Feng Tian | Big Data Analytics | Best Researcher Award

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Prof Dr. Feng Tian | Big Data Analytics | Best Researcher Award

Hebei University of Engineering, China

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

Prof. Dr. Feng Tian is a distinguished academic leader and researcher in the field of medical data science and bioinformatics. Currently, he serves as the Dean of the School of Medicine and the Director of the Hebei Key Laboratory of Medical Data Science at Hebei University of Engineering. His work is focused on integrating artificial intelligence with health big data, contributing significantly to the fields of bioinformatics and public health policy.

EARLY ACADEMIC PURSUITS 🎓

Dr. Tian’s academic journey began with a Bachelor’s degree in Biology from Tsinghua University, one of China’s most prestigious institutions. He pursued his Ph.D. in Bioinformatics at Tsinghua University from 2004 to 2009, where his research laid the foundation for his later contributions to the study of molecular biology and bioinformatics. His education provided him with a deep understanding of biological data analysis, which he later applied to medical research.

PROFESSIONAL ENDEAVORS 💼

Dr. Tian’s professional trajectory includes several key academic appointments. He has been a Professor at the School of Medicine, Hebei University of Engineering, since 2021. Prior to this, he gained valuable international experience as a Visiting Scholar at the National Center for Data Mining at the University of Illinois at Chicago (UIC) in 2007-2008. His career has been marked by a commitment to bridging the gap between artificial intelligence and healthcare.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Tian’s research interests are multifaceted, focusing on the development and application of AI in health big data, bioinformatics, and public health policy. His research has greatly advanced the understanding of molecular subtyping and the minimal residual disease (MRD) mechanisms in acute lymphoblastic leukemia (ALL). By integrating multi-omics data and utilizing cutting-edge technologies, Dr. Tian has made groundbreaking contributions to the medical field, particularly in the context of cancer research and personalized medicine.

IMPACT AND INFLUENCE 🌍

Dr. Tian’s work has had a profound impact on both the scientific community and public health sectors. His AI-driven innovations in medical data analysis are paving the way for more accurate and personalized healthcare. The algorithms and platforms he has developed have not only enhanced tumor diagnosis and drug screening but also contributed to improving public health practices in China. His leadership in the field of medical data science has helped establish Hebei University of Engineering as a leading institution in AI-driven health research.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Tian has authored numerous publications in prestigious journals, with his work frequently cited by peers in the bioinformatics and medical research communities. His contributions include groundbreaking studies such as the development of a data processing system for miRNA expression profiling, as well as research into the regulatory impacts of transcription factors across species. More recently, his work has explored deep learning models for prehospital emergency classification and the molecular mechanisms of leukemia. Notable publications include:

  1. Tian F, Zhang H, Zhang X, et al. “miRAS: A Data Processing System for miRNA Expression Profiling Study.” BMC Bioinformatics, 2007.

  2. Tian F, Wu Y, Zhou Y, et al. “A New Single Nucleotide Polymorphism Genotyping Method.” Clin Chem Lab Med, 2008.

  3. Tian F, Xu W, Tian F, et al. “ETV6::ACSL6 Translocation-Driven Super-Enhancer Activation.” Haematologica, 2024.

His academic contributions continue to shape ongoing research in medical data science.

HONORS & AWARDS 🏅

Dr. Tian has been the recipient of several prestigious awards, recognizing his contributions to medical research and technology. Notable honors include:

  • First Prize, Hebei Provincial Science and Technology Progress Award, for his research on multi-omics AI algorithms in tumor diagnosis and anti-tumor drug screening (September 2024).

  • Second Prize, 2024 Invention and Entrepreneurship Achievement Award, China Association of Inventions, for his work in AI models in public health (July 2024).

  • First Prize, Hebei Medical Science and Technology Award, for his research on reducing residual risk after nucleic acid testing (May 2021).

These accolades reflect his leadership and innovation in the fields of health big data, bioinformatics, and AI applications in healthcare.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Tian’s legacy in the academic and medical fields is poised for significant growth. His ongoing research aims to further revolutionize the application of artificial intelligence in health data analysis, with an emphasis on cancer research and public health policy. His innovative work continues to shape the future of personalized medicine and healthcare, and he is dedicated to advancing his research in the coming years to further improve public health outcomes globally.

FINAL NOTE ✨

Prof. Dr. Feng Tian stands at the forefront of the intersection between artificial intelligence and healthcare. His pioneering research, leadership, and commitment to applying AI in medical data science have established him as a key figure in his field. With numerous accolades, publications, and ongoing contributions to healthcare and bioinformatics, Dr. Tian’s work continues to inspire the next generation of researchers and healthcare professionals. His legacy will undoubtedly shape the future of medical data science for years to come.

TOP NOTES PUBLICATIONS 📚

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks

    • Authors: Not listed in your excerpt, but attributed to the Flynet project

    • Journal: Bioinformatics

    • Year: 2009

DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification

    • Authors: X. Zhang, H. Zhang, L. Sheng, F. Tian*

    • Journal: IEEE Access

    • Year: 2022

ETV6::ACSL6 translocation-driven super-enhancer activation leads to eosinophilia in acute lymphoblastic leukemia through IL-3 overexpression

    • Authors: Xu W*, Tian F*, Tai X, Song G, Liu Y, Fan L, Weng X, Yang E, Wang M, Bornhäuser M, Zhang C, Lock RB, Wong JWH, Wang J, Jing D, Mi JQ

    • Journal: Haematologica

    • Year: 2024

 PU.1 eviction at lymphocyte-specific chromatin domains mediates glucocorticoid response in acute lymphoblastic leukemia

    • Authors: Dominik Beck#,, Honghui Cao#, Feng Tian#, Yizhou Huang#, Miao Jiang, Han Zhao, Xiaolu Tai, Wenqian Xu, Hansen J Kosasih, David J Kealy, Weiye Zhao, Samuel J Taylor, Gaoxian Song, Diego Chacon-Fajardo, Yashna Walia, Meng Wang, Adam A Dowle, Andrew N Holding, Katherine S Bridge, Chao Zhang, Jin Wang, Jian-Qing Mi, Richard B Lock, Charles E. de Bock*, Duohui Jing*

    • Journal: Nature Communications

    • Year: 2024

 Single-Cell Atlas Reveals Tumorigenic Profiles and Immune Dynamics of Adrenal Incidentalomas

    • Authors: Meng Wang#, Guangmin Zheng#, Xiaoyong Hu#, Feng Tian#, Tuo Li, Zheng Zhang, Kai Gong, Shiwei Chen, Lin Yuan, Yu Qi, Lin Li, Daofu Cheng, Liu Liu, Fuqiang Liu, Yujing Sun, Xiangdong Fang, Ruxing Zhao*, Bing Liu*, Chao Zhang*

    • Journal: Advanced Science

    • Year: 2025

Spatial analysis of prehospital emergency medical services accessibility: a comparative evaluation of the GAUSS-probability two-step floating catchment area model in Handan City

    • Authors: Tian F, Lu S, Yang Z, Zhao T, Li P, Zhang H

    • Journal: Frontiers in Public Health

    • Year: 2025

Zaiyang Xie | text analysis | Young Researcher Award

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Assoc Prof Dr. Zaiyang Xie | text analysis | Young Researcher Award

Zhejiang University of Technology | China

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Scopus

INTRODUCTION 🌟

XIE ZAIYANG is an Associate Professor at the School of Management, Zhejiang University of Technology. She holds a Doctorate in Management and has a strong academic background with degrees from Nankai University and Jinan University. Her academic pursuits have earned her recognition in the field, including being a recipient of various prestigious awards. She is also a graduate student supervisor and actively contributes to the academic community with her extensive research in corporate strategy, internationalization, and digital innovation management.

EARLY ACADEMIC PURSUITS 🎓

XIE ZAIYANG completed her Doctorate in Management from Nankai University in December 2020, after which she also pursued postdoctoral studies. Her Ph.D. research was conducted in collaboration with Jinan University (a national public scholarship). She began her academic career at Zhejiang University of Technology in December 2020, where she serves as a faculty member in the Department of Business Administration and as the class advisor for the 2102 Business Administration class.

PROFESSIONAL ENDEAVORS 💼

Currently, XIE ZAIYANG is an Associate Professor in the Department of Business Administration, where she teaches, researches, and leads several significant academic projects. She is a member of the Academy of Management (AOM), the Academy of International Business (AIB), and the International Association for Chinese Management Research (IACMR). XIE ZAIYANG has also contributed as a reviewer for numerous academic journals, ensuring the quality of publications in her field.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Her main research focuses include corporate strategy, internationalization, digital innovation management, and the governance of multinational corporations. She has secured several national and provincial-level research grants, leading projects on globalization, de-globalization, and corporate innovation, among others. XIE ZAIYANG’s studies have had a considerable influence on how businesses understand strategic decision-making and innovation in an increasingly interconnected and rapidly changing global environment.

IMPACT AND INFLUENCE 🌐

XIE ZAIYANG has published more than 30 papers in renowned journals such as the Journal of World Business, Technological Forecasting and Social Change, and Journal of Business Research. Her research has made a significant impact in the academic community, receiving numerous citations and awards. Notably, her work on the dynamics of multinational enterprises and innovation strategies has contributed to the advancement of corporate governance theory and practice.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

XIE ZAIYANG’s academic work has been widely cited and published in both international and Chinese journals. Some of her notable works include:

  • Returnee managers as an asset for emerging market multinational enterprises (Journal of World Business, 2022)

  • Big data and emerging market firms’ innovation in an open economy (Technological Forecasting and Social Change, 2021)

  • US-China Decoupling and the Chinese Firms’ Real Option to Defer R&D Investment (Journal of World Business, 2025)

In addition to her journal articles, she has authored several books and monographs on corporate governance and international business strategy.

HONORS & AWARDS 🏆

XIE ZAIYANG has been recognized with several prestigious awards, including the “National Top 100 Cases” award and the Zhejiang Provincial Outstanding Research Case award. She has also received numerous accolades for her teaching and research efforts, such as national and provincial-level research grants and awards for excellence in case studies. Her research has been selected for inclusion in the “China Management Case Sharing Center (CMCC)” and other important academic repositories.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

XIE ZAIYANG’s contributions to the academic field have laid the groundwork for future research on multinational enterprises, innovation strategies, and the evolution of corporate governance in China and beyond. Her ongoing work continues to influence the development of strategic management theories, particularly in the context of globalization and digital transformation. As a mentor and researcher, she aims to continue advancing knowledge in the intersection of global business strategy and innovation management.

FINAL NOTE 📅

XIE ZAIYANG is a dedicated scholar and educator who has made significant contributions to the field of management studies. Her work on strategic management, innovation, and corporate governance provides valuable insights for both scholars and practitioners. As she continues to lead impactful research, her legacy will shape the future of international business strategy and management.

TOP NOTES PUBLICATIONS 📚 

Returnee managers as an asset for emerging market multinational enterprises: Chinese cross-border acquisitions (2008–2017)

    • Authors: Xie Z.Y., Wang L.

    • Journal: Journal of World Business

    • Year: 2022

Big data and emerging market firms’ innovation in an open economy: The diversification strategy perspective

    • Authors: Xie Z.Y., Wang J., Miao L.

    • Journal: Technological Forecasting and Social Change

    • Year: 2021

Relationships between fluctuations of environmental regulation, technological innovation, and economic growth: A multinational perspective

    • Authors: Xie Z.Y., Qu L., Lin R.H., et al.

    • Journal: Journal of Enterprise Information Management

    • Year: 2021

US-China Decoupling and the Chinese Firms’ Real Option to Defer Overall but R&D Investment

    • Authors: Shao L., Xie Z.Y.*, Qiu Y.X., Wang L.

    • Journal: Journal of World Business

    • Year: 2025

The Rise of Female Board Representation in China as a Glocalization Process (2010-2018)

    • Authors: Wang L., Xie Z.Y.*, Majid Abdi, et al.

    • Journal: Journal of Business Research

    • Year: 2024

Mays S. Tareq | Laser-Tissue interaction | Best Researcher Award

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Dr. Mays S. Tareq | Laser-Tissue interaction | Best Researcher Award

University of Technology | Iraq

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👨‍🎓 INTRODUCTION

Dr. Mays Sameer Tareq is an accomplished academic and researcher in the field of Laser and Optoelectronics Engineering. Born on October 18, 1987, in Baghdad, Iraq, Dr. Tareq has dedicated his career to advancing laser technologies and their applications in biomedical engineering. With a strong academic foundation and a focus on cutting-edge research, his contributions have greatly influenced his field, particularly in laser-induced breakdown spectroscopy (LIBS) and its applications in dental science.

🎓 EARLY ACADEMIC PURSUITS

Dr. Tareq’s academic journey began with a Bachelor’s degree in Laser and Optoelectronics Engineering from the University of Technology in 2009. His thirst for knowledge led him to pursue a Master’s degree in the same field, completed in 2015, where he explored the fabrication of photodetectors using pulsed laser deposition. He continued his academic excellence with a PhD from Al-Nahrain University in 2025, where his dissertation focused on a novel approach for analyzing nanomaterials in human teeth using LIBS technology.

💼 PROFESSIONAL ENDEAVORS

Since 2016, Dr. Tareq has been teaching in the Department of Biomedical Engineering, where he imparts knowledge on laser technology, biomaterials, and bioacoustics. His role as an educator has included developing specialized lectures, practical experiments, and supervising student projects. Dr. Tareq has also participated in numerous conferences, showcasing his expertise in laser applications and advancing educational methodologies within his field.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS


Dr. Tareq’s research is primarily focused on laser technologies and their biomedical applications. His work has significantly contributed to the development of photodetectors and the analysis of dental materials using LIBS. Through innovative studies, he has explored the influence of lasers on dental enamel, the migration of heavy metals from dental fillings, and the use of nanoparticles in enhancing laser-induced breakdown spectroscopy for more accurate material analysis.

🌍 IMPACT AND INFLUENCE

Dr. Tareq’s research has had a profound impact on dental science and materials engineering. His work on laser interactions with dental materials has led to advancements in both laser technology and biomedical diagnostics. By developing novel techniques to analyze the properties of dental samples, Dr. Tareq’s research is helping to improve the safety and effectiveness of dental treatments. His work has also influenced other industries, contributing to the broader scientific community.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Tareq’s research has been widely recognized and published in renowned journals, including Journal of Optics, Lasers in Medical Science, and Journal of Materials Science: Materials in Electronics. Some of his key publications include:

  • “Preparation and characteristics study of CuAlO2/Si heterojunction photodetector by pulsed laser deposition” (2017).

  • “In vitro studies the influence of Nd:YAG laser on dental enamels” (2024).

  • “Nanoparticle Enhanced Laser Induced Breakdown Spectroscopy (NELIBS) Analysis of Human Teeth” (2024).

He has also filed patents for his innovative work on photodetectors and laser treatments in dentistry.

🏅 HONORS & AWARDS

Dr. Tareq’s work has garnered numerous accolades over the years, recognizing his groundbreaking contributions to both academia and practical applications in the fields of laser technology and biomedical engineering. His innovative studies have been celebrated in academic and industry circles, earning him a respected place among experts in his field.

🌱 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Tareq’s research will continue to shape the landscape of laser science and biomedical engineering. His commitment to advancing laser applications in healthcare ensures his ongoing influence in the academic and medical communities. As his work progresses, Dr. Tareq will undoubtedly leave a lasting legacy in the fields of biomedical optics, materials science, and nanotechnology.

🔚 FINAL NOTE

Dr. Mays Sameer Tareq’s career exemplifies a deep commitment to advancing science and technology. His research, teaching, and innovative contributions to laser applications in healthcare have had a significant impact on both the scientific community and society. His future endeavors promise to continue driving advancements in laser science and medical engineering, solidifying his place as a leader in his field.

 TOP NOTES PUBLICATIONS 📚

  • Heavy metal migration from dental filling materials to calcified oral tissues: an in vitro analysis using LIBS and ICP-MS techniques

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Odontology

    • Year: 2025

  • Quantitative Analysis Of Gallstones By Utilize LIBS Technique With ICP-MS And Standard Methods: An In Vitro Study

    • Authors: Lara A. Kadhim; Mays S. Tareq

    • Journal: Journal of Optics

    • Year: 2025

  • Nanoparticle Enhanced Laser Induced Breakdown Spectroscopy (NELIBS) Analysis Of Human Teeth By Using ZnO And Al2O3 Nanoparticles

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Journal of Optics

    • Year: 2024

  • Quantitative analysis of human teeth by using LIBS technology with different calibration methods: in vitro study

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Journal of Optics

    • Year: 2024

Wenbin Zhang | Educational Data Analysis | Best Researcher Award

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Prof. Wenbin Zhang | Educational Data Analysis | Best Researcher Award

Sir Run Run Shaw Hospital, Zhejiang University School of Medicine | China

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Summary 📝

Dr. Wenbin Zhang is a Professor and Chief Physician at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine. With extensive experience in cardiology, he specializes in interventional diagnosis and treatment of complex coronary heart disease, refractory hypertension, and heart failure. His research focuses on hypertension-related myocardial remodeling and the inflammatory mechanisms of atherosclerosis, contributing significantly to the understanding of cardiovascular diseases.

Education 🎓

Dr. Zhang completed his medical education and training at Zhejiang University School of Medicine, where he later became a professor and doctoral supervisor. He continues to shape future medical professionals through his commitment to education and research.

Professional Experience 💼

Dr. Zhang serves as a chief physician and teacher in the cardiology department, focusing on critical illnesses. He is an expert in the management of cardiovascular conditions, including coronary heart disease and heart failure. His professional journey also includes leadership roles in medical education and reforms in clinical practice.

Academic Citations 📚

With nearly 70 journal publications in high-impact medical journals such as SCI and Scopus, Dr. Zhang’s research has made notable contributions to the field of cardiology. His work on myocardial remodeling and atherosclerosis has been widely recognized within the scientific community.

Technical Skills 🛠️

Dr. Zhang is highly skilled in interventional cardiology, including coronary angioplasty and the treatment of refractory hypertension. His expertise also extends to molecular biology techniques, providing critical insights into cardiovascular disease mechanisms.

Teaching Experience 👨‍🏫

As a medical professor, Dr. Zhang is deeply involved in curriculum development and the reform of medical education. He actively integrates innovative teaching methods to improve students’ clinical skills and academic performance, ensuring they are well-prepared for the challenges of modern medicine.

Research Interests 🔬

Dr. Zhang’s primary research interests include the molecular mechanisms of hypertension-related myocardial remodeling and the inflammatory pathways that drive atherosclerosis. His work is paving the way for future therapeutic strategies in cardiovascular disease management.

Top Notes Publications 📚

Variability in Plasma Lipids Between Intensive Statin Therapy and Conventional-Dose Statins Combined with Ezetimibe Therapy in Patients with Coronary Atherosclerosis Disease

    • Authors: Jinhua Jin, Liwen Shan, Manjun Wang, Lu Liu, Tian Xu, Duanbin Li, Zhezhe Chen, Xianglan Liu, Wenbin Zhang, Ya Li

    • Journal: International Heart Journal

    • Year: 2023

Liver enzymes mediate the association between aldehydes co-exposure and hypertriglyceridemia

    • Authors: Duanbin Li, Zhezhe Chen, Yu Shan, Tianli Hu, Xulin Hong, Jun Zhu, Yunhui Zhu, Guosheng Fu, Min Wang, Wenbin Zhang

    • Journal: Ecotoxicology and Environmental Safety

    • Year: 2023

Polydopamine (PDA) coatings with endothelial vascular growth factor (VEGF) immobilization inhibiting neointimal formation post zinc (zn) wire implantation in rat aortas

    • Authors: Jiayin Fu, Qiongjun Zhu, Zhezhe Chen, Jing Zhao, Shaofei Wu, Meng Zhao, Shihui Xu, Dongwu Lai, Guosheng Fu, Wenbin Zhang

    • Journal: Biomaterials Research

    • Year: 2023

Erythrocyte parameters, anemia conditions, and sex differences are associated with the incidence of contrast-associated acute kidney injury after coronary angiography

    • Authors: Xihong Li, Qingqing Chen, Xinrui Yang, Duanbin Li, Changqing Du, Jun Zhang, Wenbin Zhang

    • Journal: Frontiers in Cardiovascular Medicine

    • Year: 2023

Biomimetic and NOS‐Responsive Nanomotor Deeply Delivery a Combination of MSC‐EV and Mitochondrial ROS Scavenger and Promote Heart Repair and Regeneration

    • Authors: Ning Zhang, Mengkang Fan, Yongchao Zhao, Xiaolong Hu, Qiongjun Zhu, Xiaolu Jiao, Qingbo Lv, Duanbin Li, Zheyong Huang, Guosheng Fu, et al.

    • Journal: Advanced Science

    • Year: 2023

Emmanuel Adesuyi | Healthcare Data Analysis | Best Researcher Award

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Mr. Emmanuel Adesuyi | Healthcare Data Analysis | Best Researcher Award

Birmingham City University United Kingdom | United Kingdom

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👩‍⚕️ Mr. Emmanuel Adesuyi – Nurse Educator and Researcher

Emmanuel Adesuyi is a dedicated and passionate academic in the nursing and healthcare profession. As a Doctoral Researcher and Lecturer at Birmingham City University, he combines his love for teaching with rigorous research in the field of nursing and midwifery education. He is committed to evidence-based teaching and the development of curricula that empower nursing and midwifery students. Emmanuel’s academic journey is driven by his goal of fostering continuous learning and contributing to global health through research and policy development.

🎓 Education & Qualifications

Emmanuel is currently pursuing a Doctor of Philosophy (PhD) in Nursing at Birmingham City University, with a focus on teaching and learning in digital spaces in nursing and midwifery education. His academic background includes a Master of Public Health (MPH) from Ladoke Akintola University of Technology, Nigeria, and a Bachelor of Nursing Science (BNSc) degree. He has also completed postgraduate training in research practice and has received certification in leadership and teaching techniques for higher education.

💼 Professional Experience

Emmanuel has a diverse range of professional experiences. He currently holds a full-time position as a Doctoral Researcher and Lecturer at Birmingham City University, contributing to research and curriculum development. He has also worked as a Staff Nurse in various healthcare settings, including Thornbury Nursing Service, Leighton Hospital, and University College Hospital in Nigeria, where he provided patient care in orthopaedics, neurosurgery, and emergency departments.

📝 Research & Scholarly Activity

Emmanuel’s research interests are focused on improving healthcare through education and policy. He is currently working on several projects, including exploring the effectiveness of nursing and midwifery curricula across the WHO-Afro region and studying the impact of digital spaces on teaching and learning. His ongoing research includes studies on HIV/AIDS medication adherence, childhood diarrhea management, and primary healthcare system determinants.

🏆 Grants & Awards

Emmanuel has been awarded several prestigious grants, including a research grant from the Phi Mu Chapter of Sigma Theta Tau Nursing Society, a fully funded fellowship in Global Nurse Leadership by the Global Nursing Leadership Institute, and a grant funded by the WHO and ICN for his project on standardizing nursing and midwifery education in the WHO-Afro region.

🌍 Volunteer & Community Activities

In addition to his academic and professional roles, Emmanuel is deeply committed to community service. He is the Chief Executive Officer of the Institute of Nursing Research, Nigeria, a not-for-profit organization he co-founded in 2016. He has been instrumental in guiding nurses in their research endeavors, promoting evidence-based practices, and providing leadership in various community outreach projects.

📚 Teaching Engagement & Contributions

Emmanuel actively engages with students at various levels, offering both guidance and expertise. He contributes to the teaching of nursing students across different stages of their education at Birmingham City University, including supervising research projects and leading practical and theoretical modules in nursing care.

Emmanuel’s dedication to teaching, research, and healthcare policy development reflects his commitment to enhancing the nursing profession globally. Through his diverse roles and ongoing initiatives, he strives to make a meaningful impact on both education and healthcare delivery. 🌍

📚 Top Notes Publications 

Stigmatization, Medication Adherence and Resilience Among Recently Diagnosed People Living With HIV/AIDS (PLWHA): A Mixed‐Method Study

    • Authors: Emmanuel O. Adesuyi, Cynthia A. Attah, Oluwatosin A. Ige, Confidence C. Attamah, Khadijah A. Jimoh, Opeoluwa O. Olabode, Oluwadamilare Akingbade, Ayobami O. Adeagbo, Rafiat Akinokun, Esther Ilesanmi et al.

    • Journal: Public Health Challenges

    • Year: 2025

Determinants of implementation of evidence-based practice in clinical decision-making among nurses in primary health care facilities in Ondo State, Nigeria

    • Authors: Opeoluwa Oluwatoyin Olabode, Funmilayo A. Okanlawon, Yetunde Olufunmilayo Tola, Emmanuel O. Adesuyi, Oluwadamilare Akingbade

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Knowledge and Perception of Nursing Students in Nigeria towards Research: A Cross-Sectional Study

    • Authors: Elizabeth Olayimika Awoniyi, Oluwadamilare Akingbade, Caroline Oyebola Ajiboye, Glory Uleko Idigbe, Chioma Joy Eze, Victoria Damilola Adediran, Israel Opeyemi Fawole, Emmanuel O. Adesuyi

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Perceived impact of graduate nurses’ internship program on nursing practice in Nigeria

    • Authors: Afeez Adeshina Suleiman, Rafiat Akinokun, Damilare Jonathan Arowolo, Elisha Oluwatobi Olabisi, Emmanuel O. Adesuyi, Omowunmi Ajiboye, Aduragbemi Oluwapelumi Ogunleye, Oluwadamilare Akingbade

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Utilisation of Insecticide-treated Net and its Associating Factors in the Prevention of Malaria Among Pregnant Women Attending a Nigerian Antenatal Clinic

    • Authors: D.C Marindoti, B.N Ogunyinka, S.A Ayoola, C.U Samuel, A.O Popoola, Emmanuel O. Adesuyi

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Zafer Aslan | Atmospheric Science | Best Researcher Award

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Prof. Zafer Aslan | Atmospheric Science | Best Researcher Award

Istanbul Aydın University | Turkey

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Prof. Zafer Aslan⚡🌍

👩‍🏫 Summary

Prof. Zafer Aslan is a distinguished academic with a strong background in atmospheric sciences. She holds a Ph.D. from Istanbul Technical University and has extensive experience in international research, having visited top institutions like the University of Washington (USA) and ICTP (Italy). Currently, she serves as the Vice Rector and a Professor at Istanbul Aydın University, where she also leads international relations and research initiatives. With over 50 publications and extensive contributions to multiple academic journals, Prof. Aslan is a highly respected figure in her field.

🎓 Education

  • B.Sc. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1975)
  • M.Sc. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1981)
  • Ph.D. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1987)

💼 Professional Experience

Prof. Aslan’s career spans across various institutions in both academic and leadership roles:

  • Vice Rector & Professor at Istanbul Aydın University, Department of Computer Engineering (2009–Present)
  • Vice Dean at Kafkas University (1994–1997)
  • Vice Rector & Dean at Beykent University (1997–2004)
  • Teaching Member & Vice Director at Istanbul Commerce University (2004–2005)
  • She has also been involved with international organizations such as ICTP, where she held roles like Senior Associate and Project Coordinator.

📚 Academic Citations & Recognition

  • Over 50 publications in refereed journals.
  • Editor for 9 international journals.
  • Awarded the Paul Tissandier Award (2013) and the Simons Associate Award (2014) for her research contributions.
  • A member of notable organizations such as ICTP-OWSD and FAI-OSTIV.

🛠️ Technical Skills

Prof. Aslan’s expertise encompasses a wide range of disciplines:

  • Atmospheric Physics & Climatology
  • Renewable Energy, particularly Wind and Solar Energy Potential
  • Applied Mathematics and Data Mining techniques for research and analysis
  • Satellite Data applications in environmental research.

👨‍🏫 Teaching Experience

Prof. Aslan has guided numerous students at the Master’s and Ph.D. levels, with ongoing supervision of graduate theses in the fields of:

  • Atmospheric Sciences
  • Renewable Energy (Wind and Solar)
  • Machine Learning applications in environmental and engineering problems.

🔬 Research Interests ON Atmospheric Science

Her primary research interests include:

  • Atmospheric Convection & Thermal Soaring (related to aviation and meteorology)
  • Data Analysis in Atmospheric Sciences (e.g., using data mining and machine learning techniques for environmental modeling)
  • Contributions to Renewable Energy studies, especially regarding wind and solar energy potential in Turkey.

📚 Top Notes Publications

Article: Earth virtualization engines (EVE)

Author(s): B Stevens, S Adami, T Ali, H Anzt, Z Aslan, S Attinger, J Bäck, J Baehr, …
Journal: Earth System Science Data
Year: 2024

Article: Effects of climate change on soil erosion risk assessed by clustering and artificial neural network

Author(s): Z Aslan, G Erdemir, E Feoli, F Giorgi, D Okcu
Journal: Pure and Applied Geophysics
Year: 2019

Article: Rank determination of mental functions by 1D wavelets and partial correlation

Author(s): Y Karaca, Z Aslan, C Cattani, D Galletta, Y Zhang
Journal: Journal of Medical Systems
Year: 2017

Article: Harmonic analysis of precipitation, pressure, and temperature over Turkey

Author(s): Z Aslan, D Okcu, S Kartal
Journal: NUOVO CIMENTO-SOCIETA ITALIANA DI FISICA SEZIONE C
Year: 1997

Article: Global wind energy assessment of Turkey and a case study in the northwest

Author(s): Z Aslan, S Mentes, MA Yukselen, S Tolun
Journal: International Energy Symposium 21st Century, Istanbul
Year: 1994

Article: Güneş enerjisi potansiyelinin çoklu lineer regresyon ve yapay sinir ağları ile modellenmesi

Author(s): D Gabralı, Z Aslan
Journal: AURUM Journal of Engineering Systems and Architecture
Year: 2020

Aleksey Tashkinov | Educational Data Analysis | Best Researcher Award

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Mr. Aleksey Tashkinov l Educational Data Analysis | Best Researcher Award

Perm National Research Polytechnic University, Russia

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Early Academic Pursuits 🎓

Mr. Tashkinov Aleksey began his academic journey with a strong foundation in economic sciences, ultimately earning his designation as a Candidate of Economic Sciences. His early academic pursuits focused on developing theoretical models and conceptual approaches to economic systems, particularly in production management and organizational change in the digital era. This initial exploration laid the groundwork for his ongoing contributions to the academic field, with a focus on integrating traditional economic concepts with emerging technological advancements like digital transformation and lean manufacturing.

Professional Endeavors 💼

As an Associate Professor at Perm National Research Polytechnic University, Mr. Tashkinov has demonstrated his professional expertise through teaching and research. His role extends beyond just academia, having been directly involved in consultancy and industry projects that bridge the gap between theoretical knowledge and real-world application. His experience in the implementation of lean methodologies, digital production systems, and project management techniques has been pivotal in shaping the strategies of numerous enterprises in the industrial sector, particularly in the context of digital transformation.

Contributions and Research Focus 🔍

Mr. Tashkinov’s research focus is centered around enterprise management, lean manufacturing, and the economics of digital transformation. He explores how industries can adapt to modern challenges through the implementation of Industry 4.0 principles and digital tools. His work on digital transformation strategies, quality systems, and active manufacturing systems is of particular significance in understanding how enterprises can thrive in a rapidly changing technological landscape. Through his collaborative efforts with students, faculty, and industry leaders, he continues to make notable contributions to the academic community and beyond.

Impact and Influence 🌍

Mr. Tashkinov’s contributions have a wide-reaching impact on both academic theory and industrial practice. His research on lean manufacturing and digital production has influenced the strategies adopted by many enterprises, helping them transition to more efficient, innovative, and sustainable business models. By providing actionable insights into the integration of digital tools and manufacturing technologies, he has positively affected the operational efficiency and management practices within a variety of industries.

Academic Cites 📚

With a Hirsch index of 7, Mr. Tashkinov’s work has been cited extensively in academic journals and industry publications. His notable papers on the role of artificial intelligence in lean manufacturing, the development of digital strategies for industrial enterprises, and the transformation of production management systems highlight his academic impact. His published works in leading journals like Discover Artificial Intelligence and International Journal of Management Trends underscore the significance of his research in the evolving field of industrial economics and management.

Technical Skills ⚙️

Mr. Tashkinov has honed an impressive array of technical skills that complement his academic expertise. He is proficient in digital manufacturing, lean technologies, and project management tools that are vital in guiding enterprises through digital transformation. His knowledge extends to cutting-edge technologies such as artificial intelligence and virtual reality, which he integrates into real-world management solutions. These technical skills are essential for his work in academia, consultancy, and industry projects, where he leads initiatives aimed at enhancing operational efficiency through digital means.

Teaching Experience 👨‍🏫

With years of teaching experience, Mr. Tashkinov has become a key educator at Perm National Research Polytechnic University. He plays an integral role in mentoring students, helping them develop the skills and critical thinking necessary for success in the field of economics and industrial management. His pedagogical approach is rooted in practical experience, often involving students in real-world projects and case studies to provide them with a comprehensive understanding of the challenges and opportunities in digital transformation and enterprise management.

Legacy and Future Contributions 🌱

As an academic and researcher, Mr. Tashkinov is committed to leaving a lasting legacy in the fields of economics and industrial production management. His future contributions will likely focus on the further integration of digital tools in enterprise management, especially as industries continue to evolve in response to digital transformation. He envisions a future where his work continues to inspire the next generation of researchers, practitioners, and industry leaders to explore new ways to enhance productivity, innovation, and sustainability in industrial settings.

Collaboration and Industry Engagement 🤝

Mr. Tashkinov is dedicated to fostering collaborations with both academic peers and industry leaders. His research is highly collaborative, with numerous joint projects involving students, faculty, and professionals from diverse sectors. These collaborations are critical to ensuring that his research addresses real-world challenges and remains relevant to current industry needs. His active engagement with the industrial sector also provides valuable opportunities for knowledge transfer, ensuring that the latest research findings are effectively applied to improve operational performance.

Professional Memberships and Recognition 🏅

Mr. Tashkinov’s professional standing is further bolstered by his membership in several prestigious academic and professional organizations related to economics, industrial production, and digital transformation. These memberships provide him with access to a global network of experts and a platform to share his research with an international audience. His contributions have been recognized by various academic and industry bodies, affirming his reputation as a leader in his field.

Top Noted Publications 📖

Theoretical and methodological foundations of the process approach to management in an industrial enterprise
    • Authors: AG Tashkinov
    • Journal: Bulletin of Perm University. Series: Economics
    • Year: 2014
Strategically Oriented Budgeting in an Industrial Enterprise: A Methodological Approach
    • Authors: AG Tashkinov
    • Journal: Bulletin of Perm University. Series: Economics
    • Year: 2013
The Impact of Integrated Lean Manufacturing Implementation on the Efficiency of Enterprise Production System Development
    • Authors: AG Tashkinov
    • Journal: Bulletin of Perm National Research Polytechnic University
    • Year: 2022
Change management mechanism in the development of production systems
    • Authors: VL Popov, AG Tashkinov
    • Journal: Economics and Entrepreneurship
    • Year: 2015
Development of a methodology for assessing the effectiveness of projects for developing an enterprise production system within the framework of an integrated management technology
    • Authors: NB Akatov, VL Popov, AG Tashkinov
    • Journal: Economics and Entrepreneurship
    • Year: 2016
Improving the mechanism of industrial enterprise management
    • Authors: VL Popov, AG Tashkinov
    • Journal: Bulletin of Perm National Research Polytechnic University
    • Year: 2016

yunhao zhao | Data Analysis Innovation | Best Researcher Award

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Assoc Prof Dr. yunhao zhao | Data Analysis Innovation | Best Researcher Award

Qingdao Huanghai University, China

Author Profile

Orcid 

🧑‍🎓 Early Academic Pursuits

Yunhao Zhao was Shandong, P.R. China. His academic journey began with a strong foundation in International Economics and Social Security studies, setting the stage for his future research. After completing his undergraduate education, he became an associate professor at Qingdao Huanghai University, where he also supervises undergraduate students. His quest for further knowledge continues as he pursues a Ph.D. at The Catholic University of Korea, focusing on the evolving fields of economics and social security.

👨‍🏫 Professional Endeavors

Dr. Zhao’s academic career has been marked by significant contributions in the realms of data analysis and economic research. As an All-Media Operator and Associate Professor, he actively engages in both teaching and research at Qingdao Huanghai University. His dedication to advancing knowledge in the academic sphere extends to overseeing the academic progress of undergraduate students, ensuring they are equipped with the necessary skills and insights to excel in their respective fields.

📊 Contributions and Research Focus

Dr. Zhao’s primary research areas are data analysis, internet of things (IoT), and auction theory. His most notable work focuses on congestion control in IoT systems, where he applied auction theory to improve performance and efficiency. His research contributions are significant in their potential to drive forward the development of smarter and more efficient IoT networks. Furthermore, his work on energy consumption reduction demonstrates the real-world impact of his methods, achieving a remarkable 24.13% reduction in energy usage in experimental scenarios.

🌍 Impact and Influence

Dr. Zhao’s work has already made notable contributions to the global research community, evidenced by his publication in Scientific Reports (SCI) and recognition in high-impact journals. His research on IoT and auction theory has contributed to solving critical issues in technology and energy efficiency, impacting industries reliant on smart technology. His scholarly output has the potential to influence policy and innovation in areas such as network management and resource optimization.

🔧 Technical Skills

Dr. Zhao possesses advanced technical skills in data analysis, machine learning, and network optimization, particularly within the context of IoT systems. His expertise in auction theory and its applications in real-world scenarios is a testament to his depth of understanding and innovation in these areas. He is also adept at utilizing advanced analytical tools and methods to derive actionable insights from complex datasets.

👩‍🏫 Teaching Experience

As an Associate Professor at Qingdao Huanghai University, Dr. Zhao has extensive experience in educating the next generation of scholars and professionals. His role as a supervisor for undergraduate students allows him to nurture young talent and help shape their academic journeys. His commitment to teaching is evident through his personalized mentorship approach, guiding students to succeed in both their academic and professional aspirations.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Zhao aims to continue contributing to the field of International Economics and Social Security Studies, with a strong emphasis on data-driven solutions. His work has already proven impactful, and he intends to further refine his methodologies to solve pressing global issues such as economic inequality, social security systems, and technological advancements in IoT. His legacy will undoubtedly inspire future researchers and practitioners in these fields, and his work has the potential to pave the way for groundbreaking solutions in economic policy and technological development.

🏆 Recognition and Awards

Dr. Zhao’s academic achievements have garnered recognition within the research community. He is a strong candidate for the Best Researcher Award for his ongoing contributions to data analysis and IoT research. His ability to surpass existing methodologies, particularly in terms of energy efficiency, sets him apart as an innovator in his field. His commitment to advancing knowledge and solving real-world problems makes him a deserving nominee for such accolades.

 

📖 Top Noted Publications

Congestion control in internet of things (IoT) using auction theory
    • Authors: Zhenlong Li; Yunhao Zhao
    • Journal: Scientific Reports
    • Year: 2024
Enhancing China’s green GDP accounting through blockchain and artificial neural networks (ANNs) and machine learning (ML) modeling
    • Authors: Nasi Wang; Yunhao Zhao; Jun Li; Guanfeng Cai
    • Journal: Scientific Reports
    • Year: 2024
Speech emotion analysis using convolutional neural network (CNN) and gamma classifier-based error correcting output codes (ECOC)
    • Authors: Yunhao Zhao; Xiaoqing Shu
    • Journal: Scientific Reports
    • Year: 2023

Shubing Dai | Algorithm Development | Best Researcher Award

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Prof. Shubing Dai | Algorithm Development | Best Researcher Award

Prof. Shubing Dai at Northwest A&F University, China

Professional Profile👨‍🎓

👨‍🏫 Summary

Prof. Shubing Dai is an Associate Professor at Northwest A&F University, specializing in Hydraulic Engineering. With a background in Hydraulics and River Dynamics, he has published over 20 research papers and actively participated in over 20 research projects. His work primarily focuses on urban flood management, hydraulic structures, and water flow dynamics. He is also an active member of key professional organizations, including the China Society for Hydroelectric Engineering and the International Association for Hydro-Environment Engineering and Research (IAHR).

🎓 Education

Prof. Dai began his academic career at Northwest A&F University, where he earned his Bachelor’s (2008–2012) and Master’s (2012–2015) degrees in Hydraulic and Hydroelectric Engineering. He then pursued a Ph.D. in Hydraulics and River Dynamics at Dalian University of Technology (2016–2021). Additionally, he worked as a visiting scholar at the University of La Coruña in Spain (2024).

💼 Professional Experience

Prof. Dai has extensive professional experience, both in academia and industry. He currently serves as an Associate Professor at Northwest A&F University and the Department Secretary of the Hydraulic Engineering Department. He also previously worked as an Assistant Engineer at the Changjiang Survey, Planning, and Design Institute (2015–2016), contributing to several major hydropower and hydraulic engineering projects.

📚 Academic Contributions

Prof. Dai is an active contributor to the academic community, serving as a reviewer for several leading journals such as Journal of Hydrology and Physics of Fluids. He also serves as an editorial board member for an international journal. His research focuses on water resources, hydraulic structures, and flow dynamics, with over 20 published papers and several high-impact research projects.

🔧 Technical Skills

Prof. Dai has developed a range of technical skills, including:

  • Hydraulic Engineering: Focus on energy dissipation and optimization of flood discharge systems.
  • Urban Flooding & Drainage: Expertise in urban drainage system design, stormwater management, and flood mitigation.
  • Flow Dynamics: Proficient in Computational Fluid Dynamics (CFD) and non-steady flow simulations for hydraulic applications.
  • Hydropower Engineering: In-depth research on dam-break flood modeling, hydraulic structures, and their interactions with water flow.

👩‍🏫 Teaching Experience

As a dedicated educator, Prof. Dai mentors master’s students and teaches courses on fluid dynamics, hydraulic modeling, and water resource management. He is also responsible for the administration of the Water Resources and Hydroelectric Engineering department at Northwest A&F University, playing a key role in curriculum development and academic planning.

🔬 Research Interests

Prof. Dai’s research interests are focused on:

  • Hydraulic Engineering: Research on energy dissipation in hydraulic structures and optimization of flood discharge processes.
  • Flood Disaster Management: Urban flood management, drainage systems, and dam-break flood evolution.
  • Non-steady Flow & Hydrodynamics: Investigating the dynamics of free-surface flows, wave behavior, and non-constant flow conditions in hydraulic systems.

🔍 Research Projects

Prof. Dai leads and participates in several important research projects, such as:

  • City Flood and Drainage Systems Simulation (2022–2025)
  • Optimization of Urban Drainage Under Extreme Rainfall Conditions (2023–2025)
  • Dam-Break Flood Evolution and Structural Interaction Studies (2024–2026)
    He is also involved in national and regional projects on hydraulic structure optimization, flood forecasting, and water resource management.

 

📖Top Noted Publications

Numerical study of roll wave development for non-uniform initial conditions using steep slope shallow water equations

Authors: Dai, S., Liu, X., Zhang, K., Liu, H., Jin, S.
Journal: Physics of Fluids
Year: 2024

Discharge coefficients formulae of grate inlets of complicated conditions for urban floods simulation and urban drainage systems design

Authors: Dai, S., Hou, J., Jin, S., Hou, J., Liu, G.
Journal: Journal of Hydrology
Year: 2023

Land Degradation Caused by Construction Activity: Investigation, Cause and Control Measures

Authors: Dai, S., Ma, Y., Zhang, K.
Journal: International Journal of Environmental Research and Public Health
Year: 2022

Numerical investigations of unsteady critical flow conditions over an obstacle using three models

Authors: Dai, S., Jin, S.
Journal: Physics of Fluids
Year: 2022

Interception efficiency of grate inlets for sustainable urban drainage systems design under different road slopes and approaching discharges

Authors: Dai, S., Jin, S., Qian, C., Ma, Y., Liang, C.
Journal: Urban Water Journal
Year: 2021

Sogand Dehghan | social network analysis | Best Innovation Award

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Ms. Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan at K. N. Toosi University of Technology, Iran

👨‍🎓Professional Profiles

Orcid Profile

Google Scholar  Profile

👩‍💻 Summary

Ms. Sogand Dehghan an Information Technology specialist with expertise in data analysis and software development. My work primarily focuses on collecting, cleaning, and analyzing data from various sources to create actionable reports and dashboards for organizational decision-making. I am passionate about using data-driven strategies to help businesses achieve their goals, with a particular interest in social media analysis and its alignment with organizational objectives. Additionally, I enjoy developing data-driven software solutions that enhance operational efficiency.

🎓 Education

Ms. Sogand Dehghan earned my Master’s Degree in Information Technology from K.N. Toosi University of Technology (2019-2022) and my Bachelor’s Degree in Information Technology with a grade of 97% from Payame Noor University (2012-2016). My thesis, titled “Provision of an Efficient Model for Evaluation of Social Media Users Using Machine Learning Techniques,” focused on leveraging machine learning to assess social media engagement and user behavior.

💼 Professional Experience

Ms. Sogand Dehghan currently hold two key roles: as an Instructor at National Skills University, where I teach courses on Advanced Programming and Data Analysis (since Sep 2024), and as a Data Analyst at GAM Arak Industry, where I focus on data mining, machine learning, and visualizing data insights using tools like Power BI, Python, SQL Server, and SSRS (since Jan 2024). Additionally, I serve as a Software Developer at GAM Arak Industry, working with C#, ASP.NET Core, and SQL Server to build scalable software solutions (since Apr 2023). In my previous role at Kherad Sanat Arvand (Apr 2022 – Jun 2023), I honed my skills in data analysis and dashboard development.

📚 Academic Citations

My research has been published in prestigious journals. My paper, “The Credibility Assessment of Twitter Users Based on Organizational Objectives,” was published in Computers in Human Behavior (Sep 2024), where I developed a model for assessing the credibility of Twitter users by integrating profile data with academic sources like Google Scholar. Another notable publication, “The Evaluation of Social Media Users’ Credibility in Big Data Life Cycle,” appeared in the Journal of Information and Communication Technology (Sep 2023), in which I reviewed existing frameworks for evaluating social media user credibility.

🔧 Technical Skills

My technical skill set includes expertise in C#, ASP.NET, Python, and SQL Server for software development. I specialize in Data Visualization with Power BI, Data Mining, Machine Learning, and Social Network Analysis. Additionally, I have a solid foundation in Text Mining and Data Modeling, which enables me to provide comprehensive solutions for data-driven challenges in various organizational contexts.

👨‍🏫 Teaching Experience

As an Instructor at National Skills University, I teach Advanced Programming and Data Analysis. I focus on equipping students with the skills needed to thrive in the data-driven world of technology. My approach integrates real-world data problems with theoretical knowledge to help students apply their learning in practical scenarios.

🔍 Research Interests

My research interests lie in the intersection of Machine Learning and Social Network Analysis. I am particularly interested in developing models to evaluate social media user credibility, integrating heterogeneous data sources for organizational decision-making, and exploring the broader implications of big data in evaluating trust and influence within social networks.