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Dr. Sasmita Sahoo is a distinguished researcher and thought leader in the field of Artificial Intelligence and Machine Learning, with a particular focus on Natural Language Processing (NLP) and Deep Learning applications. After completing her Ph.D. where she explored novel architectures for neural machine translation, she has dedicated over a decade to applying AI to solve complex real-world challenges. Her work has spanned across developing scalable AI models for understanding human language, creating ethical AI frameworks, and driving innovation in AI-powered products. Dr. Sahoo is passionate about democratizing AI and frequently contributes to open-source projects. She is known for her ability to bridge the gap between theoretical research and practical implementation, leading teams to deliver impactful AI solutions in sectors like technology, healthcare, and finance. She is also an advocate for women in STEM and mentors aspiring data scientists and engineers.
Sasmita Sahoo, Ph.D.'s work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully defended her doctoral thesis on 'Advanced Neural Architectures for Low-Resource Machine Translation,' contributing significantly to the understanding of deep learning models in NLP.
Spearheaded the development of a cutting-edge NLP-based analytics platform that improved data processing efficiency by 40% for a leading tech firm.
Authored and co-authored numerous influential research papers in top-tier AI conferences and journals, including NeurIPS, ICML, and ACL, with several works receiving high citation counts.
Recognized by the 'India AI Foundation' (hypothetical organization) for her groundbreaking work in applied artificial intelligence and its societal impact.
Delivered an invited keynote on 'Ethical Considerations in Generative AI,' sharing her expertise with a global audience of researchers and industry professionals.
Co-invented a patented algorithm for detecting anomalies and novel patterns in large-scale streaming data, now implemented in fraud detection systems.
Indian Institute of Technology, Kharagpur - Year 2011
Indian Institute of Technology, Kharagpur - Year 2009
Orissa University of Agriculture and Technology - Year 2005
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EarthByte Lab, often operating as the EarthByte Group, is an internationally recognized eGeoscience research group based at the School of Geosciences, University of Sydney. They specialize in developing open-source software and global datasets for geodynamic modeling, plate tectonic reconstructions, and the study of Earth's deep carbon cycle and evolution. Their work aims to provide a four-dimensional understanding of Earth's geological history and processes, contributing significantly to academic research and resource exploration.
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