Cengiz Kahraman | Decision Sciences | Best Researcher Award

Published on by Global Scholar Awards

Prof. Cengiz Kahraman | Decision Sciences | Best Researcher Award

Istanbul Technical University, Turkey

Prof. Cengiz Kahraman is a highly accomplished scholar in industrial engineering, widely recognized for his contributions to decision-making sciences. His expertise spans engineering economics, quality control, statistical decision-making, and fuzzy as well as multi-criteria decision-making methodologies. Through decades of dedicated research, he has developed innovative models and frameworks that have influenced academic research and real-world applications across fields such as renewable energy, healthcare, transportation, and supply chain management. With more than 350 journal articles and 240 conference papers, his work has achieved global recognition, reflected in his exceptional Google Scholar H-index of 99. In addition to his prolific research output, he has served in key editorial positions for international journals, edited volumes published by Springer, and actively organized and chaired international conferences. A respected leader, mentor, and collaborator, Prof. Kahraman continues to shape the field of industrial engineering while fostering the growth of future generations of researchers worldwide.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile

Education

Prof. Cengiz Kahraman completed all of his higher education in industrial engineering at Istanbul Technical University, where he earned his bachelor’s, master’s, and doctoral degrees. His academic journey reflects consistent excellence and dedication to the advancement of engineering sciences. He pursued his Ph.D. in industrial engineering, where his research focused on decision-making methodologies, laying the foundation for his lifelong commitment to advancing multi-criteria and fuzzy decision-making theories. The depth of his education allowed him to bridge rigorous mathematical modeling with practical problem-solving approaches. His academic preparation equipped him to not only contribute to the body of theoretical knowledge but also to translate complex research ideas into solutions relevant to industry, government, and society. Over the years, his educational background has enabled him to become an influential teacher, mentor, and advisor, inspiring countless students to pursue excellence in research, critical thinking, and professional achievement in industrial engineering and decision sciences.

Experience

Prof. Kahraman has held extensive academic and administrative roles that demonstrate both his leadership and commitment to advancing education and research. At Istanbul Technical University, he rose through the academic ranks to become a full professor, where he has guided generations of students and supervised numerous graduate theses. His academic career is complemented by significant administrative responsibilities, including leadership positions such as Vice Dean of the Management Faculty, Head of the Industrial Engineering Department, and Advisor to the Rector. In addition to these institutional roles, he has been actively engaged in the global research community as a guest editor for international journals, member of more than 20 editorial boards, and organizer or chair of major conferences, including FLINS, RACR, FSSCMIE, and INFUS. These experiences highlight his ability to blend academic excellence with leadership, institution-building, and global collaboration, positioning him as a respected voice in both scholarly and professional circles.

Research Interests

Prof. Kahraman’s primary research interests lie in the fields of multi-criteria decision-making, fuzzy set theory, and their applications to real-world problems. He has pioneered methods in fuzzy and intuitionistic fuzzy decision-making, extending their use to diverse fields such as renewable energy planning, healthcare decision support, supply chain management, and transportation optimization. His work bridges theoretical modeling with applied problem-solving, enabling more accurate and flexible decision-making under uncertainty. He has also contributed significantly to statistical decision-making and quality control, integrating traditional industrial engineering methods with advanced computational approaches. In recent years, his interests have expanded into artificial intelligence and machine learning, particularly in integrating these technologies with decision sciences to address complex challenges in emerging fields. His interdisciplinary focus underscores his ability to create models and frameworks that not only advance theoretical knowledge but also contribute directly to addressing societal, environmental, and industrial problems on a global scale.

Awards and Honors

Prof. Cengiz Kahraman’s outstanding research contributions have earned him numerous awards, honors, and recognitions from both academic and professional communities. He has been invited as a keynote speaker at prominent international conferences and recognized as a leader in the field of decision sciences. His role as an editor of international books published by Springer and membership on editorial boards of over 20 journals are reflections of his academic prestige. Additionally, his high citation record, with an H-index of 99, demonstrates his wide-reaching influence and recognition within the scholarly world. He has served as a guest editor for several reputable journals, further consolidating his leadership in advancing specialized research domains. Beyond publications, his efforts in organizing and chairing conferences have earned him respect as a community leader who fosters research networks. These achievements collectively highlight his international reputation as a scholar of influence, innovation, and sustained academic excellence.

Research Skills

Prof. Kahraman possesses a unique combination of research skills that distinguish him as a leading authority in industrial engineering and decision sciences. His expertise lies in developing and applying advanced decision-making models, particularly in multi-criteria, fuzzy, and statistical methodologies. He demonstrates strong analytical and mathematical modeling skills, which allow him to create frameworks adaptable to uncertain and complex environments. His ability to bridge theory and practice is evident in his contributions to diverse domains, where his models have been applied to solve problems in energy systems, healthcare, supply chains, and finance. Beyond technical skills, he excels in research leadership, project management, and collaboration, working effectively with international teams to produce impactful results. His editorial and reviewing experience reflects his critical evaluation abilities and his role in shaping academic standards. Collectively, these research skills underline his status as a versatile scholar who advances knowledge while addressing real-world challenges.

Publication Top Notes

Title: Multi‐criteria supplier selection using fuzzy AHP
Authors: C. Kahraman, U. Cebeci, Z. Ulukan
Year: 2003
Citation: 1812

Title: Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey
Authors: C. Kahraman, U. Cebeci, D. Ruan
Year: 2004
Citation: 1228

Title: Spherical fuzzy sets and spherical fuzzy TOPSIS method
Authors: F. Kutlu Gündoğdu, C. Kahraman
Year: 2019
Citation: 1099

Title: Fuzzy multi-criteria decision making: theory and applications with recent developments
Authors: C. Kahraman
Year: 2008
Citation: 981

Title: Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul
Authors: T. Kaya, C. Kahraman
Year: 2010
Citation: 976

Title: A fuzzy optimization model for QFD planning process using analytic network approach
Authors: C. Kahraman, T. Ertay, G. Büyüközkan
Year: 2006
Citation: 915

Title: Fuzzy group decision-making for facility location selection
Authors: C. Kahraman, D. Ruan, I. Doğan
Year: 2003
Citation: 817

Title: Prioritization of human capital measurement indicators using fuzzy AHP
Authors: F. T. Bozbura, A. Beskese, C. Kahraman
Year: 2007
Citation: 714

Title: A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process
Authors: C. Kahraman, İ. Kaya, S. Cebi
Year: 2009
Citation: 653

Title: Fuzzy multicriteria decision-making: a literature review
Authors: C. Kahraman, S. C. Onar, B. Oztaysi
Year: 2015
Citation: 647

Title: Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process
Authors: O. Kulak, C. Kahraman
Year: 2005
Citation: 646

Conclusion

In conclusion, Prof. Cengiz Kahraman exemplifies the qualities of an outstanding researcher through his prolific academic output, influential leadership, and transformative contributions to industrial engineering and decision-making sciences. His research has not only advanced theoretical understanding but also provided innovative solutions to societal and industrial challenges. With his proven track record, global impact, and ongoing commitment to academic excellence, Prof. Kahraman is highly deserving of the Best Researcher Award. His future potential lies in continuing to shape the direction of decision sciences and inspiring the next generation of researchers worldwide.

Chongkai Wang | Decision Sciences | Best Researcher Award

Published on by Global Scholar Awards

Assist. Prof. Dr. Chongkai Wang | Decision Sciences | Best Researcher Award

Lecturer at China university of Mining and Technology (Beijing), China

Dr. Chongkai Wang is an Assistant Professor at the School of Management, China University of Mining and Technology (Beijing). He earned his Ph.D. in Management Science and Engineering from Tianjin University in 2023. His research focuses on the economics of information systems, information services, and platform development. Dr. Wang has published in prestigious journals such as Electronic Commerce Research and Applications, International Journal of Electronic Commerce, and IEEE Transactions on Engineering Management. His work has been featured in several conference proceedings, including the 2019 Pacific Asia Conference on Information Systems (PACIS2019) and the China Summer Workshop on Information Management (CSWIM) in 2019 and 2021. Dr. Wang is known for his contributions to the understanding of digital platforms and their economic implications, positioning him as a promising scholar in his field. His ongoing research continues to influence the academic community, making significant strides in information systems and management.

Professional Profile

Education

Dr. Chongkai Wang holds a Ph.D. in Management Science and Engineering, which he earned from Tianjin University in 2023. His doctoral studies provided him with a comprehensive foundation in the intersection of management, information systems, and engineering, laying the groundwork for his future research in these fields. Prior to his Ph.D., Dr. Wang completed his undergraduate and master’s studies, further honing his expertise in management and related disciplines. His academic journey has been marked by a strong focus on the economics of information systems, information services, and platform management. This background enables him to approach complex problems from both a theoretical and practical perspective. Dr. Wang’s educational achievements reflect his dedication to the advancement of knowledge in management science and his commitment to contributing to both academic theory and real-world applications, particularly in the realm of digital and information platforms.

Professional Experience

Dr. Chongkai Wang is currently an Assistant Professor at the School of Management, China University of Mining and Technology (Beijing), where he is actively involved in teaching and research. Since joining the university, he has contributed to the academic growth of students and colleagues alike, specializing in the economics of information systems and platform management. Prior to this role, Dr. Wang undertook rigorous research during his Ph.D. studies at Tianjin University, which provided the foundation for his current professional trajectory. His research has been published in renowned academic journals, such as Electronic Commerce Research and Applications, International Journal of Electronic Commerce, and IEEE Transactions on Engineering Management. Dr. Wang has also participated in key conferences like the 2019 Pacific Asia Conference on Information Systems (PACIS2019) and the China Summer Workshop on Information Management (CSWIM), showcasing his dedication to advancing research in his field. His professional experience blends academic rigor with a deep commitment to the information systems domain.

Research Interests

Dr. Chongkai Wang’s primary research interests lie in the economics of information systems, information services, and platform management. His work focuses on understanding the economic implications of digital platforms and how information systems can optimize services in various industries. He investigates how these systems and platforms can be designed, managed, and evaluated from an economic perspective, aiming to improve both efficiency and effectiveness. Dr. Wang’s research delves into the dynamics between information technology and business models, exploring the challenges and opportunities created by digital transformation. Additionally, his studies often address the role of platforms in facilitating information exchange, enabling innovation, and driving economic growth. His work has been featured in high-impact journals such as Electronic Commerce Research and Applications and IEEE Transactions on Engineering Management, contributing valuable insights into the intersection of management, technology, and economics. Dr. Wang continues to explore the evolving landscape of digital platforms and their economic impact.

Awards and Honors

Dr. Chongkai Wang has made notable contributions to the fields of management science and information systems, earning recognition for his academic achievements. While specific awards and honors are not listed in available sources, his research impact and academic standing demonstrate his growing influence. Dr. Wang’s publications in leading journals, such as Electronic Commerce Research and Applications, International Journal of Electronic Commerce, and IEEE Transactions on Engineering Management, reflect the quality and relevance of his work. His involvement in prestigious conferences, including the Pacific Asia Conference on Information Systems (PACIS) and the China Summer Workshop on Information Management (CSWIM), further underscores his academic prominence. As an assistant professor, he is also positioned to continue earning academic accolades for his innovative research on digital platforms and information systems. His ongoing contributions to the academic community promise future awards and honors in recognition of his expertise and leadership in his field.

Conclusion

Chongkai Wang demonstrates strong potential for the Best Researcher Award based on his solid academic background, impactful publications, and active involvement in leading academic conferences. His research contributions in the economics of information systems and service platforms are timely and have the potential for significant academic and practical influence. However, increasing the citation impact of his work and diversifying his research focus would further elevate his profile in the field. He is a promising candidate who continues to develop as an influential academic in his area of expertise.

Publications top noted

  • Sponsored Data: Cooperative Pricing and Subsidizing Strategies of Mobile Telecom Carriers and Internet Content Providers
    • Authors: Wang, C., Li, M., Feng, H., Feng, N.
    • Journal: IEEE Transactions on Engineering Management
    • Year: 2024
    • Citations: 3
  • When Should Competing Mobile Telecom Carriers Provide Sponsored Data Plans Under Cross-Side Network Effects?
    • Authors: Wang, C., Li, M., Feng, H., Feng, N.
    • Journal: International Journal of Electronic Commerce
    • Year: 2023
    • Citations: 0
  • Should Subscription-Revenue Internet Content Providers Adopt Sponsored Data Plans by Mobile Telecom Carriers in Duopoly Market?
    • Authors: Wang, C., Li, M., Feng, H., Feng, N.
    • Journal: Electronic Commerce Research and Applications
    • Year: 2021
    • Citations: 5

Shao-Jen Weng | Decision Sciences | Best Researcher Award

Published on by Global Scholar Awards

Prof. Shao-Jen Weng | Decision Sciences | Best Researcher Award

Dean at Tunghai University, Taiwan

Shao-Jen Weng (翁紹仁), born on October 24, 1975, is a prominent academic and researcher in the field of industrial engineering and enterprise information. He serves as the Dean of the College of Interdisciplinary Innovation at Tunghai University, Taiwan. With a focus on healthcare systems and optimization, Dr. Weng has made significant contributions to advancing knowledge in operational efficiency, patient safety, and smart healthcare. His leadership roles and extensive research portfolio position him as a key figure in shaping the future of industrial engineering and interdisciplinary innovation in Taiwan and beyond.

Professional Profile

Education

Dr. Weng earned his Ph.D. in Industrial Engineering from Arizona State University in 2008, specializing in Operations Research and Production Systems. His dissertation focused on developing a framework for efficient resource allocation in healthcare, which has had lasting implications in the field. Prior to his Ph.D., he completed his M.S. in Industrial and Management Systems Engineering at the University of Nebraska-Lincoln in 2004, emphasizing operations research and simulation. He holds a B.S. in Industrial and Management Systems Engineering from Chaoyang University of Technology, Taiwan, obtained in 1998. This strong educational foundation underpins his research and teaching endeavors.

Professional Experience

Dr. Weng has accumulated extensive experience in academia and research since joining Tunghai University in 2009, where he initially served as an Assistant Professor before advancing to Associate and then full Professor in 2020. He is also the Director of the Optimal Decision Systems Research Team and has been actively involved with the Healthcare Systems Consortium since 2017. As Dean of the College of Interdisciplinary Innovation since 2023, he has been instrumental in fostering interdisciplinary collaboration. His previous roles include research assistant positions at Arizona State University and industry experience as an industrial engineer, further enriching his academic and practical insights.

Research Interests

Dr. Weng’s research interests lie at the intersection of simulation optimization and healthcare systems. His work focuses on enhancing hospital systems, ensuring patient safety, and improving productivity and efficiency in healthcare environments. He is particularly interested in resource allocation and distributed decision systems, which are crucial for optimizing healthcare delivery. Additionally, Dr. Weng explores topics related to smart healthcare, which leverage technology and data-driven methodologies to improve health outcomes. His interdisciplinary approach ensures that his research addresses contemporary challenges in both industrial engineering and healthcare sectors.

Awards and Honors

Throughout his career, Dr. Weng has received numerous awards and honors that reflect his contributions to research and education. Notable recognitions include the Gold and Silver Awards from the Taiwan Institute for Sustainable Energy for his impactful work in sustainability, as well as the Outstanding Young Scholar Award from the National Science Council. He has been acknowledged for his excellence in industry cooperation and has received several teaching innovation awards. His commitment to advancing knowledge in healthcare systems has earned him the title of “Pioneer of Healthcare System Integration,” underscoring his influence in the field and dedication to improving healthcare delivery.

Conclusion

In conclusion, Shao-Jen Weng’s robust educational background, extensive research experience, and significant contributions to industrial engineering and healthcare position him as an outstanding candidate for the Best Researcher Award. His accomplishments reflect a commitment to innovation and excellence in his field. By addressing areas such as publication breadth and interdisciplinary collaboration, Dr. Weng could further enhance his impact and recognition in the research community.

Publication top noted

  • An innovative Hearing AED alarm system shortens delivery time of automated external defibrillator – A randomized controlled simulation study
    Authors: Chen, C.-Y., Che-Hung Tsai, J., Weng, S.-J., Chen, Y.-J.
    Year: 2024
    Citations: 0
    🔗 Published in: Resuscitation Plus, 20, 100781
  • The benefits of leisure activities on healthy life expectancy for older people with diabetes
    Authors: Huang, I.-W., Weng, S.-J., Liao, C.-H., Liu, S.-C., Tsai, Y.-T.
    Year: 2024
    Citations: 1
    🔗 Published in: Diabetology and Metabolic Syndrome, 16(1), 100
  • The effects of diabetes, hypertension and subsequent health control behavior on the survival of a Taiwan cohort aged over 50 years
    Authors: Huang, I.-W., Liu, S.-C., Weng, S.-J., Yang, H.-P., Tsai, Y.-T.
    Year: 2024
    Citations: 0
    🔗 Published in: Preventive Medicine Reports, 42, 102752
  • Dispatchers trained in persuasive communication techniques improved the effectiveness of dispatcher-assisted cardiopulmonary resuscitation
    Authors: Chen, Y.-J., Chen, C.-Y., Kang, C.-W., Tsai, Y.-T., Weng, S.-J.
    Year: 2024
    Citations: 1
    🔗 Published in: Resuscitation, 196, 110120
  • A Study on Decision-Making for Improving Service Efficiency in Hospitals
    Authors: Huang, S.-W., Weng, S.-J., Chiou, S.-Y., Liu, S.-C., Tsai, Y.-T.
    Year: 2024
    Citations: 0
    🔗 Published in: Healthcare (Switzerland), 12(3), 405
  • Real-Time Scheduling of Bed Resource Allocation to Improve Emergency Overcrowding
    Authors: Weng, S.-J., Chen, C.-H., Tsai, Y.-T., Liu, S.-C.
    Year: 2023
    Citations: 0
    🔗 Published in: Lecture Notes in Production Engineering, Part F1164, pp. 885–893
  • Event History Analysis of Factors Affecting Survival of Older Adults in Taiwan
    Authors: Lo, Y.-C., Hsu, W.-C., Weng, S.-J., Liu, S.-C., Lin, C.-H.
    Year: 2022
    Citations: 0
    🔗 Published in: Healthcare (Switzerland), 10(12), 2439
  • “Hearing AED integration program” – A innovative way to activate the emergency service system of community
    Authors: Chen, C.-Y., Huang, S.-K., Chen, Y.-J., Tsai, Y.-T., Weng, S.-J.
    Year: 2022
    Citations: 1
    🔗 Published in: Resuscitation, 181, pp. 10–11
  • A Comparison of Rehospitalization Risks on Diabetic and Non-Diabetic Patients after Recovery from Acute Coronary Syndrome
    Authors: Yang, H.-P., Weng, S.-J., Ho, Z.-P., Liu, S.-C., Tsai, Y.-T.
    Year: 2022
    Citations: 0
    🔗 Published in: Healthcare (Switzerland), 10(6), 1003
  • Decision support algorithms for optimizing surgery start times considering the performance variation
    Authors: Tsai, S.C., Lin, W.H., Wu, C.C., Weng, S.J., Tang, C.F.
    Year: 2022
    Citations: 1
    🔗 Published in: Health Care Management Science, 25(2), pp. 208–221