Dr.is currently an assistant professor of data analysis and artificial intelligence at Oklahoma City University in the United States. He holds a dual master's degree in information systems, data analysis, and information systems, and his research focuses on fields such as health information technology (Health IT), predictive analytics, decision support systems, wearable technology, human activity recognition, and mobile health (mHealth).
Dr.is skilled in applying artificial intelligence (AI) and data science methods to practical problems such as healthcare, population health, and social media mining. His research achievements cover multiple directions, including AI in chronic disease management, medical intervention design, healthcare insurance optimization, and the impact of the digital divide on health. He has worked in research and teaching at institutions such as Dakota State University and Indiana University School of Business, participating in or leading multiple research projects based on medical and health data. He has extensive experience in interdisciplinary research and industry academia collaboration.
Dr. Ambati is active in the academic community of information systems and data science in North America. He has won the Best Paper Award from the Midwest Information Systems Association (MWAIS) and served as a reviewer for multiple international conferences (such as AMCIS and MWAIS) and journals. He has a broad international perspective, stable research output, and good communication and collaboration skills. He currently serves as a guidance advisor for the OCU Indian Student Association, dedicated to promoting international student exchange and academic cultural integration.
Possible cooperation solutions available
1. Collaborative research on health data between China and the United States
Co build AI model for prediction and management of chronic diseases (diabetes, hypertension, etc.)
Effectiveness analysis of digital health interventions based on big data (such as remote follow-up and personalized health advice)
Jointly develop an mHealth platform evaluation system applicable to the behavioral characteristics of patients in China and the United States
2. Joint research and development of wearable devices and mobile health platforms
Collaborate with Chinese universities/enterprises to design health tracking devices and apps, optimize data collection and feedback mechanisms
Research on Embedded AI System for Devices Integrating Human Activity Recognition Algorithm (HAR) and Health Status Prediction Model
Jointly conduct clinical trials to evaluate the effectiveness of behavioral interventions based on wearable devices
3. Implementation consulting of AI in hospital operation optimization
Intelligent transformation of hospital processes: patient flow prediction, resource scheduling optimization, and construction of refusal warning system
Medical insurance analysis and construction of medical insurance scoring models (such as RAF scoring)
Provide AI solution implementation framework and data preparation recommendations (including data privacy compliance)
4. Joint application for international scientific research projects and joint training of students
Jointly apply for the National Natural Science Foundation of China Sino foreign Cooperation Project, NSFC-NSF and other international funds
Jointly guide master's and doctoral students from China and the United States to conduct interdisciplinary research on AI+health
Receive Chinese university students for short-term scientific research exchanges or remote internships in the United States