pakistan


Journal of the Asian Economic Community (Journal launch & indexing in progress)

Fahad Ali, Elie Bouri, Nader Naifar, Syed Shahzad, Mohammad Alahmad* (Accepted).

Are Gold-backed Islamic Cryptocurrencies Safe Havens for International Islamic Equity Markets?


Research in International Business and Finance

Yang Peng | Public Health Analytics | Research Excellence Award

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Dr. Yang Peng | Public Health Analytics | Research Excellence Award

The University of Queensland | Australia

Dr. Yang Peng is an accomplished epidemiologist and Research Fellow at the Epidemiology Division, Cancer Council Victoria, with a strong focus on population health, cardiovascular disease, and cancer epidemiology. He earned his PhD in Epidemiology from The University of Queensland, Australia, following an MMed in Epidemiology and Biostatistics from Guangdong Pharmaceutical University, China, and a BMed in Clinical Medicine from Hebei Medical University, China. Dr. Peng’s professional experience spans roles in cardiovascular outcomes research, Indigenous cancer survival studies, and large-scale international cohort analyses, involving data from over 2 million participants across multiple cohorts. His expertise includes statistical analysis of large-scale linked data, systematic review, meta-analysis, and advanced use of statistical software such as Stata, SAS, and SPSS. He has authored 41 documents, cited 667 times across 649 documents, and holds an h-index of 17, with publications in high-impact journals including Scientific Reports, Stroke, European Heart Journal, and Cancer Epidemiology, Biomarkers & Prevention. His research interests focus on lifestyle factors, cardiovascular health metrics, cancer prevention adherence, stroke and heart failure outcomes, and population-level survival disparities. Through rigorous research, collaborative projects, and evidence-based analyses, Dr. Peng contributes significantly to understanding disease epidemiology, improving public health policies, and guiding preventative strategies globally.

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Featured Publications

Chang Liu | Digital Data | Research Excellence Award

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Mr. Chang Liu | Digital Data | Research Excellence Award

 Xi ’ an University of Posts & Telecommunications Shaanxi | China

Mr. Chang Liu is a researcher specializing in data analysis and its application in the digital economy, enterprise value creation, and policy evaluation. He holds advanced degrees in economics and finance, and has contributed extensively to academic research, national-level projects, and provincial research initiatives. His expertise encompasses the full data analysis workflow, including data collection, cleaning, modeling, and empirical verification, with proficiency in Python, STATA, and SPSS. He has co-authored multiple SSCI and PKU Core papers focusing on digital finance, enterprise digital transformation, ESG impact, and the role of data elements in promoting new quality productive forces. In addition, he has led key data analysis tasks in projects evaluating corporate performance, large model spillovers, digital asset accounting, and the internal transmission mechanism of the digital economy. His research integrates advanced econometric methods, spatial models, panel regressions, and complex system coordination frameworks to ensure robust and scientifically reliable conclusions. Through practical work, including enterprise audits and data asset evaluations, he has applied analytical techniques to real-world problems, producing actionable insights. Mr. Liu’s work demonstrates a commitment to precision, academic rigor, and the advancement of data-driven research, contributing significantly to both theoretical understanding and practical application in the field of digital economy and enterprise innovation.

Profile : Orcid

Featured Publication

How data elements fuel new quality productive forces in enterprises: A perspective from digital finance, 2026

Vaishali Sharma | Neuroscience Data Analysis | Best Researcher Award

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Dr. Vaishali Sharma | Neuroscience Data Analysis | Best Researcher Award

Post Graduate Institue of Medical Education and Research (PGIMER) | India

Dr. Vaishali Sharma is a Senior Research Fellow at the Department of Neurology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, specializing in neurobiology, neuroinflammation, and sleep disorders. She earned her Ph.D. in Neurology (2020–2025) from PGIMER, focusing on the role of aquaporins, heat shock proteins, and neuroinflammatory markers in idiopathic intracranial hypertension (IIH) and their correlation with clinical parameters. She also holds a master’s degree in Zoology and a bachelor’s in Medical Science. Her research encompasses molecular biomarkers, blood-brain barrier disruption, circadian rhythm disturbances, and the evaluation of sleep and headache disorders, combining clinical, translational, and systematic review approaches. Dr. Sharma has contributed to multiple peer-reviewed publications and conference presentations, investigating psychiatric and sleep abnormalities, migraine care, and IIH pathophysiology. She has been recognized with several awards and fellowships, including CSIR and ICMR travel grants, best poster awards, and national and international research fellowships. Her professional activities extend to academic leadership and organizing conferences in neuro-ophthalmology and neurology. Dr. Sharma’s work advances the understanding of neuroinflammatory mechanisms, sleep disorders, and headache pathophysiology, providing insights for improved diagnosis, treatment, and quality of life for patients with neurological disorders.

Profile : Google Scholar

Featured Publications

Choudhary, N., Kumar, A., Sharma, V., Kaur, K., Kharbanda, P. S., Baishya, J., et al. (2024). “Effectiveness of CBT for reducing depression and anxiety in people with epilepsy: A systematic review and meta-analysis of randomized controlled trials.” Epilepsy & Behavior, 151, 109608.

Sharma, V., Chakravarty, K., Ray, S., Lal, V., & Takkar, A., Kharbanda, P. (2021). “Evaluation of prevalence and severity of obstructive sleep apnea using overnight-polysomnography in patients with idiopathic intracranial hypertension.” Journal of the Neurological Sciences, 429.

Sharma, V., Chakravarty, K., & Ray, S. (2023). “Questionnaire-based evaluation of sleep abnormality in patients with primary headache disorder: A cross-sectional study from tertiary care centre.” Journal of the Neurological Sciences, 455.

Sharma, S. R. V., & Chakravarty, K. (2023). “Questionnaire-based assessment of sleep abnormalities in patients with migraine: A cross-sectional study with a comparison group.” Annals of Indian Academy of Neurology, 26, S186.

Sharma, A. T. K., Chakravarty, K., Lal, V., & Kharbanda, P. S., et al. (2022). “Sleep and headache characteristics in patients with idiopathic intracranial hypertension (IIH) – An observational study.” Annals of Indian Academy of Neurology, 25, S296–S297.

Zitong Gao | Big data Integration | Research Excellence Award

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Ms. Zitong Gao | Big data Integration | Research Excellence Award

Dalian University | China

Ms. Zitong Gao is a dedicated nursing graduate student specializing in quantitative research methodologies within the field of chronic disease management. Building on a Bachelor of Science in Nursing and currently pursuing a Master of Science in Nursing at Dalian University, she has developed a strong academic foundation in nursing theories, advanced health assessment, geriatric nursing, and evidence-based practice. Her research experience includes participating in quantitative studies, collecting and analyzing data, and contributing to the development of academic manuscripts. In addition to her research background, she completed a comprehensive clinical internship at a university-affiliated hospital, where she gained hands-on experience in internal medicine, surgery, and holistic patient care through assessment, care planning, implementation, and evaluation. Skilled in statistical software such as SPSS, Mplus, Excel, and Stata, she integrates data-driven approaches into her research work. Her professional interests focus on improving patient outcomes, chronic disease self-management, gerontological nursing, and advancing nursing practice through rigorous quantitative inquiry. She has earned her nurse qualification certificate, demonstrating a solid commitment to professional standards in clinical care. With a strong blend of academic training, research competence, and clinical experience, she aims to contribute meaningfully to nursing science and patient-centered healthcare advancements.

Profile : Orcid

Featured Publication

Latent transition of social participation and its relationship with frailty among older adults with chronic non-communicable diseases in China: A national longitudinal study, 2025

Mohammad Zeyauddin | Qualitative Research | Best Researcher Award

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Assist. Prof. Dr. Mohammad Zeyauddin | Qualitative Research | Best Researcher Award

Jubail Industrial College | Saudi Arabia

Dr. Mohammad Zeyauddin is an accomplished Assistant Professor in the Department of General Studies, Mathematics Section, at Jubail Industrial College, Saudi Arabia. With over fourteen years of teaching experience at undergraduate and postgraduate levels, he has contributed significantly to curriculum development, academic mentorship, and student engagement. Dr. Zeyauddin holds a Ph.D. in Applied Mathematics from Banaras Hindu University, India, with research focused on spatially homogeneous and anisotropic Bianchi Type V cosmological models in general relativity and scalar-tensor theories of gravitation. He also completed a Post-Doctoral Fellowship at the Joint Institute for Nuclear Research, Dubna, Russia, specializing in relativistic cosmology. His teaching repertoire spans Linear Algebra, Differential and Integral Calculus, Differential Equations, Complex and Functional Analysis, Tensor Analysis, Probability and Statistics, and Computational Mathematics. He has published over 30 international research papers and serves as a reviewer for the American Mathematical Society. His research interests include non-linear differential equations, general relativity, cosmology, and scalar-tensor theories of gravitation. Recognized for academic excellence, he has received UGC Junior and Senior Research Fellowships, postdoctoral fellowships, and appreciation for curriculum contributions. Dr. Zeyauddin continues to inspire students and peers through innovative teaching, research, and contributions to mathematical sciences.

Profile : Orcid

Featured Publications

Dayanandan, B., Pradhan, A., Zeyauddin, M., & Banerjee, A. (2025). Quark stars with strongly interacting quark matter in energy-momentum squared gravity. International Journal of Geometric Methods in Modern Physics.

Pradhan, A., Zeyauddin, M., Dixit, A., & Krishnannair, S. (2025). Dust-fluid accelerating flat cosmological models in f(R,T,Lm)-gravity with observational constraints. International Journal of Geometric Methods in Modern Physics.

Pradhan, A., Zeyauddin, M., Dixit, A., & Ghaderi, K. (2025). Phantom dark energy behavior in Weyl type f(Q,T) gravity models with observational constraints. Universe, 11(8).

Pradhan, A., Dayanandan, B., Zeyauddin, M., & Banerjee, A. (2025). On the possible existence of wormholes in Rastall–Rainbow gravity. International Journal of Modern Physics A.

Pradhan, A., Dixit, A., Zeyauddin, M., & Krishnannair, S. (2024). A flat FLRW dark energy model in f(Q,C)-gravity theory with observational constraints. International Journal of Geometric Methods in Modern Physics.

Huiyuan Ye |  Educational Data Analysis | Best Researcher Award

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Dr. Huiyuan Ye |  Educational Data Analysis | Best Researcher Award

Shanghai Jian Qiao University | China

Dr. Huiyuan Ye is a distinguished scholar in higher education management and sustainable development. Holding a Doctor of Education (Ed.D.) from the University of Pittsburgh (2017) and prior degrees in English Literature from Shanghai International Studies University (M.A. 2009; B.A. 2006), he has held academic, research, and administrative roles at institutions including the University of Pittsburgh, Southern New Hampshire University, Duke Kunshan University, and currently Shanghai Jian Qiao University, where he serves as Vice Dean for Research and Faculty Director of the Research Center for Sustainable Development of Foreign Language Education. His research, published in SSCI Q1 journals, focuses on liberal arts and sciences education, global higher education, and embedding UNESCO’s Education for Sustainable Development (ESD) agenda into foreign language curricula. He has contributed to 11 scholarly documents, cited 140 times, and maintains an h‑index of 6. Dr. Ye’s work emphasizes interdisciplinary pedagogy, competency‑based education, workforce insights, and sustainable development strategies. Recognized with awards such as the “Great Educator of the New Age” nomination by the Shanghai Municipal Education Commission, he has collaborated with international organizations including UNESCO, USAID, and Lumina Foundation. Through research, curriculum innovation, and international engagement, Dr. Ye continues to advance higher education reform and comparative education scholarship, bridging theory and practice in East Asian and global contexts.

Profiles : Scopus | Google Scholar

Featured Publications

Ye, H. (2024). Interdisciplinary mobility: An approach to measuring interdisciplinary learning outcomes by using curricular checkpoints. International Journal of Sustainability in Higher Education, ahead-of-print(ahead-of-print).

Ye, H. (2024). Setting off the dominoes: A theory of change for scaled interdisciplinarity at a Sino-American joint-venture liberal arts and sciences University in China. Asia Pacific Education Review.

Wang, X., Xiong, W., & Ye, H. (2023). Chinese Doctoral Students’ Perceptions of Employability in the United States: Cultivating Preparedness for a Challenging World. In T. Brown (Ed.), Graduate Students at Work: Exploited Scholars of Neoliberal Higher Education (Rethinking Careers, Rethinking Academia). University Press of Kansas

Mok, K.-H., Xiong, W., & Ye, H. (2021). COVID-19 Crisis and Challenges for Graduate Employment in Taiwan, Mainland China, and East Asia: A Critical Review of Skills Preparing Students for Uncertain Futures. Journal of Education and Work.

Wang, X., Jacob, W. J., Blakesley, C. C., Xiong, W., Ye, H., Xu, S., & Lu, F. (2020). Optimal Professional Development ICT Training Initiatives at Flagship Universities. Education and Information Technology.

Eman Ayman Nada |  Public Health Analytics | Best Researcher Award

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Dr. Eman Ayman Nada |  Public Health Analytics | Best Researcher Award

Mnistry of Health, Damietta | Egypt

Dr. Eman Ayman Nada is a pharmacist-researcher who earned her Bachelor’s degree in Pharmaceutical Sciences at the Tanta University (2017–2022), graduating with a “Very Good” grade. She currently serves as a hospital pharmacist at Kafr Saad Central Hospital in Damietta, Egypt, and as a researcher with the Medical Research Group of Egypt (MRGE) in Arlington, USA. In her research role she has led systematic reviews and meta-analyses (including as first or corresponding author), performing data analysis with RevMan and SPSS. Her education and internships have included clinical research training (via Negida Academy) and GCP certification (viaMedical Agency for Research and Statistics in London). Her research interests span clinical pharmacy, systematic reviews and meta-analysis, pharmacoepidemiology, drug safety and pharmacovigilance, and the intersection of data-analysis / machine-learning with public-health outcomes. She has also served in student-research leadership roles, coordinating training for hundreds of students in scientific research methodology. Looking ahead, she aims to further publish high-impact evidence-based medicine studies, mentor emerging researchers, and contribute to improved pharmaceutical care through rigorous clinical research.

Profiles : Orcid | Scopus

Featured Publications

1️⃣ Nada, E. A., Abu Kaddorah, M. E., El Jamal, M., Hamad, A., & Mansour, F. R. (2025). Eggshell waste as a sustainable resource for nanoparticle preparation; synthesis, characterization and applications. Environmental Nanotechnology, Monitoring & Management.

2️⃣ Varghese, C., Peters, L., Gaborit, L., Xu, W., Kalyanasundaram, K., Basam, A., Park, M., Wells, C., McLean, K. A., Schamberg, G., et al. (2025). Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation model. npj Digital Medicine.

3️⃣ Zaazouee, M. S., Nada, E. A., Al-kafarna, M., Shaheen, A., Ramu, S. K., Hafez, A. H., Matar, S. G., Assar, A., Elshennawy, M., Abu El-Enien, H., et al. (2025). A multinational cross-sectional study on the prevalence and predictors of long COVID across 33 countries. Scientific Reports.

4️⃣ Abdelghany, A., Qutob, I. A., Abdel Azim, A., Assem, M., Gad, M., Shawkat, A., Gamal, A., & Nada, E. A. (2025). Perioperative and oncological outcomes of laparoscopic versus open pancreaticoduodenectomy: A meta-analysis of randomized controlled trials. Annals of Oncology.

5️⃣ Chukr, M., Mohamady, A. O., Abdallh, F., Farrag, D. A., Nada, E. A., Qutob, I. A., & Elsayed, M. M. (2025). Knowledge, Attitudes, and Practices of Blood Donation Among Medical Students: A Systematic Review Across Nine Countries. Preprint.

 

Ujjwal Das | Public Health Analytics | Young Scientist Award

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Dr. Ujjwal Das | Public Health Analytics | Young Scientist Award

Fakir Mohan University | India

Dr. Ujjwal Das is an Assistant Professor (Temporary) of Geography at Fakir Mohan University, India, specializing in social determinants of population health, geospatial analysis, and public health research. He earned his Ph.D. in Geography from Rajiv Gandhi University, Arunachal Pradesh (2025), following an M.Phil. and Master of Population Studies from the International Institute for Population Sciences (IIPS), Mumbai, and a Gold Medalist M.A. in Applied Geography from Ravenshaw University. Dr. Das has presented his research at multiple national and international conferences, focusing on urban poverty, child malnutrition, elderly morbidity, and maternal health. His scholarly contributions include over 14 peer-reviewed publications, 5 book chapters, and extensive research on mortality, fertility, and population-environment interactions. He is proficient in quantitative and spatial analysis tools including SPSS, STATA, ArcGIS, R, and Mortpak. With an h-index of 3, more than 9 documents, and over 37 citations, his work is widely recognized for its impact on public health and population geography. Dr. Das has received awards for excellence in research and contribution to population studies. His ongoing work integrates geospatial methods with social science approaches to inform policy and improve health outcomes in India, particularly among vulnerable populations.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Das, U., & Mohanty, S.K. (2025). “Urban Poverty and Child Malnutrition in India: A Geographical Analysis” in Health on the Move: Population and Public Health Perspectives.

Ahamad, V., & Das, U. (2025). “Health on the move: cardiovascular disease risk among ageing male migrants in India” in Archives of Gerontology and Geriatrics Plus.

Das, U. (2025). “Is Virginity a Matter of Dignity or a Lack of Opportunity? Exploring the Paradoxical Relationship Between Premarital Sex and Education Among Youth in India” in Sexuality & Culture.

Das, U., & Kar, N. (2025). “Understanding economic disparities in elderly health outcomes: a decomposition analysis in Bankura district” in BMC Public Health.

Das, U., Kar, N., Riba, T., & Rout, N.R. (2025). “Prevalence of diabetes and disability among older adults in West Bengal and India: A comparative analysis” in Diabetes & Metabolic Syndrome: Clinical Research & Reviews.

Viken Kortian | Big Data Analytics | Best Researcher Award

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Assoc. Prof. Dr. Viken Kortian | Big Data Analytics | Best Researcher Award

Macquarie University | Australia

Assoc. Prof. Dr. Viken Kortian is an accomplished academic and researcher specializing in operations management, innovation, and entrepreneurship, with extensive expertise in business process management, strategy, and big data analytics. He holds a PhD in Management from Macquarie Graduate School of Management, where his doctoral research focused on organizational agility and firm performance in Australian SMEs. His academic foundation also includes a Master of Arts, an MBA, and a Bachelor of Chemical Engineering with honors. Dr. Kortian has built a distinguished career in higher education, currently serving as Associate Professor at Macquarie University’s School of Engineering, where he played a pivotal role in designing and leading the Master of Engineering Management program, one of the university’s largest postgraduate offerings. He has also contributed to Kaplan Business School, Macquarie Graduate School of Management, and the Australian Graduate School of Management through innovative course development in data analytics, quality management, and business excellence. His research interests span business excellence, operations management, artificial intelligence, and machine learning, with several conference presentations, publications, and a US patent to his credit. Recognized with multiple Vice Chancellor’s Awards for Teaching Excellence and other honors, Dr. Kortian is a dedicated educator, researcher, and thought leader shaping engineering management education in Australia.

Profile : Orcid 

Featured Publication

“Challenges and Issues in Implementing & Operationalising Big Data Analytics Capabilities in a major Australian Railway Organisation: A Case Study”