My Focus

I am focusing my work on four main areas: Resources Optimization Applications, Sustainability Applications, Business Applications, and Digital Transformation and Innovation. My work integrates advanced data analytics, machine learning, and digital strategies to solve complex problems and drive innovation across various sectors.

Resources Optimization Applications:

Sustainability Applications:

My work in resources optimization is dedicated to enhancing efficiency and effectiveness in various industries. Notable projects include the development of optimization models for restaurant raw material stock and natural language processing data pipelines. I have also focused on improving customer service processes through video analytics and creating frameworks for water distribution management.

I have made significant contributions to sustainability focusing on healthcare and social applications, including the development of a data mesh paradigm for smart community monitoring and emotional speech classification for depressive patients. My research also addresses big data readiness assessment and the identification of insect transmission using advanced data techniques.

Business Applications:

Digital Transformation and Innovation Applications:

My research in business applications aims to leverage data analytics for improved decision-making and efficiency in commercial settings. This includes studies on customer behaviors in the metaverse, product categorization in e-commerce, and sentiment analysis from social media images. Additionally, I have developed models for predicting stock price trends and detecting low-quality signature fraud.


I have made significant contributions to digital transformationand Innovation where I explore the intersection of data strategy and modern data architecture. Projects in this area include data management frameworks for the metaverse, strategies for retail business in digital environments, and data-driven organizational measurements using data mesh architecture. My efforts aim to promote innovation practices through data solutions.