Dariush Tahmasebi | Supply chain | Best Researcher Award

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Dr. Dariush Tahmasebi | Supply chain | Best Researcher Award

Dr. DariushTahmasebi at University of Tehran, Iran

Dr. Dariush Tahmasebi Aghbeleghi is an Assistant Professor in Business Management at the University of Tehran. With a strong academic background, he specializes in business policy, marketing, and strategic management. His research spans consumer behavior, artificial intelligence in business, and financial strategies. He has published in renowned international and national journals, contributing to advancements in business research. As an active academic, he has presented at international conferences, showcasing expertise in AI, e-commerce, and management. His commitment to research and teaching continues to impact the business and academic community.

Publication Profile

Google Scholar

Academic Background

Dr. Dariush Tahmasebi Aghbeleghi holds a Ph.D. in Business Management – Business Policy from the University of Tehran, where he developed expertise in strategic business planning. He earned an M.S. in Business Management – International Marketing from the University of Tehran, focusing on global market trends and consumer behavior. His academic journey began with a B.S. in Accounting from Kharazmi University, equipping him with strong financial and analytical skills. His multidisciplinary education in business strategy, marketing, and finance allows him to contribute significantly to both academia and industry.

Professional Background

Dr. Dariush Tahmasebi Aghbeleghi has extensive experience in business research, teaching, and consulting. As an Assistant Professor, he has mentored students and contributed to academic discourse in management and marketing. His research in consumer behavior, AI applications in business, and financial strategies has been recognized in top-tier journals. Additionally, he has presented at international conferences, discussing AI, digital marketing, and business innovations. With a background in accounting and finance, he has provided strategic insights for businesses. His interdisciplinary expertise enhances his ability to bridge academic theory with real-world applications.

Awards and Honors

Dr. Dariush Tahmasebi Aghbeleghi has been recognized for his contributions to business research and academia. His publications in high-impact journals have earned him academic recognition. He has been invited to prestigious international conferences, where his insights on AI in business and strategic management have been well received. His work on consumer behavior and financial strategies has influenced industry practices, leading to acknowledgments from academic institutions and business communities. His dedication to excellence in research and teaching continues to garner honors and respect in the field of business and management.

Research Focus

Dr. Dariush Tahmasebi Aghbeleghi’s research centers on business policy, marketing strategies, and AI applications in management. He explores consumer behavior in digital platforms, focusing on social commerce and brand perception. His work in pricing strategies for petrochemical and refining companies addresses financial decision-making and market trends. He is also actively involved in AI-driven business solutions, investigating how artificial intelligence enhances e-commerce and management practices. His multidisciplinary approach integrates psychology, finance, and technology, contributing to the advancement of business research and strategic innovation.

Publication Top Notes

🚗 The effect of brand equity and social capital on brand image (a study of Samand automobile brand)
📅 Year: 2018 | 🔗 Cited by: 17

🏦 Explaining the role of Tejarat bank’s strategic alliance with FinTechs in efficiency mediated by technological developments and digital banking
📅 Year: 2020 | 🔗 Cited by: 16

📢 The impact of political marketing tools in public participation (Case study: The citizens of region five in Tehran, Iran)
📅 Year: 2014 | 🔗 Cited by: 7

Conclusion

Dr. Dariush Tahmasebi Aghbeleghi is a dedicated researcher with a strong academic background in business management, international marketing, and accounting. His multidisciplinary expertise is reflected in his publications in international and national journals, covering areas such as consumer behavior, brand management, social commerce, AI applications in business, and financial strategies. His conference presentations on AI, IoT, and digital business demonstrate his commitment to emerging technologies. While his research output in 2024 and 2025 is active, further citation metrics and long-term impact on policy and industry would strengthen his candidacy for the Best Researcher Award.

 

Sebastian Paull| Supply Chain | Best Researcher Award

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Mr. Sebastian Paull| Supply Chain | Best Researcher Award

Mr. Sebastian Paull, University of Mannheim, Germany

Sebastian Paull is a highly qualified researcher in supply chain science, with expertise in probabilistic forecasting, stochastic optimization, and big data analytics. His research has practical relevance, offering decision-making improvements beyond traditional forecasting methods. His industry experience and leadership further validate his contributions. However, enhancing publication records and expanding interdisciplinary impact would further strengthen his candidacy.

Publication Profile: 

Orcid

Education & Training 🎓

Sebastian Paull is currently a doctoral candidate at the University of Mannheim (2020 – Present), focusing on integrating machine learning-based probabilistic forecasting and stochastic optimization into supply chain planning. He holds a Master of Science in Business Informatics (1.9) from DHBW Karlsruhe & EnBW (2016 – 2018) and a Bachelor of Science in Business Informatics (2.2) from the same institution (2012 – 2015).

 

Work Experience 💼

Sebastian has extensive experience in supply chain analytics, optimization, and IT risk assurance. Currently, he is a Lead Supply Chain Scientist at Aioneers (October 2023 – Present), where he leads an international data engineering team, facilitates cross-regional collaboration, and develops technology solutions for supply chain optimization. Previously, he worked as a Senior Supply Chain Scientist (April 2020 – September 2023), conducting demand forecasting, cluster analysis, and production optimization. His expertise in dashboarding and supply chain data modeling has helped organizations improve inventory management and reduce operational costs.,Earlier, he served as a Supply Chain Analyst at EY Mannheim (2020 – Present), focusing on demand forecasting, portfolio analysis, and IT risk assessment. Before that, as an IT Risk Assurance Consultant at EY Frankfurt (2018 – 2020), he optimized IT processes, ensured regulatory compliance, and advised businesses on secure technology adoption.

Research Focus 🔬🧪

Sebastian’s research bridges theory and practice in supply chain management, emphasizing ML-based probabilistic forecasting and stochastic optimization to address demand uncertainties. His work demonstrates the advantages of neural networks over traditional point forecasts, particularly in managing complex demand patterns. He provides practical, adaptable approaches to supply chain practitioners, advocating for a gradual transition from simpler models to probabilistic forecasting techniques to improve real-world decision-making.

Awards and Recognitions:

Sebastian has contributed to multiple high-impact projects in supply chain optimization and data science. His work has been recognized for enhancing supply chain performance, improving IT risk assurance, and developing advanced forecasting methodologies. His academic research and professional contributions position him as a leader in data-driven supply chain optimization.

Skills : 

Sebastian specializes in probabilistic forecasting, stochastic optimization, and big data processing. He has extensive experience with PySpark on Databricks, Pyomo for optimization modeling, and machine learning techniques for demand forecasting. His expertise extends to dashboarding and Business Intelligence tools, enabling data-driven decision-making in supply chain management.,Additionally, he is fluent in German (native), English (native), Swedish (C1), Spanish (B1), and French (A2).

 

Publication Top Notes

Machine Learning for Master Production Scheduling: Combining probabilistic forecasting with stochastic optimisation

Spinning gold from straw – evaluating the flexibility of data centres on power markets

 

Ginevra Addis | sustainability | Best Researcher Award

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Dr. Ginevra Addis | sustainability | Best Researcher Award

Research Fellow, UNIMIB, Italy

Ginevra Addis is an accomplished Adjunct Professor specializing in Contemporary Art Management at Università Cattolica del Sacro Cuore (UCSC) in Milan. With a dynamic career in academia and cultural heritage, she bridges the gap between art and enterprise. Ginevra is also the co-founder and Director of In.A.Hub, a non-profit organization dedicated to connecting contemporary art with innovative business practices. Her expertise extends to curating art exhibitions in Italy and Switzerland and working with global institutions like the United Nations and UNESCO. 🌍✨

Publication Profile

ORCID

🎓 Education

Ginevra holds a Ph.D. in Analysis and Management of Cultural Heritage from the IMT School for Advanced Studies, Lucca, obtained in 2019. She was a Visiting Ph.D. candidate at Humboldt Universität zu Berlin in 2018. She also earned an M.A. in Economics and Management of Art, Culture, and Entertainment from UCSC, Milan. 🎨📘

💼 Experience

Since 2017, Ginevra has been an Adjunct Professor at UCSC, contributing to courses on Project Management and Contemporary Art Systems. She has collaborated with the Department of History, Archaeology, and Art History at UCSC since 2014. She has curated multiple art exhibits, worked as an art consultant, and partnered with non-profit organizations like More Art in NYC. 🌟

🔬 Research Interests

Her research delves into American Abstract Expressionism, the Italian re-evaluation of Pop Art, the Eighties art scene, and artists like Jean-Michel Basquiat. She also examines Italian, German, and Russian Abstract Art, neuroscience in contemporary curatorship, and globalization’s impact on art systems. Additionally, she studies the South African art market and Russian art trends of the 20th century. 🌍🖌️

🏆 Awards

Ginevra has earned accolades for her work in academia and art curation, particularly through her impactful contributions to the intersection of contemporary art and global systems. 🏅

📚 Publications

The Re-identification of Pop Art: Its Reception from an Italian Perspective
Published Year: 2021
Publisher: European Press Academic Publishing
Cited by: Referenced in academic texts exploring the cultural dynamics of Pop Art reception.