Cengiz Kahraman | Decision Sciences | Best Researcher Award

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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.

Sheng-Hsueh Yang | Decision Sciences | Best Researcher Award

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Dr. Sheng-Hsueh Yang | Decision Sciences | Best Researcher Award

Disaster Prevention and Water Environment Research Center, Taiwan

Dr. Sheng-Hsueh Yang is an accomplished researcher in the field of hydraulic engineering, specializing in flood disaster prevention, sediment transport, and hydrological modeling. With over a decade of dedicated research experience at National Yang Ming Chiao Tung University, his work combines advanced technologies such as artificial intelligence, IoT-based monitoring, and big data platforms to enhance urban and riverine flood management systems. His interdisciplinary approach integrates civil engineering fundamentals with cutting-edge computing techniques to address climate-related disaster risks. Dr. Yang has authored several peer-reviewed journal articles and presented his research at internationally recognized conferences, reflecting his growing influence in the field. His contributions directly benefit infrastructure resilience, environmental safety, and sustainable urban development. With his combination of field expertise, academic excellence, and applied innovation, Dr. Yang continues to make significant strides toward modernizing water-related disaster response systems, making him a valuable figure in both national and international engineering communities.

Professional Profile 

Scopus Profile | ORCID Profile

Education

Dr. Sheng-Hsueh Yang holds an impressive academic background in civil and hydraulic engineering. He earned his Ph.D. from the Department of Civil Engineering at National Chiao Tung University, where his research focused on hydraulic dynamics and flood risk management. He also completed a Master’s degree in the same department, after obtaining a Bachelor’s degree from the Department of Hydraulic Engineering at Feng Chia University. Throughout his academic journey, Dr. Yang consistently excelled in applying theoretical principles to practical environmental challenges. His doctoral research laid the foundation for his expertise in fluid mechanics and cavitation, forming the basis of his later contributions to landslide dam assessment and flood modeling. This strong educational grounding provided him with the tools to integrate engineering with data science, now central to his current research on AI and IoT applications in water disaster systems. His education has been the cornerstone of his scientific rigor and applied innovation.

Experience

Dr. Yang’s professional experience spans over 15 years, demonstrating a clear trajectory of growth and specialization. He began his postdoctoral research fellowship at the Disaster Prevention and Water Environment Research Center of National Chiao Tung University, where he explored hydrological risk and monitoring systems. He advanced to the role of Assistant Research Fellow and later became an Associate Research Fellow at National Yang Ming Chiao Tung University. In these roles, Dr. Yang has led research on flood disaster prediction, hydrological observation, and AI-based analysis systems. He has played a central role in numerous interdisciplinary projects, integrating engineering, environmental science, and emerging technologies. His experience includes both theoretical model development and practical system deployment for urban flood control. His long-standing association with the same institution demonstrates not only his research consistency but also his leadership in developing Taiwan’s disaster resilience and hydrological monitoring capabilities.

Research Interest

Dr. Sheng-Hsueh Yang’s research interests lie at the intersection of hydraulic engineering, flood disaster prevention, and intelligent hydrological systems. He focuses on river and urban hydrology, sediment dynamics, and reservoir safety. His work is centered around the development of early warning and risk assessment systems through the integration of IoT sensor networks, big data analytics, and artificial intelligence, particularly in flood image recognition and real-time response. He is also deeply engaged in developing automated hydrological databases and AI-enhanced urban drainage solutions. His interest in fluid mechanics, especially in cavitation and mechanical flow using PIV (Particle Image Velocimetry), adds depth to his foundational engineering knowledge. Dr. Yang’s forward-looking research reflects a deep commitment to solving real-world environmental challenges, especially those posed by climate change and increasing urbanization. His multidisciplinary approach enables the creation of scalable, adaptive, and resilient flood prevention systems for communities globally.

Awards and Honors

While the provided data does not list specific awards or honors, Dr. Sheng-Hsueh Yang’s consistent presence at high-profile conferences such as the European Geosciences Union General Assembly and the International Conference on Urban Drainage suggests recognition within the international academic community. His repeated invitations to present cutting-edge research in Vienna and Delft are indicative of peer acknowledgment and thought leadership in the field of hydrological engineering. His papers published in respected journals like WATER, Natural Hazards, and Hydrology Research further underscore his growing academic stature. These achievements reflect professional recognition for his applied contributions to environmental safety, flood disaster mitigation, and intelligent water systems. Participation in international collaborations and contribution to interdisciplinary research projects can also be viewed as soft honors, as they require peer trust and technical excellence. Future applications or nominations for national research awards and global engineering honors would be a natural progression for a researcher of his caliber.

Research Skills

Dr. Yang possesses a diverse set of research skills that span both traditional civil engineering techniques and modern computational technologies. His core competencies include flood risk modeling, hydrological system simulation, sediment and river hydraulics analysis, and landslide dam breach assessment. Technically adept, he employs tools such as remote sensing, machine learning, AI-based image recognition, and IoT-enabled monitoring systems to improve prediction and early warning mechanisms. His expertise in fluid dynamics, especially through particle imaging velocimetry (PIV), gives him a granular understanding of flow behaviors in complex systems. Dr. Yang is skilled in interdisciplinary collaboration and project coordination, having worked on large-scale disaster prevention initiatives that integrate engineering with real-time data analytics. Additionally, his experience in publishing SCI-indexed articles and presenting at international conferences demonstrates strong communication and academic dissemination abilities. These well-rounded research skills enable him to lead innovative, impactful, and socially relevant engineering studies.

Publication Top Notes

Title: Artificial Intelligence Methodologies Applied to Prompt Pluvial Flood Estimation and Prediction

Authors: Chang, D.L., Yang, S.H., Hsieh, S.L., Wang, H.J., Yeh, K.C.

Journal: Water (Switzerland)

Publication Year: 2020

Citations: 33 (as noted)

Access: Open Access

Conclusion

Dr. Sheng-Hsueh Yang is a highly qualified and deserving candidate for the Best Researcher Award. His integrated expertise in hydraulic engineering, AI, and disaster prevention positions him at the intersection of infrastructure innovation and public safety. Through a decade-long career, he has demonstrated a clear commitment to impactful, applicable science, underpinned by solid academic training and international engagement. With continued global collaboration and increased publication visibility, he holds strong potential as a future research leader making significant contributions to both the scientific community and society at large.

Chongkai Wang | Decision Sciences | Best Researcher Award

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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

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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

Temitope Egbelakin | Decision Sciences | Best Researcher Award

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Prof Dr. Temitope Egbelakin | Decision Sciences | Best Researcher Award

Professor at The University of Newcastle, Australia

🎓Prof. Temitope Egbelakin is a distinguished academic and leader at the School of Architecture and Built Environment (SABE), University of Newcastle, Australia. With a focus on disaster resilience and construction management, she has significantly contributed to both research and teaching, enhancing the university’s international profile. Her extensive leadership roles within the university and professional communities have further solidified her reputation as a leading figure in her field.🌟

Professional profile

Education🎓

Prof. Egbelakin holds a Ph.D. in Civil Engineering from the University of Auckland, New Zealand (2013). She also earned an M.Sc. in Project Management from the National University of Singapore (2006), and another M.Sc. in Environmental Design in Architecture from the University of Lagos, Nigeria (2002). Her academic journey began with a B.Sc. in Architecture (Honors) from Obafemi Awolowo University, Nigeria (2000), and a Diploma in Architecture from the Federal Polytechnic of Ede, Nigeria (1997).

Professional Experience🏛️

Prof. Egbelakin’s career spans various roles, including her current position as a Professor at the University of Newcastle, New South Wales, Australia (2023 – Present). Her prior roles include Associate Professor and Executive Director at the same university, Senior Lecturer at Massey University, New Zealand, and a Senior Project Manager at the World Toilet Organization in Singapore. Her professional experience also includes consultancy and advisory roles in disaster resilience and infrastructure, contributing to both academia and industry.

Research Interest🔬

Prof. Egbelakin’s research focuses on disaster resilience and construction management, developing ‘real-world’ solutions for the built environment. Her work is multidisciplinary, aiming to enhance the resilience of communities and improve organizational performance in the construction sector. She is deeply involved in high-level end-user engagement and has secured substantial research funding to support innovative projects.

Awards and Honors🏆

Prof. Egbelakin has received numerous awards, including the Industry Engagement Award (2021) from the University of Newcastle, and multiple commendations for her research papers. She has been recognized internationally, including awards like the Highly Commendable Paper Literati Award (2020) and the Best Paper Award at the New Zealand Built Environment Researcher Symposium (2017). Her accolades reflect her exceptional contributions to research, industry engagement, and academic excellence.

Achievements 🌟
  • Research Excellence: Published over 50 peer-reviewed journal articles and conference papers in disaster resilience and construction management.
  • Leadership Roles: Served as Executive Director at the University of Newcastle, enhancing the university’s international profile in architecture and built environment.
  • Award-Winning Research: Received the Industry Engagement Award (2021) from the University of Newcastle and the Highly Commendable Paper Literati Award (2020).
  • Secured Research Funding: Successfully secured substantial research funding for innovative projects in disaster resilience and infrastructure.
  • Industry Collaboration: Led high-level end-user engagement projects, bridging the gap between academia and industry for practical, impactful outcomes.
  • International Recognition: Recognized globally for contributions to disaster resilience, including awards for best research papers at international symposiums.
  • Mentorship and Teaching: Guided numerous Ph.D. students and young researchers, contributing to the next generation of leaders in architecture and construction management.
  • Community Impact: Actively involved in projects aimed at enhancing community resilience and sustainable infrastructure development.
  • Editorial Roles: Served on the editorial boards of several prestigious journals in the field of built environment and disaster resilience.
  • Public Speaking: Delivered keynote speeches and presentations at international conferences, sharing insights on disaster management and sustainable construction practices.

 

Publications top noted📜

  • Contributions of the Circular Economy to the UN Sustainable Development Goals through Sustainable Construction
    • Authors: O.E. Ogunmakinde, T. Egbelakin, W. Sher
    • Year: 2022
    • Journal: Resources, Conservation and Recycling
    • Citations: 205
    • 🌍♻️🏗️
  • Efficacy of Adaptive Reuse for the Redevelopment of Underutilised Historical Buildings: Towards the Regeneration of New Zealand’s Provincial Town Centres
    • Authors: I.E. Aigwi, T. Egbelakin, J. Ingham
    • Year: 2018
    • Journal: International Journal of Building Pathology and Adaptation
    • Citations: 97
    • 🏛️🔄🏙️
  • Models for Predicting Project Performance in China using Project Management Practices Adopted by Foreign AEC Firms
    • Authors: F.Y. Ling, S.P. Low, S.Q. Wang, T. Egbelakin
    • Year: 2008
    • Journal: Journal of Construction Engineering and Management
    • Citations: 94
    • 📈📝🇨🇳
  • Lessons Learned from the Impact of COVID-19 on the Global Construction Industry
    • Authors: M. Ogunnusi, T. Omotayo, M. Hamma-Adama, B.O. Awuzie, T. Egbelakin
    • Year: 2021
    • Journal: Journal of Engineering, Design and Technology
    • Citations: 91
    • 🦠🏗️🌐
  • A Performance-Based Framework to Prioritise Underutilised Historical Buildings for Adaptive Reuse Interventions in New Zealand
    • Authors: I.E. Aigwi, T. Egbelakin, J. Ingham, R. Phipps, J. Rotimi, O. Filippova
    • Year: 2019
    • Journal: Sustainable Cities and Society
    • Citations: 81
    • 🏚️📊🔄
  • Business Resilience: A Study of Auckland Hospitality Sector
    • Authors: V. Tibay, J. Miller, A.Y. Chang-Richards, T. Egbelakin, E. Seville, S. Wilkinson
    • Year: 2018
    • Journal: Procedia Engineering
    • Citations: 80
    • 💼🌆💪
  • Emotional Intelligence and Transformational Leadership Behaviours of Construction Project Managers
    • Authors: E.M. Potter, T. Egbelakin, R. Phipps, B. Balaei
    • Year: 2018
    • Journal: Journal of Financial Management of Property and Construction
    • Citations: 75
    • 🤝🎯🏗️
  • Circular Economy Pillars: A Semi-Systematic Review
    • Authors: O.E. Ogunmakinde, W. Sher, T. Egbelakin
    • Year: 2021
    • Journal: Clean Technologies and Environmental Policy
    • Citations: 74
    • ♻️📚🌿
  • International and Local NGO Supply Chain Collaboration: An Investigation of the Syrian Refugee Crises in Jordan
    • Authors: S.A. Adem, P. Childerhouse, T. Egbelakin, B. Wang
    • Year: 2018
    • Journal: Journal of Humanitarian Logistics and Supply Chain Management
    • Citations: 66
    • 🤝🚚🆘
  • Challenges to Successful Seismic Retrofit Implementation: A Socio-Behavioural Perspective
    • Authors: T.K. Egbelakin, S. Wilkinson, R. Potangaroa, J. Ingham
    • Year: 2011
    • Journal: Building Research & Information
    • Citations: 61
    • 🌋🏢🔧

Richa Srivastava | Decision Sciences | Best Researcher Award

Published on by Global Scholar Awards

Dr. Richa Srivastava | Decision Sciences | Best Researcher Award

Associate Professor of Jaipuria Institute of Management, Lucknow, India

🎓 Dr. Richa Srivastava is a distinguished researcher with extensive expertise in fuzzy systems, Bayesian analysis, and statistical modeling. 📊 She has made significant contributions to the fields of cryptocurrency investment analysis, green cosmetic consumption, and pandemic-induced stress measurement. 🌐 Dr. Srivastava’s work has been published in several prestigious journals, including Technology in Society, the International Journal of Retail and Distribution Management, and the Journal of Public Affairs. 📚 Her research on Bayesian parameter estimation and model selection for gallbladder cancer data, as well as her studies on modified Weibull distribution and Dirichlet prior hyperparameters, highlight her versatility and depth of knowledge in statistical applications. 🏆 With a passion for both theoretical and applied statistics, Dr. Srivastava continues to influence the academic community and provide valuable insights into complex data analysis challenges. 🌟

Professional profile

Workshops and Seminars

Dr. Srivastava has organized and conducted numerous workshops and faculty development programs, showcasing her leadership and commitment to advancing knowledge in her field. Her role in organizing AICTE-sponsored programs indicates her ability to attract significant funding and engage a wide academic audience.

Professional Experience🏛️

Dr. Srivastava is currently an Assistant Professor at Jaipuria Institute of Management, where she has been since 2016. Her previous teaching roles at Babasaheb Bhimrao Ambedkar University and Lucknow University add to her extensive teaching experience.

Awards and Honors🏆

She has received several accolades, including the Best Faculty Award for Research Points and a cash prize for her paper at an international workshop. Her qualification in UGC-NET and JRF further attests to her academic prowess.

Publications top noted📜
  1. 📄 Analysis of barriers to investment and mining in cryptocurrency for traditional and tech-savvy investors: A fuzzy approach
    • 🖊️ Authors: Srivastava, R., Singh, D.K., Rana, N.P.
    • 📅 Year: 2024
    • 📜 Journal: Technology in Society, 77, 102546
    • 🔍 Citations: 0
  2. 📄 A fuzzy approach to determining antecedents to green cosmetic consumption in India
    • 🖊️ Authors: Srivastava, R., Sanjeev, M.A., Gupta, S.
    • 📅 Year: 2024
    • 📜 Journal: International Journal of Retail and Distribution Management
    • 🔍 Citations: 0
  3. 📄 Comprehending and measuring pandemic induced stress among professionals due to lockdown and work from home
    • 🖊️ Authors: Srivastava, R., Gupta, S., Sanjeev, M.A.
    • 📅 Year: 2022
    • 📜 Journal: Journal of Public Affairs, 22(S1), e2791
    • 🔍 Citations: 7
  4. 📄 Bayesian Parameter Estimation and Model Selection for Gallbladder Cancer Data of two Countries
    • 🖊️ Authors: Srivastava, R., Ranjan, R., Misra, H.
    • 📅 Year: 2022
    • 📜 Journal: Journal of Statistics Applications and Probability, 11(1), pp. 251–263
    • 🔍 Citations: 0
  5. 📄 A Hierarchical Bayes Analysis and Comparison of PH Weibull and PH Exponential Models for One-Shot Device Testing Experiment
    • 🖊️ Authors: Sharma, R., Srivastava, R., Upadhyay, S.K.
    • 📅 Year: 2021
    • 📜 Journal: International Journal of Reliability, Quality and Safety Engineering, 28(5), 2150036
    • 🔍 Citations: 2
  6. 📄 New modified Weibull distribution: Moment properties and Bayes analysis
    • 🖊️ Authors: Khan, M.A., Srivastava, R.
    • 📅 Year: 2019
    • 📜 Journal: Journal of Statistics Applications and Probability, 8(3), pp. 181–188
    • 🔍 Citations: 1
  7. 📄 Subjective elicitation of hyperparameters of a conjugate Dirichlet prior and the corresponding Bayes analysis
    • 🖊️ Authors: Srivastava, R., Upadhyay, S.K., Shukla, V.K.
    • 📅 Year: 2019
    • 📜 Journal: Communications in Statistics – Theory and Methods, 48(19), pp. 4874–4887
    • 🔍 Citations: 2