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Soumya G. D.
Soumya G. D.
is an accomplished educator and researcher with three years of experience in teaching adversarial machine learning, networking, algorithms, and machine learning. She has developed specialized expertise in adversarial machine learning and its applications in real-world scenarios, along with a strong background in network systems and algorithm design. Ms. Soumya's research contributions include her paper, “Deep Neural Network with Stochastic LWTA (DNN-S-LWTA) for Adversarial Machine Learning,” which was accepted at the prestigious Springer LNNs International Conference and presented at Metropolitan University, UK. Additionally, her innovative work on “FaceShroud: Advanced Real-Time Mask Detection using Deep Learning” earned her the Best Paper Presenter award at an IEEE conference, recognizing her contributions to the field of computer vision and deep learning. Ms. Soumya is also a contributing author to the book “Natural Language Processing,” published by SIPH, where she explores the intersection of machine learning and natural language processing. Her diverse research interests and academic achievements reflect her commitment to advancing both theoretical and applied AI technologies, particularly in adversarial machine learning, real-time AI applications, and NLP.
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