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Anshul Thakur obtained his PhD from the School of Computing and Electrical Engineering at the Indian Institute of Technology Mandi in 2020. His doctoral research primarily focused on pattern analysis of audio signals using dynamic kernels and tensor factorization in deep learning. This work led to the development of machine learning frameworks for acoustic classification and weakly/semi-supervised acoustic event detection. He has also applied these machine learning frameworks to identify speech articulation disorders. Anshul’s research interests mainly include data-efficient deep learning, adversarial attacks, deep learning interpretations, and tensor factorization. He is particularly interested in developing machine learning and AI frameworks for biomedical healthcare applications. Currently, he is working on projects that apply knowledge from machine learning and AI frameworks to the Covid-19 pandemic.
Department of Politics and International Relations - Higher Level English requirement.