Prof. Dr. Chen-Tung Chen | Performance Analysis | Best Researcher Award

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Prof. Dr. Chen-Tung Chen | Performance Analysis | Best Researcher Award

Prof. Dr. Chen-Tung Chen, National United University, Taiwan

Chen-Tung Chen, a renowned academic in Industrial Engineering, holds a distinguished career as a professor at the Department of Information Management, National United University, Taiwan, since 2005. He earned his Bachelor’s and Master’s degrees in Industrial Engineering from National Tsing-Hua University, Taiwan, in 1987. In 1995, he completed his Ph.D. in Industrial Engineering and Management at National Chiao-Tung University, Taiwan. With an extensive academic background, Professor Chen has made significant contributions to various fields, including decision support systems, knowledge management, project management, data mining, and supply chain management. His research integrates fuzzy set theory and multiple criteria decision-making to address complex issues in the aforementioned domains. He has published numerous influential articles in prominent academic journals, shaping the evolution of Industrial Engineering and Information Management in Taiwan and beyond. His work continues to inspire students and professionals alike, making him a key figure in his field.

Professional Profile:

Scopus

Google Scholar

Suitability for Best Researcher Award:

Professor Chen-Tung Chen is highly suitable for the Best Researcher Award due to his remarkable contributions to the fields of Industrial Engineering and Information Management. His work in fuzzy set theory and multiple criteria decision-making has shaped the way complex problems in areas like project management, supply chain management, and knowledge management are approached. Professor Chen’s interdisciplinary expertise, particularly in decision support systems and data mining, has not only advanced academic knowledge but has also driven innovation in practical applications, benefiting both businesses and research communities. His pioneering research and continuous focus on bridging theory with practice demonstrate his leadership and impact in his field.

🎓Education 

Chen-Tung Chen’s academic journey began with a Bachelor’s and Master’s degree in Industrial Engineering from the Department of Industrial Engineering at National Tsing-Hua University, Taiwan, in 1987. Driven by a passion for research and academia, he pursued his Ph.D. in Industrial Engineering and Management at National Chiao-Tung University, Taiwan, which he completed in 1995. His doctoral research further deepened his understanding of decision-making processes and their applications in management systems. This solid educational foundation provided the groundwork for his academic career, allowing him to delve into cutting-edge research areas such as fuzzy set theory, decision support systems, and knowledge management. Throughout his career, Professor Chen has remained committed to the continuous pursuit of knowledge, contributing to advancements in his field. His education, along with his rigorous research and teaching experience, has positioned him as a respected leader in the fields of Industrial Engineering and Information Management.

🏢Experience 

Professor Chen-Tung Chen has had an esteemed career in academia, holding the position of Professor at the Department of Information Management, National United University, Taiwan, since 2005. Prior to this, he earned a solid foundation in Industrial Engineering and Management, where he gained extensive experience in both teaching and research. His early academic journey included earning his Bachelor’s and Master’s degrees in Industrial Engineering from National Tsing-Hua University and his Ph.D. from National Chiao-Tung University, Taiwan. Over the years, Professor Chen has contributed to the growth of his department by offering innovative courses and mentoring numerous graduate students. His interdisciplinary expertise spans several areas, including fuzzy set theory, project management, data mining, and supply chain management. His influence extends beyond the classroom as he has become a key figure in advancing research in decision support systems, knowledge management, and e-business. His vast experience in academia has made him an invaluable resource for students and the research community.

🏅Awards and Honors 

Professor Chen-Tung Chen has been widely recognized for his outstanding contributions to the fields of Industrial Engineering and Information Management. Over the years, he has received several academic accolades for his excellence in research and teaching. As a respected figure in the academic community, he has earned recognition from numerous prestigious journals, where his work has been published. His research, particularly in the application of fuzzy set theory and multiple criteria decision-making, has garnered attention and praise from his peers. Professor Chen’s ability to bridge the gap between theory and practice has led to his involvement in significant projects in the fields of supply chain management, knowledge management, and e-business. His work has had a profound impact on both the academic and professional realms, earning him awards for his contributions to decision support systems and project management. His dedication to advancing his field continues to inspire colleagues, students, and researchers globally.

🔬Research Focus 

Professor Chen-Tung Chen’s research interests are centered on several critical areas in Industrial Engineering and Information Management. His primary focus lies in the application of fuzzy set theory and multiple criteria decision-making techniques to complex decision-making problems in various fields, including project management, supply chain management, and knowledge management. His work in developing decision support systems has led to innovative solutions for optimizing business processes and improving decision-making efficiency. Professor Chen also explores the role of data mining in extracting actionable insights from large datasets, enhancing organizational performance. His research in e-business focuses on improving digital transformation strategies and decision-making processes in modern enterprises. Additionally, his contributions to the design of supply chain management systems aim to create more efficient and responsive global supply networks. Overall, Professor Chen’s research aims to bridge theoretical knowledge with practical applications, providing valuable tools for both academic and professional communities.

Publication Top Notes:

  1. “Extensions of the TOPSIS for group decision-making under fuzzy environment”
    • Citations: 5275
  2. “A fuzzy approach for supplier evaluation and selection in supply chain management”
    • Citations: 2532
  3. “Acute toxicity and biodistribution of different sized titanium dioxide particles in mice after oral administration”
    • Citations: 1526
  4. “Acute toxicological effects of copper nanoparticles in vivo”
    • Citations: 1358
  5. “Diverse applications of nanomedicine”
    • Citations: 1315

 

 

 

 

 

Ziad El Rassi | Performance Analysis | Best Researcher Award

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Prof Dr Ziad El Rassi: Performance Analysis | Best Researcher Award

Regents Professor of Chemistry at  Oklahoma State University, United States

Dr. El Rassi is a distinguished Regents Professor of Chemistry at Oklahoma State University. With a prolific career spanning decades, he has supervised 26 PhD and 10 MS students, including international exchanges. His teaching excellence reflects in consistently high evaluations.

🌐 Professional Profiles:

🎓 Education : 

🎓 Dr. El Rassi embarked on his academic journey at Lebanese University, Beirut, Lebanon, earning a B.S. in Chemistry with honors in 1972. 🏅 His dedication continued as he attained an Education Degree in Chemistry with honors the following year. 🔍 Seeking deeper knowledge, he pursued an M.S. in Analytical Chemistry at Claude-Bernard University in Lyon, France, graduating with the prestigious “Tres Honorable” distinction in 1976. 🇫🇷 ⚗️ Undeterred, Dr. El Rassi pursued his passion, achieving a Ph.D. in Chemistry from Claude-Bernard University in 1978. His groundbreaking thesis focused on the “Surface Modification of Porous Silica Gels Used in High Performance Liquid Chromatography.” 📚 This marked the foundation of his impactful journey in separation science.

🔍Research and Professional Experience: 

🔬 Dr. El Rassi’s professional journey is a testament to his dedication and expertise: 📅 1978-1980: He commenced his academic career as a Visiting Assistant Professor at Ecole Centrale de Lyon in Lyon, France. 🇫🇷 🔍 1980-1985: Dr. El Rassi’s association with Yale University began as an Associate Research Scientist in the Department of Chemical Engineering, under the guidance of Research Director Professor Csaba Horváth. 🌟 1985-1988: His impact at Yale continued, transitioning into the role of Research Scientist in the same department, solidifying his position as a prominent figure in chemical engineering. 📚 1988-1993: The next phase of his journey led him to Oklahoma State University, where he served as Assistant Professor of Chemistry. 🤠 🎓 1993-1998: Dr. El Rassi’s influence expanded as he took on the role of Associate Professor of Chemistry at Oklahoma State University. 👨‍🏫 1998-2013: His commitment to academia and research blossomed further as he ascended to the position of Professor of Chemistry at Oklahoma State University. 🌟 2013-Present: Currently, Dr. El Rassi holds the prestigious position of Regents Professor of Chemistry at Oklahoma State University, Stillwater, OK. 🎓 His enduring impact on both teaching and research is evident in this illustrious career trajectory.

Research Highlights:

🔬 Dr. El Rassi’s research is a beacon in the realm of separation science, with a focus on advancing modern liquid phase techniques. His program encompasses: 🌐 Global Impact: Initiating novel separation schemes and high-resolving principles for biological substances and natural products, establishing a global footprint in the field. 🧪 Physico-Chemical Exploration: Delving into the intricacies of physico-chemical phenomena, unraveling the fundamental aspects underlying liquid phase separation techniques. 🔄 Methodology Enhancement: Constantly evolving and improving methodologies in high performance liquid chromatography, capillary electrophoresis, and capillary electrochromatography, ensuring cutting-edge practices. 🔍 Proteomics Advancement: Pioneering the development of column-based separation platforms specifically tailored for proteomics, contributing to the understanding and analysis of complex biological systems. 🌱 Innovative Techniques: Introducing novel and groundbreaking methods with broad applications in the life sciences, showcasing a commitment to pushing the boundaries of scientific exploration. 👨‍🔬 Dr. El Rassi’s research stands as a testament to his unwavering dedication to advancing the frontiers of separation science, leaving an indelible mark on the scientific community.

Citation:

🔍 Dr. El Rassi’s impact in the academic world is evident through his citation metrics:

📚 Total Citations: 7,478 citations showcase the widespread recognition and influence of his work.

📆 Since 2019: An additional 798 citations in just a few years, highlighting the continued relevance and significance of his contributions.

📊 h-index: A remarkable h-index of 51 underscores the depth and breadth of his scholarly impact.

🔢 i10-index: With an i10-index of 141, and an impressive increase to 29 since 2019, it reflects the substantial number of publications that have garnered at least 10 citations.

🌐 Dr. El Rassi’s work continues to be a cornerstone in the scientific community, contributing significantly to the advancement of separation science.

 

Research Focus:

🔬 Dr. El Rassi’s early research delved into the intricacies of silica gels, exploring their behavior under various conditions and surface modifications. His pioneering work in ion-pair chromatography and quantitative structure retention relationships paved the way for innovative approaches in chromatography. 🌐 As he ventured into high-performance displacement chromatography and liquid chromatograph systems, his focus shifted to nucleic acid fragments, unveiling novel stationary phases and examining constituents. 🧬 The culmination of his efforts led to the development of silica-bound polyethylene glycol as a groundbreaking stationary phase for protein separation, marking a significant contribution to the field of high-performance liquid chromatography. 🚀

 

Publications Top Notes  :