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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.

Total Records 1299
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Title of Innovation Innovator's Name Research Area Implementing Organization Funding Organization
Human-Guided Knowledge Acquisition, Virtual Teaching and Robot Task Execution (Seed Project) Rohan Paul Indian Institute of Technology (IIT), New Delhi, Delhi Department of Science and Technology (DST)
Human-in-loop Control for Semi-Autonomous system under presence of sensing and actuation Dr. Niladri Sekhar Tripathy Indian Institute of Technology (IIT), Jodhpur, Rajasthan, Rajasthan Department of Science and Technology (DST)
Human Intent Identification for ‘Motion and Impedance Control’ of Assistive Devices for physical Human Robot Interaction and Implementations Soumen Sen Department of Science and Technology (DST)
Human Machine Collaboration with Deep Neural Networks: Efficient and Generic Interactive Segmentation Framework to Correct Test Time Mispredictions Chetan Arora Indian Institute of Technology (IIT), New Delhi, Delhi Department of Science and Technology (DST)
Human Motion Capture Platform Mohanasankar Sivaprakasam Indian Institute of Technology (IIT), Madras, Tamil Nadu Department of Science and Technology (DST)
Hydrodynamic response of a micro-swimmer in a microchannel Sumesh P Thampi Indian Institute of Technology (IIT), Madras, Tamil Nadu Department of Science and Technology (DST)
ICAR-CIPHET, Ludhania Er. Urhe Sumit and Prof. Sunil Bhand Department of Science and Technology (DST)
Identification of novel biomarkers in ovarian cancer and design of appropriate prognostic probes Prof. Rajdeep Chowdhury BITS Pilani - Hyderabad Campus, Telangana Department of Science and Technology (DST)
I-DiagnoCe (IoT-based, Intelligent, Detection and Prediction Platform for Diseases and thrips attack in Onion Crops based on real-time Captured data) Prof. Maryam Shojaei Baghini Department of Science and Technology (DST)
IdleRobotics : Perception HW and Stack with sensor fusion Abhijit Lele Indian Institute of Science, Karnataka Department of Science and Technology (DST)
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