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Academic Innovations

Academic Innovations

Department of Science and Technology (DST) has taken several new initiatives for promoting innovation, supporting cutting-edge research, attracting the youth towards science, improving the ease of doing science, and fostering international collaborations. The department has aligned its activities with the National Agenda of the Government towards Make in India, Startup India, Digital India, Swachh Bharat, Swasth Bharat, etc, and has moved ahead with several achievements.

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Title of Innovation Innovator's Name Research Area Implementing Organization Funding Organization
The Charak Center for Digital Healthcare focuses on advancing translational research to strengthen India’s digital health ecosystem. It collaborates closely with clinicians, researchers, and industry to develop scalable, patient-centric digital health solutions. Its work spans AI-driven diagnostics, remote monitoring, and clinical decision support systems, aimed at improving healthcare accessibility and outcomes. Dr. Vibhor Pandhare Indian Institute of Technology (IIT), Indore, Madhya Pradesh, Madhya Pradesh Department of Science and Technology (DST)
The project focuses on developing Simuliware, a digital twin-based, cost-effective indigenous shop floor simulation tool designed for pay-per-use offerings to Indian MSMEs. Collaboration with IIT Bombay is in place for integration with their digital twin project. Commercialization discussions are ongoing with AmiT and Production Modeling India (PMI) through a startup named Simuliware. Prof. Bhupesh Lad Indian Institute of Technology (IIT), Indore, Madhya Pradesh, Madhya Pradesh Department of Science and Technology (DST)
The project focuses on hyperspectral image analysis combined with machine learning for germ detection and precision agriculture. Approximately 100 image samples have been collected, and the data processing code has been developed and successfully executed on the available dataset, demonstrating the feasibility of using hyperspectral imaging for crop health and disease detection. Dr. Pawan Kamalkishor Ajmera Department of Science and Technology (DST)
The project has developed a consultancy app capable of detecting anemia through palm image analysis using AI-based diagnostics. The app aims to provide accessible, non-invasive, and affordable healthcare screening. A startup, HeyDoc, has been registered to commercialize the technology and scale its deployment across healthcare and wellness sectors. Dr. Arnav Bhavsar IIT Mandi iHub and HCI Foundation, Himachal Pradesh Department of Science and Technology (DST)
Thermal imaging system based smart healthcare system for early detection of foot ulcer in diabetic patient Dr. Mritunjay Rai Department of Science and Technology (DST)
The Smart Energy Metering and Billing System (SEMB): Enhancing EVCharging Infrastructure for Efficiency and Accessibility Dr. Shailendra Kumar Indian Institute of Technology Bhilai, Chhattisgarh Department of Science and Technology (DST)
The Specific QoL Cancer Care Platform leverages AI, digital tools, and remote monitoring to deliver personalized, patient-centric cancer care in India. It enhances quality of life by providing predictive insights, continuous symptom tracking, and real-time support to improve overall treatment outcomes and well-being. Dr. Saikat Das All India Institute of Medical Sciences, Bhopal, Madhya Pradesh Department of Science and Technology (DST)
The Vortex Energy Generator Prof. Nogendra Kumar (IIT Bombay) Indian Institute of Technology (IIT), Bombay, Maharashtra Department of Science and Technology (DST)
This project focuses on an AI-driven analytical framework to study Obstructive Sleep Apnea (OSA) in obese heart failure patients. By integrating physiological data, predictive modeling, and advanced analytics, the system aims to enhance early diagnosis, risk stratification, and personalized management of OSA in high-risk cardiac patients. Prof. Sanjeev Sinha All India Institute of Medical Sciences, Telangana Department of Science and Technology (DST)
This technology enables continuous closed cerebrospinal fluid (CSF) glucose monitoring in patients with external ventricular drainage (EVD) using an adapted Continuous Glucose Monitoring (CGM) sensor. The system aims to provide early detection of CSF infections, improving clinical response time and patient outcomes through real-time, minimally invasive monitoring. Dr. Deepak Agrawal All India Institute of Medical Sciences, Telangana Department of Science and Technology (DST)
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