Liana Stanca
Babes-Bolyai University, Faculty of Economics and Business Administration, Department of Statistics-Forecasts-Mathematics, 58-60, Teodor Mihali str., 400591, Cluj-Napoca, Romania, and the Interdisciplinary Centre for Data Science, 68, Avram Iancu str., 400083, 4th floor, Cluj-Napoca, Romania
Babes-Bolyai University
About
Liana Stanca, Ph.D. Associate Professor, Business Information Systems Department,Faculty of Economics and Business Administration, Babeș-Bolyai University,Liana Stanca is an esteemed Associate Professor at the Business Information Systems Department at Babeș-Bolyai University. She is a dynamic member of the COST19130 network, focusing on Fintech and Artificial Intelligence in Finance, and the founder of Techeconomics, an event that seamlessly integrates the fintech industry with academic insights. Her academic passion revolves around the digital economy, artificial intelligence, and big data, with a specific interest in their transformative impact on various sectors, especially healthcare and finance. Her research spans a wide spectrum in Data Science and Artificial Intelligence, from theoretical foundations to their practical applications in the Digital Economy and Healthcare. Through Techeconomics, Stanca has created a vital platform for fostering collaboration between industry leaders and academic scholars, facilitating the exchange of ideas that drive innovation in fintech solutions. Her work is dedicated to enhancing the effectiveness and sustainability of economic and healthcare systems through the strategic application of AI and big data.
Key Achievements and Outputs
Liana Stanca has significantly contributed to the COST19130 network, focusing on Fintech and Artificial Intelligence in Finance. As the founder of Techeconomics, she has successfully bridged the gap between the fintech industry and academic research, fostering innovative collaborations that enhance both sectors. Her research in Data Science and Artificial Intelligence is multifaceted, spanning theoretical foundations to practical applications in the Digital Economy and Healthcare. Through her leadership, Techeconomics has become a pivotal event, catalyzing the exchange of cutting-edge ideas and advancing the application of AI and big data in economic and healthcare systems. Her work has not only led to advancements in fintech solutions but also improved the sustainability and effectiveness of these critical sectors.
Research Interests
My research delves into fascinating aspects of data science, blending econometrics with advanced data modeling and visualization techniques to uncover intriguing insights that push the boundaries of academic and industry knowledge.(Digital Economy: Optimization of economic activities through AI and big data.
Artificial Intelligence in Finance: Enhancement of financial forecasting, risk management, and customer experiences.
Data Science Applications: Practical applications of statistical and computational methods in real-world scenarios, particularly healthcare.
Healthcare Innovation: Use of AI for predictive healthcare, personalized medicine, and efficient resource management.
Transformative Impact on Sectors: Focus on the transformative effects of digital technologies on sectors such as healthcare and finance.)