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Dr. Sat Kumar Tomer is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Kanpur. His primary research interests lie in Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI). He focuses on areas such as text summarization, question answering, dialogue systems, information extraction, and addressing challenges in low-resource languages and multilinguality. Dr. Tomer completed his PhD from IIT Bombay and pursued postdoctoral research at the Idiap Research Institute, Switzerland. He is actively involved in leading research projects, publishing in top-tier conferences, and mentoring students in the field of AI and NLP.
Sat Kumar Tomer's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Holds a professorship in the prestigious Department of Computer Science and Engineering at the Indian Institute of Technology, Kanpur, a leading technical institute in India.
Leads the Natural Language Processing and Artificial Intelligence Lab at IIT Kanpur, spearheading research and development in cutting-edge NLP and AI technologies.
Authored and co-authored numerous influential research papers published in top-tier international conferences and journals, contributing significantly to the fields of NLP and Machine Learning (e.g., ACL, EMNLP, NeurIPS, AAAI).
Earned a Doctor of Philosophy degree from the Indian Institute of Technology Bombay, one of India's premier engineering and research institutions.
Conducted postdoctoral research at the Idiap Research Institute in Switzerland, a renowned center for AI, multimedia information management, and human-computer interaction.
Indian Institute of Science - Year 2008
Indian Institute of Science - Year 2006
Kamla Nehru Institute of Technology - Year 2003
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Satyukt Analytics Private Limited is an agri-tech company specializing in leveraging satellite imagery and data analytics to provide precision farming solutions. They offer services such as crop monitoring, irrigation advisory, soil health assessment, and yield prediction to help farmers optimize resources, improve crop yields, and enhance sustainable agricultural practices. Their technology aims to make farming more data-driven and efficient by providing actionable insights for better decision-making in agriculture and water resource management.
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