Busra Buran | Decision Making | Best Researcher Award

Dr. Busra Buran | Decision Making | Best Researcher Award

Research Scholar| Istanbul Technical University, Turkey

Dr. Büşra Buran, born on August 13, 1988, in Kocaeli, Turkey, is a prominent expert in management engineering with a career deeply rooted in public transportation strategy and optimization. She currently serves as the Head of Strategy Development at IETT, Istanbul’s public transport authority. With over a decade of professional experience, Dr. Buran has successfully led numerous projects involving strategic planning, quality management, service improvement, and international collaboration. Her academic achievements include a Ph.D. in Management Engineering from Istanbul Technical University, an M.Sc. in Industrial Engineering from Galatasaray University, and a B.Eng. in Industrial Engineering from Yıldız Technical University. Fluent in English, she combines technical expertise with leadership capabilities, supported by various certifications in project management, quality control, and innovation. Her work has been recognized internationally, and she actively contributes to research with several publications focusing on fuzzy logic applications, transportation models, and digital transformation strategies in public transit systems.

Profile

🎓 Education

Dr. Büşra Buran holds a robust academic background in industrial and management engineering. She completed her Ph.D. in Business Management Engineering at Istanbul Technical University (2018–2023), graduating with a GPA of 3.5/4. Her doctoral research focused on advanced decision-making methods and innovation in public transportation. Prior to that, she earned her Master of Science in Industrial Engineering from Galatasaray University (2010–2012), achieving a GPA of 3.5/4. She began her academic journey with a Bachelor’s degree in Industrial Engineering from Yıldız Technical University (2007–2010), graduating with distinction (3.4/4). Her academic excellence is complemented by certifications in project management, innovation, quality systems, and team leadership. Dr. Buran’s education is deeply integrated with applied engineering practices, statistical modeling (SPSS, Minitab), simulation tools (Simul8), and machine learning (R), equipping her with a strong foundation in both theory and practice. Her studies enabled her to apply analytical, technical, and managerial skills to large-scale public service systems.

🧪 Experience

Dr. Büşra Buran has extensive professional experience in the public transportation sector, primarily at IETT, Istanbul’s leading transit authority. Since 2017, she has been serving as the Head of Strategy Development, where she manages strategic planning, performance metrics, quality systems, corporate innovation, and international partnerships. From 2014 to 2017, she was the Manager of Service Improvement, leading the development of a service quality model, auditing standards, and benchmarking global practices. Between 2013 and 2014, she worked as the Manager of Operation Planning, handling performance analysis and optimization of bus networks, including collaborative projects with TÜBİTAK. Her career began in 2010 as a Consultant for Istanbul’s Bus Rapid Transit system, optimizing routes and managing training for international BRT implementations. She is experienced in project management, process auditing, KPI reporting, and digital transformation. Her leadership has significantly enhanced the efficiency and global standing of Istanbul’s public transport network.

🏅 Awards and Honors

Dr. Büşra Buran has consistently demonstrated academic and professional excellence throughout her career. She graduated with honors at every level—achieving GPAs of 3.4/4 in her undergraduate studies, 3.5/4 in her master’s, and 3.5/4 during her Ph.D. She has also been recognized for her contributions to transportation planning and quality improvement at IETT, receiving internal commendations for successful project outcomes and strategic innovations. Her scientific research on fuzzy logic applications in public transport and sentiment analysis during the COVID-19 pandemic has been published in prestigious journals and international conferences by Springer and Elsevier. She has also earned certifications in Project Management, Corporate Quality, Risk & Process Management, and Leadership Innovation, strengthening her credentials as a thought leader in urban mobility systems. Her scholarly achievements, combined with her impactful real-world projects, highlight her as a distinguished figure in engineering management and urban transportation.

🔬 Research Focus

Dr. Buran’s research centers on the intersection of engineering management, public transportation systems, and fuzzy decision-making models. Her Ph.D. work and subsequent publications explore advanced methodologies such as Spherical and Intuitionistic Fuzzy AHP, hybrid fuzzy systems, sentiment analysis, and business model frameworks tailored for urban transport. She has published widely on topics such as bus type selection, public transport quality modeling, and global benchmarking of transit business models. Her studies frequently employ machine learning and simulation tools like R and Simul8, along with statistical software for system optimization. A significant part of her work also delves into digital transformation, strategic innovation, and service efficiency in public bus systems, particularly in mega-cities like Istanbul. Her research not only contributes theoretical advancements in engineering management but also provides practical insights for decision-makers in transit agencies, enhancing transportation planning, passenger satisfaction, and sustainable mobility strategies.

Conclusion

Dr. Büşra Buran exemplifies the synergy between academic research and public sector innovation. With her strong background in industrial and management engineering, she has driven strategic advancements in Istanbul’s public transportation. Her work is a testament to effective leadership, data-driven decision-making, and continuous quality improvement in urban mobility systems.

Publications

Han Xi | Problem Solving | Best Researcher Award

Mr. Han Xi | Problem Solving | Best Researcher Award

Han Xi is a dedicated Lecturer at Huanghe Jiaotong University and a doctoral candidate in Traffic Engineering at Chongqing Jiaotong University (expected 2025), currently engaged in cutting-edge research on asphalt aging mechanisms and the development of anti-aging road materials. Since joining the academic faculty in 2020, Han has undertaken significant research, contributing to national-level projects such as the Henan Provincial Social Sciences Association Project. With published articles in reputed journals like Material Guide and Journal of Chongqing Jiaotong University, and patents addressing asphalt UV aging testing, Han’s work bridges theoretical innovation with practical engineering application. Passionate about infrastructure sustainability, she explores microstructural changes in asphalt due to UV exposure and seeks to enhance material performance through novel compositions. Her contributions extend to advancing scientific understanding and industrial applications in pavement material science. Han Xi exemplifies interdisciplinary innovation at the intersection of civil engineering and material science.

Profile

Education 🎓

Han Xi began her academic journey at Huanghe Jiaotong University in 2020 and was soon enrolled in the Contractual Doctoral Training Program in Traffic Engineering at Chongqing Jiaotong University in 2021. She is anticipated to complete her doctoral degree by June 2025. Her academic focus is on the intersection of materials science and transportation engineering, especially the impact of ultraviolet (UV) aging on asphalt materials. During her doctoral studies, Han has explored the structural and chemical evolution of asphalt subjected to environmental stressors, contributing to a deeper understanding of material degradation. She integrates theoretical analysis with experimental validation, utilizing advanced testing systems to study rheological and molecular transformations in aged road materials. Her educational path reflects a strong commitment to research excellence, practical innovation, and cross-disciplinary problem-solving, preparing her to address real-world engineering challenges with scientific rigor and methodological precision.

Experience 👨‍🏫

Since 2020, Han Xi has served as a Lecturer at Huanghe Jiaotong University, where she teaches and guides undergraduate students while actively conducting research in road materials engineering. Her experience includes managing a provincial research project and contributing to the design of experimental setups for asphalt aging analysis. Simultaneously, she has undertaken her PhD studies through a contractual training program at Chongqing Jiaotong University, balancing academic responsibilities with doctoral research. Han’s professional journey is marked by innovation, such as her development of patented UV aging testing devices for asphalt. She has presented and published scientific findings in peer-reviewed journals and engaged in collaborations that merge scientific inquiry with practical infrastructure solutions. Her dual roles in teaching and research have allowed her to inspire students while contributing significantly to advancements in road engineering, with a focus on environmental durability and material longevity

Research Interests 🔬

Han Xi’s research centers on the aging mechanisms of asphalt, particularly under ultraviolet (UV) radiation, with a goal of developing advanced, anti-aging road materials that improve pavement durability. She investigates the molecular structure changes, rheological behavior, and chemical transformations that occur during UV and coupled aging processes. Her work combines theoretical modeling with practical experimentation using custom-designed devices—evidenced by her two patented innovations—to simulate and measure asphalt degradation. Through her ongoing doctoral research at Chongqing Jiaotong University, Han examines the structure-activity relationship of aged asphalt and correlates macroscopic changes with microscopic composition. This research provides valuable insights for enhancing the lifespan of road infrastructure and supports the development of environmentally resilient transportation systems. Her scientific contributions aim to solve real-world problems in road engineering by integrating material science, environmental factors, and performance analytics into a unified research agenda focused on sustainable infrastructure.

Shui Yu | Reliability analysis and design optimization | Best Researcher Award

Dr. Shui Yu | Reliability analysis and design optimization | Best Researcher Award

Yu Shui is an Associate Researcher at the University of Electronic Science and Technology of China, with a Ph.D. in Engineering and extensive academic and research experience in reliability analysis, robust design, and AI-driven robotics. He has previously held postdoctoral and lecturer roles at UESTC and Southwest Jiaotong University, respectively. His research spans intelligent systems, robust optimization, and reliability engineering, with publications in top-tier journals like Reliability Engineering & System Safety. His academic path reflects a strong commitment to developing advanced models and frameworks for time-variant reliability design and intelligent algorithms. He is an active researcher contributing to the frontiers of artificial intelligence in engineering systems.

Profile

Education 🎓

Yu Shui completed both his Bachelor’s (2009.09–2013.06) and Ph.D. (2013.09–2019.06) degrees at the University of Electronic Science and Technology of China (UESTC), majoring in engineering fields related to system reliability and optimization. His academic training provided a rigorous foundation in theoretical modeling, numerical simulations, and intelligent systems. During his doctoral studies, he focused on reliability design and probabilistic modeling under uncertainty, incorporating machine learning techniques into engineering optimization. He worked under distinguished mentors, gaining expertise in both the practical and theoretical aspects of engineering reliability. His Ph.D. research laid the groundwork for innovative solutions to complex, real-world reliability issues using AI methods.

Experience 👨‍🏫

Yu Shui started his academic career with a postdoctoral position (2019.07–2021.07) at UESTC, focusing on intelligent algorithms in reliability systems. From 2021.07 to 2024.03, he worked as a Lecturer at Southwest Jiaotong University, where he led courses and supervised research in design optimization and AI applications. In March 2024, he returned to UESTC as an Associate Researcher, contributing to high-impact projects in robotics and reliability engineering. Throughout his career, he has collaborated on interdisciplinary projects involving surrogate modeling, dynamic pruning methods, and AI-driven design optimization, earning recognition for both teaching and research contributions.

Research Interests 🔬

Yu Shui’s research centers on reliability analysis, robust design, intelligent robotics, and artificial intelligence. He develops optimization frameworks and surrogate models to improve the performance and resilience of complex engineering systems. His work incorporates Bayesian regression, dynamic pruning, and demand-objective frameworks for time-variant reliability-based design. His interdisciplinary focus bridges engineering with machine learning, pushing the boundaries of how intelligent systems can manage uncertainty in design and operations. He is particularly interested in integrating AI techniques into robust mechanical systems to enhance reliability in real-world applications.

Publications
  • Empirical Examination of the Interactions Between Healthcare Professionals and Patients Within Hospital Environments—A Pilot Study

    Hygiene
    2025-05-08 | Journal article
    CONTRIBUTORS: Dimitris Charalambos Karaferis; Dimitris A. Niakas
  • Digitalization and Artificial Intelligence as Motivators for Healthcare Professionals

    Japan Journal of Research
    2025-01-01 | Journal article
    CONTRIBUTORS: Karaferis Dimitris; Balaska Dimitra; Pollalis Yanni
  • Workplace Violence in Healthcare: Effects and Preventive Measures and Strategies

    SunText Review of Case Reports & Images
    2024 | Journal article
    Part ofISSN: 2766-4589
    CONTRIBUTORS: Karaferis D; Balaska D
  • Enhancement of Patient Engagement and Healthcare Delivery Through the Utilization of Artificial Intelligence (AI) Technologies

    Austin Journal of Clinical Medicine
    2024-11-15 | Journal article
    Part of ISSN: 2381-9146
    CONTRIBUTORS: Department of Economic Science, University of Piraeus, Piraeus, Greece; Dimitris Karaferis; Dimitra Balaska; Department of Economic Science, University of Piraeus, Piraeus, Greece; Yannis Pollalis; Department of Economic Science, University of Piraeus, Piraeus, Greece