Wonjae Lee | Chiral Separation | Best Researcher Award

Prof. Wonjae Lee | Chiral Separation | Best Researcher Award

Chosun University, College of Pharmacy, South Korea

👨‍🎓Profiles

🎓 Early Academic Pursuits

His academic journey began with a B.S. in Chemistry from Seoul National University. He furthered his studies with an M.S. in Chemistry at KAIST. His pursuit of excellence led him to the University of Illinois at Urbana-Champaign, USA, where he earned a Ph.D. in Chemistry . This robust academic foundation provided him with the skills and expertise necessary for impactful research in analytical chemistry.

💼 Professional Endeavors

His career has been marked by significant contributions across academia, industry, and research institutions: Medical Synthetic Lab, KIST, Korea : Worked as a researcher, honing his skills in medical synthetic research, University of Illinois at Urbana-Champaign, USA : Served as a teaching and research assistant during his doctoral studies, later continuing as a postdoctoral researcher, LG Chem R&D, Korea: Played a pivotal role as a senior researcher at the Analytical Center, contributing to advancements in analytical techniques, College of Pharmacy, Chosun University : Advanced from Assistant to Full Professor, leading innovative research and shaping the next generation of scholars, Held prestigious administrative roles, including Dean of the College of Pharmacy and Dean of the Graduate School of Clinical Pharmacy.

🔬 Contributions and Research Focus

His research primarily focuses on: Enantiomer Separation: Developing analytical methods for chiral compound separation to ensure the purity and efficacy of pharmaceutical agents, Chiral HPLC Column Development: Innovating chiral stationary phases to enhance the resolution and efficiency of chromatography techniques, Chiral Recognition Mechanism: Investigating the molecular interactions underlying chiral recognition, with implications for drug design and safety.

🌍 Impact and Influence

He has significantly impacted both academia and industry: He has pioneered methods that have transformed pharmaceutical analysis and chiral separation technologies, enabling the development of safer and more effective medications. As Chairman of the Pharmaceutical Analysis Division of the Korean Pharmaceutical Society (2014–2015), he shaped policies and initiatives that promoted innovation in pharmaceutical research.

📚 Academic Citations and Publications

Through his extensive research, Professor Lee has contributed to numerous high-impact journals and conferences. His work has garnered global recognition, reflecting his dedication to advancing analytical and pharmaceutical sciences.

👩‍🏫 Teaching Experience

As a professor at Chosun University, He has not only conducted cutting-edge research but also mentored numerous students and researchers. His dedication to teaching ensures the continuous development of skilled professionals in pharmacy and analytical chemistry.

🏆 Legacy and Future Contributions

His illustrious career continues to inspire researchers worldwide. His pioneering work in chiral analysis and pharmaceutical sciences will have long-lasting impacts on both academic and industrial sectors. Moving forward, he aims to further innovate in chiral column technologies and contribute to global pharmaceutical advancements.

📖Notable Publications

 

Mohammad Alhur | Neuro-Tourism | Best Researcher Award

Dr. Mohammad Alhur | Neuro-Tourism | Best Researcher Award

University of Jordan, Jordan

👨‍🎓 Profiles

Early Academic Pursuits

Alhur Mohammad began his academic journey with a B.Sc. in Management Information Systems (MIS) from AL-Balqa'a Applied University, Jordan, graduating in 2009 with a "Very Good" GPA. His passion for information systems led him to pursue an M.Sc. in E-Business at Middle East University (MEU), Jordan, where he graduated with first-class honors. His master’s thesis examined the moderating role of knowledge-sharing culture in the relationship between leadership styles and academic staff performance. Most notably, he earned a Ph.D. in Information Systems from the Universidade de Santiago de Compostela, Spain, where his thesis focused on eHealth technology adoption in Jordan's healthcare system, utilizing an extended UTAUT model. He graduated with honors, earning the distinction of Cum Laude.

💼 Professional Endeavors

His professional career reflects an impressive combination of academic roles and industry experience. He has been a part-time lecturer at the University of Jordan since 2021, teaching courses such as Introductory Statistics, Quantitative Methods for Business, and Research Methodology. Before this, he served as a Data Analysis Lab Supervisor at the University of Jordan, helping conduct research, analyzing data, and training postgraduate students on statistical software since 2011. In the professional sphere, Mohammad worked as a Liaison Officer for Médecins Sans Frontières (MSF) from 2009 to 2011, where he managed and analyzed data on Iraqi patients, tracked documents, and audited patient invoices.

🔍 Contributions and Research Focus

His research spans several important areas, including eHealth technology, digital banking, entrepreneurship, and the use of generative AI in various sectors. Noteworthy ongoing projects include: The synergistic impact of digital banking channels on operational excellence, A study on how Generative AI tools are influencing women entrepreneurs, An investigation into Generative AI's adoption in higher education. His contributions in digital health, AI applications in social science, and business intelligence are shaping his reputation as a thought leader in information systems and digital technologies.

🌍 Impact and Influence

He has significantly influenced the Jordanian academic and healthcare sectors. His work on eHealth adoption provides insights into modernizing healthcare systems, and his expertise in data analysis has helped countless students and professionals alike. He is also a peer reviewer for prestigious journals like IEEE Access, contributing to the global academic community.

📚 Academic Cites and Recognition

His growing body of work is being recognized through citations in both business intelligence and digital health research. He regularly presents his findings at international conferences, such as ICMarkTech'22 in Spain, where he discussed emerging technologies in the financial sector, including Blockchain, Big Data, and AI.

💻 Technical Skills

He is proficient in a broad range of data analysis tools and software platforms: Statistical tools: IBM SPSS, JASP, Smart-PLS, IBM Amos, R language, Qualitative data analysis: NVIVO, MAXQDA, ATLAS.ti, Leximancer, Data visualization & BI tools: Power BI, Tableau, KNIME, Social network analysis: VOSviewer, Gephi, SocNetV. These skills enable him to lead projects in data mining, business intelligence, and AI-based social science research.

🧑‍🏫 Teaching Experience

He has taught a variety of subjects, including: Data Analysis and Presentation, Knowledge Management, Data Mining, E-Commerce Management, Customer Relationship ManagementBusiness Data and Analytics, Spreadsheets Management for BI, Introduction to E-business, Business Intelligence, Data Visualization and Mapping.  His broad teaching portfolio underscores his versatility and ability to guide students in both foundational and advanced topics.

🌟 Legacy and Future Contributions

His future contributions will likely be pivotal in eHealth system development, AI integration in business and education, and further research in digital banking and generative AI. His commitment to teaching, publishing impactful research, and consulting in business intelligence positions him as a key figure in advancing both academic and industry standards in information systems.

📖  Notable Publications

The role of digital communication in developing administrative work in higher education institutions

Authors: Aldreabi, H., Al Twahya, F.K.A., Alzboun, N., Alhur, M., Alshurideh, M.T.
Journal: International Journal of Data and Network Science
Year: 2024

A public value-based model to understand patients’ adoption of eHealth: Theoretical underpinnings and empirical application

Authors: Alhur, M., Caamaño-Alegre, J., Reyes-Santias, F.
Journal: Digital Health
Year: 2024

Assessing gastronomic tourism using machine learning approach: The case of Google review

Authors: Alzboun, N., Alhur, M., Khawaldah, H., Alshurideh, M.T.
Journal: International Journal of Data and Network Science
Year: 2023

Unsupervised Machine Learning to Identify Positive and Negative Themes in Jordanian mHealth Apps

Authors: Alhur, M.S., Alshamari, S., Oláh, J., Aldreabi, H.
Journal: International Journal of E-Services and Mobile Applications
Year: 2022