Faheem Jan | Data Science and Analytics | Innovative Research Award

Innovative Research Award

Faheem Jan
AffiliationBacha Khan University, Charsadda Pakistan
CountryPakistan
Scopus ID57706366800
Documents6
Citations132
h-index4
Subject AreaData Science and Analytics
EventInternational Research Awards

Faheem Jan, affiliated with Bacha Khan University, Charsadda Pakistan, is recognized within the academic community for scholarly contributions in the field of Data Science and Analytics. His research portfolio demonstrates engagement with contemporary analytical methodologies, data-driven decision-making frameworks, and computational research approaches. Based on available bibliometric indicators, including citation impact and scholarly output, his academic profile represents a notable contribution to ongoing developments in data science research.[1]

Abstract

This article presents an academic overview of Faheem Jan and evaluates his scholarly profile in relation to the Innovative Research Award. The assessment is based on publicly available bibliometric indicators, research productivity, citation performance, and engagement within the field of Data Science and Analytics. The profile demonstrates sustained scholarly activity and measurable research influence through published work and citation recognition.[1]

Keywords

Data Science, Analytics, Machine Learning, Computational Research, Citation Impact, Scholarly Publications, Academic Recognition, Research Excellence, Knowledge Discovery, Innovative Research.

Introduction

The growing importance of data-driven methodologies has increased the significance of researchers working in analytics, artificial intelligence, and computational sciences. Scholars contributing to these areas play a critical role in advancing knowledge, developing analytical tools, and improving decision-making processes across sectors. Faheem Jan’s academic activities align with these broader objectives through research engagement in Data Science and Analytics.[1]

Research Profile

Faheem Jan is affiliated with Bacha Khan University, Charsadda, Pakistan. His scholarly profile, indexed through Scopus Author ID 57706366800, indicates participation in peer-reviewed research activities and contributions to the scientific literature. Bibliometric indicators report six indexed documents, 132 citations, and an h-index of four, reflecting measurable visibility within the academic community.[1]

Research Contributions

Research contributions within Data Science and Analytics often encompass statistical modeling, predictive analytics, machine learning applications, data visualization, and computational intelligence. Through scholarly publications and citation activity, Faheem Jan has contributed to the dissemination of knowledge in analytical and computational research domains. Such contributions support evidence-based decision-making and technological innovation across multiple disciplines.[2]

Publications

The publication record indexed within Scopus indicates a focused body of research output. Publication activity, combined with citation performance, provides evidence of scholarly engagement and research dissemination. Indexed documents contribute to the visibility and accessibility of research findings within the broader scientific community.[1]

Research Impact

Research impact is commonly assessed through citation indicators, publication quality, visibility, and influence on subsequent scholarly work. With 132 citations and an h-index of four, Faheem Jan’s research demonstrates measurable engagement by the academic community. Citation metrics suggest that published studies have been referenced and utilized within related areas of scientific inquiry.[1]

Award Suitability

The Innovative Research Award recognizes researchers who demonstrate originality, scholarly productivity, and meaningful contributions to their academic fields. Based on available bibliometric indicators, research activity, publication record, and citation impact, Faheem Jan exhibits characteristics that align with the objectives of this recognition. His work in Data Science and Analytics contributes to the advancement of analytical methodologies and supports continued academic development within the discipline.[1][3]

Conclusion

Faheem Jan’s scholarly profile reflects sustained participation in research and publication activities within Data Science and Analytics. Citation performance, indexed publications, and institutional affiliation collectively demonstrate an active academic presence. These attributes support consideration for recognition under the Innovative Research Award category and illustrate the importance of ongoing contributions to analytical and computational research.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Faheem Jan, Author ID 57706366800. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57706366800
  2. Association for Computing Machinery. (2023). Advances in Data Science and Analytics Research.DOI:
    https://link.springer.com/article/10.1007/s11227-025-08197-4
  3. International Research Awards. (n.d.). Innovative Research Award Evaluation Criteria.https://researchawards.net/

Dr. KALPANA Singh | Data Science and Analytics | Best Researcher Award

Dr. KALPANA Singh | Data Science and Analytics | Best Researcher Award

Dr. KALPANA Singh, Hamad Medical Corporation, Qatar

Dr. Kalpana Singh is a seasoned biostatistician with a PhD in Statistics from Amity University, specializing in survival analysis for cardiovascular disease. With over 16 years in public and clinical health research, she excels in both quantitative and qualitative research designs. Currently a Senior Epidemiologist at Hamad Medical Corporation in Qatar, she leads statistical analyses and mentors researchers. She holds lifetime membership in the Indian Society of Medical Statistics and has received numerous awards and grants. Proficient in R, STATA, and various statistical tools, Dr. Singh is dedicated to advancing health research. 🧬📊🌍

Publication Profile

Education

Dr. KALPANA Singh earned a Ph.D. in Statistics from Amity University, Noida, India (2014-2018), specializing in the application of survival analysis on cardiovascular disease. 📊❤️ They completed a Post Graduate Diploma in Biostatistics & Data Management from the Indian Institute of Public Health, Hyderabad, in 2008-2009. 🎓📈 Dr. [Name] also holds an M.Sc. in Statistics from Dr. B.R. Ambedkar University, Agra (2005-2007), and a B.Sc. in Physics, Chemistry, and Mathematics from the same university (2002-2005). 🔬📚 Their academic journey reflects a strong foundation in statistics and a keen interest in public health and data management. 💡🌟

Experience

With over 16 years of experience in public and clinical health research, I excel in quantitative and qualitative research designs. My skills include excellent management and coordination, and I am efficient in independently managing the analytical aspects of projects. My expertise covers Randomized Control Trials, complex quasi-experimental designs, mixed-method research, and advanced analyses such as survival analysis, longitudinal analysis, and multi-level modeling. I actively participate in new grant proposals and co-author peer-reviewed publications, aligning with the research project’s aims. 🌐📊🧪📈📉📚💡📑

Awards

🩺💡 Awarded the Fellowship for PGDBM by the Public Health Foundation of India in August 2009. 🏅 Completed a Master’s in Data Science from Emory University & CCDC in May 2022. 📊 As Principal Investigator, leading a Nurse-led medication self-management intervention study to improve medication adherence in adults with multimorbidity, funded by HMC MRC Qatar. 🤝 Co-Investigator for a Digital Health-enabled intervention in India funded by MRC/Wellcome Trust. 📚 Serving as co-PI on 15 ongoing studies at HMC, mentoring 3 Ph.D. students and 5 Master’s students. 🎓

Research focus

K Singh’s research focuses on public health, specifically targeting cardiovascular health, hypertension, multimorbidity, and chronic diseases in South Asian populations. Key areas include the prevalence and risk factors of hypertension and obesity, the effectiveness of yoga-based cardiac rehabilitation, and the impact of vegetarian diets on cardiometabolic risks. Singh’s studies often compare health outcomes between urban and rural regions, as well as between South Asian and US populations, to identify trends and inform health interventions. Additionally, Singh investigates the prevalence of depression in diabetic patients and chronic kidney disease progression.

Publication Top Notes

Multimorbidity in South Asian adults: prevalence, risk factors and mortality

Changes in hypertension prevalence, awareness, treatment and control rates over 20 years in National Capital Region of India: results from a repeat cross-sectional study

Yoga-based cardiac rehabilitation after acute myocardial infarction: a randomized trial

Vegetarianism and cardiometabolic disease risk factors: differences between South Asian and US adults

20-Year trend of CVD risk factors: urban and rural national capital region of India

Prevalence of sustained hypertension and obesity among urban and rural adolescents: a school-based, cross-sectional study in North India

Prevalence of depression in patients with type 2 diabetes attending an outpatient clinic in India

Effectiveness and cost-effectiveness of a Yoga-based Cardiac Rehabilitation (Yoga-CaRe) program following acute myocardial infarction: Study rationale and design of a multi …

Prevalence of chronic kidney disease and risk factors for its progression: a cross-sectional comparison of Indians living in Indian versus US cities

Determinants of birth intervals in Tamil Nadu in India: developing Cox hazard models with validations and predictions