Center for Smart Healthcare and Social Innovation
The Center of Excellence for Smart HealthCare and Social Innovations (C-SHSI) at LNMIIT Jaipur is a multidisciplinary research initiative focused on advancing intelligent healthcare solutions using artificial intelligence, machine learning, and deep learning. The center addresses key challenges in healthcare diagnostics, disease prediction, medical data analysis, and smart health monitoring through innovative, data-driven approaches. In addition to smart healthcare, C-SHSI aims to develop technology-driven solutions that facilitate social innovations for the common good of society. By fostering collaboration among academia, industry, and healthcare stakeholders, the center is committed to delivering robust, scalable, and socially impactful solutions for diverse and resource-constrained environments.
Aim
- To advance AI/ML/DL-driven smart healthcare research and develop robust, scalable, and cost-effective solutions for real-world and resource-constrained environments.
- To enable social innovations for the common good by addressing societal and healthcare challenges through technology-driven approaches.
- To foster interdisciplinary collaboration, training, and translation of research involving academia, industry, healthcare stakeholders, and policymakers.
Vision
The vision of the Center of Excellence for Smart HealthCare and Social Innovations (C-SHSI) at LNMIIT Jaipur is to become a leading hub for innovation, research, and translation of intelligent technologies that transform healthcare and drive positive social change. The center envisions harnessing artificial intelligence, machine learning, and deep learning to create accessible, reliable, and impactful solutions that improve healthcare outcomes and societal well-being. Thus, by integrating technological excellence with social responsibility, C-SHSI aims to address real-world challenges, empower communities, and contribute to sustainable development for the common good.
Mission
- To conduct cutting-edge research in smart healthcare and social innovation using artificial intelligence, machine learning, and deep learning.
- To develop and deploy scalable, robust, and socially impactful solutions that address real-world healthcare and societal challenges.
- To foster collaboration, capacity building, and knowledge transfer among academia, industry, healthcare institutions, and the broader community.
Industrial Collaborations
Center Leads
Faculty Members
Dr. Aloke Dutta
Assistant Professor
Computer Science and Engineering
Dr. Ankit Jha
Assistant Professor
Computer Science and Engineering
Dr. Nitesh Pradhan
Assistant Professor
Computer Science and Engineering
Dr. Nikunja Bihari Kar
Assistant Professor
Computer Science and Engineering
Dr. Rahul Sharma
Assistant Professor
Computer Science and Engineering
Dr. Upendra Pratap Singh
Assistant Professor
Computer Science and Engineering
