School of Data Science (SDS)

The faculty in the School of Data Science at UNC Charlotte engage in a wide range of research areas, contributing significant advancements in various domains of data science:

Bioinformatics and Computational Biology:

Faculty members like Cory Brouwer, Daniel Janies, and Jessica Schlueter focus on gene sequencing, computational biology, and plant pathologies. Their work integrates data science techniques with biological research, contributing to advancements in genomics and computational methods in biology.

Cybersecurity and Information Systems:

Researchers such as Bei-Tseng Chu and Mohamed Shehab concentrate on cyber security, digital image processing, and internet privacy. Their work is pivotal in enhancing data security and developing robust information systems.

Artificial Intelligence and Machine Learning:

Faculty including Damien P. Williams, David Wilson, and Jianping Fan explore areas of AI and machine learning, encompassing human-computer interaction, image analysis, and visual computing. Their research contributes to the development of intelligent systems and innovative machine learning algorithms.

E-Business and Information Technology Management:

Anthony Stylianou, Chandrasekar Subramaniam, and Douglas Hague are involved in research related to E-business, electronic commerce, and information systems management. Their work addresses the evolving role of data science in business and commerce.

Healthcare Management and Public Health:

Cem Saydam and Reginald Silver’s research in healthcare management and public health applies data science to improve healthcare delivery systems and public health analytics.

Ethics and Policy in Data Science:

Gordon Hull focuses on the ethical and policy aspects of data science, including big data ethics and European privacy law. This work is critical in guiding the responsible use of data and AI.

Consumer Behavior and Marketing:

Research by Sangkil Moon and Sunil Erevelles in consumer behavior and marketing bridges data science with consumer insights, exploring how data informs understanding of market trends and consumer preferences.

Energy and Environmental Studies:

Tao Hong’s work in energy forecasting and power systems applies data science methods to energy sector challenges, emphasizing sustainable and efficient energy management.

Computational Design and Architecture:

Eric Sauda and Mary Maher work on computational design and human-computer interaction within architecture and design, exploring the integration of digital technologies in the built environment.

Statistical Analysis and Data Visualization:

Kalpathi Subramanian, Wlodek Zadrozny, and Zachary Wartell focus on statistical modeling, interactive visualization, and data representation. Their research enhances the ability to interpret complex data sets and facilitates better decision-making processes.

Each of these areas represents a vital aspect of the School of Data Science’s research portfolio, showcasing the faculty’s commitment to advancing knowledge and innovation across various domains of data science.