CTI Director

Dr. Sinha’s current research interests are in Artificial Intelligence, Machine Learning, Business Intelligence & Analytics, and Healthcare Informatics. During the last few years, he has collaborated on several applied research projects, which include: 1) developing a multiple-spell competing risk model for consumer website visits and identifying a window of opportunity for online salespersons; 2) investigating the influence of social media sentiment on stock returns; and 3) developing a domain-specific lexicon for clinical trial subject eligibility analysis in the breast cancer domain. He is currently collaborating on a project that examines the factors influencing hospital readmissions.

Faculty Affiliates

Faculty at the Lubar School of Business offer a breadth and diversity of expertise across the information technology field and are recognized among top IT researchers nationwide. With advanced training and doctorates from many of the country’s leading universities, CTI-affiliated faculty can assist businesses and other organizations with the unique IT challenges they face. Lubar faculty in IT, supply chain, and accounting also provide expertise in enterprise resource planning, with a specific focus on SAP.

• Cheng Chen
  Dr. Cheng Chen is collaborating on a project that investigates social TV activity by exploiting a large-scale television program, Super Bowl. In this project, he and his co-researchers examine the impact of television-program-induced emotional shocks and find a significant effect on the arousal and valence of viewers’ online word-of-mouth toward commercial ads. Their work provides clear and practical implications on media buying strategies for advertisers, as it suggests that advertisers and television networks should be cognizant of the emotional states of advertisements and programming content when placing ads, and aligning ad emotion with TV content emotion could render some synergies.
• Yang Wang
  Dr. Wang collaborates with online retailers and service providers and helps them develop artifacts that address various business problems. One project he has been involved in is the design of a product review platform for an outdoor gear and clothing retailer. By adding new review functions that allow buyers to evaluate the fit of apparel goods, the company obtained a significant drop in product return rates. The long-term goal is to build a fit profile for individual customers and make personalized product attribute-based recommendations.
• Huimin Zhao
  Dr. Zhao’s current research interests include data mining and healthcare informatics. His recent work focuses on patient hospital readmission risk and cost prediction, financial risk prediction for individuals and companies, crowdfunding success prediction, online review attractiveness prediction, and potential reviewer prediction, leveraging multimodal data from diverse sources.

CTI Faculty & Staff Affiliates

 

SAP Faculty & Staff Affiliates

 

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