In the era of precision medicine, researchers are utilizing technology to provide treatment outcomes by considering diverse data sources, including image features, clinical features, and automatically learned features from deep neural networks. Infor
Section: Medical Sciences (Research Project)
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Data-driven Stress
Data-driven Stress Unsupervised Framework for Constitutive Modelling of Materials (DD-SUFCoMM): Development and Experimental Validation of Novel Physics Informed Machine Learning Frameworks to Model Heterogeneous Materials and History Dependent Materials.
Research Project › Engineering Sciences
Design and
Design and Implementation of a Hybrid Nature Inspired and Machine Learning Based Intelligent Optimization Model for Crop Recommendation in Rajasthan, India.
Research Project › Engineering Sciences
Inverse Designing
Inverse Designing of High-Entropy Materials Using Data-Driven Machine Learning Approaches
Research Project › Chemical Sciences
Computational Anthropomorphic
Computational Anthropomorphic Model for Dosimetry Studies for Emerging Millimeter Wave based Applications
Research Project › Engineering Sciences
Development of
Development of a Data-driven Fruit Ripening Detector based on Bio-Impedance of Senescent Fruits: Mangoes and Papayas
Research Project › Agricultural Sciences