Ke Cui | Business Management and Accounting | Best Researcher Award

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Dr. Ke Cui | Business Management and Accounting | Best Researcher Award

Student | Liaoning University | China

Dr. Ke Cui is a rising scholar in the field of economics with a multidisciplinary academic background combining management and economic theory. With a strong foundation in accounting and advanced research in national and regional economic systems, she has developed a unique analytical approach to socioeconomic development, industrial transformation, and policy reform. Her academic journey reflects a consistent commitment to combining empirical research with policy-oriented thinking, particularly focusing on Northeast China’s industrial revitalization and rural development.

Professional Profile

Scopus

Education

Dr. Cui obtained her Bachelor’s degree in Accounting from Northeast Forestry University, She later pursued a Master’s degree in National Economics at Liaoning University, where she further deepened her understanding of macroeconomic policy and regional development. Throughout her academic career, she has demonstrated outstanding leadership and academic excellence, receiving scholarships and engaging actively in student governance.

Experience

Dr. Cui has held several influential student leadership roles, including serving as the Youth League Secretary at both Northeast Forestry University and Liaoning University. She also contributed to the university choir as the lead piano accompanist, demonstrating versatility beyond academia. Professionally, she interned at JD.com’s Government and Enterprise Division, where she gained firsthand experience in market operations, organizational strategy, and e-commerce economics, which further solidified her interest in practical economic applications and policy implementation.

Research Interests

Dr. Cui’s research focuses on regional economic revitalization, agricultural modernization, and industrial upgrading, with a special emphasis on “new quality productive forces” in Northeast China. Her scholarly work investigates the transformation of traditional industries and the integration of digital technologies into regional economic models. Additionally, she has conducted in-depth studies on the social dynamics of student-parent relationships, rural development mechanisms, and urban-rural integration strategies, reflecting her comprehensive and interdisciplinary research approach.

Honors

Dr. Cui’s academic excellence has been recognized through numerous awards. She received the University-Level First-Class Scholarship at Liaoning University, as well as the Third-Class Scholarship at Northeast Forestry University. Her leadership and civic involvement earned her titles such as “Model Youth League Leader,” “Outstanding Student Cadre,” and “Outstanding Volunteer” (First Prize). She also holds several professional qualifications, including the ITPT E-commerce Specialist Certificate, the Fund Practitioner License, and the Banking Professional Qualification Certificate, which complement her academic expertise with practical competencies.

Top Noted Publication

Title: Information barrier, audit quality, and organizational resilience
Index: Finance Research Letters
Year of Publication: 2025

Conclusion

Dr. Ke Cui exemplifies a new generation of interdisciplinary economists dedicated to regional development and policy innovation. Her academic journey, enriched by leadership, research, and applied fieldwork, positions her as a promising scholar in economic transformation and modernization strategies. Her published work and contributions to government-backed research projects underscore her ability to integrate theoretical knowledge with real-world solutions. Dr. Cui continues to pursue impactful academic and policy-driven research with the potential to shape regional economic reform and sustainable development.

Sarah Marzen | Data Science | Best Researcher Award

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Prof. Sarah Marzen | Data Science | Best Researcher Award

Associate Professor | Keck Graduate Institute, Claremont | United States

Professor Sarah Marzen is a prominent physicist and interdisciplinary researcher based at the W. M. Keck Science Department, representing Pitzer, Scripps, and Claremont McKenna Colleges in California. With a strong foundation in theoretical physics and complex systems, she is widely recognized for her research at the intersection of information theory, neuroscience, and machine learning. Her work explores how biological and artificial systems perceive, predict, and adapt to their environments. Through academic excellence and a commitment to scientific inquiry, she has established herself as a respected voice in computational neuroscience and resource-rational modeling

Professional Profile

Scopus | Google scholar

Education

Professor Marzen earned her Ph.D. in Physics from the University of California, Berkeley, where she conducted pioneering research on “Bio-inspired problems in rate-distortion theory” under the mentorship of Professor Michael R. DeWeese. Prior to her doctoral studies, she completed a Bachelor of Science degree in Physics at the California Institute of Technology (Caltech), reflecting an early and consistent commitment to scientific excellence. She has also participated in several prestigious summer schools and professional development programs, including the Santa Fe Institute’s Complex Systems School and the MIT Kauffman Teaching Certificate Program.

Experience

Dr. Marzen currently serves as Associate Professor of Physics at the W. M. Keck Science Department. Prior to this, she served as an Assistant Professor at the same institution . Her earlier career includes a postdoctoral fellowship at the Massachusetts Institute of Technology, where she collaborated with Professors Nikta Fakhri and Jeremy England. Her teaching experience is complemented by her role as a Seminar XL/LE Facilitator at MIT, underscoring her dedication to student engagement and mentorship.

Research Interests

Professor Marzen’s research focuses on sensory prediction, reinforcement learning, resource rationality, and the integration of information theory with biological systems. She investigates how both living and artificial neural systems process and respond to information in complex, dynamic environments. Her interdisciplinary approach spans computational modeling, machine learning theory, and theoretical neuroscience. She is currently involved in major research initiatives, including an Army Research Laboratory MURI project centered on hybrid biological-artificial neural networks and a series of workshops supported by the Sloan Foundation and Carnegie Institute

Honors

Dr. Marzen has received numerous recognitions for her academic contributions, including serving as Principal Investigator (PI) or Co-PI on several major research grants. Within her institution, she has held key service roles such as membership on the Executive Committee, DEI Committee, and Data Science Curriculum Coherence Committee, reflecting her leadership in fostering academic inclusivity and interdisciplinary learning.

Top Noted Publications

Title: Statistical mechanics of Monod–Wyman–Changeux (MWC) models
Citation: 128
Year of Publication: 2013

Title: On the role of theory and modeling in neuroscience
Citation: 100
Year of Publication: 2023

Title: The evolution of lossy compression
Citation: 65
Year of Publication: 2017

Title: Informational and causal architecture of discrete-time renewal processes
Citation: 46
Year of Publication: 2015

Title: Predictive rate-distortion for infinite-order Markov processes
Citation: 45
Year of Publication: 2016

Conclusion

Professor Sarah Marzen is a highly accomplished academic whose innovative research bridges physics, neuroscience, and artificial intelligence. Her work advances our understanding of how systems learn, adapt, and make decisions under constraints, with implications for both scientific theory and technological development. Through her leadership, mentorship, and scholarly impact, she continues to shape the future of interdisciplinary research and education. Her academic rigor, commitment to collaboration, and visionary research make her a key contributor to the global scientific community.

Assoc. Prof. Dr Sadullah Çelik | Quantitative Decision Methods | Best Academic Researcher Award |

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Assoc. Prof. Dr. Sadullah Çelik | Quantitative Decision Methods | Best Academic Researcher Award

Aydın Adnan Menders University,Turkey

Assoc. Prof. Dr. Sadullah Çelik is a dynamic academician specializing in international trade, finance, and quantitative decision-making. With a strong foundation in mathematics and econometrics, he brings a multidisciplinary perspective to business and economic sciences. He is currently serving as a faculty member at Aydın Adnan Menderes University, Faculty of Economics and Administrative Sciences, Department of International Trade and Finance. Known for his dedication to teaching, research, and academic leadership, Dr. Çelik has contributed significantly to the development of innovative curricula and the advancement of data-driven decision-making in international business contexts.

profile

Scopus

Orcid

Google scholar

Education

Dr. Çelik earned his Bachelor’s degree in Mathematics from Celal Bayar University (2007–2011), followed by a Master’s degree in Geometry from Ege University, Institute of Science (2011–2013). He later pursued a Ph.D. in Econometrics from Uludağ University, Institute of Social Sciences (2013–2018), solidifying his expertise in statistical and econometric analysis. Demonstrating intellectual versatility, he also completed an associate degree in Opticianry from Ege University’s Atatürk Vocational School of Health Services.

Experience

Dr. Çelik began his academic career as a Research Assistant in the Department of Econometrics at Adnan Menderes University (2014–2021). He later joined the Department of International Trade and Finance, where he was promoted to Doctor Lecturer (2022) and subsequently to Associate Professor (2023). He has also served as the Vice Chair of the Department, showcasing his leadership abilities in academic management and curriculum development. His extensive teaching portfolio includes undergraduate and graduate-level courses such as Econometrics, Research Methods, E-commerce, International Business, and Innovation Management.

Research interest

Dr. Çelik’s primary research interests lie in Quantitative Decision Methods, Data Analytics, Business Statistics, and International Trade and Finance. His work bridges the analytical rigor of mathematics and econometrics with practical applications in global business environments. He is especially interested in how data-driven strategies can enhance international business operations, risk analysis, and financial decision-making processes.

Awards

Dr. Çelik has achieved notable academic milestones, including his appointment as Associate Professor in 2023, marking a significant recognition of his scholarly contributions. His continuous academic promotions—from Research Assistant to Associate Professorship—reflect his commitment to excellence in research, teaching, and service. While specific national or international awards are not detailed, his academic progression itself is a testament to merit and recognition within the Turkish higher education system.

Publications

1. Big Data and Data Visualization by S. Çelik and E. Akdamar, published in Academic Perspective International Refereed Journal of Social Sciences, Issue 65, pages 253–264, in 2018, has received 32 citations.

2. Analyzing Shakespeare’s Corpus with Text Mining by S. Steel, published in MANAS Journal of Social Studies, Volume 9, Issue 3, pages 1343–1357, in 2020, has been cited 17 times.

3. The Importance of Big Data Technologies for Businesses by S. Steel, published in Social Sciences Studies Journal, Volume 3, Issue 6, pages 873–883, in 2017, has accumulated 14 citations.

4. Big Data by S. Steel, published by Night Library, publication number 25931, page 176, in 2018, has received 13 citations.

5. High-frequency Words Have Higher Frequencies in Turkish Social Sciences Articles by N. Gursakal, S. Çelik, and S. Özdemir, published in Quality & Quantity, Volume 57, pages 1865–1887, in 2023, has received 7 citations.

Conclusion

In summary, Assoc. Prof. Dr. Sadullah Çelik is a well-rounded academic with a robust educational background, a strong teaching record, and a research portfolio focused on the intersection of data analytics and international business. His career reflects both depth and breadth in the social sciences, with an emphasis on analytical precision and practical application. With further expansion into international publications and collaborative research, Dr. Çelik is poised to make even greater contributions to academia and the global business research community.

Ms Lara Pörtner | Data Management | Best Researcher Award |

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Ms. Lara Pörtner | Data Management | Best Researcher Award | 

PhD Student , at Université Grenoble Alpes, Germany.

Lara Pörtner is a researcher and industry expert specializing in digital strategy, data analytics, and industrial engineering. With a strong academic foundation and professional experience in master data governance, she bridges the gap between research and real-world applications. Fluent in multiple languages, she has worked on international projects in data strategy, innovation management, and digital transformation.

Professional Profile

Scopus

Education 🎓

Lara is currently pursuing a PhD in Digital Strategy at Université Grenoble Alpes, France (2022–2025), where she focuses on developing customer-specific reference models for optimizing data strategies using maturity analysis methods. She holds a double master’s degree (M.Sc. Industrial Engineering and Management) from Karlsruhe Institute of Technology (KIT), Germany, and Institute National Polytechnique Grenoble (G-INP), France, with a specialization in innovation management, digitalization, and automotive engineering. Her academic journey began with a B.Sc. in Industrial Engineering and Management from KIT (2016–2020), where she built expertise in supply chain management, strategy, and organization.

Professional Experience 💼

Lara has held multiple roles in leading organizations across data & analytics, digital transformation, and strategy consulting. She started her career as an intern and working student in Master Data Management at cbs Corporate Business Solutions (2020–2021), where she supported SAP MDG system implementations. She later joined CAMELOT Management Consultants AG (2022–2024) as a Senior Consultant, contributing to SAP MDG BP implementation, process design, user training, and data strategy assessments. Currently, she is a Senior Associate in Data & Analytics at PricewaterhouseCoopers (PwC), Munich (2025–present), focusing on enterprise-wide digital strategy initiatives. Her industry experience is complemented by her early research work as a Student Assistant at wbk Institute of Production Tech., Karlsruhe Institute of Technology (2020), and an internship in Strategy & Innovation Management at Lufthansa Cargo AG (2018).

Research Interests 🌍

Her research primarily revolves around digital strategy, data analytics, and master data governance. She works on designing advanced methodologies for data maturity assessment, enabling organizations to optimize data-driven decision-making. Her work integrates elements of machine learning, enterprise data management, and business process optimization, contributing to the evolution of digital transformation frameworks.

Awards & Honors 🏆

Lara has received several prestigious recognitions, including the DLR Graduate Program (2022–2024), demonstrating her involvement in high-impact research. She was selected for the Accenture Female Talent Program (2021), highlighting her leadership potential in the tech and consulting space. Early in her academic career, she secured 2nd place in the Jugend Forscht competition (2016), showcasing her research abilities. She also holds professional certifications such as SCRUM Master, SAFe 6 Agilist, and LEAN Basic Certificate.

Top Noted Publications 📚

Title: Data Literacy Assessment – Measuring Data Literacy Competencies to Leverage Data-Driven Organizations
Authors: Lara Pörtner, Andreas Riel, Vivian Klaassen, Dilara Sezgin, Ysaline Kievits
Citations: 0

Conclusion

Lara Pörtner has an impressive profile with a strong academic foundation, industry research experience, and technical expertise in data strategy and analytics. If the award prioritizes applied research, digital strategy, and industry impact, she is a strong candidate. However, if the focus is on academic publications and fundamental research contributions, she may need to enhance her research output to improve her chances.

Dr M sangeetha | Operations research | Excellence in Research Award |

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Dr. M sangeetha | Operations research | Excellence in Research Award | 

Professor, at Dr.N.G.P.Arts and Science college , India.

Dr. M. Sangeetha is a Professor of Mathematics with over 22 years of teaching experience and 7 years of dedicated research in Fuzzy Operations Research. She has a strong academic foundation, with expertise in mathematical modeling, optimization techniques, and decision-making processes. Her research contributions, publications, and mentorship of Ph.D. scholars demonstrate her commitment to advancing mathematical sciences.

Professional Profile

Scopus

Education 🎓

Dr. Sangeetha holds a Ph.D. in Mathematics from Chikkanna Government Arts College, Tirupur (2018). She completed her M.Phil. (2009) and M.Sc. (2001) in Mathematics from Government Arts College, Coimbatore. Additionally, she earned a B.Ed. in Mathematics (2010) from St. Marks B.Ed. College and a Postgraduate Diploma in Operations Research (PGDOR, 2015) from Nirmala College for Women, Bharathiar University. She has also completed online certifications in Graph Theory (NPTEL, 2020) and Basics of Python (Infosys Springboard, 2022), showcasing her commitment to continuous learning.

Professional Experience 💼

With 22+ years of college teaching experience, Dr. Sangeetha has been instrumental in shaping the careers of numerous students. She has also mentored 6 Ph.D. scholars (2 submitted synopsis, 6 ongoing), 1 M.Phil. student, and multiple M.Sc. research projects. Her role as an educator extends beyond teaching, fostering a research-driven academic environment.

Research Interests 🌍

Dr. Sangeetha specializes in Fuzzy Operations Research, focusing on fuzzy transportation problems, multi-objective optimization, and intuitionistic fuzzy systems. Her work contributes to decision-making models, logistics, and applied mathematics, addressing real-world challenges through advanced computational techniques and mathematical frameworks.

Awards & Honors 🏆

Dr. Sangeetha has been recognized for her contributions to research and academics. Her work has been published in Scopus-indexed journals, reflecting her commitment to high-quality research. She has also played a significant role in mentoring Ph.D. scholars and guiding research projects, contributing to the academic growth of her institution.

Top Noted Publications 📚

Dr. Sangeetha has authored several research papers in Scopus-indexed journals, focusing on fuzzy logic, transportation problems, and optimization techniques. Some of her notable publications include:

Fuzzy Largest Cost Entry Method of Transportation Problem Using Heptagonal Fuzzy Numbers (Nonlinear Studies, Scopus-indexed)

Multi-Objective Fuzzy Fully Linear Programming Transportation Problem (Mathematical Sciences International Research Journal, Scopus-indexed)

Similarity Measure Model in Intuitionistic Fuzzy Transportation Problem (IJPAM, Scopus-indexed)

Conclusion

Dr. Sangeetha has a strong foundation in research, publications, and mentorship, making her a deserving candidate for the Excellence in Research Award. Strengthening international collaborations, increasing high-impact publications, and securing research grants will further enhance her profile.