Ali-Asghar Kolahi | Data Mining | Innovative Research Award

Innovative Research Award

Ali-Asghar Kolahi
Shahid Beheshti University of Medical Sciences

Ali-Asghar Kolahi
Affiliation Shahid Beheshti University of Medical Sciences
Country Iran
Scopus ID 24331775400
Documents 228
Citations 40,672
h-index 63
Subject Area Data Mining
Event Research Data Analysis Awards
ORCID 0000-0003-0178-3732

Ali-Asghar Kolahi recognizes researchers whose scholarly activities demonstrate sustained academic excellence, interdisciplinary collaboration, and measurable scientific influence. Ali-Asghar Kolahi has established a substantial publication record supported by extensive citations, reflecting consistent engagement in evidence-based research and international collaboration. His work contributes to analytical methodologies and knowledge dissemination relevant to health sciences and data-driven investigation.[1]

Abstract

Ali-Asghar Kolahi has developed an internationally recognized research portfolio characterized by high scholarly visibility, consistent publication productivity, and extensive citation performance. His academic activities emphasize evidence-based methodologies, interdisciplinary collaboration, and analytical approaches that support scientific decision-making. These achievements demonstrate sustained research quality and significant contributions to modern scientific literature.[2]

Keywords

Data Mining, Research Analytics, Medical Research, Bibliometrics, Scientific Impact, Innovation, Evidence-Based Research, Academic Excellence.

Introduction

Modern research evaluation considers publication quality, citation influence, collaboration, and reproducibility. Ali-Asghar Kolahi’s academic record reflects these characteristics through a balanced combination of impactful publications, international visibility, and long-term scientific engagement that supports advancements in data-informed healthcare research.[3]

Research Profile

With 228 indexed publications, over 40,000 citations, and an h-index of 63, the researcher demonstrates sustained academic productivity and broad scholarly recognition. His publication metrics indicate long-term influence across multiple research communities while maintaining international research visibility.[1]

Research Contributions

His research integrates quantitative evidence with clinical and analytical methodologies, enabling reliable interpretation of complex scientific datasets and supporting informed healthcare decisions through validated research frameworks.The published studies emphasize interdisciplinary collaboration, promoting knowledge exchange among medical researchers, statisticians, and public health professionals while strengthening methodological consistency across research projects.

Publications

The publication portfolio includes peer-reviewed journal articles addressing epidemiology, health research methodology, statistical analysis, and interdisciplinary medical science. Continuous publication activity demonstrates a sustained commitment to generating high-quality scientific evidence supported by recognized academic databases.[5]

Research Impact

Extensive citation performance indicates broad international utilization of the research findings. The combination of strong citation metrics, collaborative publications, and a high h-index reflects sustained scholarly influence and continued relevance within evidence-based scientific research.[1]

Award Suitability

Based on documented publication performance, citation impact, and measurable scholarly productivity, Ali-Asghar Kolahi demonstrates attributes consistent with recognition through the Innovative Research Award. The academic record reflects sustained excellence, international visibility, and continued contribution to scientific advancement.[2]

Conclusion

Ali-Asghar Kolahi’s scholarly profile illustrates a mature research career supported by influential publications, extensive citations, and interdisciplinary collaboration. These measurable achievements position the researcher as a noteworthy candidate for academic recognition while highlighting continued contributions to scientific knowledge and research excellence.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Ali-Asghar Kolahi, Author ID 24331775400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=24331775400
  2. ORCID. (n.d.). Ali-Asghar Kolahi Research Profile.
    https://orcid.org/0000-0003-0178-3732
  3. Gholami, N., Skulberg, A. K., Farnaghi, F., Zamani, N., Kolahi, A.-A., McDonald, R., & Hassanian-Moghaddam, H. (2026, September). A pilot randomized feasibility clinical trial of intranasal vs. intravenous naloxone in pediatric opioid poisoning.
  4. Safiri, S., Aletaha, R., Amiri, F., Sullman, M. J. M., Rahmanian, M., Singh, K., & Kolahi, A.-A. (2026, July). The global burden of rheumatic heart disease: 1990–2021. Clinical Medicine.
    https://pubmed.ncbi.nlm.nih.gov/41780208/
  5. Safiri, S., Ghaffari Jolfayi, A., Amiri, F., Sullman, M. J. M., Singh, K., Mansournia, M. A., & Kolahi, A.-A. (2025, November 3). Global burden of atrial fibrillation and its attributable risk factors (1990–2021).
    https://pubmed.ncbi.nlm.nih.gov/38984719/

Pearl Asieduwaa Osei | Machine Learning and AI Applications | Research Excellence Award

Ms. Pearl Asieduwaa Osei | Machine Learning and AI Applications | Research Excellence Award

University of Mines and Technology | Ghana

Pearl Asieduwaa Osei is a Ph.D. candidate in Mathematical Sciences at the University of Mines and Technology (UMaT), Tarkwa, Ghana. She holds a BSc in Pure Mathematics from the University for Development Studies, an MSc from the African Institute of Mathematical Sciences (AIMS-Ghana), and an MPhil in Applied Mathematics from Kwame Nkrumah University of Science and Technology. Her research focuses on data mining and the application of artificial intelligence in mineral processing. She has contributed to predictive modeling in gold cyanide leaching, developing optimized machine learning frameworks that enhance process efficiency, accuracy, and resource utilization in Ghana’s mining sector.

Citation Metrics (GoogleScholar)

200
100
10
5
0

Citations
4

Documents
3

h-index
1

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Featured Publications

Prof. Dr. Xiaoxiao Cheng | Innovation In Data Analysis | Research Excellence Award

Prof. Dr. Xiaoxiao Cheng | Innovation In Data Analysis | Research Excellence Award

Soochow University | China

Dr. Xiaoxiao Cheng is a Professor at Soochow University specializing in polymer synthesis, living polymerization, and chiral assembly. He earned his Ph.D. in Materials Science from Soochow University, with international research experience at Hokkaido University and Nagoya University in Japan. Following postdoctoral research, he served as Assistant Professor and Principal Investigator at the Nano Life Science Institute, Kanazawa University. Dr. Cheng has published nearly 60 high-impact papers, many in leading journals, and holds multiple patents in advanced polymer materials. A recipient of several prestigious awards and research grants, he is actively involved in editorial roles and international scientific collaborations.

Citation Metrics (Scopus)

3000
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1,351

Documents
58

h-index
22

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Featured Publications

Nasser Ahmed | Machine Learning Applications | Worldwide Excellence in Research Analytics Advancement Award

National Research Institute of Astronomy and Geophysics | Egypt

Assist. Prof. Dr. Nasser Ahmed | Machine Learning Applications | Worldwide Excellence in Research Analytics Advancement Award

National Research Institute of Astronomy and Geophysics | Egypt

Assoc. Prof. Dr. Nasser Mohamed Ahmed is an accomplished astrophysicist at the National Research Institute of Astronomy and Geophysics (NRIAG), Egypt, with extensive expertise in computational astrophysics and X-ray astronomy. He earned his Ph.D. from the University of Groningen, focusing on simulations of cooling flows in galaxy clusters using advanced hydrodynamic modeling. His research spans plasma dynamics, galaxy formation, and data analysis using modern tools such as Python, FLASH, and X-ray observatories. Dr. Ahmed has contributed to numerous international projects, established computational facilities, and published widely in reputable journals, demonstrating significant impact in both theoretical and observational astronomy.

Citation Metrics (Scopus)

50
35
30
15
0

Citations
47

Documents
16

h-index
4

Citations

Documents

h-index


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Featured Publications

Sun Vertical Depressions and Their Effects on the Morning Twilight Phases in Egypt
– Springer Proceedings in Physics, 2025

Amjad Abu ELSamen | marketing | Best Scholar Award

Prof. Amjad Abu ELSamen | marketing | Best Scholar Award

Zayed University | United Arab Emirates

Publication Profile

Scopus
Google Scholar

INTRODUCTION 📚

Amjad Abu-Elsamen, PhD, is a distinguished academic and professional in the fields of marketing, predictive modeling, and data mining, based in Abu Dhabi, UAE. With a career that spans over two decades, Dr. Abu-Elsamen has made significant contributions to academia and consultancy, blending his expertise in business strategy, data analytics, and marketing. His passion for continuous learning and his unwavering dedication to professional growth have earned him recognition and numerous accolades in both his academic and practical endeavors.

EARLY ACADEMIC PURSUITS 🎓

Dr. Abu-Elsamen’s academic journey began with his undergraduate studies in Business Administration at the University of Jordan, where he earned his Bachelor’s degree in 2000. He went on to pursue his Master of Business Administration (MBA) at the University of Jordan, completing it in 2003. Following this, he advanced his studies by earning a PhD in Business Administration from Oklahoma State University in 2009. During his academic pursuits, he developed a keen interest in predictive modeling, data mining, and their applications in marketing strategies.

PROFESSIONAL ENDEAVORS 💼

Dr. Abu-Elsamen’s professional career reflects his commitment to education, research, and industry consultancy. He has served as a Professor of Marketing at Zayed University since 2019, with prior roles such as the Associate Professor of Marketing and Graduate Programs Director. His extensive experience as a department chair in various academic institutions, including Zayed University and the University of Jordan, highlights his leadership skills and dedication to curriculum development and accreditation. Dr. Abu-Elsamen’s industry work is equally impressive, with significant consultancy contributions for major corporations in the UAE and Jordan, including Etihad Airways, Marina Mall, and Al-Ain Distribution Company.

CONTRIBUTIONS AND RESEARCH FOCUS  ON MARKETING🔬

Dr. Abu-Elsamen’s research interests lie primarily in marketing strategy, data mining, and predictive modeling. He has published numerous studies on topics such as customer satisfaction measurement, brand management, and the use of advanced analytics in decision-making processes. His research contributions also extend to the design of business programs and the development of new marketing techniques that combine traditional strategies with innovative data-driven insights. Additionally, he has provided key guidance on curriculum redesign and development, particularly in graduate programs, ensuring that they remain aligned with global standards and market needs.

IMPACT AND INFLUENCE 🌍

Dr. Abu-Elsamen’s influence extends beyond his teaching and research contributions. He has been instrumental in shaping the business education landscape in the UAE and Jordan, particularly in the areas of business analytics and marketing strategy. His leadership in developing the Business Analytics Certification Program, the first of its kind in the Middle East, showcases his dedication to advancing education in this critical field. Furthermore, his active participation in committees and task forces within his institutions, including the revision of faculty promotion guidelines and mentorship programs, highlights his commitment to enhancing academic standards and faculty development.

ACADEMIC CITATIONS AND PUBLICATIONS 📝

Dr. Abu-Elsamen has contributed widely to academic journals, conferences, and industry reports. His work has been recognized internationally, with notable citations in the areas of marketing research, customer satisfaction, and data mining techniques. Some of his well-known publications include studies on structural equation modeling, segmentation analysis, and the use of conjoint analysis in new product development. His published research continues to shape contemporary marketing and data analytics practices.

HONORS & AWARDS 🏅

Dr. Abu-Elsamen’s exceptional academic and professional achievements have earned him several prestigious honors, including:

  • Best Paper Award, ACME Conference (2011)
  • Second Best Model Building Award, Data Mining Shootout (2008)
  • Recognition for his leadership in business analytics and marketing strategy across multiple universities and consultancy projects.

FINAL NOTE ✨

Dr. Amjad Abu-Elsamen’s career is a testament to the power of perseverance, innovation, and academic excellence. Through his dedication to both teaching and consultancy, he has made significant strides in reshaping business education, particularly in the realms of marketing, data mining, and analytics. His passion for knowledge and growth continues to inspire both students and professionals in the Middle East and beyond.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Looking to the future, Dr. Abu-Elsamen aims to further elevate business education and consultancy in the UAE and globally. He plans to continue his research into advanced data mining techniques and their applications in marketing strategy, with a particular focus on predictive analytics and artificial intelligence. His ongoing work promises to impact future generations of students and professionals, continuing to drive innovation and excellence in the field.

TOP NOTES PUBLICATIONS 📚

Modelling the impact of 3D product presentation on online behaviour
    • Authors: RS Algharabat, AA Abu-ElSamen
    • Journal: International Journal of Electronic Marketing and Retailing
    • Year: 2013
      🖥️📦👀📊
Examining the Construct Validity of the Lockwood Goal Orientation Scale Using the General Hierarchal Model: An Exploratory Study
    • Author: A Abu ELSamen
    • Journal: Academy of Marketing Science Annual Conference
    • Year: 2010
      🎯📚📊
An empirical model of mobile shopping attitudes and intentions in an emerging market
    • Authors: MN Akroush, B Mahadin, AA ElSamen, A Shoter
    • Journal: International Journal of Web Based Communities
    • Year: 2020
      📱🛒🌍💭
An empirical model of customer service quality and customer loyalty in an international electronics company
    • Authors: AA Abu-ELSamen, MN Akroush, AL Al-Sayed, HJ Hasan
    • Journal: International Journal of Electronic Business
    • Year: 2012
      💼💡🤝📊
Conceptualisation and development of customer service skills scale: an investigation of Jordanian customers
    • Authors: MN Akroush, AA Abu-ElSamen, MS Al-Shibly, FM Al-Khawaldeh
    • Journal: International Journal of Mobile Communications
    • Year: 2010
      📱💬💡🌍
Fintech and contactless payment: help or hindrance? The role of invasion of privacy and information disclosure
    • Authors: AA Alalwan, AM Baabdullah, MM Al-Debei, R Raman, HK Alhitmi, …
    • Journal: International Journal of Bank Marketing
    • Year: 2024
      💳🔒💡🔍

Konstantinos Nikolaou | Data Mining | Best Researcher Award

Mr. Konstantinos Nikolaou | Data Mining | Best Researcher Award

Mr. Konstantinos Nikolaou at Athens University of Economics and Business, Greece

👤 Profiles

Scopus Profile
Orcid Profile

🌟 Academic Background

I am a Greek finance enthusiast with a Master’s degree in Finance and Banking from Athens University of Economics and Business and a Bachelor’s degree in Physics from the University of Crete. My academic background includes a strong focus on data science applications in finance and quantum computing. I am currently serving in the Greek Special Forces as part of my mandatory military service.

📚 Education

I hold a Master of Science (MSc) in Finance and Banking from Athens University of Economics and Business (10/2022 – 02/2024), where I focused on ensemble forecasting of financial data with deep and statistical learning. My undergraduate degree is a Bachelor of Science in Physics from the University of Crete (09/2018 – 09/2022), with a thesis on data mining chart patterns in financial assets. Additionally, I have a Basic Life Support certification from the European Resuscitation Council (04/2022 – 04/2024).

💼 Professional Experience

I worked as a Waiter at Loukakos Brothers & Varthalamis SA in Athens from 11/2022 to 10/2023, gaining valuable experience in the hospitality industry. Currently, I am serving in the Greek Army as a Reserve Infantry Soldier in the Greek Special Forces, where I started my service in January 2024.

🔬 Research Interests

My research interests are deeply rooted in the intersection of finance, data science, and quantum computing. I have explored data mining techniques for financial chart patterns and developed ensemble forecasting models using advanced deep learning and statistical methods.

📖 Publication

CPC-SAX: Data mining of financial chart patterns with symbolic aggregate approXimation and instance-based multilabel classification
  • Authors: K. Nikolaou
  • Journal: Journal of Finance and Data Science
  • Year: 2024