Faculty and Staff
Vibhuti Gupta’s vision is to develop the next generation of adaptive, scalable and resource efficient data analytics techniques that will be applicable on a variety of domains such as interactions in social media networks, tourism marketing, and health care. His discoveries lead to novel computational data driven health care solutions, efficient information retrieval from social media data sources for health care applications, and using mHealth wearable sensor data analytics for early detection of diseases and personalized health care solutions.
Previously, Dr. Gupta was a postdoctoral research fellow at the Choi Lab in the Department of Pediatrics, Hematology/Oncology Division at the University of Michigan Medical School. There, he focused on mHealth wearable sensor data analytics to identify significant biomarkers for early detection of post-transplant complications and toxicities associated with CAR-T cell therapy. He received his Ph.D. from Texas Tech University in 2019 where he worked with Prof. Rattikorn Hewett and his research focused on developing an adaptive and scalable Big stream data pre-processing approach that leverages AI techniques and is adaptable to different data rates and data types. He developed and taught the course programming and data analysis in MATLAB/R as an instructor in the Department of Computer Science at Texas Tech University. Before his academic career, he was a software engineer in India.
Developing scalable preprocessing and large-scale machine learning techniques for big data streams, data mining, natural language processing, information retrieval, application of deep learning in healthcare, distributed computing, and mHealth wearable sensor data analytics.